[2026-01-29 05:47:41] local.INFO: Image-to-Text API Request Received {"data":{"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_image":{"Illuminate\\Http\\UploadedFile":"C:\\xampp\\tmp\\phpCA4A.tmp"}},"file_present":true},"timestamp":"2026-01-29 05:47:41"} 
[2026-01-29 05:47:41] local.INFO: Validation Passed {"data":{"sign_width_or_height":"120","user_input_dimension":"width"},"timestamp":"2026-01-29 05:47:41"} 
[2026-01-29 05:47:41] local.INFO: Prepared Query Parameter for Image-to-Text API {"data":{"query_param":"banner_width_ft","query_value":9.999996},"timestamp":"2026-01-29 05:47:41"} 
[2026-01-29 05:47:41] local.INFO: Calling Image-to-Text API {"data":{"file_name":"Screenshot 2025-10-28 100019.png","query_param":"banner_width_ft","query_value":9.999996,"file_size":37443},"timestamp":"2026-01-29 05:47:41"} 
[2026-01-29 05:47:41] local.INFO: Trying Image-to-Text server {"data":{"url":"https://edgebased.codeblue.agency/docs/process-image?banner_width_ft=9.999996","file":"Screenshot 2025-10-28 100019.png"},"timestamp":"2026-01-29 05:47:41"} 
[2026-01-29 05:47:43] local.ERROR: Server FAILED {"data":{"url":"https://edgebased.codeblue.agency/docs/process-image?banner_width_ft=9.999996","error":"Server responded but data invalid"},"timestamp":"2026-01-29 05:47:43"} 
[2026-01-29 05:47:43] local.INFO: Trying Image-to-Text server {"data":{"url":"http://imagetotext.marke-ter.online:8002/process-image?banner_width_ft=9.999996","file":"Screenshot 2025-10-28 100019.png"},"timestamp":"2026-01-29 05:47:43"} 
[2026-01-29 05:47:45] local.INFO: Server succeeded {"data":{"url":"http://imagetotext.marke-ter.online:8002/process-image?banner_width_ft=9.999996"},"timestamp":"2026-01-29 05:47:45"} 
[2026-01-29 05:47:45] local.INFO: Image-to-Text API Response {"data":{"status":200,"body":"{\"objects\":[{\"index\":0,\"position\":{\"x\":359,\"y\":42,\"width\":89,\"height\":75},\"actual_filled_area\":305.0,\"bounding_box_area\":478,\"image_base64\":\"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\",\"scaled_width\":23.84,\"scaled_height\":20.09,\"exact_perimeter\":111.77,\"approximate_perimeter\":102.87,\"convex_hull_perimeter\":77.21,\"perimeter_pixels\":417.28,\"approximation_points\":12,\"original_contour_points\":119,\"shape_analysis\":{\"perimeter_to_area_ratio\":0.3665,\"compactness\":0.3068,\"aspect_ratio\":1.19}},{\"index\":1,\"position\":{\"x\":220,\"y\":42,\"width\":134,\"height\":71},\"actual_filled_area\":314.58,\"bounding_box_area\":682,\"image_base64\":\"iVBORw0KGgoAAAANSUhEUgAAAIYAAABHCAYAAADCzT+AAAAgAElEQVR4AezBCbylV1Xg7f9aa+/3PaeqYoAGgorAvXARFJFBRZupDS2DAzYfYANJCGGKhBCIaMtnQ6sgCAmjUhWgkSEhSSUQJpEMJAabQZBKBUSqgoIoCgItYUjVvefdw1p9DkNr82tbhgSphOeRv953Hv/j4neGmBEeiAi9N1bMEqZC98DMcHdW7n3/x3PETW8ufNf/4XNXfpY/OueU6L2TLFF7RRG+RITeO5YMPBAR3J3eO4iQzPiq//Bzj+Zma7dhSfg3Ivv27OS8sy+J1hoiikdnZRxGeu9074gIOWcIqLXy8Cecytr6hvBd/4f/ceGr408uehO9dxAwNVSVUgqqiohiptRaIaD1xmw2o7UGEdTeMVV+8IfvyFHHP50l4d+I7LtsZ5x35iW4O6JCRODujMNIbRVEUBFWpmli5ZEnv4C19Q2WhO/6kq2DV8Vpzz6eg5sLai2IKCklenfMBPdAVRFRvHfUlFoLKSVyHpimiYhgHGeUOnH8k07lJjfbYEn4NyD79+6K3a++ABXBCQhQVUSEICCglEpKRnggKhx70nNZW99gSfiuL3nXpefFxW8+g5SMMhUsZSIcVcNMab1BQOsdM4UAVWUlIvDuWE7gjkdw+zvdnQcc82SWhH8Dsu99O2P3ay6AAFUFBBForaGq5JRpvePRSZpQEx72uGeztr7BkvBd1DrFzmc9his/+zlUFFFBROi9Q4CoIALugbujpiRLtNbIeaD3hogQ4bg7loycBk749edz+A1uypLwbSb7L9sV5519MbVWzBIRQffOiqkhIpgZpVZarQzjwDGPP4W19Q2WhO9i73vfHm8++wWICMkSrTW6O6pC7x1RgYCcMxEgAhFBaw1VJaVE706E4x6kbCQ1fuwnfoZ7P/h4loRvM9m3Z2ec+5qLUFW6d0QU7w0RRVWJCGazEfdgc3MTEeG4Jz2ftfUNloTrOHePl516Ip/8xN8DQQDeOmnI4EH3jiUjWSbCiQgiAoQlISJIaogK3TsEWEpEOCllTnrqLrbv+HcsCd9G8qH3vTjOPeNCUk4sFhPJDESJcEQEEaG3jpoiKkjAMU84lbX1DZaE67gr9r4ndp/+LEQUQejeERFSMrw7tTdUFA9HRRAEUWUlImitkSwTBGZKbZVxGGmtIxLc9+cexF3+4zEsCd9Gsv/y02L3K8/HkjFNBQgQSJYAQUTovSEiuDtmyrEnPY+19Q2WhOu403c+Jf7qig8Bgari7uQh492JCATBktF7x8yotZJTJgTCnZQyEUHrjXAn54FWK46jqhx++PV43FNOYzbbxpLwbSJXXH5anHfWJfTeaa0hIozjSCkFRIBARSmloCq4B4980gtYu+UGS8J12Cc+vjde8XvPpNZCskREYGrUWhBRRITuHTMDBPeOiDAMmcU0YWqYGf8kEBFKqVgy3B1FeMhxD+fWt///WBK+TeRD73txnHPGhYgI4Y6lhIjSWiWCpSDnTC2FPGTC4ZgnnMLa+gZLwnXY7j/47fjrD/8FvXcinFoqeRzx3kFARKilMp/P8e50b4CwknOm9457BxGGlOm907yRLKGmREDvjSOO+F4e/eQXk1JiSfg2kH17dsbu0y/AvWOWCIfA6b2Tc6a1RkqZCMd7R0w57onPZ219gyXhOuozn/pwvPS5v0GZCjkl3B0R6O4IgiUFhNYaEUEeMrUWZuOcWguqxkopE8MwEATZMq03hjzQWkVViQhWHvKo47nlbe/DkvBtIPv27Izdp19ABKgKRNAjUBFSSvTeUVNMjYhg5agTns3a+gZLwnXUW844JS7b+24iguhOSglVZWoFAnLORAQpJWqr9NoRIA2Z3hqIkJJRWwUHFFQUVaX1RhJlHGfUUogIbnXrNX7p+OehqiwJ1zC5Yu9pcdar3kpE4O6kZPTupJTpvRMRRHRSSqSUaK1z7EnPZW19gyXhOuiz//jJeMkpT6ROE6VWLCXMDCIQESKCiGA2G5mmwpcFwzDQWqP3jqpCsBSYJdw7lhPhQUQQrZOHDB6oGe6dhx3/G9x848dYEq5hsv+ynbH79AtRVVYWiwWmRkqGqOAehAdiAhFEwCOe+DzW1jdYEq6D3nnhi+Pi8y9CVXF3RAT3ICIYhoFhGLjqqqswM1JO9FrRZJgZtVTcHRFhPszw6OAQBNM0YWYMw4AoS0HvHUuJ3hq3/9Ef4uePeRZLwjVM9u3ZGee+5iJKKcznc3rvRASiQnhAgJoCQUqZgwc3efSTX8ja+gZLwnXMF75wZbzslBOZpgUBeHdSSvTeASElo7XKiogQEXTvHHHEERx2/e+lN2elLb7Apz7590hAdyciMDPGcaTWipkhGrg7qoq7Yynx0OOfyU1vvsGScA2S/Xt3xTmnX0htFRVjNhtxd1prpJTovTObjUxTQVgS5ejHP5u19Q2WhOuYy9/1injrG99K7x0PZ8gDvXU8OqKCoIiAqNBqIzwYxoGjHv1Ebn7ru/NVV/7Pv+aVL3wqZVoQARHOMAxYMnprdA9EQAA1wT0QEe58lztz5H96CkvCNUj2vW9nnH36BagKvTVQIVnCPVAVVgShe0dVMEscdcKzWVvfYEm4Dtna2oz/furj+NznvwAR1FrJKYNA784wZGqtpJQwM1QVd+d7v+/7eMQTX4SI8M/90bmn8P73vovZfMbW1hbjMNJaZdu27WxtbaGquDspJSBQESKChz/xhdzoiO9nSbiGyP49u+Ks09+KWcJbZ8XDGceRMhVElYhAVfDuqBnHnnQqa+sbLAnXIZf/2RvjjWe+gpUIR0RYGYYBdycicHdSSogKpkYphQce9QR++M734mt94m8+wKtf/JuklIlwIgIRofXGkDM5JTyc6M4wDtRS6b1zl7vel3vc/7EsCdcQ2b93V7z2NW+j985sNqPWSu8dENw7KSUinAhwdyKcR578QtbWN1gSriNaq/Hy5z6WK688gHun946ZsVgsGGcjK96dbEYeRkqZMDWud/3r8+hf/X1SHvlaEcEbXvlf+dhHPoolY7HYYhgGWq2M40BrjZQSgqAKvXc8ICXj2JN/j+85/EYsCdcA2XfZzjjn9AsRBDMDgjwMlFIwNbp3RITaGiaKiHD0ic9hbX2DJeE64gOXvT3OO/15mCo5ZUopzOYzWm/gYMkopbBjPmeaCkigohx5v2P5iSPvz7/kwx98B3+4+8VIBL1VhiGjqvTuRAQezmw24t6JCIZhoPfGj93tF/nJez2UJeEaIPv27IyzX30+Zoa7s2KqtN7JKbNSa8E96N6Yb9vGMY8/hbX1DZaE64BY2v2SX+NvP/5xylSYzWZM00Tvnfl8jrtTayGlDD1QE0xB1DjhqS9j27bD+Ze0VnntS5/MJ/7uE+ScMVOGYeDAgYPknFATVlSVFTPDVJjNZzzwMacwm38PS8LVTPbvPS3OftVbCQI8EFMEofXGyjAMhAfuTs4JQXnYCb/L2voGS8J1wEc+fFm89hXPJqeMh1OmCY9AREgpoQHhjprh3rFkiMDd7vXT/OS9Hse/Zs8738I7zj8DCLo3tm2b01vDUqK3RkoJFUEl6B6EOzt27OB2d30wd/zJ+7AkXM1k356d8bqzLibC6e6YGiklPIIyLVBL5JRotSKmeHeOPem5rK1vsCRcB7z2lb8VV/z55SRLmBkRQamVIWdaa4zjiLvTu4M4Q06AcNzJz+MGN7op/5rF4ipe88IncODgQRTBVJltm7O1WGBm5GRE70QEIsKKirLj8MN5wGNOZRhmLAlXI9n3vp2x+4wLEBXGYWRzawsREARVpfVGThkISqkEwaN/5UWsrW+wJFzLfeoT++LMXb9D751WCzkPREDQEaCHY6KoKb13WmvM53N+5A534mce9F/4eu15x1nsfdeFeKsoQgi03hlSQgQI0GQoAgHuHXfnbj/3SG5zh3uxJFyNZN9lO+PsV5+PqTEMAyJCa42VUgoiwkrOGVOltsYxJ57C2voGS8K13JvPfF5c8YH3EAhCoGYgQZkmLBnjONK9IwitVSIEVeFhJzyd7/+B2/L1OvDFT3Purqfg0ahTxZIxm80o0wQKKSVUFFFBEXrvjLOR7d9zQ+539G9hllgSriayb8/OeN1ZFyMiTKUw5Iyo4N1REVDBe6f3TkoJEeGoE57D2voGS8K12JX/+DfxklN+hWyGIFgyVkqpDDlT6gQIKSU8HBEggpvd4nb80mN/i2/U+y46jY/u/wAHDh4EAjNjGAcEIcIhQBSSJRaLBdvmczzgHr9wFDe5xd1YEq4msm/Pzjjn9AtBgt6drzIzVJXwwMzwcLx3AnjESc9j7ZYbLAnXYpe85SWx5x0X495ZiQhyTtTaGIaMiCAC7o6qQQS1Nf7zY07mFre6O9+oz3zqY7z19KcjIrh3UkpEOMMwEOGoCtNiYjab0XvQW8Fy5gY3vhX3fsh/QURYEq4Gsm/Pzjjr1W8lWyLlTO+d3jsqSqkFs0Trlfk4JwhKKTzy5Bewtr7BknAt9cUvfDr+4NSTiXBab6wEkMyAIJnRWsU9EIFhGGitcsMbHcFRT3gRZolvxrvfciofev/7GcYMEYzjSG2VpIYlxT1QTSwWW4jCkDOqxpEPeiz/7iZ3Ykm4Gsj+vbti96vPR9RIatRWiXBUDFVlmibykPkSAXfnESc9j7X1DZaEa6l3XvAH8advPx9VxcOJAFFBAgInp4R3ZxxHai2IKjkbR/7CUdzmDj/LN+vvPvJBLn3D87EkqCgBiICKMI4Di8VEKZWcB3IyQhxB+IFb3pa73PdJLAlXA9m3Z2ecd/YlRDi9O2qGilBrxcxQVVpvCIKqQsDRJz6HtfUNloRroc2DX4yXP/fxtFIptZCSomK4O0GQzVAV/kkgKhx++GE8+JdfyHy+nW9WRHDhmU/l85/9DN07pgqqtFpQVWazkVo74zCwmBaYKckS7s69HvyrXO9Gt2JJ+BbJ/st2xe7TL6D1hoqioqgpqkq4A0L3Dghmiohy1Am/y9r6BkvCtdAH33N2XPCm15NzIiJoraIqiBgi0Gtnx445Hk7OiVobK3e+689ylyOP4lv10Sv+hPdddAZmirsTEYgIBIgJJgkzpbeGdyfnjJqy9oO34UfueSJLwrdI9u/ZFWeffj5mhntgppRSWEk5YWa02hjHkd47EcHRj38Oa+sbLAnXMtM0xatf9Ct87rOfxExJmlgRFVQFESHnTG+V1hsB5JQ5bMd2fvGRz+B7Dj+Cb1WtExef/TQWmwfwcGqtEDAOA603VIVt27azeXATM0NEEAV3uOcD/xvXv+ERLAnfAtl/2c543VmXUGtFVXHvqBjDONB6o7eOqpJSIiIotfKIk57L2voGS8K1zEc/9Oa44PWvpUwTgpCy0VplxcwQIIBsRjJla3OL+bY5t7zdXfnp+/8yV5e/fP+b+eC734qH4+6oKitqinjQeyPnAfcgIvBwBOF2P34XbnOXR7EkfAtk396dcd5rLib4J713hmGg984/N5WCAI88+QWsrW+wJFyL9NbizN8/mc9//rPUUpjPR1pvrLg7qspKMmUcBlqtfNUDH/ub3PCIH+TqcvDA57norKfSSsHDiQh678xmM7x1RCCC/83dWZnPZxz50Gex47DDWRK+SbJ/7644+1XnIyJAAIKqsuIRmCrTNJGSISKIKMeceApr6xssCdciH/mLd8YbX/MC1IRhHFhREUopzOZzeiuIB6LCkAciAkvKLW69zk//p9/k6rbvPa9g/2Xvxd2xZLTaSDmjIiwWC8yMnDMRwWKxIKVESok7/NR9WbvDL7IkfJNk356dce5rLiI8UFNAgKDWSkpGShlBKHVCRDEzjjrh2aytb7AkXEvE0vln/lc+9td/SykTOWdMlfAAASJIyeitISqoKJaM2Thyt/v/Mje/5Z25un3uM//Apa/7bdwdVUVEKKUQBDkPuDsiUGph23wblhJXHbiKw3Ycxn2OfjbDuI0l4Zsg+y/bFeedfQmlTFjKuDvhjoigqgggqrg7pUzkPPDwJ5zK2voGS8K1xN9+9INx/tnPQYQvEQT3jogwG0e8OyFB751hGBBAVbj+DW7I/R7+u6gq14QPXPpiPvaX+xGBxTSRzCi1knPGzHAPRAIVIwhKmRjGkfU7Pogf/fEjWRK+CbLvfTvjnNdcSEqJ1hoiintHRBARRCBZJiSYtiYQOO5Jz2dtfYMl4Vri0tc/I/5q34cRAVWltcY4DPRwVJRaKykZKWdUFTwQ4Kfu8zDWb3ck15QrP7OfPz7vhbTSUFMiIMIREVSViGAYBjY3txCBcRxZbC24wY1uyM885FlYyiwJ3yDZt2dn7D79AoYhs7m5RUoJRBC+TFVozVEVVJWVY048hbX1DZaEa4FP/v3H4s2vehrhHe+N+bbteO+oKuM4Mk0TgWNmuDsmighf8qN3ugPDDiGCpWAlp0yE4+4EgajgrWMp4RGYKhEsBRDg4BGsRAQpJdw7akav8KHLP0gpFVUhQhmGzDQtGHJma7HAkjEMI5sHD5JzRtWYz+b80N0ezK1ue3eWhG+Q7N97Wpxz+vmA0Hon3FFVVAQ1JRxab6gZ3jsiwnFPej5r6xssCdcCf3rh78W+yy8johMRDDmjZmxtbTGOI7VWhiGTUmKaJpIlkgorKWemacK9k3Om984wjnh33B2nk1PCzCBgURaMw0hE0N3ZNp9Ta6XWCgHjfMbBgwdJouScaa1hOeHumBmlVJJlFosFaoogmBkRQYSDKK1WxnHk8BvciHs/7BmoKkvCN0D2X74rXn/WH9O702pFVRjHGVOdIEBVMDUObh0kpwF357gnPZ+19Q2WhEPclZ/9h3jzy3+DwFERBEFNERG2trYwNcbZSCmFcRypdQICEWU+n1NrxaOTckKA2XzGVV+8ClXFVPFwRJQVdwcRhpyptaJqIEAEqkp4oKZM08Q4jJRSWEk5UWuDEESFaVEYcsYjiHCGYWCxmBiGgdoarTbGcWSxmLj3Q5/ED6zdmSXhGyD79rw4znrV+agqgiAqiAi1NVQEdyfnTOuNZImVY048hbX1DZaEQ9y7Lzwj9l9+ESLCkAbMlN47lowyFSIcVcFSppaKEOScmWph23xOEKgorXe8d8ZZRkXo7iAQPUhDxnunuxMeILBtPmMxTbTaEFVMFRGht04aMtEDEaHWhopSW2UlD5lpURhnA4utgqqCgITg7pgZCExlwnLi+2/+w/zMg3+NJeEbIPv27Izdp19I90ZOmYiAgNYbOSfcAzNjpfeOiHLsSaeytr7BknAI2zx4Zbzh5U+hThOK0ryS0kCphXEYiO4ggaowm88QEUqZyMNAr40VD8fUaL2Tc6bWgqqRc2ZaLFgRVcZx4KovXsVhhx3GYrFAU8JEOXhwk2EYCIKcMu6OmVJKJedMKYWIABRVpbeGmjKfz1gsChGBmrK5uUX3zmw2Y6XWBgTjMOPeDz2JI77v9iwJXyfZt2dnnHPGhbgHK2ZKhGNmgNC9IwhmhghEwFEnPJu19Q2WhEPY+97xlviLd7+W1iopZySg1IKKklJiGBIiwoqoIEAeBspUqK2SU8bMKKWgpuSUOXjgAJqU2XyEAEvGYmuL1joqhlmmtYKg5DFTpoKq0lsn5UREAEJtlZwHeutEBGpGbZUv8cCjY5ZJyRA1Dhw4gIiQzCAgBGqp5JxZv+0dOfIBv8KS8HWS/Xt3xdmvOh8Rwd0REdw7OWda70gIvXfykDFVguDox5/C2voGS8IhqpSD8fqX/RoHr/oiZomIQAREhN4d3JnNR9ydlBIRQUqJiCAiKKUQEcxmM7o7AkQE3jvdnZSN+XwbW1tbEEHvndk4o/ZGqw0VQc2otTLkkalM5JzprWPJWEwTljK9N3LOlFKIAPdOSolWGmpGzplSCt07yTIeTusNIggRTBKqyoOPfzo3uNEaS8LXQfbt2RmvPfNtqCqtNSKcCFARRAURgQAxITwQFY4+4RTW1jdYEg5R+/eeH3928TmoKqpKaw1RYSXCqaWwffs2Smlsm8+orWFmpJRZLLZIyejdab0zG0dWaqsQICIIIGZEBL05ZkqtlZSMWhoI5HGg1Yqo4b1TSiE8MEtoMiwZW5sHSWmg1oaZUqfCfPs2am301jAzPCAI3ANEiHBUjd4dd4eAO931P3D3+z6OJeHrIPv27IxzzriQlYgAgggYhoxH4L1jZqgqQdBq49iTnsva+q1ZEg5BrZX4o1c/jc/946fIOaOibG5tYqYMOVF6QxFmsxmCUGrB3fEepJyYponZOMejIyJEgKri3lksJmbjiIeTc6a1Rncnp4yI4OH03imlMJvPaa1Ra2U2G2nVUVUW04KcEiu9ddwDS0ZE0HvHUmZRFhCCpUQtjSCYzWa0VqmlYinh3dncWrBjxw7MlKNPegHXu/6NWRL+FbJv787Y/arzGYYBM6O3TmsNFHrvqCgezmycERH03jnmxFNZW99gSTgE/c2HL453/OFZhAfjfGSxtYAAS0LOme4OASIgKoQHgjKVwmw2Eh5oMspUaK2RUmKl904QzIYZpRTUlHHMTGVCUHoPkKDUirtDBHkYaa2RkuHdsZw5uLnFkIzuzjiMlGkiVBiHgalUIoTFYgs1w8SIgIhAVSmloiaYGt2DWgqWMxHBPe79M/z4PR/NkvCvkP17d8W5Z1xIRDAMA7133B0VRVSotWJmCIKI0L1zzImnsra+wZJwiHH3eOtrfpsrP/1xVJWcMotpQc6ZlBR356u6d3pzAkElcA9SMlQVUHrviAitNUwVNUNVCQ+2FlsMwwAq9N4RhGmaSDkDgvcOEuQ8UEtFRIgIRJWtaUJFEDUinAhQVdwD743FopJzRkQRCUAQUVYObh5ERBiGgdYdAjycZImUBx75qzvZseMwloT/B9m3d2ecd+bFeDjhQTJDVGm1kXNCVem1oaqICKrKgx/7O9xifYMl4RDz6Y//abztdX8ABGaGd8fDISBno/cOEQQgKkylYpYYUqaUgnfHsuHujMNAax2PjqhQW+f6h1+fL171BcKh9c6O7duprbF58CA5DwgQEYDg4Qx5YHOxharQuiNq1FpJKREeiCrhTmtORDAMAxEgAq013B1Vo3dHRCi1YMmotUMEwziACNPWAk3Gzz/wwdzuJx7CkvD/IFdcflqcc/oFRAQigkSQLKGqRICKEAREICqIKA9+7O9wi/UNloRDzKWvf3p84mN/i7szjiMHDhxgNs7QpBBQW6W3xpBHAscssZgWeDhmGVGopbJjxw6mxYSZMpVCskQQ4FBbQ1URAXdHRBERWmtEBBHBSoiyWCwYZzMQCHfMEikltjYXuAfuDgQRgVmi1oZaIghEhNYbpoapMpVCAK1VhjzwZYKIQcA0TdzwRjfkuCf/PuM4Y0n4F8j+y3bFa8+8CBFBRFCEVipqipmhJnRvzIYZHs7KAx/1O9xifYMl4RDyP/9hX1xy7guptdF7J+VE9KB7ZxxHWmv03kkpsZgW5JxJmphtm/Hj93k43YUIEBXCg4hARFhRFdyDrxIB74GIEAIEUAIZhXAQhZiCiIAGkgQUcCALtIAkIEFMQAcUcEDAtgd//KZX8LkrP0+EsxIh9N6AwNQQMRaLidlshnsjRAjg5x74GG7/E/dmSfgXyP69u+L1Z19Cbx01BXdMjXEcabXh3tCkmBm1d7w1Hvq4U7jF+gZLwiHkz85/flzxFx9EELp3LBnhwWw2Y2tri4jACWazGYutBarCym1//Eju8tPH8p1m77vfwNvecCZBoKq07hAdRBFARKm1kZKBCLU1PJzv/74b88gnvxQzY0n4v5Ar9p4Wbzj7EkRYEojAu5OGjBBEBB4dM6XUhgAPfdwp3GJ9gyXhEPGZT308Lt79TBZbm4yzGa03SinklBARamv07oAw5MQ0TeScQZQHPvZZXO8G389XCN8ZYvPg59j5jMcxTQvcO6qGJONLAlpvrIgKguDuiAjhwQOOfQq3v+NPsST8X8iHLz8tXnv6hYgIEKgKloyIINzJQ2aaCqrKMCREjQc+8rf5gZtvsCQcGuLyS1/EZX+6BzNFVUAgAjyccEdQSqmIKq1V5rM5rTVu86O35x6/8Ot8hfCdJd71Ry/n0ovfggiIKk6gZkQPWm8kS6gpK6UUVA3vnZuv35JHnPR8vkL4GvLhy0+LN+2+lO6dnDMQRDi1VnJOpJwZcmbz4CZBMAyZO/zkXbjB4duhARroTOmf7uiNFVFBHNwdTIgIRAQREBH6VR3drogAFXQQujs5J1rrCEJKRmudlA0CWm9EgJnSu6MqiAgigojSWwMRVIXwAAERwbsTBLUk9rz9T+jeMFFQQQQigvDAw3EPcs707tRaMVMC4eeP/v+56S1ux5LwHejKz/5dvPiZT2AYBkSEgwcPknOm9caQB1LKRDibm1sMw4C703uHgGNPfDrrt74DS8LXkA9fvive8ro/oZYKKgjg7pgZZkYQ5GQIwoGDBxhSxlKit4aZERFAAIKZoQZEIKYQASLUUklJEcDM8NZZsWREgJqAQ2sNVSOnhCUjJePAgQOknOm9kXPG3VmZjSOBkMy46sBVzOdzSpkYxxmlFAjBTKmtU0vhsB2Hsbm1RWuFcTbDu5NSotQCCLU2ZuMIAhFBbY0b3uRm/NJjn8NXCN+Z4sI3nsJl7/4zWmsIgqXENC1QMwRorTEMI2ZGb43unZQSP/hDd+BBxz2NJeFryBV7d8Ybzr6YYRiotaCagGBFRFARILCktNog+N/GccDMKHUipcQ0TagqIsI4GyEcEWGxWLBt2za8NQiIcCJgGEc2tzYxM0wUEcHdGcYBAsIDERAR1IzWGtmMqRTG2YiasFhM5DzQe6eWwjiO1FaZz7cxLSZaa+Scqa1illhMC2azOaVMIEKrjWSGqtHd6e4Mw0Brjfsf/Shudsv/yFcI36E++Xf74r8/7zdorTGMA61VUsq01oAg50yrDVUDgQ9rd3YAAAhrSURBVIjALBERPPqkZ/K9N78NS8I/I3/5/pfE68+6iHEc2draYsVUsZSAQEUgnBVVYyUiSCmRB8PdmaaJnDO9d1QERBARVMHMwB1BMDM8AiLovSNAypneGyCYGR6B946ZUltnyBl3R0SotaGm9N5QVVSFlZwHWm2ICrVWBMEjqLUyG2fknJmmBYigpngE0zRBCMM44u64O601iCDlzI7DvodjTtpJypkl4TtbnPeqX+fyyz7EkBOmhiVjc3OLnBIeDgF4sBKAmLJy+x+7Jw846mSWhH9GPvLnL4s3nXMx7h1BCHdUlSAwTUQ4vXdSTvTWiQjykBhyQlQppbBiZogIiCARSIBKMNXK9m1zIqCUgpmRLFFb5csEMwFRhC8rU8GSsSIirHTvjMPItJhovTKbzTBLRAQRjge4O1Ot5JRQU0SU1joRQS0FS4mcM6UUzIxaGzkNtNaICFbcHTPjnvf9z9zhrg9gST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n03shIJHHUe2O337FZNhRFJcw5qSok4W7IxX6/x2S4O26NyGSuK6fXnTLGJCohimWzMOYgsrjhm7+Xl77iNRyIA91394V6/A/ex9IXMoOi6L1BFQLMRG+Nopgx2SwLJgMKqthsNkQEmUHvC6gYY2VZOi4DEsmoTCRYlg3rGCxLB8Hu0o6T7YYrqpAZWYm7kxFEBNvtlv264taYc2KAt4YMxhhIoihMjkrIhHujKtjvV3prtN758z//Cinjphe+hpe+4jUciAPdf/bReuz33oO74c2RhJshCVGYwL0BRWuOBEtfGGMCibmgCijcHZkxx+DkZAMlTKIyseZAkZFkJNvTE3aXL9H7QnMHCklkJpLIKioTMxFVuIzNsuHS7hKtdcaYVCbbkxN2ly7Re6eKKyICSVQlyJBEZlAF3jtPef7tvPQV38+BONB9Zy/U5z75y1BF742lNeacHEmit4ZMuBuVCYiqxJujKrKKZdsgoTUnYpKR9N7ITNyN3heqCgm2m4XdpT1mxozJUWSwWRbcnapizknzRkaCwFoj5gSKOYPWGnMGZLHZbpgZHI11xcyICFprlIwZk4jAzJFEVvH0b/5evuf2H+RAHOj+ex6t//yf3k8zwwRVhbtjJlprVCVCtGbMOaDA3HF3xthjbix9QRIzJpveoZICeu/MMVmWTgHNncu7S/S2MMbk605PiQwkMDPWMWjmjDlp3qiCdd2z2WwYY9B6IyMwd0xiv98jczZ9YV1XQkGVMBOZxYxgWbZcvHgRM6M1p4CbX/h9vOyVP8CBOND9Zy/U5z/1foSAonlDEmZG605F0lvHXaxjRRIv/u7v4bqnfiO1TqiCAi0dcqJNp/YDzMESeaPmhCjUF3K3R71BTmy7pXJAGVSivqUuXaKaUF+oy3vojhIw4woJ5kSbLUUgRO4GxEQbp6KAoqpQa7AGmYkQEtCN7VNewNNvfg4H4kD3n71QX/j0L7P0Dd6cdeyRGVRxenrK2A+aCwTuTlXxvf/wx3jymVv5a078Bd1/9kJ96bEPcLQ92bLfr2QGJuHuVCWnJ1vGfmVzuiEzuf21r+PJZ27lQFwD9MA9j9b/eOwDjDmRidOTLTGD3htVxbqunJxsqQwig94Wbn/d63jymVs5ENcAPXjusfrSo78KMmJOzMTSG+bOnBMzI2Ny3XWn7NaV3hq3vfa1PPnMKzgQ1wA9eO6z9aef/QCYqEiikpPNlnXds9l0vDnrfsXdMG9UFX/3da/jSTfcyoG4Bug37320/ucf/Rrb7ZbMZHf5Mn1ZaGaYc1Asy8Llyzt662Qlt732dVx/w8s5ENcA/Ydzn60/feKDmENrjdacmEFrzrquLL3Te2eMFTNns1l4yau/n+tveDkH4hqgB889Vl/54m+QGUjGZllY1xUzERmQhbmTc+LuIOMVP/JannTmVg7ENUAP3f94/clnf4UnXX89Fy9+lSrYbDZstxt2u8u4O2Nd2Ww2zDnpy8J3/8AP8aQzt3IgrgF66P7H68uf/zX60ogZZCbuhuQI4c2JmGQmX3d6Het+z3f/0I9w/Q0v50BcA/TQfY/XV7/4YeSOyygKBG7OOlY2y4bMIsZKIcyNl/3gD3P9DS/nQFwD9FsPPF7/+wsfJiJorbHZbFjHgCrmnLgZBVQWvTmVxct++Ed50plbORDXAD1032fr8pf+LfvdDpNovePeyAwyCygkMecks5CKl73qh+hP+07+X8VfCXJzvu766/nL0G898ET92ec/yLIsjHWlAHfHJJCAQhKFGHNwsjkhIzi57jouXbxIUbgaM4MqGDmhYLfb0VpDiNYaEUVksl9XluZkcSCOxpwUoAQzp1S4OWMMxrrirVMSVUnMJKKAIiIwa0QGWYW3xjOf9Ux+9Kd/lQNxlfTRBx6vr3zhwxhgZkQkiANRFAjcnYxgzmCz2TAjGPs9fdmQkcwIWmtAscZkroFkZCabpbPfrxRHooDMIJMrZCLmJLNorTPnJCJJxBWVICMiAZGZRAYRiUxIRmaRGTRvPPM5z+YfvOlDHIirpIfu+2x95Y8/TEXSeweK3jqXdzu8N+acHFUVJiMz8daYc3JUiLGumDd6b4wZzDkwOXNMlu2Wr371IibhzckMIorWOzEmyYFEZRIRuDfGGMicGYEkMmGMgUnInBmTqgKKKmits64rQjzvG57P6+74AAfiKumh+x+vL3/+g2Qmm82GqqKyMBORyZyBu2MmIgszZ45B6411v2LuzBlIzpEEEcGMpHljzMmYg6UvjLnirXP54mVOT064tLuMeSOLKzIT98a6H2QWEZOsws3IKrISYSCYM8gqttstMSZVxTomz3/BN/Jjb/kgB+Iq6bceeKL+7HP/mhnBsiwcVSVzJpJRVSCRmRxlJstmYYzJHJNl2TDWFZkTmYDY7Xb03vDWWPeDzKT3Tmaw36+YO5lJVjEjMQkkMrkiI2mtMWMyozAzJCMrmGPg3ogMSEBGZUGBJJ713Ofw42/7EAfiKumjDzxRX/78h4AECZMYY+DuZIL3xrqubDZb5hxUQcwkKzEZ67oiM5p3IoJZQczAJDKgbzrrfiUjgaT1LbsxiAhMxhiTohDGUQkiClSYjIhJZdF6J2YyxqD1xpyTSmjuVBWRSZl47tc/j3/0lg9xIK6SHrr/8frzP/4NLl38Kienp+x3e0BkJXIjI2i9I4mxBpnFnBO1hiFk4vLly/TWmXPg7sxI3Jzd5R1ts7COFTNHMvb7FTMxR2LNcTPmnFRCcSCxritmhiSQMMQYEzMnMwFhJiKCpJAZlUVRPPvZz+H1P/cRDsRV0oPnHqsvf/5DVAEGYwyEMHPWdXDUl46AdQQI1nWQUciEmXBzdrsdrXdiBpgRkUQk3pzMRDKqYKyDIolIWusgkVkgGPsVEAjcnXUdUEISrXf26x53BwkK5hxEJpKoKsyM5z7nebz+7R/hQFwlffSBx+vPPv/rrGMlI4kseu9EBFUQc1KI1hq7/UpzJyuhoACTMeaALJAxMzF3qoqIYo6gKpFEIaqgNWdGYGas60oVV2QFwpGEmzPHwHtnXVeKAgkEJCCQRGaCRGUhxHOf+zx+4ud+nQNxlfTgucfqy//lI2QlY12JmXhr/F9FJUQVkljHREBmYSbkxowgM3HvjHUFiYyiqgCRWWQGBWQW5s5RRFKVRAa9bdjvdpg7MqcqGWPSesMkMouiKIqYgbuTmUiiqohI3A0hnvOc5/L6t3+EA3GV9NB9j9d/f/RXWJbOGJOIJKto7kQGBajEzElmcVQFBciMiMTd2e9W3Bvr2JOZuHXMRFWRVSBjXVfcnYjA5MjEGAM3Z86kVLg3spKI4GtkImYgiSpwcyKC1p05g6rEzJhz8g3f8Hxe/3Mf4UBcJT1472P1p3/0a0gciBnBfrcHCQkiEoorWu/s9ytZBTKgyEyWvuHy5R1FUYgqaK2x7lf60jmKCKogK6DEFSXGGJgZMmONQWXh7vTeqSoigsrC3MkMKJEZyAwzse5Xlu2GjCRi8vXPez6vf/uHORBXSQ+ee6y+9NgHyCooGGNSWSSFu5OZgIg5KTMigoiAMnpvzJhEJFlFZuLWkBkRQWRCFogDQwVIQFFZmDuRwYzA3IkIzIzIwM2ZM9hsNkQEYx3IjKoEit47VTDnAIQ3QxjPeuaz+Kl3/BsOxFXSb977WP3JEx8kM1nXlTmCkiiBmzPGYLNs2e12ZCbWnL/1ohfxlOtfQE2gQVHUCuriioAxky5RHHRYB3jBrMIlvAokjtYqzERlMQAHFon/VcV1EkEhg4xiIkSxlZEUFzMRoktsJK674Tq+7TtfzYG4Snrgnkfri5/5l7g7lcWIQG5kQswAhLszZxARtOb82B0/xVNveiV/hYm/BP3mvY/W5x5+HwGYOyaRmUQUlKgqJGOOFdyogte/7Q087aZX8hfEX3O6/+yF+uNHfoXIpKpwc8aYHEUkklESY10xN0C8/m0/w9NueiUH4hqgB+55tJ54+P0IQxKSiEpMxn4duDtCRCQzBmbGT/7sG3jaTa/kQFwDdN/ZC/XE77+fAjKT1jozJlVQlYCYcyKB0SiKf/z2N3LDzbdxIK4Buu/uC3Xhd99L6w0K1jE4mnOy3W4Z6wREVmLuVBY/8443csNNt3EgrgG67+yj9cjv/DPMG1BEBEhUJJKDBFVEBNYbmckb/skdnLn5Ng7ENUDn7r5Qj/3H9zHGoHmnKKpEZiKKLK7ISgqQxBvf8SbO3HwbB+IaoHvvOl/nP/EeMqF7IzJIiYjA3JhjIgkEQmQmb/6Ft3Lm5ts4ENcA3XvX+XrkY+9hZtC8YWbMmGQVVVAqhJBEZmJm3PGON3HmGbdzIK4BuveuC/WZj72bmYHMKAqKK6qKqgKEmXFUVbz559/MmWfczoG4Bujc3Y/WJ3/7XRzJREURGZgZkiFEZtKXzpxBVfGmn7+DMzffzoG4BuieO8/XZz7xXvb7Pb13xjowN5BRmRTCXZhEZlIFb/mFt3DmGbdzIK4BuufOR+oPP/5eMpOqIrOQxFFmUgWtOWZiRmIm3vRP38yNz7idA3EN0L13Xag//Ph7mXMgxIzA3akqjjKDqsLciUhac97yjrdy5lm38RfEX3O6587z9emPvRtkREwiAndHgszC3QBRVWQmZsbf/rZbeOZyA3qqqLVgACsHBYiiEIVkIFGZSCIiMHO0QK1cUZXYxtntgo2EXFQWaxULBxIyo7KoSqoKM+NrqoqqwsyoKhAIoyiEKAqqwISdGnWxyAzMnW965ffxpKc/W7r3rvP18EPvpC8Lc04iAyFkoqqgwMzIDMwdCjITSZgZlUXrjXVdcXNmTARYa1Dg7mQmVUllIROZiZlhZow56c3JLCoLc+MoKxGiqnB3IhKZoAqZEXOyLAtjDkyGmbGuK5KoSswcM0MSEYEkZEbMSWvOmMFb73g3N37Li6V77nyk/vDj7yMiMDeqkjkmkoCCElDIDG+NOQZVhSQkEEbrjf1ujwTenMzCzJlzYG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\"}}"},"timestamp":"2026-01-29 05:47:45"} 
[2026-01-29 05:47:45] local.INFO: Detected Objects from Image-to-Text API 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","scaled_width":23.84,"scaled_height":20.09,"exact_perimeter":111.77,"approximate_perimeter":102.87,"convex_hull_perimeter":77.21,"perimeter_pixels":417.28,"approximation_points":12,"original_contour_points":119,"shape_analysis":{"perimeter_to_area_ratio":0.3665,"compactness":0.3068,"aspect_ratio":1.19}},{"index":1,"position":{"x":220,"y":42,"width":134,"height":71},"actual_filled_area":314.58,"bounding_box_area":682,"image_base64":"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05:47:45"} 
[2026-01-29 05:47:45] local.INFO: Nested area calculated {"data":{"nestedArea":2418.3108999999995},"timestamp":"2026-01-29 05:47:45"} 
[2026-01-29 05:47:46] local.INFO: Mapped objects from Image-to-Text API 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"},{"id":"0ba73cce-2559-412c-8cc1-12ec2c2c9d90","height":19.02,"width":35.89,"perimeter":134.83,"area":314.58,"image":"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"},{"id":"bc4941d0-7a39-424b-b38d-e48db3c85c89","height":19.02,"width":17.41,"perimeter":116.35,"area":210.61,"image":"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"},{"id":"4137a94e-4ffc-4593-aedf-ebba1ed750b8","height":20.09,"width":19.29,"perimeter":102.66,"area":183.57,"image":"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"},{"id":"2eb3827d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05:47:46"} 
[2026-01-29 05:47:46] local.INFO: Number of letters detected {"data":{"noOfLetters":8},"timestamp":"2026-01-29 05:47:46"} 
[2026-01-29 05:47:46] local.INFO: Perimeter calculated {"data":{"exactPerimeterSum":665.1099999999999,"perimeter_in_feet":55.43},"timestamp":"2026-01-29 05:47:46"} 
[2026-01-29 05:47:46] local.INFO: Actual filled area sum calculated {"data":{"actualFilledAreas":[305.0,314.58,116.3,210.61,183.57,54.03,41.72,31.5],"actualFilledAreaSum":1257.31},"timestamp":"2026-01-29 05:47:46"} 
[2026-01-29 05:47:46] local.INFO: Occupied area calculated {"data":{"conversionFactor":0.00694444,"occupiedArea":8.73},"timestamp":"2026-01-29 05:47:46"} 
[2026-01-29 05:47:46] local.INFO: Average character height calculated {"data":{"avgCharHeight":15.47},"timestamp":"2026-01-29 05:47:46"} 
[2026-01-29 05:47:46] local.INFO: Original image dimensions and ratio {"data":{"originalWidth":452,"originalHeight":122,"ratio":3.7049180327868854},"timestamp":"2026-01-29 05:47:46"} 
[2026-01-29 05:47:46] local.INFO: Calculated sign dimensions {"data":{"widthOfSign":"120","otherDimensionOfSign":32.39},"timestamp":"2026-01-29 05:47:46"} 
[2026-01-29 05:47:46] local.INFO: Image to Text processing completed 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","scaled_width":23.84,"scaled_height":20.09,"exact_perimeter":111.77,"approximate_perimeter":102.87,"convex_hull_perimeter":77.21,"perimeter_pixels":417.28,"approximation_points":12,"original_contour_points":119,"shape_analysis":{"perimeter_to_area_ratio":0.3665,"compactness":0.3068,"aspect_ratio":1.19}},{"index":1,"position":{"x":220,"y":42,"width":134,"height":71},"actual_filled_area":314.58,"bounding_box_area":682,"image_base64":"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"},{"id":"0ba73cce-2559-412c-8cc1-12ec2c2c9d90","height":19.02,"width":35.89,"perimeter":134.83,"area":314.58,"image":"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"},{"id":"4137a94e-4ffc-4593-aedf-ebba1ed750b8","height":20.09,"width":19.29,"perimeter":102.66,"area":183.57,"image":"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"},{"id":"2eb3827d-b708-478a-8802-3d6ae71d5d91","height":8.84,"width":8.57,"perimeter":52.67,"area":54.03,"image":"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OfSign":"120","otherDimensionOfSign":32.39,"width_of_smaller_line":20},"timestamp":"2026-01-29 05:47:46"} 
[2026-01-29 05:48:06] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_depth":"3","sign_type":"Open Face Neon Channel Letters","mounting_type":"Flush/Stud 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\",\"boxArea\":\"478.95\"},{\"id\":\"0ba73cce-2559-412c-8cc1-12ec2c2c9d90\",\"width\":35.89,\"perimeter\":134.83,\"height\":19.02,\"area\":314.58,\"image\":\"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\",\"boxArea\":\"387.54\"},{\"id\":\"2eb3827d-b708-478a-8802-3d6ae71d5d91\",\"width\":8.57,\"perimeter\":52.67,\"height\":8.84,\"area\":54.03,\"image\":\"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\",\"boxArea\":\"75.76\"},{\"id\":\"6e89b265-6cbb-4d2f-93c8-06aadf5141b2\",\"width\":8.3,\"perimeter\":44.79,\"height\":8.84,\"area\":41.72,\"image\":\"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\",\"boxArea\":\"73.37\"},{\"id\":\"3315ced1-ed83-41f8-9c81-33a3469e0023\",\"width\":8.84,\"perimeter\":33.34,\"height\":8.84,\"area\":31.5,\"image\":\"iVBORw0KGgoAAAANSUhEUgAAACEAAAAhCAYAAABX5MJvAAAE7klEQVRYCaXBX2/WdxnH8ffnun53SdQHMv6MPyNiB+tIi8s6oC3MRYQ5l3nsmUEfguKRTjeyQJxGY7IsmdtgG4O1nbgCNx0lRPdENJ60v+/18S4x6oGJ/PT10qfv/dxf/OkOkYEwNkhQzSAh8ZBtJKEQLqhWdKMEir6ZBEpByGzr+0ZmEgjC2KKqCAUGQmLvoa8yPfc9dOU3F/zgwV1aa9hmW1VDCmwTGWBQiH6zJ7skIokQrfXYkBlsbm6BRJeJJCTR9z0u042Sra2ezEQSYEDMzB1m9uR59P6bP/Ln92+hCDKCrc1NsuuQRJdJ3xrlQhYKgQFBVQOJjKSq2GYbSUii73skEZm4iszENjIgKJun5p7k2MIP0dXfXvD6+hqZSd8aEUKIchGIVkVkUq1hF12OKBcKYQM22zKTqoYU2CYi6PueSCGCba2KkIgIbDNz7DCzJ86jK7/6sR/8eZ2trS1cJruktUIBGYkNVQ2FkAQWIVFuVJnMpFrDCAVgiAgiAgxbW5tk11FVZCYRom+NkDhydJrZhR+gD373E6+PP0MRSKKqiAhsI4mqwjbbQgEB1YxdlItR12HzkCQkgU2rYlvXJa1MRiDALmyQ4MjsYWZPnkdXf33BGw/GVBVVRWZgGxCSaK2RmdgmQrTWACEBBgStNbrsQPxTRqAI+r7nIRskMgJsIoLpo08ye/L76G9//Ys3+55H9cW9P3DjyptIYIvMxC6qivn5b/HY9DyPamo04ktf/gqyzb8x/8V4bZkP3vopXSZlY5tto27EyedeYv/XT/GIxD/INkOM15b94Vs/I7vkIQMSdnHq7CvsO7TEhBhAthli/Nkn/vid17HNaJTYplrRqnH69HfZd/QUE2IA2WaI8dqyP3r7VSQRIWwjiS6T4/PfZt/cKSbEALLNEOO1ZV97+1UQYFCIkBBiYell9j69xIQYQLYZYrz2ia+/8xpVRZcdgXGZ6ILjz3+HvdNLTIgBZJshxmvLXv7960QG1TckyEyQmD/xIntnlpgQA8g2Q9xdW/bKexdpfY8CMpNtEcH8Cy/x+MFFJsQAss0Q67dWvPzua2ATEUQmVT2jLnnm9IvsObjEhBhAthni7q0Vr777CzITBJlBtWI0So4tnWP3E4tMiAFkmyHWb6947aNLUMW2zCRTtGrMLZ5j9xOLTIgBZJsh1m+v+Ob7F9mxo2ObJEIQGcwc/ya7DiwyIQaQbYbYGK/65tWLjEYd2EQECUQGR46fYef+k0yIAWSbIe6NV3372htEBKNMhLCLquLphbPs3L/AhBhAthliY7zq8fVLBGJqxxTYVBXZBV975hvs3L/AhBhAthliY7ziux9fQgIELjM1tQMFTD/7Ajv3LTAhBpBthrh/91Pfu3GZqgJBlx19a0hi5sQZHtu/wIQYQLYZYmO86nvLvyQkWmtsMyDBU8fPsOvAIhNiANlmiI3xqtevX8Iu+lZMjUbYBomZE2fYdWCRCTGAbDPExnjV4xuXaVs9Oero+56+L7quY27pLLsPLDIhBpBthvj8zopvX7sEGBfY5iGJY0tn2XNwiQkxgGwzxL07K/7j1TfITDa3NslIkNjc2uS551/m8UNLTIgBZJsh7t9Z8c0PL9NXo8sRtmmtBwXPnj7HnoMLTIgBZJshWmvu+57/pOuSzI4JMYBs838w/yL+R38HE5iZ1dZqOmwAAAAASUVORK5CYII=\",\"boxArea\":\"78.15\"}]","mockupCreationType":"single","no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","material":null,"application":"Exterior","ul_mandatory":"Yes","paint_finish":"Gloss/Satin","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39"}},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: API Input Data Collected {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","sign_depth_or_thickness":"3","sign_type":"Open Face Neon Channel Letters","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39","material":null,"application":"Exterior","ul_mandatory":"Yes","paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null}},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Looking up SignType {"data":{"sign_type":"Open Face Neon Channel Letters"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Retrieved Material Formulas {"data":{"sign_type_id":19,"formulas_count":31},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Retrieved Variables List {"data":{"sign_type_id":19,"variables_count":14},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Price Map Constructed {"data":{"price_map":{"material501803":3.6821,"weight_material501803":0.629,"material501880":2.4107,"weight_material501880":0.503,"material501060":2.2179,"weight_material501060":0.378,"material500730":2.7786,"weight_material500730":1.481,"material500198":1.5893,"weight_material500198":0.588,"material501913":1.45,"weight_material501913":0.553,"material502468":0.3821,"weight_material502468":0.008,"material501842":0.7964,"weight_material501842":0.035,"material502204":15.2893,"weight_material502204":0.559,"material502203":25.32,"weight_material502203":0.739,"material502206":0.2786,"weight_material502206":0.054,"material166":2.3214,"weight_material166":0.28,"material167":5.1786,"weight_material167":0.38,"material168":12.0,"weight_material168":0.56,"material169":18.5714,"weight_material169":0.76,"material170":0.6071,"weight_material170":0.008,"material171":0.25,"weight_material171":0.008,"material500611":0.0062,"weight_material500611":6.2e-6,"material500214":0.0025,"weight_material500214":2.5e-6,"material501055":0.0155,"weight_material501055":1.55e-5,"material502098":0.0286,"weight_material502098":2.86e-5,"material502079":0.0163,"weight_material502079":1.63e-5,"material502350":0.0254,"weight_material502350":2.54e-5,"material501680":0.0076,"weight_material501680":7.6e-6,"material502131":0.0271,"weight_material502131":2.71e-5,"material502428":1.7679,"weight_material502428":0.021}},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Variables Price Constructed {"data":{"variables_price":{"variable126":0,"variable127":0,"variable128":0,"variable129":0,"variable130":0,"variable131":0.75,"variable132":1.1,"variable133":1.2,"variable134":1.2,"variable135":0,"variable136":0,"variable137":0,"variable138":0,"variable139":0}},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Final Variables Merged {"data":{"variables_count":178},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Initialized items collection {"data":{"count":0},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Merged material items {"data":{"formulas_count":31,"items_count_after_merge":31},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Merged variable items {"data":{"variables_count":14,"items_count_after_merge":45},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Sorted items collection {"data":{"items_count":45,"first_item":{"type":"material","id":397,"expression":"if(avg_char_height == avg_char_height_greater_than_24_inches, material501803 * nested_area * variable133, 0 )","dense_weight_expression":null,"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","var_name":"material501803","price":"3.6821","description":null,"sequence_no":1},"last_item":{"type":"variable","id":139,"expression":"totalCost * variable132 * variable134","dense_weight_expression":null,"name":"Total Cost","var_name":"variable139","price":null,"description":null,"sequence_no":45}},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Initializing MathExecutor {"data":{"variables_count":178},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: MathExecutor variables set {"data":{"variables_count":178},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","expression":"if(avg_char_height == avg_char_height_greater_than_24_inches, material501803 * nested_area * variable133, 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","expression":"if(avg_char_height == avg_char_height_less_than_24_inches, material501880 * nested_area * variable133, 0 )","result":"48.5707836"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","expression":"material501060 * variable133 * (  ( if(sign_depth_or_thickness >= 2.5, sign_depth_or_thickness, 3 ) / 12 ) * perimeter_of_sign )","result":36.8814591},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","expression":"nested_area * material500730 * variable133","result":55.983232799999996},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 22g Brushed Silver 4 ft x 8 ft Pakistan","expression":"0.75 / 12 * perimeter_of_sign * material500198 * variable133","result":6.607117424999999},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 5mm White 4 ft x 8 ft Pakistan","expression":"nested_area * material501913 * variable133","result":29.214599999999997},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"LED Module 0.4W UL Cool White 10000K China","expression":"if(application == application_interior, 0, nested_area * 10 * material502468 )","result":"64.15459"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"LED Strip UL Cool White China","expression":"if(application == application_interior, if(ul_mandatory == ul_mandatory_yes, ( material501842 / 3.2 ) * perimeter_of_sign, 0 ), 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 5A UL Certified IP68 Everylite China","expression":"if(application == application_interior && perimeter_of_sign / 3.2 <= 5, if(ul_mandatory == ul_mandatory_yes, material502204 , if(ul_mandatory == ul_mandatory_no, 0, 0 )  ), 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 5Amp. 60W UL Certified (Class-2) IP68 Everylite China","expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 5 && perimeter_of_sign / 3.2 <= 10, if(ul_mandatory == ul_mandatory_yes, material502203 , 0 ), 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 15A-10+5","expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 10 && perimeter_of_sign / 3.2 <= 15, if(ul_mandatory == ul_mandatory_yes, material502204 + material502203 , 0 ), 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 20A-(10A+10A)","expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 15 && perimeter_of_sign / 3.2 <= 1500, if(ul_mandatory == ul_mandatory_yes, material502203 * 2, 0 ), 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 5A UL Certified IP68 Everylite China","expression":"if(application == application_exterior && nested_area * 10 <= 70, material502204 , 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 5Amp. 60W UL Certified (Class-2) IP68 Everylite China","expression":"if(application == application_exterior && nested_area * 10 > 70 && nested_area * 10 <= 140, material502203 , 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 15A-10+5","expression":"if(application == application_exterior && nested_area * 10 > 140 && nested_area * 10 <= 210, material502204 + material502203 , 0 )","result":"40.6093"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 20A-(10A+10A)","expression":"if(application == application_exterior && nested_area * 10 > 210 && nested_area * 10 <= 21000, material502203 * 2, 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Wire 18g UL UL Certified Red & White China","expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no, 0, material502206 * 2.5 * no_of_letters )","result":"5.572"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Non UL 5A Power Supply","expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 <= 5, material166 , 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Non UL 10A Power Supply","expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 > 5 && perimeter_of_sign / 3.2 <= 10, material167 , 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Non UL 15A Power Supply","expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 > 10 && perimeter_of_sign / 3.2 <= 15, material168 , 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Non UL 20A Power Supply","expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 > 15 && perimeter_of_sign / 3.2 <= 1500, material169 , 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Non UL LED strip","expression":"if(application == application_interior, if(ul_mandatory == ul_mandatory_no, ( material170 / 3.2 ) * perimeter_of_sign, 0 ), 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Non UL Wire","expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no, material171 * 2.5 * no_of_letters, 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Primer Pakistan","expression":"(  ( occupied_area * 2 ) + (  (  ( if(sign_depth_or_thickness >= 2.5, sign_depth_or_thickness, 3 ) / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 * material500611","result":7.484823489},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Master Thinner Pakistan","expression":"(  ( occupied_area * 2 ) + (  (  ( if(sign_depth_or_thickness >= 2.5, sign_depth_or_thickness, 3 ) / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * material500214","result":0.59446911875},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Hardner Master Pakistan","expression":"(  ( occupied_area * 2 ) + (  (  ( if(sign_depth_or_thickness >= 2.5, sign_depth_or_thickness, 3 ) / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * material501055","result":5.670320825},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  (  ( if(sign_depth_or_thickness >= 2.5, sign_depth_or_thickness, 3 ) / 12 ) * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * material502098 , 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  (  ( if(sign_depth_or_thickness >= 2.5, sign_depth_or_thickness, 3 ) / 12 ) * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * material502079 , 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  (  ( if(sign_depth_or_thickness >= 2.5, sign_depth_or_thickness, 3 ) / 12 ) * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502350 , 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  (  ( if(sign_depth_or_thickness >= 2.5, sign_depth_or_thickness, 3 ) / 12 ) * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * material501680 , 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  (  ( if(sign_depth_or_thickness >= 2.5, sign_depth_or_thickness, 3 ) / 12 ) * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * material502098 )","result":"11.6538851"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  (  ( if(sign_depth_or_thickness >= 2.5, sign_depth_or_thickness, 3 ) / 12 ) * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502131 )","result":"5.65600035"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  (  ( if(sign_depth_or_thickness >= 2.5, sign_depth_or_thickness, 3 ) / 12 ) * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * material502350 )","result":"7.573137"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  (  ( if(sign_depth_or_thickness >= 2.5, sign_depth_or_thickness, 3 ) / 12 ) * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * material501680 )","result":"0.6042608"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Paint Miscellaneous cost","expression":"0.2 * ( formula416 + formula417 + formula418 + formula419 + formula420 + formula421 + formula422 + formula423 + formula424 + formula425 + formula426 )","result":7.84737933655},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Vinyl 3630-26 3M Pakistan","expression":"nested_area * material502428","result":29.683041},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Packaging/Box Making","expression":"variable131 * nested_area","result":12.5925},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: No formula, default result applied {"data":{"name":"Miscalleneous (10%)","dense_weight":0,"result":0},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: No formula, default result applied {"data":{"name":"Where Wastage magnification factor for Sheets consumption is taken as","dense_weight":0,"result":0},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: No formula, default result applied {"data":{"name":"Multipliction Factor as per face lit","dense_weight":0,"result":0},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Flush/Stud Mount","expression":"if(mounting_type == mounting_type_flush_stud_mounted, 1, 0 )","result":"1"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Standard Raceway (6x2)","expression":"if(mounting_type == mounting_type_standard_raceway_6x2, variable133 * (  ( material501803 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  ) + ( 2.7 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Flat Backer (2.5 mm)","expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, variable133 * (  ( material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2.7 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula executed successfully {"data":{"name":"Backerboard Cabinet (2\")","expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, variable133 * (  (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * material501803 / 144 ) + (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * 2.7 / 144 )  ), 0 )","result":"0"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Total Cost formula detected {"data":{"item_id":139},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Formula calculations completed {"data":{"total_items":45,"successful_calculations":44,"errors_count":0},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Summed initial totals {"data":{"totalCost_before_formula":377.9528999443,"totalDenseWeight_before_formula":0},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Total Cost formula executed {"data":{"formula":"totalCost * variable132 * variable134","computed_totalCost":498.897827926476},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Total Cost result added to calculationsResults {"data":{"variable_id":139,"result":498.897827926476,"dense_weight_expression":0},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Preparing boxes for bin packing {"data":{"sign_type":"Open Face Neon Channel Letters","objects_count":8,"totalDenseWeight":0},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: Processing flush stud mounted objects for 3D bin packing {"data":{"objects_count":8,"sign_depth":"3"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-1","width":23.84,"height":20.09,"depth":"3"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-2","width":35.89,"height":19.02,"depth":"3"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-3","width":16.34,"height":19.02,"depth":"3"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-4","width":17.41,"height":19.02,"depth":"3"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-5","width":19.29,"height":20.09,"depth":"3"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-6","width":8.57,"height":8.84,"depth":"3"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-7","width":8.3,"height":8.84,"depth":"3"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:06] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-8","width":8.84,"height":8.84,"depth":"3"},"timestamp":"2026-01-29 05:48:06"} 
[2026-01-29 05:48:07] local.INFO: 3D Bin Packing API response received {"data":{"response":{"response":{"id":"1769665687_9bba0877f0c7f647163fb74729210ca5","bins_packed":[{"bin_data":{"w":36.19,"h":20.39,"d":13.2,"id":"unique","used_space":84.6204,"weight":0,"gross_weight":0,"used_weight":100,"stack_height":20.39,"order_id":null},"image_complete":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/c147dbbe8fbd0667cbc47a1946802527/1769665687-1937-8104923.svg","items":[{"id":"item-2","w":36.19,"h":19.32,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/c147dbbe8fbd0667cbc47a1946802527/1769665687-193-9033490.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-1","w":24.14,"h":20.39,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/c147dbbe8fbd0667cbc47a1946802527/1769665687-1932-2884768.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-8","w":9.14,"h":9.14,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/c147dbbe8fbd0667cbc47a1946802527/1769665687-1933-1228198.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-5","w":19.59,"h":20.39,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/c147dbbe8fbd0667cbc47a1946802527/1769665687-1934-8854672.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-7","w":8.6,"h":9.14,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/c147dbbe8fbd0667cbc47a1946802527/1769665687-1934-3694386.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-6","w":8.87,"h":9.14,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/c147dbbe8fbd0667cbc47a1946802527/1769665687-1935-5994193.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-4","w":17.71,"h":19.32,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/c147dbbe8fbd0667cbc47a1946802527/1769665687-1935-1073596.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-3","w":16.64,"h":19.32,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/c147dbbe8fbd0667cbc47a1946802527/1769665687-1936-7549960.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}}]}],"errors":[],"status":1,"not_packed_items":[]}}},"timestamp":"2026-01-29 05:48:07"} 
[2026-01-29 05:48:07] local.INFO: Box added from packed bin {"data":{"length":13.2,"width":36.19,"height":20.39,"denseWeight":0},"timestamp":"2026-01-29 05:48:07"} 
[2026-01-29 05:48:07] local.INFO: Shipping rates calculated {"data":{"boxes":[{"size":{"length":15.2,"width":38.19,"height":22.64},"quantity":1,"denseWeight":1}],"cheapestShippingCost":430.33661249999994,"rawShippingRates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":15.2,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":43.5,"higherWeight":43.5,"quantity":1}],"totalHigherWeight":43.5,"DS":69.60000000000001,"rate":548.965,"tariffAndDS":618.565,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":997.2265814999998,"totalShipmentCostFormula":"((tariffAndDS (618.565) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 997.23","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":15.2,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":43.5,"higherWeight":43.5,"quantity":1}],"totalHigherWeight":43.5,"DS":69.60000000000001,"rate":312.6,"tariffAndDS":382.20000000000005,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":641.47362,"totalShipmentCostFormula":"((tariffAndDS (382.2) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 641.47","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":15.2,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":43.5,"higherWeight":43.5,"quantity":1}],"totalHigherWeight":43.5,"DS":43.5,"rate":421.42,"tariffAndDS":464.92,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":714.58204,"totalShipmentCostFormula":"(( tariffAndDS (464.92) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 714.58204","warnings":[]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":15.2,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":43.5,"higherWeight":43.5,"quantity":1}],"totalHigherWeight":43.5,"DS":69.60000000000001,"rate":"405.90","tariffAndDS":475.5,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":519.5,"totalShipmentCostFormula":"(((tariffAndDS (475.5) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 519.5","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":15.2,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":43.5,"higherWeight":43.5,"quantity":1}],"totalHigherWeight":43.5,"DS":0,"rate":268.90999999999997,"tariffAndDS":268.90999999999997,"fuelSurcharge":"0.3250","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":430.33661249999994,"totalShipmentCostFormula":"(((tariffAndDS (268.91) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3250)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 430.3366125","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":15.2,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":43.5,"higherWeight":43.5,"quantity":1}],"totalHigherWeight":43.5,"DS":0,"rate":885,"tariffAndDS":885,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":885,"totalShipmentCostFormula":"((tariffAndDS (885) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 885"}]}},"timestamp":"2026-01-29 05:48:07"} 
[2026-01-29 05:48:07] local.INFO: Product cost factor determined {"data":{"sign_type":"Open Face Neon Channel Letters","productCostFactor":1.66},"timestamp":"2026-01-29 05:48:07"} 
[2026-01-29 05:48:07] local.INFO: Final API Response {"data":{"sign_width":"120","sign_height":"32.39","sign_depth":"3","sign_type":"Open Face Neon Channel Letters","processed_sign_type":"Open Face Neon Channel Letters","sideViewImage":"https://api.signize.ai/mockups/flush-stud/flush-stud-open-face-neon-channel-letters.png","mounting_type":"Flush/Stud 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997.23","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":15.2,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":43.5,"higherWeight":43.5,"quantity":1}],"totalHigherWeight":43.5,"DS":69.60000000000001,"rate":312.6,"tariffAndDS":382.20000000000005,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":641.47362,"totalShipmentCostFormula":"((tariffAndDS (382.2) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 641.47","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":15.2,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":43.5,"higherWeight":43.5,"quantity":1}],"totalHigherWeight":43.5,"DS":43.5,"rate":421.42,"tariffAndDS":464.92,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":714.58204,"totalShipmentCostFormula":"(( tariffAndDS (464.92) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 714.58204","warnings":[]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":15.2,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":43.5,"higherWeight":43.5,"quantity":1}],"totalHigherWeight":43.5,"DS":69.60000000000001,"rate":"405.90","tariffAndDS":475.5,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":519.5,"totalShipmentCostFormula":"(((tariffAndDS (475.5) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 519.5","warnings":["DHL USA Not Available (Width exceeds 97 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(P565-554) 1L Nexa Pakistan","description":null,"sequence_no":28},{"material_id":421,"dense_weight_expression":0,"result":"0","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":29},{"material_id":422,"dense_weight_expression":0,"result":"0","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":30},{"material_id":423,"dense_weight_expression":0,"result":"11.6538851","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":31},{"material_id":424,"dense_weight_expression":0,"result":"5.65600035","sign_material":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","description":null,"sequence_no":32},{"material_id":425,"dense_weight_expression":0,"result":"7.573137","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":33},{"material_id":426,"dense_weight_expression":0,"result":"0.6042608","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":34},{"variable_id":130,"dense_weight_expression":0,"result":7.84737933655,"sign_material":"Paint Miscellaneous cost","description":null,"sequence_no":35},{"material_id":427,"dense_weight_expression":0,"result":29.683041,"sign_material":"Vinyl 3630-26 3M Pakistan","description":null,"sequence_no":36},{"variable_id":131,"dense_weight_expression":0,"result":12.5925,"sign_material":"Packaging/Box Making","description":null,"sequence_no":37},{"variable_id":132,"dense_weight_expression":0,"result":0,"sign_material":"Miscalleneous (10%)","description":null,"sequence_no":38},{"variable_id":133,"dense_weight_expression":0,"result":0,"sign_material":"Where Wastage magnification factor for Sheets consumption is taken as","description":null,"sequence_no":39},{"variable_id":134,"dense_weight_expression":0,"result":0,"sign_material":"Multipliction Factor as per face lit","description":null,"sequence_no":40},{"variable_id":135,"dense_weight_expression":0,"result":"1","sign_material":"Flush/Stud Mount","description":null,"sequence_no":41},{"variable_id":136,"dense_weight_expression":0,"result":"0","sign_material":"Standard Raceway (6x2)","description":null,"sequence_no":42},{"variable_id":137,"dense_weight_expression":0,"result":"0","sign_material":"Flat Backer (2.5 mm)","description":null,"sequence_no":43},{"variable_id":138,"dense_weight_expression":0,"result":"0","sign_material":"Backerboard Cabinet (2\")","description":null,"sequence_no":44},{"variable_id":139,"dense_weight_expression":0,"result":498.897827926476,"sign_material":"Total Cost","description":null,"sequence_no":45}],"productionError":[],"request":{"sign_width_or_height":"120","sign_depth_or_thickness":"3","sign_type":"Open Face Neon Channel Letters","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39","material":null,"application":"Exterior","ul_mandatory":"Yes","paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null},"TATDays":21,"testDenseWeight":0},"timestamp":"2026-01-29 05:48:07"} 
[2026-01-29 05:48:07] local.INFO: API Epic Craftings Calculation Ended ======================================================================================================== {"data":null,"timestamp":"2026-01-29 05:48:07"} 
[2026-01-29 05:48:09] local.INFO: API B2 Sign Calculation Started ======================================================================================================== {"data":null,"timestamp":"2026-01-29 05:48:09"} 
[2026-01-29 05:48:09] local.INFO: Incoming Request {"data":{"sign_type_name":"Open Face Neon Channel Letters","sign_depth":3,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","dimensions":[{"id":"54b92708-84c6-40c0-9167-7522be1bdfe3","height":20.09,"width":23.84},{"id":"0ba73cce-2559-412c-8cc1-12ec2c2c9d90","height":19.02,"width":35.89},{"id":"95fc0c99-29ca-4059-8f94-995b05cef82f","height":19.02,"width":16.34},{"id":"bc4941d0-7a39-424b-b38d-e48db3c85c89","height":19.02,"width":17.41},{"id":"4137a94e-4ffc-4593-aedf-ebba1ed750b8","height":20.09,"width":19.29},{"id":"2eb3827d-b708-478a-8802-3d6ae71d5d91","height":8.84,"width":8.57},{"id":"6e89b265-6cbb-4d2f-93c8-06aadf5141b2","height":8.84,"width":8.3},{"id":"3315ced1-ed83-41f8-9c81-33a3469e0023","height":8.84,"width":8.84}]},"timestamp":"2026-01-29 05:48:09"} 
[2026-01-29 05:48:09] local.INFO: Validating Request Payload {"data":[],"timestamp":"2026-01-29 05:48:09"} 
[2026-01-29 05:48:09] local.INFO: Request Validation Successful {"data":{"validated_data":{"sign_type_name":"Open Face Neon Channel Letters","sign_depth":3,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","dimensions":[{"id":"54b92708-84c6-40c0-9167-7522be1bdfe3","height":20.09,"width":23.84},{"id":"0ba73cce-2559-412c-8cc1-12ec2c2c9d90","height":19.02,"width":35.89},{"id":"95fc0c99-29ca-4059-8f94-995b05cef82f","height":19.02,"width":16.34},{"id":"bc4941d0-7a39-424b-b38d-e48db3c85c89","height":19.02,"width":17.41},{"id":"4137a94e-4ffc-4593-aedf-ebba1ed750b8","height":20.09,"width":19.29},{"id":"2eb3827d-b708-478a-8802-3d6ae71d5d91","height":8.84,"width":8.57},{"id":"6e89b265-6cbb-4d2f-93c8-06aadf5141b2","height":8.84,"width":8.3},{"id":"3315ced1-ed83-41f8-9c81-33a3469e0023","height":8.84,"width":8.84}]}},"timestamp":"2026-01-29 05:48:09"} 
[2026-01-29 05:48:09] local.INFO: Fetching Sign Type {"data":{"sign_type_name":"Open Face Neon Channel Letters"},"timestamp":"2026-01-29 05:48:09"} 
[2026-01-29 05:48:09] local.INFO: Sign Type Query Result {"data":{"found":true,"sign_type_id":19},"timestamp":"2026-01-29 05:48:09"} 
[2026-01-29 05:48:09] local.INFO: Checking B2 Module for Sign Type {"data":{"sign_type_id":19},"timestamp":"2026-01-29 05:48:09"} 
[2026-01-29 05:48:09] local.INFO: Sign Type B2 Module Result {"data":{"has_b2_module":false},"timestamp":"2026-01-29 05:48:09"} 
[2026-01-29 05:48:09] local.ERROR: Sign Type Without B2 Module Attempt {"data":{"sign_type_id":19},"timestamp":"2026-01-29 05:48:09"} 
[2026-01-29 05:48:09] local.INFO: USA Workshop Calculation API Started {"data":{"request":{"sign_type":"Open Face Neon Channel Letters","sign_depth":3,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","shipping_weight":43.5,"shape":"rectangular","dimensions":[{"id":"54b92708-84c6-40c0-9167-7522be1bdfe3","height":20.09,"width":23.84},{"id":"0ba73cce-2559-412c-8cc1-12ec2c2c9d90","height":19.02,"width":35.89},{"id":"95fc0c99-29ca-4059-8f94-995b05cef82f","height":19.02,"width":16.34},{"id":"bc4941d0-7a39-424b-b38d-e48db3c85c89","height":19.02,"width":17.41},{"id":"4137a94e-4ffc-4593-aedf-ebba1ed750b8","height":20.09,"width":19.29},{"id":"2eb3827d-b708-478a-8802-3d6ae71d5d91","height":8.84,"width":8.57},{"id":"6e89b265-6cbb-4d2f-93c8-06aadf5141b2","height":8.84,"width":8.3},{"id":"3315ced1-ed83-41f8-9c81-33a3469e0023","height":8.84,"width":8.84}]}},"timestamp":"2026-01-29 05:48:09"} 
[2026-01-29 05:48:10] local.INFO: Validation Passed {"data":[],"timestamp":"2026-01-29 05:48:10"} 
[2026-01-29 05:48:10] local.INFO: Input Parameters {"data":{"dimensions_count":8,"shape":"rectangular"},"timestamp":"2026-01-29 05:48:10"} 
[2026-01-29 05:48:10] local.INFO: Resolved Default Data {"data":{"sign_type_map":{"sign_type_halo_lit_letters":"Halo Lit Channel Letters","sign_type_face_lit_letters":"Premium Face-Lit Letters (Metallic Trim)","sign_type_face_and_halo_lit_letters":"Face & Halo Lit Channel Letters","sign_type_single_sided_lightbox":"Fabricated Lightbox - Single Sided","sign_type_double_sided_lightbox":"Fabricated Blade Sign -  Illuminated/Double Sided","sign_type_flat_cut_acrylic_letters":"Flat Cut Acrylic Letters","sign_type_flat_cut_aluminum_letters":"Flat Cut Aluminum Letters","sign_type_single_sided_push_through":"Fabricated Push Through - Single Sided","sign_type_fabricated_letters_non_lit":"Fabricated Channel Letters - Non Illuminated","sign_type_2d_blade_sign":"Flat Blade Sign","sign_type_3d_blade_sign":"Fabricated Blade Sign - Non Illuminated / Double Sided","sign_type_neon_sign":"Neon Sign","sign_type_marquee_channel_letters":"Marquee Channel Letters","sign_type_open_face_neon_channel_letters":"Open Face Neon Channel Letters","sign_type_mirror_infinity_channel_letters":"Mirror Infinity Channel Letters","sign_type_metal_on_acrylic":"Flat Cut Acrylic with Metal Pasting","sign_type_neon_acrylic_sign":"Neon Acrylic Sign","sign_type_double_sided_push_through_cabinet":"Double Sided Push Through Cabinet","sign_type_standard_face_lit_plastic_trim_letters":"Standard Face Lit Letters (Plastic Trim)","mounting_type_flush_stud_mounted":"Flush/Stud mounted","mounting_type_standard_raceway_6x2":"Standard Raceway","mounting_type_flat_backer_2_5_mm":"Flat Backer","mounting_type_backerboard_cabinet_2_inch":"Backerboard Cabinet","avg_char_height_less_than_24_inches":"Less than 24 inches","avg_char_height_greater_than_24_inches":"Greater than 24 inches","raceway_height_6":"6","raceway_height_8":"8","raceway_height_10":"10","raceway_height_12":"12","raceway_depth_2":"2","raceway_depth_3":"3","raceway_depth_4":"4","raceway_depth_5":"5","raceway_depth_6":"6","raceway_depth_7":"7","raceway_depth_8":"8","backboard_cabinet_depth_2":"2","backboard_cabinet_depth_3":"3","backboard_cabinet_depth_4":"4","backboard_cabinet_depth_5":"5","backboard_cabinet_depth_6":"6","backboard_cabinet_depth_7":"7","backboard_cabinet_depth_8":"8","material_aluminium":"Aluminium","material_stainless_steel":"Stainless Steel","application_exterior":"Exterior","application_interior":"Interior","ul_mandatory_yes":"Yes","ul_mandatory_no":"No","paint_finish_gloss_satin":"Gloss/Satin","paint_finish_matte":"Matte","neon_color_simple":"Simple","neon_color_rgb":"RGB","uv_printing_needed_yes":"Yes","uv_printing_needed_no":"No","trim_type_trimless":"Trimless","trim_type_with_trim":"With Trim","fabricated_finish_original_colors_matt":"Original Colors Matt","fabricated_finish_original_colors_gloss":"Original Colors Gloss","fabricated_finish_silver_mirror":"Silver Mirror","fabricated_finish_silver_brushed":"Silver Brushed","fabricated_finish_golden_mirror":"Golden Mirror","fabricated_finish_golden_brushed":"Golden Brushed","fabricated_finish_bronze_mirror":"Bronze Mirror","fabricated_finish_bronze_brushed":"Bronze Brushed","fabricated_finish_bronze_antique":"Bronze Antique","lightbox_type_light_box":"Lightbox","lightbox_type_cut_to_shape":"Cut to shape Lightbox","return_color_black":"Black","return_color_white":"White","return_color_blue":"Blue","return_color_brown":"Brown","return_color_yellow":"Yellow","return_color_teal":"Teal","return_color_orange":"Orange","return_color_golden_brushed":"Gold Brushed","return_color_match_logo":"Match Logo (Default)","shape_rectangular":"Rectangular","shape_cut_to_shape":"Cut to shape","shape_round":"Round"}},"timestamp":"2026-01-29 05:48:10"} 
[2026-01-29 05:48:10] local.INFO: Sign Type Lookup {"data":{"sign_type":"Open Face Neon Channel Letters","found":true,"sign_type_id":19},"timestamp":"2026-01-29 05:48:10"} 
[2026-01-29 05:48:10] local.INFO: USA Workshop Module Check {"data":{"sign_type_id":19,"has_module":false},"timestamp":"2026-01-29 05:48:10"} 
[2026-01-29 05:48:10] local.ERROR: USA Workshop Module Missing {"data":{"sign_type_id":19},"timestamp":"2026-01-29 05:48:10"} 
[2026-01-29 05:50:55] local.INFO: Image-to-Text API Request Received {"data":{"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_image":{"Illuminate\\Http\\UploadedFile":"C:\\xampp\\tmp\\phpBF14.tmp"}},"file_present":true},"timestamp":"2026-01-29 05:50:55"} 
[2026-01-29 05:50:55] local.INFO: Validation Passed {"data":{"sign_width_or_height":"120","user_input_dimension":"width"},"timestamp":"2026-01-29 05:50:55"} 
[2026-01-29 05:50:55] local.INFO: Prepared Query Parameter for Image-to-Text API {"data":{"query_param":"banner_width_ft","query_value":9.999996},"timestamp":"2026-01-29 05:50:55"} 
[2026-01-29 05:50:55] local.INFO: Calling Image-to-Text API {"data":{"file_name":"Screenshot 2025-10-28 100019.png","query_param":"banner_width_ft","query_value":9.999996,"file_size":37443},"timestamp":"2026-01-29 05:50:55"} 
[2026-01-29 05:50:55] local.INFO: Trying Image-to-Text server {"data":{"url":"https://edgebased.codeblue.agency/docs/process-image?banner_width_ft=9.999996","file":"Screenshot 2025-10-28 100019.png"},"timestamp":"2026-01-29 05:50:55"} 
[2026-01-29 05:50:56] local.ERROR: Server FAILED {"data":{"url":"https://edgebased.codeblue.agency/docs/process-image?banner_width_ft=9.999996","error":"Server responded but data invalid"},"timestamp":"2026-01-29 05:50:56"} 
[2026-01-29 05:50:56] local.INFO: Trying Image-to-Text server {"data":{"url":"http://imagetotext.marke-ter.online:8002/process-image?banner_width_ft=9.999996","file":"Screenshot 2025-10-28 100019.png"},"timestamp":"2026-01-29 05:50:56"} 
[2026-01-29 05:50:57] local.INFO: Server succeeded {"data":{"url":"http://imagetotext.marke-ter.online:8002/process-image?banner_width_ft=9.999996"},"timestamp":"2026-01-29 05:50:57"} 
[2026-01-29 05:50:57] local.INFO: Image-to-Text API Response 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\",\"scaled_width\":23.84,\"scaled_height\":20.09,\"exact_perimeter\":111.77,\"approximate_perimeter\":102.87,\"convex_hull_perimeter\":77.21,\"perimeter_pixels\":417.28,\"approximation_points\":12,\"original_contour_points\":119,\"shape_analysis\":{\"perimeter_to_area_ratio\":0.3665,\"compactness\":0.3068,\"aspect_ratio\":1.19}},{\"index\":1,\"position\":{\"x\":220,\"y\":42,\"width\":134,\"height\":71},\"actual_filled_area\":314.58,\"bounding_box_area\":682,\"image_base64\":\"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\"}}"},"timestamp":"2026-01-29 05:50:57"} 
[2026-01-29 05:50:57] local.INFO: Detected Objects from Image-to-Text API 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","scaled_width":23.84,"scaled_height":20.09,"exact_perimeter":111.77,"approximate_perimeter":102.87,"convex_hull_perimeter":77.21,"perimeter_pixels":417.28,"approximation_points":12,"original_contour_points":119,"shape_analysis":{"perimeter_to_area_ratio":0.3665,"compactness":0.3068,"aspect_ratio":1.19}},{"index":1,"position":{"x":220,"y":42,"width":134,"height":71},"actual_filled_area":314.58,"bounding_box_area":682,"image_base64":"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ytv3/dK4jomBnzYcDNcHeid2prZIpSC9EDM0OZtNbo0ckUa3fYnmN+4/fZe9+D2Ipx+xILl1z0VT7w9r/imquuJiKYzWYMw4C702pFISJGWmt4cSICEO6OJGotHHP8k9l34yNZMJPE1t5/4p/oS2efgZdCZmKAJEopRARmhhBLxQuSiAhKKWQmu+66Hcc982XstPPd2cL42dJVV17CB9/+Si677LtkT5wFAzPHLHF3JOFuSNzMzChuKJN9D7gHj3niy1kwk8T3Xf7d7+hNr/o9Uokk3AupAIGZYQYpMMDNiQzcncyklMJ0OuWJz/0Tdt9jP7Ywfj50zTWX8843/xFXXXk5q9qUniOSwKDWSvaODNyM2WxKHzu1FCI6WOFJv/tadtpld0wS3/e5D79Fn/nkySz13imlgEASPTqrV69mGEfcjOiBF8fMaK0x9pFfe/oL2O/AB7GF8fOlq674Dm97w/9gWJljBj06tTVqKfTecTeKG2DUWsgIMhN346jHPYED7n0sJomliM4bX/FMXXvtJjISDMydcZgzm83IFGPvlOKYOdE7mUktBQEPOOIIjjzmt9nCuGPQOWefysfe/Td4cTICM4dMpKSUgpnT+8hs1ZSITqmF1atWceiD/zP3OuxRmCSW/v3cr+jEv/nvtFKZD3NSYrZqhlK4O6UUNm/eTK0NEKUWhmGguLP9DtvyjBe8gdVrtmfBuGPRye96Fed+6Uxaa2QEQhQzJpPGfD5QW8Hd2XC3u7Lxvg9lw173ZzZbw5JJYukzH3qTPv2xD1FrQYJSCwgMiEgw/p+xj7RSEeDFOerYZ3L4gx/JFsYdi66+6mLe8dcvZmXzZqaTSu+BGXgx1qzehr03HsZB/+khrFt/D7ZiLJgklk583fN14QXnE5nUUpBERGBmuDtSkincnczE3RnHkd12W8czXvhGprMZC8Ydkz598t9y9mkfYzJpSGL9HhvYeOgR7Ln/Q1i1eg1bMbZikrjh+mv1l3/0JCTITFprzOdzvDhuRq2NzCQiMDMwo9VC78EvHftYDnvIE9nCuIO64rIL9IG//2P23Xgo+x/ycNbvsR9bMX4Ik8QF3zldb3/jX9B7J5W4Oa01IoLMwMyopTIfBkopgMgQk+mUpz//z1m3fk8WjDs2raxsZjZbxVaMH8Mkcebn36OPfuAkIoNaK+M44u64GbijFAb06GQmpThmzm7rN/CMF56AmbFg3AmZJD74jj/XGV/4HKUU3B13ZxxHlEmplVoq82HOkpmxZGY84BcfwcN/5dksGHdSJol3/u2Lde7Xv0FmIoG74cUZ5yOlFsyMzMTMMDMk4e485vHP4T6HH8mCcSdlkvjrP3uGrrj8ckqpjH2g1YYywVgwEAhRayUiaa0wHwae/V9fw66778OCcSdlmckr/+A49d7pvdMmjRiDUgqpxN0ZhoFVq1YxzAdSQa0VM+f3XvoPrF6zHQvGnZRtvukGvfLFvw4YpTgCMoPiBTPIFJmJmWMGmYm7s/0O2/O8//4W3AsLxp2UXXP1VXr9nz6djMAwSnXA8OKMw0gpzjAf8eJ4KaAkU+yy6+489w/fxIJxJ2aXXnqx3vyqZ7M0m83YvHkzrVWQIUREsBQRzGYz5sOcVhvrdtuD//Ki17Ng3InZJRdfpL9/zW8TGdTaiAjcnfl8TqYoteBmmDmlOPP5QGuVdev34LdedAILxp2YXX3VlTrh5U9HKcwNwxjHTq2FVKIU7s50MkHAMAxkJut228Bz//BNLBh3YnbD9Zv02j9+KhGdzKS1RmYCAhw3IzIwM5bcnMhgu+235Xdf8lZsgTsxi+h65YuPZ2XznFIcM8PMmA9zZtMZEUFEsFRKwd2JCCbTKS946VuZzmYsGHdSJonXvOSJum7TJswMDFptrKzMAQHGdDphHAeUQohJm4LBs/7g9ey08wYWjDspk8Tfvfa5uviCiwFhbkRPWitED7wUSnWiB713JFFrw915wrNexN33+QUWjDspk8QH3v5nOvP00yilYGZEBJIopdBaI6KTmbgXMG6WkRx7/K9z8OHHsWDcSZkkPnvKP+pfPnUyY++4G5lJpshMSilkJm0yQZmYGZmBEAduvA+Pf9rLWDD+PyCJzE4pjVvLJPGtcz6jfzrxBMZxREDxgjk3ix5UczAjlEwmjXEcaZNGtcpvv+TvWLV6WxaMO7hrrr6QL3zo9dzloEdr/3sdzmQyY8H4EUwSV195id7w8ufQo+OlULyQEbRJIzNwc4ZhQIjWGkpRzHB3Hv/U57D3gUewYNzBfecrH9Jpn3gPZsbatTtw4KH3Z9e9j2bV6jUsGD+ASUILJ/zpU7nu2k1EBu4FM5CEBO7GUmaiFKUUpMSA/Q/YyOOe8acsGHdgWvjEO/+IKy+7BEVi7mBGKY2Nhz+UvQ86klVrdmLB2IpJYukj//TnOuOL/0JEgIw2aZhxM0nUUunjiLtjZmQGBrQ64WkvfCk7rTuABeMO6uILvqHPvufVRHbcK8rEzBh6x9yYTifsedCDOeCQI1m743oWjAWTxNJXz/qM3v2Pr6WWgrkREbg7ZoZjuDsRgVK4GW0yIbNTauGgg+/FI3/1v7Fg3EF97v1/qQvP+xppwnDmKysIqK2iTDIFAq+Fe933EPY9+Di2X7ubmSSWNt+0Sa9/2TNZma9QSyWVjOPIZDqhlcrmzZtxd9yMUgqk8OpISSmVxz/jhdzt7vdjwbiDueyis/SJd72BcRzxUogIzJxMISUGRCSYgcTQO48+7nnsdeCDzCTxff/8jy/X2Wefjrvj7qQSS/DimBnFDC+GJNwdMyMymLYJ2+2wM8c/6xWsWrWGBeMOYhgGffykl3Dl5ZfSe8fMMHeQEE70kVobPTqlVCKSlWHgCc9+JTvvuhcmie/79jf/RSf9z7/A3TFAEpPayEwwUVsl+sh0MmU+zJlOZ4zjyGTSQOKA+9yXh//K8zEzFow7gLM+806d9cUPUUsjeqe2xjiOlFIYepBKzAylwIxhPjCdreZpL3ozbTLFJPF9fRx14ut/hyu+ezm1FpQCM6IPrNlmDfNhQJm0VjEckSiTjGA2m9IzOPKRj+We9z+eBePn7JJvfUEfe/8bUQoJzAwzYxgG0iBCeCkohVL03plMpuy5z7486gkvYcFMElvRN/7tJD74rveBGW6GuYhMkCilkBKtOG7OOA601lgSotWCGRx+1G9wyOFHs4Xxc/Dd876uj7//NfQ+ED2QRCLGntRakcRkMmFl80BmEhGYGZHJgx/+q9zviONYMJPE1m668Qad+NrnsbKymYhAEj06rTZabSSBIiheMDNKKUR2kGiTRmZSqnPfBzyagx/0eEopLBg/Q+d/+0x99oNvYj6f0yNYKu5EBOM4IpacDFGq416YDyNuhoDffO5LWbd+fxbMJHEL+uqZ7+TD734PjiETxY3oyXQ2YT4fmE0mQGLmZCaSmM4amaJWh0hKKdzl7gfxgEc+lW22X8eCcfvTl7/4KU7/5IlEBpiREoYhjIwgMnBzVlbmTGYzIoKUQCCJ3XffwK8/97W4Owtmkril+XxFbz3hd7jiu5dRW8MRk0nDzOi9U0slM6itIkQtBSxRJNM2wd3pPQAxnc64/yMey14HPoJSCgvG7eD666/WqR86iUvOO53eR9wrkhAiQ0QmXhwDMoWA7MnQR9wdN2M+dI5+7FM45IHHsmAsmCR+AF143hd474mvIyPw4rTaMGAcO1JiZtTmZCaTyQRI3JxJLYCxFBlIonhh7S7rOeB+j2Gf/Q+l1MaCcRuYz1f0tbNP5atfeB/XXnsdZoYklODFyUzGsbMkoNZKRpISYER0ljLEttttw1N+7wS22XYHFowFk8QPoY+977V86ytn0HvHi1PMqa0yjgNSYmZMZxOGlYFaCrUUpMSs4A6ZYjqbMI4jSxHBDmt3Yr/73J/d9zqYndbtg3sxfgpXXXmpLvrW5/nSFz/F9ddtYtImDEOn906plcxkHEdCotXGkiS+r/cOGLU2MjvIeMjRv8RhD3k6WxgLJokf5sYbN+ldb/x9Nl17DZmi1oI5uDtLvXdacwpO753WKpgT0XFzppMJMui9A8LNKbUwaRNW5nO2X7uWnTfsy64b9mDNdnuwerudWbNmR0qd4W4YZplJxFw3XHcVV15xEVdfdgFXXvxlrrj0clZW5pTSiAgkISUpo8cIOJIoteIGPRIkMoW7g4zMwEtlmM/ZcccdeOLz/4ptttmBBWMLk8SPoIsv/BqnnPRqVjZvZuwdzFg1m2IGfezUWiBFZlJqYexBdcfMaJNG9KC4Y+YYomcymTbGcSRTmEEplehBZmIGXiZMZo1xDKKPRA/mvdNqA4QE8/lArRXM6eNIZiIEOL13Wm0Mw0CphaWIAHPGsdPaBBCZAkTP5FHHPZtDDzuKLYwtTBI/hr56xsc59SP/QGZiZnhxanEsRakFpcgIvBQyk1IKkliSwAxSiZnRe6fWQi2VCJHZkYxxHJitWkX2jtyITMYxqLUiiXEcqaUy9mDVbBXzYSAykIyllDAgMzEzBCiSMTrVK+5OJkQEILqS4oXI4N6H3ptffsLLMDMWjK2YJG4FnXHq2/jXz38Ux3FE7yOrZjPG3imlkJmkRHXHzBGij51aC5LAjMwkM5itWk32TkqsjCOtVsydHsk4DEynU3rvSMIoZCZSgjmRgWQsFS+M0SluSGIcOwgwQxIZorVGZpCABHVSyUgiAwQ7rF3Lk3/n1Wy77Y5sYWzFJHFraOHzn3gHXz/jFLJ33MDMcHfMjFYrPYKIQJmYO25OKokIzAwBQrTaGHtHAnMnQiAQwjB6HzE3ammkkpTIhMxkSRJLkYkycXfcjAgoxYlMQkIpMMhM3B1JmATmyMR0MuU3nvNydt+wN1sYt2CSuJW0wFmnvo1//d8fpxUjIhHCMMy4We+dyaQRmZgZxQvK5KaVFVptyABBGkQPSq0MKyOSmE6nSMk4djDIFJJwd6xUIgIkIpNiTmaSCSJptZEpVl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05:50:57"} 
[2026-01-29 05:50:57] local.INFO: Nested area calculated {"data":{"nestedArea":2418.3108999999995},"timestamp":"2026-01-29 05:50:57"} 
[2026-01-29 05:50:57] local.INFO: Mapped objects from Image-to-Text API 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"},{"id":"7ba04a5c-1065-4e54-969d-665f3edb60f2","height":19.02,"width":35.89,"perimeter":134.83,"area":314.58,"image":"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"},{"id":"15e939d3-2c71-4b6b-a89b-3a21c1af11e6","height":19.02,"width":17.41,"perimeter":116.35,"area":210.61,"image":"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"},{"id":"39e4a5a8-8364-42cb-939a-8d9aeb36a89a","height":20.09,"width":19.29,"perimeter":102.66,"area":183.57,"image":"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"},{"id":"d3b212bf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05:50:57"} 
[2026-01-29 05:50:57] local.INFO: Number of letters detected {"data":{"noOfLetters":8},"timestamp":"2026-01-29 05:50:57"} 
[2026-01-29 05:50:57] local.INFO: Perimeter calculated {"data":{"exactPerimeterSum":665.1099999999999,"perimeter_in_feet":55.43},"timestamp":"2026-01-29 05:50:57"} 
[2026-01-29 05:50:57] local.INFO: Actual filled area sum calculated {"data":{"actualFilledAreas":[305.0,314.58,116.3,210.61,183.57,54.03,41.72,31.5],"actualFilledAreaSum":1257.31},"timestamp":"2026-01-29 05:50:57"} 
[2026-01-29 05:50:57] local.INFO: Occupied area calculated {"data":{"conversionFactor":0.00694444,"occupiedArea":8.73},"timestamp":"2026-01-29 05:50:57"} 
[2026-01-29 05:50:57] local.INFO: Average character height calculated {"data":{"avgCharHeight":15.47},"timestamp":"2026-01-29 05:50:57"} 
[2026-01-29 05:50:57] local.INFO: Original image dimensions and ratio {"data":{"originalWidth":452,"originalHeight":122,"ratio":3.7049180327868854},"timestamp":"2026-01-29 05:50:57"} 
[2026-01-29 05:50:57] local.INFO: Calculated sign dimensions {"data":{"widthOfSign":"120","otherDimensionOfSign":32.39},"timestamp":"2026-01-29 05:50:57"} 
[2026-01-29 05:50:57] local.INFO: Image to Text processing completed 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","scaled_width":23.84,"scaled_height":20.09,"exact_perimeter":111.77,"approximate_perimeter":102.87,"convex_hull_perimeter":77.21,"perimeter_pixels":417.28,"approximation_points":12,"original_contour_points":119,"shape_analysis":{"perimeter_to_area_ratio":0.3665,"compactness":0.3068,"aspect_ratio":1.19}},{"index":1,"position":{"x":220,"y":42,"width":134,"height":71},"actual_filled_area":314.58,"bounding_box_area":682,"image_base64":"iVBORw0KGgoAAAANSUhEUgAAAIYAAABHCAYAAADCzT+AAAAgAElEQVR4AezBCbylV1Xg7f9aa+/3PaeqYoAGgorAvXARFJFBRZupDS2DAzYfYANJCGGKhBCIaMtnQ6sgCAmjUhWgkSEhSSUQJpEMJAabQZBKBUSqgoIoCgItYUjVvefdw1p9DkNr82tbhgSphOeRv953Hv/j4neGmBEeiAi9N1bMEqZC98DMcHdW7n3/x3PETW8ufNf/4XNXfpY/OueU6L2TLFF7RRG+RITeO5YMPBAR3J3eO4iQzPiq//Bzj+Zma7dhSfg3Ivv27OS8sy+J1hoiikdnZRxGeu9074gIOWcIqLXy8Cecytr6hvBd/4f/ceGr408uehO9dxAwNVSVUgqqiohiptRaIaD1xmw2o7UGEdTeMVV+8IfvyFHHP50l4d+I7LtsZ5x35iW4O6JCRODujMNIbRVEUBFWpmli5ZEnv4C19Q2WhO/6kq2DV8Vpzz6eg5sLai2IKCklenfMBPdAVRFRvHfUlFoLKSVyHpimiYhgHGeUOnH8k07lJjfbYEn4NyD79+6K3a++ABXBCQhQVUSEICCglEpKRnggKhx70nNZW99gSfiuL3nXpefFxW8+g5SMMhUsZSIcVcNMab1BQOsdM4UAVWUlIvDuWE7gjkdw+zvdnQcc82SWhH8Dsu99O2P3ay6AAFUFBBForaGq5JRpvePRSZpQEx72uGeztr7BkvBd1DrFzmc9his/+zlUFFFBROi9Q4CoIALugbujpiRLtNbIeaD3hogQ4bg7loycBk749edz+A1uypLwbSb7L9sV5519MbVWzBIRQffOiqkhIpgZpVZarQzjwDGPP4W19Q2WhO9i73vfHm8++wWICMkSrTW6O6pC7x1RgYCcMxEgAhFBaw1VJaVE706E4x6kbCQ1fuwnfoZ7P/h4loRvM9m3Z2ec+5qLUFW6d0QU7w0RRVWJCGazEfdgc3MTEeG4Jz2ftfUNloTrOHePl516Ip/8xN8DQQDeOmnI4EH3jiUjWSbCiQgiAoQlISJIaogK3TsEWEpEOCllTnrqLrbv+HcsCd9G8qH3vTjOPeNCUk4sFhPJDESJcEQEEaG3jpoiKkjAMU84lbX1DZaE67gr9r4ndp/+LEQUQejeERFSMrw7tTdUFA9HRRAEUWUlImitkSwTBGZKbZVxGGmtIxLc9+cexF3+4zEsCd9Gsv/y02L3K8/HkjFNBQgQSJYAQUTovSEiuDtmyrEnPY+19Q2WhOu403c+Jf7qig8Bgari7uQh492JCATBktF7x8yotZJTJgTCnZQyEUHrjXAn54FWK46jqhx++PV43FNOYzbbxpLwbSJXXH5anHfWJfTeaa0hIozjSCkFRIBARSmloCq4B4980gtYu+UGS8J12Cc+vjde8XvPpNZCskREYGrUWhBRRITuHTMDBPeOiDAMmcU0YWqYGf8kEBFKqVgy3B1FeMhxD+fWt///WBK+TeRD73txnHPGhYgI4Y6lhIjSWiWCpSDnTC2FPGTC4ZgnnMLa+gZLwnXY7j/47fjrD/8FvXcinFoqeRzx3kFARKilMp/P8e50b4CwknOm9457BxGGlOm907yRLKGmREDvjSOO+F4e/eQXk1JiSfg2kH17dsbu0y/AvWOWCIfA6b2Tc6a1RkqZCMd7R0w57onPZ219gyXhOuozn/pwvPS5v0GZCjkl3B0R6O4IgiUFhNYaEUEeMrUWZuOcWguqxkopE8MwEATZMq03hjzQWkVViQhWHvKo47nlbe/DkvBtIPv27Izdp19ABKgKRNAjUBFSSvTeUVNMjYhg5agTns3a+gZLwnXUW844JS7b+24iguhOSglVZWoFAnLORAQpJWqr9NoRIA2Z3hqIkJJRWwUHFFQUVaX1RhJlHGfUUogIbnXrNX7p+OehqiwJ1zC5Yu9pcdar3kpE4O6kZPTupJTpvRMRRHRSSqSUaK1z7EnPZW19gyXhOuiz//jJeMkpT6ROE6VWLCXMDCIQESKCiGA2G5mmwpcFwzDQWqP3jqpCsBSYJdw7lhPhQUQQrZOHDB6oGe6dhx3/G9x848dYEq5hsv+ynbH79AtRVVYWiwWmRkqGqOAehAdiAhFEwCOe+DzW1jdYEq6D3nnhi+Pi8y9CVXF3RAT3ICIYhoFhGLjqqqswM1JO9FrRZJgZtVTcHRFhPszw6OAQBNM0YWYMw4AoS0HvHUuJ3hq3/9Ef4uePeRZLwjVM9u3ZGee+5iJKKcznc3rvRASiQnhAgJoCQUqZgwc3efSTX8ja+gZLwnXMF75wZbzslBOZpgUBeHdSSvTeASElo7XKiogQEXTvHHHEERx2/e+lN2elLb7Apz7590hAdyciMDPGcaTWipkhGrg7qoq7Yynx0OOfyU1vvsGScA2S/Xt3xTmnX0htFRVjNhtxd1prpJTovTObjUxTQVgS5ejHP5u19Q2WhOuYy9/1injrG99K7x0PZ8gDvXU8OqKCoIiAqNBqIzwYxoGjHv1Ebn7ru/NVV/7Pv+aVL3wqZVoQARHOMAxYMnprdA9EQAA1wT0QEe58lztz5H96CkvCNUj2vW9nnH36BagKvTVQIVnCPVAVVgShe0dVMEscdcKzWVvfYEm4Dtna2oz/furj+NznvwAR1FrJKYNA784wZGqtpJQwM1QVd+d7v+/7eMQTX4SI8M/90bmn8P73vovZfMbW1hbjMNJaZdu27WxtbaGquDspJSBQESKChz/xhdzoiO9nSbiGyP49u+Ks09+KWcJbZ8XDGceRMhVElYhAVfDuqBnHnnQqa+sbLAnXIZf/2RvjjWe+gpUIR0RYGYYBdycicHdSSogKpkYphQce9QR++M734mt94m8+wKtf/JuklIlwIgIRofXGkDM5JTyc6M4wDtRS6b1zl7vel3vc/7EsCdcQ2b93V7z2NW+j985sNqPWSu8dENw7KSUinAhwdyKcR578QtbWN1gSriNaq/Hy5z6WK688gHun946ZsVgsGGcjK96dbEYeRkqZMDWud/3r8+hf/X1SHvlaEcEbXvlf+dhHPoolY7HYYhgGWq2M40BrjZQSgqAKvXc8ICXj2JN/j+85/EYsCdcA2XfZzjjn9AsRBDMDgjwMlFIwNbp3RITaGiaKiHD0ic9hbX2DJeE64gOXvT3OO/15mCo5ZUopzOYzWm/gYMkopbBjPmeaCkigohx5v2P5iSPvz7/kwx98B3+4+8VIBL1VhiGjqvTuRAQezmw24t6JCIZhoPfGj93tF/nJez2UJeEaIPv27IyzX30+Zoa7s2KqtN7JKbNSa8E96N6Yb9vGMY8/hbX1DZaE64BY2v2SX+NvP/5xylSYzWZM00Tvnfl8jrtTayGlDD1QE0xB1DjhqS9j27bD+Ze0VnntS5/MJ/7uE+ScMVOGYeDAgYPknFATVlSVFTPDVJjNZzzwMacwm38PS8LVTPbvPS3OftVbCQI8EFMEofXGyjAMhAfuTs4JQXnYCb/L2voGS8J1wEc+fFm89hXPJqeMh1OmCY9AREgpoQHhjprh3rFkiMDd7vXT/OS9Hse/Zs8738I7zj8DCLo3tm2b01vDUqK3RkoJFUEl6B6EOzt27OB2d30wd/zJ+7AkXM1k356d8bqzLibC6e6YGiklPIIyLVBL5JRotSKmeHeOPem5rK1vsCRcB7z2lb8VV/z55SRLmBkRQamVIWdaa4zjiLvTu4M4Q06AcNzJz+MGN7op/5rF4ipe88IncODgQRTBVJltm7O1WGBm5GRE70QEIsKKirLj8MN5wGNOZRhmLAlXI9n3vp2x+4wLEBXGYWRzawsREARVpfVGThkISqkEwaN/5UWsrW+wJFzLfeoT++LMXb9D751WCzkPREDQEaCHY6KoKb13WmvM53N+5A534mce9F/4eu15x1nsfdeFeKsoQgi03hlSQgQI0GQoAgHuHXfnbj/3SG5zh3uxJFyNZN9lO+PsV5+PqTEMAyJCa42VUgoiwkrOGVOltsYxJ57C2voGS8K13JvPfF5c8YH3EAhCoGYgQZkmLBnjONK9IwitVSIEVeFhJzyd7/+B2/L1OvDFT3Purqfg0ahTxZIxm80o0wQKKSVUFFFBEXrvjLOR7d9zQ+539G9hllgSriayb8/OeN1ZFyMiTKUw5Iyo4N1REVDBe6f3TkoJEeGoE57D2voGS8K12JX/+DfxklN+hWyGIFgyVkqpDDlT6gQIKSU8HBEggpvd4nb80mN/i2/U+y46jY/u/wAHDh4EAjNjGAcEIcIhQBSSJRaLBdvmczzgHr9wFDe5xd1YEq4msm/Pzjjn9AtBgt6drzIzVJXwwMzwcLx3AnjESc9j7ZYbLAnXYpe85SWx5x0X495ZiQhyTtTaGIaMiCAC7o6qQQS1Nf7zY07mFre6O9+oz3zqY7z19KcjIrh3UkpEOMMwEOGoCtNiYjab0XvQW8Fy5gY3vhX3fsh/QURYEq4Gsm/Pzjjr1W8lWyLlTO+d3jsqSqkFs0Trlfk4JwhKKTzy5Bewtr7BknAt9cUvfDr+4NSTiXBab6wEkMyAIJnRWsU9EIFhGGitcsMbHcFRT3gRZolvxrvfciofev/7GcYMEYzjSG2VpIYlxT1QTSwWW4jCkDOqxpEPeiz/7iZ3Ykm4Gsj+vbti96vPR9RIatRWiXBUDFVlmibykPkSAXfnESc9j7X1DZaEa6l3XvAH8advPx9VxcOJAFFBAgInp4R3ZxxHai2IKjkbR/7CUdzmDj/LN+vvPvJBLn3D87EkqCgBiICKMI4Di8VEKZWcB3IyQhxB+IFb3pa73PdJLAlXA9m3Z2ecd/YlRDi9O2qGilBrxcxQVVpvCIKqQsDRJz6HtfUNloRroc2DX4yXP/fxtFIptZCSomK4O0GQzVAV/kkgKhx++GE8+JdfyHy+nW9WRHDhmU/l85/9DN07pgqqtFpQVWazkVo74zCwmBaYKckS7s69HvyrXO9Gt2JJ+BbJ/st2xe7TL6D1hoqioqgpqkq4A0L3Dghmiohy1Am/y9r6BkvCtdAH33N2XPCm15NzIiJoraIqiBgi0Gtnx445Hk7OiVobK3e+689ylyOP4lv10Sv+hPdddAZmirsTEYgIBIgJJgkzpbeGdyfnjJqy9oO34UfueSJLwrdI9u/ZFWeffj5mhntgppRSWEk5YWa02hjHkd47EcHRj38Oa+sbLAnXMtM0xatf9Ct87rOfxExJmlgRFVQFESHnTG+V1hsB5JQ5bMd2fvGRz+B7Dj+Cb1WtExef/TQWmwfwcGqtEDAOA603VIVt27azeXATM0NEEAV3uOcD/xvXv+ERLAnfAtl/2c543VmXUGtFVXHvqBjDONB6o7eOqpJSIiIotfKIk57L2voGS8K1zEc/9Oa44PWvpUwTgpCy0VplxcwQIIBsRjJla3OL+bY5t7zdXfnp+/8yV5e/fP+b+eC734qH4+6oKitqinjQeyPnAfcgIvBwBOF2P34XbnOXR7EkfAtk396dcd5rLib4J713hmGg984/N5WCAI88+QWsrW+wJFyL9NbizN8/mc9//rPUUpjPR1pvrLg7qspKMmUcBlqtfNUDH/ub3PCIH+TqcvDA57norKfSSsHDiQh678xmM7x1RCCC/83dWZnPZxz50Gex47DDWRK+SbJ/7644+1XnIyJAAIKqsuIRmCrTNJGSISKIKMeceApr6xssCdciH/mLd8YbX/MC1IRhHFhREUopzOZzeiuIB6LCkAciAkvKLW69zk//p9/k6rbvPa9g/2Xvxd2xZLTaSDmjIiwWC8yMnDMRwWKxIKVESok7/NR9WbvDL7IkfJNk356dce5rLiI8UFNAgKDWSkpGShlBKHVCRDEzjjrh2aytb7AkXEvE0vln/lc+9td/SykTOWdMlfAAASJIyeitISqoKJaM2Thyt/v/Mje/5Z25un3uM//Apa/7bdwdVUVEKKUQBDkPuDsiUGph23wblhJXHbiKw3Ycxn2OfjbDuI0l4Zsg+y/bFeedfQmlTFjKuDvhjoigqgggqrg7pUzkPPDwJ5zK2voGS8K1xN9+9INx/tnPQYQvEQT3jogwG0e8OyFB751hGBBAVbj+DW7I/R7+u6gq14QPXPpiPvaX+xGBxTSRzCi1knPGzHAPRAIVIwhKmRjGkfU7Pogf/fEjWRK+CbLvfTvjnNdcSEqJ1hoiintHRBARRCBZJiSYtiYQOO5Jz2dtfYMl4Vri0tc/I/5q34cRAVWltcY4DPRwVJRaKykZKWdUFTwQ4Kfu8zDWb3ck15QrP7OfPz7vhbTSUFMiIMIREVSViGAYBjY3txCBcRxZbC24wY1uyM885FlYyiwJ3yDZt2dn7D79AoYhs7m5RUoJRBC+TFVozVEVVJWVY048hbX1DZaEa4FP/v3H4s2vehrhHe+N+bbteO+oKuM4Mk0TgWNmuDsmighf8qN3ugPDDiGCpWAlp0yE4+4EgajgrWMp4RGYKhEsBRDg4BGsRAQpJdw7akav8KHLP0gpFVUhQhmGzDQtGHJma7HAkjEMI5sHD5JzRtWYz+b80N0ezK1ue3eWhG+Q7N97Wpxz+vmA0Hon3FFVVAQ1JRxab6gZ3jsiwnFPej5r6xssCdcCf3rh78W+yy8johMRDDmjZmxtbTGOI7VWhiGTUmKaJpIlkgorKWemacK9k3Om984wjnh33B2nk1PCzCBgURaMw0hE0N3ZNp9Ta6XWCgHjfMbBgwdJouScaa1hOeHumBmlVJJlFosFaoogmBkRQYSDKK1WxnHk8BvciHs/7BmoKkvCN0D2X74rXn/WH9O702pFVRjHGVOdIEBVMDUObh0kpwF357gnPZ+19Q2WhEPclZ/9h3jzy3+DwFERBEFNERG2trYwNcbZSCmFcRypdQICEWU+n1NrxaOTckKA2XzGVV+8ClXFVPFwRJQVdwcRhpyptaJqIEAEqkp4oKZM08Q4jJRSWEk5UWuDEESFaVEYcsYjiHCGYWCxmBiGgdoarTbGcWSxmLj3Q5/ED6zdmSXhGyD79rw4znrV+agqgiAqiAi1NVQEdyfnTOuNZImVY048hbX1DZaEQ9y7Lzwj9l9+ESLCkAbMlN47lowyFSIcVcFSppaKEOScmWph23xOEKgorXe8d8ZZRkXo7iAQPUhDxnunuxMeILBtPmMxTbTaEFVMFRGht04aMtEDEaHWhopSW2UlD5lpURhnA4utgqqCgITg7pgZCExlwnLi+2/+w/zMg3+NJeEbIPv27Izdp19I90ZOmYiAgNYbOSfcAzNjpfeOiHLsSaeytr7BknAI2zx4Zbzh5U+hThOK0ryS0kCphXEYiO4ggaowm88QEUqZyMNAr40VD8fUaL2Tc6bWgqqRc2ZaLFgRVcZx4KovXsVhhx3GYrFAU8JEOXhwk2EYCIKcMu6OmVJKJedMKYWIABRVpbeGmjKfz1gsChGBmrK5uUX3zmw2Y6XWBgTjMOPeDz2JI77v9iwJXyfZt2dnnHPGhbgHK2ZKhGNmgNC9IwhmhghEwFEnPJu19Q2WhEPY+97xlviLd7+W1iopZySg1IKKklJiGBIiwoqoIEAeBspUqK2SU8bMKKWgpuSUOXjgAJqU2XyEAEvGYmuL1joqhlmmtYKg5DFTpoKq0lsn5UREAEJtlZwHeutEBGpGbZUv8cCjY5ZJyRA1Dhw4gIiQzCAgBGqp5JxZv+0dOfIBv8KS8HWS/Xt3xdmvOh8Rwd0REdw7OWda70gIvXfykDFVguDox5/C2voGS8IhqpSD8fqX/RoHr/oiZomIQAREhN4d3JnNR9ydlBIRQUqJiCAiKKUQEcxmM7o7AkQE3jvdnZSN+XwbW1tbEEHvndk4o/ZGqw0VQc2otTLkkalM5JzprWPJWEwTljK9N3LOlFKIAPdOSolWGmpGzplSCt07yTIeTusNIggRTBKqyoOPfzo3uNEaS8LXQfbt2RmvPfNtqCqtNSKcCFARRAURgQAxITwQFY4+4RTW1jdYEg5R+/eeH3928TmoKqpKaw1RYSXCqaWwffs2Smlsm8+orWFmpJRZLLZIyejdab0zG0dWaqsQICIIIGZEBL05ZkqtlZSMWhoI5HGg1Yqo4b1TSiE8MEtoMiwZW5sHSWmg1oaZUqfCfPs2am301jAzPCAI3ANEiHBUjd4dd4eAO931P3D3+z6OJeHrIPv27IxzzriQlYgAgggYhoxH4L1jZqgqQdBq49iTnsva+q1ZEg5BrZX4o1c/jc/946fIOaOibG5tYqYMOVF6QxFmsxmCUGrB3fEepJyYponZOMejIyJEgKri3lksJmbjiIeTc6a1Rncnp4yI4OH03imlMJvPaa1Ra2U2G2nVUVUW04KcEiu9ddwDS0ZE0HvHUmZRFhCCpUQtjSCYzWa0VqmlYinh3dncWrBjxw7MlKNPegHXu/6NWRL+FbJv787Y/arzGYYBM6O3TmsNFHrvqCgezmycERH03jnmxFNZW99gSTgE/c2HL453/OFZhAfjfGSxtYAAS0LOme4OASIgKoQHgjKVwmw2Eh5oMspUaK2RUmKl904QzIYZpRTUlHHMTGVCUHoPkKDUirtDBHkYaa2RkuHdsZw5uLnFkIzuzjiMlGkiVBiHgalUIoTFYgs1w8SIgIhAVSmloiaYGt2DWgqWMxHBPe79M/z4PR/NkvCvkP17d8W5Z1xIRDAMA7133B0VRVSotWJmCIKI0L1zzImnsra+wZJwiHH3eOtrfpsrP/1xVJWcMotpQc6ZlBR356u6d3pzAkElcA9SMlQVUHrviAitNUwVNUNVCQ+2FlsMwwAq9N4RhGmaSDkDgvcOEuQ8UEtFRIgIRJWtaUJFEDUinAhQVdwD743FopJzRkQRCUAQUVYObh5ERBiGgdYdAjycZImUBx75qzvZseMwloT/B9m3d2ecd+bFeDjhQTJDVGm1kXNCVem1oaqICKrKgx/7O9xifYMl4RDz6Y//abztdX8ABGaGd8fDISBno/cOEQQgKkylYpYYUqaUgnfHsuHujMNAax2PjqhQW+f6h1+fL171BcKh9c6O7duprbF58CA5DwgQEYDg4Qx5YHOxharQuiNq1FpJKREeiCrhTmtORDAMAxEgAq013B1Vo3dHRCi1YMmotUMEwziACNPWAk3Gzz/wwdzuJx7CkvD/IFdcflqcc/oFRAQigkSQLKGqRICKEAREICqIKA9+7O9wi/UNloRDzKWvf3p84mN/i7szjiMHDhxgNs7QpBBQW6W3xpBHAscssZgWeDhmGVGopbJjxw6mxYSZMpVCskQQ4FBbQ1URAXdHRBERWmtEBBHBSoiyWCwYZzMQCHfMEikltjYXuAfuDgQRgVmi1oZaIghEhNYbpoapMpVCAK1VhjzwZYKIQcA0TdzwRjfkuCf/PuM4Y0n4F8j+y3bFa8+8CBFBRFCEVipqipmhJnRvzIYZHs7KAx/1O9xifYMl4RDyP/9hX1xy7guptdF7J+VE9KB7ZxxHWmv03kkpsZgW5JxJmphtm/Hj93k43YUIEBXCg4hARFhRFdyDrxIB74GIEAIEUAIZhXAQhZiCiIAGkgQUcCALtIAkIEFMQAcUcEDAtgd//KZX8LkrP0+EsxIh9N6AwNQQMRaLidlshnsjRAjg5x74GG7/E/dmSfgXyP69u+L1Z19Cbx01BXdMjXEcabXh3tCkmBm1d7w1Hvq4U7jF+gZLwiHkz85/flzxFx9EELp3LBnhwWw2Y2tri4jACWazGYutBarCym1//Eju8tPH8p1m77vfwNvecCZBoKq07hAdRBFARKm1kZKBCLU1PJzv/74b88gnvxQzY0n4v5Ar9p4Wbzj7EkRYEojAu5OGjBBEBB4dM6XUhgAPfdwp3GJ9gyXhEPGZT308Lt79TBZbm4yzGa03SinklBARamv07oAw5MQ0TeScQZQHPvZZXO8G389XCN8ZYvPg59j5jMcxTQvcO6qGJONLAlpvrIgKguDuiAjhwQOOfQq3v+NPsST8X8iHLz8tXnv6hYgIEKgKloyIINzJQ2aaCqrKMCREjQc+8rf5gZtvsCQcGuLyS1/EZX+6BzNFVUAgAjyccEdQSqmIKq1V5rM5rTVu86O35x6/8Ot8hfCdJd71Ry/n0ovfggiIKk6gZkQPWm8kS6gpK6UUVA3vnZuv35JHnPR8vkL4GvLhy0+LN+2+lO6dnDMQRDi1VnJOpJwZcmbz4CZBMAyZO/zkXbjB4duhARroTOmf7uiNFVFBHNwdTIgIRAQREBH6VR3drogAFXQQujs5J1rrCEJKRmudlA0CWm9EgJnSu6MqiAgigojSWwMRVIXwAAERwbsTBLUk9rz9T+jeMFFQQQQigvDAw3EPcs707tRaMVMC4eeP/v+56S1ux5LwHejKz/5dvPiZT2AYBkSEgwcPknOm9caQB1LKRDibm1sMw4C703uHgGNPfDrrt74DS8LXkA9fvive8ro/oZYKKgjg7pgZZkYQ5GQIwoGDBxhSxlKit4aZERFAAIKZoQZEIKYQASLUUklJEcDM8NZZsWREgJqAQ2sNVSOnhCUjJePAgQOknOm9kXPG3VmZjSOBkMy46sBVzOdzSpkYxxmlFAjBTKmtU0vhsB2Hsbm1RWuFcTbDu5NSotQCCLU2ZuMIAhFBbY0b3uRm/NJjn8NXCN+Z4sI3nsJl7/4zWmsIgqXENC1QMwRorTEMI2ZGb43unZQSP/hDd+BBxz2NJeFryBV7d8Ybzr6YYRiotaCagGBFRFARILCktNog+N/GccDMKHUipcQ0TagqIsI4GyEcEWGxWLBt2za8NQiIcCJgGEc2tzYxM0wUEcHdGcYBAsIDERAR1IzWGtmMqRTG2YiasFhM5DzQe6eWwjiO1FaZz7cxLSZaa+Scqa1illhMC2azOaVMIEKrjWSGqtHd6e4Mw0Brjfsf/Shudsv/yFcI36E++Xf74r8/7zdorTGMA61VUsq01oAg50yrDVUDgQ9rd3YAAAhrSURBVIjALBERPPqkZ/K9N78NS8I/I3/5/pfE68+6iHEc2draYsVUsZSAQEUgnBVVYyUiSCmRB8PdmaaJnDO9d1QERBARVMHMwB1BMDM8AiLovSNAypneGyCYGR6B946ZUltnyBl3R0SotaGm9N5QVVSFlZwHWm2ICrVWBMEjqLUyG2fknJmmBYigpngE0zRBCMM44u64O601iCDlzI7DvodjTtpJypkl4TtbnPeqX+fyyz7EkBOmhiVjc3OLnBIeDgF4sBKAmLJy+x+7Jw846mSWhH9GPvLnL4s3nXMx7h1BCHdUlSAwTUQ4vXdSTvTWiQjykBhyQlQppbBiZogIiCARSIBKMNXK9m1zIqCUgpmRLFFb5csEMwFRhC8rU8GSsSIirHTvjMPItJhovTKbzTBLRAQRjge4O1Ot5JRQU0SU1joRQS0FS4mcM6UUzIxaGzkNtNaICFbcHTPjnvf9z9zhrg9gSTgE/NX+98RZL38OEkFrDbNEaw0VBREgCILwIA8DRNC9MxtmPO4pz+V6N7gZS8JXyF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"},{"id":"7ba04a5c-1065-4e54-969d-665f3edb60f2","height":19.02,"width":35.89,"perimeter":134.83,"area":314.58,"image":"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"},{"id":"39e4a5a8-8364-42cb-939a-8d9aeb36a89a","height":20.09,"width":19.29,"perimeter":102.66,"area":183.57,"image":"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"},{"id":"d3b212bf-88c0-4ec6-8986-b610416cb097","height":8.84,"width":8.57,"perimeter":52.67,"area":54.03,"image":"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OfSign":"120","otherDimensionOfSign":32.39,"width_of_smaller_line":20},"timestamp":"2026-01-29 05:50:57"} 
[2026-01-29 05:51:00] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_depth":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flush/Stud 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\",\"boxArea\":\"478.95\"},{\"id\":\"7ba04a5c-1065-4e54-969d-665f3edb60f2\",\"width\":35.89,\"perimeter\":134.83,\"height\":19.02,\"area\":314.58,\"image\":\"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DMDXOjeGGpjx0vhVIr4zDHrbDd9tuwbv2e7LX/Rva8+0Z2Wb8fpVS2YtwGTBI/A2ILSVx37VVcedlF3LTpIq644mJuunFOjpu49nvXk4KMEbfCdNWM1WtmtMn2bLN2F9btspbZmp3YYae7ssOOu+JeuAXjNmaS+DkQtw3jdvZ/AXEFZUbrf2AhAAAAAElFTkSuQmCC\",\"boxArea\":\"387.54\"},{\"id\":\"d3b212bf-88c0-4ec6-8986-b610416cb097\",\"width\":8.57,\"perimeter\":52.67,\"height\":8.84,\"area\":54.03,\"image\":\"iVBORw0KGgoAAAANSUhEUgAAACAAAAAhCAYAAAC4JqlRAAAGa0lEQVRYCb3B78vddR3H8efr/fme60opMPJHuuaiH0SQYGxTXGKJlPkj3UT3q6S5TUkxmhZBoOQmxkrdlEiIgrpRUN4MuuGtCPoH+kPO5s6VeZ3z/bzfr87ZFsaK7th6PPTO397mr2/9yJvvzFHAZH0dV4JhvhgxRhIK0VpQZXo30aBsykXTQNlkFUFgFxh6dhZZNAVZiQFnse0zt7LzrqMsSRuzM/zlzeedZXoWrQUrfeysX/EBFosRbAz0noSCclE2ZkUsFp21yRrjOIIgKxHCiD6OSEFVkZWgxmdvuoU7Hvg2S9LGbMqff/e8FY3MZKWyEwrSkC6qzGQyYcxOjp2ICYvFgggRBEmxGDtVRgi7mM8XtDZgTC8jhMuMvfjc9tv48kPHWJI2ZlP/6ffPkb3ILBTChmiNzGIcRyIaGMqFC9JFRDCfzxFBRJCVVBoQiQFRvShDzw4WWYkxN++4nbv2fIclaWN2xm/95gcEghCZSWYhBa4iWmNcdKoKhbChsthczJkMaywWC1BQNhCAmC/mRDRsY5vWBjbnm0QERtz0+du4++FjLEkbs6n/+OvvA0KI7IkNMQy8++67IDFpE6oKC+abc4bJhL9vbtJaowpsU2UqCwkKKBunidbo40hrjbEnWNx86+189eFjLEkbs6n/8MvvkVnYgCCzMAaLzI40UFWUjQGnKcA2vSdlY1ZEVQIiFJSNEJmFbRSiu9h+y+3c88izLEkbs6nffOMYkpBg7MmkDSzGkauuvp4v3HsUO7lAGIMFmPPKWIBBIVygAKdRE14AAQTQDYO48oMf4uprbmRJ2phN/ebPnsE2tulVVBUu+PC1Wzn41E+4DMRFms2m/u3rT2NEZZFlxjFZW5vwketu5OCTJ7lIXAaazab+1ctPUWXKJlqjZyLDtTds49GnX2ZJXCaazab+xclvgUTvSURQZezihq2f4tGnf8xF4jLQ7NzUPz/5LWxji8oEhG0++rFt7HviBLZ5H7S+vs4wrPGfaHZu6jdeeoLqplwoArsoGySGYUJVcZ44TwoqkwtMGwZy7JRNtAY2K9EakvjKgwfZftuDLIlLaHZu6tdeOEJrgQ09O601yoUkQGDOq0qQsMFlhiHILMqmtaCyaK2xUlVEBLa595FD7Ny1myVxCc3OTP36S0cQQbmoMisCDChEZSEJCWxQBJWJJFaEyEoigqwCm/MkQuK+vYfYuWsPS+ISmp2d+rUXjzAuRhSBEBa0CKoSCCJE7yOtDdhGEq4CCYVwGUmAsfk39+09xM5de1gSl9Ds7NSnjx/BmBWXISAUVBbGtNYQUDYrVUVEQ4LMBIEUYINAiIiGnbRo3P3QN9ixaw9L4hKanZv65ee+CRIhYSAkQNywZQt7jzyDVIB5jwADAswF4j0GxD9N1q7hiiuvYklcQrOzU7/ywiFCgSRchSSqzJZtn+DxZ0/zPon/QrO3p37txFGyJ9GClZ6dtcka111/I49/9zQXictAszNTnzrxGDbnSaL3zjAZ2LL1kxx95lWWxGWi2dmpX/3hIRRBZjIMA2B6Jlu3fZrHnz3FReIy0Ozc1KePH0EEWYlsEEtiy9aPs/+JF7HN/5jW19dZW1tHszNTv3L8McQFkrBNSBRmaBMykwghCTAYspJQUFVMJhPGntjF2mRC7x0QEigC29gmInAZArbfsZ97H9iLZmenPnX8MLYBAaZFI7OjFkiCAmSyTEjYxjYtgnQhhBDlQhJSAKa1RlVigyTswggBO+48wH0P7EOzM1O/+sJjtKFhm8xEITDYJiJYsc2KqxgmA+Oi04ZGVWFAgCTOsykXUhASZbOiCFwJiJ13HuT+3fvR7OzUp44fpvckArJMIKIF5wlkqCpiaIyLkYhgRRISRASZhSRcBRIGBEQEvScSRDTsQoIdXzrA/bsPoNnZqU+dOExlgYSAYRhYLBZIorVGVoELEAohRFWhCOzCNi0aQhhTVQxtwJjeO21oOI1dKIKIYPsX93Pfg/vQ7MzUp04cRhIrmYltVqI1BNhGEnZhG0UDG0lIYmUcR9owECEqDZiqorWBqkQRCAGm986td32d+3cfQBtvn+GnJ5/0fHOTiGBoAz07QxtYjAskCDXsorVGlrHN0BpVBYZoQgRZSUQARhH0sWNMROAykgCjCLbfsY97vvYIss18Pjf/Z8Mw0FpDtrmEubzEv/gH3jkH8843nO4AAAAASUVORK5CYII=\",\"boxArea\":\"75.76\"},{\"id\":\"15d1c630-773f-40e4-9851-82864af2c2a3\",\"width\":8.3,\"perimeter\":44.79,\"height\":8.84,\"area\":41.72,\"image\":\"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\",\"boxArea\":\"73.37\"},{\"id\":\"3c2d5331-597f-40d9-82e8-92ca6991e739\",\"width\":8.84,\"perimeter\":33.34,\"height\":8.84,\"area\":31.5,\"image\":\"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\",\"boxArea\":\"78.15\"}]","mockupCreationType":"single","no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39"}},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: API Input Data Collected {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","sign_depth_or_thickness":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null}},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Looking up SignType {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Retrieved Material Formulas {"data":{"sign_type_id":14,"formulas_count":24},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Retrieved Variables List {"data":{"sign_type_id":14,"variables_count":9},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Price Map Constructed {"data":{"price_map":{"material501803":3.6821,"weight_material501803":0.629,"material501880":2.4107,"weight_material501880":0.503,"material501060":2.2179,"weight_material501060":0.378,"material500730":2.7786,"weight_material500730":1.481,"material500591":0.9286,"weight_material500591":0.357,"material500611":0.0062,"weight_material500611":6.2e-6,"material500214":0.0025,"weight_material500214":2.5e-6,"material501055":0.0155,"weight_material501055":1.55e-5,"material502098":0.0286,"weight_material502098":2.86e-5,"material502079":0.0163,"weight_material502079":1.63e-5,"material502350":0.0254,"weight_material502350":2.54e-5,"material501680":0.0076,"weight_material501680":7.6e-6,"material502131":0.0271,"weight_material502131":2.71e-5,"material500379":0.132,"weight_material500379":0.09,"material500419":0.16,"weight_material500419":0.11,"material502106":0.13,"weight_material502106":0.16,"material502567":0.13,"weight_material502567":0.21,"material502564":0.18,"weight_material502564":0.35,"material500154":0.4,"weight_material500154":0.38,"material502074":0.8,"weight_material502074":1.0}},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Variables Price Constructed {"data":{"variables_price":{"variable82":0,"variable83":0.75,"variable84":1.1,"variable85":1.2,"variable86":0,"variable87":0,"variable88":0,"variable89":0,"variable90":0}},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Final Variables Merged {"data":{"variables_count":161},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Initialized items collection {"data":{"count":0},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Merged material items {"data":{"formulas_count":24,"items_count_after_merge":24},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Merged variable items {"data":{"variables_count":9,"items_count_after_merge":33},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Sorted items collection {"data":{"items_count":33,"first_item":{"type":"material","id":298,"expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, variable85 * nested_area * material501803, 0 )","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","var_name":"material501803","price":"3.6821","description":"Aluminium sheet 0.098\" – Durable, corrosion-resistant, suitable for both indoor and outdoor channel letter faces.","sequence_no":1},"last_item":{"type":"variable","id":90,"expression":"totalCost * variable84","dense_weight_expression":"totalDenseWeight  * 1.1","name":"Total Cost","var_name":"variable90","price":null,"description":null,"sequence_no":33}},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Initializing MathExecutor {"data":{"variables_count":161},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: MathExecutor variables set {"data":{"variables_count":161},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, variable85 * nested_area * material501803, 0 )","result":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches, weight_material501880 * occupied_area, 0 )","itemDenseWeight":"4.39119"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches, variable85 * nested_area * material501880, 0 )","result":"48.5707836"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, 0, weight_material501060 * ( sign_depth_or_thickness / 12 * perimeter_of_sign )  )","itemDenseWeight":"1.746045"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, 0, material501060 * variable85 * ( sign_depth_or_thickness / 12 * perimeter_of_sign )  )","result":"12.2938197"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, occupied_area * weight_material500730 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, variable85 * nested_area * material500730, 0 )","result":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * weight_material500591 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, variable85 * ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * material500591, 0 )","result":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: No formula, default result applied {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight":0,"result":0},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Epoxy Primer Pakistan","dense_weight_expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * weight_material500611","itemDenseWeight":0.004423515494200001},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Primer Pakistan","expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * material500611","result":4.4235154942},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Master Thinner Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * weight_material500214","itemDenseWeight":0.00035133004291666676},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"Master Thinner Pakistan","expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * material500214","result":0.35133004291666675},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Epoxy Hardner Master Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * weight_material501055","itemDenseWeight":0.0033511481016666677},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Hardner Master Pakistan","expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * material501055","result":3.3511481016666673},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * weight_material502098 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * material502098, 0 )","result":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * weight_material502079 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * material502079, 0 )","result":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502350 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502350, 0 )","result":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * weight_material501680 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * material501680, 0 )","result":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * weight_material502098 )","itemDenseWeight":"0.0068874224466667"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * material502098 )","result":"6.8874224466667"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502131 )","itemDenseWeight":"0.00334268473"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502131 )","result":"3.34268473"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * weight_material502350 )","itemDenseWeight":"0.0044757086"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * material502350)","result":"4.4757086"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * weight_material501680 )","itemDenseWeight":"0.00035711690666667"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * material501680 )","result":"0.35711690666667"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"Paint Miscellaneous cost","expression":"0.2 * ( formula304 + formula305 + formula306 + formula307 + formula308 + formula309 + formula310 + formula311 + formula312 + formula313 + formula314 )","result":4.637785264423341},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"Packaging/Box Making","expression":"variable83 * nested_area","result":12.5925},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 5ply","dense_weight_expression":"if( ( width_of_sign > 0 || other_dimension_of_sign > 0 ) && width_of_sign <= 30 && other_dimension_of_sign <= 30, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500379 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 5ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 7Ply","dense_weight_expression":"if( ( width_of_sign > 30 || other_dimension_of_sign > 30 ) && width_of_sign <= 50 && other_dimension_of_sign <= 50, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500419 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 7Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight_expression":"if( ( width_of_sign > 50 || other_dimension_of_sign > 50 ) && width_of_sign <= 60 && other_dimension_of_sign <= 60, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material502106 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ) && width_of_sign <= 70 && other_dimension_of_sign <= 70, nested_area * 2 * weight_material502567 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight":"0","result":0},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight_expression":"if( ( width_of_sign > 70 || other_dimension_of_sign > 70 ) && width_of_sign <= 90 && other_dimension_of_sign <= 90, nested_area * 2 * weight_material502564 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight":"0","result":0},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight_expression":"if( ( width_of_sign > 90 || other_dimension_of_sign > 90 ), nested_area * weight_material500154 * 2, 0 )","itemDenseWeight":"12.7604"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight":"12.7604","result":0},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Wood Lar 9''x132''","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ), 4 * sqrt(nested_area) * (  ( sign_depth_or_thickness + 2 ) / 12 ) * weight_material502074 , 0 )","itemDenseWeight":"4.0975602497096"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: No formula, default result applied {"data":{"name":"Wood Lar 9''x132''","dense_weight":"4.0975602497096","result":0},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: No formula, default result applied {"data":{"name":"Miscalleneous (10%)","dense_weight":0,"result":0},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: No formula, default result applied {"data":{"name":"Where Wastage magnification factor for Sheets consumption is taken as","dense_weight":0,"result":0},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"Flush/Stud Mount","expression":"if(mounting_type == mounting_type_flush_stud_mounted, 1, 0 )","result":"1"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Standard Raceway (6x2)","dense_weight_expression":"if(mounting_type == mounting_type_standard_raceway_6x2, (  (  (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_height * 2 ) + ( raceway_height * raceway_depth * 2 ) + (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_depth * 2 )  ) / 144 ) * weight_material501803 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"Standard Raceway (6x2)","expression":"if(mounting_type == mounting_type_standard_raceway_6x2, variable85 * (  ( material501803 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  ) + ( 2.7 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Flat Backer (2.5 mm)","dense_weight_expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) / 144 * weight_material501803 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"Flat Backer (2.5 mm)","expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, variable85 * (  ( material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2.7 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Dense weight computed {"data":{"name":"Backerboard Cabinet (2\")","dense_weight_expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, (  ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  ) + ( 2 * (  ( other_dimension_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  )  ) / 144 * weight_material501803, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula executed successfully {"data":{"name":"Backerboard Cabinet (2\")","expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, variable85 * (  (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * material501803 / 144 ) + (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * 2.7 / 144 )  ), 0 )","result":"0"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Total Cost formula detected {"data":{"item_id":90},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Formula calculations completed {"data":{"total_items":33,"successful_calculations":32,"errors_count":0},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Summed initial totals {"data":{"totalCost_before_formula":102.28381488654007,"totalDenseWeight_before_formula":23.018384176031716},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Total Cost formula executed {"data":{"formula":"totalCost * variable84","computed_totalCost":112.5121963751941},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Total Dense Weight formula executed {"data":{"formula":"totalDenseWeight  * 1.1","computed_totalDenseWeight":25.32022259363489},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Total Cost result added to calculationsResults {"data":{"variable_id":90,"result":112.5121963751941,"dense_weight_expression":25.32022259363489},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Preparing boxes for bin packing {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","objects_count":8,"totalDenseWeight":0},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Processing flush stud mounted objects for 3D bin packing {"data":{"objects_count":8,"sign_depth":"1"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-1","width":23.84,"height":20.09,"depth":"1"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-2","width":35.89,"height":19.02,"depth":"1"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-3","width":16.34,"height":19.02,"depth":"1"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-4","width":17.41,"height":19.02,"depth":"1"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-5","width":19.29,"height":20.09,"depth":"1"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-6","width":8.57,"height":8.84,"depth":"1"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-7","width":8.3,"height":8.84,"depth":"1"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-8","width":8.84,"height":8.84,"depth":"1"},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: 3D Bin Packing API response received {"data":{"response":{"response":{"id":"1769665860_7a01a52d24e1ccc4af2de8809dcfd283","bins_packed":[{"bin_data":{"w":36.19,"h":20.39,"d":6.5,"id":"unique","used_space":67.6963,"weight":0,"gross_weight":0,"used_weight":100,"stack_height":20.39,"order_id":null},"image_complete":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/4642979c9090f027349365f3796c0c30/1769665860-6919-6953466.svg","items":[{"id":"item-2","w":36.19,"h":19.32,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/4642979c9090f027349365f3796c0c30/1769665860-6914-1120289.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-4","w":17.71,"h":19.32,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/4642979c9090f027349365f3796c0c30/1769665860-6915-3561429.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-8","w":9.14,"h":9.14,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/4642979c9090f027349365f3796c0c30/1769665860-6916-8023600.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-3","w":16.64,"h":19.32,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/4642979c9090f027349365f3796c0c30/1769665860-6916-8706709.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-6","w":8.87,"h":9.14,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/4642979c9090f027349365f3796c0c30/1769665860-6917-4417354.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-7","w":8.6,"h":9.14,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/4642979c9090f027349365f3796c0c30/1769665860-6918-3620093.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-1","w":24.14,"h":20.39,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/4642979c9090f027349365f3796c0c30/1769665860-6918-3453385.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-5","w":19.59,"h":20.39,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/4642979c9090f027349365f3796c0c30/1769665860-6919-4954386.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}}]}],"errors":[],"status":1,"not_packed_items":[]}}},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:00] local.INFO: Box added from packed bin {"data":{"length":6.5,"width":36.19,"height":20.39,"denseWeight":0},"timestamp":"2026-01-29 05:51:00"} 
[2026-01-29 05:51:01] local.INFO: Shipping rates calculated {"data":{"boxes":[{"size":{"length":8.5,"width":38.19,"height":22.64},"quantity":1,"denseWeight":1}],"cheapestShippingCost":258.47284999999994,"rawShippingRates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":39.2,"rate":"303.46","tariffAndDS":342.65999999999997,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":548.8497659999999,"totalShipmentCostFormula":"((tariffAndDS (342.66) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 548.85","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":39.2,"rate":"176","tariffAndDS":215.2,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":357.0097199999999,"totalShipmentCostFormula":"((tariffAndDS (215.2) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 357.01","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":24.5,"rate":223.44,"tariffAndDS":247.94,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":381.08377999999993,"totalShipmentCostFormula":"(( tariffAndDS (247.94) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 381.08378","warnings":[]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":39.2,"rate":"264.00","tariffAndDS":303.2,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":325.2,"totalShipmentCostFormula":"(((tariffAndDS (303.2) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 325.2","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":0,"rate":"156.12","tariffAndDS":156.12,"fuelSurcharge":"0.3250","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":258.47284999999994,"totalShipmentCostFormula":"(((tariffAndDS (156.12) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3250)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 258.47285","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":0,"rate":695,"tariffAndDS":695,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":695,"totalShipmentCostFormula":"((tariffAndDS (695) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 695"}]}},"timestamp":"2026-01-29 05:51:01"} 
[2026-01-29 05:51:01] local.INFO: Product cost factor determined {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","productCostFactor":1.66},"timestamp":"2026-01-29 05:51:01"} 
[2026-01-29 05:51:01] local.INFO: Final API Response {"data":{"sign_width":"120","sign_height":"32.39","sign_depth":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","processed_sign_type":"Fabricated Channel Letters - Non Illuminated","sideViewImage":"https://api.signize.ai/mockups/flush-stud/flush-stud-fabricated-channel-letters-non-illuminated.png","mounting_type":"Flush/Stud 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deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-4","w":17.71,"h":19.32,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/4642979c9090f027349365f3796c0c30/1769665860-6915-3561429.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-8","w":9.14,"h":9.14,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/4642979c9090f027349365f3796c0c30/1769665860-6916-8023600.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-3","w":16.64,"h":19.32,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/4642979c9090f027349365f3796c0c30/1769665860-6916-8706709.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-6","w":8.87,"h":9.14,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/4642979c9090f027349365f3796c0c30/1769665860-6917-4417354.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-7","w":8.6,"h":9.14,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/4642979c9090f027349365f3796c0c30/1769665860-6918-3620093.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-1","w":24.14,"h":20.39,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/4642979c9090f027349365f3796c0c30/1769665860-6918-3453385.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels 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normalization"}}]}],"errors":[],"status":1,"not_packed_items":[]}},"shipping_rates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":39.2,"rate":"303.46","tariffAndDS":342.65999999999997,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":548.8497659999999,"totalShipmentCostFormula":"((tariffAndDS (342.66) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 548.85","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":39.2,"rate":"176","tariffAndDS":215.2,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":357.0097199999999,"totalShipmentCostFormula":"((tariffAndDS (215.2) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 357.01","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":24.5,"rate":223.44,"tariffAndDS":247.94,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":381.08377999999993,"totalShipmentCostFormula":"(( tariffAndDS (247.94) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 381.08378","warnings":[]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":39.2,"rate":"264.00","tariffAndDS":303.2,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":325.2,"totalShipmentCostFormula":"(((tariffAndDS (303.2) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 325.2","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":0,"rate":"156.12","tariffAndDS":156.12,"fuelSurcharge":"0.3250","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":258.47284999999994,"totalShipmentCostFormula":"(((tariffAndDS (156.12) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3250)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 258.47285","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":0,"rate":695,"tariffAndDS":695,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":695,"totalShipmentCostFormula":"((tariffAndDS (695) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 695"}]},"cheapest_shipping_cost_usd":260.0,"totalCost":450.0,"productionResults":[{"material_id":298,"dense_weight_expression":0,"result":"0","sign_material":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","description":null,"sequence_no":1},{"material_id":299,"dense_weight_expression":4.39119,"result":"48.5707836","sign_material":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","description":"Aluminium sheet 0.079\" – 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Pakistan","description":null,"sequence_no":7},{"material_id":305,"dense_weight_expression":0.00035133004291666676,"result":0.35133004291666675,"sign_material":"Master Thinner Pakistan","description":null,"sequence_no":8},{"material_id":306,"dense_weight_expression":0.0033511481016666677,"result":3.3511481016666673,"sign_material":"Epoxy Hardner Master Pakistan","description":null,"sequence_no":9},{"material_id":307,"dense_weight_expression":0,"result":"0","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":10},{"material_id":308,"dense_weight_expression":0,"result":"0","sign_material":"Matting Agent (P565-554) 1L Nexa Pakistan","description":null,"sequence_no":11},{"material_id":309,"dense_weight_expression":0,"result":"0","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":12},{"material_id":310,"dense_weight_expression":0,"result":"0","sign_material":"Thinner (P850-1491) Fast 5L Nexa 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cost","description":null,"sequence_no":18},{"variable_id":83,"dense_weight_expression":0,"result":12.5925,"sign_material":"Packaging/Box Making","description":"Custom Packaging with 3–5 ply corrugated boxes with inner foam/styro and stretch wrap.","sequence_no":19},{"material_id":526,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 5ply","description":null,"sequence_no":20},{"material_id":527,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 7Ply","description":null,"sequence_no":21},{"material_id":528,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 9 Ply","description":null,"sequence_no":22},{"material_id":529,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 5mm 3 Core 4*8","description":null,"sequence_no":23},{"material_id":530,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 7mm 4 Core","description":null,"sequence_no":24},{"material_id":531,"dense_weight_expression":12.7604,"result":0,"sign_material":"Plywood Sheet 8*4 Mersawa 6 core 9MM","description":null,"sequence_no":25},{"material_id":532,"dense_weight_expression":4.0975602497096,"result":0,"sign_material":"Wood Lar 9''x132''","description":null,"sequence_no":26},{"variable_id":84,"dense_weight_expression":0,"result":0,"sign_material":"Miscalleneous (10%)","description":null,"sequence_no":27},{"variable_id":85,"dense_weight_expression":0,"result":0,"sign_material":"Where Wastage magnification factor for Sheets consumption is taken as","description":null,"sequence_no":28},{"variable_id":86,"dense_weight_expression":0,"result":"1","sign_material":"Flush/Stud Mount","description":"Sign to be Flush/Stud Mounted to the wall.","sequence_no":29},{"variable_id":87,"dense_weight_expression":0,"result":"0","sign_material":"Standard Raceway (6x2)","description":null,"sequence_no":30},{"variable_id":88,"dense_weight_expression":0,"result":"0","sign_material":"Flat Backer (2.5 mm)","description":null,"sequence_no":31},{"variable_id":89,"dense_weight_expression":0,"result":"0","sign_material":"Backerboard Cabinet (2\")","description":null,"sequence_no":32},{"variable_id":90,"dense_weight_expression":25.32022259363489,"result":112.5121963751941,"sign_material":"Total Cost","description":null,"sequence_no":33}],"productionError":[],"request":{"sign_width_or_height":"120","sign_depth_or_thickness":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null},"TATDays":21,"testDenseWeight":25.32022259363489},"timestamp":"2026-01-29 05:51:01"} 
[2026-01-29 05:51:01] local.INFO: API Epic Craftings Calculation Ended ======================================================================================================== {"data":null,"timestamp":"2026-01-29 05:51:01"} 
[2026-01-29 05:51:02] local.INFO: API B2 Sign Calculation Started ======================================================================================================== {"data":null,"timestamp":"2026-01-29 05:51:02"} 
[2026-01-29 05:51:02] local.INFO: Incoming Request {"data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","dimensions":[{"id":"25eec6b4-0a84-4f85-b84a-84b0c1570980","height":20.09,"width":23.84},{"id":"7ba04a5c-1065-4e54-969d-665f3edb60f2","height":19.02,"width":35.89},{"id":"6306efb8-6eef-4158-81aa-f4efa7de892b","height":19.02,"width":16.34},{"id":"15e939d3-2c71-4b6b-a89b-3a21c1af11e6","height":19.02,"width":17.41},{"id":"39e4a5a8-8364-42cb-939a-8d9aeb36a89a","height":20.09,"width":19.29},{"id":"d3b212bf-88c0-4ec6-8986-b610416cb097","height":8.84,"width":8.57},{"id":"15d1c630-773f-40e4-9851-82864af2c2a3","height":8.84,"width":8.3},{"id":"3c2d5331-597f-40d9-82e8-92ca6991e739","height":8.84,"width":8.84}]},"timestamp":"2026-01-29 05:51:02"} 
[2026-01-29 05:51:02] local.INFO: Validating Request Payload {"data":[],"timestamp":"2026-01-29 05:51:02"} 
[2026-01-29 05:51:02] local.INFO: Request Validation Successful {"data":{"validated_data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","dimensions":[{"id":"25eec6b4-0a84-4f85-b84a-84b0c1570980","height":20.09,"width":23.84},{"id":"7ba04a5c-1065-4e54-969d-665f3edb60f2","height":19.02,"width":35.89},{"id":"6306efb8-6eef-4158-81aa-f4efa7de892b","height":19.02,"width":16.34},{"id":"15e939d3-2c71-4b6b-a89b-3a21c1af11e6","height":19.02,"width":17.41},{"id":"39e4a5a8-8364-42cb-939a-8d9aeb36a89a","height":20.09,"width":19.29},{"id":"d3b212bf-88c0-4ec6-8986-b610416cb097","height":8.84,"width":8.57},{"id":"15d1c630-773f-40e4-9851-82864af2c2a3","height":8.84,"width":8.3},{"id":"3c2d5331-597f-40d9-82e8-92ca6991e739","height":8.84,"width":8.84}]}},"timestamp":"2026-01-29 05:51:02"} 
[2026-01-29 05:51:02] local.INFO: Fetching Sign Type {"data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated"},"timestamp":"2026-01-29 05:51:02"} 
[2026-01-29 05:51:02] local.INFO: Sign Type Query Result {"data":{"found":true,"sign_type_id":14},"timestamp":"2026-01-29 05:51:02"} 
[2026-01-29 05:51:02] local.INFO: Checking B2 Module for Sign Type {"data":{"sign_type_id":14},"timestamp":"2026-01-29 05:51:02"} 
[2026-01-29 05:51:02] local.INFO: Sign Type B2 Module Result {"data":{"has_b2_module":false},"timestamp":"2026-01-29 05:51:02"} 
[2026-01-29 05:51:02] local.ERROR: Sign Type Without B2 Module Attempt {"data":{"sign_type_id":14},"timestamp":"2026-01-29 05:51:02"} 
[2026-01-29 05:51:03] local.INFO: USA Workshop Calculation API Started {"data":{"request":{"sign_type":"Fabricated Channel Letters - Non Illuminated","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","shipping_weight":24.5,"shape":"rectangular","dimensions":[{"id":"25eec6b4-0a84-4f85-b84a-84b0c1570980","height":20.09,"width":23.84},{"id":"7ba04a5c-1065-4e54-969d-665f3edb60f2","height":19.02,"width":35.89},{"id":"6306efb8-6eef-4158-81aa-f4efa7de892b","height":19.02,"width":16.34},{"id":"15e939d3-2c71-4b6b-a89b-3a21c1af11e6","height":19.02,"width":17.41},{"id":"39e4a5a8-8364-42cb-939a-8d9aeb36a89a","height":20.09,"width":19.29},{"id":"d3b212bf-88c0-4ec6-8986-b610416cb097","height":8.84,"width":8.57},{"id":"15d1c630-773f-40e4-9851-82864af2c2a3","height":8.84,"width":8.3},{"id":"3c2d5331-597f-40d9-82e8-92ca6991e739","height":8.84,"width":8.84}]}},"timestamp":"2026-01-29 05:51:03"} 
[2026-01-29 05:51:03] local.INFO: Validation Passed {"data":[],"timestamp":"2026-01-29 05:51:03"} 
[2026-01-29 05:51:03] local.INFO: Input Parameters {"data":{"dimensions_count":8,"shape":"rectangular"},"timestamp":"2026-01-29 05:51:03"} 
[2026-01-29 05:51:03] local.INFO: Resolved Default Data {"data":{"sign_type_map":{"sign_type_halo_lit_letters":"Halo Lit Channel Letters","sign_type_face_lit_letters":"Premium Face-Lit Letters (Metallic Trim)","sign_type_face_and_halo_lit_letters":"Face & Halo Lit Channel Letters","sign_type_single_sided_lightbox":"Fabricated Lightbox - Single Sided","sign_type_double_sided_lightbox":"Fabricated Blade Sign -  Illuminated/Double Sided","sign_type_flat_cut_acrylic_letters":"Flat Cut Acrylic Letters","sign_type_flat_cut_aluminum_letters":"Flat Cut Aluminum Letters","sign_type_single_sided_push_through":"Fabricated Push Through - Single Sided","sign_type_fabricated_letters_non_lit":"Fabricated Channel Letters - Non Illuminated","sign_type_2d_blade_sign":"Flat Blade Sign","sign_type_3d_blade_sign":"Fabricated Blade Sign - Non Illuminated / Double Sided","sign_type_neon_sign":"Neon Sign","sign_type_marquee_channel_letters":"Marquee Channel Letters","sign_type_open_face_neon_channel_letters":"Open Face Neon Channel Letters","sign_type_mirror_infinity_channel_letters":"Mirror Infinity Channel Letters","sign_type_metal_on_acrylic":"Flat Cut Acrylic with Metal Pasting","sign_type_neon_acrylic_sign":"Neon Acrylic Sign","sign_type_double_sided_push_through_cabinet":"Double Sided Push Through Cabinet","sign_type_standard_face_lit_plastic_trim_letters":"Standard Face Lit Letters (Plastic Trim)","mounting_type_flush_stud_mounted":"Flush/Stud mounted","mounting_type_standard_raceway_6x2":"Standard Raceway","mounting_type_flat_backer_2_5_mm":"Flat Backer","mounting_type_backerboard_cabinet_2_inch":"Backerboard Cabinet","avg_char_height_less_than_24_inches":"Less than 24 inches","avg_char_height_greater_than_24_inches":"Greater than 24 inches","raceway_height_6":"6","raceway_height_8":"8","raceway_height_10":"10","raceway_height_12":"12","raceway_depth_2":"2","raceway_depth_3":"3","raceway_depth_4":"4","raceway_depth_5":"5","raceway_depth_6":"6","raceway_depth_7":"7","raceway_depth_8":"8","backboard_cabinet_depth_2":"2","backboard_cabinet_depth_3":"3","backboard_cabinet_depth_4":"4","backboard_cabinet_depth_5":"5","backboard_cabinet_depth_6":"6","backboard_cabinet_depth_7":"7","backboard_cabinet_depth_8":"8","material_aluminium":"Aluminium","material_stainless_steel":"Stainless Steel","application_exterior":"Exterior","application_interior":"Interior","ul_mandatory_yes":"Yes","ul_mandatory_no":"No","paint_finish_gloss_satin":"Gloss/Satin","paint_finish_matte":"Matte","neon_color_simple":"Simple","neon_color_rgb":"RGB","uv_printing_needed_yes":"Yes","uv_printing_needed_no":"No","trim_type_trimless":"Trimless","trim_type_with_trim":"With Trim","fabricated_finish_original_colors_matt":"Original Colors Matt","fabricated_finish_original_colors_gloss":"Original Colors Gloss","fabricated_finish_silver_mirror":"Silver Mirror","fabricated_finish_silver_brushed":"Silver Brushed","fabricated_finish_golden_mirror":"Golden Mirror","fabricated_finish_golden_brushed":"Golden Brushed","fabricated_finish_bronze_mirror":"Bronze Mirror","fabricated_finish_bronze_brushed":"Bronze Brushed","fabricated_finish_bronze_antique":"Bronze Antique","lightbox_type_light_box":"Lightbox","lightbox_type_cut_to_shape":"Cut to shape Lightbox","return_color_black":"Black","return_color_white":"White","return_color_blue":"Blue","return_color_brown":"Brown","return_color_yellow":"Yellow","return_color_teal":"Teal","return_color_orange":"Orange","return_color_golden_brushed":"Gold Brushed","return_color_match_logo":"Match Logo (Default)","shape_rectangular":"Rectangular","shape_cut_to_shape":"Cut to shape","shape_round":"Round"}},"timestamp":"2026-01-29 05:51:03"} 
[2026-01-29 05:51:03] local.INFO: Sign Type Lookup {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","found":true,"sign_type_id":14},"timestamp":"2026-01-29 05:51:03"} 
[2026-01-29 05:51:03] local.INFO: USA Workshop Module Check {"data":{"sign_type_id":14,"has_module":true},"timestamp":"2026-01-29 05:51:03"} 
[2026-01-29 05:51:03] local.INFO: Initial Price Lookup {"data":{"shape":"rectangular","price_found":true},"timestamp":"2026-01-29 05:51:03"} 
[2026-01-29 05:51:03] local.INFO: USA Workshop Price Found {"data":{"base":"object","price_per_inch":5.0},"timestamp":"2026-01-29 05:51:03"} 
[2026-01-29 05:51:03] local.INFO: Calculating Production Cost (Object Base) {"data":[],"timestamp":"2026-01-29 05:51:03"} 
[2026-01-29 05:51:03] local.INFO: USA Workshop Calculation Completed {"data":{"production_cost":618.8000000000001,"dimensions_count":8},"timestamp":"2026-01-29 05:51:03"} 
[2026-01-29 05:51:54] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_depth":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flat 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\",\"boxArea\":\"478.95\"},{\"id\":\"7ba04a5c-1065-4e54-969d-665f3edb60f2\",\"width\":35.89,\"perimeter\":134.83,\"height\":19.02,\"area\":314.58,\"image\":\"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tCN7VNewNNvfg4H4kD3n71QX/j0L7P0Dd6cdeyRGVRxenrK2A+aCwTuTlXxvf/wx3jymVv5a078Bd1/9kJ96bEPcLQ92bLfr2QGJuHuVCWnJ1vGfmVzuiEzuf21r+PJZ27lQFwD9MA9j9b/eOwDjDmRidOTLTGD3htVxbqunJxsqQwig94Wbn/d63jymVs5ENcAPXjusfrSo78KMmJOzMTSG+bOnBMzI2Ny3XWn7NaV3hq3vfa1PPnMKzgQ1wA9eO6z9aef/QCYqEiikpPNlnXds9l0vDnrfsXdMG9UFX/3da/jSTfcyoG4Bug37320/ucf/Rrb7ZbMZHf5Mn1ZaGaYc1Asy8Llyzt662Qlt732dVx/w8s5ENcA/Ydzn60/feKDmENrjdacmEFrzrquLL3Te2eMFTNns1l4yau/n+tveDkH4hqgB889Vl/54m+QGUjGZllY1xUzERmQhbmTc+LuIOMVP/JannTmVg7ENUAP3f94/clnf4UnXX89Fy9+lSrYbDZstxt2u8u4O2Nd2Ww2zDnpy8J3/8AP8aQzt3IgrgF66P7H68uf/zX60ogZZCbuhuQI4c2JmGQmX3d6Het+z3f/0I9w/Q0v50BcA/TQfY/XV7/4YeSOyygKBG7OOlY2y4bMIsZKIcyNl/3gD3P9DS/nQFwD9FsPPF7/+wsfJiJorbHZbFjHgCrmnLgZBVQWvTmVxct++Ed50plbORDXAD1032fr8pf+LfvdDpNovePeyAwyCygkMecks5CKl73qh+hP+07+X8VfCXJzvu766/nL0G898ET92ec/yLIsjHWlAHfHJJCAQhKFGHNwsjkhIzi57jouXbxIUbgaM4MqGDmhYLfb0VpDiNYaEUVksl9XluZkcSCOxpwUoAQzp1S4OWMMxrrirVMSVUnMJKKAIiIwa0QGWYW3xjOf9Ux+9Kd/lQNxlfTRBx6vr3zhwxhgZkQkiANRFAjcnYxgzmCz2TAjGPs9fdmQkcwIWmtAscZkroFkZCabpbPfrxRHooDMIJMrZCLmJLNorTPnJCJJxBWVICMiAZGZRAYRiUxIRmaRGTRvPPM5z+YfvOlDHIirpIfu+2x95Y8/TEXSeweK3jqXdzu8N+acHFUVJiMz8daYc3JUiLGumDd6b4wZzDkwOXNMlu2Wr371IibhzckMIorWOzEmyYFEZRIRuDfGGMicGYEkMmGMgUnInBmTqgKKKmits64rQjzvG57P6+74AAfiKumh+x+vL3/+g2Qmm82GqqKyMBORyZyBu2MmIgszZ45B6411v2LuzBlIzpEEEcGMpHljzMmYg6UvjLnirXP54mVOT064tLuMeSOLKzIT98a6H2QWEZOsws3IKrISYSCYM8gqttstMSZVxTomz3/BN/Jjb/kgB+Iq6bceeKL+7HP/mhnBsiwcVSVzJpJRVSCRmRxlJstmYYzJHJNl2TDWFZkTmYDY7Xb03vDWWPeDzKT3Tmaw36+YO5lJVjEjMQkkMrkiI2mtMWMyozAzJCMrmGPg3ogMSEBGZUGBJJ713Ofw42/7EAfiKumjDzxRX/78h4AECZMYY+DuZIL3xrqubDZb5hxUQcwkKzEZ67oiM5p3IoJZQczAJDKgbzrrfiUjgaT1LbsxiAhMxhiTohDGUQkiClSYjIhJZdF6J2YyxqD1xpyTSmjuVBWRSZl47tc/j3/0lg9xIK6SHrr/8frzP/4NLl38Kienp+x3e0BkJXIjI2i9I4mxBpnFnBO1hiFk4vLly/TWmXPg7sxI3Jzd5R1ts7COFTNHMvb7FTMxR2LNcTPmnFRCcSCxritmhiSQMMQYEzMnMwFhJiKCpJAZlUVRPPvZz+H1P/cRDsRV0oPnHqsvf/5DVAEGYwyEMHPWdXDUl46AdQQI1nWQUciEmXBzdrsdrXdiBpgRkUQk3pzMRDKqYKyDIolIWusgkVkgGPsVEAjcnXUdUEISrXf26x53BwkK5hxEJpKoKsyM5z7nebz+7R/hQFwlffSBx+vPPv/rrGMlI4kseu9EBFUQc1KI1hq7/UpzJyuhoACTMeaALJAxMzF3qoqIYo6gKpFEIaqgNWdGYGas60oVV2QFwpGEmzPHwHtnXVeKAgkEJCCQRGaCRGUhxHOf+zx+4ud+nQNxlfTgucfqy//lI2QlY12JmXhr/F9FJUQVkljHREBmYSbkxowgM3HvjHUFiYyiqgCRWWQGBWQW5s5RRFKVRAa9bdjvdpg7MqcqGWPSesMkMouiKIqYgbuTmUiiqohI3A0hnvOc5/L6t3+EA3GV9NB9j9d/f/RXWJbOGJOIJKto7kQGBajEzElmcVQFBciMiMTd2e9W3Bvr2JOZuHXMRFWRVSBjXVfcnYjA5MjEGAM3Z86kVLg3spKI4GtkImYgiSpwcyKC1p05g6rEzJhz8g3f8Hxe/3Mf4UBcJT1472P1p3/0a0gciBnBfrcHCQkiEoorWu/s9ytZBTKgyEyWvuHy5R1FUYgqaK2x7lf60jmKCKogK6DEFSXGGJgZMmONQWXh7vTeqSoigsrC3MkMKJEZyAwzse5Xlu2GjCRi8vXPez6vf/uHORBXSQ+ee6y+9NgHyCooGGNSWSSFu5OZgIg5KTMigoiAMnpvzJhEJFlFZuLWkBkRQWRCFogDQwVIQFFZmDuRwYzA3IkIzIzIwM2ZM9hsNkQEYx3IjKoEit47VTDnAIQ3QxjPeuaz+Kl3/BsOxFXSb977WP3JEx8kM1nXlTmCkiiBmzPGYLNs2e12ZCbWnL/1ohfxlOtfQE2gQVHUCuriioAxky5RHHRYB3jBrMIlvAokjtYqzERlMQAHFon/VcV1EkEhg4xiIkSxlZEUFzMRoktsJK674Tq+7TtfzYG4Snrgnkfri5/5l7g7lcWIQG5kQswAhLszZxARtOb82B0/xVNveiV/hYm/BP3mvY/W5x5+HwGYOyaRmUQUlKgqJGOOFdyogte/7Q087aZX8hfEX3O6/+yF+uNHfoXIpKpwc8aYHEUkklESY10xN0C8/m0/w9NueiUH4hqgB+55tJ54+P0IQxKSiEpMxn4duDtCRCQzBmbGT/7sG3jaTa/kQFwDdN/ZC/XE77+fAjKT1jozJlVQlYCYcyKB0SiKf/z2N3LDzbdxIK4Buu/uC3Xhd99L6w0K1jE4mnOy3W4Z6wREVmLuVBY/8443csNNt3EgrgG67+yj9cjv/DPMG1BEBEhUJJKDBFVEBNYbmckb/skdnLn5Ng7ENUDn7r5Qj/3H9zHGoHmnKKpEZiKKLK7ISgqQxBvf8SbO3HwbB+IaoHvvOl/nP/EeMqF7IzJIiYjA3JhjIgkEQmQmb/6Ft3Lm5ts4ENcA3XvX+XrkY+9hZtC8YWbMmGQVVVAqhJBEZmJm3PGON3HmGbdzIK4BuveuC/WZj72bmYHMKAqKK6qKqgKEmXFUVbz559/MmWfczoG4Bujc3Y/WJ3/7XRzJREURGZgZkiFEZtKXzpxBVfGmn7+DMzffzoG4BuieO8/XZz7xXvb7Pb13xjowN5BRmRTCXZhEZlIFb/mFt3DmGbdzIK4BuufOR+oPP/5eMpOqIrOQxFFmUgWtOWZiRmIm3vRP38yNz7idA3EN0L13Xag//Ph7mXMgxIzA3akqjjKDqsLciUhac97yjrdy5lm38RfEX3O6587z9emPvRtkREwiAndHgszC3QBRVWQmZsbf/rZbeOZyA3qqqLVgACsHBYiiEIVkIFGZSCIiMHO0QK1cUZXYxtntgo2EXFQWaxULBxIyo7KoSqoKM+NrqoqqwsyoKhAIoyiEKAqqwISdGnWxyAzMnW965ffxpKc/W7r3rvP18EPvpC8Lc04iAyFkoqqgwMzIDMwdCjITSZgZlUXrjXVdcXNmTARYa1Dg7mQmVUllIROZiZlhZow56c3JLCoLc+MoKxGiqnB3IhKZoAqZEXOyLAtjDkyGmbGuK5KoSswcM0MSEYEkZEbMSWvOmMFb73g3N37Li6V77nyk/vDj7yMiMDeqkjkmkoCCElDIDG+NOQZVhSQkEEbrjf1ujwTenMzCzJlzYGaYGVWFmcjkoDATkjHG4Ki1xpyDzKL3jruTmRzNOWmtkZlQEBn01skq5hz0pZMzKY4KM6OqgELmUMUYg2VZiAjcnTknb7vj3Zx54S3onrvO16c+9m4qkyzIDEwChEwIcZSZCJEUlYmZ4d6oSiKCqqKqcHfcjBGBSVQlICRxhYRJRAStNRDMMXF3IgJ3JyJp3ZnrZLPZEJmMsSKJquKotw4GYx0ctd4wGesYmAwoJJAMCopCEpIxxoqZ85affhc3/s1b0D13nq9P/857MHfW/R4oJEPiQEQE25Mt67oSM9gsC/t1xZtTWZgZkphz0FqnqqgqMhMzYeaYOWPsOZKMAkziaMbEzZFEVlGVmAwKshJJuDuZQZWAQghvTlUx1gGCqqK1RlVhZmyWhTEnMYOi6G1hxkCAJJBxx4//Ijd++y3onjvP18MP/RLmBggo3J0qiAhkwhBIZAbuDTdjRhJz4r2RMYko3A0zY87A3agqqgqqkBlVRWuN/bpnu90yxyQzaa0BBYivyUyqiq/JLJalM+ekqiiK5o0qyAqaNzITd2fMSTNHBmNMWmsIWOegtU7OAMGb3/AubnzhLeieu87XHzz0S1Dg3nA3MpIZE3PHJI7GnDR3qgozIyuhCkrIRFVi5sw5yUqaNyoLBGbCvZGZZCaZgXtjjMFmuyVjQgmZETGRhCSyAldDEjOCoyIxGVVFZtJ6JyJYeiMiqCwKMDOOqoorJKoSM2POoDL52Te9lxu/9RZ0z52P1MMffScFuDkgMicyo7I4cncQzHWCoLIwNyICSXhzcgYyUQVVhZkBoipZloWIwMzIDAoQIivJKEzC3SkKM2POgTCKIjNZloX9fk9rHaooAVVQBSZMTmaQmUiiqjAzjqqKqgIK90ZVkZUI8daffDc3vugWdPbOR+qTH30XICInktObk1WYiTkDKNwbY0yqEkn03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MDXOjeGGpjx0vhVIr4zDHrbDd9tuwbv2e7LX/Rva8+0Z2Wb8fpVS2YtwGTBI/A2ILSVx37VVcedlF3LTpIq644mJuunFOjpu49nvXk4KMEbfCdNWM1WtmtMn2bLN2F9btspbZmp3YYae7ssOOu+JeuAXjNmaS+DkQtw3jdvZ/AXEFZUbrf2AhAAAAAElFTkSuQmCC\",\"boxArea\":\"387.54\"},{\"id\":\"d3b212bf-88c0-4ec6-8986-b610416cb097\",\"width\":8.57,\"perimeter\":52.67,\"height\":8.84,\"area\":54.03,\"image\":\"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\",\"boxArea\":\"75.76\"},{\"id\":\"15d1c630-773f-40e4-9851-82864af2c2a3\",\"width\":8.3,\"perimeter\":44.79,\"height\":8.84,\"area\":41.72,\"image\":\"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\",\"boxArea\":\"73.37\"},{\"id\":\"3c2d5331-597f-40d9-82e8-92ca6991e739\",\"width\":8.84,\"perimeter\":33.34,\"height\":8.84,\"area\":31.5,\"image\":\"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\",\"boxArea\":\"78.15\"}]","mockupCreationType":"single","no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39"}},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: API Input Data Collected {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","sign_depth_or_thickness":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flat Backer","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null}},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Looking up SignType {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Retrieved Material Formulas {"data":{"sign_type_id":14,"formulas_count":24},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Retrieved Variables List {"data":{"sign_type_id":14,"variables_count":9},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Price Map Constructed {"data":{"price_map":{"material501803":3.6821,"weight_material501803":0.629,"material501880":2.4107,"weight_material501880":0.503,"material501060":2.2179,"weight_material501060":0.378,"material500730":2.7786,"weight_material500730":1.481,"material500591":0.9286,"weight_material500591":0.357,"material500611":0.0062,"weight_material500611":6.2e-6,"material500214":0.0025,"weight_material500214":2.5e-6,"material501055":0.0155,"weight_material501055":1.55e-5,"material502098":0.0286,"weight_material502098":2.86e-5,"material502079":0.0163,"weight_material502079":1.63e-5,"material502350":0.0254,"weight_material502350":2.54e-5,"material501680":0.0076,"weight_material501680":7.6e-6,"material502131":0.0271,"weight_material502131":2.71e-5,"material500379":0.132,"weight_material500379":0.09,"material500419":0.16,"weight_material500419":0.11,"material502106":0.13,"weight_material502106":0.16,"material502567":0.13,"weight_material502567":0.21,"material502564":0.18,"weight_material502564":0.35,"material500154":0.4,"weight_material500154":0.38,"material502074":0.8,"weight_material502074":1.0}},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Variables Price Constructed {"data":{"variables_price":{"variable82":0,"variable83":0.75,"variable84":1.1,"variable85":1.2,"variable86":0,"variable87":0,"variable88":0,"variable89":0,"variable90":0}},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Final Variables Merged {"data":{"variables_count":161},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Initialized items collection {"data":{"count":0},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Merged material items {"data":{"formulas_count":24,"items_count_after_merge":24},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Merged variable items {"data":{"variables_count":9,"items_count_after_merge":33},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Sorted items collection {"data":{"items_count":33,"first_item":{"type":"material","id":298,"expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, variable85 * nested_area * material501803, 0 )","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","var_name":"material501803","price":"3.6821","description":"Aluminium sheet 0.098\" – Durable, corrosion-resistant, suitable for both indoor and outdoor channel letter faces.","sequence_no":1},"last_item":{"type":"variable","id":90,"expression":"totalCost * variable84","dense_weight_expression":"totalDenseWeight  * 1.1","name":"Total Cost","var_name":"variable90","price":null,"description":null,"sequence_no":33}},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Initializing MathExecutor {"data":{"variables_count":161},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: MathExecutor variables set {"data":{"variables_count":161},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, variable85 * nested_area * material501803, 0 )","result":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches, weight_material501880 * occupied_area, 0 )","itemDenseWeight":"4.39119"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches, variable85 * nested_area * material501880, 0 )","result":"48.5707836"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, 0, weight_material501060 * ( sign_depth_or_thickness / 12 * perimeter_of_sign )  )","itemDenseWeight":"1.746045"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, 0, material501060 * variable85 * ( sign_depth_or_thickness / 12 * perimeter_of_sign )  )","result":"12.2938197"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, occupied_area * weight_material500730 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, variable85 * nested_area * material500730, 0 )","result":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * weight_material500591 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, variable85 * ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * material500591, 0 )","result":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: No formula, default result applied {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight":0,"result":0},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Epoxy Primer Pakistan","dense_weight_expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * weight_material500611","itemDenseWeight":0.004423515494200001},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Primer Pakistan","expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * material500611","result":4.4235154942},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Master Thinner Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * weight_material500214","itemDenseWeight":0.00035133004291666676},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"Master Thinner Pakistan","expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * material500214","result":0.35133004291666675},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Epoxy Hardner Master Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * weight_material501055","itemDenseWeight":0.0033511481016666677},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Hardner Master Pakistan","expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * material501055","result":3.3511481016666673},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * weight_material502098 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * material502098, 0 )","result":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * weight_material502079 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * material502079, 0 )","result":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502350 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502350, 0 )","result":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * weight_material501680 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * material501680, 0 )","result":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * weight_material502098 )","itemDenseWeight":"0.0068874224466667"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * material502098 )","result":"6.8874224466667"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502131 )","itemDenseWeight":"0.00334268473"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502131 )","result":"3.34268473"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * weight_material502350 )","itemDenseWeight":"0.0044757086"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * material502350)","result":"4.4757086"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * weight_material501680 )","itemDenseWeight":"0.00035711690666667"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * material501680 )","result":"0.35711690666667"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"Paint Miscellaneous cost","expression":"0.2 * ( formula304 + formula305 + formula306 + formula307 + formula308 + formula309 + formula310 + formula311 + formula312 + formula313 + formula314 )","result":4.637785264423341},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"Packaging/Box Making","expression":"variable83 * nested_area","result":12.5925},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 5ply","dense_weight_expression":"if( ( width_of_sign > 0 || other_dimension_of_sign > 0 ) && width_of_sign <= 30 && other_dimension_of_sign <= 30, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500379 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 5ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 7Ply","dense_weight_expression":"if( ( width_of_sign > 30 || other_dimension_of_sign > 30 ) && width_of_sign <= 50 && other_dimension_of_sign <= 50, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500419 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 7Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight_expression":"if( ( width_of_sign > 50 || other_dimension_of_sign > 50 ) && width_of_sign <= 60 && other_dimension_of_sign <= 60, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material502106 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ) && width_of_sign <= 70 && other_dimension_of_sign <= 70, nested_area * 2 * weight_material502567 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight":"0","result":0},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight_expression":"if( ( width_of_sign > 70 || other_dimension_of_sign > 70 ) && width_of_sign <= 90 && other_dimension_of_sign <= 90, nested_area * 2 * weight_material502564 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight":"0","result":0},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight_expression":"if( ( width_of_sign > 90 || other_dimension_of_sign > 90 ), nested_area * weight_material500154 * 2, 0 )","itemDenseWeight":"12.7604"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight":"12.7604","result":0},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Wood Lar 9''x132''","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ), 4 * sqrt(nested_area) * (  ( sign_depth_or_thickness + 2 ) / 12 ) * weight_material502074 , 0 )","itemDenseWeight":"4.0975602497096"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: No formula, default result applied {"data":{"name":"Wood Lar 9''x132''","dense_weight":"4.0975602497096","result":0},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: No formula, default result applied {"data":{"name":"Miscalleneous (10%)","dense_weight":0,"result":0},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: No formula, default result applied {"data":{"name":"Where Wastage magnification factor for Sheets consumption is taken as","dense_weight":0,"result":0},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"Flush/Stud Mount","expression":"if(mounting_type == mounting_type_flush_stud_mounted, 1, 0 )","result":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Standard Raceway (6x2)","dense_weight_expression":"if(mounting_type == mounting_type_standard_raceway_6x2, (  (  (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_height * 2 ) + ( raceway_height * raceway_depth * 2 ) + (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_depth * 2 )  ) / 144 ) * weight_material501803 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"Standard Raceway (6x2)","expression":"if(mounting_type == mounting_type_standard_raceway_6x2, variable85 * (  ( material501803 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  ) + ( 2.7 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Flat Backer (2.5 mm)","dense_weight_expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) / 144 * weight_material501803 , 0 )","itemDenseWeight":"19.710239166667"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"Flat Backer (2.5 mm)","expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, variable85 * (  ( material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2.7 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  )  ), 0 )","result":"239.9861063"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Dense weight computed {"data":{"name":"Backerboard Cabinet (2\")","dense_weight_expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, (  ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  ) + ( 2 * (  ( other_dimension_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  )  ) / 144 * weight_material501803, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula executed successfully {"data":{"name":"Backerboard Cabinet (2\")","expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, variable85 * (  (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * material501803 / 144 ) + (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * 2.7 / 144 )  ), 0 )","result":"0"},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Total Cost formula detected {"data":{"item_id":90},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Formula calculations completed {"data":{"total_items":33,"successful_calculations":32,"errors_count":0},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Summed initial totals {"data":{"totalCost_before_formula":341.26992118654005,"totalDenseWeight_before_formula":42.72862334269872},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Total Cost formula executed {"data":{"formula":"totalCost * variable84","computed_totalCost":375.39691330519406},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Total Dense Weight formula executed {"data":{"formula":"totalDenseWeight  * 1.1","computed_totalDenseWeight":47.00148567696859},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Total Cost result added to calculationsResults {"data":{"variable_id":90,"result":375.39691330519406,"dense_weight_expression":47.00148567696859},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Preparing boxes for bin packing {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","objects_count":8,"totalDenseWeight":0},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:54] local.INFO: Box added for flat backer 2.5mm mounting {"data":{"length":3.5,"width":124,"height":36.39,"denseWeight":0},"timestamp":"2026-01-29 05:51:54"} 
[2026-01-29 05:51:55] local.INFO: Shipping rates calculated {"data":{"boxes":[{"size":{"length":3.5,"width":124,"height":36.39},"quantity":1,"denseWeight":1}],"cheapestShippingCost":517.4798749999999,"rawShippingRates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":83.2,"rate":658.87,"tariffAndDS":742.07,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":1183.1139569999998,"totalShipmentCostFormula":"((tariffAndDS (742.07) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 1183.11","warnings":["DHL Not Available (Width exceeds 148 cm)"]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":83.2,"rate":373.8,"tariffAndDS":457,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":754.0550999999998,"totalShipmentCostFormula":"((tariffAndDS (457) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 754.06","warnings":["DHL Not Available (Width exceeds 148 cm)"]},{"career":"fedex","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":52,"rate":489.83,"tariffAndDS":541.8299999999999,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":832.7927099999998,"totalShipmentCostFormula":"(( tariffAndDS (541.83) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 832.79271","warnings":["FedEx Not Available (Width exceeds 150 cm)"]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":83.2,"rate":"479.70","tariffAndDS":562.9,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":606.9,"totalShipmentCostFormula":"(((tariffAndDS (562.9) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 606.9","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":0,"rate":326.09999999999997,"tariffAndDS":326.09999999999997,"fuelSurcharge":"0.3250","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":517.4798749999999,"totalShipmentCostFormula":"(((tariffAndDS (326.1) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3250)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 517.479875","warnings":["UPS Not Available (Width exceeds 220 cm)","Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":0,"rate":970,"tariffAndDS":970,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":970,"totalShipmentCostFormula":"((tariffAndDS (970) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 970"}]}},"timestamp":"2026-01-29 05:51:55"} 
[2026-01-29 05:51:55] local.INFO: Product cost factor determined {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","productCostFactor":1.66},"timestamp":"2026-01-29 05:51:55"} 
[2026-01-29 05:51:55] local.INFO: Final API Response {"data":{"sign_width":"120","sign_height":"32.39","sign_depth":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","processed_sign_type":"Fabricated Channel Letters - Non Illuminated","sideViewImage":"https://api.signize.ai/mockups/flat-aluminum-backer/fabricated-channel-letters-non-illuminated-with-2d-backer.png","mounting_type":"Flat Backer","combined_production_cost_usd":380.0,"total_production_cost":630.0,"totalDenseWeight":0,"totalVolumetricWeight":52,"bin_packing_result":[],"shipping_rates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":83.2,"rate":658.87,"tariffAndDS":742.07,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":1183.1139569999998,"totalShipmentCostFormula":"((tariffAndDS (742.07) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 1183.11","warnings":["DHL Not Available (Width exceeds 148 cm)"]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":83.2,"rate":373.8,"tariffAndDS":457,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":754.0550999999998,"totalShipmentCostFormula":"((tariffAndDS (457) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 754.06","warnings":["DHL Not Available (Width exceeds 148 cm)"]},{"career":"fedex","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":52,"rate":489.83,"tariffAndDS":541.8299999999999,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":832.7927099999998,"totalShipmentCostFormula":"(( tariffAndDS (541.83) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 832.79271","warnings":["FedEx Not Available (Width exceeds 150 cm)"]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":83.2,"rate":"479.70","tariffAndDS":562.9,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":606.9,"totalShipmentCostFormula":"(((tariffAndDS (562.9) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 606.9","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":0,"rate":326.09999999999997,"tariffAndDS":326.09999999999997,"fuelSurcharge":"0.3250","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":517.4798749999999,"totalShipmentCostFormula":"(((tariffAndDS (326.1) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3250)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 517.479875","warnings":["UPS Not Available (Width exceeds 220 cm)","Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":0,"rate":970,"tariffAndDS":970,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":970,"totalShipmentCostFormula":"((tariffAndDS (970) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 970"}]},"cheapest_shipping_cost_usd":520.0,"totalCost":1150.0,"productionResults":[{"material_id":298,"dense_weight_expression":0,"result":"0","sign_material":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","description":null,"sequence_no":1},{"material_id":299,"dense_weight_expression":4.39119,"result":"48.5707836","sign_material":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","description":"Aluminium sheet 0.079\" – Lightweight yet rigid, ideal for medium-sized channel letter faces.","sequence_no":2},{"material_id":300,"dense_weight_expression":1.746045,"result":"12.2938197","sign_material":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","description":"Aluminium sheet 0.059\" – Flexible and easy to bend, ideal for channel letter returns.","sequence_no":3},{"material_id":301,"dense_weight_expression":0,"result":"0","sign_material":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","description":null,"sequence_no":4},{"material_id":302,"dense_weight_expression":0,"result":"0","sign_material":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","description":null,"sequence_no":5},{"material_id":303,"dense_weight_expression":0,"result":0,"sign_material":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","description":null,"sequence_no":6},{"material_id":304,"dense_weight_expression":0.004423515494200001,"result":4.4235154942,"sign_material":"Epoxy Primer Pakistan","description":null,"sequence_no":7},{"material_id":305,"dense_weight_expression":0.00035133004291666676,"result":0.35133004291666675,"sign_material":"Master Thinner Pakistan","description":null,"sequence_no":8},{"material_id":306,"dense_weight_expression":0.0033511481016666677,"result":3.3511481016666673,"sign_material":"Epoxy Hardner Master Pakistan","description":null,"sequence_no":9},{"material_id":307,"dense_weight_expression":0,"result":"0","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":10},{"material_id":308,"dense_weight_expression":0,"result":"0","sign_material":"Matting Agent (P565-554) 1L Nexa Pakistan","description":null,"sequence_no":11},{"material_id":309,"dense_weight_expression":0,"result":"0","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":12},{"material_id":310,"dense_weight_expression":0,"result":"0","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":13},{"material_id":311,"dense_weight_expression":0.0068874224466667,"result":"6.8874224466667","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":14},{"material_id":312,"dense_weight_expression":0.00334268473,"result":"3.34268473","sign_material":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","description":"High Quality Gloss / Satin Paint – PU or solvent-based, gloss (70+ GU) or satin (30–50 GU) sheen.","sequence_no":15},{"material_id":313,"dense_weight_expression":0.0044757086,"result":"4.4757086","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":16},{"material_id":314,"dense_weight_expression":0.00035711690666667,"result":"0.35711690666667","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":17},{"variable_id":82,"dense_weight_expression":0,"result":4.637785264423341,"sign_material":"Paint Miscellaneous cost","description":null,"sequence_no":18},{"variable_id":83,"dense_weight_expression":0,"result":12.5925,"sign_material":"Packaging/Box Making","description":"Custom Packaging with 3–5 ply corrugated boxes with inner foam/styro and stretch wrap.","sequence_no":19},{"material_id":526,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 5ply","description":null,"sequence_no":20},{"material_id":527,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 7Ply","description":null,"sequence_no":21},{"material_id":528,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 9 Ply","description":null,"sequence_no":22},{"material_id":529,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 5mm 3 Core 4*8","description":null,"sequence_no":23},{"material_id":530,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 7mm 4 Core","description":null,"sequence_no":24},{"material_id":531,"dense_weight_expression":12.7604,"result":0,"sign_material":"Plywood Sheet 8*4 Mersawa 6 core 9MM","description":null,"sequence_no":25},{"material_id":532,"dense_weight_expression":4.0975602497096,"result":0,"sign_material":"Wood Lar 9''x132''","description":null,"sequence_no":26},{"variable_id":84,"dense_weight_expression":0,"result":0,"sign_material":"Miscalleneous (10%)","description":null,"sequence_no":27},{"variable_id":85,"dense_weight_expression":0,"result":0,"sign_material":"Where Wastage magnification factor for Sheets consumption is taken as","description":null,"sequence_no":28},{"variable_id":86,"dense_weight_expression":0,"result":"0","sign_material":"Flush/Stud Mount","description":null,"sequence_no":29},{"variable_id":87,"dense_weight_expression":0,"result":"0","sign_material":"Standard Raceway (6x2)","description":null,"sequence_no":30},{"variable_id":88,"dense_weight_expression":19.710239166667,"result":"239.9861063","sign_material":"Flat Backer (2.5 mm)","description":"Sign to be Mounted onto 2mm Aluminum Backer","sequence_no":31},{"variable_id":89,"dense_weight_expression":0,"result":"0","sign_material":"Backerboard Cabinet (2\")","description":null,"sequence_no":32},{"variable_id":90,"dense_weight_expression":47.00148567696859,"result":375.39691330519406,"sign_material":"Total Cost","description":null,"sequence_no":33}],"productionError":[],"request":{"sign_width_or_height":"120","sign_depth_or_thickness":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flat Backer","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null},"TATDays":21,"testDenseWeight":47.00148567696859},"timestamp":"2026-01-29 05:51:55"} 
[2026-01-29 05:51:55] local.INFO: API Epic Craftings Calculation Ended ======================================================================================================== {"data":null,"timestamp":"2026-01-29 05:51:55"} 
[2026-01-29 05:51:56] local.INFO: API B2 Sign Calculation Started ======================================================================================================== {"data":null,"timestamp":"2026-01-29 05:51:56"} 
[2026-01-29 05:51:56] local.INFO: Incoming Request {"data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated","sign_depth":1,"mounting_type":"Flat Backer","sign_height":32.39,"sign_width":"120","dimensions":[{"id":"25eec6b4-0a84-4f85-b84a-84b0c1570980","height":20.09,"width":23.84},{"id":"7ba04a5c-1065-4e54-969d-665f3edb60f2","height":19.02,"width":35.89},{"id":"6306efb8-6eef-4158-81aa-f4efa7de892b","height":19.02,"width":16.34},{"id":"15e939d3-2c71-4b6b-a89b-3a21c1af11e6","height":19.02,"width":17.41},{"id":"39e4a5a8-8364-42cb-939a-8d9aeb36a89a","height":20.09,"width":19.29},{"id":"d3b212bf-88c0-4ec6-8986-b610416cb097","height":8.84,"width":8.57},{"id":"15d1c630-773f-40e4-9851-82864af2c2a3","height":8.84,"width":8.3},{"id":"3c2d5331-597f-40d9-82e8-92ca6991e739","height":8.84,"width":8.84}]},"timestamp":"2026-01-29 05:51:56"} 
[2026-01-29 05:51:56] local.INFO: Validating Request Payload {"data":[],"timestamp":"2026-01-29 05:51:56"} 
[2026-01-29 05:51:56] local.INFO: Request Validation Successful {"data":{"validated_data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated","sign_depth":1,"mounting_type":"Flat Backer","sign_height":32.39,"sign_width":"120","dimensions":[{"id":"25eec6b4-0a84-4f85-b84a-84b0c1570980","height":20.09,"width":23.84},{"id":"7ba04a5c-1065-4e54-969d-665f3edb60f2","height":19.02,"width":35.89},{"id":"6306efb8-6eef-4158-81aa-f4efa7de892b","height":19.02,"width":16.34},{"id":"15e939d3-2c71-4b6b-a89b-3a21c1af11e6","height":19.02,"width":17.41},{"id":"39e4a5a8-8364-42cb-939a-8d9aeb36a89a","height":20.09,"width":19.29},{"id":"d3b212bf-88c0-4ec6-8986-b610416cb097","height":8.84,"width":8.57},{"id":"15d1c630-773f-40e4-9851-82864af2c2a3","height":8.84,"width":8.3},{"id":"3c2d5331-597f-40d9-82e8-92ca6991e739","height":8.84,"width":8.84}]}},"timestamp":"2026-01-29 05:51:56"} 
[2026-01-29 05:51:56] local.INFO: Fetching Sign Type {"data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated"},"timestamp":"2026-01-29 05:51:56"} 
[2026-01-29 05:51:56] local.INFO: Sign Type Query Result {"data":{"found":true,"sign_type_id":14},"timestamp":"2026-01-29 05:51:56"} 
[2026-01-29 05:51:56] local.ERROR: Mounting Type Not Found {"data":{"mounting_type":"Flat Backer"},"timestamp":"2026-01-29 05:51:56"} 
[2026-01-29 05:51:57] local.INFO: USA Workshop Calculation API Started {"data":{"request":{"sign_type":"Fabricated Channel Letters - Non Illuminated","sign_depth":1,"mounting_type":"Flat Backer","sign_height":32.39,"sign_width":"120","shipping_weight":52,"shape":"rectangular","dimensions":[{"id":"25eec6b4-0a84-4f85-b84a-84b0c1570980","height":20.09,"width":23.84},{"id":"7ba04a5c-1065-4e54-969d-665f3edb60f2","height":19.02,"width":35.89},{"id":"6306efb8-6eef-4158-81aa-f4efa7de892b","height":19.02,"width":16.34},{"id":"15e939d3-2c71-4b6b-a89b-3a21c1af11e6","height":19.02,"width":17.41},{"id":"39e4a5a8-8364-42cb-939a-8d9aeb36a89a","height":20.09,"width":19.29},{"id":"d3b212bf-88c0-4ec6-8986-b610416cb097","height":8.84,"width":8.57},{"id":"15d1c630-773f-40e4-9851-82864af2c2a3","height":8.84,"width":8.3},{"id":"3c2d5331-597f-40d9-82e8-92ca6991e739","height":8.84,"width":8.84}]}},"timestamp":"2026-01-29 05:51:57"} 
[2026-01-29 05:51:57] local.INFO: Validation Passed {"data":[],"timestamp":"2026-01-29 05:51:57"} 
[2026-01-29 05:51:57] local.INFO: Input Parameters {"data":{"dimensions_count":8,"shape":"rectangular"},"timestamp":"2026-01-29 05:51:57"} 
[2026-01-29 05:51:57] local.INFO: Resolved Default Data {"data":{"sign_type_map":{"sign_type_halo_lit_letters":"Halo Lit Channel Letters","sign_type_face_lit_letters":"Premium Face-Lit Letters (Metallic Trim)","sign_type_face_and_halo_lit_letters":"Face & Halo Lit Channel Letters","sign_type_single_sided_lightbox":"Fabricated Lightbox - Single Sided","sign_type_double_sided_lightbox":"Fabricated Blade Sign -  Illuminated/Double Sided","sign_type_flat_cut_acrylic_letters":"Flat Cut Acrylic Letters","sign_type_flat_cut_aluminum_letters":"Flat Cut Aluminum Letters","sign_type_single_sided_push_through":"Fabricated Push Through - Single Sided","sign_type_fabricated_letters_non_lit":"Fabricated Channel Letters - Non Illuminated","sign_type_2d_blade_sign":"Flat Blade Sign","sign_type_3d_blade_sign":"Fabricated Blade Sign - Non Illuminated / Double Sided","sign_type_neon_sign":"Neon Sign","sign_type_marquee_channel_letters":"Marquee Channel Letters","sign_type_open_face_neon_channel_letters":"Open Face Neon Channel Letters","sign_type_mirror_infinity_channel_letters":"Mirror Infinity Channel Letters","sign_type_metal_on_acrylic":"Flat Cut Acrylic with Metal Pasting","sign_type_neon_acrylic_sign":"Neon Acrylic Sign","sign_type_double_sided_push_through_cabinet":"Double Sided Push Through Cabinet","sign_type_standard_face_lit_plastic_trim_letters":"Standard Face Lit Letters (Plastic Trim)","mounting_type_flush_stud_mounted":"Flush/Stud mounted","mounting_type_standard_raceway_6x2":"Standard Raceway","mounting_type_flat_backer_2_5_mm":"Flat Backer","mounting_type_backerboard_cabinet_2_inch":"Backerboard Cabinet","avg_char_height_less_than_24_inches":"Less than 24 inches","avg_char_height_greater_than_24_inches":"Greater than 24 inches","raceway_height_6":"6","raceway_height_8":"8","raceway_height_10":"10","raceway_height_12":"12","raceway_depth_2":"2","raceway_depth_3":"3","raceway_depth_4":"4","raceway_depth_5":"5","raceway_depth_6":"6","raceway_depth_7":"7","raceway_depth_8":"8","backboard_cabinet_depth_2":"2","backboard_cabinet_depth_3":"3","backboard_cabinet_depth_4":"4","backboard_cabinet_depth_5":"5","backboard_cabinet_depth_6":"6","backboard_cabinet_depth_7":"7","backboard_cabinet_depth_8":"8","material_aluminium":"Aluminium","material_stainless_steel":"Stainless Steel","application_exterior":"Exterior","application_interior":"Interior","ul_mandatory_yes":"Yes","ul_mandatory_no":"No","paint_finish_gloss_satin":"Gloss/Satin","paint_finish_matte":"Matte","neon_color_simple":"Simple","neon_color_rgb":"RGB","uv_printing_needed_yes":"Yes","uv_printing_needed_no":"No","trim_type_trimless":"Trimless","trim_type_with_trim":"With Trim","fabricated_finish_original_colors_matt":"Original Colors Matt","fabricated_finish_original_colors_gloss":"Original Colors Gloss","fabricated_finish_silver_mirror":"Silver Mirror","fabricated_finish_silver_brushed":"Silver Brushed","fabricated_finish_golden_mirror":"Golden Mirror","fabricated_finish_golden_brushed":"Golden Brushed","fabricated_finish_bronze_mirror":"Bronze Mirror","fabricated_finish_bronze_brushed":"Bronze Brushed","fabricated_finish_bronze_antique":"Bronze Antique","lightbox_type_light_box":"Lightbox","lightbox_type_cut_to_shape":"Cut to shape Lightbox","return_color_black":"Black","return_color_white":"White","return_color_blue":"Blue","return_color_brown":"Brown","return_color_yellow":"Yellow","return_color_teal":"Teal","return_color_orange":"Orange","return_color_golden_brushed":"Gold Brushed","return_color_match_logo":"Match Logo (Default)","shape_rectangular":"Rectangular","shape_cut_to_shape":"Cut to shape","shape_round":"Round"}},"timestamp":"2026-01-29 05:51:57"} 
[2026-01-29 05:51:57] local.INFO: Sign Type Lookup {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","found":true,"sign_type_id":14},"timestamp":"2026-01-29 05:51:57"} 
[2026-01-29 05:51:57] local.ERROR: Mounting Type Not Found {"data":{"mounting_type":"Flat Backer"},"timestamp":"2026-01-29 05:51:57"} 
[2026-01-29 05:54:06] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_depth":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flat Backer","quotationId":"530","neon_color":null,"uv_printing_needed":null,"objects":"[{\"id\":\"25eec6b4-0a84-4f85-b84a-84b0c1570980\",\"width\":23.84,\"perimeter\":111.77,\"height\":20.09,\"area\":305,\"image\":\"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\",\"boxArea\":\"478.95\"},{\"id\":\"7ba04a5c-1065-4e54-969d-665f3edb60f2\",\"width\":35.89,\"perimeter\":134.83,\"height\":19.02,\"area\":314.58,\"image\":\"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MDXOjeGGpjx0vhVIr4zDHrbDd9tuwbv2e7LX/Rva8+0Z2Wb8fpVS2YtwGTBI/A2ILSVx37VVcedlF3LTpIq644mJuunFOjpu49nvXk4KMEbfCdNWM1WtmtMn2bLN2F9btspbZmp3YYae7ssOOu+JeuAXjNmaS+DkQtw3jdvZ/AXEFZUbrf2AhAAAAAElFTkSuQmCC\",\"boxArea\":\"387.54\"},{\"id\":\"d3b212bf-88c0-4ec6-8986-b610416cb097\",\"width\":8.57,\"perimeter\":52.67,\"height\":8.84,\"area\":54.03,\"image\":\"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\",\"boxArea\":\"75.76\"},{\"id\":\"15d1c630-773f-40e4-9851-82864af2c2a3\",\"width\":8.3,\"perimeter\":44.79,\"height\":8.84,\"area\":41.72,\"image\":\"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\",\"boxArea\":\"73.37\"},{\"id\":\"3c2d5331-597f-40d9-82e8-92ca6991e739\",\"width\":8.84,\"perimeter\":33.34,\"height\":8.84,\"area\":31.5,\"image\":\"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\",\"boxArea\":\"78.15\"}]","mockupCreationType":"single","no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39"}},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: API Input Data Collected {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","sign_depth_or_thickness":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flat Backer","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null}},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Looking up SignType {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Retrieved Material Formulas {"data":{"sign_type_id":14,"formulas_count":24},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Retrieved Variables List {"data":{"sign_type_id":14,"variables_count":9},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Price Map Constructed {"data":{"price_map":{"material501803":3.6821,"weight_material501803":0.629,"material501880":2.4107,"weight_material501880":0.503,"material501060":2.2179,"weight_material501060":0.378,"material500730":2.7786,"weight_material500730":1.481,"material500591":0.9286,"weight_material500591":0.357,"material500611":0.0062,"weight_material500611":6.2e-6,"material500214":0.0025,"weight_material500214":2.5e-6,"material501055":0.0155,"weight_material501055":1.55e-5,"material502098":0.0286,"weight_material502098":2.86e-5,"material502079":0.0163,"weight_material502079":1.63e-5,"material502350":0.0254,"weight_material502350":2.54e-5,"material501680":0.0076,"weight_material501680":7.6e-6,"material502131":0.0271,"weight_material502131":2.71e-5,"material500379":0.132,"weight_material500379":0.09,"material500419":0.16,"weight_material500419":0.11,"material502106":0.13,"weight_material502106":0.16,"material502567":0.13,"weight_material502567":0.21,"material502564":0.18,"weight_material502564":0.35,"material500154":0.4,"weight_material500154":0.38,"material502074":0.8,"weight_material502074":1.0}},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Variables Price Constructed {"data":{"variables_price":{"variable82":0,"variable83":0.75,"variable84":1.1,"variable85":1.2,"variable86":0,"variable87":0,"variable88":0,"variable89":0,"variable90":0}},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Final Variables Merged {"data":{"variables_count":161},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Initialized items collection {"data":{"count":0},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Merged material items {"data":{"formulas_count":24,"items_count_after_merge":24},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Merged variable items {"data":{"variables_count":9,"items_count_after_merge":33},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Sorted items collection {"data":{"items_count":33,"first_item":{"type":"material","id":298,"expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, variable85 * nested_area * material501803, 0 )","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","var_name":"material501803","price":"3.6821","description":"Aluminium sheet 0.098\" – Durable, corrosion-resistant, suitable for both indoor and outdoor channel letter faces.","sequence_no":1},"last_item":{"type":"variable","id":90,"expression":"totalCost * variable84","dense_weight_expression":"totalDenseWeight  * 1.1","name":"Total Cost","var_name":"variable90","price":null,"description":null,"sequence_no":33}},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Initializing MathExecutor {"data":{"variables_count":161},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: MathExecutor variables set {"data":{"variables_count":161},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, variable85 * nested_area * material501803, 0 )","result":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches, weight_material501880 * occupied_area, 0 )","itemDenseWeight":"4.39119"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches, variable85 * nested_area * material501880, 0 )","result":"48.5707836"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, 0, weight_material501060 * ( sign_depth_or_thickness / 12 * perimeter_of_sign )  )","itemDenseWeight":"1.746045"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, 0, material501060 * variable85 * ( sign_depth_or_thickness / 12 * perimeter_of_sign )  )","result":"12.2938197"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, occupied_area * weight_material500730 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, variable85 * nested_area * material500730, 0 )","result":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * weight_material500591 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, variable85 * ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * material500591, 0 )","result":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: No formula, default result applied {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight":0,"result":0},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Epoxy Primer Pakistan","dense_weight_expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * weight_material500611","itemDenseWeight":0.004423515494200001},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Primer Pakistan","expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * material500611","result":4.4235154942},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Master Thinner Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * weight_material500214","itemDenseWeight":0.00035133004291666676},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"Master Thinner Pakistan","expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * material500214","result":0.35133004291666675},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Epoxy Hardner Master Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * weight_material501055","itemDenseWeight":0.0033511481016666677},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Hardner Master Pakistan","expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * material501055","result":3.3511481016666673},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * weight_material502098 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * material502098, 0 )","result":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * weight_material502079 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * material502079, 0 )","result":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502350 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502350, 0 )","result":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * weight_material501680 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * material501680, 0 )","result":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * weight_material502098 )","itemDenseWeight":"0.0068874224466667"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * material502098 )","result":"6.8874224466667"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502131 )","itemDenseWeight":"0.00334268473"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502131 )","result":"3.34268473"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * weight_material502350 )","itemDenseWeight":"0.0044757086"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * material502350)","result":"4.4757086"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * weight_material501680 )","itemDenseWeight":"0.00035711690666667"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * material501680 )","result":"0.35711690666667"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"Paint Miscellaneous cost","expression":"0.2 * ( formula304 + formula305 + formula306 + formula307 + formula308 + formula309 + formula310 + formula311 + formula312 + formula313 + formula314 )","result":4.637785264423341},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"Packaging/Box Making","expression":"variable83 * nested_area","result":12.5925},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 5ply","dense_weight_expression":"if( ( width_of_sign > 0 || other_dimension_of_sign > 0 ) && width_of_sign <= 30 && other_dimension_of_sign <= 30, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500379 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 5ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 7Ply","dense_weight_expression":"if( ( width_of_sign > 30 || other_dimension_of_sign > 30 ) && width_of_sign <= 50 && other_dimension_of_sign <= 50, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500419 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 7Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight_expression":"if( ( width_of_sign > 50 || other_dimension_of_sign > 50 ) && width_of_sign <= 60 && other_dimension_of_sign <= 60, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material502106 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ) && width_of_sign <= 70 && other_dimension_of_sign <= 70, nested_area * 2 * weight_material502567 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight":"0","result":0},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight_expression":"if( ( width_of_sign > 70 || other_dimension_of_sign > 70 ) && width_of_sign <= 90 && other_dimension_of_sign <= 90, nested_area * 2 * weight_material502564 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight":"0","result":0},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight_expression":"if( ( width_of_sign > 90 || other_dimension_of_sign > 90 ), nested_area * weight_material500154 * 2, 0 )","itemDenseWeight":"12.7604"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight":"12.7604","result":0},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Wood Lar 9''x132''","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ), 4 * sqrt(nested_area) * (  ( sign_depth_or_thickness + 2 ) / 12 ) * weight_material502074 , 0 )","itemDenseWeight":"4.0975602497096"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: No formula, default result applied {"data":{"name":"Wood Lar 9''x132''","dense_weight":"4.0975602497096","result":0},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: No formula, default result applied {"data":{"name":"Miscalleneous (10%)","dense_weight":0,"result":0},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: No formula, default result applied {"data":{"name":"Where Wastage magnification factor for Sheets consumption is taken as","dense_weight":0,"result":0},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"Flush/Stud Mount","expression":"if(mounting_type == mounting_type_flush_stud_mounted, 1, 0 )","result":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Standard Raceway (6x2)","dense_weight_expression":"if(mounting_type == mounting_type_standard_raceway_6x2, (  (  (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_height * 2 ) + ( raceway_height * raceway_depth * 2 ) + (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_depth * 2 )  ) / 144 ) * weight_material501803 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"Standard Raceway (6x2)","expression":"if(mounting_type == mounting_type_standard_raceway_6x2, variable85 * (  ( material501803 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  ) + ( 2.7 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Flat Backer (2.5 mm)","dense_weight_expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) / 144 * weight_material501803 , 0 )","itemDenseWeight":"19.710239166667"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"Flat Backer (2.5 mm)","expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, variable85 * (  ( material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2.7 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  )  ), 0 )","result":"239.9861063"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Dense weight computed {"data":{"name":"Backerboard Cabinet (2\")","dense_weight_expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, (  ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  ) + ( 2 * (  ( other_dimension_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  )  ) / 144 * weight_material501803, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula executed successfully {"data":{"name":"Backerboard Cabinet (2\")","expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, variable85 * (  (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * material501803 / 144 ) + (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * 2.7 / 144 )  ), 0 )","result":"0"},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Total Cost formula detected {"data":{"item_id":90},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Formula calculations completed {"data":{"total_items":33,"successful_calculations":32,"errors_count":0},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Summed initial totals {"data":{"totalCost_before_formula":341.26992118654005,"totalDenseWeight_before_formula":42.72862334269872},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Total Cost formula executed {"data":{"formula":"totalCost * variable84","computed_totalCost":375.39691330519406},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Total Dense Weight formula executed {"data":{"formula":"totalDenseWeight  * 1.1","computed_totalDenseWeight":47.00148567696859},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Total Cost result added to calculationsResults {"data":{"variable_id":90,"result":375.39691330519406,"dense_weight_expression":47.00148567696859},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Preparing boxes for bin packing {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","objects_count":8,"totalDenseWeight":0},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:06] local.INFO: Box added for flat backer 2.5mm mounting {"data":{"length":3.5,"width":124,"height":36.39,"denseWeight":0},"timestamp":"2026-01-29 05:54:06"} 
[2026-01-29 05:54:07] local.INFO: Shipping rates calculated {"data":{"boxes":[{"size":{"length":3.5,"width":124,"height":36.39},"quantity":1,"denseWeight":1}],"cheapestShippingCost":517.4798749999999,"rawShippingRates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":83.2,"rate":658.87,"tariffAndDS":742.07,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":1183.1139569999998,"totalShipmentCostFormula":"((tariffAndDS (742.07) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 1183.11","warnings":["DHL Not Available (Width exceeds 148 cm)"]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":83.2,"rate":373.8,"tariffAndDS":457,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":754.0550999999998,"totalShipmentCostFormula":"((tariffAndDS (457) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 754.06","warnings":["DHL Not Available (Width exceeds 148 cm)"]},{"career":"fedex","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":52,"rate":489.83,"tariffAndDS":541.8299999999999,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":832.7927099999998,"totalShipmentCostFormula":"(( tariffAndDS (541.83) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 832.79271","warnings":["FedEx Not Available (Width exceeds 150 cm)"]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":83.2,"rate":"479.70","tariffAndDS":562.9,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":606.9,"totalShipmentCostFormula":"(((tariffAndDS (562.9) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 606.9","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":0,"rate":326.09999999999997,"tariffAndDS":326.09999999999997,"fuelSurcharge":"0.3250","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":517.4798749999999,"totalShipmentCostFormula":"(((tariffAndDS (326.1) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3250)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 517.479875","warnings":["UPS Not Available (Width exceeds 220 cm)","Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":0,"rate":970,"tariffAndDS":970,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":970,"totalShipmentCostFormula":"((tariffAndDS (970) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 970"}]}},"timestamp":"2026-01-29 05:54:07"} 
[2026-01-29 05:54:07] local.INFO: Product cost factor determined {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","productCostFactor":1.66},"timestamp":"2026-01-29 05:54:07"} 
[2026-01-29 05:54:07] local.INFO: Final API Response {"data":{"sign_width":"120","sign_height":"32.39","sign_depth":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","processed_sign_type":"Fabricated Channel Letters - Non Illuminated","sideViewImage":"https://api.signize.ai/mockups/flat-aluminum-backer/fabricated-channel-letters-non-illuminated-with-2d-backer.png","mounting_type":"Flat Backer","combined_production_cost_usd":380.0,"total_production_cost":630.0,"totalDenseWeight":0,"totalVolumetricWeight":52,"bin_packing_result":[],"shipping_rates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":83.2,"rate":658.87,"tariffAndDS":742.07,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":1183.1139569999998,"totalShipmentCostFormula":"((tariffAndDS (742.07) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 1183.11","warnings":["DHL Not Available (Width exceeds 148 cm)"]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":83.2,"rate":373.8,"tariffAndDS":457,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":754.0550999999998,"totalShipmentCostFormula":"((tariffAndDS (457) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 754.06","warnings":["DHL Not Available (Width exceeds 148 cm)"]},{"career":"fedex","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":52,"rate":489.83,"tariffAndDS":541.8299999999999,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":832.7927099999998,"totalShipmentCostFormula":"(( tariffAndDS (541.83) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 832.79271","warnings":["FedEx Not Available (Width exceeds 150 cm)"]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":83.2,"rate":"479.70","tariffAndDS":562.9,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":606.9,"totalShipmentCostFormula":"(((tariffAndDS (562.9) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 606.9","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":0,"rate":326.09999999999997,"tariffAndDS":326.09999999999997,"fuelSurcharge":"0.3250","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":517.4798749999999,"totalShipmentCostFormula":"(((tariffAndDS (326.1) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3250)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 517.479875","warnings":["UPS Not Available (Width exceeds 220 cm)","Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":3.5,"width":124,"height":36.39},"denseWeight":1,"volumetricWeight":52,"higherWeight":52,"quantity":1}],"totalHigherWeight":52,"DS":0,"rate":970,"tariffAndDS":970,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":970,"totalShipmentCostFormula":"((tariffAndDS (970) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 970"}]},"cheapest_shipping_cost_usd":520.0,"totalCost":1150.0,"productionResults":[{"material_id":298,"dense_weight_expression":0,"result":"0","sign_material":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","description":null,"sequence_no":1},{"material_id":299,"dense_weight_expression":4.39119,"result":"48.5707836","sign_material":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","description":"Aluminium sheet 0.079\" – Lightweight yet rigid, ideal for medium-sized channel letter faces.","sequence_no":2},{"material_id":300,"dense_weight_expression":1.746045,"result":"12.2938197","sign_material":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","description":"Aluminium sheet 0.059\" – Flexible and easy to bend, ideal for channel letter returns.","sequence_no":3},{"material_id":301,"dense_weight_expression":0,"result":"0","sign_material":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","description":null,"sequence_no":4},{"material_id":302,"dense_weight_expression":0,"result":"0","sign_material":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","description":null,"sequence_no":5},{"material_id":303,"dense_weight_expression":0,"result":0,"sign_material":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","description":null,"sequence_no":6},{"material_id":304,"dense_weight_expression":0.004423515494200001,"result":4.4235154942,"sign_material":"Epoxy Primer Pakistan","description":null,"sequence_no":7},{"material_id":305,"dense_weight_expression":0.00035133004291666676,"result":0.35133004291666675,"sign_material":"Master Thinner Pakistan","description":null,"sequence_no":8},{"material_id":306,"dense_weight_expression":0.0033511481016666677,"result":3.3511481016666673,"sign_material":"Epoxy Hardner Master Pakistan","description":null,"sequence_no":9},{"material_id":307,"dense_weight_expression":0,"result":"0","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":10},{"material_id":308,"dense_weight_expression":0,"result":"0","sign_material":"Matting Agent (P565-554) 1L Nexa Pakistan","description":null,"sequence_no":11},{"material_id":309,"dense_weight_expression":0,"result":"0","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":12},{"material_id":310,"dense_weight_expression":0,"result":"0","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":13},{"material_id":311,"dense_weight_expression":0.0068874224466667,"result":"6.8874224466667","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":14},{"material_id":312,"dense_weight_expression":0.00334268473,"result":"3.34268473","sign_material":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","description":"High Quality Gloss / Satin Paint – PU or solvent-based, gloss (70+ GU) or satin (30–50 GU) sheen.","sequence_no":15},{"material_id":313,"dense_weight_expression":0.0044757086,"result":"4.4757086","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":16},{"material_id":314,"dense_weight_expression":0.00035711690666667,"result":"0.35711690666667","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":17},{"variable_id":82,"dense_weight_expression":0,"result":4.637785264423341,"sign_material":"Paint Miscellaneous cost","description":null,"sequence_no":18},{"variable_id":83,"dense_weight_expression":0,"result":12.5925,"sign_material":"Packaging/Box Making","description":"Custom Packaging with 3–5 ply corrugated boxes with inner foam/styro and stretch wrap.","sequence_no":19},{"material_id":526,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 5ply","description":null,"sequence_no":20},{"material_id":527,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 7Ply","description":null,"sequence_no":21},{"material_id":528,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 9 Ply","description":null,"sequence_no":22},{"material_id":529,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 5mm 3 Core 4*8","description":null,"sequence_no":23},{"material_id":530,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 7mm 4 Core","description":null,"sequence_no":24},{"material_id":531,"dense_weight_expression":12.7604,"result":0,"sign_material":"Plywood Sheet 8*4 Mersawa 6 core 9MM","description":null,"sequence_no":25},{"material_id":532,"dense_weight_expression":4.0975602497096,"result":0,"sign_material":"Wood Lar 9''x132''","description":null,"sequence_no":26},{"variable_id":84,"dense_weight_expression":0,"result":0,"sign_material":"Miscalleneous (10%)","description":null,"sequence_no":27},{"variable_id":85,"dense_weight_expression":0,"result":0,"sign_material":"Where Wastage magnification factor for Sheets consumption is taken as","description":null,"sequence_no":28},{"variable_id":86,"dense_weight_expression":0,"result":"0","sign_material":"Flush/Stud Mount","description":null,"sequence_no":29},{"variable_id":87,"dense_weight_expression":0,"result":"0","sign_material":"Standard Raceway (6x2)","description":null,"sequence_no":30},{"variable_id":88,"dense_weight_expression":19.710239166667,"result":"239.9861063","sign_material":"Flat Backer (2.5 mm)","description":"Sign to be Mounted onto 2mm Aluminum Backer","sequence_no":31},{"variable_id":89,"dense_weight_expression":0,"result":"0","sign_material":"Backerboard Cabinet (2\")","description":null,"sequence_no":32},{"variable_id":90,"dense_weight_expression":47.00148567696859,"result":375.39691330519406,"sign_material":"Total Cost","description":null,"sequence_no":33}],"productionError":[],"request":{"sign_width_or_height":"120","sign_depth_or_thickness":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flat Backer","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null},"TATDays":21,"testDenseWeight":47.00148567696859},"timestamp":"2026-01-29 05:54:07"} 
[2026-01-29 05:54:07] local.INFO: API Epic Craftings Calculation Ended ======================================================================================================== {"data":null,"timestamp":"2026-01-29 05:54:07"} 
[2026-01-29 05:54:08] local.INFO: API B2 Sign Calculation Started ======================================================================================================== {"data":null,"timestamp":"2026-01-29 05:54:08"} 
[2026-01-29 05:54:08] local.INFO: Incoming Request {"data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated","sign_depth":1,"mounting_type":"Flat Backer","sign_height":32.39,"sign_width":"120","dimensions":[{"id":"25eec6b4-0a84-4f85-b84a-84b0c1570980","height":20.09,"width":23.84},{"id":"7ba04a5c-1065-4e54-969d-665f3edb60f2","height":19.02,"width":35.89},{"id":"6306efb8-6eef-4158-81aa-f4efa7de892b","height":19.02,"width":16.34},{"id":"15e939d3-2c71-4b6b-a89b-3a21c1af11e6","height":19.02,"width":17.41},{"id":"39e4a5a8-8364-42cb-939a-8d9aeb36a89a","height":20.09,"width":19.29},{"id":"d3b212bf-88c0-4ec6-8986-b610416cb097","height":8.84,"width":8.57},{"id":"15d1c630-773f-40e4-9851-82864af2c2a3","height":8.84,"width":8.3},{"id":"3c2d5331-597f-40d9-82e8-92ca6991e739","height":8.84,"width":8.84}]},"timestamp":"2026-01-29 05:54:08"} 
[2026-01-29 05:54:08] local.INFO: Validating Request Payload {"data":[],"timestamp":"2026-01-29 05:54:08"} 
[2026-01-29 05:54:08] local.INFO: Request Validation Successful {"data":{"validated_data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated","sign_depth":1,"mounting_type":"Flat Backer","sign_height":32.39,"sign_width":"120","dimensions":[{"id":"25eec6b4-0a84-4f85-b84a-84b0c1570980","height":20.09,"width":23.84},{"id":"7ba04a5c-1065-4e54-969d-665f3edb60f2","height":19.02,"width":35.89},{"id":"6306efb8-6eef-4158-81aa-f4efa7de892b","height":19.02,"width":16.34},{"id":"15e939d3-2c71-4b6b-a89b-3a21c1af11e6","height":19.02,"width":17.41},{"id":"39e4a5a8-8364-42cb-939a-8d9aeb36a89a","height":20.09,"width":19.29},{"id":"d3b212bf-88c0-4ec6-8986-b610416cb097","height":8.84,"width":8.57},{"id":"15d1c630-773f-40e4-9851-82864af2c2a3","height":8.84,"width":8.3},{"id":"3c2d5331-597f-40d9-82e8-92ca6991e739","height":8.84,"width":8.84}]}},"timestamp":"2026-01-29 05:54:08"} 
[2026-01-29 05:54:08] local.INFO: Fetching Sign Type {"data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated"},"timestamp":"2026-01-29 05:54:08"} 
[2026-01-29 05:54:08] local.INFO: Sign Type Query Result {"data":{"found":true,"sign_type_id":14},"timestamp":"2026-01-29 05:54:08"} 
[2026-01-29 05:54:08] local.ERROR: Mounting Type Not Found {"data":{"mounting_type":"Flat Backer"},"timestamp":"2026-01-29 05:54:08"} 
[2026-01-29 05:54:09] local.INFO: USA Workshop Calculation API Started {"data":{"request":{"sign_type":"Fabricated Channel Letters - Non Illuminated","sign_depth":1,"mounting_type":"Flat Backer","sign_height":32.39,"sign_width":"120","shipping_weight":52,"shape":"rectangular","dimensions":[{"id":"25eec6b4-0a84-4f85-b84a-84b0c1570980","height":20.09,"width":23.84},{"id":"7ba04a5c-1065-4e54-969d-665f3edb60f2","height":19.02,"width":35.89},{"id":"6306efb8-6eef-4158-81aa-f4efa7de892b","height":19.02,"width":16.34},{"id":"15e939d3-2c71-4b6b-a89b-3a21c1af11e6","height":19.02,"width":17.41},{"id":"39e4a5a8-8364-42cb-939a-8d9aeb36a89a","height":20.09,"width":19.29},{"id":"d3b212bf-88c0-4ec6-8986-b610416cb097","height":8.84,"width":8.57},{"id":"15d1c630-773f-40e4-9851-82864af2c2a3","height":8.84,"width":8.3},{"id":"3c2d5331-597f-40d9-82e8-92ca6991e739","height":8.84,"width":8.84}]}},"timestamp":"2026-01-29 05:54:09"} 
[2026-01-29 05:54:09] local.INFO: Validation Passed {"data":[],"timestamp":"2026-01-29 05:54:09"} 
[2026-01-29 05:54:09] local.INFO: Input Parameters {"data":{"dimensions_count":8,"shape":"rectangular"},"timestamp":"2026-01-29 05:54:09"} 
[2026-01-29 05:54:09] local.INFO: Resolved Default Data {"data":{"sign_type_map":{"sign_type_halo_lit_letters":"Halo Lit Channel Letters","sign_type_face_lit_letters":"Premium Face-Lit Letters (Metallic Trim)","sign_type_face_and_halo_lit_letters":"Face & Halo Lit Channel Letters","sign_type_single_sided_lightbox":"Fabricated Lightbox - Single Sided","sign_type_double_sided_lightbox":"Fabricated Blade Sign -  Illuminated/Double Sided","sign_type_flat_cut_acrylic_letters":"Flat Cut Acrylic Letters","sign_type_flat_cut_aluminum_letters":"Flat Cut Aluminum Letters","sign_type_single_sided_push_through":"Fabricated Push Through - Single Sided","sign_type_fabricated_letters_non_lit":"Fabricated Channel Letters - Non Illuminated","sign_type_2d_blade_sign":"Flat Blade Sign","sign_type_3d_blade_sign":"Fabricated Blade Sign - Non Illuminated / Double Sided","sign_type_neon_sign":"Neon Sign","sign_type_marquee_channel_letters":"Marquee Channel Letters","sign_type_open_face_neon_channel_letters":"Open Face Neon Channel Letters","sign_type_mirror_infinity_channel_letters":"Mirror Infinity Channel Letters","sign_type_metal_on_acrylic":"Flat Cut Acrylic with Metal Pasting","sign_type_neon_acrylic_sign":"Neon Acrylic Sign","sign_type_double_sided_push_through_cabinet":"Double Sided Push Through Cabinet","sign_type_standard_face_lit_plastic_trim_letters":"Standard Face Lit Letters (Plastic Trim)","mounting_type_flush_stud_mounted":"Flush/Stud mounted","mounting_type_standard_raceway_6x2":"Standard Raceway","mounting_type_flat_backer_2_5_mm":"Flat Backer","mounting_type_backerboard_cabinet_2_inch":"Backerboard Cabinet","avg_char_height_less_than_24_inches":"Less than 24 inches","avg_char_height_greater_than_24_inches":"Greater than 24 inches","raceway_height_6":"6","raceway_height_8":"8","raceway_height_10":"10","raceway_height_12":"12","raceway_depth_2":"2","raceway_depth_3":"3","raceway_depth_4":"4","raceway_depth_5":"5","raceway_depth_6":"6","raceway_depth_7":"7","raceway_depth_8":"8","backboard_cabinet_depth_2":"2","backboard_cabinet_depth_3":"3","backboard_cabinet_depth_4":"4","backboard_cabinet_depth_5":"5","backboard_cabinet_depth_6":"6","backboard_cabinet_depth_7":"7","backboard_cabinet_depth_8":"8","material_aluminium":"Aluminium","material_stainless_steel":"Stainless Steel","application_exterior":"Exterior","application_interior":"Interior","ul_mandatory_yes":"Yes","ul_mandatory_no":"No","paint_finish_gloss_satin":"Gloss/Satin","paint_finish_matte":"Matte","neon_color_simple":"Simple","neon_color_rgb":"RGB","uv_printing_needed_yes":"Yes","uv_printing_needed_no":"No","trim_type_trimless":"Trimless","trim_type_with_trim":"With Trim","fabricated_finish_original_colors_matt":"Original Colors Matt","fabricated_finish_original_colors_gloss":"Original Colors Gloss","fabricated_finish_silver_mirror":"Silver Mirror","fabricated_finish_silver_brushed":"Silver Brushed","fabricated_finish_golden_mirror":"Golden Mirror","fabricated_finish_golden_brushed":"Golden Brushed","fabricated_finish_bronze_mirror":"Bronze Mirror","fabricated_finish_bronze_brushed":"Bronze Brushed","fabricated_finish_bronze_antique":"Bronze Antique","lightbox_type_light_box":"Lightbox","lightbox_type_cut_to_shape":"Cut to shape Lightbox","return_color_black":"Black","return_color_white":"White","return_color_blue":"Blue","return_color_brown":"Brown","return_color_yellow":"Yellow","return_color_teal":"Teal","return_color_orange":"Orange","return_color_golden_brushed":"Gold Brushed","return_color_match_logo":"Match Logo (Default)","shape_rectangular":"Rectangular","shape_cut_to_shape":"Cut to shape","shape_round":"Round"}},"timestamp":"2026-01-29 05:54:09"} 
[2026-01-29 05:54:09] local.INFO: Sign Type Lookup {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","found":true,"sign_type_id":14},"timestamp":"2026-01-29 05:54:09"} 
[2026-01-29 05:54:09] local.ERROR: Mounting Type Not Found {"data":{"mounting_type":"Flat Backer"},"timestamp":"2026-01-29 05:54:09"} 
[2026-01-29 06:14:24] local.INFO: Image-to-Text API Request Received {"data":{"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_image":{"Illuminate\\Http\\UploadedFile":"C:\\xampp\\tmp\\php3CE4.tmp"}},"file_present":true},"timestamp":"2026-01-29 06:14:24"} 
[2026-01-29 06:14:24] local.INFO: Validation Passed {"data":{"sign_width_or_height":"120","user_input_dimension":"width"},"timestamp":"2026-01-29 06:14:24"} 
[2026-01-29 06:14:24] local.INFO: Prepared Query Parameter for Image-to-Text API {"data":{"query_param":"banner_width_ft","query_value":9.999996},"timestamp":"2026-01-29 06:14:24"} 
[2026-01-29 06:14:24] local.INFO: Calling Image-to-Text API {"data":{"file_name":"Screenshot 2025-10-28 100019.png","query_param":"banner_width_ft","query_value":9.999996,"file_size":37443},"timestamp":"2026-01-29 06:14:24"} 
[2026-01-29 06:14:24] local.INFO: Trying Image-to-Text server {"data":{"url":"https://edgebased.codeblue.agency/docs/process-image?banner_width_ft=9.999996","file":"Screenshot 2025-10-28 100019.png"},"timestamp":"2026-01-29 06:14:24"} 
[2026-01-29 06:14:28] local.ERROR: Server FAILED {"data":{"url":"https://edgebased.codeblue.agency/docs/process-image?banner_width_ft=9.999996","error":"Server responded but data invalid"},"timestamp":"2026-01-29 06:14:28"} 
[2026-01-29 06:14:28] local.INFO: Trying Image-to-Text server {"data":{"url":"http://imagetotext.marke-ter.online:8002/process-image?banner_width_ft=9.999996","file":"Screenshot 2025-10-28 100019.png"},"timestamp":"2026-01-29 06:14:28"} 
[2026-01-29 06:14:29] local.INFO: Server succeeded {"data":{"url":"http://imagetotext.marke-ter.online:8002/process-image?banner_width_ft=9.999996"},"timestamp":"2026-01-29 06:14:29"} 
[2026-01-29 06:14:29] local.INFO: Image-to-Text API Response {"data":{"status":200,"body":"{\"objects\":[{\"index\":0,\"position\":{\"x\":359,\"y\":42,\"width\":89,\"height\":75},\"actual_filled_area\":305.0,\"bounding_box_area\":478,\"image_base64\":\"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\",\"scaled_width\":23.84,\"scaled_height\":20.09,\"exact_perimeter\":111.77,\"approximate_perimeter\":102.87,\"convex_hull_perimeter\":77.21,\"perimeter_pixels\":417.28,\"approximation_points\":12,\"original_contour_points\":119,\"shape_analysis\":{\"perimeter_to_area_ratio\":0.3665,\"compactness\":0.3068,\"aspect_ratio\":1.19}},{\"index\":1,\"position\":{\"x\":220,\"y\":42,\"width\":134,\"height\":71},\"actual_filled_area\":314.58,\"bounding_box_area\":682,\"image_base64\":\"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\"}}"},"timestamp":"2026-01-29 06:14:29"} 
[2026-01-29 06:14:29] local.INFO: Detected Objects from Image-to-Text API 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","scaled_width":23.84,"scaled_height":20.09,"exact_perimeter":111.77,"approximate_perimeter":102.87,"convex_hull_perimeter":77.21,"perimeter_pixels":417.28,"approximation_points":12,"original_contour_points":119,"shape_analysis":{"perimeter_to_area_ratio":0.3665,"compactness":0.3068,"aspect_ratio":1.19}},{"index":1,"position":{"x":220,"y":42,"width":134,"height":71},"actual_filled_area":314.58,"bounding_box_area":682,"image_base64":"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06:14:29"} 
[2026-01-29 06:14:29] local.INFO: Nested area calculated {"data":{"nestedArea":2418.3108999999995},"timestamp":"2026-01-29 06:14:29"} 
[2026-01-29 06:14:29] local.INFO: Mapped objects from Image-to-Text API 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"},{"id":"d9f83a56-05ef-4fc6-b43a-cb7df550866a","height":19.02,"width":35.89,"perimeter":134.83,"area":314.58,"image":"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"},{"id":"1821c3c0-f08c-475b-bde9-8454342b52ab","height":19.02,"width":17.41,"perimeter":116.35,"area":210.61,"image":"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"},{"id":"5316ae30-da0a-40d3-a67f-791e9e514a2e","height":20.09,"width":19.29,"perimeter":102.66,"area":183.57,"image":"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"},{"id":"3b89f680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06:14:29"} 
[2026-01-29 06:14:29] local.INFO: Number of letters detected {"data":{"noOfLetters":8},"timestamp":"2026-01-29 06:14:29"} 
[2026-01-29 06:14:29] local.INFO: Perimeter calculated {"data":{"exactPerimeterSum":665.1099999999999,"perimeter_in_feet":55.43},"timestamp":"2026-01-29 06:14:29"} 
[2026-01-29 06:14:29] local.INFO: Actual filled area sum calculated {"data":{"actualFilledAreas":[305.0,314.58,116.3,210.61,183.57,54.03,41.72,31.5],"actualFilledAreaSum":1257.31},"timestamp":"2026-01-29 06:14:29"} 
[2026-01-29 06:14:29] local.INFO: Occupied area calculated {"data":{"conversionFactor":0.00694444,"occupiedArea":8.73},"timestamp":"2026-01-29 06:14:29"} 
[2026-01-29 06:14:29] local.INFO: Average character height calculated {"data":{"avgCharHeight":15.47},"timestamp":"2026-01-29 06:14:29"} 
[2026-01-29 06:14:29] local.INFO: Original image dimensions and ratio {"data":{"originalWidth":452,"originalHeight":122,"ratio":3.7049180327868854},"timestamp":"2026-01-29 06:14:29"} 
[2026-01-29 06:14:29] local.INFO: Calculated sign dimensions {"data":{"widthOfSign":"120","otherDimensionOfSign":32.39},"timestamp":"2026-01-29 06:14:29"} 
[2026-01-29 06:14:30] local.INFO: Image to Text processing completed 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","scaled_width":23.84,"scaled_height":20.09,"exact_perimeter":111.77,"approximate_perimeter":102.87,"convex_hull_perimeter":77.21,"perimeter_pixels":417.28,"approximation_points":12,"original_contour_points":119,"shape_analysis":{"perimeter_to_area_ratio":0.3665,"compactness":0.3068,"aspect_ratio":1.19}},{"index":1,"position":{"x":220,"y":42,"width":134,"height":71},"actual_filled_area":314.58,"bounding_box_area":682,"image_base64":"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"},{"id":"d9f83a56-05ef-4fc6-b43a-cb7df550866a","height":19.02,"width":35.89,"perimeter":134.83,"area":314.58,"image":"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"},{"id":"5316ae30-da0a-40d3-a67f-791e9e514a2e","height":20.09,"width":19.29,"perimeter":102.66,"area":183.57,"image":"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"},{"id":"3b89f680-c212-4f0e-8f94-e26647164eb6","height":8.84,"width":8.57,"perimeter":52.67,"area":54.03,"image":"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OfSign":"120","otherDimensionOfSign":32.39,"width_of_smaller_line":20},"timestamp":"2026-01-29 06:14:30"} 
[2026-01-29 06:14:32] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_depth":"1","sign_type":"Flat Cut Acrylic Letters","mounting_type":"Flush/Stud 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\",\"boxArea\":\"478.95\"},{\"id\":\"d9f83a56-05ef-4fc6-b43a-cb7df550866a\",\"width\":35.89,\"perimeter\":134.83,\"height\":19.02,\"area\":314.58,\"image\":\"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EtCN7VNewNNvfg4H4kD3n71QX/j0L7P0Dd6cdeyRGVRxenrK2A+aCwTuTlXxvf/wx3jymVv5a078Bd1/9kJ96bEPcLQ92bLfr2QGJuHuVCWnJ1vGfmVzuiEzuf21r+PJZ27lQFwD9MA9j9b/eOwDjDmRidOTLTGD3htVxbqunJxsqQwig94Wbn/d63jymVs5ENcAPXjusfrSo78KMmJOzMTSG+bOnBMzI2Ny3XWn7NaV3hq3vfa1PPnMKzgQ1wA9eO6z9aef/QCYqEiikpPNlnXds9l0vDnrfsXdMG9UFX/3da/jSTfcyoG4Bug37320/ucf/Rrb7ZbMZHf5Mn1ZaGaYc1Asy8Llyzt662Qlt732dVx/w8s5ENcA/Ydzn60/feKDmENrjdacmEFrzrquLL3Te2eMFTNns1l4yau/n+tveDkH4hqgB889Vl/54m+QGUjGZllY1xUzERmQhbmTc+LuIOMVP/JannTmVg7ENUAP3f94/clnf4UnXX89Fy9+lSrYbDZstxt2u8u4O2Nd2Ww2zDnpy8J3/8AP8aQzt3IgrgF66P7H68uf/zX60ogZZCbuhuQI4c2JmGQmX3d6Het+z3f/0I9w/Q0v50BcA/TQfY/XV7/4YeSOyygKBG7OOlY2y4bMIsZKIcyNl/3gD3P9DS/nQFwD9FsPPF7/+wsfJiJorbHZbFjHgCrmnLgZBVQWvTmVxct++Ed50plbORDXAD1032fr8pf+LfvdDpNovePeyAwyCygkMecks5CKl73qh+hP+07+X8VfCXJzvu766/nL0G898ET92ec/yLIsjHWlAHfHJJCAQhKFGHNwsjkhIzi57jouXbxIUbgaM4MqGDmhYLfb0VpDiNYaEUVksl9XluZkcSCOxpwUoAQzp1S4OWMMxrrirVMSVUnMJKKAIiIwa0QGWYW3xjOf9Ux+9Kd/lQNxlfTRBx6vr3zhwxhgZkQkiANRFAjcnYxgzmCz2TAjGPs9fdmQkcwIWmtAscZkroFkZCabpbPfrxRHooDMIJMrZCLmJLNorTPnJCJJxBWVICMiAZGZRAYRiUxIRmaRGTRvPPM5z+YfvOlDHIirpIfu+2x95Y8/TEXSeweK3jqXdzu8N+acHFUVJiMz8daYc3JUiLGumDd6b4wZzDkwOXNMlu2Wr371IibhzckMIorWOzEmyYFEZRIRuDfGGMicGYEkMmGMgUnInBmTqgKKKmits64rQjzvG57P6+74AAfiKumh+x+vL3/+g2Qmm82GqqKyMBORyZyBu2MmIgszZ45B6411v2LuzBlIzpEEEcGMpHljzMmYg6UvjLnirXP54mVOT064tLuMeSOLKzIT98a6H2QWEZOsws3IKrISYSCYM8gqttstMSZVxTomz3/BN/Jjb/kgB+Iq6bceeKL+7HP/mhnBsiwcVSVzJpJRVSCRmRxlJstmYYzJHJNl2TDWFZkTmYDY7Xb03vDWWPeDzKT3Tmaw36+YO5lJVjEjMQkkMrkiI2mtMWMyozAzJCMrmGPg3ogMSEBGZUGBJJ713Ofw42/7EAfiKumjDzxRX/78h4AECZMYY+DuZIL3xrqubDZb5hxUQcwkKzEZ67oiM5p3IoJZQczAJDKgbzrrfiUjgaT1LbsxiAhMxhiTohDGUQkiClSYjIhJZdF6J2YyxqD1xpyTSmjuVBWRSZl47tc/j3/0lg9xIK6SHrr/8frzP/4NLl38Kienp+x3e0BkJXIjI2i9I4mxBpnFnBO1hiFk4vLly/TWmXPg7sxI3Jzd5R1ts7COFTNHMvb7FTMxR2LNcTPmnFRCcSCxritmhiSQMMQYEzMnMwFhJiKCpJAZlUVRPPvZz+H1P/cRDsRV0oPnHqsvf/5DVAEGYwyEMHPWdXDUl46AdQQI1nWQUciEmXBzdrsdrXdiBpgRkUQk3pzMRDKqYKyDIolIWusgkVkgGPsVEAjcnXUdUEISrXf26x53BwkK5hxEJpKoKsyM5z7nebz+7R/hQFwlffSBx+vPPv/rrGMlI4kseu9EBFUQc1KI1hq7/UpzJyuhoACTMeaALJAxMzF3qoqIYo6gKpFEIaqgNWdGYGas60oVV2QFwpGEmzPHwHtnXVeKAgkEJCCQRGaCRGUhxHOf+zx+4ud+nQNxlfTgucfqy//lI2QlY12JmXhr/F9FJUQVkljHREBmYSbkxowgM3HvjHUFiYyiqgCRWWQGBWQW5s5RRFKVRAa9bdjvdpg7MqcqGWPSesMkMouiKIqYgbuTmUiiqohI3A0hnvOc5/L6t3+EA3GV9NB9j9d/f/RXWJbOGJOIJKto7kQGBajEzElmcVQFBciMiMTd2e9W3Bvr2JOZuHXMRFWRVSBjXVfcnYjA5MjEGAM3Z86kVLg3spKI4GtkImYgiSpwcyKC1p05g6rEzJhz8g3f8Hxe/3Mf4UBcJT1472P1p3/0a0gciBnBfrcHCQkiEoorWu/s9ytZBTKgyEyWvuHy5R1FUYgqaK2x7lf60jmKCKogK6DEFSXGGJgZMmONQWXh7vTeqSoigsrC3MkMKJEZyAwzse5Xlu2GjCRi8vXPez6vf/uHORBXSQ+ee6y+9NgHyCooGGNSWSSFu5OZgIg5KTMigoiAMnpvzJhEJFlFZuLWkBkRQWRCFogDQwVIQFFZmDuRwYzA3IkIzIzIwM2ZM9hsNkQEYx3IjKoEit47VTDnAIQ3QxjPeuaz+Kl3/BsOxFXSb977WP3JEx8kM1nXlTmCkiiBmzPGYLNs2e12ZCbWnL/1ohfxlOtfQE2gQVHUCuriioAxky5RHHRYB3jBrMIlvAokjtYqzERlMQAHFon/VcV1EkEhg4xiIkSxlZEUFzMRoktsJK674Tq+7TtfzYG4Snrgnkfri5/5l7g7lcWIQG5kQswAhLszZxARtOb82B0/xVNveiV/hYm/BP3mvY/W5x5+HwGYOyaRmUQUlKgqJGOOFdyogte/7Q087aZX8hfEX3O6/+yF+uNHfoXIpKpwc8aYHEUkklESY10xN0C8/m0/w9NueiUH4hqgB+55tJ54+P0IQxKSiEpMxn4duDtCRCQzBmbGT/7sG3jaTa/kQFwDdN/ZC/XE77+fAjKT1jozJlVQlYCYcyKB0SiKf/z2N3LDzbdxIK4Buu/uC3Xhd99L6w0K1jE4mnOy3W4Z6wREVmLuVBY/8443csNNt3EgrgG67+yj9cjv/DPMG1BEBEhUJJKDBFVEBNYbmckb/skdnLn5Ng7ENUDn7r5Qj/3H9zHGoHmnKKpEZiKKLK7ISgqQxBvf8SbO3HwbB+IaoHvvOl/nP/EeMqF7IzJIiYjA3JhjIgkEQmQmb/6Ft3Lm5ts4ENcA3XvX+XrkY+9hZtC8YWbMmGQVVVAqhJBEZmJm3PGON3HmGbdzIK4BuveuC/WZj72bmYHMKAqKK6qKqgKEmXFUVbz559/MmWfczoG4Bujc3Y/WJ3/7XRzJREURGZgZkiFEZtKXzpxBVfGmn7+DMzffzoG4BuieO8/XZz7xXvb7Pb13xjowN5BRmRTCXZhEZlIFb/mFt3DmGbdzIK4BuufOR+oPP/5eMpOqIrOQxFFmUgWtOWZiRmIm3vRP38yNz7idA3EN0L13Xag//Ph7mXMgxIzA3akqjjKDqsLciUhac97yjrdy5lm38RfEX3O6587z9emPvRtkREwiAndHgszC3QBRVWQmZsbf/rZbeOZyA3qqqLVgACsHBYiiEIVkIFGZSCIiMHO0QK1cUZXYxtntgo2EXFQWaxULBxIyo7KoSqoKM+NrqoqqwsyoKhAIoyiEKAqqwISdGnWxyAzMnW965ffxpKc/W7r3rvP18EPvpC8Lc04iAyFkoqqgwMzIDMwdCjITSZgZlUXrjXVdcXNmTARYa1Dg7mQmVUllIROZiZlhZow56c3JLCoLc+MoKxGiqnB3IhKZoAqZEXOyLAtjDkyGmbGuK5KoSswcM0MSEYEkZEbMSWvOmMFb73g3N37Li6V77nyk/vDj7yMiMDeqkjkmkoCCElDIDG+NOQZVhSQkEEbrjf1ujwTenMzCzJlzYGaYGVWFmcjkoDATkjHG4Ki1xpyDzKL3jruTmRzNOWmtkZlQEBn01skq5hz0pZMzKY4KM6OqgELmUMUYg2VZiAjcnTknb7vj3Zx54S3onrvO16c+9m4qkyzIDEwChEwIcZSZCJEUlYmZ4d6oSiKCqqKqcHfcjBGBSVQlICRxhYRJRAStNRDMMXF3IgJ3JyJp3ZnrZLPZEJmMsSKJquKotw4GYx0ctd4wGesYmAwoJJAMCopCEpIxxoqZ85affhc3/s1b0D13nq9P/857MHfW/R4oJEPiQEQE25Mt67oSM9gsC/t1xZtTWZgZkphz0FqnqqgqMhMzYeaYOWPsOZKMAkziaMbEzZFEVlGVmAwKshJJuDuZQZWAQghvTlUx1gGCqqK1RlVhZmyWhTEnMYOi6G1hxkCAJJBxx4//Ijd++y3onjvP18MP/RLmBggo3J0qiAhkwhBIZAbuDTdjRhJz4r2RMYko3A0zY87A3agqqgqqkBlVRWuN/bpnu90yxyQzaa0BBYivyUyqiq/JLJalM+ekqiiK5o0qyAqaNzITd2fMSTNHBmNMWmsIWOegtU7OAMGb3/AubnzhLeieu87XHzz0S1Dg3nA3MpIZE3PHJI7GnDR3qgozIyuhCkrIRFVi5sw5yUqaNyoLBGbCvZGZZCaZgXtjjMFmuyVjQgmZETGRhCSyAldDEjOCoyIxGVVFZtJ6JyJYeiMiqCwKMDOOqoorJKoSM2POoDL52Te9lxu/9RZ0z52P1MMffScFuDkgMicyo7I4cncQzHWCoLIwNyICSXhzcgYyUQVVhZkBoipZloWIwMzIDAoQIivJKEzC3SkKM2POgTCKIjNZloX9fk9rHaooAVVQBSZMTmaQmUiiqjAzjqqKqgIK90ZVkZUI8daffDc3vugWdPbOR+qTH30XICInktObk1WYiTkDKNwbY0yqEkn0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DMDXOjeGGpjx0vhVIr4zDHrbDd9tuwbv2e7LX/Rva8+0Z2Wb8fpVS2YtwGTBI/A2ILSVx37VVcedlF3LTpIq644mJuunFOjpu49nvXk4KMEbfCdNWM1WtmtMn2bLN2F9btspbZmp3YYae7ssOOu+JeuAXjNmaS+DkQtw3jdvZ/AXEFZUbrf2AhAAAAAElFTkSuQmCC\",\"boxArea\":\"387.54\"},{\"id\":\"3b89f680-c212-4f0e-8f94-e26647164eb6\",\"width\":8.57,\"perimeter\":52.67,\"height\":8.84,\"area\":54.03,\"image\":\"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\",\"boxArea\":\"75.76\"},{\"id\":\"cca913f9-5fbc-4beb-9b76-cec1a1d01047\",\"width\":8.3,\"perimeter\":44.79,\"height\":8.84,\"area\":41.72,\"image\":\"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\",\"boxArea\":\"73.37\"},{\"id\":\"c9805dea-07bd-4d0a-83a2-9e46becd0e24\",\"width\":8.84,\"perimeter\":33.34,\"height\":8.84,\"area\":31.5,\"image\":\"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\",\"boxArea\":\"78.15\"}]","mockupCreationType":"single","no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","material":null,"application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39"}},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: API Input Data Collected {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","sign_depth_or_thickness":"0.5","sign_type":"Flat Cut Acrylic Letters","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39","material":null,"application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null}},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Looking up SignType {"data":{"sign_type":"Flat Cut Acrylic Letters"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Retrieved Material Formulas {"data":{"sign_type_id":10,"formulas_count":27},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Retrieved Variables List {"data":{"sign_type_id":10,"variables_count":10},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Price Map Constructed {"data":{"price_map":{"material502298":0.5964,"weight_material502298":0.221,"material500287":0.7286,"weight_material500287":0.332,"material500918":1.3929,"weight_material500918":0.553,"material502581":1.6214,"weight_material502581":0.664,"material500695":2.8464,"weight_material500695":0.885,"material500414":4.4643,"weight_material500414":1.326,"material500636":7.7857,"weight_material500636":1.99,"material502107":11.4607,"weight_material502107":2.809,"material500611":0.0062,"weight_material500611":6.2e-6,"material500214":0.0025,"weight_material500214":2.5e-6,"material501055":0.0155,"weight_material501055":1.55e-5,"material502098":0.0286,"weight_material502098":2.86e-5,"material502079":0.0163,"weight_material502079":1.63e-5,"material502350":0.0254,"weight_material502350":2.54e-5,"material501680":0.0076,"weight_material501680":7.6e-6,"material502131":0.0271,"weight_material502131":2.71e-5,"material501803":3.6821,"weight_material501803":0.629,"material500379":0.132,"weight_material500379":0.09,"material500419":0.16,"weight_material500419":0.11,"material502106":0.13,"weight_material502106":0.16,"material502567":0.13,"weight_material502567":0.21,"material502564":0.18,"weight_material502564":0.35,"material500154":0.4,"weight_material500154":0.38,"material502074":0.8,"weight_material502074":1.0}},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Variables Price Constructed {"data":{"variables_price":{"variable54":0,"variable55":0,"variable56":0.75,"variable57":1.1,"variable58":1.2,"variable59":0,"variable60":0,"variable61":0,"variable62":0,"variable63":0}},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Final Variables Merged {"data":{"variables_count":170},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Initialized items collection {"data":{"count":0},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Merged material items {"data":{"formulas_count":27,"items_count_after_merge":27},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Merged variable items {"data":{"variables_count":10,"items_count_after_merge":37},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Sorted items collection {"data":{"items_count":37,"first_item":{"type":"variable","id":54,"expression":"NEAREST_INCH(sign_depth_or_thickness, sign_type)","dense_weight_expression":null,"name":"Sign Depth/Thickness","var_name":"variable54","price":null,"description":null,"sequence_no":1},"last_item":{"type":"variable","id":63,"expression":"totalCost * variable57","dense_weight_expression":"totalDenseWeight * 1.1","name":"Total Cost","var_name":"variable63","price":null,"description":null,"sequence_no":37}},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Initializing MathExecutor {"data":{"variables_count":170},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: MathExecutor variables set {"data":{"variables_count":170},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: NEAREST_INCH called {"data":{"input_value":"0.5","sign_type":"Flat Cut Acrylic Letters"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: NEAREST_INCH result {"data":{"input_value":"0.5","closest_inch":0.472},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Sign Depth/Thickness","expression":"NEAREST_INCH(sign_depth_or_thickness, sign_type)","result":0.472},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 2mm Transparent 4 ft x 6 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.079, weight_material502298 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 2mm Transparent 4 ft x 6 ft Pakistan","expression":"if(var_formula54 == 0.079, material502298 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 3mm Transparent 4 ft x 6 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.118, weight_material500287 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 3mm Transparent 4 ft x 6 ft Pakistan","expression":"if(var_formula54 == 0.118, material500287 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 5mm Transparent 4 ft x 8 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.197, weight_material500918 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 5mm Transparent 4 ft x 8 ft Pakistan","expression":"if(var_formula54 == 0.197, material500918 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 6mm Transparent 4 ft x 8 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.236, weight_material502581 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 6mm Transparent 4 ft x 8 ft Pakistan","expression":"if(var_formula54 == 0.236, material502581 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 8mm Transparent 4 ft x 8 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.315, weight_material500695 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 8mm Transparent 4 ft x 8 ft Pakistan","expression":"if(var_formula54 == 0.315, material500695 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 12mm Transparent 4 ft x 6 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.472, weight_material500414 * occupied_area, 0 )","itemDenseWeight":"11.57598"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 12mm Transparent 4 ft x 6 ft Pakistan","expression":"if(var_formula54 == 0.472, material500414 * nested_area * variable58, 0 )","result":"89.9467164"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 18mm Transparent 4 ft x 6 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.709, weight_material500636 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 18mm Transparent 4 ft x 6 ft Pakistan","expression":"if(var_formula54 == 0.709, material500636 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 1\" Transparent 4 ft x 6 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.984, weight_material502107 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 1\" Transparent 4 ft x 6 ft Pakistan","expression":"if(var_formula54 == 0.984, material502107 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Epoxy Primer Pakistan","dense_weight_expression":"(  (  (  ( occupied_area * 2 )  ) * 40.49 * 0.66 )  ) * weight_material500611","itemDenseWeight":0.0028928614968000005},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Primer Pakistan","expression":"(  (  (  ( occupied_area * 2 )  ) * 40.49 * 0.66 )  ) * material500611","result":2.8928614968000006},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Master Thinner Pakistan","dense_weight_expression":"(  ( occupied_area * 2 )  ) * 40.49 * 0.13 * weight_material500214","itemDenseWeight":0.00022976050500000004},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Master Thinner Pakistan","expression":"(  ( occupied_area * 2 )  ) * 40.49 * 0.13 * material500214","result":0.22976050500000003},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Epoxy Hardner Master Pakistan","dense_weight_expression":"(  ( occupied_area * 2 )  ) * 40.49 * 0.2 * weight_material501055","itemDenseWeight":0.0021915617400000004},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Hardner Master Pakistan","expression":"(  ( occupied_area * 2 )  ) * 40.49 * 0.2 * material501055","result":2.19156174},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 )  ) * 22 * 0.426 * weight_material502098 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , (  ( occupied_area * 2 )  ) * 22 * 0.426 * material502098 , 0 )","result":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 )  ) * 22 * 0.234 * weight_material502079 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , (  ( occupied_area * 2 )  ) * 22 * 0.234 * material502079 , 0 )","result":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 )  ) * 22 * 0.21 * weight_material502350 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , (  ( occupied_area * 2 )  ) * 22 * 0.21 * material502350 , 0 )","result":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 )  ) * 22 * 0.12 * weight_material501680 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , (  ( occupied_area * 2 )  ) * 22 * 0.12 * material501680 , 0 )","result":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 )  ) * 22 * 0.41 * weight_material502098 )","itemDenseWeight":"0.00450419112"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , 0, (  ( occupied_area * 2 )  ) * 22 * 0.41 * material502098 )","result":"4.50419112"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 )  ) * 22 * 0.21 * weight_material502131 )","itemDenseWeight":"0.00218602692"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , 0, (  ( occupied_area * 2 )  ) * 22 * 0.21 * material502131)","result":"2.18602692"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 )  ) * 22 * 0.3 * weight_material502350 )","itemDenseWeight":"0.0029269944"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , 0, (  ( occupied_area * 2 )  ) * 22 * 0.3 * material502350)","result":"2.9269944"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 )  ) * 22 * 0.08 * weight_material501680 )","itemDenseWeight":"0.00023354496"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , 0, (  ( occupied_area * 2 )  ) * 22 * 0.08 * material501680)","result":"0.23354496"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Paint Miscellaneous cost","expression":"( formula241 + formula242 + formula243 + formula244 + formula245 + formula246 + formula247 + formula248 + formula249 + formula250 + formula251 ) * 0.2","result":3.0329882283600003},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: No formula, default result applied {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight":0,"result":0},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Packaging/Box Making","expression":"variable56 * nested_area","result":12.5925},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 5ply","dense_weight_expression":"if( ( width_of_sign > 0 || other_dimension_of_sign > 0 ) && width_of_sign <= 30 && other_dimension_of_sign <= 30, (  ( 2 * nested_area ) + ( 8 * sqrt(nested_area)  )  ) * weight_material500379 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 5ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 7Ply","dense_weight_expression":"if( ( width_of_sign > 30 || other_dimension_of_sign > 30 ) && width_of_sign <= 50 && other_dimension_of_sign <= 50, (  ( 2 * nested_area ) + ( 8 * sqrt(nested_area)  )  ) * weight_material500419 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 7Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight_expression":"if( ( width_of_sign > 50 || other_dimension_of_sign > 50 ) && width_of_sign <= 60 && other_dimension_of_sign <= 60, (  ( 2 * nested_area ) + ( 8 * sqrt(nested_area)  )  ) * weight_material502106 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ) && width_of_sign <= 70 && other_dimension_of_sign <= 70, nested_area * 2 * weight_material502567, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight_expression":"if( ( width_of_sign > 70 || other_dimension_of_sign > 70 ) && width_of_sign <= 90 && other_dimension_of_sign <= 90, nested_area * 2 * weight_material502564 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight_expression":"if( ( width_of_sign > 90 || other_dimension_of_sign > 90 ), nested_area * weight_material500154 * 2, 0 )","itemDenseWeight":"12.7604"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight":"12.7604","result":0},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Wood Lar 9''x132''","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ), ( 4 * sqrt(nested_area) * 2 * weight_material502074 ) / 144, 0 )","itemDenseWeight":"0.22764223609498"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: No formula, default result applied {"data":{"name":"Wood Lar 9''x132''","dense_weight":"0.22764223609498","result":0},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: No formula, default result applied {"data":{"name":"Miscalleneous (10%)","dense_weight":0,"result":0},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: No formula, default result applied {"data":{"name":"Where Wastage magnification factor for Sheets consumption is taken as","dense_weight":0,"result":0},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Flush/Stud Mount","expression":"if(mounting_type == mounting_type_flush_stud_mounted, 1, 0 )","result":"1"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Standard Raceway (6x2)","dense_weight_expression":"if(mounting_type == mounting_type_standard_raceway_6x2, weight_material501803 / 144 * (  ( width_of_line_1 * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + ( width_of_line_2 * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + ( width_of_line_3 * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + ( width_of_line_4 * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Standard Raceway (6x2)","expression":"if(mounting_type == mounting_type_standard_raceway_6x2, variable58 * ( material501803 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  ) + 2.7 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Flat Backer (2mm)","dense_weight_expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, ( weight_material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Flat Backer (2mm)","expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, variable58 * (  ( material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Dense weight computed {"data":{"name":"Backerboard Cabinet (2\")","dense_weight_expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * weight_material501803 / 144 ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula executed successfully {"data":{"name":"Backerboard Cabinet (2\")","expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, variable58 * (  (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * material501803 / 144 ) + (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * 2.7 / 144 )  ), 0 )","result":"0"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Total Cost formula detected {"data":{"item_id":63},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Formula calculations completed {"data":{"total_items":37,"successful_calculations":36,"errors_count":0},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Summed initial totals {"data":{"totalCost_before_formula":122.20914577015999,"totalDenseWeight_before_formula":24.579187177236783},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Total Cost formula executed {"data":{"formula":"totalCost * variable57","computed_totalCost":134.430060347176},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Total Dense Weight formula executed {"data":{"formula":"totalDenseWeight * 1.1","computed_totalDenseWeight":27.03710589496046},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Total Cost result added to calculationsResults {"data":{"variable_id":63,"result":134.430060347176,"dense_weight_expression":27.03710589496046},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Preparing boxes for bin packing {"data":{"sign_type":"Flat Cut Acrylic Letters","objects_count":8,"totalDenseWeight":0},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: Processing flush stud mounted objects for 3D bin packing {"data":{"objects_count":8,"sign_depth":"0.5"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-1","width":23.84,"height":20.09,"depth":"0.5"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-2","width":35.89,"height":19.02,"depth":"0.5"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-3","width":16.34,"height":19.02,"depth":"0.5"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-4","width":17.41,"height":19.02,"depth":"0.5"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-5","width":19.29,"height":20.09,"depth":"0.5"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-6","width":8.57,"height":8.84,"depth":"0.5"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-7","width":8.3,"height":8.84,"depth":"0.5"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:32] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-8","width":8.84,"height":8.84,"depth":"0.5"},"timestamp":"2026-01-29 06:14:32"} 
[2026-01-29 06:14:33] local.INFO: 3D Bin Packing API response received {"data":{"response":{"response":{"id":"1769667273_7bc85ee1b83dca160b89241fe396ea23","bins_packed":[{"bin_data":{"w":36.19,"h":20.39,"d":4,"id":"unique","used_space":67.6963,"weight":0,"gross_weight":0,"used_weight":100,"stack_height":20.39,"order_id":null},"image_complete":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f2172fcfbba58bf6843acaa46b608c03/1769667273-6002-1954132.svg","items":[{"id":"item-2","w":36.19,"h":19.32,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f2172fcfbba58bf6843acaa46b608c03/1769667273-5996-4228354.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-4","w":17.71,"h":19.32,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f2172fcfbba58bf6843acaa46b608c03/1769667273-5997-7364595.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-8","w":9.14,"h":9.14,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f2172fcfbba58bf6843acaa46b608c03/1769667273-5998-2292349.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-3","w":16.64,"h":19.32,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f2172fcfbba58bf6843acaa46b608c03/1769667273-5999-7485666.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-6","w":8.87,"h":9.14,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f2172fcfbba58bf6843acaa46b608c03/1769667273-5999-4113961.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-7","w":8.6,"h":9.14,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f2172fcfbba58bf6843acaa46b608c03/1769667273-6-7779805.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-1","w":24.14,"h":20.39,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f2172fcfbba58bf6843acaa46b608c03/1769667273-6001-3346879.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-5","w":19.59,"h":20.39,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f2172fcfbba58bf6843acaa46b608c03/1769667273-6001-3648477.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}}]}],"errors":[],"status":1,"not_packed_items":[]}}},"timestamp":"2026-01-29 06:14:33"} 
[2026-01-29 06:14:33] local.INFO: Box added from packed bin {"data":{"length":4,"width":36.19,"height":20.39,"denseWeight":0},"timestamp":"2026-01-29 06:14:33"} 
[2026-01-29 06:14:34] local.INFO: Shipping rates calculated {"data":{"boxes":[{"size":{"length":6,"width":38.19,"height":22.64},"quantity":1,"denseWeight":1}],"cheapestShippingCost":201.6826875,"rawShippingRates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":28,"rate":"213.16","tariffAndDS":241.16,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":396.08211599999987,"totalShipmentCostFormula":"((tariffAndDS (241.16) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 396.08","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":28,"rate":"129.6","tariffAndDS":157.6,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":270.31595999999996,"totalShipmentCostFormula":"((tariffAndDS (157.6) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 270.32","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":17.5,"rate":"166.92","tariffAndDS":184.42,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":283.45354,"totalShipmentCostFormula":"(( tariffAndDS (184.42) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 283.45354","warnings":[]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":28,"rate":"227.71","tariffAndDS":255.71,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":277.71000000000004,"totalShipmentCostFormula":"(((tariffAndDS (255.71) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 277.71","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":0,"rate":"118.85","tariffAndDS":118.85,"fuelSurcharge":"0.3250","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":201.6826875,"totalShipmentCostFormula":"(((tariffAndDS (118.85) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3250)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 201.6826875","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":0,"rate":625,"tariffAndDS":625,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":625,"totalShipmentCostFormula":"((tariffAndDS (625) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 625"}]}},"timestamp":"2026-01-29 06:14:34"} 
[2026-01-29 06:14:34] local.INFO: Product cost factor determined {"data":{"sign_type":"Flat Cut Acrylic Letters","productCostFactor":1.25},"timestamp":"2026-01-29 06:14:34"} 
[2026-01-29 06:14:34] local.INFO: Final API Response {"data":{"sign_width":"120","sign_height":"32.39","sign_depth":"1","sign_type":"Flat Cut Acrylic Letters","processed_sign_type":"Flat Cut Acrylic Letters","sideViewImage":"https://api.signize.ai/mockups/flush-stud/flush-stud-flat-cutt-acrylic-letters.png","mounting_type":"Flush/Stud 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deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-4","w":17.71,"h":19.32,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f2172fcfbba58bf6843acaa46b608c03/1769667273-5997-7364595.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-8","w":9.14,"h":9.14,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f2172fcfbba58bf6843acaa46b608c03/1769667273-5998-2292349.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels 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deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-7","w":8.6,"h":9.14,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f2172fcfbba58bf6843acaa46b608c03/1769667273-6-7779805.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-1","w":24.14,"h":20.39,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f2172fcfbba58bf6843acaa46b608c03/1769667273-6001-3346879.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-5","w":19.59,"h":20.39,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f2172fcfbba58bf6843acaa46b608c03/1769667273-6001-3648477.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}}]}],"errors":[],"status":1,"not_packed_items":[]}},"shipping_rates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":28,"rate":"213.16","tariffAndDS":241.16,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":396.08211599999987,"totalShipmentCostFormula":"((tariffAndDS (241.16) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 396.08","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":28,"rate":"129.6","tariffAndDS":157.6,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":270.31595999999996,"totalShipmentCostFormula":"((tariffAndDS (157.6) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 270.32","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":17.5,"rate":"166.92","tariffAndDS":184.42,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":283.45354,"totalShipmentCostFormula":"(( tariffAndDS (184.42) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 283.45354","warnings":[]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":28,"rate":"227.71","tariffAndDS":255.71,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":277.71000000000004,"totalShipmentCostFormula":"(((tariffAndDS (255.71) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 277.71","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":0,"rate":"118.85","tariffAndDS":118.85,"fuelSurcharge":"0.3250","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":201.6826875,"totalShipmentCostFormula":"(((tariffAndDS (118.85) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3250)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 201.6826875","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":0,"rate":625,"tariffAndDS":625,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":625,"totalShipmentCostFormula":"((tariffAndDS (625) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 625"}]},"cheapest_shipping_cost_usd":210.0,"totalCost":370.0,"productionResults":[{"variable_id":54,"dense_weight_expression":0,"result":0.472,"sign_material":"Sign Depth/Thickness","description":null,"sequence_no":1},{"material_id":233,"dense_weight_expression":0,"result":"0","sign_material":"Acrylic Sheet 2mm Transparent 4 ft x 6 ft 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Pakistan","description":null,"sequence_no":13},{"material_id":245,"dense_weight_expression":0,"result":"0","sign_material":"Matting Agent (P565-554) 1L Nexa Pakistan","description":null,"sequence_no":14},{"material_id":246,"dense_weight_expression":0,"result":"0","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":15},{"material_id":247,"dense_weight_expression":0,"result":"0","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":16},{"material_id":248,"dense_weight_expression":0.00450419112,"result":"4.50419112","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":17},{"material_id":249,"dense_weight_expression":0.00218602692,"result":"2.18602692","sign_material":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","description":"High Quality Gloss / Satin Paint – PU or solvent-based, gloss (70+ GU) or satin (30–50 GU) sheen.","sequence_no":18},{"material_id":250,"dense_weight_expression":0.0029269944,"result":"2.9269944","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":19},{"material_id":251,"dense_weight_expression":0.00023354496,"result":"0.23354496","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":20},{"variable_id":55,"dense_weight_expression":0,"result":3.0329882283600003,"sign_material":"Paint Miscellaneous cost","description":null,"sequence_no":21},{"material_id":252,"dense_weight_expression":0,"result":0,"sign_material":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","description":null,"sequence_no":22},{"variable_id":56,"dense_weight_expression":0,"result":12.5925,"sign_material":"Packaging/Box Making","description":"Custom Packaging with 3–5 ply corrugated boxes with inner foam/styro and stretch wrap.","sequence_no":23},{"material_id":575,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 5ply","description":null,"sequence_no":24},{"material_id":576,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 7Ply","description":null,"sequence_no":25},{"material_id":577,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 9 Ply","description":null,"sequence_no":26},{"material_id":578,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 5mm 3 Core 4*8","description":null,"sequence_no":27},{"material_id":579,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 7mm 4 Core","description":null,"sequence_no":28},{"material_id":580,"dense_weight_expression":12.7604,"result":0,"sign_material":"Plywood Sheet 8*4 Mersawa 6 core 9MM","description":null,"sequence_no":29},{"material_id":581,"dense_weight_expression":0.22764223609498,"result":0,"sign_material":"Wood Lar 9''x132''","description":null,"sequence_no":30},{"variable_id":57,"dense_weight_expression":0,"result":0,"sign_material":"Miscalleneous (10%)","description":null,"sequence_no":31},{"variable_id":58,"dense_weight_expression":0,"result":0,"sign_material":"Where Wastage magnification factor for Sheets consumption is taken as","description":null,"sequence_no":32},{"variable_id":59,"dense_weight_expression":0,"result":"1","sign_material":"Flush/Stud Mount","description":"Sign to be Flush/Stud Mounted to the wall.","sequence_no":33},{"variable_id":60,"dense_weight_expression":0,"result":"0","sign_material":"Standard Raceway (6x2)","description":null,"sequence_no":34},{"variable_id":61,"dense_weight_expression":0,"result":"0","sign_material":"Flat Backer (2mm)","description":null,"sequence_no":35},{"variable_id":62,"dense_weight_expression":0,"result":"0","sign_material":"Backerboard Cabinet (2\")","description":null,"sequence_no":36},{"variable_id":63,"dense_weight_expression":27.03710589496046,"result":134.430060347176,"sign_material":"Total Cost","description":null,"sequence_no":37}],"productionError":[],"request":{"sign_width_or_height":"120","sign_depth_or_thickness":"0.5","sign_type":"Flat Cut Acrylic Letters","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39","material":null,"application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null},"TATDays":14,"testDenseWeight":27.03710589496046},"timestamp":"2026-01-29 06:14:34"} 
[2026-01-29 06:14:34] local.INFO: API Epic Craftings Calculation Ended ======================================================================================================== {"data":null,"timestamp":"2026-01-29 06:14:34"} 
[2026-01-29 06:14:35] local.INFO: API B2 Sign Calculation Started ======================================================================================================== {"data":null,"timestamp":"2026-01-29 06:14:35"} 
[2026-01-29 06:14:35] local.INFO: Incoming Request {"data":{"sign_type_name":"Flat Cut Acrylic Letters","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","dimensions":[{"id":"ba704795-302e-4baa-b7ed-e97cfd04d4cd","height":20.09,"width":23.84},{"id":"d9f83a56-05ef-4fc6-b43a-cb7df550866a","height":19.02,"width":35.89},{"id":"13ce41d7-0846-4f7d-b33d-56711c37132e","height":19.02,"width":16.34},{"id":"1821c3c0-f08c-475b-bde9-8454342b52ab","height":19.02,"width":17.41},{"id":"5316ae30-da0a-40d3-a67f-791e9e514a2e","height":20.09,"width":19.29},{"id":"3b89f680-c212-4f0e-8f94-e26647164eb6","height":8.84,"width":8.57},{"id":"cca913f9-5fbc-4beb-9b76-cec1a1d01047","height":8.84,"width":8.3},{"id":"c9805dea-07bd-4d0a-83a2-9e46becd0e24","height":8.84,"width":8.84}]},"timestamp":"2026-01-29 06:14:35"} 
[2026-01-29 06:14:35] local.INFO: Validating Request Payload {"data":[],"timestamp":"2026-01-29 06:14:35"} 
[2026-01-29 06:14:35] local.INFO: Request Validation Successful {"data":{"validated_data":{"sign_type_name":"Flat Cut Acrylic Letters","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","dimensions":[{"id":"ba704795-302e-4baa-b7ed-e97cfd04d4cd","height":20.09,"width":23.84},{"id":"d9f83a56-05ef-4fc6-b43a-cb7df550866a","height":19.02,"width":35.89},{"id":"13ce41d7-0846-4f7d-b33d-56711c37132e","height":19.02,"width":16.34},{"id":"1821c3c0-f08c-475b-bde9-8454342b52ab","height":19.02,"width":17.41},{"id":"5316ae30-da0a-40d3-a67f-791e9e514a2e","height":20.09,"width":19.29},{"id":"3b89f680-c212-4f0e-8f94-e26647164eb6","height":8.84,"width":8.57},{"id":"cca913f9-5fbc-4beb-9b76-cec1a1d01047","height":8.84,"width":8.3},{"id":"c9805dea-07bd-4d0a-83a2-9e46becd0e24","height":8.84,"width":8.84}]}},"timestamp":"2026-01-29 06:14:35"} 
[2026-01-29 06:14:35] local.INFO: Fetching Sign Type {"data":{"sign_type_name":"Flat Cut Acrylic Letters"},"timestamp":"2026-01-29 06:14:35"} 
[2026-01-29 06:14:35] local.INFO: Sign Type Query Result {"data":{"found":true,"sign_type_id":10},"timestamp":"2026-01-29 06:14:35"} 
[2026-01-29 06:14:35] local.INFO: Checking B2 Module for Sign Type {"data":{"sign_type_id":10},"timestamp":"2026-01-29 06:14:35"} 
[2026-01-29 06:14:35] local.INFO: Sign Type B2 Module Result {"data":{"has_b2_module":false},"timestamp":"2026-01-29 06:14:35"} 
[2026-01-29 06:14:35] local.ERROR: Sign Type Without B2 Module Attempt {"data":{"sign_type_id":10},"timestamp":"2026-01-29 06:14:35"} 
[2026-01-29 06:14:36] local.INFO: USA Workshop Calculation API Started {"data":{"request":{"sign_type":"Flat Cut Acrylic Letters","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","shipping_weight":17.5,"shape":"rectangular","dimensions":[{"id":"ba704795-302e-4baa-b7ed-e97cfd04d4cd","height":20.09,"width":23.84},{"id":"d9f83a56-05ef-4fc6-b43a-cb7df550866a","height":19.02,"width":35.89},{"id":"13ce41d7-0846-4f7d-b33d-56711c37132e","height":19.02,"width":16.34},{"id":"1821c3c0-f08c-475b-bde9-8454342b52ab","height":19.02,"width":17.41},{"id":"5316ae30-da0a-40d3-a67f-791e9e514a2e","height":20.09,"width":19.29},{"id":"3b89f680-c212-4f0e-8f94-e26647164eb6","height":8.84,"width":8.57},{"id":"cca913f9-5fbc-4beb-9b76-cec1a1d01047","height":8.84,"width":8.3},{"id":"c9805dea-07bd-4d0a-83a2-9e46becd0e24","height":8.84,"width":8.84}]}},"timestamp":"2026-01-29 06:14:36"} 
[2026-01-29 06:14:36] local.INFO: Validation Passed {"data":[],"timestamp":"2026-01-29 06:14:36"} 
[2026-01-29 06:14:36] local.INFO: Input Parameters {"data":{"dimensions_count":8,"shape":"rectangular"},"timestamp":"2026-01-29 06:14:36"} 
[2026-01-29 06:14:36] local.INFO: Resolved Default Data {"data":{"sign_type_map":{"sign_type_halo_lit_letters":"Halo Lit Channel Letters","sign_type_face_lit_letters":"Premium Face-Lit Letters (Metallic Trim)","sign_type_face_and_halo_lit_letters":"Face & Halo Lit Channel Letters","sign_type_single_sided_lightbox":"Fabricated Lightbox - Single Sided","sign_type_double_sided_lightbox":"Fabricated Blade Sign -  Illuminated/Double Sided","sign_type_flat_cut_acrylic_letters":"Flat Cut Acrylic Letters","sign_type_flat_cut_aluminum_letters":"Flat Cut Aluminum Letters","sign_type_single_sided_push_through":"Fabricated Push Through - Single Sided","sign_type_fabricated_letters_non_lit":"Fabricated Channel Letters - Non Illuminated","sign_type_2d_blade_sign":"Flat Blade Sign","sign_type_3d_blade_sign":"Fabricated Blade Sign - Non Illuminated / Double Sided","sign_type_neon_sign":"Neon Sign","sign_type_marquee_channel_letters":"Marquee Channel Letters","sign_type_open_face_neon_channel_letters":"Open Face Neon Channel Letters","sign_type_mirror_infinity_channel_letters":"Mirror Infinity Channel Letters","sign_type_metal_on_acrylic":"Flat Cut Acrylic with Metal Pasting","sign_type_neon_acrylic_sign":"Neon Acrylic Sign","sign_type_double_sided_push_through_cabinet":"Double Sided Push Through Cabinet","sign_type_standard_face_lit_plastic_trim_letters":"Standard Face Lit Letters (Plastic Trim)","mounting_type_flush_stud_mounted":"Flush/Stud mounted","mounting_type_standard_raceway_6x2":"Standard Raceway","mounting_type_flat_backer_2_5_mm":"Flat Backer","mounting_type_backerboard_cabinet_2_inch":"Backerboard Cabinet","avg_char_height_less_than_24_inches":"Less than 24 inches","avg_char_height_greater_than_24_inches":"Greater than 24 inches","raceway_height_6":"6","raceway_height_8":"8","raceway_height_10":"10","raceway_height_12":"12","raceway_depth_2":"2","raceway_depth_3":"3","raceway_depth_4":"4","raceway_depth_5":"5","raceway_depth_6":"6","raceway_depth_7":"7","raceway_depth_8":"8","backboard_cabinet_depth_2":"2","backboard_cabinet_depth_3":"3","backboard_cabinet_depth_4":"4","backboard_cabinet_depth_5":"5","backboard_cabinet_depth_6":"6","backboard_cabinet_depth_7":"7","backboard_cabinet_depth_8":"8","material_aluminium":"Aluminium","material_stainless_steel":"Stainless Steel","application_exterior":"Exterior","application_interior":"Interior","ul_mandatory_yes":"Yes","ul_mandatory_no":"No","paint_finish_gloss_satin":"Gloss/Satin","paint_finish_matte":"Matte","neon_color_simple":"Simple","neon_color_rgb":"RGB","uv_printing_needed_yes":"Yes","uv_printing_needed_no":"No","trim_type_trimless":"Trimless","trim_type_with_trim":"With Trim","fabricated_finish_original_colors_matt":"Original Colors Matt","fabricated_finish_original_colors_gloss":"Original Colors Gloss","fabricated_finish_silver_mirror":"Silver Mirror","fabricated_finish_silver_brushed":"Silver Brushed","fabricated_finish_golden_mirror":"Golden Mirror","fabricated_finish_golden_brushed":"Golden Brushed","fabricated_finish_bronze_mirror":"Bronze Mirror","fabricated_finish_bronze_brushed":"Bronze Brushed","fabricated_finish_bronze_antique":"Bronze Antique","lightbox_type_light_box":"Lightbox","lightbox_type_cut_to_shape":"Cut to shape Lightbox","return_color_black":"Black","return_color_white":"White","return_color_blue":"Blue","return_color_brown":"Brown","return_color_yellow":"Yellow","return_color_teal":"Teal","return_color_orange":"Orange","return_color_golden_brushed":"Gold Brushed","return_color_match_logo":"Match Logo (Default)","shape_rectangular":"Rectangular","shape_cut_to_shape":"Cut to shape","shape_round":"Round"}},"timestamp":"2026-01-29 06:14:36"} 
[2026-01-29 06:14:36] local.INFO: Sign Type Lookup {"data":{"sign_type":"Flat Cut Acrylic Letters","found":true,"sign_type_id":10},"timestamp":"2026-01-29 06:14:36"} 
[2026-01-29 06:14:36] local.INFO: USA Workshop Module Check {"data":{"sign_type_id":10,"has_module":true},"timestamp":"2026-01-29 06:14:36"} 
[2026-01-29 06:14:36] local.INFO: Initial Price Lookup {"data":{"shape":"rectangular","price_found":true},"timestamp":"2026-01-29 06:14:36"} 
[2026-01-29 06:14:36] local.INFO: Flat Cut Acrylic Letters Detected {"data":[],"timestamp":"2026-01-29 06:14:36"} 
[2026-01-29 06:14:36] local.INFO: Resolved Depth Range {"data":{"input_depth":1,"matched_depth":1},"timestamp":"2026-01-29 06:14:36"} 
[2026-01-29 06:14:36] local.INFO: USA Workshop Price Found {"data":{"base":"object","price_per_inch":5.0},"timestamp":"2026-01-29 06:14:36"} 
[2026-01-29 06:14:36] local.INFO: Calculating Production Cost (Object Base) {"data":[],"timestamp":"2026-01-29 06:14:36"} 
[2026-01-29 06:14:36] local.INFO: USA Workshop Calculation Completed {"data":{"production_cost":618.8000000000001,"dimensions_count":8},"timestamp":"2026-01-29 06:14:36"} 
[2026-01-29 06:39:38] local.INFO: Image-to-Text API Request Received {"data":{"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_image":{"Illuminate\\Http\\UploadedFile":"C:\\xampp\\tmp\\php59A7.tmp"}},"file_present":true},"timestamp":"2026-01-29 06:39:38"} 
[2026-01-29 06:39:38] local.INFO: Validation Passed {"data":{"sign_width_or_height":"120","user_input_dimension":"width"},"timestamp":"2026-01-29 06:39:38"} 
[2026-01-29 06:39:38] local.INFO: Prepared Query Parameter for Image-to-Text API {"data":{"query_param":"banner_width_ft","query_value":9.999996},"timestamp":"2026-01-29 06:39:38"} 
[2026-01-29 06:39:38] local.INFO: Calling Image-to-Text API {"data":{"file_name":"Screenshot 2025-10-28 100019.png","query_param":"banner_width_ft","query_value":9.999996,"file_size":37443},"timestamp":"2026-01-29 06:39:38"} 
[2026-01-29 06:39:38] local.INFO: Trying Image-to-Text server {"data":{"url":"https://edgebased.codeblue.agency/docs/process-image?banner_width_ft=9.999996","file":"Screenshot 2025-10-28 100019.png"},"timestamp":"2026-01-29 06:39:38"} 
[2026-01-29 06:39:39] local.ERROR: Server FAILED {"data":{"url":"https://edgebased.codeblue.agency/docs/process-image?banner_width_ft=9.999996","error":"Server responded but data invalid"},"timestamp":"2026-01-29 06:39:39"} 
[2026-01-29 06:39:39] local.INFO: Trying Image-to-Text server {"data":{"url":"http://imagetotext.marke-ter.online:8002/process-image?banner_width_ft=9.999996","file":"Screenshot 2025-10-28 100019.png"},"timestamp":"2026-01-29 06:39:39"} 
[2026-01-29 06:39:40] local.INFO: Server succeeded {"data":{"url":"http://imagetotext.marke-ter.online:8002/process-image?banner_width_ft=9.999996"},"timestamp":"2026-01-29 06:39:40"} 
[2026-01-29 06:39:40] local.INFO: Image-to-Text API Response 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SRMhgoQwrBWe8IzXMcy2sCIcRHLh3t1xwcdfSTdjvjZnsbFBIMxncxaLBcNsoLfOP3MPbnDjI7n+0deByZFBEFUE8AhUtmKLDnUDUSUWgfZrwZbCtOsb6BECWeEyR45S4h8CbhDEfkiHJvwSx7/hyA0F+6dAtwnTCIs1Z1o0Dlx6Kd/6xtfZ2FjgHuScaa2hSSEgEHozPAwzo5ZKAO6ORUAE7k5KinUnpUzKiVNPO5M7nvloVoSDTC7cuzt2fvS3IQLNCRXBzFFNuDsRTvADSRPLcaLWyjQ1IhwRRUQRFfDACfDA3ImAYRhYLBYggrvTemdtPmdjsUGtFRFhmhrT1Ni6ZQu9d8ZxJNdK74Ym5QeE3jtDHWitYWaYBSJC7x0QzI2cMkFgZmhS3APVhJkhIpgZApg7wzAAwmxW+MWnvoJth16HFeFHcDM0JX5ccuHeXfGFj7wSx5GUsN5xd0op9N5xcw459FD2799Pb42UCiln3DrugYgAgrkTHogqi8WCYaj0bgy1gsBiMaKquDt1GGjTSC6F/ZfvZ5jNmFpjU86ZaZoQTYzLJbP5nGlqzGZzlssFgpBzpfdGRJBLpk0NSUprHdVETpnuRhKl9Ya7k1KCgO4dQhAg58w0NU6/33/k1LueyRWEf4eZ8c43/Bq3vv1J3ObE+wQ/IPw75KJ9u+OCP/89FosFpRRSKoQby3HJ2toal116gNlsYJomUkqICNM0Ye7klMi50LshCIZjboQ71p1SC9acnDOi0KaOuxMERBDAMMxoZozjRETgEcyGGVPrLBcLcs6IKCICBOaOpoyZEe4gQgC1VMZxgZujOTHUGW1qmBu9G7UUzA0zRxDcnFILx97mOO77iBegqqwIP8IX/ur98b63vIGI4JS73IMz7/8kUsqsCP8GuXDvrvjch15GHQbcjE1uwdQ6qgoRTK1ThkpvnVorEUGEs7GxYD6fsxyXCEKtA+M4QgTDMNCa0dpEBOSh0FvHzMi58APCOI2oKgS0ZogItVZQobWGBLgbIoqHEAQqwmK5pNaKmaFJEQSPgAhKKSwOjOSSIMAj0KT0ZtSSab2z6drXP4JHnPvrbN16GFcQ/h2XX3ZJvPG3n8b3/mk/EUF4cMe7nMLd7/t0Sh1YEf4VcuHeXfHp97+E2WzGuFxShwEPWCwX5FxorbGpTZ1aC906OWfcnVoq+/fvp9YBEcHMMHNIQimVxWLJDwg5J1SV/fv3s7ZlK0TQpoaZg4J1I8JJKSMokgTrBqKklBjHkfAAhTAHEXLOCDC1jpsDggiklNBcmNoEEaSUiAgQVgQ353pH3JiHPu5ZHHro9biC8CP8yTtfG5/71AfZFBGUXOjWuONd7sQZ9386ORdWhH9BLlzfFX/x3hcTCDlnUkpsLDYoubCpW6eUgnUDAbdARUCU3hsRQUoJM8cDgiDljJkholg3zAIRcA8ggABRujkiwmwYmNoEAbkU2tRovSEiBKCAuxOAu5NTQUQwd0opTONIypmsiY3lEhXBWRG+T0TY5Oagwm1ufyfOfMCTWFvbyhWEH+HLX/xCvPmVzwZVFEFTovdOKQVz56Q7352fP+vJrAj/gly4d3ec/97fBBFSTrg7vXVAiXAQIdxJKSEiGIGI0FqDAE2JTa11IoJcCn3qdDNKzpg5KSmtddwDVcE80KSMy4lhNmDdyDlh5jTrJBVa6wzDgFswTROIoKqoKiCEwDSOgJByIqdMuINA7wYKKoqZ4e6klDj82tfmrmc+gtuceDo/RPgRWpviD1/9y1z8pYtRVdydnDOtN2azOW5GBDzo0U9gx/H3ZkX4IbJvfVd86v0vIWmi9Y6bsUlE6b1Th8rGxpI6FHo3Sq2YORFB0sRynAgPai1064zjiIiSU8GsI6rklDF33I2UMhaOmzONI8Mww8Mwc1QV1YSKsBxHSqm4OeGOhSOqiAqCYm6ICG1qaFI2RQQRQa2VqU2ICIRwo6OO5rTT78FNtt+DOsy4gvBj+tyn3hEfes87EDYJvTdEhKQJVaF1A4KhDjzhGS/h2tc9mhXhCrJvfVd8/J2/TgApJcKDOgyM44S7ExEgQiD8QBARgFDrwHI50qYJBEqpTK2hqghCypnFYkEpFU1CuKMp0aaGqOJmgBDuBCCiuDk5Z5bLJSVnLAJNifBg6hMqirmRcyalhKoSEbg7EUFvnWsdfji32H47jr7JMdzg6OM5/LpHIyL8EOHH9N3vfCN+/6W/xDiNuDtJE+ZGyolxOVJqRQjCgwi41fHH8+DHvABZ4Qqyb31XfOydL0QA1URrHUmKR2DuhDsRgaCoZtAg3AkPujkiQrdORFBKxbpRSqH1ziZ3p3cn54S7k1QxDwRBBBBFCNyDTSIKBGYGIvQwkibcHFGhtcZsNqO1RkSQc6a1Rq0VEMyM613vhjzxV16NiPBDhJ/Cf3/zC2LnX3+eHwiSZqY2MQwD0zShSUmaICCAcOMXz3sGN7nlXVgRVmTf+q744FtewNp8TkSwXE4QRi6F3jsiyoH9G2zbdgitTTiwbdshHLLtMMwMj0BFEYTeO7VWzIxunU2qyvcFOMFQKxuLiZwSrXdySjR3SkrgToiAO53gku98k3GayDljZmxydyICVUU1ER603qil4BGICiqJc5/5Ug6/zjGsCD+lfXs+E29//YsY6sCBAweYzeZY75gbCNRSaa0hgEeQUsLM2L7j5jz08S9DVliRveu74mPvfDEICEprDTcnl4y7IwLmYO4IgoVxvwedyS1v/ziubBd84dP88VteRkQQEZgZKRUinKSJ5bik1kJrnZwzrTVUBdXEve7/WE65631YEX4K47iIP3zlU/jGN76DqiIihDvdDA9nNgyIJBaLDSKclAsCeARJE4972gs44sa3YUVk7/qu+PBbXkhEkFJiXC7IQ6X3jogiIuScGccJdweB+z/kHhx7+yfxQ4SDLzYOXM4r/+s5TFNDRAggqTKOE8NQmaYJVcHcKKVgPYAgp8T222znrEe/kBXhp3D+R98cH/vge+m9U2ultcYwDIzjSEqJTRGBiACCqhAR9NYwd37mjHtxxv2fworI3vVd8advexHmjgDTNJFLIdxBBDfDI0iaaL0jAvd78N3ZfvJ5rAhXrnjDbz2Nr331YkSETRGBiADBJndHRNmUUsLdEVVKzjz1ua9nvraNFeEn9IG3vCg+8+nzyTmzycMpuTCOIzllunVSSiD8QATuQUqJiOCwww7jqc99I5qSyN71XfHht/4GIoK5EwFuhoUjQM6Z8MA9aK0RwP0fdg92nHweK8KV7BMfek188s8+jIrSW8dxVBIQ5JTwAFXBzBARIACh987Z5/wqtzrhzqwIPyEzi4+867f47GfOx8wQEUSElJTWOr13cs6oKuFOShlzY5OIIKo84Zd/gxseuR3Zu74r3vfG5+HhEIGIEgEpJQgwczyCnBKqytQaD3z4Pdh+4rmsCFeyfXs/HW9/7W+yKafE1BpEYOHkXFBRxnFJTolcKm4dEcEjuP3Jd+a+j/i/WBF+cmHWefcfPo89f7sLEUUEIgLrRh0KvRsRgaqyKaWMm+FhqCYe8LBzuO0d7oPs3bMz3vMHz+MHBBFAFAg8gk29d2qthDvdnQeefQY7TjqXFeFKtv/yy+KVv/ZYltPEbBiIcCJgHEeSJjQpZsYwVKapkXKi9w4BhxxyCE957h9QyiD8dOKS73yD17/0aYzjCCKIgHVDVMi54O703hEEj6CUTO9GTonTTr8Xp9/nCcjePbvivW98AeGOiGBmaMlscnfcHXODAEEwN85+1M+x/aRzWRGufPGmVz6Fr3zpYlSVIMiaQAW3AIJ/1nsDhJQUEFQTv3ju07nxzU5lRfjpxCf+5FX8xcc/DgG5ZMZxJOeEe+DmpJwQwCMQEXrv1Fo59rhb8+DHvQBZ37Mz3vvGF4BDN0MVPAJUEBEEYdM4jpRSCOCss89gx0nnsiJcBc7/szfGx/7H+xEBEcHMcHc0JQjHPai1YmYQkHKitYaocsqpd+HnHvKfWRF+Sl/ee3780Wtfhqrg7qgqvXdKKfTeERFEFQW6dUAQUW5685vwyPNejqzv2Rlve82zgWA2mzFNE5uGOrBYLsg507uRkgKKe+ehj7w32098EivCVeDL+74Q/+21z6f3TikVEWhtQjQhQETg4WTNaFLa1PBwIoKt27bxtOe+ntl8q/BTuvgre+PNr3omBPTeGWYD0zgioogIqoq7k1IiPNCkhDvXvu7hnPurf4Cs79kZ73r9c4kINokq1jspJUDo1lFRkiY8HHfjIY+4F7c6+VxWhKvANC3jt5//WDYWG+RccDciAndHk2LdEQnMHBElJcXDEQR35yGP+U/c+nb3ZEX4KfzdVy6IN7/qOZgZZsYwVFrrDHXA3DAzRIXeOrVUPBx358gb3ZAn/MrrkPU9O+Mdr3sO7qCqiEAQbBKE3htb1rayWC5BIKnwoLPPYPtJ57IiXEXe9+bnx19//vOICLVWxuUIAiVnzJ2UEtM0oarknBERNCnTOHGzm9+SRz75JawIP4UL93wi3vr7r8DNKaWgIrTeEVFSUtyd1hoiggjUOjBNIze7+TE86j+9Ctm7Z1e86w+eR0QQEdQ60HvDzMg501ojpYR1AxE0KWc97O7sOPk8VoSryN6//pN411vegJmhqpg7EYEKK0IphdYaZkbOhZwTvXcgcA8e97RXcNRNbsqK8BP65Ad+Pz7x8Q/i7uSSadOEasK6McwG3IwA3J2IYDab09rIjtvejgc95vnI+p6d8dbXPJucMhGOqgBCmxqalCDorVNyARFyTjzwYXfnViedy4pwFbn0n74Rv/VrT0Ii8IDeG7VWeu/knIkICFBVVIXWO0kTHo6ocNIpp/LzD/sVVoSfwDQu4lUvfAKXXXopKSU2RQRmhqoiIqgqBIgKZoaI0HvnZ848k5/9+Scj63t2xlt+91cptWBmlFwIgmmcKKVgZogKbZwYZjPGceThj/55dpx8HivCVSf+6NW/whcvXMfdUU3krCDCuBxJKbHJzciloKq4O6qCe5BS4vG//Jtc/4ibsyL8mD79P98VH3z3m9k0DJWpTQiCiJBSwt3JOdNbQ1NCRLBuBMEDH34Ox9/hfsj6np3x3179TCKCXDIiQps6pRQQcOvklHFAABHhrIefwY6TzmVFuAp94a/eH+9842uYz2eYBd06tRbCHRFFVZnahHugIogIEUFKiYjg2B3beeg5v4GIsCL8CF++cE+8/fXPxczZtFgsyLkgCkkTrTdKLoQ7rXdSSpgZs/mc3jtPfPqLuOGNtiPre3bG21/7HEQEVcXcEATzjkpGVbBu5JKIAFXlrLPvwfYTn8SKcBXaOPC9+J0XPolxHIGgtY67k3Ki5IKZoZoIHAIQoU2NiKCWjANn3vehnHr62VxB+Ddc/OXPx7vf8HI2NjYIDxBwd0QEs04pld4687UZrXWCgIDeO6UU1ras8UvPfzMpZWR9z85422ueTUoJM8M9qDVj7oRDSkLvRkqJbsZQBx7w0J9lx8nnsiJcxf70vS+P/+eTfw6iqAhmHU0JMwcCAoZhYJomVJXwwHFqrfTWEVHuff97s+Oks1lb28qK8EMuv+y78emPfpDPnP9exmkk50xEoCmhImxyc4JAREgpYd0IAg+n5ELvjdPuenfOOOtprIis79kZb/29ZxER5JQJglIKrTU2uTsiwiYRAYIHP+JMdpx8HivCVezrX70oXvuyp5OSIiKklOjWUVEigtYapRQE6L0jqhCAQOudLfMtLJYbbDvkMI692Q6uc8Nj2HL4YWxccilf+9o+LrroC/Ru9N5JKQHCJhFwN1LKWO+UWlksFpRc0KxYNzQpBEzTyOOf8l855tiTWBFZ37Mz3vqaZ6GqCIKbgwSqid47CBCQUmKTJuXBD78n2098EivCVS8+8Jb/wuc+8wVEIefCNE7UWtjkbqSUGccRM6fWgpvT3Sg5kXMhIiACM8Mj8HByypRSEIFpbJgbORfCHQQiAk1KEqX1TskZc2eTiLJJgKlNXP+GR3DuM3+PlDIrIut7dsZbf/dZzOYzIBinCevGMAy4OaLCYrHBfL6GuxMRPOxR92b7iU9iRbgafO1Le+KNr342EYG74+7knDEzSslEgFkHBBHB3RERRJWkShAQMI4jOWfcnYggAmotRAQRgaiiIkN2HawAAAVoSURBVMxmAxsHNqjDwDRNuDualFoGxnGJihABqoJHcJ+zzuPEu9yTFWFF1vfsjHf+/nOJcHLOmDlBsElFUVWSKlNrRAQRwcMedW+Ou/1/ZEW4esSfvucVnP+Jj1JrpbVGrZWpTRBBzoXeO5oSpRTaNLEpwgEhIiilEuGYOZqUcCenhLsjqogI3QzcSTkjAuFB7x1EGIaBCGeaGhFBKYWI4JBDr8WTnvlqhmHOirAi63t2xjtf/1zCHE2JcTmSa4EI/pmqEgHmnaSJBz38DHacfB4rwtXke9/9x/iDlz+V/QeWmHdUFNVEuJNLZpom3IOcExFOa53ZMMPcCHcCEBFSSrgZmhJEsMkJwgMRwcwopdBaZ742Y7lYknLCzEmqRAQI3ycI93/EEzn+pHtzBWFF1vfsjLe/9jmoKiLCpjZOoIKI4GYggori7iDw0Efei1uf8mRWhKtPXPD5/8G73/L7uBnuzqZcMirKNE5sqrMB6x13R1Mi3BBR3J2UFPdAVYkIuhnCiggC9N6pdSDCiQhUFXNHAHNHRVAVRJQIZ8ettvOgx78YVWVFuIKs79kZb3vNsyFAkpA1s1gsyCVjvSOaEIGcMuaGu/PQ/3Avbn2HJ7MiXI1i5UPveTGf/eSnGaeJWivdjKSKiODupJQIdzQleu+UUkCEaRqptbLJzTAPBFBV3B1BQPi+cEdTQkRQVcZpgnBEE4oQBIcdeiiPftqLOPzaR3EF4QqyvmdnvON1zwEE94AILJyhVqapkZISARHObDaj985ZZ5/BjpPPZUW4mi02DsSbXvWf+cdvfhNBcJxwR0QxM1JKmBmlFCICCKbWGOoMs46qoJro3TAzSk4EoEkJD3o3ckm4OSJCRODu1Fqw7ng4KSkPf8IzuMX207iC8ENkfc/OeOvvPouUE5vCgzpUeu9EQBBYa5RaMTfCg4c+8l7sOPk8VoSrX3z3km/x39/wHP7+779FzonWO+FBzpmIIKWEdcPD+T4RclLMnJQSm3LOTOOEu6NJiYBaC+5GBKgq0zQhCCklRCACzJ17n/UI7njXh3AF4V+Q9Qt2xjte919IOWFmuBs5ZVrvpJwgBHcjIggCM+MRv/gL7DjlPFaEa4a45Ntf5W2vez7f+fZ3gWBTRCCq5JSICNwcd0eSEu54OCUXeu/UUtGkjONI7x1VRVVRVXrvaFJqqSyXS+pQmcaRYZhzt597OHf52QdyBeFfIesX7Iy3ve7ZCAICEkLgmDkiwqZaK5t676gqD3jo3bnNHZ7MinDNEd+95Ju8/62/wVe+eDEpJcyMlJRuhiDUWmlTY5gPbGxsgIMmIeeCmSEipJQIgk3WjQjHPcg5s8k9EAlyLvz8Q57I7U65J1cQ/g1yySXfiot2/yVuDdGCiBDeiOhomhERgPD/igU3veXNuN4Rp7AiXLPEcrnBh9/zWnZ//nwQMDPcDETYVGultw4CKsImcyflBA7NGjllckp0MyLArANC741hNnDTW9yC03/hPI486hiuIPw7JCJYCX5ywjVTsPLFfX/N+R96E1/60pcptZJTYjkuEYRNJRcQMOuYOaUUrHdQQULQrCRVWuuUUhjHkVtu38HtT7s/x+04BRHhCsKPIBHB/6bCrPPVi87nM5/8KF/+4j6mNuHmbJrP54zjiIigSSEEEaH1CRUlIhBNHH744dzmxLty3G3uzA2OvBk/RPgxSUTwv7HgCt/9zj/w1S99gW9+dRdf+dKXuPTSy1hsbCCimHWGYWC+tsbali0cedSNud4R2znqZju4/g1vSsqZHyL8hCQi+D9E8EPG5YI2bjAuRkSEYeuMkteow8C/Qvj/QSKC/4MF/1/CQfa/AHEPT5lTSc9XAAAAAElFTkSuQmCC\",\"scaled_width\":23.84,\"scaled_height\":20.09,\"exact_perimeter\":111.77,\"approximate_perimeter\":102.87,\"convex_hull_perimeter\":77.21,\"perimeter_pixels\":417.28,\"approximation_points\":12,\"original_contour_points\":119,\"shape_analysis\":{\"perimeter_to_area_ratio\":0.3665,\"compactness\":0.3068,\"aspect_ratio\":1.19}},{\"index\":1,\"position\":{\"x\":220,\"y\":42,\"width\":134,\"height\":71},\"actual_filled_area\":314.58,\"bounding_box_area\":682,\"image_base64\":\"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\"}}"},"timestamp":"2026-01-29 06:39:40"} 
[2026-01-29 06:39:40] local.INFO: Detected Objects from Image-to-Text API 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","scaled_width":23.84,"scaled_height":20.09,"exact_perimeter":111.77,"approximate_perimeter":102.87,"convex_hull_perimeter":77.21,"perimeter_pixels":417.28,"approximation_points":12,"original_contour_points":119,"shape_analysis":{"perimeter_to_area_ratio":0.3665,"compactness":0.3068,"aspect_ratio":1.19}},{"index":1,"position":{"x":220,"y":42,"width":134,"height":71},"actual_filled_area":314.58,"bounding_box_area":682,"image_base64":"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06:39:40"} 
[2026-01-29 06:39:40] local.INFO: Nested area calculated {"data":{"nestedArea":2418.3108999999995},"timestamp":"2026-01-29 06:39:40"} 
[2026-01-29 06:39:40] local.INFO: Mapped objects from Image-to-Text API 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jvjZnsbFBIMxncxaLBcNsoLfOP3MPbnDjI7n+0deByZFBEFUE8AhUtmKLDnUDUSUWgfZrwZbCtOsb6BECWeEyR45S4h8CbhDEfkiHJvwSx7/hyA0F+6dAtwnTCIs1Z1o0Dlx6Kd/6xtfZ2FjgHuScaa2hSSEgEHozPAwzo5ZKAO6ORUAE7k5KinUnpUzKiVNPO5M7nvloVoSDTC7cuzt2fvS3IQLNCRXBzFFNuDsRTvADSRPLcaLWyjQ1IhwRRUQRFfDACfDA3ImAYRhYLBYggrvTemdtPmdjsUGtFRFhmhrT1Ni6ZQu9d8ZxJNdK74Ym5QeE3jtDHWitYWaYBSJC7x0QzI2cMkFgZmhS3APVhJkhIpgZApg7wzAAwmxW+MWnvoJth16HFeFHcDM0JX5ccuHeXfGFj7wSx5GUsN5xd0op9N5xcw459FD2799Pb42UCiln3DrugYgAgrkTHogqi8WCYaj0bgy1gsBiMaKquDt1GGjTSC6F/ZfvZ5jNmFpjU86ZaZoQTYzLJbP5nGlqzGZzlssFgpBzpfdGRJBLpk0NSUprHdVETpnuRhKl9Ya7k1KCgO4dQhAg58w0NU6/33/k1LueyRWEf4eZ8c43/Bq3vv1J3ObE+wQ/IPw75KJ9u+OCP/89FosFpRRSKoQby3HJ2toal116gNlsYJomUkqICNM0Ye7klMi50LshCIZjboQ71p1SC9acnDOi0KaOuxMERBDAMMxoZozjRETgEcyGGVPrLBcLcs6IKCICBOaOpoyZEe4gQgC1VMZxgZujOTHUGW1qmBu9G7UUzA0zRxDcnFILx97mOO77iBegqqwIP8IX/ur98b63vIGI4JS73IMz7/8kUsqsCP8GuXDvrvjch15GHQbcjE1uwdQ6qgoRTK1ThkpvnVorEUGEs7GxYD6fsxyXCEKtA+M4QgTDMNCa0dpEBOSh0FvHzMi58APCOI2oKgS0ZogItVZQobWGBLgbIoqHEAQqwmK5pNaKmaFJEQSPgAhKKSwOjOSSIMAj0KT0ZtSSab2z6drXP4JHnPvrbN16GFcQ/h2XX3ZJvPG3n8b3/mk/EUF4cMe7nMLd7/t0Sh1YEf4VcuHeXfHp97+E2WzGuFxShwEPWCwX5FxorbGpTZ1aC906OWfcnVoq+/fvp9YBEcHMMHNIQimVxWLJDwg5J1SV/fv3s7ZlK0TQpoaZg4J1I8JJKSMokgTrBqKklBjHkfAAhTAHEXLOCDC1jpsDggiklNBcmNoEEaSUiAgQVgQ353pH3JiHPu5ZHHro9biC8CP8yTtfG5/71AfZFBGUXOjWuONd7sQZ9386ORdWhH9BLlzfFX/x3hcTCDlnUkpsLDYoubCpW6eUgnUDAbdARUCU3hsRQUoJM8cDgiDljJkholg3zAIRcA8ggABRujkiwmwYmNoEAbkU2tRovSEiBKCAuxOAu5NTQUQwd0opTONIypmsiY3lEhXBWRG+T0TY5Oagwm1ufyfOfMCTWFvbyhWEH+HLX/xCvPmVzwZVFEFTovdOKQVz56Q7352fP+vJrAj/gly4d3ec/97fBBFSTrg7vXVAiXAQIdxJKSEiGIGI0FqDAE2JTa11IoJcCn3qdDNKzpg5KSmtddwDVcE80KSMy4lhNmDdyDlh5jTrJBVa6wzDgFswTROIoKqoKiCEwDSOgJByIqdMuINA7wYKKoqZ4e6klDj82tfmrmc+gtuceDo/RPgRWpviD1/9y1z8pYtRVdydnDOtN2azOW5GBDzo0U9gx/H3ZkX4IbJvfVd86v0vIWmi9Y6bsUlE6b1Th8rGxpI6FHo3Sq2YORFB0sRynAgPai1064zjiIiSU8GsI6rklDF33I2UMhaOmzONI8Mww8Mwc1QV1YSKsBxHSqm4OeGOhSOqiAqCYm6ICG1qaFI2RQQRQa2VqU2ICIRwo6OO5rTT78FNtt+DOsy4gvBj+tyn3hEfes87EDYJvTdEhKQJVaF1A4KhDjzhGS/h2tc9mhXhCrJvfVd8/J2/TgApJcKDOgyM44S7ExEgQiD8QBARgFDrwHI50qYJBEqpTK2hqghCypnFYkEpFU1CuKMp0aaGqOJmgBDuBCCiuDk5Z5bLJSVnLAJNifBg6hMqirmRcyalhKoSEbg7EUFvnWsdfji32H47jr7JMdzg6OM5/LpHIyL8EOHH9N3vfCN+/6W/xDiNuDtJE+ZGyolxOVJqRQjCgwi41fHH8+DHvABZ4Qqyb31XfOydL0QA1URrHUmKR2DuhDsRgaCoZtAg3AkPujkiQrdORFBKxbpRSqH1ziZ3p3cn54S7k1QxDwRBBBBFCNyDTSIKBGYGIvQwkibcHFGhtcZsNqO1RkSQc6a1Rq0VEMyM613vhjzxV16NiPBDhJ/Cf3/zC2LnX3+eHwiSZqY2MQwD0zShSUmaICCAcOMXz3sGN7nlXVgRVmTf+q744FtewNp8TkSwXE4QRi6F3jsiyoH9G2zbdgitTTiwbdshHLLtMMwMj0BFEYTeO7VWzIxunU2qyvcFOMFQKxuLiZwSrXdySjR3SkrgToiAO53gku98k3GayDljZmxydyICVUU1ER603qil4BGICiqJc5/5Ug6/zjGsCD+lfXs+E29//YsY6sCBAweYzeZY75gbCNRSaa0hgEeQUsLM2L7j5jz08S9DVliRveu74mPvfDEICEprDTcnl4y7IwLmYO4IgoVxvwedyS1v/ziubBd84dP88VteRkQQEZgZKRUinKSJ5bik1kJrnZwzrTVUBdXEve7/WE65631YEX4K47iIP3zlU/jGN76DqiIihDvdDA9nNgyIJBaLDSKclAsCeARJE4972gs44sa3YUVk7/qu+PBbXkhEkFJiXC7IQ6X3jogiIuScGccJdweB+z/kHhx7+yfxQ4SDLzYOXM4r/+s5TFNDRAggqTKOE8NQmaYJVcHcKKVgPYAgp8T222znrEe/kBXhp3D+R98cH/vge+m9U2ultcYwDIzjSEqJTRGBiACCqhAR9NYwd37mjHtxxv2fworI3vVd8advexHmjgDTNJFLIdxBBDfDI0iaaL0jAvd78N3ZfvJ5rAhXrnjDbz2Nr331YkSETRGBiADBJndHRNmUUsLdEVVKzjz1ua9nvraNFeEn9IG3vCg+8+nzyTmzycMpuTCOIzllunVSSiD8QATuQUqJiOCwww7jqc99I5qSyN71XfHht/4GIoK5EwFuhoUjQM6Z8MA9aK0RwP0fdg92nHweK8KV7BMfek188s8+jIrSW8dxVBIQ5JTwAFXBzBARIACh987Z5/wqtzrhzqwIPyEzi4+867f47GfOx8wQEUSElJTWOr13cs6oKuFOShlzY5OIIKo84Zd/gxseuR3Zu74r3vfG5+HhEIGIEgEpJQgwczyCnBKqytQaD3z4Pdh+4rmsCFeyfXs/HW9/7W+yKafE1BpEYOHkXFBRxnFJTolcKm4dEcEjuP3Jd+a+j/i/WBF+cmHWefcfPo89f7sLEUUEIgLrRh0KvRsRgaqyKaWMm+FhqCYe8LBzuO0d7oPs3bMz3vMHz+MHBBFAFAg8gk29d2qthDvdnQeefQY7TjqXFeFKtv/yy+KVv/ZYltPEbBiIcCJgHEeSJjQpZsYwVKapkXKi9w4BhxxyCE957h9QyiD8dOKS73yD17/0aYzjCCKIgHVDVMi54O703hEEj6CUTO9GTonTTr8Xp9/nCcjePbvivW98AeGOiGBmaMlscnfcHXODAEEwN85+1M+x/aRzWRGufPGmVz6Fr3zpYlSVIMiaQAW3AIJ/1nsDhJQUEFQTv3ju07nxzU5lRfjpxCf+5FX8xcc/DgG5ZMZxJOeEe+DmpJwQwCMQEXrv1Fo59rhb8+DHvQBZ37Mz3vvGF4BDN0MVPAJUEBEEYdM4jpRSCOCss89gx0nnsiJcBc7/szfGx/7H+xEBEcHMcHc0JQjHPai1YmYQkHKitYaocsqpd+HnHvKfWRF+Sl/ee3780Wtfhqrg7qgqvXdKKfTeERFEFQW6dUAQUW5685vwyPNejqzv2Rlve82zgWA2mzFNE5uGOrBYLsg507uRkgKKe+ehj7w32098EivCVeDL+74Q/+21z6f3TikVEWhtQjQhQETg4WTNaFLa1PBwIoKt27bxtOe+ntl8q/BTuvgre+PNr3omBPTeGWYD0zgioogIqoq7k1IiPNCkhDvXvu7hnPurf4Cs79kZ73r9c4kINokq1jspJUDo1lFRkiY8HHfjIY+4F7c6+VxWhKvANC3jt5//WDYWG+RccDciAndHk2LdEQnMHBElJcXDEQR35yGP+U/c+nb3ZEX4KfzdVy6IN7/qOZgZZsYwVFrrDHXA3DAzRIXeOrVUPBx358gb3ZAn/MrrkPU9O+Mdr3sO7qCqiEAQbBKE3htb1rayWC5BIKnwoLPPYPtJ57IiXEXe9+bnx19//vOICLVWxuUIAiVnzJ2UEtM0oarknBERNCnTOHGzm9+SRz75JawIP4UL93wi3vr7r8DNKaWgIrTeEVFSUtyd1hoiggjUOjBNIze7+TE86j+9Ctm7Z1e86w+eR0QQEdQ60HvDzMg501ojpYR1AxE0KWc97O7sOPk8VoSryN6//pN411vegJmhqpg7EYEKK0IphdYaZkbOhZwTvXcgcA8e97RXcNRNbsqK8BP65Ad+Pz7x8Q/i7uSSadOEasK6McwG3IwA3J2IYDab09rIjtvejgc95vnI+p6d8dbXPJucMhGOqgBCmxqalCDorVNyARFyTjzwYXfnViedy4pwFbn0n74Rv/VrT0Ii8IDeG7VWeu/knIkICFBVVIXWO0kTHo6ocNIpp/LzD/sVVoSfwDQu4lUvfAKXXXopKSU2RQRmhqoiIqgqBIgKZoaI0HvnZ848k5/9+Scj63t2xlt+91cptWBmlFwIgmmcKKVgZogKbZwYZjPGceThj/55dpx8HivCVSf+6NW/whcvXMfdUU3krCDCuBxJKbHJzciloKq4O6qCe5BS4vG//Jtc/4ibsyL8mD79P98VH3z3m9k0DJWpTQiCiJBSwt3JOdNbQ1NCRLBuBMEDH34Ox9/hfsj6np3x3179TCKCXDIiQps6pRQQcOvklHFAABHhrIefwY6TzmVFuAp94a/eH+9842uYz2eYBd06tRbCHRFFVZnahHugIogIEUFKiYjg2B3beeg5v4GIsCL8CF++cE+8/fXPxczZtFgsyLkgCkkTrTdKLoQ7rXdSSpgZs/mc3jtPfPqLuOGNtiPre3bG21/7HEQEVcXcEATzjkpGVbBu5JKIAFXlrLPvwfYTn8SKcBXaOPC9+J0XPolxHIGgtY67k3Ki5IKZoZoIHAIQoU2NiKCWjANn3vehnHr62VxB+Ddc/OXPx7vf8HI2NjYIDxBwd0QEs04pld4687UZrXWCgIDeO6UU1ras8UvPfzMpZWR9z85422ueTUoJM8M9qDVj7oRDSkLvRkqJbsZQBx7w0J9lx8nnsiJcxf70vS+P/+eTfw6iqAhmHU0JMwcCAoZhYJomVJXwwHFqrfTWEVHuff97s+Oks1lb28qK8EMuv+y78emPfpDPnP9exmkk50xEoCmhImxyc4JAREgpYd0IAg+n5ELvjdPuenfOOOtprIis79kZb/29ZxER5JQJglIKrTU2uTsiwiYRAYIHP+JMdpx8HivCVezrX70oXvuyp5OSIiKklOjWUVEigtYapRQE6L0jqhCAQOudLfMtLJYbbDvkMI692Q6uc8Nj2HL4YWxccilf+9o+LrroC/Ru9N5JKQHCJhFwN1LKWO+UWlksFpRc0KxYNzQpBEzTyOOf8l855tiTWBFZ37Mz3vqaZ6GqCIKbgwSqid47CBCQUmKTJuXBD78n2098EivCVS8+8Jb/wuc+8wVEIefCNE7UWtjkbqSUGccRM6fWgpvT3Sg5kXMhIiACM8Mj8HByypRSEIFpbJgbORfCHQQiAk1KEqX1TskZc2eTiLJJgKlNXP+GR3DuM3+PlDIrIut7dsZbf/dZzOYzIBinCevGMAy4OaLCYrHBfL6GuxMRPOxR92b7iU9iRbgafO1Le+KNr342EYG74+7knDEzSslEgFkHBBHB3RERRJWkShAQMI4jOWfcnYggAmotRAQRgaiiIkN2HawAAAVoSURBVMxmAxsHNqjDwDRNuDualFoGxnGJihABqoJHcJ+zzuPEu9yTFWFF1vfsjHf+/nOJcHLOmDlBsElFUVWSKlNrRAQRwcMedW+Ou/1/ZEW4esSfvucVnP+Jj1JrpbVGrZWpTRBBzoXeO5oSpRTaNLEpwgEhIiilEuGYOZqUcCenhLsjqogI3QzcSTkjAuFB7x1EGIaBCGeaGhFBKYWI4JBDr8WTnvlqhmHOirAi63t2xjtf/1zCHE2JcTmSa4EI/pmqEgHmnaSJBz38DHacfB4rwtXke9/9x/iDlz+V/QeWmHdUFNVEuJNLZpom3IOcExFOa53ZMMPcCHcCEBFSSrgZmhJEsMkJwgMRwcwopdBaZ742Y7lYknLCzEmqRAQI3ycI93/EEzn+pHtzBWFF1vfsjLe/9jmoKiLCpjZOoIKI4GYggori7iDw0Efei1uf8mRWhKtPXPD5/8G73/L7uBnuzqZcMirKNE5sqrMB6x13R1Mi3BBR3J2UFPdAVYkIuhnCiggC9N6pdSDCiQhUFXNHAHNHRVAVRJQIZ8ettvOgx78YVWVFuIKs79kZb3vNsyFAkpA1s1gsyCVjvSOaEIGcMuaGu/PQ/3Avbn2HJ7MiXI1i5UPveTGf/eSnGaeJWivdjKSKiODupJQIdzQleu+UUkCEaRqptbLJzTAPBFBV3B1BQPi+cEdTQkRQVcZpgnBEE4oQBIcdeiiPftqLOPzaR3EF4QqyvmdnvON1zwEE94AILJyhVqapkZISARHObDaj985ZZ5/BjpPPZUW4mi02DsSbXvWf+cdvfhNBcJxwR0QxM1JKmBmlFCICCKbWGOoMs46qoJro3TAzSk4EoEkJD3o3ckm4OSJCRODu1Fqw7ng4KSkPf8IzuMX207iC8ENkfc/OeOvvPouUE5vCgzpUeu9EQBBYa5RaMTfCg4c+8l7sOPk8VoSrX3z3km/x39/wHP7+779FzonWO+FBzpmIIKWEdcPD+T4RclLMnJQSm3LOTOOEu6NJiYBaC+5GBKgq0zQhCCklRCACzJ17n/UI7njXh3AF4V+Q9Qt2xjte919IOWFmuBs5ZVrvpJwgBHcjIggCM+MRv/gL7DjlPFaEa4a45Ntf5W2vez7f+fZ3gWBTRCCq5JSICNwcd0eSEu54OCUXeu/UUtGkjONI7x1VRVVRVXrvaFJqqSyXS+pQmcaRYZhzt597OHf52QdyBeFfIesX7Iy3ve7ZCAICEkLgmDkiwqZaK5t676gqD3jo3bnNHZ7MinDNEd+95Ju8/62/wVe+eDEpJcyMlJRuhiDUWmlTY5gPbGxsgIMmIeeCmSEipJQIgk3WjQjHPcg5s8k9EAlyLvz8Q57I7U65J1cQ/g1yySXfiot2/yVuDdGCiBDeiOhomhERgPD/igU3veXNuN4Rp7AiXLPEcrnBh9/zWnZ//nwQMDPcDETYVGultw4CKsImcyflBA7NGjllckp0MyLArANC741hNnDTW9yC03/hPI486hiuIPw7JCJYCX5ywjVTsPLFfX/N+R96E1/60pcptZJTYjkuEYRNJRcQMOuYOaUUrHdQQULQrCRVWuuUUhjHkVtu38HtT7s/x+04BRHhCsKPIBHB/6bCrPPVi87nM5/8KF/+4j6mNuHmbJrP54zjiIigSSEEEaH1CRUlIhBNHH744dzmxLty3G3uzA2OvBk/RPgxSUTwv7HgCt/9zj/w1S99gW9+dRdf+dKXuPTSy1hsbCCimHWGYWC+tsbali0cedSNud4R2znqZju4/g1vSsqZHyL8hCQi+D9E8EPG5YI2bjAuRkSEYeuMkteow8C/Qvj/QSKC/4MF/1/CQfa/AHEPT5lTSc9XAAAAAElFTkSuQmCC"},{"id":"2fb3d7bd-00f2-4ff3-a0f5-5ce008bdb2a8","height":19.02,"width":35.89,"perimeter":134.83,"area":314.58,"image":"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"},{"id":"fd53c3e2-c914-48e0-8771-0270ffb70aaf","height":19.02,"width":17.41,"perimeter":116.35,"area":210.61,"image":"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"},{"id":"28df1a3e-695c-4ac0-90e5-d30bec76c2ac","height":20.09,"width":19.29,"perimeter":102.66,"area":183.57,"image":"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"},{"id":"7bd7bb99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eter":33.34,"area":31.5,"image":"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"}]},"timestamp":"2026-01-29 06:39:40"} 
[2026-01-29 06:39:40] local.INFO: Number of letters detected {"data":{"noOfLetters":8},"timestamp":"2026-01-29 06:39:40"} 
[2026-01-29 06:39:40] local.INFO: Perimeter calculated {"data":{"exactPerimeterSum":665.1099999999999,"perimeter_in_feet":55.43},"timestamp":"2026-01-29 06:39:40"} 
[2026-01-29 06:39:40] local.INFO: Actual filled area sum calculated {"data":{"actualFilledAreas":[305.0,314.58,116.3,210.61,183.57,54.03,41.72,31.5],"actualFilledAreaSum":1257.31},"timestamp":"2026-01-29 06:39:40"} 
[2026-01-29 06:39:40] local.INFO: Occupied area calculated {"data":{"conversionFactor":0.00694444,"occupiedArea":8.73},"timestamp":"2026-01-29 06:39:40"} 
[2026-01-29 06:39:40] local.INFO: Average character height calculated {"data":{"avgCharHeight":15.47},"timestamp":"2026-01-29 06:39:40"} 
[2026-01-29 06:39:40] local.INFO: Original image dimensions and ratio {"data":{"originalWidth":452,"originalHeight":122,"ratio":3.7049180327868854},"timestamp":"2026-01-29 06:39:40"} 
[2026-01-29 06:39:40] local.INFO: Calculated sign dimensions {"data":{"widthOfSign":"120","otherDimensionOfSign":32.39},"timestamp":"2026-01-29 06:39:40"} 
[2026-01-29 06:39:40] local.INFO: Image to Text processing completed 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","scaled_width":23.84,"scaled_height":20.09,"exact_perimeter":111.77,"approximate_perimeter":102.87,"convex_hull_perimeter":77.21,"perimeter_pixels":417.28,"approximation_points":12,"original_contour_points":119,"shape_analysis":{"perimeter_to_area_ratio":0.3665,"compactness":0.3068,"aspect_ratio":1.19}},{"index":1,"position":{"x":220,"y":42,"width":134,"height":71},"actual_filled_area":314.58,"bounding_box_area":682,"image_base64":"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"},{"id":"2fb3d7bd-00f2-4ff3-a0f5-5ce008bdb2a8","height":19.02,"width":35.89,"perimeter":134.83,"area":314.58,"image":"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"},{"id":"28df1a3e-695c-4ac0-90e5-d30bec76c2ac","height":20.09,"width":19.29,"perimeter":102.66,"area":183.57,"image":"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"},{"id":"7bd7bb99-3c7a-4f7f-ab34-070d314772f1","height":8.84,"width":8.57,"perimeter":52.67,"area":54.03,"image":"iVBORw0KGgoAAAANSUhEUgAAACAAAAAhCAYAAAC4JqlRAAAGa0lEQVRYCb3B78vddR3H8efr/fme60opMPJHuuaiH0SQYGxTXGKJlPkj3UT3q6S5TUkxmhZBoOQmxkrdlEiIgrpRUN4MuuGtCPoH+kPO5s6VeZ3z/bzfr87ZFsaK7th6PPTO397mr2/9yJvvzFHAZH0dV4JhvhgxRhIK0VpQZXo30aBsykXTQNlkFUFgFxh6dhZZNAVZiQFnse0zt7LzrqMsSRuzM/zlzeedZXoWrQUrfeysX/EBFosRbAz0noSCclE2ZkUsFp21yRrjOIIgKxHCiD6OSEFVkZWgxmdvuoU7Hvg2S9LGbMqff/e8FY3MZKWyEwrSkC6qzGQyYcxOjp2ICYvFgggRBEmxGDtVRgi7mM8XtDZgTC8jhMuMvfjc9tv48kPHWJI2ZlP/6ffPkb3ILBTChmiNzGIcRyIaGMqFC9JFRDCfzxFBRJCVVBoQiQFRvShDzw4WWYkxN++4nbv2fIclaWN2xm/95gcEghCZSWYhBa4iWmNcdKoKhbChsthczJkMaywWC1BQNhCAmC/mRDRsY5vWBjbnm0QERtz0+du4++FjLEkbs6n/+OvvA0KI7IkNMQy8++67IDFpE6oKC+abc4bJhL9vbtJaowpsU2UqCwkKKBunidbo40hrjbEnWNx86+189eFjLEkbs6n/8MvvkVnYgCCzMAaLzI40UFWUjQGnKcA2vSdlY1ZEVQIiFJSNEJmFbRSiu9h+y+3c88izLEkbs6nffOMYkpBg7MmkDSzGkauuvp4v3HsUO7lAGIMFmPPKWIBBIVygAKdRE14AAQTQDYO48oMf4uprbmRJ2phN/ebPnsE2tulVVBUu+PC1Wzn41E+4DMRFms2m/u3rT2NEZZFlxjFZW5vwketu5OCTJ7lIXAaazab+1ctPUWXKJlqjZyLDtTds49GnX2ZJXCaazab+xclvgUTvSURQZezihq2f4tGnf8xF4jLQ7NzUPz/5LWxji8oEhG0++rFt7HviBLZ5H7S+vs4wrPGfaHZu6jdeeoLqplwoArsoGySGYUJVcZ44TwoqkwtMGwZy7JRNtAY2K9EakvjKgwfZftuDLIlLaHZu6tdeOEJrgQ09O601yoUkQGDOq0qQsMFlhiHILMqmtaCyaK2xUlVEBLa595FD7Ny1myVxCc3OTP36S0cQQbmoMisCDChEZSEJCWxQBJWJJFaEyEoigqwCm/MkQuK+vYfYuWsPS+ISmp2d+rUXjzAuRhSBEBa0CKoSCCJE7yOtDdhGEq4CCYVwGUmAsfk39+09xM5de1gSl9Ds7NSnjx/BmBWXISAUVBbGtNYQUDYrVUVEQ4LMBIEUYINAiIiGnbRo3P3QN9ixaw9L4hKanZv65ee+CRIhYSAkQNywZQt7jzyDVIB5jwADAswF4j0GxD9N1q7hiiuvYklcQrOzU7/ywiFCgSRchSSqzJZtn+DxZ0/zPon/QrO3p37txFGyJ9GClZ6dtcka111/I49/9zQXictAszNTnzrxGDbnSaL3zjAZ2LL1kxx95lWWxGWi2dmpX/3hIRRBZjIMA2B6Jlu3fZrHnz3FReIy0Ozc1KePH0EEWYlsEEtiy9aPs/+JF7HN/5jW19dZW1tHszNTv3L8McQFkrBNSBRmaBMykwghCTAYspJQUFVMJhPGntjF2mRC7x0QEigC29gmInAZArbfsZ97H9iLZmenPnX8MLYBAaZFI7OjFkiCAmSyTEjYxjYtgnQhhBDlQhJSAKa1RlVigyTswggBO+48wH0P7EOzM1O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OfSign":"120","otherDimensionOfSign":32.39,"width_of_smaller_line":20},"timestamp":"2026-01-29 06:39:40"} 
[2026-01-29 06:39:43] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_depth":"1","sign_type":"Flat Cut Acrylic Letters","mounting_type":"Flush/Stud 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\",\"boxArea\":\"478.95\"},{\"id\":\"2fb3d7bd-00f2-4ff3-a0f5-5ce008bdb2a8\",\"width\":35.89,\"perimeter\":134.83,\"height\":19.02,\"area\":314.58,\"image\":\"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P23Xgo+x/ycNbvsR9bMX4Ik8QF3zldb3/jX9B7J5W4Oa01IoLMwMyopTIfBkopgMgQk+mUpz//z1m3fk8WjDs2raxsZjZbxVaMH8Mkcebn36OPfuAkIoNaK+M44u64GbijFAb06GQmpThmzm7rN/CMF56AmbFg3AmZJD74jj/XGV/4HKUU3B13ZxxHlEmplVoq82HOkpmxZGY84BcfwcN/5dksGHdSJol3/u2Lde7Xv0FmIoG74cUZ5yOlFsyMzMTMMDMk4e485vHP4T6HH8mCcSdlkvjrP3uGrrj8ckqpjH2g1YYywVgwEAhRayUiaa0wHwae/V9fw66778OCcSdlmckr/+A49d7pvdMmjRiDUgqpxN0ZhoFVq1YxzAdSQa0VM+f3XvoPrF6zHQvGnZRtvukGvfLFvw4YpTgCMoPiBTPIFJmJmWMGmYm7s/0O2/O8//4W3AsLxp2UXXP1VXr9nz6djMAwSnXA8OKMw0gpzjAf8eJ4KaAkU+yy6+489w/fxIJxJ2aXXnqx3vyqZ7M0m83YvHkzrVWQIUREsBQRzGYz5sOcVhvrdtuD//Ki17Ng3InZJRdfpL9/zW8TGdTaiAjcnfl8TqYoteBmmDmlOPP5QGuVdev34LdedAILxp2YXX3VlTrh5U9HKcwNwxjHTq2FVKIU7s50MkHAMAxkJut228Bz//BNLBh3YnbD9Zv02j9+KhGdzKS1RmYCAhw3IzIwM5bcnMhgu+235Xdf8lZsgTsxi+h65YuPZ2XznFIcM8PMmA9zZtMZEUFEsFRKwd2JCCbTKS946VuZzmYsGHdSJonXvOSJum7TJswMDFptrKzMAQHGdDphHAeUQohJm4LBs/7g9ey08wYWjDspk8Tfvfa5uviCiwFhbkRPWitED7wUSnWiB713JFFrw915wrNexN33+QUWjDspk8QH3v5nOvP00yilYGZEBJIopdBaI6KTmbgXMG6WkRx7/K9z8OHHsWDcSZkkPnvKP+pfPnUyY++4G5lJpshMSilkJm0yQZmYGZmBEAduvA+Pf9rLWDD+PyCJzE4pjVvLJPGtcz6jfzrxBMZxREDxgjk3ix5UczAjlEwmjXEcaZNGtcpvv+TvWLV6WxaMO7hrrr6QL3zo9dzloEdr/3sdzmQyY8H4EUwSV195id7w8ufQo+OlULyQEbRJIzNwc4ZhQIjWGkpRzHB3Hv/U57D3gUewYNzBfecrH9Jpn3gPZsbatTtw4KH3Z9e9j2bV6jUsGD+ASUILJ/zpU7nu2k1EBu4FM5CEBO7GUmaiFKUUpMSA/Q/YyOOe8acsGHdgWvjEO/+IKy+7BEVi7mBGKY2Nhz+UvQ86klVrdmLB2IpJYukj//TnOuOL/0JEgIw2aZhxM0nUUunjiLtjZmQGBrQ64WkvfCk7rTuABeMO6uILvqHPvufVRHbcK8rEzBh6x9yYTifsedCDOeCQI1m743oWjAWTxNJXz/qM3v2Pr6WWgrkREbg7ZoZjuDsRgVK4GW0yIbNTauGgg+/FI3/1v7Fg3EF97v1/qQvP+xppwnDmKysIqK2iTDIFAq+Fe933EPY9+Di2X7ubmSSWNt+0Sa9/2TNZma9QSyWVjOPIZDqhlcrmzZtxd9yMUgqk8OpISSmVxz/jhdzt7vdjwbiDueyis/SJd72BcRzxUogIzJxMISUGRCSYgcTQO48+7nnsdeCDzCTxff/8jy/X2Wefjrvj7qQSS/DimBnFDC+GJNwdMyMymLYJ2+2wM8c/6xWsWrWGBeMOYhgGffykl3Dl5ZfSe8fMMHeQEE70kVobPTqlVCKSlWHgCc9+JTvvuhcmie/79jf/RSf9z7/A3TFAEpPayEwwUVsl+sh0MmU+zJlOZ4zjyGTSQOKA+9yXh//K8zEzFow7gLM+806d9cUPUUsjeqe2xjiOlFIYepBKzAylwIxhPjCdreZpL3ozbTLFJPF9fRx14ut/hyu+ezm1FpQCM6IPrNlmDfNhQJm0VjEckSiTjGA2m9IzOPKRj+We9z+eBePn7JJvfUEfe/8bUQoJzAwzYxgG0iBCeCkohVL03plMpuy5z7486gkvYcFMElvRN/7tJD74rveBGW6GuYhMkCilkBKtOG7OOA601lgSotWCGRx+1G9wyOFHs4Xxc/Dd876uj7//NfQ+ED2QRCLGntRakcRkMmFl80BmEhGYGZHJgx/+q9zviONYMJPE1m668Qad+NrnsbKymYhAEj06rTZabSSBIiheMDNKKUR2kGiTRmZSqnPfBzyagx/0eEopLBg/Q+d/+0x99oNvYj6f0yNYKu5EBOM4IpacDFGq416YDyNuhoDffO5LWbd+fxbMJHEL+uqZ7+TD734PjiETxY3oyXQ2YT4fmE0mQGLmZCaSmM4amaJWh0hKKdzl7gfxgEc+lW22X8eCcfvTl7/4KU7/5IlEBpiREoYhjIwgMnBzVlbmTGYzIoKUQCCJ3XffwK8/97W4Owtmkril+XxFbz3hd7jiu5dRW8MRk0nDzOi9U0slM6itIkQtBSxRJNM2wd3pPQAxnc64/yMey14HPoJSCgvG7eD666/WqR86iUvOO53eR9wrkhAiQ0QmXhwDMoWA7MnQR9wdN2M+dI5+7FM45IHHsmAsmCR+AF143hd474mvIyPw4rTaMGAcO1JiZtTmZCaTyQRI3JxJLYCxFBlIonhh7S7rOeB+j2Gf/Q+l1MaCcRuYz1f0tbNP5atfeB/XXnsdZoYklODFyUzGsbMkoNZKRpISYER0ljLEttttw1N+7wS22XYHFowFk8QPoY+977V86ytn0HvHi1PMqa0yjgNSYmZMZxOGlYFaCrUUpMSs4A6ZYjqbMI4jSxHBDmt3Yr/73J/d9zqYndbtg3sxfgpXXXmpLvrW5/nSFz/F9ddtYtImDEOn906plcxkHEdCotXGkiS+r/cOGLU2MjvIeMjRv8RhD3k6WxgLJokf5sYbN+ldb/x9Nl17DZmi1oI5uDtLvXdacwpO753WKpgT0XFzppMJMui9A8LNKbUwaRNW5nO2X7uWnTfsy64b9mDNdnuwerudWbNmR0qd4W4YZplJxFw3XHcVV15xEVdfdgFXXvxlrrj0clZW5pTSiAgkISUpo8cIOJIoteIGPRIkMoW7g4zMwEtlmM/ZcccdeOLz/4ptttmBBWMLk8SPoIsv/BqnnPRqVjZvZuwdzFg1m2IGfezUWiBFZlJqYexBdcfMaJNG9KC4Y+YYomcymTbGcSRTmEEplehBZmIGXiZMZo1xDKKPRA/mvdNqA4QE8/lArRXM6eNIZiIEOL13Wm0Mw0CphaWIAHPGsdPaBBCZAkTP5FHHPZtDDzuKLYwtTBI/hr56xsc59SP/QGZiZnhxanEsRakFpcgIvBQyk1IKkliSwAxSiZnRe6fWQi2VCJHZkYxxHJitWkX2jtyITMYxqLUiiXEcqaUy9mDVbBXzYSAykIyllDAgMzEzBCiSMTrVK+5OJkQEILqS4oXI4N6H3ptffsLLMDMWjK2YJG4FnXHq2/jXz38Ux3FE7yOrZjPG3imlkJmkRHXHzBGij51aC5LAjMwkM5itWk32TkqsjCOtVsydHsk4DEynU3rvSMIoZCZSgjmRgWQsFS+M0SluSGIcOwgwQxIZorVGZpCABHVSyUgiAwQ7rF3Lk3/n1Wy77Y5sYWzFJHFraOHzn3gHXz/jFLJ33MDMcHfMjFYrPYKIQJmYO25OKokIzAwBQrTaGHtHAnMnQiAQwjB6HzE3ammkkpTIhMxkSRJLkYkycXfcjAgoxYlMQkIpMMhM3B1JmATmyMR0MuU3nvNydt+wN1sYt2CSuJW0wFmnvo1//d8fpxUjIhHCMMy4We+dyaQRmZgZxQvK5KaVFVptyABBGkQPSq0MKyOSmE6nSMk4djDIFJJwd6xUIgIkIpNiTmaSCSJptZEpVlZWKLVixRnmA23SiAiWSnHGsVNKYfXqNfzKk17A3vsewhbGD2CS+AmIha+f/UFOO+XdKEVmIBlmMF+ZgxuT6YSxB9ULkQkIMMwgU6wMnVYrxZ3MBIyIwNyYTqeszOdEiugdNyclUkKZ1FqJSGppSEJKJMhMhCi1Mo4dL44kljISL87SOIxss912HP+MF3PXPe/JFsYPYZL4KejCfz+DT7z7TcxXbkISZs44jmyz7RpWVlaYDyPFCqUUZIAgIwGRafQ+YmaUUjA3JOgRCBE9yUy8FJSJmRE9iExqLSDHMJIkU5gZmYHMcHd6dCZtAoKhD5RSUQozY8PdNnDM8S9k1932YgvjRzBJ/JR03aYr+fwpb+Gi877OyubNtNaITMjEzOghJq2SEoYhwTiOlFoZ5nPMHUmYGePYMTMww93pY8fMkcDMcHeWVoYBMxaM3jutNYo7wzhQaiUymU4mzOdzSq1ED2qt9D7y4CN/kfs/7LeYrVrDFsaPYZL4D9AC3zznc3zx429jZWXOfGVOppjNVrF5842UUlnqPZBEmzS8OsN8JCViDGqr9N6RhJlj5mQGtTT6OGLm4MJLZRhHxnEEg2IFc8PdQZApBLRWGcYBxM1232M9R/3yk9lzn8PZinErmCT+g8TCTTfdwLfPeg+f/9QnGYcRd0MSkUkqyUjMndlsyubNA2YgwIBhGHE3zJxaG+PYAWHmZA+sOOaOF6f3Tu8ddweBAJchCZnAHDPRe7B27Y487Jij2f+ex9ImU7YwfgImiduIWNh07fc475yTOeuLn+e6TZsYhk4phdYa4zgiYBgGijm1VtwLEYmZsRSZLI3RMTMkUWul905EUEohI6mt4l7ICHp0WmvM5wNeCuvXb+CBDzuKvQ86kul0NVsxfkImiduYWJivbObb3zyd/3POqXzn3HNZmW9mOpmSmcxXVnBvGGBeMIPMRBIZiRcnEBFBrZVxHIkM3Bwzw71wM4nIxMzYfoe13PNeD+CgQw9jt7vcE3dnK8ZPySRxOxFb3HD9VVx43te46FtnccmF3+ba713LMJ8jQBKJSImIwDDMDXOjeGGpjx0vhVIr4zDHrbDd9tuwbv2e7LX/Rva8+0Z2Wb8fpVS2YtwGTBI/A2ILSVx37VVcedlF3LTpIq644mJuunFOjpu49nvXk4KMEbfCdNWM1WtmtMn2bLN2F9btspbZmp3YYae7ssOOu+JeuAXjNmaS+DkQtw3jdvZ/AXEFZUbrf2AhAAAAAElFTkSuQmCC\",\"boxArea\":\"387.54\"},{\"id\":\"7bd7bb99-3c7a-4f7f-ab34-070d314772f1\",\"width\":8.57,\"perimeter\":52.67,\"height\":8.84,\"area\":54.03,\"image\":\"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\",\"boxArea\":\"75.76\"},{\"id\":\"b2b21340-1c72-49a9-8265-081bd5d43015\",\"width\":8.3,\"perimeter\":44.79,\"height\":8.84,\"area\":41.72,\"image\":\"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\",\"boxArea\":\"73.37\"},{\"id\":\"bc7c5884-4fd4-4631-a3c2-7576669fbfbe\",\"width\":8.84,\"perimeter\":33.34,\"height\":8.84,\"area\":31.5,\"image\":\"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\",\"boxArea\":\"78.15\"}]","mockupCreationType":"single","no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","material":null,"application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39"}},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: API Input Data Collected {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","sign_depth_or_thickness":"0.5","sign_type":"Flat Cut Acrylic Letters","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39","material":null,"application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null}},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Looking up SignType {"data":{"sign_type":"Flat Cut Acrylic Letters"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Retrieved Material Formulas {"data":{"sign_type_id":10,"formulas_count":27},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Retrieved Variables List {"data":{"sign_type_id":10,"variables_count":10},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Price Map Constructed {"data":{"price_map":{"material502298":0.5964,"weight_material502298":0.221,"material500287":0.7286,"weight_material500287":0.332,"material500918":1.3929,"weight_material500918":0.553,"material502581":1.6214,"weight_material502581":0.664,"material500695":2.8464,"weight_material500695":0.885,"material500414":4.4643,"weight_material500414":1.326,"material500636":7.7857,"weight_material500636":1.99,"material502107":11.4607,"weight_material502107":2.809,"material500611":0.0062,"weight_material500611":6.2e-6,"material500214":0.0025,"weight_material500214":2.5e-6,"material501055":0.0155,"weight_material501055":1.55e-5,"material502098":0.0286,"weight_material502098":2.86e-5,"material502079":0.0163,"weight_material502079":1.63e-5,"material502350":0.0254,"weight_material502350":2.54e-5,"material501680":0.0076,"weight_material501680":7.6e-6,"material502131":0.0271,"weight_material502131":2.71e-5,"material501803":3.6821,"weight_material501803":0.629,"material500379":0.132,"weight_material500379":0.09,"material500419":0.16,"weight_material500419":0.11,"material502106":0.13,"weight_material502106":0.16,"material502567":0.13,"weight_material502567":0.21,"material502564":0.18,"weight_material502564":0.35,"material500154":0.4,"weight_material500154":0.38,"material502074":0.8,"weight_material502074":1.0}},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Variables Price Constructed {"data":{"variables_price":{"variable54":0,"variable55":0,"variable56":0.75,"variable57":1.1,"variable58":1.2,"variable59":0,"variable60":0,"variable61":0,"variable62":0,"variable63":0}},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Final Variables Merged {"data":{"variables_count":170},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Initialized items collection {"data":{"count":0},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Merged material items {"data":{"formulas_count":27,"items_count_after_merge":27},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Merged variable items {"data":{"variables_count":10,"items_count_after_merge":37},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Sorted items collection {"data":{"items_count":37,"first_item":{"type":"variable","id":54,"expression":"NEAREST_INCH(sign_depth_or_thickness, sign_type)","dense_weight_expression":null,"name":"Sign Depth/Thickness","var_name":"variable54","price":null,"description":null,"sequence_no":1},"last_item":{"type":"variable","id":63,"expression":"totalCost * variable57","dense_weight_expression":"totalDenseWeight * 1.1","name":"Total Cost","var_name":"variable63","price":null,"description":null,"sequence_no":37}},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Initializing MathExecutor {"data":{"variables_count":170},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: MathExecutor variables set {"data":{"variables_count":170},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: NEAREST_INCH called {"data":{"input_value":"0.5","sign_type":"Flat Cut Acrylic Letters"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: NEAREST_INCH result {"data":{"input_value":"0.5","closest_inch":0.472},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Sign Depth/Thickness","expression":"NEAREST_INCH(sign_depth_or_thickness, sign_type)","result":0.472},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 2mm Transparent 4 ft x 6 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.079, weight_material502298 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 2mm Transparent 4 ft x 6 ft Pakistan","expression":"if(var_formula54 == 0.079, material502298 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 3mm Transparent 4 ft x 6 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.118, weight_material500287 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 3mm Transparent 4 ft x 6 ft Pakistan","expression":"if(var_formula54 == 0.118, material500287 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 5mm Transparent 4 ft x 8 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.197, weight_material500918 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 5mm Transparent 4 ft x 8 ft Pakistan","expression":"if(var_formula54 == 0.197, material500918 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 6mm Transparent 4 ft x 8 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.236, weight_material502581 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 6mm Transparent 4 ft x 8 ft Pakistan","expression":"if(var_formula54 == 0.236, material502581 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 8mm Transparent 4 ft x 8 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.315, weight_material500695 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 8mm Transparent 4 ft x 8 ft Pakistan","expression":"if(var_formula54 == 0.315, material500695 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 12mm Transparent 4 ft x 6 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.472, weight_material500414 * occupied_area, 0 )","itemDenseWeight":"11.57598"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 12mm Transparent 4 ft x 6 ft Pakistan","expression":"if(var_formula54 == 0.472, material500414 * nested_area * variable58, 0 )","result":"89.9467164"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 18mm Transparent 4 ft x 6 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.709, weight_material500636 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 18mm Transparent 4 ft x 6 ft Pakistan","expression":"if(var_formula54 == 0.709, material500636 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 1\" Transparent 4 ft x 6 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.984, weight_material502107 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 1\" Transparent 4 ft x 6 ft Pakistan","expression":"if(var_formula54 == 0.984, material502107 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Epoxy Primer Pakistan","dense_weight_expression":"(  (  (  ( occupied_area * 2 )  ) * 40.49 * 0.66 )  ) * weight_material500611","itemDenseWeight":0.0028928614968000005},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Primer Pakistan","expression":"(  (  (  ( occupied_area * 2 )  ) * 40.49 * 0.66 )  ) * material500611","result":2.8928614968000006},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Master Thinner Pakistan","dense_weight_expression":"(  ( occupied_area * 2 )  ) * 40.49 * 0.13 * weight_material500214","itemDenseWeight":0.00022976050500000004},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Master Thinner Pakistan","expression":"(  ( occupied_area * 2 )  ) * 40.49 * 0.13 * material500214","result":0.22976050500000003},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Epoxy Hardner Master Pakistan","dense_weight_expression":"(  ( occupied_area * 2 )  ) * 40.49 * 0.2 * weight_material501055","itemDenseWeight":0.0021915617400000004},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Hardner Master Pakistan","expression":"(  ( occupied_area * 2 )  ) * 40.49 * 0.2 * material501055","result":2.19156174},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 )  ) * 22 * 0.426 * weight_material502098 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , (  ( occupied_area * 2 )  ) * 22 * 0.426 * material502098 , 0 )","result":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 )  ) * 22 * 0.234 * weight_material502079 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , (  ( occupied_area * 2 )  ) * 22 * 0.234 * material502079 , 0 )","result":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 )  ) * 22 * 0.21 * weight_material502350 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , (  ( occupied_area * 2 )  ) * 22 * 0.21 * material502350 , 0 )","result":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 )  ) * 22 * 0.12 * weight_material501680 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , (  ( occupied_area * 2 )  ) * 22 * 0.12 * material501680 , 0 )","result":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 )  ) * 22 * 0.41 * weight_material502098 )","itemDenseWeight":"0.00450419112"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , 0, (  ( occupied_area * 2 )  ) * 22 * 0.41 * material502098 )","result":"4.50419112"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 )  ) * 22 * 0.21 * weight_material502131 )","itemDenseWeight":"0.00218602692"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , 0, (  ( occupied_area * 2 )  ) * 22 * 0.21 * material502131)","result":"2.18602692"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 )  ) * 22 * 0.3 * weight_material502350 )","itemDenseWeight":"0.0029269944"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , 0, (  ( occupied_area * 2 )  ) * 22 * 0.3 * material502350)","result":"2.9269944"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 )  ) * 22 * 0.08 * weight_material501680 )","itemDenseWeight":"0.00023354496"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , 0, (  ( occupied_area * 2 )  ) * 22 * 0.08 * material501680)","result":"0.23354496"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Paint Miscellaneous cost","expression":"( formula241 + formula242 + formula243 + formula244 + formula245 + formula246 + formula247 + formula248 + formula249 + formula250 + formula251 ) * 0.2","result":3.0329882283600003},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: No formula, default result applied {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight":0,"result":0},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Packaging/Box Making","expression":"variable56 * nested_area","result":12.5925},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 5ply","dense_weight_expression":"if( ( width_of_sign > 0 || other_dimension_of_sign > 0 ) && width_of_sign <= 30 && other_dimension_of_sign <= 30, (  ( 2 * nested_area ) + ( 8 * sqrt(nested_area)  )  ) * weight_material500379 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 5ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 7Ply","dense_weight_expression":"if( ( width_of_sign > 30 || other_dimension_of_sign > 30 ) && width_of_sign <= 50 && other_dimension_of_sign <= 50, (  ( 2 * nested_area ) + ( 8 * sqrt(nested_area)  )  ) * weight_material500419 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 7Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight_expression":"if( ( width_of_sign > 50 || other_dimension_of_sign > 50 ) && width_of_sign <= 60 && other_dimension_of_sign <= 60, (  ( 2 * nested_area ) + ( 8 * sqrt(nested_area)  )  ) * weight_material502106 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ) && width_of_sign <= 70 && other_dimension_of_sign <= 70, nested_area * 2 * weight_material502567, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight_expression":"if( ( width_of_sign > 70 || other_dimension_of_sign > 70 ) && width_of_sign <= 90 && other_dimension_of_sign <= 90, nested_area * 2 * weight_material502564 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight_expression":"if( ( width_of_sign > 90 || other_dimension_of_sign > 90 ), nested_area * weight_material500154 * 2, 0 )","itemDenseWeight":"12.7604"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight":"12.7604","result":0},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Wood Lar 9''x132''","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ), ( 4 * sqrt(nested_area) * 2 * weight_material502074 ) / 144, 0 )","itemDenseWeight":"0.22764223609498"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: No formula, default result applied {"data":{"name":"Wood Lar 9''x132''","dense_weight":"0.22764223609498","result":0},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: No formula, default result applied {"data":{"name":"Miscalleneous (10%)","dense_weight":0,"result":0},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: No formula, default result applied {"data":{"name":"Where Wastage magnification factor for Sheets consumption is taken as","dense_weight":0,"result":0},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Flush/Stud Mount","expression":"if(mounting_type == mounting_type_flush_stud_mounted, 1, 0 )","result":"1"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Standard Raceway (6x2)","dense_weight_expression":"if(mounting_type == mounting_type_standard_raceway_6x2, weight_material501803 / 144 * (  ( width_of_line_1 * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + ( width_of_line_2 * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + ( width_of_line_3 * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + ( width_of_line_4 * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Standard Raceway (6x2)","expression":"if(mounting_type == mounting_type_standard_raceway_6x2, variable58 * ( material501803 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  ) + 2.7 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Flat Backer (2mm)","dense_weight_expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, ( weight_material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Flat Backer (2mm)","expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, variable58 * (  ( material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Dense weight computed {"data":{"name":"Backerboard Cabinet (2\")","dense_weight_expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * weight_material501803 / 144 ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula executed successfully {"data":{"name":"Backerboard Cabinet (2\")","expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, variable58 * (  (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * material501803 / 144 ) + (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * 2.7 / 144 )  ), 0 )","result":"0"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Total Cost formula detected {"data":{"item_id":63},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Formula calculations completed {"data":{"total_items":37,"successful_calculations":36,"errors_count":0},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Summed initial totals {"data":{"totalCost_before_formula":122.20914577015999,"totalDenseWeight_before_formula":24.579187177236783},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Total Cost formula executed {"data":{"formula":"totalCost * variable57","computed_totalCost":134.430060347176},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Total Dense Weight formula executed {"data":{"formula":"totalDenseWeight * 1.1","computed_totalDenseWeight":27.03710589496046},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Total Cost result added to calculationsResults {"data":{"variable_id":63,"result":134.430060347176,"dense_weight_expression":27.03710589496046},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Preparing boxes for bin packing {"data":{"sign_type":"Flat Cut Acrylic Letters","objects_count":8,"totalDenseWeight":0},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: Processing flush stud mounted objects for 3D bin packing {"data":{"objects_count":8,"sign_depth":"0.5"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-1","width":23.84,"height":20.09,"depth":"0.5"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-2","width":35.89,"height":19.02,"depth":"0.5"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-3","width":16.34,"height":19.02,"depth":"0.5"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-4","width":17.41,"height":19.02,"depth":"0.5"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-5","width":19.29,"height":20.09,"depth":"0.5"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-6","width":8.57,"height":8.84,"depth":"0.5"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-7","width":8.3,"height":8.84,"depth":"0.5"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:43] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-8","width":8.84,"height":8.84,"depth":"0.5"},"timestamp":"2026-01-29 06:39:43"} 
[2026-01-29 06:39:44] local.INFO: 3D Bin Packing API response received {"data":{"response":{"response":{"id":"1769668784_ef09d3bf3f20e20925198c3a578202b1","bins_packed":[{"bin_data":{"w":36.19,"h":20.39,"d":4,"id":"unique","used_space":67.6963,"weight":0,"gross_weight":0,"used_weight":100,"stack_height":20.39,"order_id":null},"image_complete":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/5a6fb8100ccfdf55cb048037b162ef7e/1769668784-681-3275983.svg","items":[{"id":"item-2","w":36.19,"h":19.32,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/5a6fb8100ccfdf55cb048037b162ef7e/1769668784-6804-8361332.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-4","w":17.71,"h":19.32,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/5a6fb8100ccfdf55cb048037b162ef7e/1769668784-6806-4911316.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-8","w":9.14,"h":9.14,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/5a6fb8100ccfdf55cb048037b162ef7e/1769668784-6806-8187221.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-3","w":16.64,"h":19.32,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/5a6fb8100ccfdf55cb048037b162ef7e/1769668784-6807-4443217.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-6","w":8.87,"h":9.14,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/5a6fb8100ccfdf55cb048037b162ef7e/1769668784-6807-8626183.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-7","w":8.6,"h":9.14,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/5a6fb8100ccfdf55cb048037b162ef7e/1769668784-6808-5781138.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-1","w":24.14,"h":20.39,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/5a6fb8100ccfdf55cb048037b162ef7e/1769668784-6809-5069578.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-5","w":19.59,"h":20.39,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/5a6fb8100ccfdf55cb048037b162ef7e/1769668784-681-8459492.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}}]}],"errors":[],"status":1,"not_packed_items":[]}}},"timestamp":"2026-01-29 06:39:44"} 
[2026-01-29 06:39:44] local.INFO: Box added from packed bin {"data":{"length":4,"width":36.19,"height":20.39,"denseWeight":0},"timestamp":"2026-01-29 06:39:44"} 
[2026-01-29 06:39:45] local.INFO: Shipping rates calculated {"data":{"boxes":[{"size":{"length":6,"width":38.19,"height":22.64},"quantity":1,"denseWeight":1}],"cheapestShippingCost":201.6826875,"rawShippingRates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":28,"rate":"213.16","tariffAndDS":241.16,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":396.08211599999987,"totalShipmentCostFormula":"((tariffAndDS (241.16) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 396.08","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":28,"rate":"129.6","tariffAndDS":157.6,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":270.31595999999996,"totalShipmentCostFormula":"((tariffAndDS (157.6) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 270.32","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":17.5,"rate":"166.92","tariffAndDS":184.42,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":283.45354,"totalShipmentCostFormula":"(( tariffAndDS (184.42) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 283.45354","warnings":[]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":28,"rate":"227.71","tariffAndDS":255.71,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":277.71000000000004,"totalShipmentCostFormula":"(((tariffAndDS (255.71) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 277.71","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":0,"rate":"118.85","tariffAndDS":118.85,"fuelSurcharge":"0.3250","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":201.6826875,"totalShipmentCostFormula":"(((tariffAndDS (118.85) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3250)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 201.6826875","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":0,"rate":625,"tariffAndDS":625,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":625,"totalShipmentCostFormula":"((tariffAndDS (625) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 625"}]}},"timestamp":"2026-01-29 06:39:45"} 
[2026-01-29 06:39:45] local.INFO: Product cost factor determined {"data":{"sign_type":"Flat Cut Acrylic Letters","productCostFactor":1.25},"timestamp":"2026-01-29 06:39:45"} 
[2026-01-29 06:39:45] local.INFO: Final API Response {"data":{"sign_width":"120","sign_height":"32.39","sign_depth":"1","sign_type":"Flat Cut Acrylic Letters","processed_sign_type":"Flat Cut Acrylic Letters","sideViewImage":"https://api.signize.ai/mockups/flush-stud/flush-stud-flat-cutt-acrylic-letters.png","mounting_type":"Flush/Stud 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deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-5","w":19.59,"h":20.39,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/5a6fb8100ccfdf55cb048037b162ef7e/1769668784-681-8459492.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}}]}],"errors":[],"status":1,"not_packed_items":[]}},"shipping_rates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":28,"rate":"213.16","tariffAndDS":241.16,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":396.08211599999987,"totalShipmentCostFormula":"((tariffAndDS (241.16) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 396.08","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":28,"rate":"129.6","tariffAndDS":157.6,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":270.31595999999996,"totalShipmentCostFormula":"((tariffAndDS (157.6) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 270.32","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":17.5,"rate":"166.92","tariffAndDS":184.42,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":283.45354,"totalShipmentCostFormula":"(( tariffAndDS (184.42) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 283.45354","warnings":[]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":28,"rate":"227.71","tariffAndDS":255.71,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":277.71000000000004,"totalShipmentCostFormula":"(((tariffAndDS (255.71) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 277.71","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":0,"rate":"118.85","tariffAndDS":118.85,"fuelSurcharge":"0.3250","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":201.6826875,"totalShipmentCostFormula":"(((tariffAndDS (118.85) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3250)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 201.6826875","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 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Pakistan","description":null,"sequence_no":13},{"material_id":245,"dense_weight_expression":0,"result":"0","sign_material":"Matting Agent (P565-554) 1L Nexa Pakistan","description":null,"sequence_no":14},{"material_id":246,"dense_weight_expression":0,"result":"0","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":15},{"material_id":247,"dense_weight_expression":0,"result":"0","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":16},{"material_id":248,"dense_weight_expression":0.00450419112,"result":"4.50419112","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":17},{"material_id":249,"dense_weight_expression":0.00218602692,"result":"2.18602692","sign_material":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","description":"High Quality Gloss / Satin Paint – PU or solvent-based, gloss (70+ GU) or satin (30–50 GU) sheen.","sequence_no":18},{"material_id":250,"dense_weight_expression":0.0029269944,"result":"2.9269944","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":19},{"material_id":251,"dense_weight_expression":0.00023354496,"result":"0.23354496","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":20},{"variable_id":55,"dense_weight_expression":0,"result":3.0329882283600003,"sign_material":"Paint Miscellaneous cost","description":null,"sequence_no":21},{"material_id":252,"dense_weight_expression":0,"result":0,"sign_material":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","description":null,"sequence_no":22},{"variable_id":56,"dense_weight_expression":0,"result":12.5925,"sign_material":"Packaging/Box Making","description":"Custom Packaging with 3–5 ply corrugated boxes with inner foam/styro and stretch wrap.","sequence_no":23},{"material_id":575,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 5ply","description":null,"sequence_no":24},{"material_id":576,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 7Ply","description":null,"sequence_no":25},{"material_id":577,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 9 Ply","description":null,"sequence_no":26},{"material_id":578,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 5mm 3 Core 4*8","description":null,"sequence_no":27},{"material_id":579,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 7mm 4 Core","description":null,"sequence_no":28},{"material_id":580,"dense_weight_expression":12.7604,"result":0,"sign_material":"Plywood Sheet 8*4 Mersawa 6 core 9MM","description":null,"sequence_no":29},{"material_id":581,"dense_weight_expression":0.22764223609498,"result":0,"sign_material":"Wood Lar 9''x132''","description":null,"sequence_no":30},{"variable_id":57,"dense_weight_expression":0,"result":0,"sign_material":"Miscalleneous (10%)","description":null,"sequence_no":31},{"variable_id":58,"dense_weight_expression":0,"result":0,"sign_material":"Where Wastage magnification factor for Sheets consumption is taken as","description":null,"sequence_no":32},{"variable_id":59,"dense_weight_expression":0,"result":"1","sign_material":"Flush/Stud Mount","description":"Sign to be Flush/Stud Mounted to the wall.","sequence_no":33},{"variable_id":60,"dense_weight_expression":0,"result":"0","sign_material":"Standard Raceway (6x2)","description":null,"sequence_no":34},{"variable_id":61,"dense_weight_expression":0,"result":"0","sign_material":"Flat Backer (2mm)","description":null,"sequence_no":35},{"variable_id":62,"dense_weight_expression":0,"result":"0","sign_material":"Backerboard Cabinet (2\")","description":null,"sequence_no":36},{"variable_id":63,"dense_weight_expression":27.03710589496046,"result":134.430060347176,"sign_material":"Total Cost","description":null,"sequence_no":37}],"productionError":[],"request":{"sign_width_or_height":"120","sign_depth_or_thickness":"0.5","sign_type":"Flat Cut Acrylic Letters","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39","material":null,"application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null},"TATDays":14,"testDenseWeight":27.03710589496046},"timestamp":"2026-01-29 06:39:45"} 
[2026-01-29 06:39:45] local.INFO: API Epic Craftings Calculation Ended ======================================================================================================== {"data":null,"timestamp":"2026-01-29 06:39:45"} 
[2026-01-29 06:39:46] local.INFO: API B2 Sign Calculation Started ======================================================================================================== {"data":null,"timestamp":"2026-01-29 06:39:46"} 
[2026-01-29 06:39:46] local.INFO: Incoming Request {"data":{"sign_type_name":"Flat Cut Acrylic Letters","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","dimensions":[{"id":"d252e9a3-de5b-48e7-a2ea-562556cbb2f3","height":20.09,"width":23.84},{"id":"2fb3d7bd-00f2-4ff3-a0f5-5ce008bdb2a8","height":19.02,"width":35.89},{"id":"505a73a9-3874-42dd-a20d-808d89b126b5","height":19.02,"width":16.34},{"id":"fd53c3e2-c914-48e0-8771-0270ffb70aaf","height":19.02,"width":17.41},{"id":"28df1a3e-695c-4ac0-90e5-d30bec76c2ac","height":20.09,"width":19.29},{"id":"7bd7bb99-3c7a-4f7f-ab34-070d314772f1","height":8.84,"width":8.57},{"id":"b2b21340-1c72-49a9-8265-081bd5d43015","height":8.84,"width":8.3},{"id":"bc7c5884-4fd4-4631-a3c2-7576669fbfbe","height":8.84,"width":8.84}]},"timestamp":"2026-01-29 06:39:46"} 
[2026-01-29 06:39:46] local.INFO: Validating Request Payload {"data":[],"timestamp":"2026-01-29 06:39:46"} 
[2026-01-29 06:39:46] local.INFO: Request Validation Successful {"data":{"validated_data":{"sign_type_name":"Flat Cut Acrylic Letters","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","dimensions":[{"id":"d252e9a3-de5b-48e7-a2ea-562556cbb2f3","height":20.09,"width":23.84},{"id":"2fb3d7bd-00f2-4ff3-a0f5-5ce008bdb2a8","height":19.02,"width":35.89},{"id":"505a73a9-3874-42dd-a20d-808d89b126b5","height":19.02,"width":16.34},{"id":"fd53c3e2-c914-48e0-8771-0270ffb70aaf","height":19.02,"width":17.41},{"id":"28df1a3e-695c-4ac0-90e5-d30bec76c2ac","height":20.09,"width":19.29},{"id":"7bd7bb99-3c7a-4f7f-ab34-070d314772f1","height":8.84,"width":8.57},{"id":"b2b21340-1c72-49a9-8265-081bd5d43015","height":8.84,"width":8.3},{"id":"bc7c5884-4fd4-4631-a3c2-7576669fbfbe","height":8.84,"width":8.84}]}},"timestamp":"2026-01-29 06:39:46"} 
[2026-01-29 06:39:46] local.INFO: Fetching Sign Type {"data":{"sign_type_name":"Flat Cut Acrylic Letters"},"timestamp":"2026-01-29 06:39:46"} 
[2026-01-29 06:39:46] local.INFO: Sign Type Query Result {"data":{"found":true,"sign_type_id":10},"timestamp":"2026-01-29 06:39:46"} 
[2026-01-29 06:39:46] local.INFO: Checking B2 Module for Sign Type {"data":{"sign_type_id":10},"timestamp":"2026-01-29 06:39:46"} 
[2026-01-29 06:39:46] local.INFO: Sign Type B2 Module Result {"data":{"has_b2_module":false},"timestamp":"2026-01-29 06:39:46"} 
[2026-01-29 06:39:46] local.ERROR: Sign Type Without B2 Module Attempt {"data":{"sign_type_id":10},"timestamp":"2026-01-29 06:39:46"} 
[2026-01-29 06:39:46] local.INFO: USA Workshop Calculation API Started {"data":{"request":{"sign_type":"Flat Cut Acrylic Letters","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","shipping_weight":17.5,"shape":"rectangular","dimensions":[{"id":"d252e9a3-de5b-48e7-a2ea-562556cbb2f3","height":20.09,"width":23.84},{"id":"2fb3d7bd-00f2-4ff3-a0f5-5ce008bdb2a8","height":19.02,"width":35.89},{"id":"505a73a9-3874-42dd-a20d-808d89b126b5","height":19.02,"width":16.34},{"id":"fd53c3e2-c914-48e0-8771-0270ffb70aaf","height":19.02,"width":17.41},{"id":"28df1a3e-695c-4ac0-90e5-d30bec76c2ac","height":20.09,"width":19.29},{"id":"7bd7bb99-3c7a-4f7f-ab34-070d314772f1","height":8.84,"width":8.57},{"id":"b2b21340-1c72-49a9-8265-081bd5d43015","height":8.84,"width":8.3},{"id":"bc7c5884-4fd4-4631-a3c2-7576669fbfbe","height":8.84,"width":8.84}]}},"timestamp":"2026-01-29 06:39:46"} 
[2026-01-29 06:39:46] local.INFO: Validation Passed {"data":[],"timestamp":"2026-01-29 06:39:46"} 
[2026-01-29 06:39:46] local.INFO: Input Parameters {"data":{"dimensions_count":8,"shape":"rectangular"},"timestamp":"2026-01-29 06:39:46"} 
[2026-01-29 06:39:46] local.INFO: Resolved Default Data {"data":{"sign_type_map":{"sign_type_halo_lit_letters":"Halo Lit Channel Letters","sign_type_face_lit_letters":"Premium Face-Lit Letters (Metallic Trim)","sign_type_face_and_halo_lit_letters":"Face & Halo Lit Channel Letters","sign_type_single_sided_lightbox":"Fabricated Lightbox - Single Sided","sign_type_double_sided_lightbox":"Fabricated Blade Sign -  Illuminated/Double Sided","sign_type_flat_cut_acrylic_letters":"Flat Cut Acrylic Letters","sign_type_flat_cut_aluminum_letters":"Flat Cut Aluminum Letters","sign_type_single_sided_push_through":"Fabricated Push Through - Single Sided","sign_type_fabricated_letters_non_lit":"Fabricated Channel Letters - Non Illuminated","sign_type_2d_blade_sign":"Flat Blade Sign","sign_type_3d_blade_sign":"Fabricated Blade Sign - Non Illuminated / Double Sided","sign_type_neon_sign":"Neon Sign","sign_type_marquee_channel_letters":"Marquee Channel Letters","sign_type_open_face_neon_channel_letters":"Open Face Neon Channel Letters","sign_type_mirror_infinity_channel_letters":"Mirror Infinity Channel Letters","sign_type_metal_on_acrylic":"Flat Cut Acrylic with Metal Pasting","sign_type_neon_acrylic_sign":"Neon Acrylic Sign","sign_type_double_sided_push_through_cabinet":"Double Sided Push Through Cabinet","sign_type_standard_face_lit_plastic_trim_letters":"Standard Face Lit Letters (Plastic Trim)","mounting_type_flush_stud_mounted":"Flush/Stud mounted","mounting_type_standard_raceway_6x2":"Standard Raceway","mounting_type_flat_backer_2_5_mm":"Flat Backer","mounting_type_backerboard_cabinet_2_inch":"Backerboard Cabinet","avg_char_height_less_than_24_inches":"Less than 24 inches","avg_char_height_greater_than_24_inches":"Greater than 24 inches","raceway_height_6":"6","raceway_height_8":"8","raceway_height_10":"10","raceway_height_12":"12","raceway_depth_2":"2","raceway_depth_3":"3","raceway_depth_4":"4","raceway_depth_5":"5","raceway_depth_6":"6","raceway_depth_7":"7","raceway_depth_8":"8","backboard_cabinet_depth_2":"2","backboard_cabinet_depth_3":"3","backboard_cabinet_depth_4":"4","backboard_cabinet_depth_5":"5","backboard_cabinet_depth_6":"6","backboard_cabinet_depth_7":"7","backboard_cabinet_depth_8":"8","material_aluminium":"Aluminium","material_stainless_steel":"Stainless Steel","application_exterior":"Exterior","application_interior":"Interior","ul_mandatory_yes":"Yes","ul_mandatory_no":"No","paint_finish_gloss_satin":"Gloss/Satin","paint_finish_matte":"Matte","neon_color_simple":"Simple","neon_color_rgb":"RGB","uv_printing_needed_yes":"Yes","uv_printing_needed_no":"No","trim_type_trimless":"Trimless","trim_type_with_trim":"With Trim","fabricated_finish_original_colors_matt":"Original Colors Matt","fabricated_finish_original_colors_gloss":"Original Colors Gloss","fabricated_finish_silver_mirror":"Silver Mirror","fabricated_finish_silver_brushed":"Silver Brushed","fabricated_finish_golden_mirror":"Golden Mirror","fabricated_finish_golden_brushed":"Golden Brushed","fabricated_finish_bronze_mirror":"Bronze Mirror","fabricated_finish_bronze_brushed":"Bronze Brushed","fabricated_finish_bronze_antique":"Bronze Antique","lightbox_type_light_box":"Lightbox","lightbox_type_cut_to_shape":"Cut to shape Lightbox","return_color_black":"Black","return_color_white":"White","return_color_blue":"Blue","return_color_brown":"Brown","return_color_yellow":"Yellow","return_color_teal":"Teal","return_color_orange":"Orange","return_color_golden_brushed":"Gold Brushed","return_color_match_logo":"Match Logo (Default)","shape_rectangular":"Rectangular","shape_cut_to_shape":"Cut to shape","shape_round":"Round"}},"timestamp":"2026-01-29 06:39:46"} 
[2026-01-29 06:39:46] local.INFO: Sign Type Lookup {"data":{"sign_type":"Flat Cut Acrylic Letters","found":true,"sign_type_id":10},"timestamp":"2026-01-29 06:39:46"} 
[2026-01-29 06:39:46] local.INFO: USA Workshop Module Check {"data":{"sign_type_id":10,"has_module":true},"timestamp":"2026-01-29 06:39:46"} 
[2026-01-29 06:39:46] local.INFO: Initial Price Lookup {"data":{"shape":"rectangular","price_found":true},"timestamp":"2026-01-29 06:39:46"} 
[2026-01-29 06:39:46] local.INFO: Flat Cut Acrylic Letters Detected {"data":[],"timestamp":"2026-01-29 06:39:46"} 
[2026-01-29 06:39:46] local.INFO: Resolved Depth Range {"data":{"input_depth":1,"matched_depth":1},"timestamp":"2026-01-29 06:39:46"} 
[2026-01-29 06:39:47] local.INFO: USA Workshop Price Found {"data":{"base":"object","price_per_inch":5.0},"timestamp":"2026-01-29 06:39:47"} 
[2026-01-29 06:39:47] local.INFO: Calculating Production Cost (Object Base) {"data":[],"timestamp":"2026-01-29 06:39:47"} 
[2026-01-29 06:39:47] local.INFO: USA Workshop Calculation Completed {"data":{"production_cost":618.8000000000001,"dimensions_count":8},"timestamp":"2026-01-29 06:39:47"} 
[2026-01-29 06:40:11] local.INFO: Image-to-Text API Request Received {"data":{"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_image":{"Illuminate\\Http\\UploadedFile":"C:\\xampp\\tmp\\phpDA93.tmp"}},"file_present":true},"timestamp":"2026-01-29 06:40:11"} 
[2026-01-29 06:40:11] local.INFO: Validation Passed {"data":{"sign_width_or_height":"120","user_input_dimension":"width"},"timestamp":"2026-01-29 06:40:11"} 
[2026-01-29 06:40:11] local.INFO: Prepared Query Parameter for Image-to-Text API {"data":{"query_param":"banner_width_ft","query_value":9.999996},"timestamp":"2026-01-29 06:40:11"} 
[2026-01-29 06:40:11] local.INFO: Calling Image-to-Text API {"data":{"file_name":"Screenshot 2025-10-28 100019.png","query_param":"banner_width_ft","query_value":9.999996,"file_size":37443},"timestamp":"2026-01-29 06:40:11"} 
[2026-01-29 06:40:11] local.INFO: Trying Image-to-Text server {"data":{"url":"https://edgebased.codeblue.agency/docs/process-image?banner_width_ft=9.999996","file":"Screenshot 2025-10-28 100019.png"},"timestamp":"2026-01-29 06:40:11"} 
[2026-01-29 06:40:12] local.ERROR: Server FAILED {"data":{"url":"https://edgebased.codeblue.agency/docs/process-image?banner_width_ft=9.999996","error":"Server responded but data invalid"},"timestamp":"2026-01-29 06:40:12"} 
[2026-01-29 06:40:12] local.INFO: Trying Image-to-Text server {"data":{"url":"http://imagetotext.marke-ter.online:8002/process-image?banner_width_ft=9.999996","file":"Screenshot 2025-10-28 100019.png"},"timestamp":"2026-01-29 06:40:12"} 
[2026-01-29 06:40:13] local.INFO: Server succeeded {"data":{"url":"http://imagetotext.marke-ter.online:8002/process-image?banner_width_ft=9.999996"},"timestamp":"2026-01-29 06:40:13"} 
[2026-01-29 06:40:13] local.INFO: Image-to-Text API Response 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\",\"scaled_width\":23.84,\"scaled_height\":20.09,\"exact_perimeter\":111.77,\"approximate_perimeter\":102.87,\"convex_hull_perimeter\":77.21,\"perimeter_pixels\":417.28,\"approximation_points\":12,\"original_contour_points\":119,\"shape_analysis\":{\"perimeter_to_area_ratio\":0.3665,\"compactness\":0.3068,\"aspect_ratio\":1.19}},{\"index\":1,\"position\":{\"x\":220,\"y\":42,\"width\":134,\"height\":71},\"actual_filled_area\":314.58,\"bounding_box_area\":682,\"image_base64\":\"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\"}}"},"timestamp":"2026-01-29 06:40:13"} 
[2026-01-29 06:40:13] local.INFO: Detected Objects from Image-to-Text API 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","scaled_width":23.84,"scaled_height":20.09,"exact_perimeter":111.77,"approximate_perimeter":102.87,"convex_hull_perimeter":77.21,"perimeter_pixels":417.28,"approximation_points":12,"original_contour_points":119,"shape_analysis":{"perimeter_to_area_ratio":0.3665,"compactness":0.3068,"aspect_ratio":1.19}},{"index":1,"position":{"x":220,"y":42,"width":134,"height":71},"actual_filled_area":314.58,"bounding_box_area":682,"image_base64":"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06:40:13"} 
[2026-01-29 06:40:13] local.INFO: Nested area calculated {"data":{"nestedArea":2418.3108999999995},"timestamp":"2026-01-29 06:40:13"} 
[2026-01-29 06:40:13] local.INFO: Mapped objects from Image-to-Text API 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jvjZnsbFBIMxncxaLBcNsoLfOP3MPbnDjI7n+0deByZFBEFUE8AhUtmKLDnUDUSUWgfZrwZbCtOsb6BECWeEyR45S4h8CbhDEfkiHJvwSx7/hyA0F+6dAtwnTCIs1Z1o0Dlx6Kd/6xtfZ2FjgHuScaa2hSSEgEHozPAwzo5ZKAO6ORUAE7k5KinUnpUzKiVNPO5M7nvloVoSDTC7cuzt2fvS3IQLNCRXBzFFNuDsRTvADSRPLcaLWyjQ1IhwRRUQRFfDACfDA3ImAYRhYLBYggrvTemdtPmdjsUGtFRFhmhrT1Ni6ZQu9d8ZxJNdK74Ym5QeE3jtDHWitYWaYBSJC7x0QzI2cMkFgZmhS3APVhJkhIpgZApg7wzAAwmxW+MWnvoJth16HFeFHcDM0JX5ccuHeXfGFj7wSx5GUsN5xd0op9N5xcw459FD2799Pb42UCiln3DrugYgAgrkTHogqi8WCYaj0bgy1gsBiMaKquDt1GGjTSC6F/ZfvZ5jNmFpjU86ZaZoQTYzLJbP5nGlqzGZzlssFgpBzpfdGRJBLpk0NSUprHdVETpnuRhKl9Ya7k1KCgO4dQhAg58w0NU6/33/k1LueyRWEf4eZ8c43/Bq3vv1J3ObE+wQ/IPw75KJ9u+OCP/89FosFpRRSKoQby3HJ2toal116gNlsYJomUkqICNM0Ye7klMi50LshCIZjboQ71p1SC9acnDOi0KaOuxMERBDAMMxoZozjRETgEcyGGVPrLBcLcs6IKCICBOaOpoyZEe4gQgC1VMZxgZujOTHUGW1qmBu9G7UUzA0zRxDcnFILx97mOO77iBegqqwIP8IX/ur98b63vIGI4JS73IMz7/8kUsqsCP8GuXDvrvjch15GHQbcjE1uwdQ6qgoRTK1ThkpvnVorEUGEs7GxYD6fsxyXCEKtA+M4QgTDMNCa0dpEBOSh0FvHzMi58APCOI2oKgS0ZogItVZQobWGBLgbIoqHEAQqwmK5pNaKmaFJEQSPgAhKKSwOjOSSIMAj0KT0ZtSSab2z6drXP4JHnPvrbN16GFcQ/h2XX3ZJvPG3n8b3/mk/EUF4cMe7nMLd7/t0Sh1YEf4VcuHeXfHp97+E2WzGuFxShwEPWCwX5FxorbGpTZ1aC906OWfcnVoq+/fvp9YBEcHMMHNIQimVxWLJDwg5J1SV/fv3s7ZlK0TQpoaZg4J1I8JJKSMokgTrBqKklBjHkfAAhTAHEXLOCDC1jpsDggiklNBcmNoEEaSUiAgQVgQ353pH3JiHPu5ZHHro9biC8CP8yTtfG5/71AfZFBGUXOjWuONd7sQZ9386ORdWhH9BLlzfFX/x3hcTCDlnUkpsLDYoubCpW6eUgnUDAbdARUCU3hsRQUoJM8cDgiDljJkholg3zAIRcA8ggABRujkiwmwYmNoEAbkU2tRovSEiBKCAuxOAu5NTQUQwd0opTONIypmsiY3lEhXBWRG+T0TY5Oagwm1ufyfOfMCTWFvbyhWEH+HLX/xCvPmVzwZVFEFTovdOKQVz56Q7352fP+vJrAj/gly4d3ec/97fBBFSTrg7vXVAiXAQIdxJKSEiGIGI0FqDAE2JTa11IoJcCn3qdDNKzpg5KSmtddwDVcE80KSMy4lhNmDdyDlh5jTrJBVa6wzDgFswTROIoKqoKiCEwDSOgJByIqdMuINA7wYKKoqZ4e6klDj82tfmrmc+gtuceDo/RPgRWpviD1/9y1z8pYtRVdydnDOtN2azOW5GBDzo0U9gx/H3ZkX4IbJvfVd86v0vIWmi9Y6bsUlE6b1Th8rGxpI6FHo3Sq2YORFB0sRynAgPai1064zjiIiSU8GsI6rklDF33I2UMhaOmzONI8Mww8Mwc1QV1YSKsBxHSqm4OeGOhSOqiAqCYm6ICG1qaFI2RQQRQa2VqU2ICIRwo6OO5rTT78FNtt+DOsy4gvBj+tyn3hEfes87EDYJvTdEhKQJVaF1A4KhDjzhGS/h2tc9mhXhCrJvfVd8/J2/TgApJcKDOgyM44S7ExEgQiD8QBARgFDrwHI50qYJBEqpTK2hqghCypnFYkEpFU1CuKMp0aaGqOJmgBDuBCCiuDk5Z5bLJSVnLAJNifBg6hMqirmRcyalhKoSEbg7EUFvnWsdfji32H47jr7JMdzg6OM5/LpHIyL8EOHH9N3vfCN+/6W/xDiNuDtJE+ZGyolxOVJqRQjCgwi41fHH8+DHvABZ4Qqyb31XfOydL0QA1URrHUmKR2DuhDsRgaCoZtAg3AkPujkiQrdORFBKxbpRSqH1ziZ3p3cn54S7k1QxDwRBBBBFCNyDTSIKBGYGIvQwkibcHFGhtcZsNqO1RkSQc6a1Rq0VEMyM613vhjzxV16NiPBDhJ/Cf3/zC2LnX3+eHwiSZqY2MQwD0zShSUmaICCAcOMXz3sGN7nlXVgRVmTf+q744FtewNp8TkSwXE4QRi6F3jsiyoH9G2zbdgitTTiwbdshHLLtMMwMj0BFEYTeO7VWzIxunU2qyvcFOMFQKxuLiZwSrXdySjR3SkrgToiAO53gku98k3GayDljZmxydyICVUU1ER603qil4BGICiqJc5/5Ug6/zjGsCD+lfXs+E29//YsY6sCBAweYzeZY75gbCNRSaa0hgEeQUsLM2L7j5jz08S9DVliRveu74mPvfDEICEprDTcnl4y7IwLmYO4IgoVxvwedyS1v/ziubBd84dP88VteRkQQEZgZKRUinKSJ5bik1kJrnZwzrTVUBdXEve7/WE65631YEX4K47iIP3zlU/jGN76DqiIihDvdDA9nNgyIJBaLDSKclAsCeARJE4972gs44sa3YUVk7/qu+PBbXkhEkFJiXC7IQ6X3jogiIuScGccJdweB+z/kHhx7+yfxQ4SDLzYOXM4r/+s5TFNDRAggqTKOE8NQmaYJVcHcKKVgPYAgp8T222znrEe/kBXhp3D+R98cH/vge+m9U2ultcYwDIzjSEqJTRGBiACCqhAR9NYwd37mjHtxxv2fworI3vVd8advexHmjgDTNJFLIdxBBDfDI0iaaL0jAvd78N3ZfvJ5rAhXrnjDbz2Nr331YkSETRGBiADBJndHRNmUUsLdEVVKzjz1ua9nvraNFeEn9IG3vCg+8+nzyTmzycMpuTCOIzllunVSSiD8QATuQUqJiOCwww7jqc99I5qSyN71XfHht/4GIoK5EwFuhoUjQM6Z8MA9aK0RwP0fdg92nHweK8KV7BMfek188s8+jIrSW8dxVBIQ5JTwAFXBzBARIACh987Z5/wqtzrhzqwIPyEzi4+867f47GfOx8wQEUSElJTWOr13cs6oKuFOShlzY5OIIKo84Zd/gxseuR3Zu74r3vfG5+HhEIGIEgEpJQgwczyCnBKqytQaD3z4Pdh+4rmsCFeyfXs/HW9/7W+yKafE1BpEYOHkXFBRxnFJTolcKm4dEcEjuP3Jd+a+j/i/WBF+cmHWefcfPo89f7sLEUUEIgLrRh0KvRsRgaqyKaWMm+FhqCYe8LBzuO0d7oPs3bMz3vMHz+MHBBFAFAg8gk29d2qthDvdnQeefQY7TjqXFeFKtv/yy+KVv/ZYltPEbBiIcCJgHEeSJjQpZsYwVKapkXKi9w4BhxxyCE957h9QyiD8dOKS73yD17/0aYzjCCKIgHVDVMi54O703hEEj6CUTO9GTonTTr8Xp9/nCcjePbvivW98AeGOiGBmaMlscnfcHXODAEEwN85+1M+x/aRzWRGufPGmVz6Fr3zpYlSVIMiaQAW3AIJ/1nsDhJQUEFQTv3ju07nxzU5lRfjpxCf+5FX8xcc/DgG5ZMZxJOeEe+DmpJwQwCMQEXrv1Fo59rhb8+DHvQBZ37Mz3vvGF4BDN0MVPAJUEBEEYdM4jpRSCOCss89gx0nnsiJcBc7/szfGx/7H+xEBEcHMcHc0JQjHPai1YmYQkHKitYaocsqpd+HnHvKfWRF+Sl/ee3780Wtfhqrg7qgqvXdKKfTeERFEFQW6dUAQUW5685vwyPNejqzv2Rlve82zgWA2mzFNE5uGOrBYLsg507uRkgKKe+ehj7w32098EivCVeDL+74Q/+21z6f3TikVEWhtQjQhQETg4WTNaFLa1PBwIoKt27bxtOe+ntl8q/BTuvgre+PNr3omBPTeGWYD0zgioogIqoq7k1IiPNCkhDvXvu7hnPurf4Cs79kZ73r9c4kINokq1jspJUDo1lFRkiY8HHfjIY+4F7c6+VxWhKvANC3jt5//WDYWG+RccDciAndHk2LdEQnMHBElJcXDEQR35yGP+U/c+nb3ZEX4KfzdVy6IN7/qOZgZZsYwVFrrDHXA3DAzRIXeOrVUPBx358gb3ZAn/MrrkPU9O+Mdr3sO7qCqiEAQbBKE3htb1rayWC5BIKnwoLPPYPtJ57IiXEXe9+bnx19//vOICLVWxuUIAiVnzJ2UEtM0oarknBERNCnTOHGzm9+SRz75JawIP4UL93wi3vr7r8DNKaWgIrTeEVFSUtyd1hoiggjUOjBNIze7+TE86j+9Ctm7Z1e86w+eR0QQEdQ60HvDzMg501ojpYR1AxE0KWc97O7sOPk8VoSryN6//pN411vegJmhqpg7EYEKK0IphdYaZkbOhZwTvXcgcA8e97RXcNRNbsqK8BP65Ad+Pz7x8Q/i7uSSadOEasK6McwG3IwA3J2IYDab09rIjtvejgc95vnI+p6d8dbXPJucMhGOqgBCmxqalCDorVNyARFyTjzwYXfnViedy4pwFbn0n74Rv/VrT0Ii8IDeG7VWeu/knIkICFBVVIXWO0kTHo6ocNIpp/LzD/sVVoSfwDQu4lUvfAKXXXopKSU2RQRmhqoiIqgqBIgKZoaI0HvnZ848k5/9+Scj63t2xlt+91cptWBmlFwIgmmcKKVgZogKbZwYZjPGceThj/55dpx8HivCVSf+6NW/whcvXMfdUU3krCDCuBxJKbHJzciloKq4O6qCe5BS4vG//Jtc/4ibsyL8mD79P98VH3z3m9k0DJWpTQiCiJBSwt3JOdNbQ1NCRLBuBMEDH34Ox9/hfsj6np3x3179TCKCXDIiQps6pRQQcOvklHFAABHhrIefwY6TzmVFuAp94a/eH+9842uYz2eYBd06tRbCHRFFVZnahHugIogIEUFKiYjg2B3beeg5v4GIsCL8CF++cE+8/fXPxczZtFgsyLkgCkkTrTdKLoQ7rXdSSpgZs/mc3jtPfPqLuOGNtiPre3bG21/7HEQEVcXcEATzjkpGVbBu5JKIAFXlrLPvwfYTn8SKcBXaOPC9+J0XPolxHIGgtY67k3Ki5IKZoZoIHAIQoU2NiKCWjANn3vehnHr62VxB+Ddc/OXPx7vf8HI2NjYIDxBwd0QEs04pld4687UZrXWCgIDeO6UU1ras8UvPfzMpZWR9z85422ueTUoJM8M9qDVj7oRDSkLvRkqJbsZQBx7w0J9lx8nnsiJcxf70vS+P/+eTfw6iqAhmHU0JMwcCAoZhYJomVJXwwHFqrfTWEVHuff97s+Oks1lb28qK8EMuv+y78emPfpDPnP9exmkk50xEoCmhImxyc4JAREgpYd0IAg+n5ELvjdPuenfOOOtprIis79kZb/29ZxER5JQJglIKrTU2uTsiwiYRAYIHP+JMdpx8HivCVezrX70oXvuyp5OSIiKklOjWUVEigtYapRQE6L0jqhCAQOudLfMtLJYbbDvkMI692Q6uc8Nj2HL4YWxccilf+9o+LrroC/Ru9N5JKQHCJhFwN1LKWO+UWlksFpRc0KxYNzQpBEzTyOOf8l855tiTWBFZ37Mz3vqaZ6GqCIKbgwSqid47CBCQUmKTJuXBD78n2098EivCVS8+8Jb/wuc+8wVEIefCNE7UWtjkbqSUGccRM6fWgpvT3Sg5kXMhIiACM8Mj8HByypRSEIFpbJgbORfCHQQiAk1KEqX1TskZc2eTiLJJgKlNXP+GR3DuM3+PlDIrIut7dsZbf/dZzOYzIBinCevGMAy4OaLCYrHBfL6GuxMRPOxR92b7iU9iRbgafO1Le+KNr342EYG74+7knDEzSslEgFkHBBHB3RERRJWkShAQMI4jOWfcnYggAmotRAQRgaiiIkN2HawAAAVoSURBVMxmAxsHNqjDwDRNuDualFoGxnGJihABqoJHcJ+zzuPEu9yTFWFF1vfsjHf+/nOJcHLOmDlBsElFUVWSKlNrRAQRwcMedW+Ou/1/ZEW4esSfvucVnP+Jj1JrpbVGrZWpTRBBzoXeO5oSpRTaNLEpwgEhIiilEuGYOZqUcCenhLsjqogI3QzcSTkjAuFB7x1EGIaBCGeaGhFBKYWI4JBDr8WTnvlqhmHOirAi63t2xjtf/1zCHE2JcTmSa4EI/pmqEgHmnaSJBz38DHacfB4rwtXke9/9x/iDlz+V/QeWmHdUFNVEuJNLZpom3IOcExFOa53ZMMPcCHcCEBFSSrgZmhJEsMkJwgMRwcwopdBaZ742Y7lYknLCzEmqRAQI3ycI93/EEzn+pHtzBWFF1vfsjLe/9jmoKiLCpjZOoIKI4GYggori7iDw0Efei1uf8mRWhKtPXPD5/8G73/L7uBnuzqZcMirKNE5sqrMB6x13R1Mi3BBR3J2UFPdAVYkIuhnCiggC9N6pdSDCiQhUFXNHAHNHRVAVRJQIZ8ettvOgx78YVWVFuIKs79kZb3vNsyFAkpA1s1gsyCVjvSOaEIGcMuaGu/PQ/3Avbn2HJ7MiXI1i5UPveTGf/eSnGaeJWivdjKSKiODupJQIdzQleu+UUkCEaRqptbLJzTAPBFBV3B1BQPi+cEdTQkRQVcZpgnBEE4oQBIcdeiiPftqLOPzaR3EF4QqyvmdnvON1zwEE94AILJyhVqapkZISARHObDaj985ZZ5/BjpPPZUW4mi02DsSbXvWf+cdvfhNBcJxwR0QxM1JKmBmlFCICCKbWGOoMs46qoJro3TAzSk4EoEkJD3o3ckm4OSJCRODu1Fqw7ng4KSkPf8IzuMX207iC8ENkfc/OeOvvPouUE5vCgzpUeu9EQBBYa5RaMTfCg4c+8l7sOPk8VoSrX3z3km/x39/wHP7+779FzonWO+FBzpmIIKWEdcPD+T4RclLMnJQSm3LOTOOEu6NJiYBaC+5GBKgq0zQhCCklRCACzJ17n/UI7njXh3AF4V+Q9Qt2xjte919IOWFmuBs5ZVrvpJwgBHcjIggCM+MRv/gL7DjlPFaEa4a45Ntf5W2vez7f+fZ3gWBTRCCq5JSICNwcd0eSEu54OCUXeu/UUtGkjONI7x1VRVVRVXrvaFJqqSyXS+pQmcaRYZhzt597OHf52QdyBeFfIesX7Iy3ve7ZCAICEkLgmDkiwqZaK5t676gqD3jo3bnNHZ7MinDNEd+95Ju8/62/wVe+eDEpJcyMlJRuhiDUWmlTY5gPbGxsgIMmIeeCmSEipJQIgk3WjQjHPcg5s8k9EAlyLvz8Q57I7U65J1cQ/g1yySXfiot2/yVuDdGCiBDeiOhomhERgPD/igU3veXNuN4Rp7AiXLPEcrnBh9/zWnZ//nwQMDPcDETYVGultw4CKsImcyflBA7NGjllckp0MyLArANC741hNnDTW9yC03/hPI486hiuIPw7JCJYCX5ywjVTsPLFfX/N+R96E1/60pcptZJTYjkuEYRNJRcQMOuYOaUUrHdQQULQrCRVWuuUUhjHkVtu38HtT7s/x+04BRHhCsKPIBHB/6bCrPPVi87nM5/8KF/+4j6mNuHmbJrP54zjiIigSSEEEaH1CRUlIhBNHH744dzmxLty3G3uzA2OvBk/RPgxSUTwv7HgCt/9zj/w1S99gW9+dRdf+dKXuPTSy1hsbCCimHWGYWC+tsbali0cedSNud4R2znqZju4/g1vSsqZHyL8hCQi+D9E8EPG5YI2bjAuRkSEYeuMkteow8C/Qvj/QSKC/4MF/1/CQfa/AHEPT5lTSc9XAAAAAElFTkSuQmCC"},{"id":"e14c3bb1-3a0f-4131-af98-780f41595cad","height":19.02,"width":35.89,"perimeter":134.83,"area":314.58,"image":"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"},{"id":"62f8e97b-f7ee-4599-9c1b-a977ecfb8b6c","height":19.02,"width":17.41,"perimeter":116.35,"area":210.61,"image":"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"},{"id":"a049045e-9019-4891-8692-1e40cf056a19","height":20.09,"width":19.29,"perimeter":102.66,"area":183.57,"image":"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"},{"id":"b8ab5522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06:40:13"} 
[2026-01-29 06:40:13] local.INFO: Number of letters detected {"data":{"noOfLetters":8},"timestamp":"2026-01-29 06:40:13"} 
[2026-01-29 06:40:13] local.INFO: Perimeter calculated {"data":{"exactPerimeterSum":665.1099999999999,"perimeter_in_feet":55.43},"timestamp":"2026-01-29 06:40:13"} 
[2026-01-29 06:40:13] local.INFO: Actual filled area sum calculated {"data":{"actualFilledAreas":[305.0,314.58,116.3,210.61,183.57,54.03,41.72,31.5],"actualFilledAreaSum":1257.31},"timestamp":"2026-01-29 06:40:13"} 
[2026-01-29 06:40:13] local.INFO: Occupied area calculated {"data":{"conversionFactor":0.00694444,"occupiedArea":8.73},"timestamp":"2026-01-29 06:40:13"} 
[2026-01-29 06:40:13] local.INFO: Average character height calculated {"data":{"avgCharHeight":15.47},"timestamp":"2026-01-29 06:40:13"} 
[2026-01-29 06:40:13] local.INFO: Original image dimensions and ratio {"data":{"originalWidth":452,"originalHeight":122,"ratio":3.7049180327868854},"timestamp":"2026-01-29 06:40:13"} 
[2026-01-29 06:40:13] local.INFO: Calculated sign dimensions {"data":{"widthOfSign":"120","otherDimensionOfSign":32.39},"timestamp":"2026-01-29 06:40:13"} 
[2026-01-29 06:40:13] local.INFO: Image to Text processing completed 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","scaled_width":23.84,"scaled_height":20.09,"exact_perimeter":111.77,"approximate_perimeter":102.87,"convex_hull_perimeter":77.21,"perimeter_pixels":417.28,"approximation_points":12,"original_contour_points":119,"shape_analysis":{"perimeter_to_area_ratio":0.3665,"compactness":0.3068,"aspect_ratio":1.19}},{"index":1,"position":{"x":220,"y":42,"width":134,"height":71},"actual_filled_area":314.58,"bounding_box_area":682,"image_base64":"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4DEsmoTCRYlg3rGCxLB8Hu0o6T7YYrqpAZWYm7kxFEBNvtlv264taYc2KAt4YMxhhIoihMjkrIhHujKtjvV3prtN758z//Cinjphe+hpe+4jUciAPdf/bReuz33oO74c2RhJshCVGYwL0BRWuOBEtfGGMCibmgCijcHZkxx+DkZAMlTKIyseZAkZFkJNvTE3aXL9H7QnMHCklkJpLIKioTMxFVuIzNsuHS7hKtdcaYVCbbkxN2ly7Re6eKKyICSVQlyJBEZlAF3jtPef7tvPQV38+BONB9Zy/U5z75y1BF742lNeacHEmit4ZMuBuVCYiqxJujKrKKZdsgoTUnYpKR9N7ITNyN3heqCgm2m4XdpT1mxozJUWSwWRbcnapizknzRkaCwFoj5gSKOYPWGnMGZLHZbpgZHI11xcyICFprlIwZk4jAzJFEVvH0b/5evuf2H+RAHOj+ex6t//yf3k8zwwRVhbtjJlprVCVCtGbMOaDA3HF3xthjbix9QRIzJpveoZICeu/MMVmWTgHNncu7S/S2MMbk605PiQwkMDPWMWjmjDlp3qiCdd2z2WwYY9B6IyMwd0xiv98jczZ9YV1XQkGVMBOZxYxgWbZcvHgRM6M1p4CbX/h9vOyVP8CBOND9Zy/U5z/1foSAonlDEmZG605F0lvHXaxjRRIv/u7v4bqnfiO1TqiCAi0dcqJNp/YDzMESeaPmhCjUF3K3R71BTmy7pXJAGVSivqUuXaKaUF+oy3vojhIw4woJ5kSbLUUgRO4GxEQbp6KAoqpQa7AGmYkQEtCN7VNewNNvfg4H4kD3n71QX/j0L7P0Dd6cdeyRGVRxenrK2A+aCwTuTlXxvf/wx3jymVv5a078Bd1/9kJ96bEPcLQ92bLfr2QGJuHuVCWnJ1vGfmVzuiEzuf21r+PJZ27lQFwD9MA9j9b/eOwDjDmRidOTLTGD3htVxbqunJxsqQwig94Wbn/d63jymVs5ENcAPXjusfrSo78KMmJOzMTSG+bOnBMzI2Ny3XWn7NaV3hq3vfa1PPnMKzgQ1wA9eO6z9aef/QCYqEiikpPNlnXds9l0vDnrfsXdMG9UFX/3da/jSTfcyoG4Bug37320/ucf/Rrb7ZbMZHf5Mn1ZaGaYc1Asy8Llyzt662Qlt732dVx/w8s5ENcA/Ydzn60/feKDmENrjdacmEFrzrquLL3Te2eMFTNns1l4yau/n+tveDkH4hqgB889Vl/54m+QGUjGZllY1xUzERmQhbmTc+LuIOMVP/JannTmVg7ENUAP3f94/clnf4UnXX89Fy9+lSrYbDZstxt2u8u4O2Nd2Ww2zDnpy8J3/8AP8aQzt3IgrgF66P7H68uf/zX60ogZZCbuhuQI4c2JmGQmX3d6Het+z3f/0I9w/Q0v50BcA/TQfY/XV7/4YeSOyygKBG7OOlY2y4bMIsZKIcyNl/3gD3P9DS/nQFwD9FsPPF7/+wsfJiJorbHZbFjHgCrmnLgZBVQWvTmVxct++Ed50plbORDXAD1032fr8pf+LfvdDpNovePeyAwyCygkMecks5CKl73qh+hP+07+X8VfCXJzvu766/nL0G898ET92ec/yLIsjHWlAHfHJJCAQhKFGHNwsjkhIzi57jouXbxIUbgaM4MqGDmhYLfb0VpDiNYaEUVksl9XluZkcSCOxpwUoAQzp1S4OWMMxrrirVMSVUnMJKKAIiIwa0QGWYW3xjOf9Ux+9Kd/lQNxlfTRBx6vr3zhwxhgZkQkiANRFAjcnYxgzmCz2TAjGPs9fdmQkcwIWmtAscZkroFkZCabpbPfrxRHooDMIJMrZCLmJLNorTPnJCJJxBWVICMiAZGZRAYRiUxIRmaRGTRvPPM5z+YfvOlDHIirpIfu+2x95Y8/TEXSeweK3jqXdzu8N+acHFUVJiMz8daYc3JUiLGumDd6b4wZzDkwOXNMlu2Wr371IibhzckMIorWOzEmyYFEZRIRuDfGGMicGYEkMmGMgUnInBmTqgKKKmits64rQjzvG57P6+74AAfiKumh+x+vL3/+g2Qmm82GqqKyMBORyZyBu2MmIgszZ45B6411v2LuzBlIzpEEEcGMpHljzMmYg6UvjLnirXP54mVOT064tLuMeSOLKzIT98a6H2QWEZOsws3IKrISYSCYM8gqttstMSZVxTomz3/BN/Jjb/kgB+Iq6bceeKL+7HP/mhnBsiwcVSVzJpJRVSCRmRxlJstmYYzJHJNl2TDWFZkTmYDY7Xb03vDWWPeDzKT3Tmaw36+YO5lJVjEjMQkkMrkiI2mtMWMyozAzJCMrmGPg3ogMSEBGZUGBJJ713Ofw42/7EAfiKumjDzxRX/78h4AECZMYY+DuZIL3xrqubDZb5hxUQcwkKzEZ67oiM5p3IoJZQczAJDKgbzrrfiUjgaT1LbsxiAhMxhiTohDGUQkiClSYjIhJZdF6J2YyxqD1xpyTSmjuVBWRSZl47tc/j3/0lg9xIK6SHrr/8frzP/4NLl38Kienp+x3e0BkJXIjI2i9I4mxBpnFnBO1hiFk4vLly/TWmXPg7sxI3Jzd5R1ts7COFTNHMvb7FTMxR2LNcTPmnFRCcSCxritmhiSQMMQYEzMnMwFhJiKCpJAZlUVRPPvZz+H1P/cRDsRV0oPnHqsvf/5DVAEGYwyEMHPWdXDUl46AdQQI1nWQUciEmXBzdrsdrXdiBpgRkUQk3pzMRDKqYKyDIolIWusgkVkgGPsVEAjcnXUdUEISrXf26x53BwkK5hxEJpKoKsyM5z7nebz+7R/hQFwlffSBx+vPPv/rrGMlI4kseu9EBFUQc1KI1hq7/UpzJyuhoACTMeaALJAxMzF3qoqIYo6gKpFEIaqgNWdGYGas60oVV2QFwpGEmzPHwHtnXVeKAgkEJCCQRGaCRGUhxHOf+zx+4ud+nQNxlfTgucfqy//lI2QlY12JmXhr/F9FJUQVkljHREBmYSbkxowgM3HvjHUFiYyiqgCRWWQGBWQW5s5RRFKVRAa9bdjvdpg7MqcqGWPSesMkMouiKIqYgbuTmUiiqohI3A0hnvOc5/L6t3+EA3GV9NB9j9d/f/RXWJbOGJOIJKto7kQGBajEzElmcVQFBciMiMTd2e9W3Bvr2JOZuHXMRFWRVSBjXVfcnYjA5MjEGAM3Z86kVLg3spKI4GtkImYgiSpwcyKC1p05g6rEzJhz8g3f8Hxe/3Mf4UBcJT1472P1p3/0a0gciBnBfrcHCQkiEoorWu/s9ytZBTKgyEyWvuHy5R1FUYgqaK2x7lf60jmKCKogK6DEFSXGGJgZMmONQWXh7vTeqSoigsrC3MkMKJEZyAwzse5Xlu2GjCRi8vXPez6vf/uHORBXSQ+ee6y+9NgHyCooGGNSWSSFu5OZgIg5KTMigoiAMnpvzJhEJFlFZuLWkBkRQWRCFogDQwVIQFFZmDuRwYzA3IkIzIzIwM2ZM9hsNkQEYx3IjKoEit47VTDnAIQ3QxjPeuaz+Kl3/BsOxFXSb977WP3JEx8kM1nXlTmCkiiBmzPGYLNs2e12ZCbWnL/1ohfxlOtfQE2gQVHUCuriioAxky5RHHRYB3jBrMIlvAokjtYqzERlMQAHFon/VcV1EkEhg4xiIkSxlZEUFzMRoktsJK674Tq+7TtfzYG4Snrgnkfri5/5l7g7lcWIQG5kQswAhLszZxARtOb82B0/xVNveiV/hYm/BP3mvY/W5x5+HwGYOyaRmUQUlKgqJGOOFdyogte/7Q087aZX8hfEX3O6/+yF+uNHfoXIpKpwc8aYHEUkklESY10xN0C8/m0/w9NueiUH4hqgB+55tJ54+P0IQxKSiEpMxn4duDtCRCQzBmbGT/7sG3jaTa/kQFwDdN/ZC/XE77+fAjKT1jozJlVQlYCYcyKB0SiKf/z2N3LDzbdxIK4Buu/uC3Xhd99L6w0K1jE4mnOy3W4Z6wREVmLuVBY/8443csNNt3EgrgG67+yj9cjv/DPMG1BEBEhUJJKDBFVEBNYbmckb/skdnLn5Ng7ENUDn7r5Qj/3H9zHGoHmnKKpEZiKKLK7ISgqQxBvf8SbO3HwbB+IaoHvvOl/nP/EeMqF7IzJIiYjA3JhjIgkEQmQmb/6Ft3Lm5ts4ENcA3XvX+XrkY+9hZtC8YWbMmGQVVVAqhJBEZmJm3PGON3HmGbdzIK4BuveuC/WZj72bmYHMKAqKK6qKqgKEmXFUVbz559/MmWfczoG4Bujc3Y/WJ3/7XRzJREURGZgZkiFEZtKXzpxBVfGmn7+DMzffzoG4BuieO8/XZz7xXvb7Pb13xjowN5BRmRTCXZhEZlIFb/mFt3DmGbdzIK4BuufOR+oPP/5eMpOqIrOQxFFmUgWtOWZiRmIm3vRP38yNz7idA3EN0L13Xag//Ph7mXMgxIzA3akqjjKDqsLciUhac97yjrdy5lm38RfEX3O6587z9emPvRtkREwiAndHgszC3QBRVWQmZsbf/rZbeOZyA3qqqLVgACsHBYiiEIVkIFGZSCIiMHO0QK1cUZXYxtntgo2EXFQWaxULBxIyo7KoSqoKM+NrqoqqwsyoKhAIoyiEKAqqwISdGnWxyAzMnW965ffxpKc/W7r3rvP18EPvpC8Lc04iAyFkoqqgwMzIDMwdCjITSZgZlUXrjXVdcXNmTARYa1Dg7mQmVUllIROZiZlhZow56c3JLCoLc+MoKxGiqnB3IhKZoAqZEXOyLAtjDkyGmbGuK5KoSswcM0MSEYEkZEbMSWvOmMFb73g3N37Li6V77nyk/vDj7yMiMDeqkjkmkoCCElDIDG+NOQZVhSQkEEbrjf1ujwTenMzCzJlzYGaYGVWFmcjkoDATkjHG4Ki1xpyDzKL3jruTmRzNOWmtkZlQEBn01skq5hz0pZMzKY4KM6OqgELmUMUYg2VZiAjcnTknb7vj3Zx54S3onrvO16c+9m4qkyzIDEwChEwIcZSZCJEUlYmZ4d6oSiKCqqKqcH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"},{"id":"e14c3bb1-3a0f-4131-af98-780f41595cad","height":19.02,"width":35.89,"perimeter":134.83,"area":314.58,"image":"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"},{"id":"a049045e-9019-4891-8692-1e40cf056a19","height":20.09,"width":19.29,"perimeter":102.66,"area":183.57,"image":"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"},{"id":"b8ab5522-cb55-4832-8763-6453c0230570","height":8.84,"width":8.57,"perimeter":52.67,"area":54.03,"image":"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OfSign":"120","otherDimensionOfSign":32.39,"width_of_smaller_line":20},"timestamp":"2026-01-29 06:40:13"} 
[2026-01-29 06:40:15] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_depth":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flush/Stud 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\",\"boxArea\":\"478.95\"},{\"id\":\"e14c3bb1-3a0f-4131-af98-780f41595cad\",\"width\":35.89,\"perimeter\":134.83,\"height\":19.02,\"area\":314.58,\"image\":\"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DMDXOjeGGpjx0vhVIr4zDHrbDd9tuwbv2e7LX/Rva8+0Z2Wb8fpVS2YtwGTBI/A2ILSVx37VVcedlF3LTpIq644mJuunFOjpu49nvXk4KMEbfCdNWM1WtmtMn2bLN2F9btspbZmp3YYae7ssOOu+JeuAXjNmaS+DkQtw3jdvZ/AXEFZUbrf2AhAAAAAElFTkSuQmCC\",\"boxArea\":\"387.54\"},{\"id\":\"b8ab5522-cb55-4832-8763-6453c0230570\",\"width\":8.57,\"perimeter\":52.67,\"height\":8.84,\"area\":54.03,\"image\":\"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\",\"boxArea\":\"75.76\"},{\"id\":\"c579a827-c6a2-4b71-a082-72a5b0048794\",\"width\":8.3,\"perimeter\":44.79,\"height\":8.84,\"area\":41.72,\"image\":\"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\",\"boxArea\":\"73.37\"},{\"id\":\"2ebff7f9-1731-4137-a2d7-60d8d11b975b\",\"width\":8.84,\"perimeter\":33.34,\"height\":8.84,\"area\":31.5,\"image\":\"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\",\"boxArea\":\"78.15\"}]","mockupCreationType":"single","no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39"}},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: API Input Data Collected {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","sign_depth_or_thickness":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null}},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Looking up SignType {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Retrieved Material Formulas {"data":{"sign_type_id":14,"formulas_count":24},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Retrieved Variables List {"data":{"sign_type_id":14,"variables_count":9},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Price Map Constructed {"data":{"price_map":{"material501803":3.6821,"weight_material501803":0.629,"material501880":2.4107,"weight_material501880":0.503,"material501060":2.2179,"weight_material501060":0.378,"material500730":2.7786,"weight_material500730":1.481,"material500591":0.9286,"weight_material500591":0.357,"material500611":0.0062,"weight_material500611":6.2e-6,"material500214":0.0025,"weight_material500214":2.5e-6,"material501055":0.0155,"weight_material501055":1.55e-5,"material502098":0.0286,"weight_material502098":2.86e-5,"material502079":0.0163,"weight_material502079":1.63e-5,"material502350":0.0254,"weight_material502350":2.54e-5,"material501680":0.0076,"weight_material501680":7.6e-6,"material502131":0.0271,"weight_material502131":2.71e-5,"material500379":0.132,"weight_material500379":0.09,"material500419":0.16,"weight_material500419":0.11,"material502106":0.13,"weight_material502106":0.16,"material502567":0.13,"weight_material502567":0.21,"material502564":0.18,"weight_material502564":0.35,"material500154":0.4,"weight_material500154":0.38,"material502074":0.8,"weight_material502074":1.0}},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Variables Price Constructed {"data":{"variables_price":{"variable82":0,"variable83":0.75,"variable84":1.1,"variable85":1.2,"variable86":0,"variable87":0,"variable88":0,"variable89":0,"variable90":0}},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Final Variables Merged {"data":{"variables_count":161},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Initialized items collection {"data":{"count":0},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Merged material items {"data":{"formulas_count":24,"items_count_after_merge":24},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Merged variable items {"data":{"variables_count":9,"items_count_after_merge":33},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Sorted items collection {"data":{"items_count":33,"first_item":{"type":"material","id":298,"expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, variable85 * nested_area * material501803, 0 )","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","var_name":"material501803","price":"3.6821","description":"Aluminium sheet 0.098\" – Durable, corrosion-resistant, suitable for both indoor and outdoor channel letter faces.","sequence_no":1},"last_item":{"type":"variable","id":90,"expression":"totalCost * variable84","dense_weight_expression":"totalDenseWeight  * 1.1","name":"Total Cost","var_name":"variable90","price":null,"description":null,"sequence_no":33}},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Initializing MathExecutor {"data":{"variables_count":161},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: MathExecutor variables set {"data":{"variables_count":161},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, variable85 * nested_area * material501803, 0 )","result":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches, weight_material501880 * occupied_area, 0 )","itemDenseWeight":"4.39119"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches, variable85 * nested_area * material501880, 0 )","result":"48.5707836"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, 0, weight_material501060 * ( sign_depth_or_thickness / 12 * perimeter_of_sign )  )","itemDenseWeight":"1.746045"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, 0, material501060 * variable85 * ( sign_depth_or_thickness / 12 * perimeter_of_sign )  )","result":"12.2938197"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, occupied_area * weight_material500730 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, variable85 * nested_area * material500730, 0 )","result":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * weight_material500591 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, variable85 * ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * material500591, 0 )","result":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: No formula, default result applied {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight":0,"result":0},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Epoxy Primer Pakistan","dense_weight_expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * weight_material500611","itemDenseWeight":0.004423515494200001},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Primer Pakistan","expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * material500611","result":4.4235154942},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Master Thinner Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * weight_material500214","itemDenseWeight":0.00035133004291666676},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"Master Thinner Pakistan","expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * material500214","result":0.35133004291666675},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Epoxy Hardner Master Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * weight_material501055","itemDenseWeight":0.0033511481016666677},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Hardner Master Pakistan","expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * material501055","result":3.3511481016666673},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * weight_material502098 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * material502098, 0 )","result":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * weight_material502079 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * material502079, 0 )","result":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502350 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502350, 0 )","result":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * weight_material501680 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * material501680, 0 )","result":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * weight_material502098 )","itemDenseWeight":"0.0068874224466667"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * material502098 )","result":"6.8874224466667"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502131 )","itemDenseWeight":"0.00334268473"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502131 )","result":"3.34268473"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * weight_material502350 )","itemDenseWeight":"0.0044757086"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * material502350)","result":"4.4757086"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * weight_material501680 )","itemDenseWeight":"0.00035711690666667"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * material501680 )","result":"0.35711690666667"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"Paint Miscellaneous cost","expression":"0.2 * ( formula304 + formula305 + formula306 + formula307 + formula308 + formula309 + formula310 + formula311 + formula312 + formula313 + formula314 )","result":4.637785264423341},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"Packaging/Box Making","expression":"variable83 * nested_area","result":12.5925},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 5ply","dense_weight_expression":"if( ( width_of_sign > 0 || other_dimension_of_sign > 0 ) && width_of_sign <= 30 && other_dimension_of_sign <= 30, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500379 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 5ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 7Ply","dense_weight_expression":"if( ( width_of_sign > 30 || other_dimension_of_sign > 30 ) && width_of_sign <= 50 && other_dimension_of_sign <= 50, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500419 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 7Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight_expression":"if( ( width_of_sign > 50 || other_dimension_of_sign > 50 ) && width_of_sign <= 60 && other_dimension_of_sign <= 60, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material502106 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ) && width_of_sign <= 70 && other_dimension_of_sign <= 70, nested_area * 2 * weight_material502567 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight_expression":"if( ( width_of_sign > 70 || other_dimension_of_sign > 70 ) && width_of_sign <= 90 && other_dimension_of_sign <= 90, nested_area * 2 * weight_material502564 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight_expression":"if( ( width_of_sign > 90 || other_dimension_of_sign > 90 ), nested_area * weight_material500154 * 2, 0 )","itemDenseWeight":"12.7604"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight":"12.7604","result":0},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Wood Lar 9''x132''","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ), 4 * sqrt(nested_area) * (  ( sign_depth_or_thickness + 2 ) / 12 ) * weight_material502074 , 0 )","itemDenseWeight":"4.0975602497096"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: No formula, default result applied {"data":{"name":"Wood Lar 9''x132''","dense_weight":"4.0975602497096","result":0},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: No formula, default result applied {"data":{"name":"Miscalleneous (10%)","dense_weight":0,"result":0},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: No formula, default result applied {"data":{"name":"Where Wastage magnification factor for Sheets consumption is taken as","dense_weight":0,"result":0},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"Flush/Stud Mount","expression":"if(mounting_type == mounting_type_flush_stud_mounted, 1, 0 )","result":"1"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Standard Raceway (6x2)","dense_weight_expression":"if(mounting_type == mounting_type_standard_raceway_6x2, (  (  (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_height * 2 ) + ( raceway_height * raceway_depth * 2 ) + (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_depth * 2 )  ) / 144 ) * weight_material501803 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"Standard Raceway (6x2)","expression":"if(mounting_type == mounting_type_standard_raceway_6x2, variable85 * (  ( material501803 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  ) + ( 2.7 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Flat Backer (2.5 mm)","dense_weight_expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) / 144 * weight_material501803 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"Flat Backer (2.5 mm)","expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, variable85 * (  ( material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2.7 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Dense weight computed {"data":{"name":"Backerboard Cabinet (2\")","dense_weight_expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, (  ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  ) + ( 2 * (  ( other_dimension_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  )  ) / 144 * weight_material501803, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula executed successfully {"data":{"name":"Backerboard Cabinet (2\")","expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, variable85 * (  (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * material501803 / 144 ) + (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * 2.7 / 144 )  ), 0 )","result":"0"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Total Cost formula detected {"data":{"item_id":90},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Formula calculations completed {"data":{"total_items":33,"successful_calculations":32,"errors_count":0},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Summed initial totals {"data":{"totalCost_before_formula":102.28381488654007,"totalDenseWeight_before_formula":23.018384176031716},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Total Cost formula executed {"data":{"formula":"totalCost * variable84","computed_totalCost":112.5121963751941},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Total Dense Weight formula executed {"data":{"formula":"totalDenseWeight  * 1.1","computed_totalDenseWeight":25.32022259363489},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Total Cost result added to calculationsResults {"data":{"variable_id":90,"result":112.5121963751941,"dense_weight_expression":25.32022259363489},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Preparing boxes for bin packing {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","objects_count":8,"totalDenseWeight":0},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: Processing flush stud mounted objects for 3D bin packing {"data":{"objects_count":8,"sign_depth":"1"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-1","width":23.84,"height":20.09,"depth":"1"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-2","width":35.89,"height":19.02,"depth":"1"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-3","width":16.34,"height":19.02,"depth":"1"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-4","width":17.41,"height":19.02,"depth":"1"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-5","width":19.29,"height":20.09,"depth":"1"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-6","width":8.57,"height":8.84,"depth":"1"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-7","width":8.3,"height":8.84,"depth":"1"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:15] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-8","width":8.84,"height":8.84,"depth":"1"},"timestamp":"2026-01-29 06:40:15"} 
[2026-01-29 06:40:16] local.INFO: 3D Bin Packing API response received {"data":{"response":{"response":{"id":"1769668816_c2cb5b6ef7ec22a710f1702fc0c86a42","bins_packed":[{"bin_data":{"w":36.19,"h":20.39,"d":6.5,"id":"unique","used_space":67.6963,"weight":0,"gross_weight":0,"used_weight":100,"stack_height":20.39,"order_id":null},"image_complete":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/2a6515ac21958ce1f14d2e4b167b94c1/1769668816-0453-9711230.svg","items":[{"id":"item-2","w":36.19,"h":19.32,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/2a6515ac21958ce1f14d2e4b167b94c1/1769668816-0447-9871533.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-4","w":17.71,"h":19.32,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/2a6515ac21958ce1f14d2e4b167b94c1/1769668816-0449-3113814.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-8","w":9.14,"h":9.14,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/2a6515ac21958ce1f14d2e4b167b94c1/1769668816-0449-5018784.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-3","w":16.64,"h":19.32,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/2a6515ac21958ce1f14d2e4b167b94c1/1769668816-045-6684205.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-6","w":8.87,"h":9.14,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/2a6515ac21958ce1f14d2e4b167b94c1/1769668816-0451-3615359.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-7","w":8.6,"h":9.14,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/2a6515ac21958ce1f14d2e4b167b94c1/1769668816-0451-3634959.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-1","w":24.14,"h":20.39,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/2a6515ac21958ce1f14d2e4b167b94c1/1769668816-0452-9457059.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-5","w":19.59,"h":20.39,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/2a6515ac21958ce1f14d2e4b167b94c1/1769668816-0453-8550677.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}}]}],"errors":[],"status":1,"not_packed_items":[]}}},"timestamp":"2026-01-29 06:40:16"} 
[2026-01-29 06:40:16] local.INFO: Box added from packed bin {"data":{"length":6.5,"width":36.19,"height":20.39,"denseWeight":0},"timestamp":"2026-01-29 06:40:16"} 
[2026-01-29 06:40:16] local.INFO: Shipping rates calculated {"data":{"boxes":[{"size":{"length":8.5,"width":38.19,"height":22.64},"quantity":1,"denseWeight":1}],"cheapestShippingCost":258.47284999999994,"rawShippingRates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":39.2,"rate":"303.46","tariffAndDS":342.65999999999997,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":548.8497659999999,"totalShipmentCostFormula":"((tariffAndDS (342.66) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 548.85","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":39.2,"rate":"176","tariffAndDS":215.2,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":357.0097199999999,"totalShipmentCostFormula":"((tariffAndDS (215.2) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 357.01","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":24.5,"rate":223.44,"tariffAndDS":247.94,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":381.08377999999993,"totalShipmentCostFormula":"(( tariffAndDS (247.94) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 381.08378","warnings":[]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":39.2,"rate":"264.00","tariffAndDS":303.2,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":325.2,"totalShipmentCostFormula":"(((tariffAndDS (303.2) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 325.2","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":0,"rate":"156.12","tariffAndDS":156.12,"fuelSurcharge":"0.3250","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":258.47284999999994,"totalShipmentCostFormula":"(((tariffAndDS (156.12) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3250)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 258.47285","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":0,"rate":695,"tariffAndDS":695,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":695,"totalShipmentCostFormula":"((tariffAndDS (695) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 695"}]}},"timestamp":"2026-01-29 06:40:16"} 
[2026-01-29 06:40:16] local.INFO: Product cost factor determined {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","productCostFactor":1.66},"timestamp":"2026-01-29 06:40:16"} 
[2026-01-29 06:40:16] local.INFO: Final API Response {"data":{"sign_width":"120","sign_height":"32.39","sign_depth":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","processed_sign_type":"Fabricated Channel Letters - Non Illuminated","sideViewImage":"https://api.signize.ai/mockups/flush-stud/flush-stud-fabricated-channel-letters-non-illuminated.png","mounting_type":"Flush/Stud mounted","combined_production_cost_usd":120.0,"total_production_cost":190.0,"totalDenseWeight":0,"totalVolumetricWeight":24.5,"bin_packing_result":{"response":{"id":"1769668816_c2cb5b6ef7ec22a710f1702fc0c86a42","bins_packed":[{"bin_data":{"w":36.19,"h":20.39,"d":6.5,"id":"unique","used_space":67.6963,"weight":0,"gross_weight":0,"used_weight":100,"stack_height":20.39,"order_id":null},"image_complete":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/2a6515ac21958ce1f14d2e4b167b94c1/1769668816-0453-9711230.svg","items":[{"id":"item-2","w":36.19,"h":19.32,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/2a6515ac21958ce1f14d2e4b167b94c1/1769668816-0447-9871533.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-4","w":17.71,"h":19.32,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/2a6515ac21958ce1f14d2e4b167b94c1/1769668816-0449-3113814.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-8","w":9.14,"h":9.14,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/2a6515ac21958ce1f14d2e4b167b94c1/1769668816-0449-5018784.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-3","w":16.64,"h":19.32,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/2a6515ac21958ce1f14d2e4b167b94c1/1769668816-045-6684205.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-6","w":8.87,"h":9.14,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/2a6515ac21958ce1f14d2e4b167b94c1/1769668816-0451-3615359.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-7","w":8.6,"h":9.14,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/2a6515ac21958ce1f14d2e4b167b94c1/1769668816-0451-3634959.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-1","w":24.14,"h":20.39,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/2a6515ac21958ce1f14d2e4b167b94c1/1769668816-0452-9457059.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-5","w":19.59,"h":20.39,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/2a6515ac21958ce1f14d2e4b167b94c1/1769668816-0453-8550677.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}}]}],"errors":[],"status":1,"not_packed_items":[]}},"shipping_rates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":39.2,"rate":"303.46","tariffAndDS":342.65999999999997,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":548.8497659999999,"totalShipmentCostFormula":"((tariffAndDS (342.66) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 548.85","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":39.2,"rate":"176","tariffAndDS":215.2,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":357.0097199999999,"totalShipmentCostFormula":"((tariffAndDS (215.2) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 357.01","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":24.5,"rate":223.44,"tariffAndDS":247.94,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":381.08377999999993,"totalShipmentCostFormula":"(( tariffAndDS (247.94) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 381.08378","warnings":[]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":39.2,"rate":"264.00","tariffAndDS":303.2,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":325.2,"totalShipmentCostFormula":"(((tariffAndDS (303.2) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 325.2","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":0,"rate":"156.12","tariffAndDS":156.12,"fuelSurcharge":"0.3250","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":258.47284999999994,"totalShipmentCostFormula":"(((tariffAndDS (156.12) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3250)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 258.47285","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":8.5,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":24.5,"higherWeight":24.5,"quantity":1}],"totalHigherWeight":24.5,"DS":0,"rate":695,"tariffAndDS":695,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":695,"totalShipmentCostFormula":"((tariffAndDS (695) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 695"}]},"cheapest_shipping_cost_usd":260.0,"totalCost":450.0,"productionResults":[{"material_id":298,"dense_weight_expression":0,"result":"0","sign_material":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","description":null,"sequence_no":1},{"material_id":299,"dense_weight_expression":4.39119,"result":"48.5707836","sign_material":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","description":"Aluminium sheet 0.079\" – 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Pakistan","description":null,"sequence_no":7},{"material_id":305,"dense_weight_expression":0.00035133004291666676,"result":0.35133004291666675,"sign_material":"Master Thinner Pakistan","description":null,"sequence_no":8},{"material_id":306,"dense_weight_expression":0.0033511481016666677,"result":3.3511481016666673,"sign_material":"Epoxy Hardner Master Pakistan","description":null,"sequence_no":9},{"material_id":307,"dense_weight_expression":0,"result":"0","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":10},{"material_id":308,"dense_weight_expression":0,"result":"0","sign_material":"Matting Agent (P565-554) 1L Nexa Pakistan","description":null,"sequence_no":11},{"material_id":309,"dense_weight_expression":0,"result":"0","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":12},{"material_id":310,"dense_weight_expression":0,"result":"0","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":13},{"material_id":311,"dense_weight_expression":0.0068874224466667,"result":"6.8874224466667","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":14},{"material_id":312,"dense_weight_expression":0.00334268473,"result":"3.34268473","sign_material":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","description":"High Quality Gloss / Satin Paint – PU or solvent-based, gloss (70+ GU) or satin (30–50 GU) sheen.","sequence_no":15},{"material_id":313,"dense_weight_expression":0.0044757086,"result":"4.4757086","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":16},{"material_id":314,"dense_weight_expression":0.00035711690666667,"result":"0.35711690666667","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":17},{"variable_id":82,"dense_weight_expression":0,"result":4.637785264423341,"sign_material":"Paint Miscellaneous cost","description":null,"sequence_no":18},{"variable_id":83,"dense_weight_expression":0,"result":12.5925,"sign_material":"Packaging/Box Making","description":"Custom Packaging with 3–5 ply corrugated boxes with inner foam/styro and stretch wrap.","sequence_no":19},{"material_id":526,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 5ply","description":null,"sequence_no":20},{"material_id":527,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 7Ply","description":null,"sequence_no":21},{"material_id":528,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 9 Ply","description":null,"sequence_no":22},{"material_id":529,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 5mm 3 Core 4*8","description":null,"sequence_no":23},{"material_id":530,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 7mm 4 Core","description":null,"sequence_no":24},{"material_id":531,"dense_weight_expression":12.7604,"result":0,"sign_material":"Plywood Sheet 8*4 Mersawa 6 core 9MM","description":null,"sequence_no":25},{"material_id":532,"dense_weight_expression":4.0975602497096,"result":0,"sign_material":"Wood Lar 9''x132''","description":null,"sequence_no":26},{"variable_id":84,"dense_weight_expression":0,"result":0,"sign_material":"Miscalleneous (10%)","description":null,"sequence_no":27},{"variable_id":85,"dense_weight_expression":0,"result":0,"sign_material":"Where Wastage magnification factor for Sheets consumption is taken as","description":null,"sequence_no":28},{"variable_id":86,"dense_weight_expression":0,"result":"1","sign_material":"Flush/Stud Mount","description":"Sign to be Flush/Stud Mounted to the wall.","sequence_no":29},{"variable_id":87,"dense_weight_expression":0,"result":"0","sign_material":"Standard Raceway (6x2)","description":null,"sequence_no":30},{"variable_id":88,"dense_weight_expression":0,"result":"0","sign_material":"Flat Backer (2.5 mm)","description":null,"sequence_no":31},{"variable_id":89,"dense_weight_expression":0,"result":"0","sign_material":"Backerboard Cabinet (2\")","description":null,"sequence_no":32},{"variable_id":90,"dense_weight_expression":25.32022259363489,"result":112.5121963751941,"sign_material":"Total Cost","description":null,"sequence_no":33}],"productionError":[],"request":{"sign_width_or_height":"120","sign_depth_or_thickness":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null},"TATDays":21,"testDenseWeight":25.32022259363489},"timestamp":"2026-01-29 06:40:16"} 
[2026-01-29 06:40:16] local.INFO: API Epic Craftings Calculation Ended ======================================================================================================== {"data":null,"timestamp":"2026-01-29 06:40:16"} 
[2026-01-29 06:40:18] local.INFO: API B2 Sign Calculation Started ======================================================================================================== {"data":null,"timestamp":"2026-01-29 06:40:18"} 
[2026-01-29 06:40:18] local.INFO: Incoming Request {"data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","dimensions":[{"id":"811aaf8a-3b17-4252-b459-d9f2e459146a","height":20.09,"width":23.84},{"id":"e14c3bb1-3a0f-4131-af98-780f41595cad","height":19.02,"width":35.89},{"id":"ee94d3d0-ea37-4a83-a27a-3080abaffda3","height":19.02,"width":16.34},{"id":"62f8e97b-f7ee-4599-9c1b-a977ecfb8b6c","height":19.02,"width":17.41},{"id":"a049045e-9019-4891-8692-1e40cf056a19","height":20.09,"width":19.29},{"id":"b8ab5522-cb55-4832-8763-6453c0230570","height":8.84,"width":8.57},{"id":"c579a827-c6a2-4b71-a082-72a5b0048794","height":8.84,"width":8.3},{"id":"2ebff7f9-1731-4137-a2d7-60d8d11b975b","height":8.84,"width":8.84}]},"timestamp":"2026-01-29 06:40:18"} 
[2026-01-29 06:40:18] local.INFO: Validating Request Payload {"data":[],"timestamp":"2026-01-29 06:40:18"} 
[2026-01-29 06:40:18] local.INFO: Request Validation Successful {"data":{"validated_data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","dimensions":[{"id":"811aaf8a-3b17-4252-b459-d9f2e459146a","height":20.09,"width":23.84},{"id":"e14c3bb1-3a0f-4131-af98-780f41595cad","height":19.02,"width":35.89},{"id":"ee94d3d0-ea37-4a83-a27a-3080abaffda3","height":19.02,"width":16.34},{"id":"62f8e97b-f7ee-4599-9c1b-a977ecfb8b6c","height":19.02,"width":17.41},{"id":"a049045e-9019-4891-8692-1e40cf056a19","height":20.09,"width":19.29},{"id":"b8ab5522-cb55-4832-8763-6453c0230570","height":8.84,"width":8.57},{"id":"c579a827-c6a2-4b71-a082-72a5b0048794","height":8.84,"width":8.3},{"id":"2ebff7f9-1731-4137-a2d7-60d8d11b975b","height":8.84,"width":8.84}]}},"timestamp":"2026-01-29 06:40:18"} 
[2026-01-29 06:40:18] local.INFO: Fetching Sign Type {"data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated"},"timestamp":"2026-01-29 06:40:18"} 
[2026-01-29 06:40:18] local.INFO: Sign Type Query Result {"data":{"found":true,"sign_type_id":14},"timestamp":"2026-01-29 06:40:18"} 
[2026-01-29 06:40:18] local.INFO: Checking B2 Module for Sign Type {"data":{"sign_type_id":14},"timestamp":"2026-01-29 06:40:18"} 
[2026-01-29 06:40:18] local.INFO: Sign Type B2 Module Result {"data":{"has_b2_module":false},"timestamp":"2026-01-29 06:40:18"} 
[2026-01-29 06:40:18] local.ERROR: Sign Type Without B2 Module Attempt {"data":{"sign_type_id":14},"timestamp":"2026-01-29 06:40:18"} 
[2026-01-29 06:40:18] local.INFO: USA Workshop Calculation API Started {"data":{"request":{"sign_type":"Fabricated Channel Letters - Non Illuminated","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","shipping_weight":24.5,"shape":"rectangular","dimensions":[{"id":"811aaf8a-3b17-4252-b459-d9f2e459146a","height":20.09,"width":23.84},{"id":"e14c3bb1-3a0f-4131-af98-780f41595cad","height":19.02,"width":35.89},{"id":"ee94d3d0-ea37-4a83-a27a-3080abaffda3","height":19.02,"width":16.34},{"id":"62f8e97b-f7ee-4599-9c1b-a977ecfb8b6c","height":19.02,"width":17.41},{"id":"a049045e-9019-4891-8692-1e40cf056a19","height":20.09,"width":19.29},{"id":"b8ab5522-cb55-4832-8763-6453c0230570","height":8.84,"width":8.57},{"id":"c579a827-c6a2-4b71-a082-72a5b0048794","height":8.84,"width":8.3},{"id":"2ebff7f9-1731-4137-a2d7-60d8d11b975b","height":8.84,"width":8.84}]}},"timestamp":"2026-01-29 06:40:18"} 
[2026-01-29 06:40:18] local.INFO: Validation Passed {"data":[],"timestamp":"2026-01-29 06:40:18"} 
[2026-01-29 06:40:18] local.INFO: Input Parameters {"data":{"dimensions_count":8,"shape":"rectangular"},"timestamp":"2026-01-29 06:40:18"} 
[2026-01-29 06:40:18] local.INFO: Resolved Default Data {"data":{"sign_type_map":{"sign_type_halo_lit_letters":"Halo Lit Channel Letters","sign_type_face_lit_letters":"Premium Face-Lit Letters (Metallic Trim)","sign_type_face_and_halo_lit_letters":"Face & Halo Lit Channel Letters","sign_type_single_sided_lightbox":"Fabricated Lightbox - Single Sided","sign_type_double_sided_lightbox":"Fabricated Blade Sign -  Illuminated/Double Sided","sign_type_flat_cut_acrylic_letters":"Flat Cut Acrylic Letters","sign_type_flat_cut_aluminum_letters":"Flat Cut Aluminum Letters","sign_type_single_sided_push_through":"Fabricated Push Through - Single Sided","sign_type_fabricated_letters_non_lit":"Fabricated Channel Letters - Non Illuminated","sign_type_2d_blade_sign":"Flat Blade Sign","sign_type_3d_blade_sign":"Fabricated Blade Sign - Non Illuminated / Double Sided","sign_type_neon_sign":"Neon Sign","sign_type_marquee_channel_letters":"Marquee Channel Letters","sign_type_open_face_neon_channel_letters":"Open Face Neon Channel Letters","sign_type_mirror_infinity_channel_letters":"Mirror Infinity Channel Letters","sign_type_metal_on_acrylic":"Flat Cut Acrylic with Metal Pasting","sign_type_neon_acrylic_sign":"Neon Acrylic Sign","sign_type_double_sided_push_through_cabinet":"Double Sided Push Through Cabinet","sign_type_standard_face_lit_plastic_trim_letters":"Standard Face Lit Letters (Plastic Trim)","mounting_type_flush_stud_mounted":"Flush/Stud mounted","mounting_type_standard_raceway_6x2":"Standard Raceway","mounting_type_flat_backer_2_5_mm":"Flat Backer","mounting_type_backerboard_cabinet_2_inch":"Backerboard Cabinet","avg_char_height_less_than_24_inches":"Less than 24 inches","avg_char_height_greater_than_24_inches":"Greater than 24 inches","raceway_height_6":"6","raceway_height_8":"8","raceway_height_10":"10","raceway_height_12":"12","raceway_depth_2":"2","raceway_depth_3":"3","raceway_depth_4":"4","raceway_depth_5":"5","raceway_depth_6":"6","raceway_depth_7":"7","raceway_depth_8":"8","backboard_cabinet_depth_2":"2","backboard_cabinet_depth_3":"3","backboard_cabinet_depth_4":"4","backboard_cabinet_depth_5":"5","backboard_cabinet_depth_6":"6","backboard_cabinet_depth_7":"7","backboard_cabinet_depth_8":"8","material_aluminium":"Aluminium","material_stainless_steel":"Stainless Steel","application_exterior":"Exterior","application_interior":"Interior","ul_mandatory_yes":"Yes","ul_mandatory_no":"No","paint_finish_gloss_satin":"Gloss/Satin","paint_finish_matte":"Matte","neon_color_simple":"Simple","neon_color_rgb":"RGB","uv_printing_needed_yes":"Yes","uv_printing_needed_no":"No","trim_type_trimless":"Trimless","trim_type_with_trim":"With Trim","fabricated_finish_original_colors_matt":"Original Colors Matt","fabricated_finish_original_colors_gloss":"Original Colors Gloss","fabricated_finish_silver_mirror":"Silver Mirror","fabricated_finish_silver_brushed":"Silver Brushed","fabricated_finish_golden_mirror":"Golden Mirror","fabricated_finish_golden_brushed":"Golden Brushed","fabricated_finish_bronze_mirror":"Bronze Mirror","fabricated_finish_bronze_brushed":"Bronze Brushed","fabricated_finish_bronze_antique":"Bronze Antique","lightbox_type_light_box":"Lightbox","lightbox_type_cut_to_shape":"Cut to shape Lightbox","return_color_black":"Black","return_color_white":"White","return_color_blue":"Blue","return_color_brown":"Brown","return_color_yellow":"Yellow","return_color_teal":"Teal","return_color_orange":"Orange","return_color_golden_brushed":"Gold Brushed","return_color_match_logo":"Match Logo (Default)","shape_rectangular":"Rectangular","shape_cut_to_shape":"Cut to shape","shape_round":"Round"}},"timestamp":"2026-01-29 06:40:18"} 
[2026-01-29 06:40:18] local.INFO: Sign Type Lookup {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","found":true,"sign_type_id":14},"timestamp":"2026-01-29 06:40:18"} 
[2026-01-29 06:40:18] local.INFO: USA Workshop Module Check {"data":{"sign_type_id":14,"has_module":true},"timestamp":"2026-01-29 06:40:18"} 
[2026-01-29 06:40:18] local.INFO: Initial Price Lookup {"data":{"shape":"rectangular","price_found":true},"timestamp":"2026-01-29 06:40:18"} 
[2026-01-29 06:40:18] local.INFO: USA Workshop Price Found {"data":{"base":"object","price_per_inch":5.0},"timestamp":"2026-01-29 06:40:18"} 
[2026-01-29 06:40:18] local.INFO: Calculating Production Cost (Object Base) {"data":[],"timestamp":"2026-01-29 06:40:18"} 
[2026-01-29 06:40:18] local.INFO: USA Workshop Calculation Completed {"data":{"production_cost":618.8000000000001,"dimensions_count":8},"timestamp":"2026-01-29 06:40:18"} 
[2026-01-29 06:43:21] local.INFO: Image-to-Text API Request Received {"data":{"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_image":{"Illuminate\\Http\\UploadedFile":"C:\\xampp\\tmp\\phpC106.tmp"}},"file_present":true},"timestamp":"2026-01-29 06:43:21"} 
[2026-01-29 06:43:21] local.INFO: Validation Passed {"data":{"sign_width_or_height":"120","user_input_dimension":"width"},"timestamp":"2026-01-29 06:43:21"} 
[2026-01-29 06:43:21] local.INFO: Prepared Query Parameter for Image-to-Text API {"data":{"query_param":"banner_width_ft","query_value":9.999996},"timestamp":"2026-01-29 06:43:21"} 
[2026-01-29 06:43:21] local.INFO: Calling Image-to-Text API {"data":{"file_name":"edited-image-1766486981186.png","query_param":"banner_width_ft","query_value":9.999996,"file_size":44354},"timestamp":"2026-01-29 06:43:21"} 
[2026-01-29 06:43:21] local.INFO: Trying Image-to-Text server {"data":{"url":"https://edgebased.codeblue.agency/docs/process-image?banner_width_ft=9.999996","file":"edited-image-1766486981186.png"},"timestamp":"2026-01-29 06:43:21"} 
[2026-01-29 06:43:22] local.ERROR: Server FAILED {"data":{"url":"https://edgebased.codeblue.agency/docs/process-image?banner_width_ft=9.999996","error":"Server responded but data invalid"},"timestamp":"2026-01-29 06:43:22"} 
[2026-01-29 06:43:22] local.INFO: Trying Image-to-Text server {"data":{"url":"http://imagetotext.marke-ter.online:8002/process-image?banner_width_ft=9.999996","file":"edited-image-1766486981186.png"},"timestamp":"2026-01-29 06:43:22"} 
[2026-01-29 06:43:23] local.INFO: Server succeeded {"data":{"url":"http://imagetotext.marke-ter.online:8002/process-image?banner_width_ft=9.999996"},"timestamp":"2026-01-29 06:43:23"} 
[2026-01-29 06:43:23] local.INFO: Image-to-Text API Response 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\",\"scaled_width\":24.32,\"scaled_height\":20.31,\"exact_perimeter\":112.12,\"approximate_perimeter\":104.14,\"convex_hull_perimeter\":78.47,\"perimeter_pixels\":419.52,\"approximation_points\":12,\"original_contour_points\":109,\"shape_analysis\":{\"perimeter_to_area_ratio\":0.3437,\"compactness\":0.3261,\"aspect_ratio\":1.2}},{\"index\":1,\"position\":{\"x\":219,\"y\":42,\"width\":136,\"height\":73},\"actual_filled_area\":343.18,\"bounding_box_area\":709,\"image_base64\":\"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\",\"scaled_width\":17.91,\"scaled_height\":19.51,\"exact_perimeter\":117.61,\"approximate_perimeter\":115.31,\"convex_hull_perimeter\":72.11,\"perimeter_pixels\":440.04,\"approximation_points\":12,\"original_contour_points\":38,\"shape_analysis\":{\"perimeter_to_area_ratio\":0.4951,\"compactness\":0.2158,\"aspect_ratio\":1.09}},{\"index\":4,\"position\":{\"x\":0,\"y\":40,\"width\":72,\"height\":77},\"actual_filled_area\":199.71,\"bounding_box_area\":395,\"image_base64\":\"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\"}}"},"timestamp":"2026-01-29 06:43:23"} 
[2026-01-29 06:43:23] local.INFO: Detected Objects from Image-to-Text API 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","scaled_width":24.32,"scaled_height":20.31,"exact_perimeter":112.12,"approximate_perimeter":104.14,"convex_hull_perimeter":78.47,"perimeter_pixels":419.52,"approximation_points":12,"original_contour_points":109,"shape_analysis":{"perimeter_to_area_ratio":0.3437,"compactness":0.3261,"aspect_ratio":1.2}},{"index":1,"position":{"x":219,"y":42,"width":136,"height":73},"actual_filled_area":343.18,"bounding_box_area":709,"image_base64":"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","scaled_width":17.91,"scaled_height":19.51,"exact_perimeter":117.61,"approximate_perimeter":115.31,"convex_hull_perimeter":72.11,"perimeter_pixels":440.04,"approximation_points":12,"original_contour_points":38,"shape_analysis":{"perimeter_to_area_ratio":0.4951,"compactness":0.2158,"aspect_ratio":1.09}},{"index":4,"position":{"x":0,"y":40,"width":72,"height":77},"actual_filled_area":199.71,"bounding_box_area":395,"image_base64":"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06:43:23"} 
[2026-01-29 06:43:23] local.INFO: Nested area calculated {"data":{"nestedArea":2514.6063},"timestamp":"2026-01-29 06:43:23"} 
[2026-01-29 06:43:23] local.INFO: Mapped objects from Image-to-Text API 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"},{"id":"48c7a78d-0960-49ba-9936-885e9a89b512","height":19.51,"width":36.35,"perimeter":136.67,"area":343.18,"image":"iVBORw0KGgoAAAANSUhEUgAAAIgAAABJCAYAAADmDm5DAAAgAElEQVR4AezBC7imV1Xg+f9aa+/3/U5V0ogPiuiocA59EFq5iQIDjQ4oghdoBVpDbhARJEAAFRV6tMWBhoRwcaQq0oBCJeQGAREmFwigoqBSSRClKgjKgOKln1HRVJ3zve/ea62pDz5aHh9tuSRAJfx+wiclnzvhy/4lyY1D+CISIP/s0GX89tW/g5iRkYgI7p0Vs4Kp4JGYGRHByoMf9iS+5utvz5rwZZ+S5+//adydYoXmDUX4BBHcHSsGkYgIEYG7gwjFjE/5zu97HN+4eWfWhC8SAfLQwX1cdtHb6L0jokQ6K+Mw4u54OCJCrRUSWmuc9pQXsLm1zZrwZSv5W1e+it96yxtxdxAwNVSVeZ5RVUQUM6W1BgndO4vFgt47ZNLcMVXu9B/uwSk//n+xJnyRCJCHrtnHZa95GxGBqJCZRATjMNJ6AxFUhJVpmlg54+kvZnNrmzXhy1byhf/nSRzdWdLajIhSSsE9MBMiElVFRAl31JTWZkop1DowTROZyTgumNvEE572Am73jdusCV8EAuTha/dz8auvREUIEhJUFREhSUiY50YpRkYiKpx+1rlsbm2zJnxZ/s7bX8fVv3E+pRjzNGOlkhmoGmZK9w4J3R0zhQRVZSUzCQ+sFoggMrnrPf8jP3TaT7EmfBEIkIfes4+LL7gSElQVEESg946qUkuluxPpFC2oCY9+4vPZ3NpmTfiyfPEvnMrf/e3fo6KICiKCu0OCqCACEUlEoKYUK/TeqXXAvSMiZAYRgRWjloFnnfNa1oQvAgHy8DX7ueyiq2mtYVbITDycFVNDRDAz5tborTGMA6c+6Rw2t7ZZE27Z8prfewe/cdGLERGKFXrveASqgrsjKpBQayUTRCAz6b2jqpRScA8yg4ikVKOoca9v/26+5z//OGvCF5gAeejgPi694C2oKh6OiBLeEVFUlcxksRiJSHZ2dhARHvu0F7G5tc2acMuW5z3/ifzlx/4CSBKI7pShQiQejhWjWCUzyEwyE4RjhMykqCEqeDgkWClkBqVUnnX2pawJX2AC5Pvf81IuPf8qSi0slxPFDETJDEQEEcG7o6aICpJw6lNewObWNmvCLVcevubdXHzgvyGiCIKHIyKUYoQHzTsqSmSgIgiCqLKSmfTeKVZJEjOl9cY4jPTuiCQP+b5Hcp/vPo014QtIgDx83Xlc/GtXYMWYphlIEChWAEFEcO+ICBGBmXL6WS9kc2ubNeGWK1/90p/hg9e/H0hUlYigDpXwIDMRBCuGu2NmtNaopZICGUEplcykeycjqHWgt0YQqCq3utVX8BPPPsCa8AUkQF5/3XlcduHbcHd674gI4zgyzzOIAImKMs8zqkJEcsbTXszmHbdZE26Z8i8+cg2/+n8/l9ZmihUyE1OjtRkRRUTwcMwMECIcEWEYKstpwtQwM/5JIiLMc8OKEREowo889jTudLdHsCZ8gQiQ73/PS7nk/KsQETICKwURpfdGJscktVbaPFOHSgac+pRz2NzaZk24ZcqLXvEL/NkH/hh3JzNoc6OOI+EOAiJCmxsbGxuEBx4dEFZqrbg7EQ4iDKXi7vToFCuoKZng3rntbW/HE3/2ZawJXyAC5KGD+7j4wJVEOGaFDEgCd6fWSu+dUiqZQbgjpjz2qS9ic2ubNeGWJ//mr67nZec+i3maqaUQEYiARyAIVhQQeu9kJnWotDazGDdobUbVWJnniWEYSJJqle6doQ703lBVMpOVH/nRJ3DHuzyENeELQIA8dHAfFx+4kkxQFcjEM1ERSim4O2qKqZGZrJx85vPZ3NpmTbjlyTcdOJtrrn0XmUl6UEpBVZn6DAm1VjKTUgqtN7w5ApSh4r2DCKUYrTcIQEFFUVW6d4oo47igzTOZyR2378BJZ76ENeELQIC8/trzuPBVl5OZRASlGO5BKRV3JzPJdEoplFLo3Tn9rHPZ3NpmTbjlyec845G0aWJuDSsFM4NMRITMJDNZLEamaeaTkmEY6L3j7qgqJMckZoUIx2ohI8lMsjt1qBCJmhHhPPoJz+L229/GmnATEyAPX7OPiw9chaqyslwuMTVKMUSFiCQjERPIJBMe89QXsrm1zZpwy5LvvPKXufqKt6CqRAQiQkSSmQzDwDAM3HDDDZgZpRa8NbQYZkabGxGBiLAxLIh0CEiSaZowM4ZhQJRjEnfHSsF75653uws/cNrzWBNuYgLkoYP7uPSCtzDPMxsbG7g7mYmokJGQoKZAUkrl6NEdHveTL2Fza5s14ZYlz3nWSUzTkgTCg1IK7g4IpRi9N1ZEhMzEw7ntbW/Libe+Hd6Dlb78B/76L/8CSfAIMhMzYxxHWmuYGaJJRKCqRARWCic94bl8/e23OUa4iQmQh6/dzyUHrqL1hoqxWIxEBL13Sim4O4vFyDTNCMeIcsqTns/m1jZrwi1HXvs7r+TyX78cdycyGOqAdyfSERUERQREhd46GckwDpz8uKdy+zs9gE937rNOYp6WZEJmMAwDVgzvHY9EBARQEyISEeFb7/2tPOgHn8macBMSIA+9Zx8XHbgSVcF7BxWKFSISVWFFEDwcVcGscPKZz2dza5s14ZYjf+nZp/H3H/8HyKS1Ri0VBNyDYai01iilYGaoKhHB7b72aznj6b/MP/fmS87mvb//uyw2Fuzu7jIOI7039uzZy+7uLqpKRFBKARIVITP5qee9jjXhJiRAHj64nwsPXI5ZIbqzEhmM48g8zYgqmYmqEB6oGaef9QI2t7ZZE24Z8trffwO//ppfZSUzEBFWhmEgIshMIoJSCqKCqTHPM484+Sl8872+i3/uLz78Xl790v9KKZXMIDMREbp3hlqppRAZpAfDONDmhrtz7/s9hO94+BNYE24iAuTha/fz2gveiruzWCxoreHugBDhlFLIDDIhIsgMznj6S9jc2mZNuGXI8573GP7u744Q4bg7ZsZyuWRcjKyEB9WMOozM84Sp8RW3vjVPfNbL+ddc9spn8uEP/SlWjOVyl2EY6K0xjgO9d0opCIIquDuRUIpx1rMvZk24iQiQh67ZxyUHrkIQzAxI6jAwzzOmhocjIrTeMVFEhFOefDabW9usCTd/+d6D7+CyAy/EVKmlMs8zi40F3TsEWDHmeeaEjQ2maQZJVJQHPvR07v2gh/Ovuf59v82bLn4pkon3xjBUVBX3IDOJDBaLkQgnMxmGAffOve7/cO77XY9mTbgJCJCHDu7joldfgZkREayYKt2dWiorrc1EJB6djT17OPVJ57C5tc2acPOXF+7/ST7y0Y8yTzOLxYJpmnB3NjY2iAhamymlgidqgimIGs943qX8Wy586VP42J9/jForZsowDBw5cpRaC2rCiqqyYmaYCouNBac89WWsCTcBAfLwtedx0asuJ0mIREwRhO6dlWEYyEgigloLgvLoM5/H5tY2a8LNW37w+oO89lefTy2VyGCeJiITEaGUgiZkBGpGhGPFEIH7P+j/4L7fdSb/lve8802884rzgcSjs2fPBt47VgreO6UUVASVxCPJCE444QS++X6P4p73fQhrwo1MgDx0cB+vu/BqMgOPwNQopRCZzNMStUIthd4aYkp4cPpZ57K5tc2acPOWl/7qf+X6911HsYKZkZnMrTHUSu+dcRyJCNwDJBhqAYSfet6lfKZe/rzTOXL0KIpgqiz2bLC7XGJm1GKkO5mJiLCiopxwq1vxI09+KWvCjUyAPPSefVx8/pWICuMwsrO7iwgIgqrSvVNLBZJ5biTJ437il9jc2mZNuBn7q794f75m/3Nwd3qbqXUgExJHAM/ARFFT3J3eOxsbG3zL3e/Jgx/1M3ym3vPbr+Ha372K6A1FSIHuzlAKIkCCFkMRSIhwIoL7f98Z3Pke38WacCMSIA9ds4+LXn0FpsYwDIgIvXdW5nlGRFiptWKqtN459cnnsLm1zZpw85VvvOBcrv/D3yMRhETNQJJ5mrBijOOIhyMIvTcyBVXh0Wf+Iv/bN9yFz8Yrn/cYIjttalgxFosF8zSBQikFFUVUUAR3Z1yM7P13t+EHHvNc1oQbkQB56OA+Xnfh1YgI0zwz1IqoEB6oCKgQ7rg7pRREhJPPPJvNrW3WhJuvfO4zfpBqhiBYMVbmuTHUytwmQCilEBmIAJl8w+2/mR9+wrP5bP3BVfv508N/yJGjR4HEzBjGAUHIDEgQhWKF5XLJno0NIuEBP3Ayt7vDf2RNuJEIkIcO7uOSA1eBJO7Bp5gZqkpGYmZEBuFOAo8564Vs3nGbNeHmKa9+03kcfOfVRDgrmUmthdY6w1AREUQgIlA1yKT1zg//2NO5w79/AJ+tv/mrP+PyA7+IiBDhlFLIDIZhIDNQFablxGKxwD3xPmO18pVffUce8uifZU24kQiQhw7u48JXX061QqkVd8fdUVHmNmNW6N7YGDdIknmeOePpL2Zza5s14eYpX/RfTiIz6N5ZSaCYAUkxo/dGRCICwzDQe+M2X3VbTn/6fj5Xv/umc3j/e9/LMFbIZBxHWm8UNawoEYlqYbncRRSGWlE1HvjIx3Ob230rxwg3EgHy8LX7ufjVVyBqFDVab2QGKoaqMk0Tdah8gkBE8JizXsjm1jZrws1PvvOKV/Du37wCVSUyyARRQRKSoJZCeDCOI63NiCq1Gg/8gZO58z2+j8/VRz/4Pt7xhhdhRVBREhABFWEcB5bLiXlu1DpQi5ESCMLXb92Z+zz06awJNwIB8tDBfVx20dvIDNwDNUNFaK1hZqgq3TuCoKqQcMqTz2Zza5s14eYnf+kXTqHPjbnNlKKoGBFBklQzVIV/kogKt7rViZz+E6/g83XF+c/i43/7P/BwTBVU6W1GVVksRlpzxmFgOS0xU4oVIoJHPullrAk3AgHy8DX7ufjAlXTvqCgqipqiqmQEIHg4IJgpIsrJZz6Pza1t1oSbl3zfuy/kyje+nloLmUnvDVVBxBABb84JJ2wQGdRaaK2z8q33+17u86BT+Hx96PBv8p63nI+ZEhFkJiICCWKCScFM8d4JD2qtqCl3uNM3cdfvfAprwudJgDx8cD8XHbgCMyMiMVPmeWal1IKZ0VtnHEfcnczklCedzebWNmvCzUu+7Owz+fu//UvMlKKFFVFBVRARaq14b3TvJFBL5cQT9nLaT7ycG8vlr34Gy50jRAatNUgYh4HuHVVhz5697BzdwcwQEUQhAn7wx/ezJnyeBMjD1+zjdRe+jdYaqkqEo2IM40D3jndHVSmlkJnMrfGYs85lc2ubNeHmIz/0x2/kyte/lnmaEIRSjd4bK2aGAAlUM4opuzu7bOzZYOub78cDH/5EbiwfuO6N/NG7LicyiAhUlRU1RSJx79Q6EJFkJpGBIHzzt92bO9/ncawJnwcB8tC1+7jsgqtJ/om7MwwD7s6nm+YZAc54+ovZ3NpmTbj5yFe/6Ml8/ON/S5tnNjZGundWIgJVZaWYMg4DvTU+5RGP/6981dd8Ezem17/sSfR5JjLITNydxWJBdEcEMvmfIoKVjY0FD3/CftaEz4MAefja/Vz0qisQESABQVVZiUxMlWmaKMUQEUSUU598Dptb26wJNw/5wT96J79+wYtRE4ZxYEVFmOeZxcYG3mckElFhqAOZiRXl9tubPPAHf4Eb2/vf/UoOX/P7RARWjN46pVZUhOVyiZlRayUzWS6XlFIopXD3+z6EzXv8J9aEz5EAeejgPi694C1kJGoKCJC01ijFKKUiCHObEFHMjJPPfD6bW9usCTcP+f+c/0w+/GcfYZ4naq2YKhkJAmRSiuG9IyqoKFaMxThy/4f9OLe/4724KVy27wlEBKqKiDDPM0lS60BEIAJzm9mzsQcrhRuO3MCJJ5zIwx73y6wJnyMB8vA1+7nsorcxzxNWKhFBRiAiqCoCiCoRwTxP1Dpw2lNewObWNmvC8S//3w+9jysuOhsRPkEQIhwRYTGOhAcpibszDAMCqAq3/srb8P2PPYebynvf/st8+E8OIwLLaaKYMbdGrRUzIyIRSVSMJJnniWEc2bzHI7n7tz+INeFzIEAees8+LrngKkop9N4RUSIcEUFEEIFilZRk2p1A4LFPexGbW9usCce/fPtlv8gHD30AEVBVeu+Mw4BnoKK01ijFKLWiqhCJAPf9nkez9S0P4qbyt39ziLdf9hL63FFTMiEzEBFUlcxkGAZ2dnYRgXEcWe4u+cqvug0PPfVc1oTPgQB56OA+Lj5wJcNQ2dnZpZQCIgifpCr0HqgKqsrKqU8+h82tbdaE49zH/vzP8jde9XNkOOGdjT17CXdUlXEcmaaJJDAzIgITRYRPuNs9785wgpDJMclKLZXMICJIElEhumOlEJmYKpkck0BCQGSykpmUUohw1Axv8P7r/oh5bqgKmcowVKZpyVAru8slVoxhGNk5epRaK6rGxmKDu9z/Ufz7uzyANeGzJEAevvY8LjlwBSB0dzICVUVFUFMyoHtHzQh3RITHPu1FbG5tsyYc3/JdV/4Sh667hkwnMxlqRc3Y3d1lHEdaawxDpZTCNE0UKxQVVkqtTNNEhFNrxd0ZxpHwICIInFoKZgYJy3nJOIxkJh7Bno0NWmu01iBh3Fhw9OhRiii1VnrvWC1EBGbGPDeKVZbLJWqKIJgZmUlmgCi9NcZx5FZf+VU89NT/xprwWRIgD1+3n9df+Hbcg94aqsI4LpjaBAmqgqlxdPcotQxEBI992ovY3NpmTTi+5a89/zEkgYogCGqKiLC7u4upMS5G5nlmHEdam4BERNnY2KC1RqRTakGAxcaCG/7xBlQVUyUyEFFWIgJEGGqltYaqgQCZqCoZiZoyTRPjMDLPMyulFlrrkIKoMC1nhlqJTDKDYRhYLieGYaD1Tm+dcRxZLicefNLT+IbNe7EmfBYEyEMHX8qFr7oCVUUQRAURofWOihAR1Frp3ilWWDn1yeewubXNmnD8yt+98gCHr3sLIsJQBswUd8eKMU8zmYGqYKXS5oaQ1FqZ2syejQ2SREXp7oQ746KiIngECKQnZaiEOx5BRoLAno0Fy2mit46oYqqICN6dMlTSExGhtY6K0npjpQ6VaTkzLgaWuzOqCgKSQkRgZiAwzRNWC1/3jf+BB//nn2ZN+CwIkIcO7uPiA1fh0amlkpmQ0L1TayEiMTNW3B0R5fSzXsDm1jZrwvErL3jJj9GmCUXp0ShlYG4z4zCQHiCJqrDYWCAizPNEHQa8dVYiA1Oju1NrpbUZVaPWyrRcsiKqjOPADf94AyeeeCLL5RItBRPl6NEdhmEgSWqpRARmyjw3aq3M80xmAoqq4r2jpmxsLFguZzITNWVnZxcPZ7FYsNJaB5JxWPDgk87ia77ubhwjfBYEyEMH93HJ+VcRkayYKZmBmQGChyMIZoYIZMLJZz6fza1t1oTjU/7Bb7+JP37Xa+m9UWpFEuY2o6KUUhiGgoiwIioIUIeBeZppvVFLxcyY5xk1pZbK0SNH0KIsNkZIsGIsd3fp3VExzCq9zwhKHSvzNKOqeHdKLWQmILTeqHXAu5OZqBmtNz4hkkjHrFKKIWocOXIEEaGYQUIKtLlRa2XzzvfgQT/0k6wJnyEB8vC1+7noVVcgIkQEIkKEU2uluyMpuDt1qJgqSXLKk85hc2ubNeH4lBf98hM5esM/YlbITERARHAPiGCxMRIRlFLITEopZCaZyTzPZCaLxQKPQIDMJNzxCEo1Njb2sLu7C5m4O4txQfNObx0VQc1orTHUkWmeqLXi3bFiLKcJKxX3Tq2VeZ7JhAinlEKfO2pGrZV5nvFwilUig+4dMkkRTAqqyo//3AWsCZ8hAfLQwX289jVvRVXpvZMZZIKKICqICCSICRmJqHDKmeewubXNmnD8yUPXXM4fXH0Jqoqq0ntHVFjJDNo8s3fvHua5s2djQesdM6OUynK5SymGe9DdWYwjK603SBARBBAzMhPvgZnSWqMUo80dBOo40FtD1Ah35nkmIzEraDGsGLs7RylloLWOmdKmmY29e2it471jZkRCkkQkiJAZqBruQURAwj3v95084KFnsiZ8BgTIQwf3ccn5V7GSmUCSCcNQiUzCHTNDVUmS3jqnn3Uum1t3Yk04/uSvv+Kn+fv/76+ptaKi7OzuYKYMtTB7RxEWiwWCMLeZiCA8KbUwTROLcYNIR0TIBFUlwlkuJxbjSGRQa6X3jkdQS0VEiAzcnXmeWWxs0HuntcZiMdJboKospyW1FFa8OxGJFSMzcXesVJbzElKwUmhzJ0kWiwW9N9rcsFIID3Z2l5xwwgmYKU/5hQtZEz4DAuSha/dx8auuYBgGzAzvTu8dFNwdFSUyWIwLMhN359Qnv4DNrW3WhONLfvj6t/LON11IRjJujCx3l5BgRai14hGQIAKiQkYiKNM8s1iMZCRajHma6b1TSmHF3UmSxbBgnmfUlHGsTPOEoLgnSDK3RkRAJnUY6b1TihEeWK0c3dllKIZHMA4j8zSRKozDwDQ3MoXlchc1w8TIhMxEVZnnhppgangkbZ6xWslMHvDg7+bbv/PHWBP+DQLk4Wv3c+n5V5GZDMOAuxMRqCiiQmsNM0MQRAQP59Qnv4DNrW3WhONLvunVP8/f/c1HUVVqqSynJbVWSlEigk/xcLwHiaCSRCSlGKoKKO6OiNB7x1RRM1SVjGR3ucswDKCCuyMI0zRRagWEcAdJah1oc0NEyExEld1pQkUQNTKDTFBVIpLwznLZqLUioogkIIgoK0d3jiIiDMNA94CEyKBYodSBpz77fNaEf4MAeejafVz2mquJDDKSYoao0lun1oKq4q2jqogIqsqjHv8c7rC1zZpw/Mi//si7eOvrXgkkZkZ4EBmQUKvh7pBJAqLCNDfMCkOpzPNMeGDViAjGYaB3J9IRFVp3bn2rW/OPN/wDGdDdOWHvXlrv7Bw9Sq0DAmQmIEQGQx3YWe6iKnQPRI3WGqUUMhJRJSPoPchMhmEgE0Sg905EoGq4ByLC3GasGK05ZDKMA4gw7S7RYnz/Ix7Ft9z7JNaE/wUB8vrrzuOSA1eSmYgIkkmxgqqSCSpCkpCJqCCiPOrxz+EOW9usCcePfPtlz+ZjH/4IEcE4jhw5coTFuECLQkLrDe+doY4kgVlhOS2JDMwqotDmxgknnMC0nDBTpnmmWCFJCGi9o6qIQEQgoogIvXcyk8xkJUVZLpeMiwUIZARmhVIKuztLIpKIAJLMxKzQWketkCQiQveOqWGqTPNMAr03hjrwSYKIQcI0Tdzmq27DE//LK1gT/hcEyMPX7Oe1r3kLIoKIoAh9bqgpZoaa4NFZDAsig5VH/OhzuMPWNmvCceJ//OX7822XvoTWOu5OqYX0xMMZx5HeO+5OKYXltKTWStHCYs+Cb/ue0/AQMkFUyEgyExFhRVWISD5FBMITESEFSGBOZBQyQBRySjITOkgRUCCAKtATioAkOQEOKBCAgO1N3v7GX+Xv/+7jZAYrmYJ7BxJTQ8RYLicWiwURnRQhge97xI9xt3t/D2vCv0KAPHztfl5/0dvw7qgpRGBqjONIb52IjhbFzGjuRO+c9MRzuMPWNmvC8SF///IXcv0f/xGC4OFYMTKSxWLB7u4umUmQLBYLlrtLVIWVO3/bA7nPAx/Dl5prfvf1vPUNryFJVJXuAekgigAiSmudUgxEaL0TGXzd1341j/+ZV7Im/CsEyOuvPY83XPQ2RDhGIJPwoAwVIclMIh0zZW4dAU564jncYWubNeFLX3LMa178eJa7O4yLBd078zxTS0FEaL3jHoAw1MI0TdRaQZTHPfMAX6rO+ZkfZpqWRDiqhhTjExK6d1ZEBUGICESEjOQHT/9Z7nbP/5014V8gQH7guvN47YGrEBEgURWsGJlJRlCHyjTNqCrDUBA1HnHGs/mG229zPLn27S/hmncfxExRFRDIhMggIxCUeW6IKr03NhYb9N75prvdle942M/yaYQvDckxv/Pml/OOq9+MCIgqQaJmpCfdO8UKasrKPM+oGuHON25u8dinvpg14V8gQH7guvN448XvwMOptQJJZtBao9ZCqZWhVnaO7pAkw1C5+33uzVfeai90QBNdKP43jn61IipIQESACZmJiCACIoLf4OheRQRooIPgEdRa6N0RhFKM3p1SDRK6dzLBTHEPVAURQUQQUbx3EEFVyEgQEBHCgyRpc+Hgb/4WHh0TBRVEIDPJSCKDiKTWinvQWsNMSYTvP+WZfP0dvoU14UtLcsyzn/5whmFARDh69Ci1Vrp3hjpQSiUz2NnZZRgGIgJ3h4TTn/yLbN3pHqwJ/4wA+YHr9vPm1/0WbW6gggARgZlhZiRJLYYgHDl6hKFUrBS8d8yMzAQSEMwMNSATMYVMEKHNjVIUAcyM6M6KFSMT1AQCeu+oGrUUrBilGEeOHKHUinun1kpEsLIYRxKhmHHDkRvY2NhgnifGccE8z5CCmdK60+aZE084kZ3dXXqfGRcLwoNSCnObAaG1zmIcQSAzab1zm6/5Bn74CeewJnxpyivfcDbXvOsP6L0jCFYK07REzRCg984wjJgZ3jseTimFO93l7jzqjJ9nTfhnBMjrr93HGy66mmEYaG1GtQDJioigIkBiRemtQ/I/jeOAmTG3iVIK0zShqogI42KEDESE5XLJnj17iN4hITPIhGEc2dndwcwwUUSEiGAYB0jISERARFAzeu9UM6Z5ZlyMqAnL5UStA+5Om2fGcaT1xsbGHqblRO+dWiutN8wKy2nJYrHBPE8gQm+dYoaq4RF4BMMw0HvnYaf8KN94x+9mTfjSlB/76Pt5+QufRe+dYRzovVFKpfcOJLVWeuuoGghkJmaFzORxZz2Xr739nVkTPo0A+Sfv/RVef+FbGMeR3d1dVkwVKwVIVAQyWFE1VjKTUgp1MCKCaZqoteLuqAiIICKogplBBIJgZkQmZOLuCFBqxb0DgpkRmYQ7ZkrrzlArEYGI0FpHTXHvqJUR0moAAAf9SURBVCqqwkqtA711RIXWGoIQmbTWWIwLaq1M0xJEUFMik2maIIVhHIkIIoLeO2RSauWEE/8dZ/zUy/k0wpem5JjX/dpPc90172eoBVPDirGzs0sthciABCJZSUBMWbnrvb6DHzrlJ1gTPo0A+aH3/XfeeMnVRDiCkBGoKkliWsgM3J1SC96dzKQOhaEWRJV5nlkxM0QERJBMJEElmVpj754NMmGeZ8yMYoXWG58kmAmIInzSPM1YMVZEhBUPZxxGpuVE98ZiscCskJlkBpEQEUytUUtBTRFRencykzbPWCnUWpnnGTOjtU4tA713MpOViMDM+I6H/DD3uP8PsSZ8acs/OfRuLnzF2UgmvXfMCr13VBREgCRJMpI6DJCJh7MYFjzrBa9lTfg0AuSfvPdlvPl1b0cF2tyotTKOI9M04e6UUqm1sLOzw8aeBe5ORADJigiUUlA1IoKVUgp9mhEBVSETzJQkUTEEKLUAyTTNrGQmEYFZARJVxd1RVeY2IwilFJp3VA0iqLXiGbTuZCTjODL3jjen1AqZZELvjWEY2NnZoY6VcGeoCyIcRGi9YWokQiaM48CTfu4An0b40pYc84oXPpGPfuTPWbFSmaeJWisiIKLM84yIkJnUWokMwoP7PuB7+d5HncmasCZA/sl7z+MNF70FRVBVVBURobVGrQO9d2otuAeqoCYMw0BrDU1QE8KdQGi9MwwDpVaid8hgY7Fgnhu9d0opqAq9d1QVRMgIWm8sxpFMyAhQISNRU4oVeu8sl0syk2EYSYJMITKow8g0LRGEyKTWys7RJWaGu1NrpdaBTGe5nBBVVMAjyEgSEFVIEBVUjXvd/4E84CGPZ004PuR1v3cVb7x4PwJ4BGYFUfDmeDgrqgoitDYzDgOiiqrxc+dexpqwJkB+8L2/wm9cejXenVIqEUFmAsG4GMlMaimshDtmRq2VeZ7JcDIcK4XWO4giAmoGEUQ4G4sF7klmkCQZiZmRCfM04ZlYUUAYx5FpucRKZSUzce+oGqUY0zRjZkQEqsZymhERSimQiZnhHmQmIoK74+GM4wI1RUU4srMDKagKrTeGMjK3hpB4BMM48tPPey2fRjg+JMe86OdP5R/+4eN4JJKgJoDgHgzjQEYgIrTWMRMywb3z0O9/JPd7yBmsCccIkB9876/wpkvfhnuQmQzDQERQq7Hi7ogIIJSiCNBao9RCRtC9U0tlnidqLYgIHoGVQmbSe4cEM6PWQmtOKYa7IwhTm/mKr/gKlstdIpJ5nskEs4KVQu+NoVbcHRWj9073zlAHeg9WpmmJmSGi1FpQU5bLiTpUWusgQkYgCK03MhJUKWYIMLWGqSKi3OWu9+A/nfbzrAnHl/y9qy/iN15/gMiglopHUNRAQESAJBFUlHmeUFFKLew94USe8ZwLWBOOESD/9H3/nTde/FZKKfTuuHdEYBwXzPOMqtLazDAsKFWBJCJQETyC3p2hVkQFMkmSiEBVMTMiAkGYW2MYBoZa2V0u6b1TakVFiAgiAlVFRGitIShmitVK9I6o0FtSq7FcTogIVozWGu5BKZV5nqilEiQrrTWGOjBNM6UW3J1xHNndnSimZEImxyQgWCn8yBN+jttv3ZU14fiSHPPcZzySeZ75FBEhk2MSj0CAOgx477TeGUohSR756NP4lns/ijURIP/0D1/Gm1/3DuZ5ZrHYoLUJBESMUgz3TimFTGEcCjccuYGNjQ3cHREhA9yTWpXIYEVEcHeKGa13ah2ICLx3REDN6K0zjCMgLJdLTI3unRP27mV3d4l7JxM2NjaY5xmPICPJDBaLBd2dOlTcnXnuiAgry+XEOA6IKm2eKcWY50atA9O0ZO/eE5jnmcxgqCPL5ZJSKhHB9p23eNSPncuacHzKd7xhH+961ztYLidUBAS8O2hSy0DvDVIotTDPDTNFRLjt19yOM5/5MtZEgPzQH76MN116NfPcGMeRxWLAw8lMMpIk2bOxh2meMVOWyyV79+7lyA1HQDhGKVbIDLp3SqkIMM0TtVRKLXhPVME96b2RmQzDwDCM7OwcJTIQBBFBVRFR3BsBZCaZSXigqmQGG3v2Ms8Nj0AAd4eExWLB7nIH9wAEVSXCGeqIICDC3BoCiCor3jtmhcjkYSf/JHf91vuxJhyf8v9vD+5RqwqjKAy/a++TE4MDECIqBO2s7CxtLSytrESxlUwgkxB0BDaW2juCQMROCQQkWFiL9/x8e3nPVTCFnTYRn4e1g6f32MoOA+M4IYEQ4zTSb23RqsiuIxVM0wgSmcmDR0+4fvMuaxLgj0fPefPqLbaRhCQigtYafd8zDAPb2z3zPGND3/fM80RrhSSkQILWGpLIDForpECCrusYx4HWTGYgCdtECBtWw0BmEJlkBhjm1kAwjTMGUsnOzgVWw4AkxmGg63tW31ZkJgIyOzKTRWsNW3QZlI0kWhUhMc4TrRUKERm4GYXY3d3l4f4zzhDnl1+/PODo8D1VRatiK5O5Nbquo6qwzTRPdNGhEFWFq7i6d4XH+y9YCPCX00NOjj+xMCCBJGwjhAQ2KMSGoaqIEGWDQRILY4RY2GZDQvxSNgsBBiQwIiRsY7NmbCMEYsM2i4gAm7KxjYGMpGwCMCAJ2yyEaC7ApIKyMQuzYUDi0uVr7N24xU/ifPPn02NOPrxDEmbNRhFgMMb1FcVFsEFiYc8Ic/vOfRYCzH+/I8438xeIH8x/Z4l/g/kz+g5IJPyCCmhZ0wAAAABJRU5ErkJggg=="},{"id":"2f00eb3e-64ab-417b-8632-dfd21d9639f6","height":19.51,"width":16.57,"perimeter":70.5,"area":126.5,"image":"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"},{"id":"f9312cd6-7ce5-409b-a5dc-7915aa2a4f12","height":19.51,"width":17.91,"perimeter":117.61,"area":237.53,"image":"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"},{"id":"90ac72a5-a687-4887-a494-425d11f1d2ff","height":20.58,"width":19.24,"perimeter":102.9,"area":199.71,"image":"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"},{"id":"11a2d7df-015f-4d63-82e7-163b2da3f865","height":9.09,"width":8.82,"perimeter":54.73,"area":56.86,"image":"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"},{"id":"ec151c1b-48e6-4f6c-a863-8add7838faef","height":9.09,"width":8.82,"perimeter":45.11,"area":48.21,"image":"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"},{"id":"b23b0cf0-f92d-4e03-a98a-d51b7c06256b","height":8.82,"width":9.35,"perimeter":34.4,"area":37.32,"image":"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"}]},"timestamp":"2026-01-29 06:43:23"} 
[2026-01-29 06:43:23] local.INFO: Number of letters detected {"data":{"noOfLetters":8},"timestamp":"2026-01-29 06:43:23"} 
[2026-01-29 06:43:23] local.INFO: Perimeter calculated {"data":{"exactPerimeterSum":674.04,"perimeter_in_feet":56.17},"timestamp":"2026-01-29 06:43:23"} 
[2026-01-29 06:43:23] local.INFO: Actual filled area sum calculated {"data":{"actualFilledAreas":[326.25,343.18,126.5,237.53,199.71,56.86,48.21,37.32],"actualFilledAreaSum":1375.56},"timestamp":"2026-01-29 06:43:23"} 
[2026-01-29 06:43:23] local.INFO: Occupied area calculated {"data":{"conversionFactor":0.00694444,"occupiedArea":9.55},"timestamp":"2026-01-29 06:43:23"} 
[2026-01-29 06:43:23] local.INFO: Average character height calculated {"data":{"avgCharHeight":15.802500000000002},"timestamp":"2026-01-29 06:43:23"} 
[2026-01-29 06:43:23] local.INFO: Original image dimensions and ratio {"data":{"originalWidth":452,"originalHeight":122,"ratio":3.7049180327868854},"timestamp":"2026-01-29 06:43:23"} 
[2026-01-29 06:43:23] local.INFO: Calculated sign dimensions {"data":{"widthOfSign":"120","otherDimensionOfSign":32.39},"timestamp":"2026-01-29 06:43:23"} 
[2026-01-29 06:43:23] local.INFO: Image to Text processing completed 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","scaled_width":24.32,"scaled_height":20.31,"exact_perimeter":112.12,"approximate_perimeter":104.14,"convex_hull_perimeter":78.47,"perimeter_pixels":419.52,"approximation_points":12,"original_contour_points":109,"shape_analysis":{"perimeter_to_area_ratio":0.3437,"compactness":0.3261,"aspect_ratio":1.2}},{"index":1,"position":{"x":219,"y":42,"width":136,"height":73},"actual_filled_area":343.18,"bounding_box_area":709,"image_base64":"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","scaled_width":16.57,"scaled_height":19.51,"exact_perimeter":70.5,"approximate_perimeter":68.96,"convex_hull_perimeter":62.03,"perimeter_pixels":263.8,"approximation_points":6,"original_contour_points":29,"shape_analysis":{"perimeter_to_area_ratio":0.5573,"compactness":0.3198,"aspect_ratio":1.18}},{"index":3,"position":{"x":79,"y":42,"width":67,"height":73},"actual_filled_area":237.53,"bounding_box_area":349,"image_base64":"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","scaled_width":17.91,"scaled_height":19.51,"exact_perimeter":117.61,"approximate_perimeter":115.31,"convex_hull_perimeter":72.11,"perimeter_pixels":440.04,"approximation_points":12,"original_contour_points":38,"shape_analysis":{"perimeter_to_area_ratio":0.4951,"compactness":0.2158,"aspect_ratio":1.09}},{"index":4,"position":{"x":0,"y":40,"width":72,"height":77},"actual_filled_area":199.71,"bounding_box_area":395,"image_base64":"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"},{"id":"48c7a78d-0960-49ba-9936-885e9a89b512","height":19.51,"width":36.35,"perimeter":136.67,"area":343.18,"image":"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"},{"id":"2f00eb3e-64ab-417b-8632-dfd21d9639f6","height":19.51,"width":16.57,"perimeter":70.5,"area":126.5,"image":"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"},{"id":"f9312cd6-7ce5-409b-a5dc-7915aa2a4f12","height":19.51,"width":17.91,"perimeter":117.61,"area":237.53,"image":"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"},{"id":"11a2d7df-015f-4d63-82e7-163b2da3f865","height":9.09,"width":8.82,"perimeter":54.73,"area":56.86,"image":"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"},{"id":"ec151c1b-48e6-4f6c-a863-8add7838faef","height":9.09,"width":8.82,"perimeter":45.11,"area":48.21,"image":"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"},{"id":"b23b0cf0-f92d-4e03-a98a-d51b7c06256b","height":8.82,"width":9.35,"perimeter":34.4,"area":37.32,"image":"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"}],"no_of_letters":8,"perimeter_of_sign":56.17,"nested_area":17.46,"occupied_area":9.55,"avg_char_height":15.802500000000002,"widthOfSign":"120","otherDimensionOfSign":32.39,"width_of_smaller_line":20},"timestamp":"2026-01-29 06:43:23"} 
[2026-01-29 06:43:27] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_depth":"3","sign_type":"Fabricated Push Through - Single Sided","mounting_type":"Flush/Stud 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\",\"boxArea\":\"493.94\"},{\"id\":\"48c7a78d-0960-49ba-9936-885e9a89b512\",\"width\":36.35,\"perimeter\":136.67,\"height\":19.51,\"area\":343.18,\"image\":\"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\",\"boxArea\":\"80.17\"},{\"id\":\"ec151c1b-48e6-4f6c-a863-8add7838faef\",\"width\":8.82,\"perimeter\":45.11,\"height\":9.09,\"area\":48.21,\"image\":\"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\",\"boxArea\":\"80.17\"},{\"id\":\"b23b0cf0-f92d-4e03-a98a-d51b7c06256b\",\"width\":9.35,\"perimeter\":34.4,\"height\":8.82,\"area\":37.32,\"image\":\"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\",\"boxArea\":\"82.47\"}]","mockupCreationType":"single","no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","material":null,"application":"Exterior","ul_mandatory":"Yes","paint_finish":"Gloss/Satin","no_of_letters":"8","perimeter_of_sign":"56.17","nested_area":"17.46","occupied_area":"9.55","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39"}},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: API Input Data Collected {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","sign_depth_or_thickness":"3","sign_type":"Fabricated Push Through - Single Sided","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"8","perimeter_of_sign":"56.17","nested_area":"17.46","occupied_area":"9.55","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39","material":null,"application":"Exterior","ul_mandatory":"Yes","paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null}},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Looking up SignType {"data":{"sign_type":"Fabricated Push Through - Single Sided"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Retrieved Material Formulas {"data":{"sign_type_id":13,"formulas_count":35},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Retrieved Variables List {"data":{"sign_type_id":13,"variables_count":8},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Price Map Constructed {"data":{"price_map":{"material501803":3.6821,"weight_material501803":0.629,"material501880":2.4107,"weight_material501880":0.503,"material501060":2.2179,"weight_material501060":0.378,"material502525":3.2429,"weight_material502525":0.875,"material501913":1.45,"weight_material501913":0.553,"material502428":1.7679,"weight_material502428":0.021,"material502468":0.3821,"weight_material502468":0.008,"material502204":15.2893,"weight_material502204":0.559,"material502203":25.32,"weight_material502203":0.739,"material502206":0.2786,"weight_material502206":0.054,"material166":2.3214,"weight_material166":0.28,"material167":5.1786,"weight_material167":0.38,"material168":12.0,"weight_material168":0.56,"material169":18.5714,"weight_material169":0.76,"material171":0.25,"weight_material171":0.008,"material500611":0.0062,"weight_material500611":6.2e-6,"material500214":0.0025,"weight_material500214":2.5e-6,"material501055":0.0155,"weight_material501055":1.55e-5,"material502098":0.0286,"weight_material502098":2.86e-5,"material502079":0.0163,"weight_material502079":1.63e-5,"material502350":0.0254,"weight_material502350":2.54e-5,"material501680":0.0076,"weight_material501680":7.6e-6,"material502131":0.0271,"weight_material502131":2.71e-5,"material500379":0.132,"weight_material500379":0.09,"material500419":0.16,"weight_material500419":0.11,"material502106":0.13,"weight_material502106":0.16,"material502567":0.13,"weight_material502567":0.21,"material502564":0.18,"weight_material502564":0.35,"material500154":0.4,"weight_material500154":0.38,"material502074":0.8,"weight_material502074":1.0}},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Variables Price Constructed {"data":{"variables_price":{"variable74":0,"variable75":0,"variable76":0,"variable77":0.75,"variable78":1.1,"variable79":1.2,"variable80":0,"variable81":0}},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Final Variables Merged {"data":{"variables_count":180},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Initialized items collection {"data":{"count":0},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Merged material items {"data":{"formulas_count":35,"items_count_after_merge":35},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Merged variable items {"data":{"variables_count":8,"items_count_after_merge":43},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Sorted items collection {"data":{"items_count":43,"first_item":{"type":"material","id":270,"expression":"if(avg_char_height == avg_char_height_greater_than_24_inches, nested_area * variable79 * material501803, 0 )","dense_weight_expression":"if(avg_char_height == avg_char_height_greater_than_24_inches, occupied_area * weight_material501803 , 0 )","name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","var_name":"material501803","price":"3.6821","description":"Aluminium Sheet 3/32\" (1100 Grade) – Used for cabinet face; provides a strong, smooth surface ideal for precision-cut openings and durable structure.","sequence_no":1},"last_item":{"type":"variable","id":81,"expression":"totalCost * variable78","dense_weight_expression":"totalDenseWeight * 1.1","name":"Total Cost","var_name":"variable81","price":null,"description":null,"sequence_no":43}},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Initializing MathExecutor {"data":{"variables_count":180},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: MathExecutor variables set {"data":{"variables_count":180},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight_expression":"if(avg_char_height == avg_char_height_greater_than_24_inches, occupied_area * weight_material501803 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","expression":"if(avg_char_height == avg_char_height_greater_than_24_inches, nested_area * variable79 * material501803, 0 )","result":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight_expression":"if(avg_char_height == avg_char_height_greater_than_24_inches, perimeter_of_sign * ( if(sign_depth_or_thickness >= 2, sign_depth_or_thickness, 2 ) / 12 ) * weight_material501803 * 1.5, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","expression":"if(avg_char_height == avg_char_height_greater_than_24_inches, perimeter_of_sign * ( if(sign_depth_or_thickness >= 2, sign_depth_or_thickness, 2 ) / 12 ) * variable79 * material501803 * 1.5, 0 )","result":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(avg_char_height == avg_char_height_greater_than_24_inches, 0, occupied_area * weight_material501880 )","itemDenseWeight":"4.80365"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","expression":"if(avg_char_height == avg_char_height_greater_than_24_inches, 0, nested_area * variable79 * material501880)","result":"50.5089864"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(avg_char_height == avg_char_height_less_than_24_inches, perimeter_of_sign * ( if(sign_depth_or_thickness >= 2, sign_depth_or_thickness, 2 ) / 12 ) * weight_material501060 * 1.5, 0 )","itemDenseWeight":"7.9620975"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","expression":"if(avg_char_height == avg_char_height_less_than_24_inches, perimeter_of_sign * ( if(sign_depth_or_thickness >= 2, sign_depth_or_thickness, 2 ) / 12 ) * variable79* material501060 * 1.5, 0 )","result":"56.06074935"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 8mm Matt 4 ft x 8 ft Pakistan","dense_weight_expression":"weight_material502525 * occupied_area","itemDenseWeight":8.356250000000001},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 8mm Matt 4 ft x 8 ft Pakistan","expression":"material502525 * nested_area * variable79","result":67.9452408},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 5mm White 4 ft x 8 ft Pakistan","dense_weight_expression":"weight_material501913 * occupied_area","itemDenseWeight":5.281150000000001},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 5mm White 4 ft x 8 ft Pakistan","expression":"material501913 * nested_area * variable79","result":30.380399999999998},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Vinyl 3630-26 3M Pakistan","dense_weight_expression":"weight_material502428 * occupied_area * 0.6","itemDenseWeight":0.12033000000000002},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Vinyl 3630-26 3M Pakistan","expression":"material502428 * nested_area * 0.6","result":18.520520400000002},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"LED Module 0.4W UL Cool White 10000K China","dense_weight_expression":"if(ul_mandatory == ul_mandatory_no, 0, weight_material502468 * 10 * nested_area )","itemDenseWeight":"1.3968"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"LED Module 0.4W UL Cool White 10000K China","expression":"if(ul_mandatory == ul_mandatory_no, 0, material502468 * 10 * nested_area )","result":"66.71466"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Power Supply 5A UL Certified IP68 Everylite China","dense_weight_expression":"if(ul_mandatory == ul_mandatory_no, 0, if( ( nested_area * 10 ) <= 70, weight_material502204 , 0 )  )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 5A UL Certified IP68 Everylite China","expression":"if(ul_mandatory == ul_mandatory_no, 0, if(nested_area * 10 <= 70, material502204 , 0 )  )","result":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Power Supply 5Amp. 60W UL Certified (Class-2) IP68 Everylite China","dense_weight_expression":"if(ul_mandatory == ul_mandatory_no, 0, if(nested_area * 10 > 70 && nested_area * 10 <= 140, weight_material502203 , 0 )  )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 5Amp. 60W UL Certified (Class-2) IP68 Everylite China","expression":"if(ul_mandatory == ul_mandatory_no, 0, if(nested_area * 10 > 70 && nested_area * 10 <= 140, material502203 , 0 )  )","result":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Power Supply 15A-10+5","dense_weight_expression":"if(application == application_exterior && nested_area * 10 > 140 && nested_area * 10 <= 210, weight_material502203 + weight_material502204 , 0 )","itemDenseWeight":"1.298"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 15A-10+5","expression":"if(application == application_exterior && nested_area * 10 > 140 && nested_area * 10 <= 210, material502203 + material502204, 0 )","result":"40.6093"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Power Supply 20A-(10A+10A)","dense_weight_expression":"if(application == application_exterior && nested_area * 10 > 210 && nested_area * 10 <= 21000, weight_material502203 * 2, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 20A-(10A+10A)","expression":"if(application == application_exterior && nested_area * 10 > 210 && nested_area * 10 <= 21000, material502203 * 2, 0 )","result":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Wire 18g UL UL Certified Red & White China","dense_weight_expression":"if(ul_mandatory == ul_mandatory_no, 0, no_of_letters * 2.5 * weight_material502206 )","itemDenseWeight":"1.08"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Wire 18g UL UL Certified Red & White China","expression":"if(ul_mandatory == ul_mandatory_no, 0, no_of_letters * 2.5 * material502206)","result":"5.572"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Non UL 5A Power Supply","dense_weight_expression":"if(ul_mandatory == ul_mandatory_no && nested_area * 10 <= 70, weight_material166 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Non UL 5A Power Supply","expression":"if(ul_mandatory == ul_mandatory_no && nested_area * 10 <= 70, material166 , 0 )","result":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Non UL 10A Power Supply","dense_weight_expression":"if(ul_mandatory == ul_mandatory_no && nested_area * 10 > 70 && nested_area * 10 <= 140, weight_material167 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Non UL 10A Power Supply","expression":"if(ul_mandatory == ul_mandatory_no && nested_area * 10 > 70 && nested_area * 10 <= 140, material167 , 0 )","result":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Non UL 15A Power Supply","dense_weight_expression":"if(ul_mandatory == ul_mandatory_no && nested_area * 10 > 140 && nested_area * 10 <= 210, weight_material168 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Non UL 15A Power Supply","expression":"if(ul_mandatory == ul_mandatory_no && nested_area * 10 > 140 && nested_area * 10 <= 210, material168 , 0 )","result":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Non UL 20A Power Supply","dense_weight_expression":"if(ul_mandatory == ul_mandatory_no && nested_area * 10 > 210 && nested_area * 10 <= 21000, weight_material169 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Non UL 20A Power Supply","expression":"if(ul_mandatory == ul_mandatory_no && nested_area * 10 > 210 && nested_area * 10 <= 21000, material169 , 0 )","result":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"LED Module 0.4W UL Cool White 10000K China","dense_weight_expression":"if(ul_mandatory == ul_mandatory_no, weight_material502468 * 10 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"LED Module 0.4W UL Cool White 10000K China","expression":"if(ul_mandatory == ul_mandatory_no, material502468 * 10 * nested_area, 0 )","result":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Non UL Wire","dense_weight_expression":"if(ul_mandatory == ul_mandatory_no, weight_material171 * 2.5 * no_of_letters, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Non UL Wire","expression":"if(ul_mandatory == ul_mandatory_no, material171 * 2.5 * no_of_letters, 0 )","result":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Epoxy Primer Pakistan","dense_weight_expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * weight_material500611","itemDenseWeight":0.007817850499800001},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Primer Pakistan","expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * material500611","result":7.8178504998000005},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Master Thinner Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * weight_material500214","itemDenseWeight":0.0006209192112500001},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Master Thinner Pakistan","expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * material500214","result":0.62091921125},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Epoxy Hardner Master Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * weight_material501055","itemDenseWeight":0.005922614015000001},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Hardner Master Pakistan","expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * material501055","result":5.922614015000001},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * weight_material502098 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * material502098 , 0 )","result":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * weight_material502079 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * material502079, 0 )","result":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502350 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502350 , 0 )","result":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * weight_material501680 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * material501680 , 0 )","result":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * weight_material502098)","itemDenseWeight":"0.01217240882"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * material502098 )","result":"12.17240882"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502131)","itemDenseWeight":"0.00590765637"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502131 )","result":"5.90765637"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * weight_material502350 )","itemDenseWeight":"0.0079100934"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * material502350)","result":"7.9100934"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * weight_material501680 )","itemDenseWeight":"0.00063114656"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * material501680 )","result":"0.63114656"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Paint Miscellaneous cost","expression":"0.2 * ( formula287 + formula288 + formula289 + formula290 + formula291 + formula292 + formula293 + formula294 + formula295 + formula296 + formula297 )","result":8.19653777521},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Packaging/Box Making","expression":"variable77 * nested_area","result":13.095},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 5ply","dense_weight_expression":"if( ( width_of_sign > 0 || other_dimension_of_sign > 0 ) && width_of_sign <= 30 && other_dimension_of_sign <= 30, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500379 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 5ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 7Ply","dense_weight_expression":"if( ( width_of_sign > 30 || other_dimension_of_sign > 30 ) && width_of_sign <= 50 && other_dimension_of_sign <= 50, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500419 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 7Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight_expression":"if( ( width_of_sign > 50 || other_dimension_of_sign > 50 ) && width_of_sign <= 60 && other_dimension_of_sign <= 60, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material502106 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ) && width_of_sign <= 70 && other_dimension_of_sign <= 70, nested_area * 2 * weight_material502567 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight_expression":"if( ( width_of_sign > 70 || other_dimension_of_sign > 70 ) && width_of_sign <= 90 && other_dimension_of_sign <= 90, nested_area * 2 * weight_material502564 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight_expression":"if( ( width_of_sign > 90 || other_dimension_of_sign > 90 ), nested_area * weight_material500154 * 2, 0 )","itemDenseWeight":"13.2696"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight":"13.2696","result":0},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Dense weight computed {"data":{"name":"Wood Lar 9''x132''","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ), 4 * sqrt(nested_area) * (  ( sign_depth_or_thickness + 2 ) / 12 ) * weight_material502074 , 0 )","itemDenseWeight":"6.9641941385921"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: No formula, default result applied {"data":{"name":"Wood Lar 9''x132''","dense_weight":"6.9641941385921","result":0},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: No formula, default result applied {"data":{"name":"Miscalleneous (10%)","dense_weight":0,"result":0},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: No formula, default result applied {"data":{"name":"Where Wastage magnification factor for Sheets consumption is taken as","dense_weight":0,"result":0},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula executed successfully {"data":{"name":"Flush/Stud Mount","expression":"if(mounting_type == mounting_type_flush_stud_mounted, 1, 0 )","result":"1"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Total Cost formula detected {"data":{"item_id":81},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Formula calculations completed {"data":{"total_items":43,"successful_calculations":42,"errors_count":0},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Summed initial totals {"data":{"totalCost_before_formula":399.58608360126004,"totalDenseWeight_before_formula":50.57305432746815},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Total Cost formula executed {"data":{"formula":"totalCost * variable78","computed_totalCost":439.5446919613861},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Total Dense Weight formula executed {"data":{"formula":"totalDenseWeight * 1.1","computed_totalDenseWeight":55.63035976021497},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Total Cost result added to calculationsResults {"data":{"variable_id":81,"result":439.5446919613861,"dense_weight_expression":55.63035976021497},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Preparing boxes for bin packing {"data":{"sign_type":"Fabricated Push Through - Single Sided","objects_count":8,"totalDenseWeight":55.63035976021497},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Processing flush stud mounted objects for 3D bin packing {"data":{"objects_count":8,"sign_depth":"3"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-1","width":24.32,"height":20.31,"depth":"3"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-2","width":36.35,"height":19.51,"depth":"3"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-3","width":16.57,"height":19.51,"depth":"3"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-4","width":17.91,"height":19.51,"depth":"3"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-5","width":19.24,"height":20.58,"depth":"3"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-6","width":8.82,"height":9.09,"depth":"3"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-7","width":8.82,"height":9.09,"depth":"3"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-8","width":9.35,"height":8.82,"depth":"3"},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: 3D Bin Packing API response received {"data":{"response":{"response":{"id":"1769669007_6eef9af30ae11b23d44a3a6565f42c44","bins_packed":[{"bin_data":{"w":36.65,"h":20.88,"d":13.2,"id":"unique","used_space":84.7978,"weight":0,"gross_weight":0,"used_weight":100,"stack_height":20.88,"order_id":null},"image_complete":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/92593239d0c4d369679ef577d246f53b/1769669007-7309-9115577.svg","items":[{"id":"item-2","w":36.65,"h":19.81,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/92593239d0c4d369679ef577d246f53b/1769669007-7303-2683834.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-1","w":24.62,"h":20.61,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/92593239d0c4d369679ef577d246f53b/1769669007-7305-6595139.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-8","w":9.65,"h":9.12,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/92593239d0c4d369679ef577d246f53b/1769669007-7305-4546888.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-6","w":9.12,"h":9.39,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/92593239d0c4d369679ef577d246f53b/1769669007-7306-6256861.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-5","w":19.54,"h":20.88,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/92593239d0c4d369679ef577d246f53b/1769669007-7307-8040383.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-4","w":18.21,"h":19.81,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/92593239d0c4d369679ef577d246f53b/1769669007-7307-4464163.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-3","w":16.87,"h":19.81,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/92593239d0c4d369679ef577d246f53b/1769669007-7308-9248885.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-7","w":9.12,"h":9.39,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/92593239d0c4d369679ef577d246f53b/1769669007-7308-6657184.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}}]}],"errors":[],"status":1,"not_packed_items":[]}}},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:27] local.INFO: Box added from packed bin {"data":{"length":13.2,"width":36.65,"height":20.88,"denseWeight":55.63035976021497},"timestamp":"2026-01-29 06:43:27"} 
[2026-01-29 06:43:28] local.INFO: Shipping rates calculated {"data":{"boxes":[{"size":{"length":15.2,"width":38.65,"height":23.13},"quantity":1,"denseWeight":55.63035976021497}],"cheapestShippingCost":560.4039124999999,"rawShippingRates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":15.2,"width":38.65,"height":23.13},"denseWeight":55.63035976021497,"volumetricWeight":45,"higherWeight":55.63035976021497,"quantity":1}],"totalHigherWeight":55.63035976021497,"DS":89.00857561634396,"rate":705.8105516995796,"tariffAndDS":794.8191273159235,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":1262.5066685231964,"totalShipmentCostFormula":"((tariffAndDS (794.81912731592) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 1262.51","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":15.2,"width":38.65,"height":23.13},"denseWeight":55.63035976021497,"volumetricWeight":45,"higherWeight":55.63035976021497,"quantity":1}],"totalHigherWeight":55.63035976021497,"DS":89.00857561634396,"rate":399.9385902735478,"tariffAndDS":488.9471658898917,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":802.1387793808759,"totalShipmentCostFormula":"((tariffAndDS (488.94716588989) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 802.14","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":15.2,"width":38.65,"height":23.13},"denseWeight":55.63035976021497,"volumetricWeight":45,"higherWeight":55.63035976021497,"quantity":1}],"totalHigherWeight":55.63035976021497,"DS":55.63035976021497,"rate":525.3712220525045,"tariffAndDS":581.0015818127196,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":892.9994312461498,"totalShipmentCostFormula":"(( tariffAndDS (581.00158181272) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 892.99943124615","warnings":[]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":15.2,"width":38.65,"height":23.13},"denseWeight":55.63035976021497,"volumetricWeight":45,"higherWeight":55.63035976021497,"quantity":1}],"totalHigherWeight":55.63035976021497,"DS":89.00857561634396,"rate":"516.60","tariffAndDS":605.608575616344,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":649.608575616344,"totalShipmentCostFormula":"(((tariffAndDS (605.60857561634) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 649.60857561634","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":15.2,"width":38.65,"height":23.13},"denseWeight":55.63035976021497,"volumetricWeight":45,"higherWeight":55.63035976021497,"quantity":1}],"totalHigherWeight":55.63035976021497,"DS":0,"rate":354.27,"tariffAndDS":354.27,"fuelSurcharge":"0.3250","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":560.4039124999999,"totalShipmentCostFormula":"(((tariffAndDS (354.27) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3250)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 560.4039125","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":15.2,"width":38.65,"height":23.13},"denseWeight":55.63035976021497,"volumetricWeight":45,"higherWeight":55.63035976021497,"quantity":1}],"totalHigherWeight":55.63035976021497,"DS":0,"rate":1006.3035976021497,"tariffAndDS":1006.3035976021497,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":1006.3035976021497,"totalShipmentCostFormula":"((tariffAndDS (1006.3035976021) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 1006.3035976021"}]}},"timestamp":"2026-01-29 06:43:28"} 
[2026-01-29 06:43:28] local.INFO: Product cost factor determined {"data":{"sign_type":"Fabricated Push Through - Single Sided","productCostFactor":1.42},"timestamp":"2026-01-29 06:43:28"} 
[2026-01-29 06:43:28] local.INFO: Final API Response {"data":{"sign_width":"120","sign_height":"32.39","sign_depth":"3","sign_type":"Fabricated Push Through - Single Sided","processed_sign_type":"Fabricated Push Through - Single Sided","sideViewImage":"https://api.signize.ai/mockups/flush-stud/flush-stud-fabricated-push-through-single-sided.png","mounting_type":"Flush/Stud mounted","combined_production_cost_usd":440.0,"total_production_cost":630.0,"totalDenseWeight":55.63035976021497,"totalVolumetricWeight":45,"bin_packing_result":{"response":{"id":"1769669007_6eef9af30ae11b23d44a3a6565f42c44","bins_packed":[{"bin_data":{"w":36.65,"h":20.88,"d":13.2,"id":"unique","used_space":84.7978,"weight":0,"gross_weight":0,"used_weight":100,"stack_height":20.88,"order_id":null},"image_complete":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/92593239d0c4d369679ef577d246f53b/1769669007-7309-9115577.svg","items":[{"id":"item-2","w":36.65,"h":19.81,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/92593239d0c4d369679ef577d246f53b/1769669007-7303-2683834.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-1","w":24.62,"h":20.61,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/92593239d0c4d369679ef577d246f53b/1769669007-7305-6595139.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-8","w":9.65,"h":9.12,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/92593239d0c4d369679ef577d246f53b/1769669007-7305-4546888.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-6","w":9.12,"h":9.39,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/92593239d0c4d369679ef577d246f53b/1769669007-7306-6256861.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-5","w":19.54,"h":20.88,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/92593239d0c4d369679ef577d246f53b/1769669007-7307-8040383.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-4","w":18.21,"h":19.81,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/92593239d0c4d369679ef577d246f53b/1769669007-7307-4464163.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-3","w":16.87,"h":19.81,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/92593239d0c4d369679ef577d246f53b/1769669007-7308-9248885.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-7","w":9.12,"h":9.39,"d":3.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/92593239d0c4d369679ef577d246f53b/1769669007-7308-6657184.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}}]}],"errors":[],"status":1,"not_packed_items":[]}},"shipping_rates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":15.2,"width":38.65,"height":23.13},"denseWeight":55.63035976021497,"volumetricWeight":45,"higherWeight":55.63035976021497,"quantity":1}],"totalHigherWeight":55.63035976021497,"DS":89.00857561634396,"rate":705.8105516995796,"tariffAndDS":794.8191273159235,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":1262.5066685231964,"totalShipmentCostFormula":"((tariffAndDS (794.81912731592) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 1262.51","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":15.2,"width":38.65,"height":23.13},"denseWeight":55.63035976021497,"volumetricWeight":45,"higherWeight":55.63035976021497,"quantity":1}],"totalHigherWeight":55.63035976021497,"DS":89.00857561634396,"rate":399.9385902735478,"tariffAndDS":488.9471658898917,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":802.1387793808759,"totalShipmentCostFormula":"((tariffAndDS (488.94716588989) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 802.14","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":15.2,"width":38.65,"height":23.13},"denseWeight":55.63035976021497,"volumetricWeight":45,"higherWeight":55.63035976021497,"quantity":1}],"totalHigherWeight":55.63035976021497,"DS":55.63035976021497,"rate":525.3712220525045,"tariffAndDS":581.0015818127196,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":892.9994312461498,"totalShipmentCostFormula":"(( tariffAndDS (581.00158181272) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 892.99943124615","warnings":[]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":15.2,"width":38.65,"height":23.13},"denseWeight":55.63035976021497,"volumetricWeight":45,"higherWeight":55.63035976021497,"quantity":1}],"totalHigherWeight":55.63035976021497,"DS":89.00857561634396,"rate":"516.60","tariffAndDS":605.608575616344,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":649.608575616344,"totalShipmentCostFormula":"(((tariffAndDS (605.60857561634) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 649.60857561634","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":15.2,"width":38.65,"height":23.13},"denseWeight":55.63035976021497,"volumetricWeight":45,"higherWeight":55.63035976021497,"quantity":1}],"totalHigherWeight":55.63035976021497,"DS":0,"rate":354.27,"tariffAndDS":354.27,"fuelSurcharge":"0.3250","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":560.4039124999999,"totalShipmentCostFormula":"(((tariffAndDS (354.27) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3250)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 560.4039125","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":15.2,"width":38.65,"height":23.13},"denseWeight":55.63035976021497,"volumetricWeight":45,"higherWeight":55.63035976021497,"quantity":1}],"totalHigherWeight":55.63035976021497,"DS":0,"rate":1006.3035976021497,"tariffAndDS":1006.3035976021497,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":1006.3035976021497,"totalShipmentCostFormula":"((tariffAndDS (1006.3035976021) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 1006.3035976021"}]},"cheapest_shipping_cost_usd":570.0,"totalCost":1190.0,"productionResults":[{"material_id":270,"dense_weight_expression":0,"result":"0","sign_material":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","description":null,"sequence_no":1},{"material_id":271,"dense_weight_expression":0,"result":"0","sign_material":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","description":null,"sequence_no":2},{"material_id":272,"dense_weight_expression":4.80365,"result":"50.5089864","sign_material":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","description":"Aluminium Sheet 3/32\" (1100 Grade) – Used for cabinet face; provides a strong, smooth surface ideal for precision-cut openings and durable structure.","sequence_no":3},{"material_id":273,"dense_weight_expression":7.9620975,"result":"56.06074935","sign_material":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","description":"Aluminium Sheet 1/16\" – Used for cabinet returns; lightweight yet sturdy for framing and edge construction of the illuminated box.","sequence_no":4},{"material_id":274,"dense_weight_expression":8.356250000000001,"result":67.9452408,"sign_material":"Acrylic Sheet 8mm Matt 4 ft x 8 ft Pakistan","description":"Acrylic Sheet 1/2\" – Used for push-thru letters; provides depth and diffusion for even illumination with a premium matte finish.","sequence_no":5},{"material_id":275,"dense_weight_expression":5.281150000000001,"result":30.380399999999998,"sign_material":"Acrylic Sheet 5mm White 4 ft x 8 ft Pakistan","description":null,"sequence_no":6},{"material_id":276,"dense_weight_expression":0.12033000000000002,"result":18.520520400000002,"sign_material":"Vinyl 3630-26 3M Pakistan","description":"Vinyl 3M 3630-26 – Applied over push-thru acrylic; ensures accurate color presentation and light diffusion for illuminated graphics.","sequence_no":7},{"material_id":277,"dense_weight_expression":1.3968,"result":"66.71466","sign_material":"LED Module 0.4W UL Cool White 10000K China","description":"UL Certified Modules – 12V DC, IP65, 0.72–1.2W per module","sequence_no":8},{"material_id":278,"dense_weight_expression":0,"result":"0","sign_material":"Power Supply 5A UL Certified IP68 Everylite China","description":null,"sequence_no":9},{"material_id":279,"dense_weight_expression":0,"result":"0","sign_material":"Power Supply 5Amp. 60W UL Certified (Class-2) IP68 Everylite China","description":null,"sequence_no":10},{"variable_id":74,"dense_weight_expression":1.298,"result":"40.6093","sign_material":"Power Supply 15A-10+5","description":"Power Supply 15A–(10A+5A) UL Certified – 12V DC output (10A + 5A split), 180W total, UL certified.","sequence_no":11},{"variable_id":75,"dense_weight_expression":0,"result":"0","sign_material":"Power Supply 20A-(10A+10A)","description":null,"sequence_no":12},{"material_id":280,"dense_weight_expression":1.08,"result":"5.572","sign_material":"Wire 18g UL UL Certified Red & White China","description":"Wire 18 Gauge (Red & White) UL Certified – 18 AWG stranded copper, 300V, PVC insulated, UL-approved.","sequence_no":13},{"material_id":281,"dense_weight_expression":0,"result":"0","sign_material":"Non UL 5A Power Supply","description":null,"sequence_no":14},{"material_id":282,"dense_weight_expression":0,"result":"0","sign_material":"Non UL 10A Power Supply","description":null,"sequence_no":15},{"material_id":283,"dense_weight_expression":0,"result":"0","sign_material":"Non UL 15A Power Supply","description":null,"sequence_no":16},{"material_id":284,"dense_weight_expression":0,"result":"0","sign_material":"Non UL 20A Power Supply","description":null,"sequence_no":17},{"material_id":285,"dense_weight_expression":0,"result":"0","sign_material":"LED Module 0.4W UL Cool White 10000K China","description":null,"sequence_no":18},{"material_id":286,"dense_weight_expression":0,"result":"0","sign_material":"Non UL Wire","description":null,"sequence_no":19},{"material_id":287,"dense_weight_expression":0.007817850499800001,"result":7.8178504998000005,"sign_material":"Epoxy Primer Pakistan","description":null,"sequence_no":20},{"material_id":288,"dense_weight_expression":0.0006209192112500001,"result":0.62091921125,"sign_material":"Master Thinner Pakistan","description":null,"sequence_no":21},{"material_id":289,"dense_weight_expression":0.005922614015000001,"result":5.922614015000001,"sign_material":"Epoxy Hardner Master Pakistan","description":null,"sequence_no":22},{"material_id":290,"dense_weight_expression":0,"result":"0","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":23},{"material_id":291,"dense_weight_expression":0,"result":"0","sign_material":"Matting Agent (P565-554) 1L Nexa Pakistan","description":null,"sequence_no":24},{"material_id":292,"dense_weight_expression":0,"result":"0","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":25},{"material_id":293,"dense_weight_expression":0,"result":"0","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":26},{"material_id":294,"dense_weight_expression":0.01217240882,"result":"12.17240882","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":27},{"material_id":295,"dense_weight_expression":0.00590765637,"result":"5.90765637","sign_material":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","description":"High Quality Gloss / Satin Paint – PU or solvent-based, gloss (70+ GU) or satin (30–50 GU) sheen.","sequence_no":28},{"material_id":296,"dense_weight_expression":0.0079100934,"result":"7.9100934","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":29},{"material_id":297,"dense_weight_expression":0.00063114656,"result":"0.63114656","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":30},{"variable_id":76,"dense_weight_expression":0,"result":8.19653777521,"sign_material":"Paint Miscellaneous cost","description":null,"sequence_no":31},{"variable_id":77,"dense_weight_expression":0,"result":13.095,"sign_material":"Packaging/Box Making","description":"Custom Packaging with 3–5 ply corrugated boxes with inner foam/styro and stretch wrap.","sequence_no":32},{"material_id":589,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 5ply","description":null,"sequence_no":33},{"material_id":590,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 7Ply","description":null,"sequence_no":34},{"material_id":591,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 9 Ply","description":null,"sequence_no":35},{"material_id":592,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 5mm 3 Core 4*8","description":null,"sequence_no":36},{"material_id":593,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 7mm 4 Core","description":null,"sequence_no":37},{"material_id":594,"dense_weight_expression":13.2696,"result":0,"sign_material":"Plywood Sheet 8*4 Mersawa 6 core 9MM","description":null,"sequence_no":38},{"material_id":595,"dense_weight_expression":6.9641941385921,"result":0,"sign_material":"Wood Lar 9''x132''","description":null,"sequence_no":39},{"variable_id":78,"dense_weight_expression":0,"result":0,"sign_material":"Miscalleneous (10%)","description":null,"sequence_no":40},{"variable_id":79,"dense_weight_expression":0,"result":0,"sign_material":"Where Wastage magnification factor for Sheets consumption is taken as","description":null,"sequence_no":41},{"variable_id":80,"dense_weight_expression":0,"result":"1","sign_material":"Flush/Stud Mount","description":"Sign to be Flush Mount","sequence_no":42},{"variable_id":81,"dense_weight_expression":55.63035976021497,"result":439.5446919613861,"sign_material":"Total Cost","description":null,"sequence_no":43}],"productionError":[],"request":{"sign_width_or_height":"120","sign_depth_or_thickness":"3","sign_type":"Fabricated Push Through - Single Sided","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"8","perimeter_of_sign":"56.17","nested_area":"17.46","occupied_area":"9.55","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39","material":null,"application":"Exterior","ul_mandatory":"Yes","paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null},"TATDays":21,"testDenseWeight":0},"timestamp":"2026-01-29 06:43:28"} 
[2026-01-29 06:43:28] local.INFO: API Epic Craftings Calculation Ended ======================================================================================================== {"data":null,"timestamp":"2026-01-29 06:43:28"} 
[2026-01-29 06:43:29] local.INFO: API B2 Sign Calculation Started ======================================================================================================== {"data":null,"timestamp":"2026-01-29 06:43:29"} 
[2026-01-29 06:43:29] local.INFO: Incoming Request {"data":{"sign_type_name":"Fabricated Push Through - Single Sided","sign_depth":3,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","dimensions":[{"id":"51b3e5b6-0f14-47ab-8286-b2a3a90e6065","height":20.31,"width":24.32},{"id":"48c7a78d-0960-49ba-9936-885e9a89b512","height":19.51,"width":36.35},{"id":"2f00eb3e-64ab-417b-8632-dfd21d9639f6","height":19.51,"width":16.57},{"id":"f9312cd6-7ce5-409b-a5dc-7915aa2a4f12","height":19.51,"width":17.91},{"id":"90ac72a5-a687-4887-a494-425d11f1d2ff","height":20.58,"width":19.24},{"id":"11a2d7df-015f-4d63-82e7-163b2da3f865","height":9.09,"width":8.82},{"id":"ec151c1b-48e6-4f6c-a863-8add7838faef","height":9.09,"width":8.82},{"id":"b23b0cf0-f92d-4e03-a98a-d51b7c06256b","height":8.82,"width":9.35}]},"timestamp":"2026-01-29 06:43:29"} 
[2026-01-29 06:43:29] local.INFO: Validating Request Payload {"data":[],"timestamp":"2026-01-29 06:43:29"} 
[2026-01-29 06:43:29] local.INFO: Request Validation Successful {"data":{"validated_data":{"sign_type_name":"Fabricated Push Through - Single Sided","sign_depth":3,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","dimensions":[{"id":"51b3e5b6-0f14-47ab-8286-b2a3a90e6065","height":20.31,"width":24.32},{"id":"48c7a78d-0960-49ba-9936-885e9a89b512","height":19.51,"width":36.35},{"id":"2f00eb3e-64ab-417b-8632-dfd21d9639f6","height":19.51,"width":16.57},{"id":"f9312cd6-7ce5-409b-a5dc-7915aa2a4f12","height":19.51,"width":17.91},{"id":"90ac72a5-a687-4887-a494-425d11f1d2ff","height":20.58,"width":19.24},{"id":"11a2d7df-015f-4d63-82e7-163b2da3f865","height":9.09,"width":8.82},{"id":"ec151c1b-48e6-4f6c-a863-8add7838faef","height":9.09,"width":8.82},{"id":"b23b0cf0-f92d-4e03-a98a-d51b7c06256b","height":8.82,"width":9.35}]}},"timestamp":"2026-01-29 06:43:29"} 
[2026-01-29 06:43:29] local.INFO: Fetching Sign Type {"data":{"sign_type_name":"Fabricated Push Through - Single Sided"},"timestamp":"2026-01-29 06:43:29"} 
[2026-01-29 06:43:29] local.INFO: Sign Type Query Result {"data":{"found":true,"sign_type_id":13},"timestamp":"2026-01-29 06:43:29"} 
[2026-01-29 06:43:29] local.INFO: Checking B2 Module for Sign Type {"data":{"sign_type_id":13},"timestamp":"2026-01-29 06:43:29"} 
[2026-01-29 06:43:29] local.INFO: Sign Type B2 Module Result {"data":{"has_b2_module":false},"timestamp":"2026-01-29 06:43:29"} 
[2026-01-29 06:43:29] local.ERROR: Sign Type Without B2 Module Attempt {"data":{"sign_type_id":13},"timestamp":"2026-01-29 06:43:29"} 
[2026-01-29 06:43:30] local.INFO: USA Workshop Calculation API Started {"data":{"request":{"sign_type":"Fabricated Push Through - Single Sided","sign_depth":3,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","shipping_weight":55.63035976021497,"shape":"rectangular","dimensions":[{"id":"51b3e5b6-0f14-47ab-8286-b2a3a90e6065","height":20.31,"width":24.32},{"id":"48c7a78d-0960-49ba-9936-885e9a89b512","height":19.51,"width":36.35},{"id":"2f00eb3e-64ab-417b-8632-dfd21d9639f6","height":19.51,"width":16.57},{"id":"f9312cd6-7ce5-409b-a5dc-7915aa2a4f12","height":19.51,"width":17.91},{"id":"90ac72a5-a687-4887-a494-425d11f1d2ff","height":20.58,"width":19.24},{"id":"11a2d7df-015f-4d63-82e7-163b2da3f865","height":9.09,"width":8.82},{"id":"ec151c1b-48e6-4f6c-a863-8add7838faef","height":9.09,"width":8.82},{"id":"b23b0cf0-f92d-4e03-a98a-d51b7c06256b","height":8.82,"width":9.35}]}},"timestamp":"2026-01-29 06:43:30"} 
[2026-01-29 06:43:30] local.INFO: Validation Passed {"data":[],"timestamp":"2026-01-29 06:43:30"} 
[2026-01-29 06:43:30] local.INFO: Input Parameters {"data":{"dimensions_count":8,"shape":"rectangular"},"timestamp":"2026-01-29 06:43:30"} 
[2026-01-29 06:43:30] local.INFO: Resolved Default Data {"data":{"sign_type_map":{"sign_type_halo_lit_letters":"Halo Lit Channel Letters","sign_type_face_lit_letters":"Premium Face-Lit Letters (Metallic Trim)","sign_type_face_and_halo_lit_letters":"Face & Halo Lit Channel Letters","sign_type_single_sided_lightbox":"Fabricated Lightbox - Single Sided","sign_type_double_sided_lightbox":"Fabricated Blade Sign -  Illuminated/Double Sided","sign_type_flat_cut_acrylic_letters":"Flat Cut Acrylic Letters","sign_type_flat_cut_aluminum_letters":"Flat Cut Aluminum Letters","sign_type_single_sided_push_through":"Fabricated Push Through - Single Sided","sign_type_fabricated_letters_non_lit":"Fabricated Channel Letters - Non Illuminated","sign_type_2d_blade_sign":"Flat Blade Sign","sign_type_3d_blade_sign":"Fabricated Blade Sign - Non Illuminated / Double Sided","sign_type_neon_sign":"Neon Sign","sign_type_marquee_channel_letters":"Marquee Channel Letters","sign_type_open_face_neon_channel_letters":"Open Face Neon Channel Letters","sign_type_mirror_infinity_channel_letters":"Mirror Infinity Channel Letters","sign_type_metal_on_acrylic":"Flat Cut Acrylic with Metal Pasting","sign_type_neon_acrylic_sign":"Neon Acrylic Sign","sign_type_double_sided_push_through_cabinet":"Double Sided Push Through Cabinet","sign_type_standard_face_lit_plastic_trim_letters":"Standard Face Lit Letters (Plastic Trim)","mounting_type_flush_stud_mounted":"Flush/Stud mounted","mounting_type_standard_raceway_6x2":"Standard Raceway","mounting_type_flat_backer_2_5_mm":"Flat Backer","mounting_type_backerboard_cabinet_2_inch":"Backerboard Cabinet","avg_char_height_less_than_24_inches":"Less than 24 inches","avg_char_height_greater_than_24_inches":"Greater than 24 inches","raceway_height_6":"6","raceway_height_8":"8","raceway_height_10":"10","raceway_height_12":"12","raceway_depth_2":"2","raceway_depth_3":"3","raceway_depth_4":"4","raceway_depth_5":"5","raceway_depth_6":"6","raceway_depth_7":"7","raceway_depth_8":"8","backboard_cabinet_depth_2":"2","backboard_cabinet_depth_3":"3","backboard_cabinet_depth_4":"4","backboard_cabinet_depth_5":"5","backboard_cabinet_depth_6":"6","backboard_cabinet_depth_7":"7","backboard_cabinet_depth_8":"8","material_aluminium":"Aluminium","material_stainless_steel":"Stainless Steel","application_exterior":"Exterior","application_interior":"Interior","ul_mandatory_yes":"Yes","ul_mandatory_no":"No","paint_finish_gloss_satin":"Gloss/Satin","paint_finish_matte":"Matte","neon_color_simple":"Simple","neon_color_rgb":"RGB","uv_printing_needed_yes":"Yes","uv_printing_needed_no":"No","trim_type_trimless":"Trimless","trim_type_with_trim":"With Trim","fabricated_finish_original_colors_matt":"Original Colors Matt","fabricated_finish_original_colors_gloss":"Original Colors Gloss","fabricated_finish_silver_mirror":"Silver Mirror","fabricated_finish_silver_brushed":"Silver Brushed","fabricated_finish_golden_mirror":"Golden Mirror","fabricated_finish_golden_brushed":"Golden Brushed","fabricated_finish_bronze_mirror":"Bronze Mirror","fabricated_finish_bronze_brushed":"Bronze Brushed","fabricated_finish_bronze_antique":"Bronze Antique","lightbox_type_light_box":"Lightbox","lightbox_type_cut_to_shape":"Cut to shape Lightbox","return_color_black":"Black","return_color_white":"White","return_color_blue":"Blue","return_color_brown":"Brown","return_color_yellow":"Yellow","return_color_teal":"Teal","return_color_orange":"Orange","return_color_golden_brushed":"Gold Brushed","return_color_match_logo":"Match Logo (Default)","shape_rectangular":"Rectangular","shape_cut_to_shape":"Cut to shape","shape_round":"Round"}},"timestamp":"2026-01-29 06:43:30"} 
[2026-01-29 06:43:30] local.INFO: Sign Type Lookup {"data":{"sign_type":"Fabricated Push Through - Single Sided","found":true,"sign_type_id":13},"timestamp":"2026-01-29 06:43:30"} 
[2026-01-29 06:43:30] local.INFO: USA Workshop Module Check {"data":{"sign_type_id":13,"has_module":true},"timestamp":"2026-01-29 06:43:30"} 
[2026-01-29 06:43:30] local.INFO: Initial Price Lookup {"data":{"shape":"rectangular","price_found":true},"timestamp":"2026-01-29 06:43:30"} 
[2026-01-29 06:43:30] local.INFO: USA Workshop Price Found {"data":{"base":"full","price_per_inch":80.0},"timestamp":"2026-01-29 06:43:30"} 
[2026-01-29 06:43:30] local.INFO: Calculating Production Cost (Full Base) {"data":[],"timestamp":"2026-01-29 06:43:30"} 
[2026-01-29 06:43:30] local.INFO: USA Workshop Calculation Completed {"data":{"production_cost":2159.3333333333335,"dimensions_count":8},"timestamp":"2026-01-29 06:43:30"} 
[2026-01-29 06:48:13] local.INFO: Image-to-Text API Request Received {"data":{"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_image":{"Illuminate\\Http\\UploadedFile":"C:\\xampp\\tmp\\php33A6.tmp"}},"file_present":true},"timestamp":"2026-01-29 06:48:13"} 
[2026-01-29 06:48:13] local.INFO: Validation Passed {"data":{"sign_width_or_height":"120","user_input_dimension":"width"},"timestamp":"2026-01-29 06:48:13"} 
[2026-01-29 06:48:13] local.INFO: Prepared Query Parameter for Image-to-Text API {"data":{"query_param":"banner_width_ft","query_value":9.999996},"timestamp":"2026-01-29 06:48:13"} 
[2026-01-29 06:48:13] local.INFO: Calling Image-to-Text API {"data":{"file_name":"Screenshot 2025-10-28 100019.png","query_param":"banner_width_ft","query_value":9.999996,"file_size":37443},"timestamp":"2026-01-29 06:48:13"} 
[2026-01-29 06:48:13] local.INFO: Trying Image-to-Text server {"data":{"url":"https://edgebased.codeblue.agency/docs/process-image?banner_width_ft=9.999996","file":"Screenshot 2025-10-28 100019.png"},"timestamp":"2026-01-29 06:48:13"} 
[2026-01-29 06:48:13] local.ERROR: Server FAILED {"data":{"url":"https://edgebased.codeblue.agency/docs/process-image?banner_width_ft=9.999996","error":"Server responded but data invalid"},"timestamp":"2026-01-29 06:48:13"} 
[2026-01-29 06:48:13] local.INFO: Trying Image-to-Text server {"data":{"url":"http://imagetotext.marke-ter.online:8002/process-image?banner_width_ft=9.999996","file":"Screenshot 2025-10-28 100019.png"},"timestamp":"2026-01-29 06:48:13"} 
[2026-01-29 06:48:14] local.INFO: Server succeeded {"data":{"url":"http://imagetotext.marke-ter.online:8002/process-image?banner_width_ft=9.999996"},"timestamp":"2026-01-29 06:48:14"} 
[2026-01-29 06:48:14] local.INFO: Image-to-Text API Response 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\",\"scaled_width\":23.84,\"scaled_height\":20.09,\"exact_perimeter\":111.77,\"approximate_perimeter\":102.87,\"convex_hull_perimeter\":77.21,\"perimeter_pixels\":417.28,\"approximation_points\":12,\"original_contour_points\":119,\"shape_analysis\":{\"perimeter_to_area_ratio\":0.3665,\"compactness\":0.3068,\"aspect_ratio\":1.19}},{\"index\":1,\"position\":{\"x\":220,\"y\":42,\"width\":134,\"height\":71},\"actual_filled_area\":314.58,\"bounding_box_area\":682,\"image_base64\":\"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\"}}"},"timestamp":"2026-01-29 06:48:14"} 
[2026-01-29 06:48:14] local.INFO: Detected Objects from Image-to-Text API 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","scaled_width":23.84,"scaled_height":20.09,"exact_perimeter":111.77,"approximate_perimeter":102.87,"convex_hull_perimeter":77.21,"perimeter_pixels":417.28,"approximation_points":12,"original_contour_points":119,"shape_analysis":{"perimeter_to_area_ratio":0.3665,"compactness":0.3068,"aspect_ratio":1.19}},{"index":1,"position":{"x":220,"y":42,"width":134,"height":71},"actual_filled_area":314.58,"bounding_box_area":682,"image_base64":"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06:48:14"} 
[2026-01-29 06:48:14] local.INFO: Nested area calculated {"data":{"nestedArea":2418.3108999999995},"timestamp":"2026-01-29 06:48:14"} 
[2026-01-29 06:48:14] local.INFO: Mapped objects from Image-to-Text API 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jvjZnsbFBIMxncxaLBcNsoLfOP3MPbnDjI7n+0deByZFBEFUE8AhUtmKLDnUDUSUWgfZrwZbCtOsb6BECWeEyR45S4h8CbhDEfkiHJvwSx7/hyA0F+6dAtwnTCIs1Z1o0Dlx6Kd/6xtfZ2FjgHuScaa2hSSEgEHozPAwzo5ZKAO6ORUAE7k5KinUnpUzKiVNPO5M7nvloVoSDTC7cuzt2fvS3IQLNCRXBzFFNuDsRTvADSRPLcaLWyjQ1IhwRRUQRFfDACfDA3ImAYRhYLBYggrvTemdtPmdjsUGtFRFhmhrT1Ni6ZQu9d8ZxJNdK74Ym5QeE3jtDHWitYWaYBSJC7x0QzI2cMkFgZmhS3APVhJkhIpgZApg7wzAAwmxW+MWnvoJth16HFeFHcDM0JX5ccuHeXfGFj7wSx5GUsN5xd0op9N5xcw459FD2799Pb42UCiln3DrugYgAgrkTHogqi8WCYaj0bgy1gsBiMaKquDt1GGjTSC6F/ZfvZ5jNmFpjU86ZaZoQTYzLJbP5nGlqzGZzlssFgpBzpfdGRJBLpk0NSUprHdVETpnuRhKl9Ya7k1KCgO4dQhAg58w0NU6/33/k1LueyRWEf4eZ8c43/Bq3vv1J3ObE+wQ/IPw75KJ9u+OCP/89FosFpRRSKoQby3HJ2toal116gNlsYJomUkqICNM0Ye7klMi50LshCIZjboQ71p1SC9acnDOi0KaOuxMERBDAMMxoZozjRETgEcyGGVPrLBcLcs6IKCICBOaOpoyZEe4gQgC1VMZxgZujOTHUGW1qmBu9G7UUzA0zRxDcnFILx97mOO77iBegqqwIP8IX/ur98b63vIGI4JS73IMz7/8kUsqsCP8GuXDvrvjch15GHQbcjE1uwdQ6qgoRTK1ThkpvnVorEUGEs7GxYD6fsxyXCEKtA+M4QgTDMNCa0dpEBOSh0FvHzMi58APCOI2oKgS0ZogItVZQobWGBLgbIoqHEAQqwmK5pNaKmaFJEQSPgAhKKSwOjOSSIMAj0KT0ZtSSab2z6drXP4JHnPvrbN16GFcQ/h2XX3ZJvPG3n8b3/mk/EUF4cMe7nMLd7/t0Sh1YEf4VcuHeXfHp97+E2WzGuFxShwEPWCwX5FxorbGpTZ1aC906OWfcnVoq+/fvp9YBEcHMMHNIQimVxWLJDwg5J1SV/fv3s7ZlK0TQpoaZg4J1I8JJKSMokgTrBqKklBjHkfAAhTAHEXLOCDC1jpsDggiklNBcmNoEEaSUiAgQVgQ353pH3JiHPu5ZHHro9biC8CP8yTtfG5/71AfZFBGUXOjWuONd7sQZ9386ORdWhH9BLlzfFX/x3hcTCDlnUkpsLDYoubCpW6eUgnUDAbdARUCU3hsRQUoJM8cDgiDljJkholg3zAIRcA8ggABRujkiwmwYmNoEAbkU2tRovSEiBKCAuxOAu5NTQUQwd0opTONIypmsiY3lEhXBWRG+T0TY5Oagwm1ufyfOfMCTWFvbyhWEH+HLX/xCvPmVzwZVFEFTovdOKQVz56Q7352fP+vJrAj/gly4d3ec/97fBBFSTrg7vXVAiXAQIdxJKSEiGIGI0FqDAE2JTa11IoJcCn3qdDNKzpg5KSmtddwDVcE80KSMy4lhNmDdyDlh5jTrJBVa6wzDgFswTROIoKqoKiCEwDSOgJByIqdMuINA7wYKKoqZ4e6klDj82tfmrmc+gtuceDo/RPgRWpviD1/9y1z8pYtRVdydnDOtN2azOW5GBDzo0U9gx/H3ZkX4IbJvfVd86v0vIWmi9Y6bsUlE6b1Th8rGxpI6FHo3Sq2YORFB0sRynAgPai1064zjiIiSU8GsI6rklDF33I2UMhaOmzONI8Mww8Mwc1QV1YSKsBxHSqm4OeGOhSOqiAqCYm6ICG1qaFI2RQQRQa2VqU2ICIRwo6OO5rTT78FNtt+DOsy4gvBj+tyn3hEfes87EDYJvTdEhKQJVaF1A4KhDjzhGS/h2tc9mhXhCrJvfVd8/J2/TgApJcKDOgyM44S7ExEgQiD8QBARgFDrwHI50qYJBEqpTK2hqghCypnFYkEpFU1CuKMp0aaGqOJmgBDuBCCiuDk5Z5bLJSVnLAJNifBg6hMqirmRcyalhKoSEbg7EUFvnWsdfji32H47jr7JMdzg6OM5/LpHIyL8EOHH9N3vfCN+/6W/xDiNuDtJE+ZGyolxOVJqRQjCgwi41fHH8+DHvABZ4Qqyb31XfOydL0QA1URrHUmKR2DuhDsRgaCoZtAg3AkPujkiQrdORFBKxbpRSqH1ziZ3p3cn54S7k1QxDwRBBBBFCNyDTSIKBGYGIvQwkibcHFGhtcZsNqO1RkSQc6a1Rq0VEMyM613vhjzxV16NiPBDhJ/Cf3/zC2LnX3+eHwiSZqY2MQwD0zShSUmaICCAcOMXz3sGN7nlXVgRVmTf+q744FtewNp8TkSwXE4QRi6F3jsiyoH9G2zbdgitTTiwbdshHLLtMMwMj0BFEYTeO7VWzIxunU2qyvcFOMFQKxuLiZwSrXdySjR3SkrgToiAO53gku98k3GayDljZmxydyICVUU1ER603qil4BGICiqJc5/5Ug6/zjGsCD+lfXs+E29//YsY6sCBAweYzeZY75gbCNRSaa0hgEeQUsLM2L7j5jz08S9DVliRveu74mPvfDEICEprDTcnl4y7IwLmYO4IgoVxvwedyS1v/ziubBd84dP88VteRkQQEZgZKRUinKSJ5bik1kJrnZwzrTVUBdXEve7/WE65631YEX4K47iIP3zlU/jGN76DqiIihDvdDA9nNgyIJBaLDSKclAsCeARJE4972gs44sa3YUVk7/qu+PBbXkhEkFJiXC7IQ6X3jogiIuScGccJdweB+z/kHhx7+yfxQ4SDLzYOXM4r/+s5TFNDRAggqTKOE8NQmaYJVcHcKKVgPYAgp8T222znrEe/kBXhp3D+R98cH/vge+m9U2ultcYwDIzjSEqJTRGBiACCqhAR9NYwd37mjHtxxv2fworI3vVd8advexHmjgDTNJFLIdxBBDfDI0iaaL0jAvd78N3ZfvJ5rAhXrnjDbz2Nr331YkSETRGBiADBJndHRNmUUsLdEVVKzjz1ua9nvraNFeEn9IG3vCg+8+nzyTmzycMpuTCOIzllunVSSiD8QATuQUqJiOCwww7jqc99I5qSyN71XfHht/4GIoK5EwFuhoUjQM6Z8MA9aK0RwP0fdg92nHweK8KV7BMfek188s8+jIrSW8dxVBIQ5JTwAFXBzBARIACh987Z5/wqtzrhzqwIPyEzi4+867f47GfOx8wQEUSElJTWOr13cs6oKuFOShlzY5OIIKo84Zd/gxseuR3Zu74r3vfG5+HhEIGIEgEpJQgwczyCnBKqytQaD3z4Pdh+4rmsCFeyfXs/HW9/7W+yKafE1BpEYOHkXFBRxnFJTolcKm4dEcEjuP3Jd+a+j/i/WBF+cmHWefcfPo89f7sLEUUEIgLrRh0KvRsRgaqyKaWMm+FhqCYe8LBzuO0d7oPs3bMz3vMHz+MHBBFAFAg8gk29d2qthDvdnQeefQY7TjqXFeFKtv/yy+KVv/ZYltPEbBiIcCJgHEeSJjQpZsYwVKapkXKi9w4BhxxyCE957h9QyiD8dOKS73yD17/0aYzjCCKIgHVDVMi54O703hEEj6CUTO9GTonTTr8Xp9/nCcjePbvivW98AeGOiGBmaMlscnfcHXODAEEwN85+1M+x/aRzWRGufPGmVz6Fr3zpYlSVIMiaQAW3AIJ/1nsDhJQUEFQTv3ju07nxzU5lRfjpxCf+5FX8xcc/DgG5ZMZxJOeEe+DmpJwQwCMQEXrv1Fo59rhb8+DHvQBZ37Mz3vvGF4BDN0MVPAJUEBEEYdM4jpRSCOCss89gx0nnsiJcBc7/szfGx/7H+xEBEcHMcHc0JQjHPai1YmYQkHKitYaocsqpd+HnHvKfWRF+Sl/ee3780Wtfhqrg7qgqvXdKKfTeERFEFQW6dUAQUW5685vwyPNejqzv2Rlve82zgWA2mzFNE5uGOrBYLsg507uRkgKKe+ehj7w32098EivCVeDL+74Q/+21z6f3TikVEWhtQjQhQETg4WTNaFLa1PBwIoKt27bxtOe+ntl8q/BTuvgre+PNr3omBPTeGWYD0zgioogIqoq7k1IiPNCkhDvXvu7hnPurf4Cs79kZ73r9c4kINokq1jspJUDo1lFRkiY8HHfjIY+4F7c6+VxWhKvANC3jt5//WDYWG+RccDciAndHk2LdEQnMHBElJcXDEQR35yGP+U/c+nb3ZEX4KfzdVy6IN7/qOZgZZsYwVFrrDHXA3DAzRIXeOrVUPBx358gb3ZAn/MrrkPU9O+Mdr3sO7qCqiEAQbBKE3htb1rayWC5BIKnwoLPPYPtJ57IiXEXe9+bnx19//vOICLVWxuUIAiVnzJ2UEtM0oarknBERNCnTOHGzm9+SRz75JawIP4UL93wi3vr7r8DNKaWgIrTeEVFSUtyd1hoiggjUOjBNIze7+TE86j+9Ctm7Z1e86w+eR0QQEdQ60HvDzMg501ojpYR1AxE0KWc97O7sOPk8VoSryN6//pN411vegJmhqpg7EYEKK0IphdYaZkbOhZwTvXcgcA8e97RXcNRNbsqK8BP65Ad+Pz7x8Q/i7uSSadOEasK6McwG3IwA3J2IYDab09rIjtvejgc95vnI+p6d8dbXPJucMhGOqgBCmxqalCDorVNyARFyTjzwYXfnViedy4pwFbn0n74Rv/VrT0Ii8IDeG7VWeu/knIkICFBVVIXWO0kTHo6ocNIpp/LzD/sVVoSfwDQu4lUvfAKXXXopKSU2RQRmhqoiIqgqBIgKZoaI0HvnZ848k5/9+Scj63t2xlt+91cptWBmlFwIgmmcKKVgZogKbZwYZjPGceThj/55dpx8HivCVSf+6NW/whcvXMfdUU3krCDCuBxJKbHJzciloKq4O6qCe5BS4vG//Jtc/4ibsyL8mD79P98VH3z3m9k0DJWpTQiCiJBSwt3JOdNbQ1NCRLBuBMEDH34Ox9/hfsj6np3x3179TCKCXDIiQps6pRQQcOvklHFAABHhrIefwY6TzmVFuAp94a/eH+9842uYz2eYBd06tRbCHRFFVZnahHugIogIEUFKiYjg2B3beeg5v4GIsCL8CF++cE+8/fXPxczZtFgsyLkgCkkTrTdKLoQ7rXdSSpgZs/mc3jtPfPqLuOGNtiPre3bG21/7HEQEVcXcEATzjkpGVbBu5JKIAFXlrLPvwfYTn8SKcBXaOPC9+J0XPolxHIGgtY67k3Ki5IKZoZoIHAIQoU2NiKCWjANn3vehnHr62VxB+Ddc/OXPx7vf8HI2NjYIDxBwd0QEs04pld4687UZrXWCgIDeO6UU1ras8UvPfzMpZWR9z85422ueTUoJM8M9qDVj7oRDSkLvRkqJbsZQBx7w0J9lx8nnsiJcxf70vS+P/+eTfw6iqAhmHU0JMwcCAoZhYJomVJXwwHFqrfTWEVHuff97s+Oks1lb28qK8EMuv+y78emPfpDPnP9exmkk50xEoCmhImxyc4JAREgpYd0IAg+n5ELvjdPuenfOOOtprIis79kZb/29ZxER5JQJglIKrTU2uTsiwiYRAYIHP+JMdpx8HivCVezrX70oXvuyp5OSIiKklOjWUVEigtYapRQE6L0jqhCAQOudLfMtLJYbbDvkMI692Q6uc8Nj2HL4YWxccilf+9o+LrroC/Ru9N5JKQHCJhFwN1LKWO+UWlksFpRc0KxYNzQpBEzTyOOf8l855tiTWBFZ37Mz3vqaZ6GqCIKbgwSqid47CBCQUmKTJuXBD78n2098EivCVS8+8Jb/wuc+8wVEIefCNE7UWtjkbqSUGccRM6fWgpvT3Sg5kXMhIiACM8Mj8HByypRSEIFpbJgbORfCHQQiAk1KEqX1TskZc2eTiLJJgKlNXP+GR3DuM3+PlDIrIut7dsZbf/dZzOYzIBinCevGMAy4OaLCYrHBfL6GuxMRPOxR92b7iU9iRbgafO1Le+KNr342EYG74+7knDEzSslEgFkHBBHB3RERRJWkShAQMI4jOWfcnYggAmotRAQRgaiiIkN2HawAAAVoSURBVMxmAxsHNqjDwDRNuDualFoGxnGJihABqoJHcJ+zzuPEu9yTFWFF1vfsjHf+/nOJcHLOmDlBsElFUVWSKlNrRAQRwcMedW+Ou/1/ZEW4esSfvucVnP+Jj1JrpbVGrZWpTRBBzoXeO5oSpRTaNLEpwgEhIiilEuGYOZqUcCenhLsjqogI3QzcSTkjAuFB7x1EGIaBCGeaGhFBKYWI4JBDr8WTnvlqhmHOirAi63t2xjtf/1zCHE2JcTmSa4EI/pmqEgHmnaSJBz38DHacfB4rwtXke9/9x/iDlz+V/QeWmHdUFNVEuJNLZpom3IOcExFOa53ZMMPcCHcCEBFSSrgZmhJEsMkJwgMRwcwopdBaZ742Y7lYknLCzEmqRAQI3ycI93/EEzn+pHtzBWFF1vfsjLe/9jmoKiLCpjZOoIKI4GYggori7iDw0Efei1uf8mRWhKtPXPD5/8G73/L7uBnuzqZcMirKNE5sqrMB6x13R1Mi3BBR3J2UFPdAVYkIuhnCiggC9N6pdSDCiQhUFXNHAHNHRVAVRJQIZ8ettvOgx78YVWVFuIKs79kZb3vNsyFAkpA1s1gsyCVjvSOaEIGcMuaGu/PQ/3Avbn2HJ7MiXI1i5UPveTGf/eSnGaeJWivdjKSKiODupJQIdzQleu+UUkCEaRqptbLJzTAPBFBV3B1BQPi+cEdTQkRQVcZpgnBEE4oQBIcdeiiPftqLOPzaR3EF4QqyvmdnvON1zwEE94AILJyhVqapkZISARHObDaj985ZZ5/BjpPPZUW4mi02DsSbXvWf+cdvfhNBcJxwR0QxM1JKmBmlFCICCKbWGOoMs46qoJro3TAzSk4EoEkJD3o3ckm4OSJCRODu1Fqw7ng4KSkPf8IzuMX207iC8ENkfc/OeOvvPouUE5vCgzpUeu9EQBBYa5RaMTfCg4c+8l7sOPk8VoSrX3z3km/x39/wHP7+779FzonWO+FBzpmIIKWEdcPD+T4RclLMnJQSm3LOTOOEu6NJiYBaC+5GBKgq0zQhCCklRCACzJ17n/UI7njXh3AF4V+Q9Qt2xjte919IOWFmuBs5ZVrvpJwgBHcjIggCM+MRv/gL7DjlPFaEa4a45Ntf5W2vez7f+fZ3gWBTRCCq5JSICNwcd0eSEu54OCUXeu/UUtGkjONI7x1VRVVRVXrvaFJqqSyXS+pQmcaRYZhzt597OHf52QdyBeFfIesX7Iy3ve7ZCAICEkLgmDkiwqZaK5t676gqD3jo3bnNHZ7MinDNEd+95Ju8/62/wVe+eDEpJcyMlJRuhiDUWmlTY5gPbGxsgIMmIeeCmSEipJQIgk3WjQjHPcg5s8k9EAlyLvz8Q57I7U65J1cQ/g1yySXfiot2/yVuDdGCiBDeiOhomhERgPD/igU3veXNuN4Rp7AiXLPEcrnBh9/zWnZ//nwQMDPcDETYVGultw4CKsImcyflBA7NGjllckp0MyLArANC741hNnDTW9yC03/hPI486hiuIPw7JCJYCX5ywjVTsPLFfX/N+R96E1/60pcptZJTYjkuEYRNJRcQMOuYOaUUrHdQQULQrCRVWuuUUhjHkVtu38HtT7s/x+04BRHhCsKPIBHB/6bCrPPVi87nM5/8KF/+4j6mNuHmbJrP54zjiIigSSEEEaH1CRUlIhBNHH744dzmxLty3G3uzA2OvBk/RPgxSUTwv7HgCt/9zj/w1S99gW9+dRdf+dKXuPTSy1hsbCCimHWGYWC+tsbali0cedSNud4R2znqZju4/g1vSsqZHyL8hCQi+D9E8EPG5YI2bjAuRkSEYeuMkteow8C/Qvj/QSKC/4MF/1/CQfa/AHEPT5lTSc9XAAAAAElFTkSuQmCC"},{"id":"38e25fd2-12d6-4d6f-93d9-a643ad840c58","height":19.02,"width":35.89,"perimeter":134.83,"area":314.58,"image":"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"},{"id":"aec064d9-7ec1-4c7c-bbd5-6cc9fb83ebc7","height":19.02,"width":17.41,"perimeter":116.35,"area":210.61,"image":"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"},{"id":"366aa298-24d5-4eca-9342-6b00d834eb5b","height":20.09,"width":19.29,"perimeter":102.66,"area":183.57,"image":"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"},{"id":"22efee64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06:48:14"} 
[2026-01-29 06:48:14] local.INFO: Number of letters detected {"data":{"noOfLetters":8},"timestamp":"2026-01-29 06:48:14"} 
[2026-01-29 06:48:14] local.INFO: Perimeter calculated {"data":{"exactPerimeterSum":665.1099999999999,"perimeter_in_feet":55.43},"timestamp":"2026-01-29 06:48:14"} 
[2026-01-29 06:48:14] local.INFO: Actual filled area sum calculated {"data":{"actualFilledAreas":[305.0,314.58,116.3,210.61,183.57,54.03,41.72,31.5],"actualFilledAreaSum":1257.31},"timestamp":"2026-01-29 06:48:14"} 
[2026-01-29 06:48:14] local.INFO: Occupied area calculated {"data":{"conversionFactor":0.00694444,"occupiedArea":8.73},"timestamp":"2026-01-29 06:48:14"} 
[2026-01-29 06:48:14] local.INFO: Average character height calculated {"data":{"avgCharHeight":15.47},"timestamp":"2026-01-29 06:48:14"} 
[2026-01-29 06:48:14] local.INFO: Original image dimensions and ratio {"data":{"originalWidth":452,"originalHeight":122,"ratio":3.7049180327868854},"timestamp":"2026-01-29 06:48:14"} 
[2026-01-29 06:48:14] local.INFO: Calculated sign dimensions {"data":{"widthOfSign":"120","otherDimensionOfSign":32.39},"timestamp":"2026-01-29 06:48:14"} 
[2026-01-29 06:48:14] local.INFO: Image to Text processing completed 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sCIcRHLh3t1xwcdfSTdjvjZnsbFBIMxncxaLBcNsoLfOP3MPbnDjI7n+0deByZFBEFUE8AhUtmKLDnUDUSUWgfZrwZbCtOsb6BECWeEyR45S4h8CbhDEfkiHJvwSx7/hyA0F+6dAtwnTCIs1Z1o0Dlx6Kd/6xtfZ2FjgHuScaa2hSSEgEHozPAwzo5ZKAO6ORUAE7k5KinUnpUzKiVNPO5M7nvloVoSDTC7cuzt2fvS3IQLNCRXBzFFNuDsRTvADSRPLcaLWyjQ1IhwRRUQRFfDACfDA3ImAYRhYLBYggrvTemdtPmdjsUGtFRFhmhrT1Ni6ZQu9d8ZxJNdK74Ym5QeE3jtDHWitYWaYBSJC7x0QzI2cMkFgZmhS3APVhJkhIpgZApg7wzAAwmxW+MWnvoJth16HFeFHcDM0JX5ccuHeXfGFj7wSx5GUsN5xd0op9N5xcw459FD2799Pb42UCiln3DrugYgAgrkTHogqi8WCYaj0bgy1gsBiMaKquDt1GGjTSC6F/ZfvZ5jNmFpjU86ZaZoQTYzLJbP5nGlqzGZzlssFgpBzpfdGRJBLpk0NSUprHdVETpnuRhKl9Ya7k1KCgO4dQhAg58w0NU6/33/k1LueyRWEf4eZ8c43/Bq3vv1J3ObE+wQ/IPw75KJ9u+OCP/89FosFpRRSKoQby3HJ2toal116gNlsYJomUkqICNM0Ye7klMi50LshCIZjboQ71p1SC9acnDOi0KaOuxMERBDAMMxoZozjRETgEcyGGVPrLBcLcs6IKCICBOaOpoyZEe4gQgC1VMZxgZujOTHUGW1qmBu9G7UUzA0zRxDcnFILx97mOO77iBegqqwIP8IX/ur98b63vIGI4JS73IMz7/8kUsqsCP8GuXDvrvjch15GHQbcjE1uwdQ6qgoRTK1ThkpvnVorEUGEs7GxYD6fsxyXCEKtA+M4QgTDMNCa0dpEBOSh0FvHzMi58APCOI2oKgS0ZogItVZQobWGBLgbIoqHEAQqwmK5pNaKmaFJEQSPgAhKKSwOjOSSIMAj0KT0ZtSSab2z6drXP4JHnPvrbN16GFcQ/h2XX3ZJvPG3n8b3/mk/EUF4cMe7nMLd7/t0Sh1YEf4VcuHeXfHp97+E2WzGuFxShwEPWCwX5FxorbGpTZ1aC906OWfcnVoq+/fvp9YBEcHMMHNIQimVxWLJDwg5J1SV/fv3s7ZlK0TQpoaZg4J1I8JJKSMokgTrBqKklBjHkfAAhTAHEXLOCDC1jpsDggiklNBcmNoEEaSUiAgQVgQ353pH3JiHPu5ZHHro9biC8CP8yTtfG5/71AfZFBGUXOjWuONd7sQZ9386ORdWhH9BLlzfFX/x3hcTCDlnUkpsLDYoubCpW6eUgnUDAbdARUCU3hsRQUoJM8cDgiDljJkholg3zAIRcA8ggABRujkiwmwYmNoEAbkU2tRovSEiBKCAuxOAu5NTQUQwd0opTONIypmsiY3lEhXBWRG+T0TY5Oagwm1ufyfOfMCTWFvbyhWEH+HLX/xCvPmVzwZVFEFTovdOKQVz56Q7352fP+vJrAj/gly4d3ec/97fBBFSTrg7vXVAiXAQIdxJKSEiGIGI0FqDAE2JTa11IoJcCn3qdDNKzpg5KSmtddwDVcE80KSMy4lhNmDdyDlh5jTrJBVa6wzDgFswTROIoKqoKiCEwDSOgJByIqdMuINA7wYKKoqZ4e6klDj82tfmrmc+gtuceDo/RPgRWpviD1/9y1z8pYtRVdydnDOtN2azOW5GBDzo0U9gx/H3ZkX4IbJvfVd86v0vIWmi9Y6bsUlE6b1Th8rGxpI6FHo3Sq2YORFB0sRynAgPai1064zjiIiSU8GsI6rklDF33I2UMhaOmzONI8Mww8Mwc1QV1YSKsBxHSqm4OeGOhSOqiAqCYm6ICG1qaFI2RQQRQa2VqU2ICIRwo6OO5rTT78FNtt+DOsy4gvBj+tyn3hEfes87EDYJvTdEhKQJVaF1A4KhDjzhGS/h2tc9mhXhCrJvfVd8/J2/TgApJcKDOgyM44S7ExEgQiD8QBARgFDrwHI50qYJBEqpTK2hqghCypnFYkEpFU1CuKMp0aaGqOJmgBDuBCCiuDk5Z5bLJSVnLAJNifBg6hMqirmRcyalhKoSEbg7EUFvnWsdfji32H47jr7JMdzg6OM5/LpHIyL8EOHH9N3vfCN+/6W/xDiNuDtJE+ZGyolxOVJqRQjCgwi41fHH8+DHvABZ4Qqyb31XfOydL0QA1URrHUmKR2DuhDsRgaCoZtAg3AkPujkiQrdORFBKxbpRSqH1ziZ3p3cn54S7k1QxDwRBBBBFCNyDTSIKBGYGIvQwkibcHFGhtcZsNqO1RkSQc6a1Rq0VEMyM613vhjzxV16NiPBDhJ/Cf3/zC2LnX3+eHwiSZqY2MQwD0zShSUmaICCAcOMXz3sGN7nlXVgRVmTf+q744FtewNp8TkSwXE4QRi6F3jsiyoH9G2zbdgitTTiwbdshHLLtMMwMj0BFEYTeO7VWzIxunU2qyvcFOMFQKxuLiZwSrXdySjR3SkrgToiAO53gku98k3GayDljZmxydyICVUU1ER603qil4BGICiqJc5/5Ug6/zjGsCD+lfXs+E29//YsY6sCBAweYzeZY75gbCNRSaa0hgEeQUsLM2L7j5jz08S9DVliRveu74mPvfDEICEprDTcnl4y7IwLmYO4IgoVxvwedyS1v/ziubBd84dP88VteRkQQEZgZKRUinKSJ5bik1kJrnZwzrTVUBdXEve7/WE65631YEX4K47iIP3zlU/jGN76DqiIihDvdDA9nNgyIJBaLDSKclAsCeARJE4972gs44sa3YUVk7/qu+PBbXkhEkFJiXC7IQ6X3jogiIuScGccJdweB+z/kHhx7+yfxQ4SDLzYOXM4r/+s5TFNDRAggqTKOE8NQmaYJVcHcKKVgPYAgp8T222znrEe/kBXhp3D+R98cH/vge+m9U2ultcYwDIzjSEqJTRGBiACCqhAR9NYwd37mjHtxxv2fworI3vVd8advexHmjgDTNJFLIdxBBDfDI0iaaL0jAvd78N3ZfvJ5rAhXrnjDbz2Nr331YkSETRGBiADBJndHRNmUUsLdEVVKzjz1ua9nvraNFeEn9IG3vCg+8+nzyTmzycMpuTCOIzllunVSSiD8QATuQUqJiOCwww7jqc99I5qSyN71XfHht/4GIoK5EwFuhoUjQM6Z8MA9aK0RwP0fdg92nHweK8KV7BMfek188s8+jIrSW8dxVBIQ5JTwAFXBzBARIACh987Z5/wqtzrhzqwIPyEzi4+867f47GfOx8wQEUSElJTWOr13cs6oKuFOShlzY5OIIKo84Zd/gxseuR3Zu74r3vfG5+HhEIGIEgEpJQgwczyCnBKqytQaD3z4Pdh+4rmsCFeyfXs/HW9/7W+yKafE1BpEYOHkXFBRxnFJTolcKm4dEcEjuP3Jd+a+j/i/WBF+cmHWefcfPo89f7sLEUUEIgLrRh0KvRsRgaqyKaWMm+FhqCYe8LBzuO0d7oPs3bMz3vMHz+MHBBFAFAg8gk29d2qthDvdnQeefQY7TjqXFeFKtv/yy+KVv/ZYltPEbBiIcCJgHEeSJjQpZsYwVKapkXKi9w4BhxxyCE957h9QyiD8dOKS73yD17/0aYzjCCKIgHVDVMi54O703hEEj6CUTO9GTonTTr8Xp9/nCcjePbvivW98AeGOiGBmaMlscnfcHXODAEEwN85+1M+x/aRzWRGufPGmVz6Fr3zpYlSVIMiaQAW3AIJ/1nsDhJQUEFQTv3ju07nxzU5lRfjpxCf+5FX8xcc/DgG5ZMZxJOeEe+DmpJwQwCMQEXrv1Fo59rhb8+DHvQBZ37Mz3vvGF4BDN0MVPAJUEBEEYdM4jpRSCOCss89gx0nnsiJcBc7/szfGx/7H+xEBEcHMcHc0JQjHPai1YmYQkHKitYaocsqpd+HnHvKfWRF+Sl/ee3780Wtfhqrg7qgqvXdKKfTeERFEFQW6dUAQUW5685vwyPNejqzv2Rlve82zgWA2mzFNE5uGOrBYLsg507uRkgKKe+ehj7w32098EivCVeDL+74Q/+21z6f3TikVEWhtQjQhQETg4WTNaFLa1PBwIoKt27bxtOe+ntl8q/BTuvgre+PNr3omBPTeGWYD0zgioogIqoq7k1IiPNCkhDvXvu7hnPurf4Cs79kZ73r9c4kINokq1jspJUDo1lFRkiY8HHfjIY+4F7c6+VxWhKvANC3jt5//WDYWG+RccDciAndHk2LdEQnMHBElJcXDEQR35yGP+U/c+nb3ZEX4KfzdVy6IN7/qOZgZZsYwVFrrDHXA3DAzRIXeOrVUPBx358gb3ZAn/MrrkPU9O+Mdr3sO7qCqiEAQbBKE3htb1rayWC5BIKnwoLPPYPtJ57IiXEXe9+bnx19//vOICLVWxuUIAiVnzJ2UEtM0oarknBERNCnTOHGzm9+SRz75JawIP4UL93wi3vr7r8DNKaWgIrTeEVFSUtyd1hoiggjUOjBNIze7+TE86j+9Ctm7Z1e86w+eR0QQEdQ60HvDzMg501ojpYR1AxE0KWc97O7sOPk8VoSryN6//pN411vegJmhqpg7EYEKK0IphdYaZkbOhZwTvXcgcA8e97RXcNRNbsqK8BP65Ad+Pz7x8Q/i7uSSadOEasK6McwG3IwA3J2IYDab09rIjtvejgc95vnI+p6d8dbXPJucMhGOqgBCmxqalCDorVNyARFyTjzwYXfnViedy4pwFbn0n74Rv/VrT0Ii8IDeG7VWeu/knIkICFBVVIXWO0kTHo6ocNIpp/LzD/sVVoSfwDQu4lUvfAKXXXopKSU2RQRmhqoiIqgqBIgKZoaI0HvnZ848k5/9+Scj63t2xlt+91cptWBmlFwIgmmcKKVgZogKbZwYZjPGceThj/55dpx8HivCVSf+6NW/whcvXMfdUU3krCDCuBxJKbHJzciloKq4O6qCe5BS4vG//Jtc/4ibsyL8mD79P98VH3z3m9k0DJWpTQiCiJBSwt3JOdNbQ1NCRLBuBMEDH34Ox9/hfsj6np3x3179TCKCXDIiQps6pRQQcOvklHFAABHhrIefwY6TzmVFuAp94a/eH+9842uYz2eYBd06tRbCHRFFVZnahHugIogIEUFKiYjg2B3beeg5v4GIsCL8CF++cE+8/fXPxczZtFgsyLkgCkkTrTdKLoQ7rXdSSpgZs/mc3jtPfPqLuOGNtiPre3bG21/7HEQEVcXcEATzjkpGVbBu5JKIAFXlrLPvwfYTn8SKcBXaOPC9+J0XPolxHIGgtY67k3Ki5IKZoZoIHAIQoU2NiKCWjANn3vehnHr62VxB+Ddc/OXPx7vf8HI2NjYIDxBwd0QEs04pld4687UZrXWCgIDeO6UU1ras8UvPfzMpZWR9z85422ueTUoJM8M9qDVj7oRDSkLvRkqJbsZQBx7w0J9lx8nnsiJcxf70vS+P/+eTfw6iqAhmHU0JMwcCAoZhYJomVJXwwHFqrfTWEVHuff97s+Oks1lb28qK8EMuv+y78emPfpDPnP9exmkk50xEoCmhImxyc4JAREgpYd0IAg+n5ELvjdPuenfOOOtprIis79kZb/29ZxER5JQJglIKrTU2uTsiwiYRAYIHP+JMdpx8HivCVezrX70oXvuyp5OSIiKklOjWUVEigtYapRQE6L0jqhCAQOudLfMtLJYbbDvkMI692Q6uc8Nj2HL4YWxccilf+9o+LrroC/Ru9N5JKQHCJhFwN1LKWO+UWlksFpRc0KxYNzQpBEzTyOOf8l855tiTWBFZ37Mz3vqaZ6GqCIKbgwSqid47CBCQUmKTJuXBD78n2098EivCVS8+8Jb/wuc+8wVEIefCNE7UWtjkbqSUGccRM6fWgpvT3Sg5kXMhIiACM8Mj8HByypRSEIFpbJgbORfCHQQiAk1KEqX1TskZc2eTiLJJgKlNXP+GR3DuM3+PlDIrIut7dsZbf/dZzOYzIBinCevGMAy4OaLCYrHBfL6GuxMRPOxR92b7iU9iRbgafO1Le+KNr342EYG74+7knDEzSslEgFkHBBHB3RERRJWkShAQMI4jOWfcnYggAmotRAQRgaiiIkN2HawAAAVoSURBVMxmAxsHNqjDwDRNuDualFoGxnGJihABqoJHcJ+zzuPEu9yTFWFF1vfsjHf+/nOJcHLOmDlBsElFUVWSKlNrRAQRwcMedW+Ou/1/ZEW4esSfvucVnP+Jj1JrpbVGrZWpTRBBzoXeO5oSpRTaNLEpwgEhIiilEuGYOZqUcCenhLsjqogI3QzcSTkjAuFB7x1EGIaBCGeaGhFBKYWI4JBDr8WTnvlqhmHOirAi63t2xjtf/1zCHE2JcTmSa4EI/pmqEgHmnaSJBz38DHacfB4rwtXke9/9x/iDlz+V/QeWmHdUFNVEuJNLZpom3IOcExFOa53ZMMPcCHcCEBFSSrgZmhJEsMkJwgMRwcwopdBaZ742Y7lYknLCzEmqRAQI3ycI93/EEzn+pHtzBWFF1vfsjLe/9jmoKiLCpjZOoIKI4GYggori7iDw0Efei1uf8mRWhKtPXPD5/8G73/L7uBnuzqZcMirKNE5sqrMB6x13R1Mi3BBR3J2UFPdAVYkIuhnCiggC9N6pdSDCiQhUFXNHAHNHRVAVRJQIZ8ettvOgx78YVWVFuIKs79kZb3vNsyFAkpA1s1gsyCVjvSOaEIGcMuaGu/PQ/3Avbn2HJ7MiXI1i5UPveTGf/eSnGaeJWivdjKSKiODupJQIdzQleu+UUkCEaRqptbLJzTAPBFBV3B1BQPi+cEdTQkRQVcZpgnBEE4oQBIcdeiiPftqLOPzaR3EF4QqyvmdnvON1zwEE94AILJyhVqapkZISARHObDaj985ZZ5/BjpPPZUW4mi02DsSbXvWf+cdvfhNBcJxwR0QxM1JKmBmlFCICCKbWGOoMs46qoJro3TAzSk4EoEkJD3o3ckm4OSJCRODu1Fqw7ng4KSkPf8IzuMX207iC8ENkfc/OeOvvPouUE5vCgzpUeu9EQBBYa5RaMTfCg4c+8l7sOPk8VoSrX3z3km/x39/wHP7+779FzonWO+FBzpmIIKWEdcPD+T4RclLMnJQSm3LOTOOEu6NJiYBaC+5GBKgq0zQhCCklRCACzJ17n/UI7njXh3AF4V+Q9Qt2xjte919IOWFmuBs5ZVrvpJwgBHcjIggCM+MRv/gL7DjlPFaEa4a45Ntf5W2vez7f+fZ3gWBTRCCq5JSICNwcd0eSEu54OCUXeu/UUtGkjONI7x1VRVVRVXrvaFJqqSyXS+pQmcaRYZhzt597OHf52QdyBeFfIesX7Iy3ve7ZCAICEkLgmDkiwqZaK5t676gqD3jo3bnNHZ7MinDNEd+95Ju8/62/wVe+eDEpJcyMlJRuhiDUWmlTY5gPbGxsgIMmIeeCmSEipJQIgk3WjQjHPcg5s8k9EAlyLvz8Q57I7U65J1cQ/g1yySXfiot2/yVuDdGCiBDeiOhomhERgPD/igU3veXNuN4Rp7AiXLPEcrnBh9/zWnZ//nwQMDPcDETYVGultw4CKsImcyflBA7NGjllckp0MyLArANC741hNnDTW9yC03/hPI486hiuIPw7JCJYCX5ywjVTsPLFfX/N+R96E1/60pcptZJTYjkuEYRNJRcQMOuYOaUUrHdQQULQrCRVWuuUUhjHkVtu38HtT7s/x+04BRHhCsKPIBHB/6bCrPPVi87nM5/8KF/+4j6mNuHmbJrP54zjiIigSSEEEaH1CRUlIhBNHH744dzmxLty3G3uzA2OvBk/RPgxSUTwv7HgCt/9zj/w1S99gW9+dRdf+dKXuPTSy1hsbCCimHWGYWC+tsbali0cedSNud4R2znqZju4/g1vSsqZHyL8hCQi+D9E8EPG5YI2bjAuRkSEYeuMkteow8C/Qvj/QSKC/4MF/1/CQfa/AHEPT5lTSc9XAAAAAElFTkSuQmCC","scaled_width":23.84,"scaled_height":20.09,"exact_perimeter":111.77,"approximate_perimeter":102.87,"convex_hull_perimeter":77.21,"perimeter_pixels":417.28,"approximation_points":12,"original_contour_points":119,"shape_analysis":{"perimeter_to_area_ratio":0.3665,"compactness":0.3068,"aspect_ratio":1.19}},{"index":1,"position":{"x":220,"y":42,"width":134,"height":71},"actual_filled_area":314.58,"bounding_box_area":682,"image_base64":"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tq06Tknvh3rWPr51pNPfKIkgIDcPKLTjSQSoCJlpHZws1ASJJhKbmeA3D0zJJCUUiCBe+//6EMOfyTmrqsoCXNz6zv/3E9+8aNvlrJHDrVKAvmAQx55l3sdjl33vjc99+KLvkVjZJpbRpY6HPcnb9m8ZQt2TmvjSS/8/XFsRvboJI3csHHj8152Ktax9LOtr37JE7y4pIigEYIkMwMgCYAySy1t7F48MwUQIIk1UipJMzIlADRTBsD77P+YQ498FOauqygJc3PrO//cT577sbdE615L3y5LKQcc8ei73utw7Lp3/cWz/+Xbl0oyt+hB2ppnvfitm7dswc5prb3mhKOvvHIbSTMDoNSmzZue97JTsY6ln289+cQn9h5miJSB5oY1BIXMtOJtbGYGgNvBzCKSpDJBCiBgZr0HCTOXksS9H/ToQ498NOauqygJc3Pr+9I/feLzZ74ZkBKSsIZ88BGPvtueR2DXveeNz/3mN78NUkoAEVncn3XC2zZv2YKd09r42pccs7o69t4icjIMkbFx44bnv/xdWMfSz7ee/NInZiRIAqWUcRxJuntkQgmQRoKZSTMpJbk5QUGZWbwI6r17cYWkpG23536POuSIR2LuuoqSMDe3vvP+6RP/7fQ3ufvYRjcHObbxoIcd85t7HYFd966/fPY3v3UpQWXSTMpSh+P+5C2bt2zBzmmtnfSix66urLo7yegdtE2bNjzvZe/EOpZ+tvXklz6RJICIkATA3AlIIimlJJpD4g4AWmteihkzBCgz3Utm0IwgoN77fR/82EOPfDTmrqsoCXNz6/vyP33iMx95S88oXiVFdNAeetRj7rbnYdh17/3r53/jom95cQmZ4V5AHvcnb960eTN2Tm/t9S9/0tLSEkECNBO0adOmZ5/wNqzjyn/72V+84mmz1VUzK1569OJlbCMJo0vp7pFaU9wzE4I5CYsMMwNEs966IDNTiiQgmu35wEcedNjvYe66ipIwN7e+iOi94xeV4u4Fu66NY0r4RZPJBLtiHGcS/ncEhskE65vNZrgGlFLcHXPXVZSEubm5ubldR0mYm5ubm9t1lIS5ubm5uV1HSZibm5ub23WUhLm5ubm5XUdJmJubm5vbdZSEubm5ubldR0mYm5ubm9t1lIRftnGc/ejy7ywvfffHP/zetp9t/bef/+vS8pV9trK6OkaMBEudTAYfJps3b94w3XCDm93ippuHm2659W1ueKNbeamYm5ub+3VASfhlGMfZD77zz5dc9KXLL7v4O5ddNo5jZpZS3D0iJJkZja014xpLCZKZjeM4DENKlCbT6a1ufdu73O0eN7n1b93sVnu4O+bm5uZ+kSQAJPH/N0rC1RDRv3vpV/75vM984+tf+belJUhKJdLNuR1SUKaZKVOAu/feSWakuZGUFBG1lFQazdwjeqZucpMb3+O39r793Q642a1uh1+ec8+5+JtfeQuNSpGEVLyEohRT5mQYMlMglITci6LTzIspZaQkN5p5HUqmMrqbl1ojGgDzkhE0GOk0G0ofRwPMPVNSDtMJiLY6GxYWxtlIaZhOkbHGayENQvbG4sV9edu2YbpAMqJPb3q/e9z7gbhK26784fv/7iRJBCPTjIRJIgEQEHa409322etBD8O12Lcv/MBnPv5ZuitFMqIDcC9ujJS7ZyaA3zn8P930lrfBfyA/2/rTD7/3lRFRvLRoBmINGRFeHCmSmRkRIIs7dnjQIU++9W53wq/Qdy675Asf/9uxjYPXUhzKFjGpw8psZaFOxj7WOkCQIjPNrNbSe6cZIaN1SZHDUCErZYAB4DibESamcgJWKcfZzMxK1cKCCIV+MoXDamIB6tHbwsJkpU02bZxMNm/aML3lppvcaGHzbTZtuZmZ4VeFkvB/ZXn5ygvOP/v8z532kx9tjYhUVi89Ukozi4jJZJoKJUis6a0Pw5BIpFIqXkKZGUMdWmtmFhE0QjCz1lopBSCJO9zxjnfb+/C7/ObeZoar7YzTLvjKfzuhj30yGcaxmRNCHYoyrbibQdtBMvNSSLc2jgvTobc+GSrNAPbeFhamvffqxc3HNk6GEhkLC4ugIjoBgrWWsbWhuLm33t3cqWEYWmsES61jG2spJDPTzHrvk8kkInpr04XpyvKKmQ+TIVOLtz7g/vsfhqu0dMVlJ5/wLClJIxkZRstMo9EJQRKA+z7ooAOPOBbXYheed8r733127520VACYDJNYk0Gy1gqhtfa441612+574D+Qz5z1d5/+6AcjAoSbm9k4jmZGmru11iD06NPptPcOqUW42R3veq/HHvtS/ApdfOHXPvi2E0stUpoRQkpGQpCilJoZw6SmRGA2W920ceNstmq0WoqAYg4IZO/NzCbTSewwqUNm1lpnq7NS3YyttVrrxo0bInN1ZWUYSkbSCIDCZDrZtrxtcTrtvXstFFvvGzde71Z73GnTb9z1pre4R60TXMMoCbtodXXbeZ/7yOfP/uDqbDUzIgMgIIISzNh7L7VCMrPMJKk1meYeEaWU3rrXEj0kFTcBknrvIGqpRrbeAbh7ZpoZyFvvtscBhz78Nrvthavnwx/871/97IlKuXlEN5N7iQwzK8XdqBSJyAAwDNXdoaAwmQwZKYAkoOnCtLc+nUygbL27s/dea11cWBj7SFIRAErx4t57F2DkhsWFleWVYRgEEezRewRpUg5DzUgAqVyYLKQyIkgajcbr3f6gvfY9EFdp6YrLTnrRcSTMjLAenSQA7iBBEKX77HfgwUc9DddiF55/yvvfeXZm0igpMyfDpPUG0kgAs9kMwBOf85rddt8D/1GsbFt64yuO3ba82tpIWiklIt2ZKTMjLSPMrbWxlFLrMJvNJE0m07HNjn32q2526z3wq3LxhV/7x7e9ZBhqb20YBiNns9VSamYIknIymQAo7pHhxuwxDIO5ZwSAzJxOJ7NxNKKUUmsleeW2bdffcj0pxzZmaBhKG8dUDsOQqY0bN7RxJAFD9gRAMjPKGncjIyKVEUFyMp1OSimT4dZ33vNmt99vw8ab4RpDSdhpkr7x9U+d/aF3/+u//kSSmYNak6HWWimFRCllnM1o5u7agWSm3CwiBNVaI6KU0lrrPUpxkgBIRnRzJ0iitV5rlZK0NQBSutde++77O8dc//o3xP+tM0674L9/9sSIDpGUFwcgCZI7i9eIPgxVBJS1FDoUcsKLZ2gYqpn13krxaN1rKW4A6lAj2lAn0ccMeXUCEty8Fo+IWmtrjaRxDSSsoZmUIjKyuAEQRPD/4W69RY9+wzscer8HHYKrtHTFZa9+8TP5v/TeCa4RRELCGpJ77XfgQUc+FddiF335je/5uzONTAiCmZEUBGEcWymuFI3HPPOk3XbfA/9RnPPJ93/8Q+8oxcfZ6KVKaebu1qND6BHuBsHMAEjKSK8FmSnd/bcecNTRz8OvysUXfu0f/vbFbizFzbz3bmalevQYJnVsbToMPcKdRpMSqclk0qNBBmCYDKQI9tbMzc0ys/c2DIOXktFJbtiwYWV1GcDiwuJsdRWAkBTNTcri3iOMbtuxuq+srGzcuCmVK8vLwzBEZnGTMAyT297jPre842ELixtxDaAk7Jwrrvjpp0/7yy+f/9Xo3dbQaACYO5RScgcAmWk0c4tMo0kJMJWQiju4XWb2iKHWsY211IjMDKOl0t1rrT0iepgZiYykURKkG974Rgc/4qm3v+N98X/ljA997cIv/GlEAOi911r5PykBkARRinGNMEyqJEqT6SQiSJBwWkRYKYoAVLyY04wkCGTGZDJZXl4Zah2GQREt+3QyrcV77xLcvEd3894b3d0YEVxjhFRrhbAyW03BzYwspUTElts9dJ8HHYartHTFZSe96DgzI42EMgVIAgkJQGaWUu7zwAMPOvJYXItd+KVT3nPqmRDMDCCJ3ruZ1VJ7RCqKFXM+5mmv2G33PfAfQmuzN/zZH2z96c+MRuOaiIBAI4lMZaa5FS+991qHiE5SyjVevJbh6X908pYb3BK/EhdfdMFpbzvBzNxdEiB3p4FrAALFC0zu3sdmZgsL09YbiQxNJkOPni0n02E2m00n0zGawaSQNBmG3nup1Qw0kBatl2JtbIsbFnuP2WzV3Y2sw1C9ZMbyykqppZYynUwzg+Q4joSBNGP2MLeFTZv2uM/v3ny3PfHLRknYCZde8qUPnvoXP/3pVncH0Ht3t0yRNNKLS4pIbQd3WyPJzDIThFKRWdx7716KkblG6e4EpZRgZtqBRoDKJCkpU1ICqLVCSIV53f+gh93/gEeTxC4647QL/vs5L6nuAiK6FzcaMsyKGYU0g9GorLUaCbKU0nsbppNsPZW1rHE3a73XYRjb6lAqlLW60Xv0Wmvv3ciFybRHy0xBbk5ybN3WiF689z5M6mw2I2lmvfdSS0aasZTaeiPo7gLa2K+/x4H33/8wXKWlKy476UXHkcxMkqWW3jrAUhxQStAa3vdBBx105LG4Frvo/De+/90fb625F0mRAcDNSbr72FpvbZgMR/+nV+62+x74D+H8cz/1oXe/hmTx0nuPTDNGBI0Qaq0SSEjqvZtZKSUipcxUqV7M773XQ37n947Fr8TFF11w5jtfbmYkQuFmJDNzOqmry6sbNm5os3EyHQBmZi1lbKOZTRcmrXVlKlWHkhnV6zDUHjGO4+LCQkoR0fpsYTolkBm1lBSGoc5ms2EYMkJASg5OhsGLtdYA9N5JmhnJzBzqsDKOBJEiUIcKAcbb3vX+e+z5MHPHLw8l4f/ky1/4xzP//l29tx5BkMY2NnNz94gAUEtNhRIwEoAwTCerqytIeHFIdO+tlVLHcebFKaaSpJllJmlmzAjQavXWgkRESIrIUkpG1KECyEyjRWapft9993/wYU93d+yKM0772gWfe2kpJolAb92LExRUitMw1KroENzM3Mw4mU5nq7PiDMHIhekkok2nCy1GoyOTRCprKVJGqLoX99lsVkul0UshEBHurh3MLDMBEGy9LSwu9ja23o2WCqPbGqek1dXZdDLtvd/wTofcb79DcJWWrrjs1S9+pnYgaMUyRKKU0nt398yMiL0POOTgI5+Ka7ELzzvlfad+1Mwig7SMTtoaSdPpJFPLy8skn/Dsk3fbfQ/8+svMv37VMy7//vcACcgeZahIRYYXL16l1A4gAEoq5jRGBgQvRcpS6jNfeMqGjTfENe/iCy84/e0nePFaS2ZOp0P0UIQZASNFmhcD4ObDUNvYem9lzVBXlldqqcNQ1ozj6nQyMa9jW62lhGSgMs3YezdjKSUzzay1XkoxaCi1RR9n42Q6jd5JThcWMsLdx3E0o6RhmPQegCKyFK91uPLKpclk2nvc5s73vNPejyu14peEknCVPveJt5/xgfeWUkBmqlRvY3P33KGWEplu3qMXL4k0Wm+NNHNPJaBS6jjOaqmCCJIYx2bmgCJjqBViKT62TiMkpSKzFAeYyuLeWgPAf2e9NzM342/d7wGHPPw5ZoaddsZpF1x47ssjenGHBMCMZkaDkRRKsZQywosPtdIIISNITqaDka13MgGasZibsdbSWvdSqltEKnMYah97qaVHlFLGNk6GISJ674QBMjN3FxJAZppZpjKylDK20c0FuXlmuntIN9jjwPvvfxiu0tIVl558wnMgpZKkUl48IkgIMBiNgu7zgIcefNTTcC32z196w/vecVapZXV1VtxBk5I7RA9zo5HC0ce9arfd98Cvv4vO/6f3vP3PSCMYGSRL8Yxs0Y2WSiMJ0gyApN578SrI3Vpvk2HSe5A68JCH3/e3j8Y17xsXXfDR9/4pgGKekV4IgEBEmBmoyTAB4WY9wmmZKQjCwsI0MoZax3GkEcje2jCZSmlrwFROhuruvUdEH4aBpJFja+6OVK1FkSlFj4XFhXFskX1hcXF5eWU6mUTGmlrruDrrEQvTSSZaG+tQJ8NkbDMJt7nTve6675PMDL8MlIT1nfvJt5x52ocJSUipuEckicwEYGbaAYCZSZBSUmaWUiTVUjLVo5uZu4/jWGuVMjLdC8GIbmYRUWuNHjRmhpkD6D1ImhFrJJqRTImkuykR0dzKgw489AG/80TstDNPv+CbX3pFRu8RJMzo5nQiYzIMGRHKodTIPp1OM7IUh5AZ7ubFzThbnS0uTjOj1AHKzCBYiksgiTWpWktGkgRQa1mdrU6GiSAleu+SSLobnbPZzGi+xkpk9nFc3LDYWg8lQsNkaL1F6oZ3OHjfAw7DVVq64rKTT3g2kBIASTBaj5BwI7UAACAASURBVO5uZh4R3GGv/Q466MhjcS120Vf+6j1vPcOLz2YjIBDFC8A1EZ1kZrrbMc989W6774Fff29/wx9/86KvAzKzzKxDzUhJBL14RLh7a62WKkKZpVRJPboyax16a4k0sy1brve0P37jdLqIa9g3LrrgjHe9ZHG6ACAie/TpZJIR5hzbuHnzltnqavFCoNTSxhGQmwHMzMVNC9H62BsSCwsTZaZEs4WFhXF1hUREuDth7haRdajjOJZSoncjSylmlpEEUiJpbu62vLwynU5SojAMw2x17NndPCIyc6iDF299dPfW+x3v/pA73u938ctASVjHFz/3jjPe/w+KpDHXKM0sM90dwhqlQJhZ7x0ERRoA9h6LiwutNUkkINCYgjJJAjBzQNulhB0oAMW9tVZKBZCZXAOmUpKZZWattbVWawEIIDNhOOwRT7vXXr+DnXPmaRdceO5LhzpkhqBaCyQCZqylCOrRJ8NgNECQJpNJRGRGrQOo1sZhqE4DkjRlkhiGydjaMFQQq8urC9MJ1kg0S6W7Z2w3nU5n4+hWeu8GeCk0tNZICjI6RRrdixSz2VhLKbUuLV2RtJve+bB9DzgMV+nKpcte9cLjSJCUKCV2qKX26CQj08322u+gg448FtdiF3/lr97/rrMjovdOcjKZjOMIEpDRxnE0Y6ae+OzX7Ha7PfBr7vvfOf9vX/+nrY3FiyQ3b20kjWRkuDvAzCA5DHV1NnPzNfh3IjmOzYtnpoGPesLj7nD3h+Ea9o2LLvj0B/68uNMsoo29LS5syOhOp1GZ5qbMhYWFNjYaIgLkZDJpbRxqXV1dMbOyxl1KQQC4BhAEcKhVQmttMhm8eGttZXmllrq4MM0Mkm1sdKtlSGXrbTqdri4vT6fT2WxWa3X3lZXVYRgys/U+1Bq9mzkNpZQ2tqTu+9vPuPFt74KrjZLw/+Xir33i3X/zOgGQSimttVrrOI51qEqZGYDee6bczc0hhLL3Zv9LZpLUDpnp7iR776TVWjITQCml90ZajyAQmW4maTqd9t6jh7kBiIhhGHrvELyWjCBpZI8+DIMXf8Jx/+Umv7E7dsJZp3/96587wd28OEk34xrICPcCqBQnMdShtQ6kOSEBcnea9dYWFiYQjVSmFQeUkRk5XVxYXVmudSjugEhmJsmUlGnGkJw2GSbLq8ul1Na6MqcLC6vLy7VWCWsigqSUoJHMDAle6/V2f8i+BxyOq7R0xWUnvfiZbgYgejcvUkKimaDMNJqkvfc/5KAjj8W12D9/6Q3vfcdZJJXppZDWe5MAqNbaxrEOVYmjj3vlbrvvgV9z7/mbE7918QURIWUbW51MMgIEyTa2hYWFjIzsAAHUWiMiM0AOpUZEz168mJuEiH7Tm/7Gk5/3l6UUXJO+cdEF/+0fXinlZDodx9lkGCKilqLU4uLCtuVtpJnB3Ns4luIkemQpDrDWsrq6MhkmhMyslNJbgwCzWr33PgyT1ZVl9zqbrW7etHl5ZZtZGYY6Wx0XFyatt2Ey9LEPw7A6rk4n0yu3batDjdY3bNiwbXlbpiaTiSJL8VLKyuoqADPvGdG6mU0XpuM4btpyg/sd+cJaJ7h6KAn/Lz/+0bfe+roXrCwv9x4Aaikp2Q6tdRqUAhSRtVZJANxNQkSYmTJTqnW4wQ1vcNs9bn+TG9/CF29xoxtVtuube0bY9Gc/+cm21Z//6PLvX/bdyy75+c/+LaIPdRAEQFJmGihIghfvvZsZIDMn0Vpz91KKJAIEb3272z76KX/uXvB/cubpF3zzSy+HVGsZSum9AyBZS6HR3ZQJUEovTimlYVqQKMUjekbWWjLT3WodJJGYTobV5ZmZ9egAImMyDO4uqfdevGQkCCslegfUe5RSeg+kJtNJzwDQxtHMIqKUIlqPHhFmTjKlm9zh4P0eciSu0tIVl77mJc+JyMwgaWYgFAJBWiomw9Bav89+Dz3kqKfjWuzC8055z9vPzAz3ooSQEVFr7b2XUqXMCLo94Vkn77b7Hvh19uMfXvymk14wzsZaSmaSiEyCXgxg711SHWpr43Sy0Npo5gDGcTYMg6DqtUcf6tB7MzNJAB71pGNvd+eH4pr0zYsu+NxpJ2fGMFQJUkbvwzCM4+hO96JMc+sRbjZMavQo7uYmaTbOAFT34j62NgyDMty8DpMW3cwITSdDH2N1tlq9hgKgu6+urgCaTqcQvHhmuvtsNiteYGxjq6UktGaYTKL3No611tZaREymC7PZWNyixzAM5tZ73G2fQ297t4Nw9VASftFstvrOv/qj7156aURKILHGjAIhAeAOs9lsYWGaqdaam4OgURKSt9/jdne42z63v9t9b3CjW5LEVcrMH//gW9/82ue+/rVzf3T55b03dwdAwcx69FIryd461hgpgYgId+caYailt37wox5/r/seif+Tsz789W988WXFzAhJ7m7GUoqUBEux3hsE8+1am5nbUAeSPfqkVigF1Fp768NQBRT3ldXlWobW+sbFxcggYWZja8W89V68SBjH2WQyaa2VWjLC3I2czWY0n9RhHMdgSDRjpnrEMEy3bdtmZqW4gJvd+dAHPvgIXKWlKy476UXHmVn0bsUz0owSMoJmpZSUovd9HnzoQUc+FddiF553ynvefqYEM0IKychSSkSYm5tLAvDYp79it933wK+z09/xyvPO/5zWRJZSzGzWRwi1VkmllNZbtCBQhhq9gyzFW29IwGC0NT16oU0m0zaOkm5/h90eceyrzQzXmG9edMHnPnQSSSmHYVhe3jYMQ0Q3czNz99lstVRXqpRCo5v3CEhDLZnd6CIgDcPQWjPS3CDUWlvrk+mwbds2gqXW1ZWV6XS6uLDQeo/WvRrB4mV1tiqpljqbzWqtpIFcWVkxM3crXnpvkTmdTMc2upmgWuo4jr1FqSUzJ5PJ4saN+/zuS0oZcDVQEn7Rp858xyc/8j4BmVlKyUylvHhGCnJ3gqEkYDQpe+/m25nb/fa7713vdcRv3PJO2HWZedklXz7vE6df+M2vrq6sllJJkDRjptaUWnprJCUVL4BIRu+1VJILGxaf/PzXbdh4fVyls06/4F/OexlBQMULSTMr1RVZS3Xn2EaS937Afhuuf3uNHRIEDhXZOamaNZjDkl7UO0KsQ67OWAuy23SqbJBByTrV8rIKWQetzFCdCZhhDYneOZkKQTBXG6Jz4goBWsNSMEZmEiSBatPr3e4mN7sVrtLSFZe98k+eXmrNSKyRaAYgMwGQFJSR+zz40IOPehquxS7+8l+9620fkZSZpXhEllIjQttF2aH3OOaZJ+22+x74tfXTf738r175rDabja15Ke4OiaR2mE4ns9mI7TQMQ+89IswMAiD3khlei1Lb9ahDRcrcM+Mxx77gNnvcG9eYb1x0wec/dFIthUYpZ7PZZDKJ3r1UId05mUz62G58i5tvudmdoW7OUorSzUjTGlohzByQNuQCN654WXED6D/+yaYrtm1bXYW7Dx23uvVNr2hMZTXVCa11TgqIWP7Rv/7oez/9/nfUm5TLs1VAwzCJ1oY6rMxm7mbmmbEwXVhZXZlOJuNspNFoIDOi9bb34U+++a33xtVASfjf/PiH337TSc/PCIC9d3eTEjRCpBGMDHdvvQ116NGzxzCZtNbucOe7/fYRT7jZze+Aq+17l37146edeuklFwNYWFjctm3bMNSIKKWMbSxeihmE2WxWh1qKZwZ3eOhhB99z3yfhKp11+gXfPv/lQ5148bHNaAZpcXGxzVpxgnB3SQf//mO33Gh//FpZuuKyk1/8LEEABEDppUQPM4sMiqkopd7ngQ89+Kin4VrsovNPec/bzzIzAKurq25eitOYKaXohNbg8c969W6774FfW5896y8/fsZHzSwzSWZqzbDD0tKSu5daojUrvqaNLTNJLgzTVCAhaDabufswDDQAiggvJXq/+z3ucujRf4ZrzDcvvuCcf3xVKSbIzdekpEwzH8fZ4uKCF6Nw7/32vOWdn4RrUmb85PILv//1T3/3219bXFyYzcZSfGyNtIiQspQKqUWHkP+DOvgA17Oq8sb9W2vtvZ/3PUkIPXRIMBQBiXSl1wAOxUERxEYvYijqfM6MglhpoYnBcRxUpFpGB4EAUpyxjSVGJCEJRE1UmlLPSc77PnvvtdZ3khmva75r/viHgHjOfaulJtWqNIKZiDbd6nXT9joVLwO5O/6Hb1z3yQW//Hmt1d2JiInUjIhMjZiY2NxUVURCCLVWZu50Onv9zdt22e1wEcErRLUueOAbt3/tm6VkMwNhhJvDwcJkUK1hhASHEzsROXyNNSa8831XdwfG44Xdddu8x+ZfAqDT7bRtNlMmEhF3G+h2SpubgcbMDjz6mIlr74sxZWhw6czzZqhZYAEB7mouwkSoVd1dWBy+2z6HHvLm0zCKLZgz66vX351z7na7quruxOTmcLAw4CHE5cuHT3r/FZOnTMXY9Pzzz3z+4jPbtu+AqYUQVBWgEKTWAoCI3F1NJ02aNGGN9bUagNp//onHfk8ONXN3EWmappQiIsRuZsxsZhLCsad+cqNNp+Iv4+GF835y+8xut9v2+0QYP2HccK8vwqpWa3W3IFJL3fdv9t5wqxPxl+fuv5533y9/8PVacgzR4QBiDLVq0yRVy7kww9TV1MxFglbtdDupGTf9XRcyM1YVuTv+5IlH51575adVKxG1OTMRM2utIUYzlyBalYjcLMZYtZr5GqtPPOwd/2fzqdvgL+DR38371vVXPPPU06ra6XRyzswcQ3B11RJjZGFVBZyZ3T0EOeyY90zd9hC8sLtvn//4/EtKrcQ00O1o1RiDu+ecu92Om6ppDOnAY46ZuPa+GFOGBpdc/tFzHCCHuxOTqopIKSWmaNVCDFXrrnsfesiRp2IUWzj3mluuu6vUwiSdTmNmtdYQgqp2Ok3bZgJA/I73Xjh5ylSMTXN/cO0d37pDVc0txaRVzZWYCEwEYqqlunlq0nEnnbXpFntipWf++OsvXvHh3Pbd4W4pJQmitao5EQhgITMnoh133XG/Iz+Ev4yHF8776e0zU9PA1dyZKOecmkSgmIKNUCulfcOBb9x0m1Pxalm64M7537+91MwsHGR4uNftdmqtatZpml6vL1FUreSSmqTVzL3bDOz91n9cfc1JWFXk7viTb37p47+Y+1MWMTMC3F1EVJWIHA5AWNxdVUXEzCZNWu1tp3xsrbWn4C/mqT8+euv1Fz7xxONWjQEQiJjImNndmckdI4hImNxs6tZbHv6uT+KF3TP7ocfmXQxirZWZUgwsUmtlZtM6btxAP+cYwgFHHz1x7f0wpgwNLr3svLMccDcJodbCLESopYYYggSt1Qk77zn90DefjlFswc9m3XTdncyktYIpSDBzZgJAIDVlJpFw3BkXTp4yFWNQrzf8z5ec/uxzz8O9lBJDBEHVUoqllBCCiDCzma2/wQbvOetKIsKf3P7Vi3/x4x90up1er9ekptYyMDCu1+sxs5mFEABnInd/11lXrDNpQ/wFPLJo/pw7ryil7XY6McY251p1YKBTctvtds0MBAZtv8e0jbc+Ga+iH3575mNLFqhZTJGZq2qtVTiAQEQppV5v2MyJKISoWhnyxsNO2nCznbGqyN2x0pOP//pzF51rbu7OLOYKB60AcxDAxGrKzGYmIk3TvOvMj2+w0Rb4C3vmmSdv/qfznvrjk93YVCvuDkIIwWp1AhN1Ok0tNYioVpC8++zL11pnA7yAe2YvePKhS8DkaurWbTo5t00TJUhuswizBHc/6JhjVltrX4wpQ4NLL/3I+4jI3ZnZVzBmMVUWdoeaCstu+73p4MNPwSi2cM41N153h0iwqgDMrWma3GZidndmMjUWefeMSyZPmYoxaO5PvvWtG64F4G5EBCClZGbubmYhBGISlpzzUce9b5sd98f/8OiSB7589fkhRHdzdyKqWlOMMQRzc7XUpJKLqu66+8F7HX4K/gIWP/zQL+6+otZKDCZRt4HuQCmZ4CnGXIqImNpO++608dYn41X020f+42ffubGUEptIhJxLjMlUcylNk7Sau6em0+/1cqndpqNadzv07ZO33B+ritwdK/3H7f9y/z3fBlBrFRE43L1qHRgYyKUwkVZlYSKKMZZajj3p/Vu8dk+8Kp76w6+/cvVHcr8lQtUaYgwitVZmEiaAQhBTNTNmOugtx229/RF4Ad+5Y/4fF13W6XTMrN/rxZQCMwsATyn1ev0YorkdcPQxE9baB2PK0ODSSz/yvhAC4OZOTtVqlEDMOecQxNSIeZe9DznkyFMxii2ce83Xrv+OqnY6nVKKqgJkpiEEd3OHmbnbCedcMXnKVIw1tZYvXHrKM88sM9MRItLv95tOA8DUokhMTc6tsKy+xhonfeAzITb4H9z9m1/8x98s/pUE6fd7KaVaStOkWmsIgUDMUFVzhCDvPueq1Saug1fa4kXzf3nvVZ1OU0rJpXQ73bZtmalpml6vH0SEOcW0zRu23XCrE/EqGh569s6vfKjWKjG6e9u2QUK3O7B8+XDb78eUBroDvX7fHabGwrWW3fY9asudD8eqIncHoFqv+fQpzz33vKmBQMwlt51Ox8xLrSJMxFqrmQURB3bfb78DDpuBV9GDc79719dmsbCpEjHM3E1EiLjW0uk2qlWCDHS7O+111Ot2fRNewL2zFzy5cCYLwgqiVUOQnHOKK5SSmaVp0hvedPiEtfbBmDI0uGTmR2YQcwhBVQGYGgv7CgYQM7v5LvscfMiRp2EUW/DzWbdcdxeBRATwmFLOWVjUlIhKrUJMRO8486LJU6ZirHlgzne/cd1MYY4h5pw73U7VCoMEyTmP73bbNoOcifc75N277Hc4/pdFD37v2zdfTe5aS0qRmVXN3c2t02nM1N1TSqp1pz2O2G3/Y/FKW/zw/Hn3X51iqrU4fPzA+Oeef27ChAkAhoaGOqmJMZL7drtvv94Wx+NV5O7/9vkza629XptSIhAx5ZwdHiS1ue12usO9XghSq6aUYowbbXXAG/Z/M1YVuTuA3yz65ZdmfThKaHNr7p1ux82ZWUR6vV4IEXAJknMW5omrTzj5/VcPjJuIV9e3v3rRol/MiTGaqsOFKKXYtjlEYeYNN91k25333XDyGzudcXhh98x+aHDpZ8yUiJuUcs7MpKYwZxGrVURAvN9bjl5t7X0xpgwNLr3ignPc3dwJICatJsKqKiKqGmOE2Q57HXTokadjFFswZ9ZNX54tImYGQJiragwRQCnZzNVqd2Dgne+9ePKUqRhT3P3mz31w6W9/m9vc6XTatlXVbrdrZqXkECLUWUgYxHLGhz8/MDAR/0ut5Wv/9P5Hf/dojFGEU0rLli2PMbAQAGYGICOYOt3OUSdf3OmuhlfUI4vmP/Cdy2JMOWdhDiJFVVhYWM1SiEWLEO20z87rb3ECXkXufusXzhlevszMSq1NjMRUqw4MDPTb1h2lqtYqQfq9fozJgd0POGrrnY/AqiJ3B3D/bZ+7767bQhB3SBA4CFA1EP5LqSVKcICFDzrilN32OgSvuqef+v2Nn/37fq/XpFCrEoGFxg2M33zbXbfZcZ91198SL8J9dy184qGLVpswYfnyZe5omqbTafr9noiUnJumqbXGlPY84m9XW3tfjClDg0svO/8sIlJVEXZzYvYR5uaWYqyqIrzTntMPOfI0jGIL537upi/d4XCYkzCBqlYAKSU3N7MYA4HffsanJ0+ZijFl8aI5X7v2whiiueW2NXciCiGww81YxEwlCBH22H/f3fY/HS/gZ9+/7XuzvwK4Wh0Y6GqtEoLWGkJgIiZXczcbP378tru/9fW7TccravHDD82790pzN7Vx48ctW7as2x0goNbiQKfp9Pu9pknb7zFtgy1OxKuo31v2b58/py0lhAB3OHq9Xup0yKlq7XQ7w70eEVQthGCKWvP0t5y06Vb7YVWRuwP40pXn/HbpEjULIu6uqkTEzO5m5sxsZsxcSllvvXVP/sA1TaeDv4b7vv3Pc394V0rR3dffaMNtd9pvs6326Q6Mw4t2310Ln118WUxBq5qZCBMJgSSIajWz8QPjctvu+bdvmbDWPhhThgaXXvqR9/FKVatIMFMmxgh3YqrVmGnXvQ85+MhTMYotmDPr6zfe425qJiwhBHPPbZ8lxBBqKSRsau+ecenkKVMxpnztix9d+Mu5QYKIuHsuJcVYa22axsxUDWQpBoCOP2fmmutshBfQ7w9df8X7li1fziBh7gx0e/2+iMQgruruRASAicdPnPjmky9JqYNXzuKH5z/yg8/XWlXV3Qe6A1Gk3+8LC+AgAlEt+fV777jBlifiVfTY7+bec/NVEgVEBOoN9xwuElS1SSnnzCJa1R0jmNmBg/72rE223AGritx92dBzM897tzvMLMbYti0LM1EI0cxUlYhAFIPUqgcf8be77vMu/JX84Yml37r2o1O33WmrHQ5cf6Mt8NLdd+fCZUuvJBEhdjgIwpJLblJj5lqyg1h4ryOPmrDWPhhThgaXXHHBue4AzMyJACcAqUm1Vh8BRJHX737AIUeehlFswc9m3fyVO4mpSc1wr0cEAjFz1RpDBDzn4vCTzr1y8pSpGDueePShG2Z9QlVryTEmdziUAHUTYhZW1Vprt9vdbtoOB77l7/Bn/ex7N/78B3dZLQxyQlVNIRABDg7CIDjM1Mz2eNMJW03bH6+cxQ/PX/KTa3MuQlRy5hjbto0xioi751xiEAem7TFto61Owqto7v1XPThnrqkVLcwSQqylmpmwuFs1kxBKLqXWbrerqgAde+alE1efhFVF7r701z++/ppLaq3mxsQxRlU1UyIKEtqcRQRwU09Nc9I5F6+7/mb46+n3e51OF6vqu3cvfP43V6pqCKFpmlwK3GutwuyAm8cgbr7XUW9dbe19MaYMDS654oJz3R1wZqlVmQkEAtdaRAIzEbDjngcdfMSpGMUW/HzWTV+eLSwpJSKqtQLIORMRgBijMJda33nmxZOnTMXYcesNMxc+8J8OIjiLgDy3rQRpmkZNCVRrcSdmevsZH9tw463xZy0bfPKrsz5kXktbJEin08ltC0YIgYmJiUGq2nSacautfcg7PioS8ApZ/PD8X95zZRB2kLuTI8WoK5jDggR3VNdd9911g61OwKvlqScW3HXL5aXN5p5zrqoDAwMAhgaXxZSYGEzmXkshUNN0zHzCahOPPfMKZsaqInef872vz/7WTWoaQiil8AgiMLs5AVWrmYkwEa+3/oYnf+AzRIQx6747F/Qeu6bt95koxCgSzNTMASeiWquZE/leB/9tXHM3/Inj1SAs4ydMwKoaGlx62flnEaFWJSYRcXMRKbUEETWPMbjqTnsdfPARp2IUWzBn1tdvvIeI2pxTjMRkakwEJtMVQghEdNwZF02eMhVjxDNPLfncxedGEQJJEAA5lxRjLi1AIQRzIwLcN9ls26NP+ShehJ/efc2vFjywbPlywEUkNYlA7gYHMYKEfr8/0O2aY6/Djltvsz3wCln88Pz5918dQ8ilAt7mPNDt5pyZmUDdbqeUwkzT9thhgy1PwKvi+aefuPPmT/eWDxJzv23bkmspne4AE+ecm9SoKghVlUlM1VbAa6ftfPDRH8TLQO5+640X//RH/yEivFIpxc0khCChzS0AIgJARLvvPf3AN5+Bsey7dy96ZvHMlFLJ2QERYSIQAU5EDiq1dJuuqXbHjRtevtzhQqGauqNYhaPf74cQCBRCUHU1a3NOQcwBEIBSqwNkYBYnF5YyImcJ0YncTaupOuCqyhzU1NwlhA023OCtJ1+MVTU0uGTmeWe5GTGBGGbM4nAiuIOZzI2Jdtrz4EOOPA2j2II5s2657i6QqxpWEhFmdnMRMTdTdeA9M2ZO3nwqxoh7b/vcz753j5kCcPcYQyk1pUgrwMyYBe6l1redfM5mr9kTL8IfnvjNHdd9jIjMNITgbikld2Omtt92Oh1V15olxjXXfc1Bx/wdEeGVsPjh+fPu/0wQYWI17/WHJ4yf4O7ElPvt6musMTQ0RKBpe07bcMsT8Ze35JF5P777C0PPP51zTimpuRNGuEPVTJ0II3SEWQwp1xqEa9XDjp2x5ev2xMtA7n7zP//9oocWmJk7mImFS1skCBGZGa3k7sx8+NHvnbbbARjL7r974eBvrmSAmVUNBIAcDoKImGqt2jRNVS1tG1NjalU1hAB41lqzErGZNSm2bXaMIAfM1AwjiElrNfMQYq1V1QyEEW4gVjWAzExNVY2YiNjMzTRI2GDjjd5+xuVYVUPPL7nsgrPhgLsTwY2JHc7C5FS1EhET77L3IdOPOAWj2II5s2788h1RQohRV2LiXLJIqFq6TdfhOecTzrl88pSpGAsGn3/yXy45x92qVgAOBBHAg0itxcyJkFKqtay9zqTj3nelSMCL88PbLpn/i1+kJsK9aZpSS2CRwGbOHPr9HjFSjMyy31tOWWu9HfBKWLxo/kPfmyXE7qZVS63dbtfN1RRE/V6v2+2q+q7777LBFsfjLya3w4/9/he//uV/LHzwQa01NU3J2d1jTP02i4iZEUHV1FSrxpRKLcLiROTUDMRTPvj5pjMOLwO5+2c/dfIfnnxSJJSaY4huBgJAcDg8hKBqMUqb8xl/d9mkDV6Dsey+OxcMLrnS1WKMgMcQe/2+xFBrBeDuTGxmEkKtFYCDSs4sIcZQqtZamKSWmjqdZcuWM5EEMVNVDzFqqQaAyM1UVSSUUoilqhKRGUopTEQsVau7A+6OEGLOmUCbTp5yzOmXYFUNDS69/IKz4e4GYriDmd2MRcyUiNw9ieyw58EHHX4yRrGFc6+5+cuziSWwlFrcjUmYuW3bmCJGEMzsPTNmTp4yFWPB9+/8lx99dzYzm5s7iIkcDoshmFrTNKVkYo5R9jvsuK2mHYoX7XeLH7z/m5dJICZ2o+JRVAAAIABJREFUgAhM1DSp329zLjGmGMTJCLTx5lvvevDZeCU8smj+/PuuqqrdgW5veNhB3U631+s1naaWipXMfL1NNpq06drIRg0RMwHmzjReexVpmJi951zXwLiYH3ycNyAExqDRxuyPOtZzXwaZKPa02eNG65M+6zyBcovegOVeWf78808+/tjwcM/MQwilFBaGw0G1qLmOSDE5YGbqDnczE2GtJhIkyBv2mL7b9Pfg5SEzu/BDb6srxRS1qIiYGzPnnLvdbm6zuYYQiPjcC744MG41jGX33bXw2cUzzaxpGh9hzkxqVquKCDOpObPUUkIMuc0sUqsSCQAiqGpVCxJKraWWFFOpWULsLe8NdLvD/R5LMMcIMxMJuS1mrlrNXZjN3dwIDEKtau6dTkdLdfdc6pTNX3PcmTOxqoYGl848b4a7szCBzI1BIAKciFQ1hMBOO+09/aDDT8EotmDOrG/cdK+7qRqLMFEpRUSYuWolEDPD8Y4zL5o8ZSpGveHlg1+49L01l1xyCMwkZubwKMJM+G9OTBMnTnjraVd0u+Pworn7XTd8+Lmn/6CmwgzmWjIzdzpNKdqk1G/7IhwkmNn+b/3A6uu8Bi/bI4vm//KeK+HOQZhI1ZjFzNzNsYKw9NucUsq5uBsREzExwdzgMFczdzRN0+v1QGRmpdaBbne4N5xSIqKcS85l/Lhxtda2bUNKtSoLYwWqtTapKaXoCk5EtVaA1DRIcLiqsrCZM4uqEpGqEqBmTdMA1OnEd591xYSJa+OFmSqL4M+i3vCyC//+7QCJsANmKixEMHMzI2IimBkzT1x94vs+/C/MgrHsu3cveuaRS6tqSgmAu9VqROzuIDIzAGaWmlRKraWm1JSciUXNAOr3+zEGCSG3xcxijGbatplFbIR7VWMiEJlhhKmFEKrWqs7MRGyutRSRoKYwgNjN4SCiDTfZ+J0zLseqGhpcOvO8s9yNmd0dIGbyFSylZGYhBKt1p70PPuiwUzCKLfz5NTdfd2fVysRMzMIj3AwgNQVIhIn4uDM+PXnKVIx6D/7nTXf+27/GGNy91sJMREIELTp+fNfcYgylVAA77n7orvsdh5foVwv//ad3f0WEzczdiQgOEhIKIqy1mlqMkYUnb7nVdnufiZftkUXzHrj7KoORiNZqZjHGWquprTZx4rJly2opIlFCMK1mTkQAqZmbE3Ov12uaVKs2KYHQ67XMbGapaUpuQ4zLhpY1nU4uBUAIIedMLG2/3+l2cy6dTrff7xEohFRrcfcQQ8mFhEupzBIkVFMhLrWYmYjAUa3CiYAQQs5l3yNOe8Ne0/HCVPWr135s2x122m7Hw/DC6Jmnn7rqEyeZKoEkMEAsXHIR4dwWFmYRuJn5OpM2OPMfPocx7v67Fz27+HLAQMREpRQRMYPEkHNumk6txR1azdyYOOdMzEGiqlZXrcpEpohNzG02NcBC7PRLUVUmLqU6nMAAnKDqIGdi1ermIUatVkoJMdRa3RBE3F3NnGmTzTZ915mXY1UNDS697Pyz4AC5G0iYAYczMxEBYIcIT9vjgIMOOxWj2MI519x03WwRMXMRzjkDCDGISC21aRpVdfd3vPeiyVOmYnRr2/bLV5777NOPiXDgAICYmGlEjFFrqVodiCFOGD/uiBM+vtrESXiJSmnvuekj/eFl5lZKgaNJqWplpoGBccPLh0WERjDMsPdR562x9iS8PIsfnj//36/p9XoxRpHopv22PzAwMPj88k6nyTmLCBHlnNUsiIQQa1UCKUxN3UyrxRS1WAiBGCVXM3M43B1omk5Rbdvs7ubeaTq51H6vF0IgYiICXM1Ygqq6GYgcSDG1bc/UOEiTOiUXNa1VU4xqqmoEMrWY4pbbbXX4cRcwM17YAz+79Vs3XOvuu+x5wPQjTxcJ+P9Cjz32+3+66AwAnU6n1+vFGODkcFUFoKqdTqfNbQxx3fU2OvWDV2GMu++uhUNLPjO8fFl3YKDttwCZGwmbaoiRiEpWM6+1UggMIqZerxdDrLWISFUTln6vH5qUS2YWIm7bzEy1GAcR5lqrGxwAUc6ZmYkIRAwqpTKLmQHETKpqcGJ2c4dvtNHGx59zFVbV0OCSy84/S80DMzGrqRCrqQSJFIicGADtsMdBB/zNyRjFFv581tdvvLeUwsxmyiSpSVWrVmXmEIK751LeM+PSyVOmYnT71fxb7/zXr+W2JVCIUmsBICIEOBBFgnBvuNcd6G6+7e77Hn4aVsnDv7j1wR/eYW4jmBkAC5O5ao0xmfkIcyPQtjvvutWuJ+LleWTRvJ/OnpmaxlQBmHoulZnhnkuNTaqlppR8BRse7nW73X7bJ1BKTdu2cG+aphQtJbsjNLGWqqohRKxAbW6ZGY5SlIhSSmAqpZDDTInYnBzORL1+P6WkqixMIHOHe4yxt7wNUeAwdxauRVMMpVYAa03a4LgzPjF+/Op4YUODT3/xyrOfe3aZjzDfbc9d9j/8AzE1+F/o0d//7trLZqhpCFFVmbltWzOXIEwjWITbNscY1l1/o9M++BmMcffMfujZxZe7A4xSCoGYJecCIKZIQC4KQs7F1ImJmYSl3++HGLUqmFVN1SSImRGxO0ouDlO1ECKIzByE0maAQBCRnAucRoQY29yKCIjgqLWoGRG5OzNvsvGmx597FVbV0OCSS8+bwUTEzMSqFSBmIpAQiTCImLD9Gw848LBTMIotmDvrG9ff4/hvqppSUlX8SZszASecc/nkKVMximmtN3zmnOeee7rk3O02VSsAM2NmAEG4SamWgpWOOuX8tSdtiVWyfNlzd9/44Zqzubm7qnY6HatKBHf8FzMD0O129jv2U+MnTMTL8MiieT+69ZJOp9P2+6lpzNHr90KIpRQAJdeUYtUaQjCzFNOyZctSaohIVzAIxZh6vT5WoBCEmZctWzYwbjzcSy6qBoZWdTeRQGAS0qogFpG2bd0cDFcDUQiBgFyqqQFEBBHhEHPJcBcRdwcBIFNbd4NN3nbSP0ycuC7+rNu++k8//cHtANw9hli17LbnGw888gMhRPy/6Omn/viZT57k5sREoFJqCGJubs7MTUoO5JzNbN31NjzzHz6HMe7+uxc+s/iKXLKpqXmMUVXdobU6KITQb3MQMTc4HGDiUgvMQVzNWMTdVb0WdTcicpA7QpCqysw5Z3eMMFeCEJGw1FIkxpyzw0EEAgwgEJGZgcjNCbTJJpu+55wrsKqGBpfMPO8sIhIRAqpW+i+gIEzkBEiQ7d944AFvOhmj2MK519z0pdlEBDhAzAzA3IW5bdsQhFbgd5558eQpUzGKLZ73/W9dfzkLpSYBYKKcc6fb1ZrJnJhSTO4ugTfbYsq+R56Pl+Gh/7x2wZwfm5kEqaWGGJmo3++LSIzR3fv9flhp2hsOnjztCLwMjyyc971vXuigEIKIDPeGY4gAqtYYo1YFwdSZCMS1FncXEVUzh8MlBFUlYq2q6kQwc8ABB3FVI6JO0+SS4QgxllxKLUTkAANm5oCZBYlEpGYxxty2EkJgGe73mcgAEEYQEQBTA9N2O7xx+ptPHxgYjz/r14sf+PJV/whmBrFIrTXGqGY77b7/m446E/8vWjb0/OUfPUG1mlmM0cwAB5iJ1JSIADCxmq42ccLZ519HRBjL7pn90LO/usrcSs5aTULACu4GdSeiXCoBZs5MJFxVzUwklpxBZOojADJzM3XAzFkEgKq5m5rG0LT9PosQi7uVUkMMTGTmDne4VhURMyMid1c1ESbQxhtvcvy5V2FVDQ0umXneDCJmJiZ2dxDgCMJETkQOTzG+brf993/TyRjFFsyZ9dXr73ZzFgYI8FJKCBJCJFAuLRGLyHFnXDh5ylSMVu4++4Z//M2vl+bcxhiF2c1BgHsIorUSExNLkE7T7HH4aZtuviNehmf/8Pj9X7/AzJiZiHLODo8xmRkRcskD3QEJYWjZ0ITxE6a/48LUDGBVPbJo/ve/eRGIJIiZ1VIBdjcQuZmIEJHCiaiUAgeLACilunuIseZaVWMIqibCpVQzZyY1Z+G2n5tOo1VDEFUrWoWplNo0jannnEHEKwHkhNy2AEmQIMHNQKhVwWBiVTUzEVlzrbX2mn7cdjvui/8/peTrPnvukl8tYWYzCyGUWjqdrqm64y3vOWWb7Q/B/0Cq9cK/P6bfa0WYVmpz22k6uhIAEWFmVU1N8/4Lrms6HYxl99258NF5F6UUS6mqZu5BRE0dIKdq1cwBuMMBYlY1EWn7WSTk0pqZcGQmdzd3EOecRURVmYSYSinCUqs5uUgwN1XFSsSkVYnIHcKiqiFKrepuzFxrnTx5yvHnXIVVNTS45NLzZjDYYEwUY9RaA0lohAAQmADHtN2n73foiRjFFv78mm/cdG/OrYRoZm5GRMxMADGbWc5tjOld77tk8pSpGK2W/urB2TddRIQRBDJTIuo0jak5uaqmlAhgpjXWXPuQd32amfHyPHD/1b95eAER+m0bRHIpMUYRMXMiZxKH59ymppny+rdsv/N+WFUPL5z3g1svEZZSq6kCIOJaa2rS8HA/NbFWjSmpmrsLS7/Nbp5SrFrbtiXiIFG1EnOQoDZCRYK6mVpu26bpmKuq8QrCRP22jTGZmpupGzETE4HVlIhKLiwMwFdKKeWSiQhOG2686R77HjB56wNS08GL8NMf3DL7X28hjKBaCxEJCzOVqoA3qTnlg5estc6m+BNy98vOf9fg888TEQgxxH6/BRygpkmlZDd3eIoNCKd/6Kq11t4QY9k9dzz05KLLiABQVW37LWgEVA2OESHGts3mDmLAzSzFptfrO9xB7ggh5DbHFAGoqjvMFU4Y4VRKYWZizlrcXERijO6uqm7OImYKJzMlHkG5zanTmJpq3WzTKcefeyVW1dDg0ss+ejbc3J2YIgcGQBSTmFkIQu6Av+6NB+536MkYxRb8bNYt198VQqi1ErGZ0n9DkOjkba8F4fizL5s8ZSpGq/v/9eOPPLSICMxca21SUjcmLqWEICFGZoY5AW+Y/vYp2+6Hl+2ZPyy47xtX1FxZ2B3uRkTM7O4ppeHhHhGapun3+muus/aBx3xKQsQqeXjhvPu++gkHRMTNU9O0bTYzdweRg7CCjwAopabfb0vOIMSYcinMTCAJodfrxZhYyM1YpORCzKYKkJs5QMSmFkLo9/sxBHVnETfPNTOxmoYQRISZ3d3M3L2Wusaaa07d+vWbTt5svU23X3OdTYkIL84zTz3+z5ee0+bWzIRFTSVI229jSgR3c3e8dvvt33r8BUSElcjdv3D5mb9f+nvAiUmrxShalUUksFattbp7CJGZjzv9g1Ne8waMZffMfuix+ZeYOxylVDc3uIiYGUBaqzPrSnCOMVStqmbuZiYciFlHmMEcBIDJASLA3ZxF1LSqsoiqMrOaCkut2jSNqpZciNndAI8xuqPWApAEJvCGG2x44geuxqoaen7JFR87xx0OFyJyDyGYmwgTExNiCMK09c777nfoyRjFFsyZdfN1d6YUh4d7IQQQEVZgplqNmZgZwDvPvHjylKkYlR77/W9u/dJH3NS0dgfGmSozN03Ttq3DRMTMhJgII7bfYVoaT+4AHEAM0d1GOJyYrKqEYO7C7A7AAYfB3AG4ewjBTFlEC+bPfTDnwkzunFJs236KsdfvS5CUmuHly2OMzNLtdF+7x1tfs/WeWCUPL5x371c/SQCzlFJJ2NzVzM3cncDMAexu5uZVjYiqVnePMWnVGGOpFYCZ1WohiJkJs5oTiAggJriZAyBiwFUVRNVVWEyNmEopnU6nlOLuIYRSSkoJIFVdd931T/0/nyUivETf+PIFv/z5HKzgwiGX3DRNzpmFhQUOB9z03e/94OQt9sRK5O7fuv5Tc378QxEhIlV1dxGJMapWM2MWEEaY2hHHvP31u70NY9l37njoiYUzzSznXIs6kROEpZTSpE6/3zczDrLdtGmrT9jcKxDgcM+gSBihKNUikQOIyAXiqO5CJO4gApDdmcnNCyBAInrOfRyRwolh6hVE8A6xwZebESgSNUTj1hq3/W5vwqoaGlx6+UfPBpxATEQAB3LzJkViEIjIUkrb7XTAHge/B6PYwrmfu+W62QBVVTfjEUQs7IaqlUVMlYiOP/uyyVOmYlT60V1XPTR3jru6e4qRRXq9XtM0pZSUYgihbdsgITABCDG2bWumMUZVTU1jaitAYwgiAkc/95vUuLuaDXS7ZSU4mm5n+fLlgTjGWGuVGMxMRHIuQWK/32dhAomIr2AgrqU0TTNxzXUOevvHmRkv3cML591+wwUD3a679/sZriHGWisRL182PGHCaqVkAyZMWG21CaurqrkzMYFqrSklVa1aATAzRjgM3qQ03MtBpNQaRIpZFIGZE8Gswp9+6ok25xCCqgIwM3fnFcTNSy0pRnMnJiY540OXrrn2ZngpFj3045u/8OkmNcuXL+90ulqrmoKQYiqlEGDuIqKqW2/zmredPJOIAJC7//udX/7Bvd8utTKTreBmJiJmFlNyMyIyU4e/dttpR5/4MfxVubtZFYlYJXffPn/pLz4lIm5eVEnYDFoVIBGpVUeEIMedfuIak/bHmDI0uPSy82cwszCTAUTExkwpRjiYicWFedouh7xh+jsxii38xTX/euN9qlZLYaam6bSlhYOZhGV5b3kMycyOP/uyyVOmYvR55unHb/3CPziMiQjEwkTU6/WEpek0OeemaUppASfibrdbSjHXEAMBnW5naHCImYXZ3IgYgJmBKMVYSmEWEODOzG7Owm3bNqnJOQMIMZRS4URMbT+nGM1HWEqp329TSqXWWmrTNP1+e9CxZ288eUe8dIsWzrv3qxeCQOBSiqmFGMyMCGpQMwKp6xFvmb7FDifhFTL/gR/92w0zfSVVFYnuJiz9tp9SLKWGEEopzMQsBx95wi57HYYXrW1711014/HHn2JmInKzqmpunaYhkl5v2N0kRALMXVhOOvuCDTbZDgC5+8MP3n/Llz5TSnFAWIgxQqsGYhCpW0qxlBJTDBRmnP+F7sAE/PU88/Rvf3TbVRtv8zdbvW63lDp4ib5zx/xHfvIxBViEicxM1eHk7kRcS4awO46fceqak/bHmDI0uOTKC84REsABSBSCEzwGISJz63YS3Lbb5eA3HvQujGIL5nz2xi/NZmYCEdOIUisTmVmMsWoNEgC888yLJ0+ZitHnh3d9ZcHcu4kohSTCqipBcpvdjZkkxJILwWOMbckD3a7DmbiqmmrTiUykZiC4ekjRVNXMzUEY6Hb6bVtLJWZhJiKtGlJ0dSIqpTJxqQVATLHt56aT+r3MzCCQk5mJCAhtbiWGDTfd5sC3fhAv3aKF8+684ZPuLiJtvxeaVGslYiIKIbRtNjMQjjz6gC13OB2vkOHlQ1d9/MScCxE5IMxtm5sm5ZyZSU1jjFod8CCy9XZbH/WeT+JF+/49X7739m/WWlNKpZSmadq2FREA7k5EADGTu9dS1GyfAw8+8MgZAMjdn/7jo1d/8r1VK4sIi6nGFM2UiXPODo8xurkQMfPRJ7x389fuh7+eX//yth9+5+tEtMYaq792pzdO2vzQ7sA4vGh33TZvyQMXqZm7C0spFYCqEbETlZxZGKDjZ5yy5qT9MaYMDS65+mPvB6BaJXAIgZkYK6QkIAx0OlrrtB0P3Wn6sRjFFsyZdfN1d6nVGKK7w1G1xhjMXEQAqCoRv3vGJZOnTMUoM7z8mW9+4UOlbRlcrYSQcslNSq4GcmbqdDtElHMbU9JSAZibsFTVGGMpmVlijG2/D4CYmyYNDQ5NmDCh3+9zCEK8fPlwSsnhMUQzE+GcS4wx5+zuAI/QWlm42+30+9ndWXh4uKemnU4HQCkV8CZ1Djp2xqQNXoeXaNHCeXfd9Gk1IyDnHGJ0MxCZqrkLS6mVCEe8df+td34vXjnXXn727367hIgAuDsRAQ7AzIgYgIiYGTHHEM467wvdgQl4cb59w6d//KPvhxAAmFsMsW3bIKFqFREQVnA3cxFx99VXX/2s877IIuQrfeYTJww+97yaMgsRfAUwEwAzc3MRcTcCttp627ec/An8lbj7d24+749PPOpqxAwikbjtbvtuvs0B3XFr4UW4+/b5C3/ycQLTSurGxG0uIkIgVatamPmEs05dc9L+GFOGBpdc8dGzo4i7hRjMNMZADnePUQa6jZm6+Q67/s1OBx6LUWzBnFm3fOUuMwcgwu4mIgCpKYFEhAjuOO6MCydPmYpR5qffu23eD79WawkxkiOXzMQhhJQCEQEgJgJiSrnNpZYYoojknFk4hrh82TIO3Ok2cEiQfq9XqzKJSKw1Ezg2MbeZmbVqiMHdASq1xJi0qruzSKkFI8zNVSSGIMSybNkyIgoicDih5BJjnLL16/d787l4iRYtnHfnjZ8iIjVzh6mqGwEhBDc381KKA0cec8A2O78Xr5z7Z3/uP75zJxPXUg3GJIAHEXMwk6oSEeAA1VqPPfHvXzttd7w4qnr31y7/yY+/r6q0kgiXUkeEEJjZzUSCmgKgEcynnPup9TfamtwdwB23XPzT//yBqsIppkiEEe4eJNRSmJmIzJSAGNKJH7hgrXW3xl/D75cu+PevX6pWmYObEVGulZiaJm22zV5b73DAGmuujz/rztvmLfzPjztgZiHEqtUd7gZQrZUIjODwk849ba31DsCYMjS49MqPnpVCMJiEANcUIgvMLApHCSBnom12mr7bQe/EKLZw7jU3fWk2EZkZEZlpjP+XOjiB/7Qs68X/+VzXfT/P9zczICioqKmgpIgLKLiVZgoqLpQiAuJuaiyaHenggriULeaWpoJLaKbgkgSCO+7lDuKgM2oa6im3Mplh5vd9nvu+rs//N/M/vV6dF03iOaL4ftceQTEi6lDdTNAjT3rRvvvtj2uTed72rtf+wbatW9yLJBIkIxKZi5UxM0spkkop2mmeZ0mLxSIyCUjKiMgs1VdW1q2urkKKiMW4aNF760aae2ttqOM0T7XW6OHFl9PkpUb0Wus8zxIyo5TS527utdZ5niOjeE1ljw5JpLOY2dFPfsF1994XP42vbr7s7856biohkSbB3SFEZErF3czm1h76iMMOuNOJ+Nn56uZPnXPmnwEo7nNrkEJZSjXaNC2Le6lDRieZ0h0P/bUjj/+fuNoi+jv/+rlf+eJG0khIih7DWHsPSWYGwL1kRCrM/CHHPuH2d3kwJQG47OKPvONNLyvuNEaEmZE00MwiQikj6zBkdi9+4MG3P+LoZ+MX4ePnvuTb3/hyUoRNy6WAUotyjSBY8dsfesf9Dz7mOnveELvwvndftvHvn1dqgTC3BqD3vlgs2twBptLclXrSKb97vRschl8qW7d864w//gNQoSzmbjAzGoq7A15YvBC4/cEPOPjwh+NabNMXXv2Ot3zQzHrvUkowksY1EOhUisZHnviifffbH9cmmy5+72c/9DbbqfdOIwAp2zyvX79unvu6lUXr3d1LqcvlaikekT1iMY4AWm8QuAagu6To6W6ttVK8zR1EHYfeGs0zYp5npdyLFffiq9u3lTK01t2tTfPK+nWt9ejd3VMQlCmQUpp5RK6BcMdfu9c97n8Cfhpf3bTxXW94LnYgCdAApQSg9z4MgzJ75kOPO/zAQ07Ez86VW7e84gWPX87zYhyllDBNk5ubW0SM4zDPzYv33iHsvvvuTz39DbWOuNr+7V+/+/oXP22aJnANogeNpdTM7L0TTKnW0nsU91//zfv/5oOfREkAVrdf8YoXPGk5LYuXVLbWhnGoXlZXV20N6e5IWTEp3cvDn3jKzfa7M36+vvediz/49r9srZl7RJCWKSkJRCRISHPvDzrmKfve5h7Yhfdd8OVLP/4c8wIoIkAqknSQkCLCasnMJz/9hL1ueBh+qWzdcvmr/ujpgEopbiRUqhtRS4FkTgDF/fYHPeDgwx+Oa7FNX3j12978fgCSAEkYhppSRri7mQnqrT/mqS/ed79fxbVG7/OFb3rOv//r92qtRtu+ut3dhlrm6AYuFguCc5tzTajUMk3TYlxJBUkJZpYZy+W0GMdU1lp775FZSyWZyoiY53mxstJ7b60tFmNvaWbLaVlLARA9MuXFJUWEl7qclxC9lDZ3QYvFovfW5ualZOT21eWGDRvc7ZFPfdkee14fV9tXN1127lnPVybJiLBaAOROkQGBYGQc9+gHHHDIifiZeuMrnvpP37jczAQVcxgzBAg79d4AuhtAM3/Miafc9BZ3w0/jIxe88hMf/jCEUss0TaV4pjLSixNIiWTvfRiGW936tkf/zvMpCTud96YXXnLJZ2ynVDJhbiSdNKckMyMZGWMddt9jr2NP+JOVlfX4eZnn+QNnP/eH3/+X3jvXmEESLHorpfbo7iUil/N8/Il/utcN9sUuvPfdl335Uy9orRWvgiRmJqEU1qRSAMnfPeXEvW54GH6pbL3i8te+6FSSBpAgYc5qHIYBQGQAGofxdne4/0GHHY1rsU2XvPqcN753GAZ3jx69dxgiwmipXIwLSRHxqJP/fN/99se1xuVf/dAn3v1WpcaVcbm6hOCFtdbIhECCRqUIm+Z5sRiVsuLzNPfeSykAIkLQYljM82xu41ineSIsQqDm1jITUh3G3nspnpFe67btq0PxyByHcZ4mGcdhmOYmcblcNXenS5BkZvPczOnmkWrz7LVKuud9Dz/0N34HV9vmTRvPPev5SPQIM6QE4w4ggGmaaq0Cjjru8AMPORE/U5/84FkXved8EiQjIjPNHcpMDcMQERC8eGuNZne+2z0e8PCn46fxzc2ffPOZLzFjZppZ773W2nvnGjMDenSApO13y30fddJLKQk7fX3z35/92j83MwKShlIzE1SpJXobh3Gap3FctNaGoUI64KBDD3/I75PEz8XFHznn4k9fULxG76XW1pq7zz1SSVIpkPM0j4t1T/iDM+swYhe3HUrfAAAgAElEQVTec/7GL33yuZmoXiIjyYgwt946SRAEM/OkU5+y1w0Pwy+VrVu+deafnuJuBrgXmoqbE7UOvbc6VAokb3uH+x902NG4Ftt8yWve/ub3SxqGISIy02g0ttbcneCayHjUyX++737749ohM9/zN8//0fe/bWa11OW0rLWWYpmJnSIjego0KlOluJkBFhEke+9uZu5mptTqcnUYBhgjguA0TaVWgBkBqtahzY2kJJqtTpORNJdSgpllKqMvl63WShopgKQB2LZ9G8lhGHokhFQWL6UOjz/lVRs27IarZ/OmjWef8WxAi8VinmcA4zCuLldLKb2HuwGW2Y951BEH3OkE/Ex986uX/s2Zz+u91zqQaG2mOQFJqSxWzK3NLZWSNuy229NOf/1iZQOutsv/afObXvkMCL33cTHO00QaSTPLTHdXytyUeb29r3viM99ASdipt/bGV/zeD777/VJcKZDR5/Ub1k/zrMxaC2FCKjMjFouxZxx2xENvd/djcc3756996v3nvkYpCdxpnuckImTuSinVex+G8ea33P+Bxz8Xu/ae8zde+rHn9ozixcx69NQaiCK4JjPN7IRTTtxrn8PxS2Xrlstf96JTs/fFYgDppBmKG400EhxKjYjbHXTEQYcdjWuxTZe8+m/f8qFUKlXcadZbr7WYWbRuZiTN7Ogn/dHN99sf1w7f//anPvjONwBy94xMJYRaPSIgCaBxmpt7GUqd5zkjvXpmjsPQe6SCxtZjz+vsuWXrFUr0iA3r17fet2/bVutAQBLAVA512L5cNWOPpHlrrZSiFM2U2XtKGoZBAonee2aaeUSSnNvsxVsLSMM4gJxWl1b8QUcdfds7H4urZ/Omje94/emSANAsend3gD260dw8lZnx8OPvf5tDT8TP1Dwv/+J5j9++ur2UmhmSMtPcoiepiCTN3VJJMDMf/rin3Pbg++Jq+9Y/fflNrzwtdhrHobU+DmNkrKGxtz7UIZVrbnLjfZ506mspCf9h0+fPPv/t7wJpJE2RCcndU6puRmttrrUCEFSLk7jrfR95x7s+ANek737jKx8496W9z9FDUkKtZylF0jAMy9U5MyOCZGTe8/Cj73zvY7Br7zn/si9+7PSeQTNBENZoJ4BmBkDSSf/zpL32ORy/VLZu+dbr/vQUMyvVIBTCSwEFYN3KSu+91hItbnnQve52+KNxLfbVL57xtr9+nySukYoXM5NgpCBINJJ29JP+6Ob77Y9rh4+86wX//E/fysxxHK+88srFuLBiEFpv0ftQRyHdy3JaptK90tDmtmHDhmk5uds0z8WLICRa72ZGIjNJI9l7104ARFsul+NiAUKZ7mXN6vZlpjIT0Br30lo3L4JI9uhu7mbTPAvovQ11wA4kHcI0TXvtvdfjnv7KcVzgati8aePbXntaJsyMhCAABHtv69dtWF0uQbjxYccdfsAhJ+Jn7e/e9LyLv/AFksMwTMsJRC0lMt19nmczK6WQNLd5mm9xy1991Ml/jqvta1/5yFtf9/KMrLUa2Xonzd0ys7XGHTAM4zxPt7jlzR/9lFdSEv7D9m1XvvFlT1kuVyNCUo9eS62lJkIRbk7S3SM7pDrUzPRih/7agw6+x8PdHdeAy7/+hY+df8Y0TT0CgJtFRGtNWGMZ8mJmPs3NSAGPOvn519/n1ti19777y5//6GkAaFQoMsyMNIKZWYfae0g68X+esNcND8cvla1bLv+rPz/VzGhwt2rGndxtjZQUzP3WtzvsTocfi2uxzRe/5h1v+QB3MrDPzdzc3ZyRfTEsUgngqCf80c332x/XAj/87lcuevvLW+sRUWpRKDLGcey9R0QpZTkta63FymLd4tD7PTqSEmhUag1JAGbMFHYikSGSIiBgFkcqQYMmrUEHC2FAApXoQiEoTUAABiRA+Hp9+Ly/+vcf/VhKABIjOiA3J325nBaLRWYXKeCBRz3x9ne+L66Gr2667B1veK52Goax9xYRpZTWmrtHD5DmdtSx9znw0JPws7b54gve8Za/iggzi0xJRgCstbbWIqKUWor33gFl6nee9vJf2Xc/XD0ff/frPvLhCzOz1NLm2cyjx7gYM0JAZkpaLFZamw68/cEPe9zzKAn/yWVfOOfCd7zTQFFujJ7jYpimeTEMQJKWmZLGRc1UKYZId/+V/Q78tSMev+E618fP1KWfvugzH3pjZIBMiaDAjIgMoy2X07BYRERKECTd6EY3fsTJLzMz7NqF52384iefN01TrbXNzdxAU6ZAdxqZmRJOPvXkvfY5HL9Utm65/KwXnyqg1lKMSrkbIK+llqJMCJJuddBhdzn8eFyLbb7kNe86+6LoYW7IdPNxHHvrmd2KuXuLyN6PO+FFN99vf1wLfPa9L9182UaCkeHFlVosFqurq5ISWiwWy9WlGQEccOi97/Kbj8HP0cX/cO4Hz32LIDPrkVCARoC01nopDrL1nsob3+j6j3/6me6On2Tzpo1vPePZxYuUZgTY5mZugnrrtVSQpfhDj73PbQ45ET9rV/z7d1/2ghMopdB7G4ah915KkQTBdmDr3c1TSeMhd77bA489FVfDPK2+8oVP2nLFFe4OQFJEmBlJM4NAY0SQ7L3f6373u/cDT6Yk/CfTtPzrV/7eD777vVKrQcNQSfbei5fMKLUIKu5gKnKsg5n1HoDGcXH3+z1039vcz93x/2zr1n/76AVn//M3PtN7MytaA2UoMs2NQKYEZM+5N1tDTnN/wEMfd8df/y38ty4870uXfOJ5mSkpUyQBZKaEUtyMPdKMJ/7BSXvvczh+qWzdcvlZL3lGcTNjLSVao3uprkySxT0jze2A293nkPsej2uxr15yxrlnX0QCIKSMLEMltCYV7ja3TuC4E1508/32xy/aD7737Q+d88Ll6vZxsejR53mupZBsvUckwKGWaZpqraAd9aQ/3uO6N8bP0fZt//6qPzxhmpaZYeYsjjVCjw6ARoKZSVKphzzmGbc/+G74STZv2viWVz+zDjUiaqmC5mmutUYEjW2ax8VimqZHPPaBBx56Eq4Bb37Vqf/4tU2ZaealGMhpObk7gIwotZpZZpoxU+7+xP/xZze40S3xk3zqo++48J1vAjCOw9xmgmvcPTNLKb01cycZPQQ99BFPuMNdfouS8H/69jc+9bdv/IuMMLdaKoHWupQkS7XMHIYBSKMNxQECiAxJbr7n3vsccOcjb3nrQ7xU/F+ZpuWXL/noZZ96149/vIWk1iTMLTNb6wAElFIyMiWAER1AhnbbfcPj/scrN+y2B/5b7zn/sks+8bzeG8Ee4e6SAGSGJHOPyFL85FOesteND8Mvla1bLj/rJc8oxYdaCtkzzAhAgIFm7D3c/bYHH37I4cfjWuxrXzzjHX/9fpKAzOjFtSazDnWaZjMbhkLzox7//F+52f74RbvkI3/xhU993t3MCEJCKpVJ2Dw3mvXeVhYrvfdb3+H293zwqfi5+/sLX/+RD11AgmYJmbtCPXrxYm4A5nk284y42X63eOxTX4qfZPOmjX/zqmdIKrWQbHOvtYLI6MVLAgRIHvWIww885ERcAy79/PlvP+uMlZVFhHr0YajKJG3N3OZMGXeQ5O6SbnXgAcc84Y9JYte++bWvnPP60yMSwOrqaimVBjdvvdVSldl6d/eIWKys9N6ffMqf7HPjAygJV/H+d73sa1/6XO/d3JxWamltlpLkuBjm5Vzci7uUpJshU+NiaK0BiIg99rzerx509xvte/D1rn9LM8fV868//JfvfO0TX/z0RVu3XDHUYZ77Gi8lM1trIdVSAUjCTr13gKXUzA7xXg+4/13u9Tv4SS48b+PFHzsdtIgeEe5OIlPuBlBSZprZHe9w6I2G63FPahYaMAMQQEGESAOpTJIRYeYcoBlrpLTRl8sYSTqVmqUBAEkzpaSUZGbYSTuZmSQQhAkiKAgSjLbOtE2ZYe773+dBu1//JtiFrVsuf9PLTnU3h7m7uUkpqZSSmQB7a+Z+w1/Zb99b30QSybwyuZ7570pJW2W7mSapCU50oCkLBHAgtilTJKUEQAKgsIOtp7YJOxEU1gggoDWkSUmalNiBgEiAtudt77Lf7Q7GVXzti2ecd85HIqPWCkjK1lqtpdQ61Lp923ZBw1APuutdrnud9eiAyRYW3w+7vtHIRGbCKYk7gGRsDVtvJNBgAyOz1tJ7ECzFe49SHUKPLsHdItKM/8Gid5BmVAoEyYwU1Oby+Y9+LLI7DUYSWpNKZaZqrRHZWnM3gQ965DNvcvPb4ufuR//2nb984VOGYSC5bdu2WmuPPtShlCrl9u2rwzBkZkRAeMzJL9jvVw/Cf2vzpo3nnHkaSTOLDIKR3VjMGD1KdQlmdtRxhx1wpxNwDdi+7cd/+cITpmkC1FrPTC9eS40IMxcSAsg2N0lDLQnc78hj7vabx2EXLv/mF975Vy/dvn27UiAyk2REr3Xora+sW7TWBUHovdda161f9/vPe5N7oSRcxbZtV7z9Nade8eMfZaoUp8HMAPTeazWH9d5rLaBFdKONwyCi9w7IaF58qMNymq6z55573Xj/G9z4Jut3v8m63fdav/66XhZmJJiZEdOVW/71hz/4zr9971s//F+X/uBfvr9cTu41IrRDptijASbJSzGiR0LKlJlBzAzzMk/Tda+7x6N//+UbNuyBn+Q952/87EXPrsPQe48MgjRKgmBmmWHuEDKTpJkpVWqZ59nNe3QCVgoEd89MKZWiMTNtp9Z7LZ4ppcwNQCoJSnL3iKQREs2i92EYWm9GWzPPM0kpzdzMSEYE15hF76V46/GUE07f+9aHYBe2brn8TS891Y07iOM4zn0u7rXWVGQgU703M5MQCsB6V6Z6Ru9RikdKKYgppTIlGpXKSC8uQInMAAQQAp0RWUvJjEyRVopnZCqNFCDJzDODJAAzpkAgI1N598OPv/+Dj8VVfO2Lr7ngnR9rc4ORQGb6ToJqcYJXbrtyKNVLid7dXRIggO5uDkh0gwSyza0UI+Du2QOAF5dgTiR672ZeS/HipfiVV15Zao3otdbMBLAYR4HFfeuVW1dWVuZ5GsfFPM8Q3a31aPO824bdtq+u9j6Pi0VGllLmNgNsrS/GEYSk1vteN7zpw5/0Z/gFef/fvegL//DZ3jtBL2WaluZOoPc+DKO7R++RUUq51W0OetjjnoP/1uZNG88+49nuHhGZGoYSmUq4s/dw9x4xDuNDjrn3gYeeiGvG+8996ac//jHQjIzo5h6RgCCM4zjPs5kplchhGHrrpB3x20cceMhx69ZtwH+ydcuPPvWhCz/zyXOneSqlSDJ3IwFkpCCS7h49BKWyltp7+/V73ufwo54GgJLwX/lf3/7y+85+8XJ1tfUOcmUxkuitl+JIZaYXbz2KGck61OjhZqQR6pnDWFtrmSLhXqJHZpIwH4ZFbS2it+gx9V5LBSRhmuZSCmi9tcwUBFjvvZY6z7MXBxARoLXWax0AZQpQz3zgMScecpf74mq48LwvXfKJF0SEuUnZWycJCCIgmnkpvTVJ3AGElVqm5UTCi2fKzHtvtpMkM2YCkBlJa60BKKX03jJVa3X3zATQey+lZCaEyKilptR7q0PNnsIamZkkQDSH1FobhiEi3L33/tQTTt/rgEOxC1u3XP6WVzyLQkpmLF7MTJlevEcnrfdIZfSAGc37HDTOrUUIoKBcE6BZjyaBMEGZ6WYgCAqgWW8NAEEaU2k0SQQFAXC3lMzYW5CEUGqJDAgEMgUS0Jq73ue4I448Dlfx1Utefe7ZHxqGobXZrAACQNJIQF6stw7h/zeOg7vPbSqlTNNkZiTHxQglyeVyuW7duuwdgpQShnHcvrrd19BIZuYwDhCUIkHS3Hvv1X2a53ExmnO5nGodIqLN8ziOrbeVlXXTcuq911pbb+5lOS0Xi5V5nkD21ou7mUdmZA7D0Hs/8pFPuOktDsMvyL985yuve8mzeu/DOPTeSqm9d0C11t66mYOQ5F4k/c5TX7jPzW6NXdu8aeNbX/MsScWLoFpraw1AZpIEQBLQ0cff78BDT8I141++/fUzX3KKu5F09x7daJJaa7VWAr13mkEA0Xpfv7J+dbl9t933uNUtDtxrn5uvv+4e2//tiu9856tf//qlvUfv3d0BAiCRGe4leq/DsLq6Wku1YtHD3CDM8/TEp/7hzW91CABKwi5c9rkPfPQ9Z2UmSXMrbkx5caUywtwz090lAZBAIpUke++lePESocwusbV5sbKSvcsYma1FKUVSa614aT1WFivTPEeGRAApEchMkgIU2aIXK2aWiYgA1JVuHhl3OOQOv338C0jiarjw/I1f+NjpykwhM4wESCNBAJlJMCFlmpl7kTIitJOvMWsRRkoJcA3WkEZGRCkFRG/d3SPC3SOyVO9zH8cxMlubSUoCUEuFoc0NQKnFaHNrRgNEgjQIgriDtTab+clPPG3v2x6KXdi65fKz//I0oynC3CLS3XoPr6ZAb62U2pU9Fb2bFQmtdwmZCSB6mnmPCCUEEKQJAmBgRoKgWUQHSDPofyultNbMDIAk0kgCAoEUCKOB1tpsRjPrPUqtGXnX+xx7xJHH4Sq+fumZ73rrB8ZxXF1dBeBmXgogI6EEYOYAJJVS6uCZOU1TrTUijAR3MIO7I5Ogu6cEKSIIlFojOkB3Tykj3K31GGrNTJKtdXOL6LYDAdQ69NZpbK0RTKm1thgXtdZpWoI0t5SmaYI4jGPu1HuHVGrdsNvuj3rqq0qt+MX52zeeeskXvjzU4uZefPv21VpKKiEgBUAA3QDc/pDfeMjxv49d27xp41vPeJaZEcxIUGbeewcBwd0BmNvRj7jvAXc6AdeYd7/lOZ/7zKU0lFLnaR6GCiAz3Ms0TRE5DDUje0YtXkqVBCkiUkpl8VJrJTFPLTJKqcoEIcncnNZ6r6VEJgDSABCY23yDfW504jNe414AUBJ27XMfffNnP/FegxnUe1tZLFrv7p5rpGJGmqDeeikuCWTuEIuVddl7SsvWaik065Ftnsdx7L1LIjwzpQQtMiQCcPMW3Y2SWusQQErKUK01MxKQUIaSkZEBYY8993zs7714t92ui6vnwvM2Xvzx55r7PE2ASCMBMCIWK4t5nqPHOAzTPHtxpcyMZO+tlKqdMtOMZm7mrU0ASBNgJIAe3c1Jptak0SCkkqS7Z4ZEQAS9uKQ2NxCSSimSzGwchtZ79BBUy9CjESAJ2gmPeubeBx+KXdi65Vtnv+JZEgCV4r0HzTJiGIdpbnTOc7hZdGVGCiAjU6nIVKRZ6Up3b70pYcbew8wkpUTB3Ny89UYShJtnZkS4uySQynS3TK0xs8w0owRJZpaZpAGKCDOWUg/5jaOPOPI4XMU3Nr7uvLd9KDMIKtPMBLkVKSOi1BI9JNWhDLXQbJ5nAO5OEiQlCkZNra1ftyJhnmd3L15ab9iB7gSN2GGeZi8OgCSAyBiHcVpOPdpisXAv2iFTyMyptVqKuZHWe0hq8+yl1FrneXb31notQ+9dEoDMdPffuP8xB/3aQ/AL9fVNn37r6/+MUu/dvfTejQYSkCCl6jBAiozFsDjhGS/e47o3xS5s3rTxra9+1mJlAWia5+gxjmNG0ri6un1lZV1mSjr20UcccKcTcI35zje+ctarni0pdyqlREStRUJEB7gmM7nGzM0EQZimqZSSmdoBw1C1E82MXCzG7du2D+M4z3NmmttQx2laGinBjCk9+KiT7nSP+2InSsKuSfrEB9/6lc+9L3s3gqSZkayl9NhBmTQzWiojgqQAQbXU1rsEmkUIgiCCvTcai9dUppSJzAQgCUBkKtPWkBFwt8gMSSkQmWlmkiiBJmocxkee9MIb3fgWuNouPG/jZy96lrkBBOTuEiKCRgNBZoZ7cbMeGb17LRk9Qu62pvdwN+0EiWaSSinTPC0Wi956ZpZSAAHETpkpCTtlahhq711roOJFQiqKl8x099Z7MaehtV5KITD3VkrNHiBOevJpex9wKHZh65ZvveUvnlnczazNjWaZIcDMeioTSqWSNAmtd0gRYVYEtugQBBEIJUCl1mAnAjBTJgCjmVtmmLkkM8+MNcU9lRLWkDSzzDQzAcpUisbMNCPANZLucu9j7//gY3EVX7/0tRe888NGtLnVWsdxnKYpIkqptZbt27evrFtERGYCAkCilGLmmQmglNKnmYQZJbibIKMTKLUAmqYZgKTMdC+AzCwizGxuM8FSSotu5sistYay9VBqHMe592hRaoXWoPc2DMP27dvrWDNiqIvMANl6c3OBEsZxeOzvv3zd+j3xC5URZ/3FU779re8A8FLnaaq1kiBtnmeSkmqtqczIu93zAUc87ATswuZNG9/+utOlLKVEpCAARlvjZnNr2unYRx9x6zv+Lq5J73/Xyz/5kQ8Nw9BaG4ZhbjOkUmrv3dxrrW2eAUgJUFKtg5QRaW7KLO6ZSTOSPQKZXgoJpXrvIMdxlHKem6Raq6Tdr7PnCc941TiuYCdKwn9L0sUfffNnP/mB6oxIQQRJrOm9D0ONTJJurszty2UtVQSEJKKHlzIvm6RxHKVsrYPI1Bozo5eIgBSZTssdIGQtNVPL5dJLods8zXWoEQHA3Vrr7r5u3fqHPObpt9j/jvhpXHj+xs9c9CwI7sXdMrJHN3cjAbTei7skM0slJIg0SmnmvfdUFi9KgTCje8n/LdxLa21cLDI6RJpFdO6UCmch2SMACGk0SZlZao2IoZaIUEqAmQGQhDWklGbWeyjz90583t63ORS7sHXL5We/8jRoB+6ATEWmwJDaFMNQW+8ZCTNJKWUPL3W5OrGYIAjKdK+CMhMQQEkkoweNgNyKIBDKBIyEUjSmEsIaLyUjlOmlQIgMkuYWPQikVLyk1uRd73PcEUceh6v4+qVnnHv2Bwy0nUi21modeu+1log0gzmHYWitmWDOjEiw9T4MQ6k1e4dyZbGY59Z7L6WYsfduZiCV2XpbjKMEZcKolLkVL7335XIpaRhGISWmsg7jNC0JplRr3b5t6e4RUXcYpFguJ5oZEZlKCaAZBBrN/JBfv/c97vdEXAt88TMfOO+cVxOITPdCQ7SIDABmBrK1eRwG2hp/2umv2bDb3vivbN608e2vP12R5j4tpzJUSNjJzCREdjd/2CMOP/DQk3BN+vGPfvCGl/7elduWkd1oZq7MUss8z5kqxaVsrS/GRWQoUwBJd88Ic4cEICGlSEZErbW1vrJusVxdevGIdDNJINYQ/O3jn3yHQ47Af6AkXA1fueT8f3jfO5TKDIkkpuUE4zAOrUcxj0xAAElkajn3WoqbZSbAiKBxHMflNEUqejdaSikps5QSkcWrdkgJmSnIS2mtm5skABlpbgDa3DbsvvuxT3zmTW9+O/yULjzvS5/98LMFuDnAzE4zpQC4O4g+dxBKmVtEkPTi2YNGCZLMDKCUwzBEhJllhgCCqcyQke4uyMx6b4QJysxhGKZpKqVCEgEJEoxGz4zMJCnJzABoJ0DuRVIqCT7l8afvfdCh2IWtWy4/+xWnZWbvnU7QlQlp7unuyvRSprlFRKYAGD1TKQkCGRFmPs9zKU4wUmYAGJGg3BxCKNxcO7l7652CIDNLiYTR3CwlABlpxaHMFElJWEMQjAwCdzvs+COOPA5X8Y+Xnnn+2z8UPUqpmSkJyHExSqqlAMgId6+1zvOsDGV4Ka130EiYO3JNrCwWEZJSkFLuLmGeppC8GMBxHKfl0ksFICmim3kpPk2zu2emmS+nmWQpBZK7R6QkkrEmYxwX5mbkldu3QzRj620o49waocgcxvFxT3vxXte/Ka4F2rz6ly988hVX/DhSFMwJMCKHcVAmyda6OyVE9CMe9LC73+9x+K9s3rTxnDNPMzOSANo0w7gmI0AaLTNBHPOo+9/2zifjGvblL7znnW95XUZkJoBSi9HmaQYwLMboPTPNXRmkZaa7ZcrMJPUIAiAJ9N6HYZRSkplFJoHINNKMpEl54G0OeNgT/9TM8B8oCVfPt//pcx98xxnTcrsk0lprG3Zbv1wup7k5fY0ICBkJKJO9N5LuTqOEHiEoeq4xd2WSjB6RWYpDRjCRmSKZGSLNrEcf6gBh7rN7UYrkjW924wcfe8oNbrgvfnoXnPelz3/4NICRnfRaPCUz9h6A3EtrXUqStdbW5kzUUgRIcrceAWkYhmm59FKlNGObu7llZh0qBBAQ1kSEmXuxNjfsZGYQQAhyLxlZivUIpdwsImmQ4O4Ep3lyN8K8eGYCOOmxp+190KHYha1bvnXWi0+ptUaEubcWZsxQREoy9x7RWqcxe0ogLZWZgtHceu9GkyCAgNZARosISO4lJZJSujsASRFhbhlh5iAgSAClFAg3B5BKgJAAkGYGCZkicdf7HHfEkcfhKv7x0jPf/faLIlLSMAyZWasDiAiSAEsxAq21Uosye/Ra6jxPtRaSkemlSOq9Q3D3WktrUYpHBMGpzXvsscdyuZqpeZ4luBcvpfc21BoRRu9rog916D0BTNPS3UmrtZjbcjnVobbWQSqTYOtNKZgVdwJTa25G2m1uf/BvPeo5uNb4zEXnnP+uv05lLTUyizkIkoAEGm2eJ6OVWtZv2O2kZ52xsrIeV7F508azz3g2BDqLldXV1VJL9E5zEsVLZGTmMY+8/23vcjKuYZLe+64//ezHPzXN8zAMPcLNSGamuyvT3HvvtVaQ8zwNwwAgIyJFwMwykyCINco0d5JmNs0zlDQ3UNAe17nOY5/2J9e93q/gP6EkXG1brvjhJ973hu984yvL1dVaa2Qik2QPDbWkRFBCa81LmaeJZpJIttZJgjSz3jppEkiaGYDlPJMA2HuvtbrZ3GYvJTLHYZimyUuJHqWU3ts9D/uNu9/ndxcr6/F/5YLzvvTZi57tZiQl9AgjS60RHWuENal081QOwzDPMwl3j0jt5G4RWUqVsrVGgC+NzEoAAAu5SURBVLaDu/feQRgtMxeLxXJaRuRQa2utlJJKCGtIAkyFm6fSaBFpRjOLCHePDKwRjBYRMBrhXn73ic/a+9aHYBe2bvnWG196qpfSWyOZIS8ePSMjQmsyBTIj3cvcW6ZoVKaXmpmAenS3IgmAJAjuLiiVxBpKMrOM8OKZypS7QSItMgC4+dxmdzNzSe7eWjMzAJnp7plpZplpZnf+zWOOOPI4XMU3N77uvHM+WErpPSI6iXFczPNsZq3Nw7Ao1QBlppGR2XsMtdIISVBmmpm7ZybBubVhTa2ry2XvvdRqZO5kZiRba4S5m9eavdPYm2r15XIi6cVbaxFZSp3nqZaaEIDW2lCHaZpLLRExjuPq6lTcJEgABNBLOfbJz7nZfrfDtcaVW3/0ij988jzP2ImkBECRSaAOQ/Teeh9KEfSwRzz6tnd+GK5i86aNb3vtaQAzBSmU4zDMc3M3CVIuFove+1HHHX7goSfimre6fdsbX/n0H3zvewQTqUzSIsLdI6LWKgnQ3No4LCK6Gc2891hTiwswN6V6j1I9I0lKysxhqNEzle72iCf9wf4H/Dr+T5SEn4akzRs//ukPvHm5nKbllKnFYmV1dZt7AdB7SKpDtWLz1FKKFqWW3rsk0kjLjOK1t0YaTOZlbjuAcDqNZgYhUwJqLXObIay50U32ue9vP/bmt7wr/h9ccN6XPvvhZ1evNLbWco1yMS56615Lb30YamZGDxolmXlmrKxbWa4uIYFrLBVunpEgINEMQh3qtm3bzN3NSAICmJGCbKfMVKaZm/s8TeYOgoC7A2itmbHWGpGSMtPdIbTezIxGCCc99rS9DzoUu7B1y+VvetkzM5M0JSI6aJlp7vPUQGQEaYBJSmKeZ3fnThEJoPcwY0ZYKRRAgCAIICK4BjD3eW61FkCkZQSNZ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"},{"id":"38e25fd2-12d6-4d6f-93d9-a643ad840c58","height":19.02,"width":35.89,"perimeter":134.83,"area":314.58,"image":"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0oVV2QFwpGEmzPHwHtnXVeKAgkEJCCQRGaCRGUhxHOf+zx+4ud+nQNxlfTgucfqy//lI2QlY12JmXhr/F9FJUQVkljHREBmYSbkxowgM3HvjHUFiYyiqgCRWWQGBWQW5s5RRFKVRAa9bdjvdpg7MqcqGWPSesMkMouiKIqYgbuTmUiiqohI3A0hnvOc5/L6t3+EA3GV9NB9j9d/f/RXWJbOGJOIJKto7kQGBajEzElmcVQFBciMiMTd2e9W3Bvr2JOZuHXMRFWRVSBjXVfcnYjA5MjEGAM3Z86kVLg3spKI4GtkImYgiSpwcyKC1p05g6rEzJhz8g3f8Hxe/3Mf4UBcJT1472P1p3/0a0gciBnBfrcHCQkiEoorWu/s9ytZBTKgyEyWvuHy5R1FUYgqaK2x7lf60jmKCKogK6DEFSXGGJgZMmONQWXh7vTeqSoigsrC3MkMKJEZyAwzse5Xlu2GjCRi8vXPez6vf/uHORBXSQ+ee6y+9NgHyCooGGNSWSSFu5OZgIg5KTMigoiAMnpvzJhEJFlFZuLWkBkRQWRCFogDQwVIQFFZmDuRwYzA3IkIzIzIwM2ZM9hsNkQEYx3IjKoEit47VTDnAIQ3QxjPeuaz+Kl3/BsOxFXSb977WP3JEx8kM1nXlTmCkiiBmzPGYLNs2e12ZCbWnL/1ohfxlOtfQE2gQVHUCuriioAxky5RHHRYB3jBrMIlvAokjtYqzERlMQAHFon/VcV1EkEhg4xiIkSxlZEUFzMRoktsJK674Tq+7TtfzYG4Snrgnkfri5/5l7g7lcWIQG5kQswAhLszZxARtOb82B0/xVNveiV/hYm/BP3mvY/W5x5+HwGYOyaRmUQUlKgqJGOOFdyogte/7Q087aZX8hfEX3O6/+yF+uNHfoXIpKpwc8aYHEUkklESY10xN0C8/m0/w9NueiUH4hqgB+55tJ54+P0IQxKSiEpMxn4duDtCRCQzBmbGT/7sG3jaTa/kQFwDdN/ZC/XE77+fAjKT1jozJlVQlYCYcyKB0SiKf/z2N3LDzbdxIK4Buu/uC3Xhd99L6w0K1jE4mnOy3W4Z6wREVmLuVBY/8443csNNt3EgrgG67+yj9cjv/DPMG1BEBEhUJJKDBFVEBNYbmckb/skdnLn5Ng7ENUDn7r5Qj/3H9zHGoHmnKKpEZiKKLK7ISgqQxBvf8SbO3HwbB+IaoHvvOl/nP/EeMqF7IzJIiYjA3JhjIgkEQmQmb/6Ft3Lm5ts4ENcA3XvX+XrkY+9hZtC8YWbMmGQVVVAqhJBEZmJm3PGON3HmGbdzIK4BuveuC/WZj72bmYHMKAqKK6qKqgKEmXFUVbz559/MmWfczoG4Bujc3Y/WJ3/7XRzJREURGZgZkiFEZtKXzpxBVfGmn7+DMzffzoG4BuieO8/XZz7xXvb7Pb13xjowN5BRmRTCXZhEZlIFb/mFt3DmGbdzIK4BuufOR+oPP/5eMpOqIrOQxFFmUgWtOWZiRmIm3vRP38yNz7idA3EN0L13Xag//Ph7mXMgxIzA3akqjjKDqsLciUhac97yjrdy5lm38RfEX3O6587z9emPvRtkREwiAndHgszC3QBRVWQmZsbf/rZbeOZyA3qqqLVgACsHBYiiEIVkIFGZSCIiMHO0QK1cUZXYxtntgo2EXFQWaxULBxIyo7KoSqoKM+NrqoqqwsyoKhAIoyiEKAqqwISdGnWxyAzMnW965ffxpKc/W7r3rvP18EPvpC8Lc04iAyFkoqqgwMzIDMwdCjITSZgZlUXrjXVdcXNmTARYa1Dg7mQmVUllIROZiZlhZow56c3JLCoLc+MoKxGiqnB3IhKZoAqZEXOyLAtjDkyGmbGuK5KoSswcM0MSEYEkZEbMSWvOmMFb73g3N37Li6V77nyk/vDj7yMiMDeqkjkmkoCCElDIDG+NOQZVhSQkEEbrjf1ujwTenMzCzJlzYGaYGVWFmcjkoDATkjHG4Ki1xpyDzKL3jruTmRzNOWmtkZlQEBn01skq5hz0pZMzKY4KM6OqgELmUMUYg2VZiAjcnTknb7vj3Zx54S3onrvO16c+9m4qkyzIDEwChEwIcZSZCJEUlYmZ4d6oSiKCqqKqcHfcjBGBSVQlICRxhYRJRAStNRDMMXF3IgJ3JyJp3ZnrZLPZEJmMsSKJquKotw4GYx0ctd4wGesYmAwoJJAMCopCEpIxxoqZ85affhc3/s1b0D13nq9P/857MHfW/R4oJEPiQEQE25Mt67oSM9gsC/t1xZtTWZgZkphz0FqnqqgqMhMzYeaYOWPsOZKMAkziaMbEzZFEVlGVmAwKshJJuDuZQZWAQghvTlUx1gGCqqK1RlVhZmyWhTEnMYOi6G1hxkCAJJBxx4//Ijd++y3onjvP18MP/RLmBggo3J0qiAhkwhBIZAbuDTdjRhJz4r2RMYko3A0zY87A3agqqgqqkBlVRWuN/bpnu90yxyQzaa0BBYivyUyqiq/JLJalM+ekqiiK5o0qyAqaNzITd2fMSTNHBmNMWmsIWOegtU7OAMGb3/AubnzhLeieu87XHzz0S1Dg3nA3MpIZE3PHJI7GnDR3qgozIyuhCkrIRFVi5sw5yUqaNyoLBGbCvZGZZCaZgXtjjMFmuyVjQgmZETGRhCSyAldDEjOCoyIxGVVFZtJ6JyJYeiMiqCwKMDOOqoorJKoSM2POoDL52Te9lxu/9RZ0z52P1MMffScFuDkgMicyo7I4cncQzHWCoLIwNyICSXhzcgYyUQVVhZkBoipZloWIwMzIDAoQIivJKEzC3SkKM2POgTCKIjNZloX9fk9rHaooAVVQBSZMTmaQmUiiqjAzjqqKqgIK90ZVkZUI8daffDc3vugWdPbOR+qTH30XICInktObk1WYiTkDKNwbY0yqEkn03hljJRN6axRQVbgbMwKqWJaF/W6Ht05VYibGOjE3MpO+dChAQHFFRGDmeDPGOvgaM4MCBEXh3shIWjNmBJWFmxGRyKAK3B0h9used0MY3pzM5OjNP/EubnzRLejsnY/Uww+9EzdDElUwIzCJ1jsRkyuKK7ISNycrWZaFdV2RwN2JSKqKqsLdiEha61QlYwwEyAwzw92Zc4LAZGQm2+2W3X5HRLL0zhiD1hpZCcUVkgCRFbg5WYnJiEjMhJkREbg7kcEVBSYjIsCECdwbb/zpX+LGb3kxOnvnI/XwR99J945MjDHITLKS7WbLHBPvjTkmy9LJTGIGMlFVmDmZwcnpCbvLO6gCCcnICtycjAQBVcgMCvrSuXjxIuaOmyEJKEBkJEVhZpgZmUllYuaYO+t+j7mDQIC7czTGwEz03olIqorMxN2hYMyBmSETFLz5J97FjS+6BZ3994/Upz/2HmZMem9IxpwTM1ElIoJlaYwxkQwJMoujMVZ674CQQBJmxlFEUFUUhcuRCUlUFutYcTMik9YakqhMkJAEFGNMzA0hTEZRZCW9L2QEmckVEiroy8J+tyMraa0TMem9ExmYBIiI4PT0lHVdWdeVt/3Ue3n6t9+Czt75SH3qt99DZRI5aa1zZOZkBnNOzA2TEZEcuRvNG2OszEh676zrntY6lYFMNG+AyAxa78QMigKJmJMjdyciMBOSAwUSVGLmrOvAm1OZuBuZRUSy2SwUMNZBUfTmZBatNaqKzGTOSWuNzIQCSaAiIjEzzJ07fvwXefq3fwf6wn/9Yv3Jf/sUIKr2iIUrVFAgGVUTWadyBRngSKJqUAmyBhVUDaQNVyiRnMoJFMVEbEHiiiqQoCZVEySkBUiqDElcUUUBkhCQWciEgKoJOEgIqJpIjQKqJkIUglqBBRRIHWoCxt/41u/k+qc/E1UVB8X/v/R/APNFoUiELEibAAAAAElFTkSuQmCC"},{"id":"366aa298-24d5-4eca-9342-6b00d834eb5b","height":20.09,"width":19.29,"perimeter":102.66,"area":183.57,"image":"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"},{"id":"22efee64-14ae-4d64-b71f-1f01f445c062","height":8.84,"width":8.57,"perimeter":52.67,"area":54.03,"image":"iVBORw0KGgoAAAANSUhEUgAAACAAAAAhCAYAAAC4JqlRAAAGa0lEQVRYCb3B78vddR3H8efr/fme60opMPJHuuaiH0SQYGxTXGKJlPkj3UT3q6S5TUkxmhZBoOQmxkrdlEiIgrpRUN4MuuGtCPoH+kPO5s6VeZ3z/bzfr87ZFsaK7th6PPTO397mr2/9yJvvzFHAZH0dV4JhvhgxRhIK0VpQZXo30aBsykXTQNlkFUFgFxh6dhZZNAVZiQFnse0zt7LzrqMsSRuzM/zlzeedZXoWrQUrfeysX/EBFosRbAz0noSCclE2ZkUsFp21yRrjOIIgKxHCiD6OSEFVkZWgxmdvuoU7Hvg2S9LGbMqff/e8FY3MZKWyEwrSkC6qzGQyYcxOjp2ICYvFgggRBEmxGDtVRgi7mM8XtDZgTC8jhMuMvfjc9tv48kPHWJI2ZlP/6ffPkb3ILBTChmiNzGIcRyIaGMqFC9JFRDCfzxFBRJCVVBoQiQFRvShDzw4WWYkxN++4nbv2fIclaWN2xm/95gcEghCZSWYhBa4iWmNcdKoKhbChsthczJkMaywWC1BQNhCAmC/mRDRsY5vWBjbnm0QERtz0+du4++FjLEkbs6n/+OvvA0KI7IkNMQy8++67IDFpE6oKC+abc4bJhL9vbtJaowpsU2UqCwkKKBunidbo40hrjbEnWNx86+189eFjLEkbs6n/8MvvkVnYgCCzMAaLzI40UFWUjQGnKcA2vSdlY1ZEVQIiFJSNEJmFbRSiu9h+y+3c88izLEkbs6nffOMYkpBg7MmkDSzGkauuvp4v3HsUO7lAGIMFmPPKWIBBIVygAKdRE14AAQTQDYO48oMf4uprbmRJ2phN/ebPnsE2tulVVBUu+PC1Wzn41E+4DMRFms2m/u3rT2NEZZFlxjFZW5vwketu5OCTJ7lIXAaazab+1ctPUWXKJlqjZyLDtTds49GnX2ZJXCaazab+xclvgUTvSURQZezihq2f4tGnf8xF4jLQ7NzUPz/5LWxji8oEhG0++rFt7HviBLZ5H7S+vs4wrPGfaHZu6jdeeoLqplwoArsoGySGYUJVcZ44TwoqkwtMGwZy7JRNtAY2K9EakvjKgwfZftuDLIlLaHZu6tdeOEJrgQ09O601yoUkQGDOq0qQsMFlhiHILMqmtaCyaK2xUlVEBLa595FD7Ny1myVxCc3OTP36S0cQQbmoMisCDChEZSEJCWxQBJWJJFaEyEoigqwCm/MkQuK+vYfYuWsPS+ISmp2d+rUXjzAuRhSBEBa0CKoSCCJE7yOtDdhGEq4CCYVwGUmAsfk39+09xM5de1gSl9Ds7NSnjx/BmBWXISAUVBbGtNYQUDYrVUVEQ4LMBIEUYINAiIiGnbRo3P3QN9ixaw9L4hKanZv65ee+CRIhYSAkQNywZQt7jzyDVIB5jwADAswF4j0GxD9N1q7hiiuvYklcQrOzU7/ywiFCgSRchSSqzJZtn+DxZ0/zPon/QrO3p37txFGyJ9GClZ6dtcka111/I49/9zQXictAszNTnzrxGDbnSaL3zjAZ2LL1kxx95lWWxGWi2dmpX/3hIRRBZjIMA2B6Jlu3fZrHnz3FReIy0Ozc1KePH0EEWYlsEEtiy9aPs/+JF7HN/5jW19dZW1tHszNTv3L8McQFkrBNSBRmaBMykwghCTAYspJQUFVMJhPGntjF2mRC7x0QEigC29gmInAZArbfsZ97H9iLZmenPnX8MLYBAaZFI7OjFkiCAmSyTEjYxjYtgnQhhBDlQhJSAKa1RlVigyTswggBO+48wH0P7EOzM1O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OfSign":"120","otherDimensionOfSign":32.39,"width_of_smaller_line":20},"timestamp":"2026-01-29 06:48:14"} 
[2026-01-29 06:48:16] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_depth":"1","sign_type":"Flat Cut Acrylic Letters","mounting_type":"Flush/Stud 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\",\"boxArea\":\"478.95\"},{\"id\":\"38e25fd2-12d6-4d6f-93d9-a643ad840c58\",\"width\":35.89,\"perimeter\":134.83,\"height\":19.02,\"area\":314.58,\"image\":\"iVBORw0KGgoAAAANSUhEUgAAAIYAAABHCAYAAADCzT+AAAAgAElEQVR4AezBCbylV1Xg7f9aa+/3PaeqYoAGgorAvXARFJFBRZupDS2DAzYfYANJCGGKhBCIaMtnQ6sgCAmjUhWgkSEhSSUQJpEMJAabQZBKBUSqgoIoCgItYUjVvefdw1p9DkNr82tbhgSphOeRv953Hv/j4neGmBEeiAi9N1bMEqZC98DMcHdW7n3/x3PETW8ufNf/4XNXfpY/OueU6L2TLFF7RRG+RITeO5YMPBAR3J3eO4iQzPiq//Bzj+Zma7dhSfg3Ivv27OS8sy+J1hoiikdnZRxGeu9074gIOWcIqLXy8Cecytr6hvBd/4f/ceGr408uehO9dxAwNVSVUgqqiohiptRaIaD1xmw2o7UGEdTeMVV+8IfvyFHHP50l4d+I7LtsZ5x35iW4O6JCRODujMNIbRVEUBFWpmli5ZEnv4C19Q2WhO/6kq2DV8Vpzz6eg5sLai2IKCklenfMBPdAVRFRvHfUlFoLKSVyHpimiYhgHGeUOnH8k07lJjfbYEn4NyD79+6K3a++ABXBCQhQVUSEICCglEpKRnggKhx70nNZW99gSfiuL3nXpefFxW8+g5SMMhUsZSIcVcNMab1BQOsdM4UAVWUlIvDuWE7gjkdw+zvdnQcc82SWhH8Dsu99O2P3ay6AAFUFBBForaGq5JRpvePRSZpQEx72uGeztr7BkvBd1DrFzmc9his/+zlUFFFBROi9Q4CoIALugbujpiRLtNbIeaD3hogQ4bg7loycBk749edz+A1uypLwbSb7L9sV5519MbVWzBIRQffOiqkhIpgZpVZarQzjwDGPP4W19Q2WhO9i73vfHm8++wWICMkSrTW6O6pC7x1RgYCcMxEgAhFBaw1VJaVE706E4x6kbCQ1fuwnfoZ7P/h4loRvM9m3Z2ec+5qLUFW6d0QU7w0RRVWJCGazEfdgc3MTEeG4Jz2ftfUNloTrOHePl516Ip/8xN8DQQDeOmnI4EH3jiUjWSbCiQgiAoQlISJIaogK3TsEWEpEOCllTnrqLrbv+HcsCd9G8qH3vTjOPeNCUk4sFhPJDESJcEQEEaG3jpoiKkjAMU84lbX1DZaE67gr9r4ndp/+LEQUQejeERFSMrw7tTdUFA9HRRAEUWUlImitkSwTBGZKbZVxGGmtIxLc9+cexF3+4zEsCd9Gsv/y02L3K8/HkjFNBQgQSJYAQUTovSEiuDtmyrEnPY+19Q2WhOu403c+Jf7qig8Bgari7uQh492JCATBktF7x8yotZJTJgTCnZQyEUHrjXAn54FWK46jqhx++PV43FNOYzbbxpLwbSJXXH5anHfWJfTeaa0hIozjSCkFRIBARSmloCq4B4980gtYu+UGS8J12Cc+vjde8XvPpNZCskREYGrUWhBRRITuHTMDBPeOiDAMmcU0YWqYGf8kEBFKqVgy3B1FeMhxD+fWt///WBK+TeRD73txnHPGhYgI4Y6lhIjSWiWCpSDnTC2FPGTC4ZgnnMLa+gZLwnXY7j/47fjrD/8FvXcinFoqeRzx3kFARKilMp/P8e50b4CwknOm9457BxGGlOm907yRLKGmREDvjSOO+F4e/eQXk1JiSfg2kH17dsbu0y/AvWOWCIfA6b2Tc6a1RkqZCMd7R0w57onPZ219gyXhOuozn/pwvPS5v0GZCjkl3B0R6O4IgiUFhNYaEUEeMrUWZuOcWguqxkopE8MwEATZMq03hjzQWkVViQhWHvKo47nlbe/DkvBtIPv27Izdp19ABKgKRNAjUBFSSvTeUVNMjYhg5agTns3a+gZLwnXUW844JS7b+24iguhOSglVZWoFAnLORAQpJWqr9NoRIA2Z3hqIkJJRWwUHFFQUVaX1RhJlHGfUUogIbnXrNX7p+OehqiwJ1zC5Yu9pcdar3kpE4O6kZPTupJTpvRMRRHRSSqSUaK1z7EnPZW19gyXhOuiz//jJeMkpT6ROE6VWLCXMDCIQESKCiGA2G5mmwpcFwzDQWqP3jqpCsBSYJdw7lhPhQUQQrZOHDB6oGe6dhx3/G9x848dYEq5hsv+ynbH79AtRVVYWiwWmRkqGqOAehAdiAhFEwCOe+DzW1jdYEq6D3nnhi+Pi8y9CVXF3RAT3ICIYhoFhGLjqqqswM1JO9FrRZJgZtVTcHRFhPszw6OAQBNM0YWYMw4AoS0HvHUuJ3hq3/9Ef4uePeRZLwjVM9u3ZGee+5iJKKcznc3rvRASiQnhAgJoCQUqZgwc3efSTX8ja+gZLwnXMF75wZbzslBOZpgUBeHdSSvTeASElo7XKiogQEXTvHHHEERx2/e+lN2elLb7Apz7590hAdyciMDPGcaTWipkhGrg7qoq7Yynx0OOfyU1vvsGScA2S/Xt3xTmnX0htFRVjNhtxd1prpJTovTObjUxTQVgS5ejHP5u19Q2WhOuYy9/1injrG99K7x0PZ8gDvXU8OqKCoIiAqNBqIzwYxoGjHv1Ebn7ru/NVV/7Pv+aVL3wqZVoQARHOMAxYMnprdA9EQAA1wT0QEe58lztz5H96CkvCNUj2vW9nnH36BagKvTVQIVnCPVAVVgShe0dVMEscdcKzWVvfYEm4Dtna2oz/furj+NznvwAR1FrJKYNA784wZGqtpJQwM1QVd+d7v+/7eMQTX4SI8M/90bmn8P73vovZfMbW1hbjMNJaZdu27WxtbaGquDspJSBQESKChz/xhdzoiO9nSbiGyP49u+Ks09+KWcJbZ8XDGceRMhVElYhAVfDuqBnHnnQqa+sbLAnXIZf/2RvjjWe+gpUIR0RYGYYBdycicHdSSogKpkYphQce9QR++M734mt94m8+wKtf/JuklIlwIgIRofXGkDM5JTyc6M4wDtRS6b1zl7vel3vc/7EsCdcQ2b93V7z2NW+j985sNqPWSu8dENw7KSUinAhwdyKcR578QtbWN1gSriNaq/Hy5z6WK688gHun946ZsVgsGGcjK96dbEYeRkqZMDWud/3r8+hf/X1SHvlaEcEbXvlf+dhHPoolY7HYYhgGWq2M40BrjZQSgqAKvXc8ICXj2JN/j+85/EYsCdcA2XfZzjjn9AsRBDMDgjwMlFIwNbp3RITaGiaKiHD0ic9hbX2DJeE64gOXvT3OO/15mCo5ZUopzOYzWm/gYMkopbBjPmeaCkigohx5v2P5iSPvz7/kwx98B3+4+8VIBL1VhiGjqvTuRAQezmw24t6JCIZhoPfGj93tF/nJez2UJeEaIPv27IyzX30+Zoa7s2KqtN7JKbNSa8E96N6Yb9vGMY8/hbX1DZaE64BY2v2SX+NvP/5xylSYzWZM00Tvnfl8jrtTayGlDD1QE0xB1DjhqS9j27bD+Ze0VnntS5/MJ/7uE+ScMVOGYeDAgYPknFATVlSVFTPDVJjNZzzwMacwm38PS8LVTPbvPS3OftVbCQI8EFMEofXGyjAMhAfuTs4JQXnYCb/L2voGS8J1wEc+fFm89hXPJqeMh1OmCY9AREgpoQHhjprh3rFkiMDd7vXT/OS9Hse/Zs8738I7zj8DCLo3tm2b01vDUqK3RkoJFUEl6B6EOzt27OB2d30wd/zJ+7AkXM1k356d8bqzLibC6e6YGiklPIIyLVBL5JRotSKmeHeOPem5rK1vsCRcB7z2lb8VV/z55SRLmBkRQamVIWdaa4zjiLvTu4M4Q06AcNzJz+MGN7op/5rF4ipe88IncODgQRTBVJltm7O1WGBm5GRE70QEIsKKirLj8MN5wGNOZRhmLAlXI9n3vp2x+4wLEBXGYWRzawsREARVpfVGThkISqkEwaN/5UWsrW+wJFzLfeoT++LMXb9D751WCzkPREDQEaCHY6KoKb13WmvM53N+5A534mce9F/4eu15x1nsfdeFeKsoQgi03hlSQgQI0GQoAgHuHXfnbj/3SG5zh3uxJFyNZN9lO+PsV5+PqTEMAyJCa42VUgoiwkrOGVOltsYxJ57C2voGS8K13JvPfF5c8YH3EAhCoGYgQZkmLBnjONK9IwitVSIEVeFhJzyd7/+B2/L1OvDFT3Purqfg0ahTxZIxm80o0wQKKSVUFFFBEXrvjLOR7d9zQ+539G9hllgSriayb8/OeN1ZFyMiTKUw5Iyo4N1REVDBe6f3TkoJEeGoE57D2voGS8K12JX/+DfxklN+hWyGIFgyVkqpDDlT6gQIKSU8HBEggpvd4nb80mN/i2/U+y46jY/u/wAHDh4EAjNjGAcEIcIhQBSSJRaLBdvmczzgHr9wFDe5xd1YEq4msm/Pzjjn9AtBgt6drzIzVJXwwMzwcLx3AnjESc9j7ZYbLAnXYpe85SWx5x0X495ZiQhyTtTaGIaMiCAC7o6qQQS1Nf7zY07mFre6O9+oz3zqY7z19KcjIrh3UkpEOMMwEOGoCtNiYjab0XvQW8Fy5gY3vhX3fsh/QURYEq4Gsm/Pzjjr1W8lWyLlTO+d3jsqSqkFs0Trlfk4JwhKKTzy5Bewtr7BknAt9cUvfDr+4NSTiXBab6wEkMyAIJnRWsU9EIFhGGitcsMbHcFRT3gRZolvxrvfciofev/7GcYMEYzjSG2VpIYlxT1QTSwWW4jCkDOqxpEPeiz/7iZ3Ykm4Gsj+vbti96vPR9RIatRWiXBUDFVlmibykPkSAXfnESc9j7X1DZaEa6l3XvAH8advPx9VxcOJAFFBAgInp4R3ZxxHai2IKjkbR/7CUdzmDj/LN+vvPvJBLn3D87EkqCgBiICKMI4Di8VEKZWcB3IyQhxB+IFb3pa73PdJLAlXA9m3Z2ecd/YlRDi9O2qGilBrxcxQVVpvCIKqQsDRJz6HtfUNloRroc2DX4yXP/fxtFIptZCSomK4O0GQzVAV/kkgKhx++GE8+JdfyHy+nW9WRHDhmU/l85/9DN07pgqqtFpQVWazkVo74zCwmBaYKckS7s69HvyrXO9Gt2JJ+BbJ/st2xe7TL6D1hoqioqgpqkq4A0L3Dghmiohy1Am/y9r6BkvCtdAH33N2XPCm15NzIiJoraIqiBgi0Gtnx445Hk7OiVobK3e+689ylyOP4lv10Sv+hPdddAZmirsTEYgIBIgJJgkzpbeGdyfnjJqy9oO34UfueSJLwrdI9u/ZFWeffj5mhntgppRSWEk5YWa02hjHkd47EcHRj38Oa+sbLAnXMtM0xatf9Ct87rOfxExJmlgRFVQFESHnTG+V1hsB5JQ5bMd2fvGRz+B7Dj+Cb1WtExef/TQWmwfwcGqtEDAOA603VIVt27azeXATM0NEEAV3uOcD/xvXv+ERLAnfAtl/2c543VmXUGtFVXHvqBjDONB6o7eOqpJSIiIotfKIk57L2voGS8K1zEc/9Oa44PWvpUwTgpCy0VplxcwQIIBsRjJla3OL+bY5t7zdXfnp+/8yV5e/fP+b+eC734qH4+6oKitqinjQeyPnAfcgIvBwBOF2P34XbnOXR7EkfAtk396dcd5rLib4J713hmGg984/N5WCAI88+QWsrW+wJFyL9NbizN8/mc9//rPUUpjPR1pvrLg7qspKMmUcBlqtfNUDH/ub3PCIH+TqcvDA57norKfSSsHDiQh678xmM7x1RCCC/83dWZnPZxz50Gex47DDWRK+SbJ/7644+1XnIyJAAIKqsuIRmCrTNJGSISKIKMeceApr6xssCdciH/mLd8YbX/MC1IRhHFhREUopzOZzeiuIB6LCkAciAkvKLW69zk//p9/k6rbvPa9g/2Xvxd2xZLTaSDmjIiwWC8yMnDMRwWKxIKVESok7/NR9WbvDL7IkfJNk356dce5rLiI8UFNAgKDWSkpGShlBKHVCRDEzjjrh2aytb7AkXEvE0vln/lc+9td/SykTOWdMlfAAASJIyeitISqoKJaM2Thyt/v/Mje/5Z25un3uM//Apa/7bdwdVUVEKKUQBDkPuDsiUGph23wblhJXHbiKw3Ycxn2OfjbDuI0l4Zsg+y/bFeedfQmlTFjKuDvhjoigqgggqrg7pUzkPPDwJ5zK2voGS8K1xN9+9INx/tnPQYQvEQT3jogwG0e8OyFB751hGBBAVbj+DW7I/R7+u6gq14QPXPpiPvaX+xGBxTSRzCi1knPGzHAPRAIVIwhKmRjGkfU7Pogf/fEjWRK+CbLvfTvjnNdcSEqJ1hoiintHRBARRCBZJiSYtiYQOO5Jz2dtfYMl4Vri0tc/I/5q34cRAVWltcY4DPRwVJRaKykZKWdUFTwQ4Kfu8zDWb3ck15QrP7OfPz7vhbTSUFMiIMIREVSViGAYBjY3txCBcRxZbC24wY1uyM885FlYyiwJ3yDZt2dn7D79AoYhs7m5RUoJRBC+TFVozVEVVJWVY048hbX1DZaEa4FP/v3H4s2vehrhHe+N+bbteO+oKuM4Mk0TgWNmuDsmighf8qN3ugPDDiGCpWAlp0yE4+4EgajgrWMp4RGYKhEsBRDg4BGsRAQpJdw7akav8KHLP0gpFVUhQhmGzDQtGHJma7HAkjEMI5sHD5JzRtWYz+b80N0ezK1ue3eWhG+Q7N97Wpxz+vmA0Hon3FFVVAQ1JRxab6gZ3jsiwnFPej5r6xssCdcCf3rh78W+yy8johMRDDmjZmxtbTGOI7VWhiGTUmKaJpIlkgorKWemacK9k3Om984wjnh33B2nk1PCzCBgURaMw0hE0N3ZNp9Ta6XWCgHjfMbBgwdJouScaa1hOeHumBmlVJJlFosFaoogmBkRQYSDKK1WxnHk8BvciHs/7BmoKkvCN0D2X74rXn/WH9O702pFVRjHGVOdIEBVMDUObh0kpwF357gnPZ+19Q2WhEPclZ/9h3jzy3+DwFERBEFNERG2trYwNcbZSCmFcRypdQICEWU+n1NrxaOTckKA2XzGVV+8ClXFVPFwRJQVdwcRhpyptaJqIEAEqkp4oKZM08Q4jJRSWEk5UWuDEESFaVEYcsYjiHCGYWCxmBiGgdoarTbGcWSxmLj3Q5/ED6zdmSXhGyD79rw4znrV+agqgiAqiAi1NVQEdyfnTOuNZImVY048hbX1DZaEQ9y7Lzwj9l9+ESLCkAbMlN47lowyFSIcVcFSppaKEOScmWph23xOEKgorXe8d8ZZRkXo7iAQPUhDxnunuxMeILBtPmMxTbTaEFVMFRGht04aMtEDEaHWhopSW2UlD5lpURhnA4utgqqCgITg7pgZCExlwnLi+2/+w/zMg3+NJeEbIPv27Izdp19I90ZOmYiAgNYbOSfcAzNjpfeOiHLsSaeytr7BknAI2zx4Zbzh5U+hThOK0ryS0kCphXEYiO4ggaowm88QEUqZyMNAr40VD8fUaL2Tc6bWgqqRc2ZaLFgRVcZx4KovXsVhhx3GYrFAU8JEOXhwk2EYCIKcMu6OmVJKJedMKYWIABRVpbeGmjKfz1gsChGBmrK5uUX3zmw2Y6XWBgTjMOPeDz2JI77v9iwJXyfZt2dnnHPGhbgHK2ZKhGNmgNC9IwhmhghEwFEnPJu19Q2WhEPY+97xlviLd7+W1iopZySg1IKKklJiGBIiwoqoIEAeBspUqK2SU8bMKKWgpuSUOXjgAJqU2XyEAEvGYmuL1joqhlmmtYKg5DFTpoKq0lsn5UREAEJtlZwHeutEBGpGbZUv8cCjY5ZJyRA1Dhw4gIiQzCAgBGqp5JxZv+0dOfIBv8KS8HWS/Xt3xdmvOh8Rwd0REdw7OWda70gIvXfykDFVguDox5/C2voGS8IhqpSD8fqX/RoHr/oiZomIQAREhN4d3JnNR9ydlBIRQUqJiCAiKKUQEcxmM7o7AkQE3jvdnZSN+XwbW1tbEEHvndk4o/ZGqw0VQc2otTLkkalM5JzprWPJWEwTljK9N3LOlFKIAPdOSolWGmpGzplSCt07yTIeTusNIggRTBKqyoOPfzo3uNEaS8LXQfbt2RmvPfNtqCqtNSKcCFARRAURgQAxITwQFY4+4RTW1jdYEg5R+/eeH3928TmoKqpKaw1RYSXCqaWwffs2Smlsm8+orWFmpJRZLLZIyejdab0zG0dWaqsQICIIIGZEBL05ZkqtlZSMWhoI5HGg1Yqo4b1TSiE8MEtoMiwZW5sHSWmg1oaZUqfCfPs2am301jAzPCAI3ANEiHBUjd4dd4eAO931P3D3+z6OJeHrIPv27IxzzriQlYgAgggYhoxH4L1jZqgqQdBq49iTnsva+q1ZEg5BrZX4o1c/jc/946fIOaOibG5tYqYMOVF6QxFmsxmCUGrB3fEepJyYponZOMejIyJEgKri3lksJmbjiIeTc6a1Rncnp4yI4OH03imlMJvPaa1Ra2U2G2nVUVUW04KcEiu9ddwDS0ZE0HvHUmZRFhCCpUQtjSCYzWa0VqmlYinh3dncWrBjxw7MlKNPegHXu/6NWRL+FbJv787Y/arzGYYBM6O3TmsNFHrvqCgezmycERH03jnmxFNZW99gSTgE/c2HL453/OFZhAfjfGSxtYAAS0LOme4OASIgKoQHgjKVwmw2Eh5oMspUaK2RUmKl904QzIYZpRTUlHHMTGVCUHoPkKDUirtDBHkYaa2RkuHdsZw5uLnFkIzuzjiMlGkiVBiHgalUIoTFYgs1w8SIgIhAVSmloiaYGt2DWgqWMxHBPe79M/z4PR/NkvCvkP17d8W5Z1xIRDAMA7133B0VRVSotWJmCIKI0L1zzImnsra+wZJwiHH3eOtrfpsrP/1xVJWcMotpQc6ZlBR356u6d3pzAkElcA9SMlQVUHrviAitNUwVNUNVCQ+2FlsMwwAq9N4RhGmaSDkDgvcOEuQ8UEtFRIgIRJWtaUJFEDUinAhQVdwD743FopJzRkQRCUAQUVYObh5ERBiGgdYdAjycZImUBx75qzvZseMwloT/B9m3d2ecd+bFeDjhQTJDVGm1kXNCVem1oaqICKrKgx/7O9xifYMl4RDz6Y//abztdX8ABGaGd8fDISBno/cOEQQgKkylYpYYUqaUgnfHsuHujMNAax2PjqhQW+f6h1+fL171BcKh9c6O7duprbF58CA5DwgQEYDg4Qx5YHOxharQuiNq1FpJKREeiCrhTmtORDAMAxEgAq013B1Vo3dHRCi1YMmotUMEwziACNPWAk3Gzz/wwdzuJx7CkvD/IFdcflqcc/oFRAQigkSQLKGqRICKEAREICqIKA9+7O9wi/UNloRDzKWvf3p84mN/i7szjiMHDhxgNs7QpBBQW6W3xpBHAscssZgWeDhmGVGopbJjxw6mxYSZMpVCskQQ4FBbQ1URAXdHRBERWmtEBBHBSoiyWCwYZzMQCHfMEikltjYXuAfuDgQRgVmi1oZaIghEhNYbpoapMpVCAK1VhjzwZYKIQcA0TdzwRjfkuCf/PuM4Y0n4F8j+y3bFa8+8CBFBRFCEVipqipmhJnRvzIYZHs7KAx/1O9xifYMl4RDyP/9hX1xy7guptdF7J+VE9KB7ZxxHWmv03kkpsZgW5JxJmphtm/Hj93k43YUIEBXCg4hARFhRFdyDrxIB74GIEAIEUAIZhXAQhZiCiIAGkgQUcCALtIAkIEFMQAcUcEDAtgd//KZX8LkrP0+EsxIh9N6AwNQQMRaLidlshnsjRAjg5x74GG7/E/dmSfgXyP69u+L1Z19Cbx01BXdMjXEcabXh3tCkmBm1d7w1Hvq4U7jF+gZLwiHkz85/flzxFx9EELp3LBnhwWw2Y2tri4jACWazGYutBarCym1//Eju8tPH8p1m77vfwNvecCZBoKq07hAdRBFARKm1kZKBCLU1PJzv/74b88gnvxQzY0n4v5Ar9p4Wbzj7EkRYEojAu5OGjBBEBB4dM6XUhgAPfdwp3GJ9gyXhEPGZT308Lt79TBZbm4yzGa03SinklBARamv07oAw5MQ0TeScQZQHPvZZXO8G389XCN8ZYvPg59j5jMcxTQvcO6qGJONLAlpvrIgKguDuiAjhwQOOfQq3v+NPsST8X8iHLz8tXnv6hYgIEKgKloyIINzJQ2aaCqrKMCREjQc+8rf5gZtvsCQcGuLyS1/EZX+6BzNFVUAgAjyccEdQSqmIKq1V5rM5rTVu86O35x6/8Ot8hfCdJd71Ry/n0ovfggiIKk6gZkQPWm8kS6gpK6UUVA3vnZuv35JHnPR8vkL4GvLhy0+LN+2+lO6dnDMQRDi1VnJOpJwZcmbz4CZBMAyZO/zkXbjB4duhARroTOmf7uiNFVFBHNwdTIgIRAQREBH6VR3drogAFXQQujs5J1rrCEJKRmudlA0CWm9EgJnSu6MqiAgigojSWwMRVIXwAAERwbsTBLUk9rz9T+jeMFFQQQQigvDAw3EPcs707tRaMVMC4eeP/v+56S1ux5LwHejKz/5dvPiZT2AYBkSEgwcPknOm9caQB1LKRDibm1sMw4C703uHgGNPfDrrt74DS8LXkA9fvive8ro/oZYKKgjg7pgZZkYQ5GQIwoGDBxhSxlKit4aZERFAAIKZoQZEIKYQASLUUklJEcDM8NZZsWREgJqAQ2sNVSOnhCUjJePAgQOknOm9kXPG3VmZjSOBkMy46sBVzOdzSpkYxxmlFAjBTKmtU0vhsB2Hsbm1RWuFcTbDu5NSotQCCLU2ZuMIAhFBbY0b3uRm/NJjn8NXCN+Z4sI3nsJl7/4zWmsIgqXENC1QMwRorTEMI2ZGb43unZQSP/hDd+BBxz2NJeFryBV7d8Ybzr6YYRiotaCagGBFRFARILCktNog+N/GccDMKHUipcQ0TagqIsI4GyEcEWGxWLBt2za8NQiIcCJgGEc2tzYxM0wUEcHdGcYBAsIDERAR1IzWGtmMqRTG2YiasFhM5DzQe6eWwjiO1FaZz7cxLSZaa+Scqa1illhMC2azOaVMIEKrjWSGqtHd6e4Mw0Brjfsf/Shudsv/yFcI36E++Xf74r8/7zdorTGMA61VUsq01oAg50yrDVUDgQ9rd3YAAAhrSURBVIjALBERPPqkZ/K9N78NS8I/I3/5/pfE68+6iHEc2draYsVUsZSAQEUgnBVVYyUiSCmRB8PdmaaJnDO9d1QERBARVMHMwB1BMDM8AiLovSNAypneGyCYGR6B946ZUltnyBl3R0SotaGm9N5QVVSFlZwHWm2ICrVWBMEjqLUyG2fknJmmBYigpngE0zRBCMM44u64O601iCDlzI7DvodjTtpJypkl4TtbnPeqX+fyyz7EkBOmhiVjc3OLnBIeDgF4sBKAmLJy+x+7Jw846mSWhH9GPvLnL4s3nXMx7h1BCHdUlSAwTUQ4vXdSTvTWiQjykBhyQlQppbBiZogIiCARSIBKMNXK9m1zIqCUgpmRLFFb5csEMwFRhC8rU8GSsSIirHTvjMPItJhovTKbzTBLRAQRjge4O1Ot5JRQU0SU1joRQS0FS4mcM6UUzIxaGzkNtNaICFbcHTPjnvf9z9zhrg9gSTgE/NX+98RZL38OEkFrDbNEaw0VBREgCILwIA8DRNC9MxtmPO4pz+V6N7gZS8JXyF++/6Xxltf9MSpQSyXnzDiOTNNE752UMjknNjc3mW+b0XvH3YFgRQRSSqga7s5KSok2FURAVYgAMyUIVAwBUk5AME2FlYjA3TFLQKCq9N5RVUotCEJKidobqgbu5Jzp4dTWCQ/GcaS0Rq+dlDNEEAGtVYZhYHNzkzxmvHeGPMO9gwi1VUyNQIiAcRx4xMkvZNv267MkHAK893jli57Ax//271ixlCnTRM4ZERBRSimICBFBz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DMDXOjeGGpjx0vhVIr4zDHrbDd9tuwbv2e7LX/Rva8+0Z2Wb8fpVS2YtwGTBI/A2ILSVx37VVcedlF3LTpIq644mJuunFOjpu49nvXk4KMEbfCdNWM1WtmtMn2bLN2F9btspbZmp3YYae7ssOOu+JeuAXjNmaS+DkQtw3jdvZ/AXEFZUbrf2AhAAAAAElFTkSuQmCC\",\"boxArea\":\"387.54\"},{\"id\":\"22efee64-14ae-4d64-b71f-1f01f445c062\",\"width\":8.57,\"perimeter\":52.67,\"height\":8.84,\"area\":54.03,\"image\":\"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\",\"boxArea\":\"75.76\"},{\"id\":\"563b7d72-35bd-4bb6-8cc2-a0a564a2f9c0\",\"width\":8.3,\"perimeter\":44.79,\"height\":8.84,\"area\":41.72,\"image\":\"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\",\"boxArea\":\"73.37\"},{\"id\":\"ef0c2b65-7e26-43da-942f-b4232c43b055\",\"width\":8.84,\"perimeter\":33.34,\"height\":8.84,\"area\":31.5,\"image\":\"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\",\"boxArea\":\"78.15\"}]","mockupCreationType":"single","no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","material":null,"application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39"}},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: API Input Data Collected {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","sign_depth_or_thickness":"0.5","sign_type":"Flat Cut Acrylic Letters","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39","material":null,"application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null}},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Looking up SignType {"data":{"sign_type":"Flat Cut Acrylic Letters"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Retrieved Material Formulas {"data":{"sign_type_id":10,"formulas_count":27},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Retrieved Variables List {"data":{"sign_type_id":10,"variables_count":10},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Price Map Constructed {"data":{"price_map":{"material502298":0.5964,"weight_material502298":0.221,"material500287":0.7286,"weight_material500287":0.332,"material500918":1.3929,"weight_material500918":0.553,"material502581":1.6214,"weight_material502581":0.664,"material500695":2.8464,"weight_material500695":0.885,"material500414":4.4643,"weight_material500414":1.326,"material500636":7.7857,"weight_material500636":1.99,"material502107":11.4607,"weight_material502107":2.809,"material500611":0.0062,"weight_material500611":6.2e-6,"material500214":0.0025,"weight_material500214":2.5e-6,"material501055":0.0155,"weight_material501055":1.55e-5,"material502098":0.0286,"weight_material502098":2.86e-5,"material502079":0.0163,"weight_material502079":1.63e-5,"material502350":0.0254,"weight_material502350":2.54e-5,"material501680":0.0076,"weight_material501680":7.6e-6,"material502131":0.0271,"weight_material502131":2.71e-5,"material501803":3.6821,"weight_material501803":0.629,"material500379":0.132,"weight_material500379":0.09,"material500419":0.16,"weight_material500419":0.11,"material502106":0.13,"weight_material502106":0.16,"material502567":0.13,"weight_material502567":0.21,"material502564":0.18,"weight_material502564":0.35,"material500154":0.4,"weight_material500154":0.38,"material502074":0.8,"weight_material502074":1.0}},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Variables Price Constructed {"data":{"variables_price":{"variable54":0,"variable55":0,"variable56":0.75,"variable57":1.1,"variable58":1.2,"variable59":0,"variable60":0,"variable61":0,"variable62":0,"variable63":0}},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Final Variables Merged {"data":{"variables_count":170},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Initialized items collection {"data":{"count":0},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Merged material items {"data":{"formulas_count":27,"items_count_after_merge":27},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Merged variable items {"data":{"variables_count":10,"items_count_after_merge":37},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Sorted items collection {"data":{"items_count":37,"first_item":{"type":"variable","id":54,"expression":"NEAREST_INCH(sign_depth_or_thickness, sign_type)","dense_weight_expression":null,"name":"Sign Depth/Thickness","var_name":"variable54","price":null,"description":null,"sequence_no":1},"last_item":{"type":"variable","id":63,"expression":"totalCost * variable57","dense_weight_expression":"totalDenseWeight * 1.1","name":"Total Cost","var_name":"variable63","price":null,"description":null,"sequence_no":37}},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Initializing MathExecutor {"data":{"variables_count":170},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: MathExecutor variables set {"data":{"variables_count":170},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: NEAREST_INCH called {"data":{"input_value":"0.5","sign_type":"Flat Cut Acrylic Letters"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: NEAREST_INCH result {"data":{"input_value":"0.5","closest_inch":0.472},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Sign Depth/Thickness","expression":"NEAREST_INCH(sign_depth_or_thickness, sign_type)","result":0.472},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 2mm Transparent 4 ft x 6 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.079, weight_material502298 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 2mm Transparent 4 ft x 6 ft Pakistan","expression":"if(var_formula54 == 0.079, material502298 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 3mm Transparent 4 ft x 6 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.118, weight_material500287 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 3mm Transparent 4 ft x 6 ft Pakistan","expression":"if(var_formula54 == 0.118, material500287 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 5mm Transparent 4 ft x 8 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.197, weight_material500918 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 5mm Transparent 4 ft x 8 ft Pakistan","expression":"if(var_formula54 == 0.197, material500918 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 6mm Transparent 4 ft x 8 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.236, weight_material502581 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 6mm Transparent 4 ft x 8 ft Pakistan","expression":"if(var_formula54 == 0.236, material502581 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 8mm Transparent 4 ft x 8 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.315, weight_material500695 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 8mm Transparent 4 ft x 8 ft Pakistan","expression":"if(var_formula54 == 0.315, material500695 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 12mm Transparent 4 ft x 6 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.472, weight_material500414 * occupied_area, 0 )","itemDenseWeight":"11.57598"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 12mm Transparent 4 ft x 6 ft Pakistan","expression":"if(var_formula54 == 0.472, material500414 * nested_area * variable58, 0 )","result":"89.9467164"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 18mm Transparent 4 ft x 6 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.709, weight_material500636 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 18mm Transparent 4 ft x 6 ft Pakistan","expression":"if(var_formula54 == 0.709, material500636 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 1\" Transparent 4 ft x 6 ft Pakistan","dense_weight_expression":"if(var_formula54 == 0.984, weight_material502107 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 1\" Transparent 4 ft x 6 ft Pakistan","expression":"if(var_formula54 == 0.984, material502107 * nested_area * variable58, 0 )","result":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Epoxy Primer Pakistan","dense_weight_expression":"(  (  (  ( occupied_area * 2 )  ) * 40.49 * 0.66 )  ) * weight_material500611","itemDenseWeight":0.0028928614968000005},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Primer Pakistan","expression":"(  (  (  ( occupied_area * 2 )  ) * 40.49 * 0.66 )  ) * material500611","result":2.8928614968000006},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Master Thinner Pakistan","dense_weight_expression":"(  ( occupied_area * 2 )  ) * 40.49 * 0.13 * weight_material500214","itemDenseWeight":0.00022976050500000004},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Master Thinner Pakistan","expression":"(  ( occupied_area * 2 )  ) * 40.49 * 0.13 * material500214","result":0.22976050500000003},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Epoxy Hardner Master Pakistan","dense_weight_expression":"(  ( occupied_area * 2 )  ) * 40.49 * 0.2 * weight_material501055","itemDenseWeight":0.0021915617400000004},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Hardner Master Pakistan","expression":"(  ( occupied_area * 2 )  ) * 40.49 * 0.2 * material501055","result":2.19156174},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 )  ) * 22 * 0.426 * weight_material502098 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , (  ( occupied_area * 2 )  ) * 22 * 0.426 * material502098 , 0 )","result":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 )  ) * 22 * 0.234 * weight_material502079 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , (  ( occupied_area * 2 )  ) * 22 * 0.234 * material502079 , 0 )","result":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 )  ) * 22 * 0.21 * weight_material502350 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , (  ( occupied_area * 2 )  ) * 22 * 0.21 * material502350 , 0 )","result":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 )  ) * 22 * 0.12 * weight_material501680 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , (  ( occupied_area * 2 )  ) * 22 * 0.12 * material501680 , 0 )","result":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 )  ) * 22 * 0.41 * weight_material502098 )","itemDenseWeight":"0.00450419112"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , 0, (  ( occupied_area * 2 )  ) * 22 * 0.41 * material502098 )","result":"4.50419112"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 )  ) * 22 * 0.21 * weight_material502131 )","itemDenseWeight":"0.00218602692"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , 0, (  ( occupied_area * 2 )  ) * 22 * 0.21 * material502131)","result":"2.18602692"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 )  ) * 22 * 0.3 * weight_material502350 )","itemDenseWeight":"0.0029269944"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , 0, (  ( occupied_area * 2 )  ) * 22 * 0.3 * material502350)","result":"2.9269944"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 )  ) * 22 * 0.08 * weight_material501680 )","itemDenseWeight":"0.00023354496"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , 0, (  ( occupied_area * 2 )  ) * 22 * 0.08 * material501680)","result":"0.23354496"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Paint Miscellaneous cost","expression":"( formula241 + formula242 + formula243 + formula244 + formula245 + formula246 + formula247 + formula248 + formula249 + formula250 + formula251 ) * 0.2","result":3.0329882283600003},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: No formula, default result applied {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight":0,"result":0},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Packaging/Box Making","expression":"variable56 * nested_area","result":12.5925},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 5ply","dense_weight_expression":"if( ( width_of_sign > 0 || other_dimension_of_sign > 0 ) && width_of_sign <= 30 && other_dimension_of_sign <= 30, (  ( 2 * nested_area ) + ( 8 * sqrt(nested_area)  )  ) * weight_material500379 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 5ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 7Ply","dense_weight_expression":"if( ( width_of_sign > 30 || other_dimension_of_sign > 30 ) && width_of_sign <= 50 && other_dimension_of_sign <= 50, (  ( 2 * nested_area ) + ( 8 * sqrt(nested_area)  )  ) * weight_material500419 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 7Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight_expression":"if( ( width_of_sign > 50 || other_dimension_of_sign > 50 ) && width_of_sign <= 60 && other_dimension_of_sign <= 60, (  ( 2 * nested_area ) + ( 8 * sqrt(nested_area)  )  ) * weight_material502106 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ) && width_of_sign <= 70 && other_dimension_of_sign <= 70, nested_area * 2 * weight_material502567, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight_expression":"if( ( width_of_sign > 70 || other_dimension_of_sign > 70 ) && width_of_sign <= 90 && other_dimension_of_sign <= 90, nested_area * 2 * weight_material502564 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight_expression":"if( ( width_of_sign > 90 || other_dimension_of_sign > 90 ), nested_area * weight_material500154 * 2, 0 )","itemDenseWeight":"12.7604"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight":"12.7604","result":0},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Wood Lar 9''x132''","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ), ( 4 * sqrt(nested_area) * 2 * weight_material502074 ) / 144, 0 )","itemDenseWeight":"0.22764223609498"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: No formula, default result applied {"data":{"name":"Wood Lar 9''x132''","dense_weight":"0.22764223609498","result":0},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: No formula, default result applied {"data":{"name":"Miscalleneous (10%)","dense_weight":0,"result":0},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: No formula, default result applied {"data":{"name":"Where Wastage magnification factor for Sheets consumption is taken as","dense_weight":0,"result":0},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Flush/Stud Mount","expression":"if(mounting_type == mounting_type_flush_stud_mounted, 1, 0 )","result":"1"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Standard Raceway (6x2)","dense_weight_expression":"if(mounting_type == mounting_type_standard_raceway_6x2, weight_material501803 / 144 * (  ( width_of_line_1 * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + ( width_of_line_2 * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + ( width_of_line_3 * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + ( width_of_line_4 * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Standard Raceway (6x2)","expression":"if(mounting_type == mounting_type_standard_raceway_6x2, variable58 * ( material501803 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  ) + 2.7 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Flat Backer (2mm)","dense_weight_expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, ( weight_material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Flat Backer (2mm)","expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, variable58 * (  ( material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Dense weight computed {"data":{"name":"Backerboard Cabinet (2\")","dense_weight_expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * weight_material501803 / 144 ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula executed successfully {"data":{"name":"Backerboard Cabinet (2\")","expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, variable58 * (  (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * material501803 / 144 ) + (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * 2.7 / 144 )  ), 0 )","result":"0"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Total Cost formula detected {"data":{"item_id":63},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Formula calculations completed {"data":{"total_items":37,"successful_calculations":36,"errors_count":0},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Summed initial totals {"data":{"totalCost_before_formula":122.20914577015999,"totalDenseWeight_before_formula":24.579187177236783},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Total Cost formula executed {"data":{"formula":"totalCost * variable57","computed_totalCost":134.430060347176},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Total Dense Weight formula executed {"data":{"formula":"totalDenseWeight * 1.1","computed_totalDenseWeight":27.03710589496046},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Total Cost result added to calculationsResults {"data":{"variable_id":63,"result":134.430060347176,"dense_weight_expression":27.03710589496046},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Preparing boxes for bin packing {"data":{"sign_type":"Flat Cut Acrylic Letters","objects_count":8,"totalDenseWeight":0},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: Processing flush stud mounted objects for 3D bin packing {"data":{"objects_count":8,"sign_depth":"0.5"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-1","width":23.84,"height":20.09,"depth":"0.5"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-2","width":35.89,"height":19.02,"depth":"0.5"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-3","width":16.34,"height":19.02,"depth":"0.5"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-4","width":17.41,"height":19.02,"depth":"0.5"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-5","width":19.29,"height":20.09,"depth":"0.5"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-6","width":8.57,"height":8.84,"depth":"0.5"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-7","width":8.3,"height":8.84,"depth":"0.5"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:16] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-8","width":8.84,"height":8.84,"depth":"0.5"},"timestamp":"2026-01-29 06:48:16"} 
[2026-01-29 06:48:17] local.INFO: 3D Bin Packing API response received {"data":{"response":{"response":{"id":"1769669297_1770107affa0fc89d7efabb46acea6cf","bins_packed":[{"bin_data":{"w":36.19,"h":20.39,"d":4,"id":"unique","used_space":67.6963,"weight":0,"gross_weight":0,"used_weight":100,"stack_height":20.39,"order_id":null},"image_complete":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/e88fef3ae5aa2c4fa08c77272314ee9e/1769669297-3416-2750873.svg","items":[{"id":"item-2","w":36.19,"h":19.32,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/e88fef3ae5aa2c4fa08c77272314ee9e/1769669297-341-1249900.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-4","w":17.71,"h":19.32,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/e88fef3ae5aa2c4fa08c77272314ee9e/1769669297-3412-2683372.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-8","w":9.14,"h":9.14,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/e88fef3ae5aa2c4fa08c77272314ee9e/1769669297-3413-7707468.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-3","w":16.64,"h":19.32,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/e88fef3ae5aa2c4fa08c77272314ee9e/1769669297-3413-4531628.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-6","w":8.87,"h":9.14,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/e88fef3ae5aa2c4fa08c77272314ee9e/1769669297-3414-7872232.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-7","w":8.6,"h":9.14,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/e88fef3ae5aa2c4fa08c77272314ee9e/1769669297-3415-8301344.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-1","w":24.14,"h":20.39,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/e88fef3ae5aa2c4fa08c77272314ee9e/1769669297-3415-9480592.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-5","w":19.59,"h":20.39,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/e88fef3ae5aa2c4fa08c77272314ee9e/1769669297-3416-9274579.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}}]}],"errors":[],"status":1,"not_packed_items":[]}}},"timestamp":"2026-01-29 06:48:17"} 
[2026-01-29 06:48:17] local.INFO: Box added from packed bin {"data":{"length":4,"width":36.19,"height":20.39,"denseWeight":0},"timestamp":"2026-01-29 06:48:17"} 
[2026-01-29 06:48:17] local.INFO: Shipping rates calculated {"data":{"boxes":[{"size":{"length":6,"width":38.19,"height":22.64},"quantity":1,"denseWeight":1}],"cheapestShippingCost":201.6826875,"rawShippingRates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":28,"rate":"213.16","tariffAndDS":241.16,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":396.08211599999987,"totalShipmentCostFormula":"((tariffAndDS (241.16) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 396.08","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":28,"rate":"129.6","tariffAndDS":157.6,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":270.31595999999996,"totalShipmentCostFormula":"((tariffAndDS (157.6) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 270.32","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":17.5,"rate":"166.92","tariffAndDS":184.42,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":283.45354,"totalShipmentCostFormula":"(( tariffAndDS (184.42) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 283.45354","warnings":[]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":28,"rate":"227.71","tariffAndDS":255.71,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":277.71000000000004,"totalShipmentCostFormula":"(((tariffAndDS (255.71) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 277.71","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":0,"rate":"118.85","tariffAndDS":118.85,"fuelSurcharge":"0.3250","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":201.6826875,"totalShipmentCostFormula":"(((tariffAndDS (118.85) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3250)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 201.6826875","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":0,"rate":625,"tariffAndDS":625,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":625,"totalShipmentCostFormula":"((tariffAndDS (625) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 625"}]}},"timestamp":"2026-01-29 06:48:17"} 
[2026-01-29 06:48:17] local.INFO: Product cost factor determined {"data":{"sign_type":"Flat Cut Acrylic Letters","productCostFactor":1.25},"timestamp":"2026-01-29 06:48:17"} 
[2026-01-29 06:48:17] local.INFO: Final API Response {"data":{"sign_width":"120","sign_height":"32.39","sign_depth":"1","sign_type":"Flat Cut Acrylic Letters","processed_sign_type":"Flat Cut Acrylic Letters","sideViewImage":"https://api.signize.ai/mockups/flush-stud/flush-stud-flat-cutt-acrylic-letters.png","mounting_type":"Flush/Stud 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deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-4","w":17.71,"h":19.32,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/e88fef3ae5aa2c4fa08c77272314ee9e/1769669297-3412-2683372.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-8","w":9.14,"h":9.14,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/e88fef3ae5aa2c4fa08c77272314ee9e/1769669297-3413-7707468.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels 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deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-5","w":19.59,"h":20.39,"d":0.8,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/e88fef3ae5aa2c4fa08c77272314ee9e/1769669297-3416-9274579.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}}]}],"errors":[],"status":1,"not_packed_items":[]}},"shipping_rates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":28,"rate":"213.16","tariffAndDS":241.16,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":396.08211599999987,"totalShipmentCostFormula":"((tariffAndDS (241.16) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 396.08","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":28,"rate":"129.6","tariffAndDS":157.6,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":270.31595999999996,"totalShipmentCostFormula":"((tariffAndDS (157.6) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 270.32","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":17.5,"rate":"166.92","tariffAndDS":184.42,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":283.45354,"totalShipmentCostFormula":"(( tariffAndDS (184.42) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 283.45354","warnings":[]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":28,"rate":"227.71","tariffAndDS":255.71,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":277.71000000000004,"totalShipmentCostFormula":"(((tariffAndDS (255.71) + overlengthSurcharge (22) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 277.71","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":0,"rate":"118.85","tariffAndDS":118.85,"fuelSurcharge":"0.3250","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":201.6826875,"totalShipmentCostFormula":"(((tariffAndDS (118.85) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3250)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 201.6826875","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":6,"width":38.19,"height":22.64},"denseWeight":1,"volumetricWeight":17.5,"higherWeight":17.5,"quantity":1}],"totalHigherWeight":17.5,"DS":0,"rate":625,"tariffAndDS":625,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":625,"totalShipmentCostFormula":"((tariffAndDS (625) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 625"}]},"cheapest_shipping_cost_usd":210.0,"totalCost":370.0,"productionResults":[{"variable_id":54,"dense_weight_expression":0,"result":0.472,"sign_material":"Sign Depth/Thickness","description":null,"sequence_no":1},{"material_id":233,"dense_weight_expression":0,"result":"0","sign_material":"Acrylic Sheet 2mm Transparent 4 ft x 6 ft 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Pakistan","description":null,"sequence_no":13},{"material_id":245,"dense_weight_expression":0,"result":"0","sign_material":"Matting Agent (P565-554) 1L Nexa Pakistan","description":null,"sequence_no":14},{"material_id":246,"dense_weight_expression":0,"result":"0","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":15},{"material_id":247,"dense_weight_expression":0,"result":"0","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":16},{"material_id":248,"dense_weight_expression":0.00450419112,"result":"4.50419112","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":17},{"material_id":249,"dense_weight_expression":0.00218602692,"result":"2.18602692","sign_material":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","description":"High Quality Gloss / Satin Paint – PU or solvent-based, gloss (70+ GU) or satin (30–50 GU) sheen.","sequence_no":18},{"material_id":250,"dense_weight_expression":0.0029269944,"result":"2.9269944","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":19},{"material_id":251,"dense_weight_expression":0.00023354496,"result":"0.23354496","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":20},{"variable_id":55,"dense_weight_expression":0,"result":3.0329882283600003,"sign_material":"Paint Miscellaneous cost","description":null,"sequence_no":21},{"material_id":252,"dense_weight_expression":0,"result":0,"sign_material":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","description":null,"sequence_no":22},{"variable_id":56,"dense_weight_expression":0,"result":12.5925,"sign_material":"Packaging/Box Making","description":"Custom Packaging with 3–5 ply corrugated boxes with inner foam/styro and stretch wrap.","sequence_no":23},{"material_id":575,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 5ply","description":null,"sequence_no":24},{"material_id":576,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 7Ply","description":null,"sequence_no":25},{"material_id":577,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 9 Ply","description":null,"sequence_no":26},{"material_id":578,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 5mm 3 Core 4*8","description":null,"sequence_no":27},{"material_id":579,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 7mm 4 Core","description":null,"sequence_no":28},{"material_id":580,"dense_weight_expression":12.7604,"result":0,"sign_material":"Plywood Sheet 8*4 Mersawa 6 core 9MM","description":null,"sequence_no":29},{"material_id":581,"dense_weight_expression":0.22764223609498,"result":0,"sign_material":"Wood Lar 9''x132''","description":null,"sequence_no":30},{"variable_id":57,"dense_weight_expression":0,"result":0,"sign_material":"Miscalleneous (10%)","description":null,"sequence_no":31},{"variable_id":58,"dense_weight_expression":0,"result":0,"sign_material":"Where Wastage magnification factor for Sheets consumption is taken as","description":null,"sequence_no":32},{"variable_id":59,"dense_weight_expression":0,"result":"1","sign_material":"Flush/Stud Mount","description":"Sign to be Flush/Stud Mounted to the wall.","sequence_no":33},{"variable_id":60,"dense_weight_expression":0,"result":"0","sign_material":"Standard Raceway (6x2)","description":null,"sequence_no":34},{"variable_id":61,"dense_weight_expression":0,"result":"0","sign_material":"Flat Backer (2mm)","description":null,"sequence_no":35},{"variable_id":62,"dense_weight_expression":0,"result":"0","sign_material":"Backerboard Cabinet (2\")","description":null,"sequence_no":36},{"variable_id":63,"dense_weight_expression":27.03710589496046,"result":134.430060347176,"sign_material":"Total Cost","description":null,"sequence_no":37}],"productionError":[],"request":{"sign_width_or_height":"120","sign_depth_or_thickness":"0.5","sign_type":"Flat Cut Acrylic Letters","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"32.39","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"8","perimeter_of_sign":"55.43","nested_area":"16.79","occupied_area":"8.73","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"32.39","material":null,"application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null},"TATDays":14,"testDenseWeight":27.03710589496046},"timestamp":"2026-01-29 06:48:17"} 
[2026-01-29 06:48:17] local.INFO: API Epic Craftings Calculation Ended ======================================================================================================== {"data":null,"timestamp":"2026-01-29 06:48:17"} 
[2026-01-29 06:48:19] local.INFO: API B2 Sign Calculation Started ======================================================================================================== {"data":null,"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.INFO: Incoming Request {"data":{"sign_type_name":"Flat Cut Acrylic Letters","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","dimensions":[{"id":"becd2aa0-2922-445b-8521-0a07ec446446","height":20.09,"width":23.84},{"id":"38e25fd2-12d6-4d6f-93d9-a643ad840c58","height":19.02,"width":35.89},{"id":"69dae57f-90ad-4455-b1e4-a37e430aa1d0","height":19.02,"width":16.34},{"id":"aec064d9-7ec1-4c7c-bbd5-6cc9fb83ebc7","height":19.02,"width":17.41},{"id":"366aa298-24d5-4eca-9342-6b00d834eb5b","height":20.09,"width":19.29},{"id":"22efee64-14ae-4d64-b71f-1f01f445c062","height":8.84,"width":8.57},{"id":"563b7d72-35bd-4bb6-8cc2-a0a564a2f9c0","height":8.84,"width":8.3},{"id":"ef0c2b65-7e26-43da-942f-b4232c43b055","height":8.84,"width":8.84}]},"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.INFO: Validating Request Payload {"data":[],"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.INFO: Request Validation Successful {"data":{"validated_data":{"sign_type_name":"Flat Cut Acrylic Letters","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","dimensions":[{"id":"becd2aa0-2922-445b-8521-0a07ec446446","height":20.09,"width":23.84},{"id":"38e25fd2-12d6-4d6f-93d9-a643ad840c58","height":19.02,"width":35.89},{"id":"69dae57f-90ad-4455-b1e4-a37e430aa1d0","height":19.02,"width":16.34},{"id":"aec064d9-7ec1-4c7c-bbd5-6cc9fb83ebc7","height":19.02,"width":17.41},{"id":"366aa298-24d5-4eca-9342-6b00d834eb5b","height":20.09,"width":19.29},{"id":"22efee64-14ae-4d64-b71f-1f01f445c062","height":8.84,"width":8.57},{"id":"563b7d72-35bd-4bb6-8cc2-a0a564a2f9c0","height":8.84,"width":8.3},{"id":"ef0c2b65-7e26-43da-942f-b4232c43b055","height":8.84,"width":8.84}]}},"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.INFO: Fetching Sign Type {"data":{"sign_type_name":"Flat Cut Acrylic Letters"},"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.INFO: Sign Type Query Result {"data":{"found":true,"sign_type_id":10},"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.INFO: Checking B2 Module for Sign Type {"data":{"sign_type_id":10},"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.INFO: Sign Type B2 Module Result {"data":{"has_b2_module":false},"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.ERROR: Sign Type Without B2 Module Attempt {"data":{"sign_type_id":10},"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.INFO: USA Workshop Calculation API Started {"data":{"request":{"sign_type":"Flat Cut Acrylic Letters","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":32.39,"sign_width":"120","shipping_weight":17.5,"shape":"rectangular","dimensions":[{"id":"becd2aa0-2922-445b-8521-0a07ec446446","height":20.09,"width":23.84},{"id":"38e25fd2-12d6-4d6f-93d9-a643ad840c58","height":19.02,"width":35.89},{"id":"69dae57f-90ad-4455-b1e4-a37e430aa1d0","height":19.02,"width":16.34},{"id":"aec064d9-7ec1-4c7c-bbd5-6cc9fb83ebc7","height":19.02,"width":17.41},{"id":"366aa298-24d5-4eca-9342-6b00d834eb5b","height":20.09,"width":19.29},{"id":"22efee64-14ae-4d64-b71f-1f01f445c062","height":8.84,"width":8.57},{"id":"563b7d72-35bd-4bb6-8cc2-a0a564a2f9c0","height":8.84,"width":8.3},{"id":"ef0c2b65-7e26-43da-942f-b4232c43b055","height":8.84,"width":8.84}]}},"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.INFO: Validation Passed {"data":[],"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.INFO: Input Parameters {"data":{"dimensions_count":8,"shape":"rectangular"},"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.INFO: Resolved Default Data {"data":{"sign_type_map":{"sign_type_halo_lit_letters":"Halo Lit Channel Letters","sign_type_face_lit_letters":"Premium Face-Lit Letters (Metallic Trim)","sign_type_face_and_halo_lit_letters":"Face & Halo Lit Channel Letters","sign_type_single_sided_lightbox":"Fabricated Lightbox - Single Sided","sign_type_double_sided_lightbox":"Fabricated Blade Sign -  Illuminated/Double Sided","sign_type_flat_cut_acrylic_letters":"Flat Cut Acrylic Letters","sign_type_flat_cut_aluminum_letters":"Flat Cut Aluminum Letters","sign_type_single_sided_push_through":"Fabricated Push Through - Single Sided","sign_type_fabricated_letters_non_lit":"Fabricated Channel Letters - Non Illuminated","sign_type_2d_blade_sign":"Flat Blade Sign","sign_type_3d_blade_sign":"Fabricated Blade Sign - Non Illuminated / Double Sided","sign_type_neon_sign":"Neon Sign","sign_type_marquee_channel_letters":"Marquee Channel Letters","sign_type_open_face_neon_channel_letters":"Open Face Neon Channel Letters","sign_type_mirror_infinity_channel_letters":"Mirror Infinity Channel Letters","sign_type_metal_on_acrylic":"Flat Cut Acrylic with Metal Pasting","sign_type_neon_acrylic_sign":"Neon Acrylic Sign","sign_type_double_sided_push_through_cabinet":"Double Sided Push Through Cabinet","sign_type_standard_face_lit_plastic_trim_letters":"Standard Face Lit Letters (Plastic Trim)","mounting_type_flush_stud_mounted":"Flush/Stud mounted","mounting_type_standard_raceway_6x2":"Standard Raceway","mounting_type_flat_backer_2_5_mm":"Flat Backer","mounting_type_backerboard_cabinet_2_inch":"Backerboard Cabinet","avg_char_height_less_than_24_inches":"Less than 24 inches","avg_char_height_greater_than_24_inches":"Greater than 24 inches","raceway_height_6":"6","raceway_height_8":"8","raceway_height_10":"10","raceway_height_12":"12","raceway_depth_2":"2","raceway_depth_3":"3","raceway_depth_4":"4","raceway_depth_5":"5","raceway_depth_6":"6","raceway_depth_7":"7","raceway_depth_8":"8","backboard_cabinet_depth_2":"2","backboard_cabinet_depth_3":"3","backboard_cabinet_depth_4":"4","backboard_cabinet_depth_5":"5","backboard_cabinet_depth_6":"6","backboard_cabinet_depth_7":"7","backboard_cabinet_depth_8":"8","material_aluminium":"Aluminium","material_stainless_steel":"Stainless Steel","application_exterior":"Exterior","application_interior":"Interior","ul_mandatory_yes":"Yes","ul_mandatory_no":"No","paint_finish_gloss_satin":"Gloss/Satin","paint_finish_matte":"Matte","neon_color_simple":"Simple","neon_color_rgb":"RGB","uv_printing_needed_yes":"Yes","uv_printing_needed_no":"No","trim_type_trimless":"Trimless","trim_type_with_trim":"With Trim","fabricated_finish_original_colors_matt":"Original Colors Matt","fabricated_finish_original_colors_gloss":"Original Colors Gloss","fabricated_finish_silver_mirror":"Silver Mirror","fabricated_finish_silver_brushed":"Silver Brushed","fabricated_finish_golden_mirror":"Golden Mirror","fabricated_finish_golden_brushed":"Golden Brushed","fabricated_finish_bronze_mirror":"Bronze Mirror","fabricated_finish_bronze_brushed":"Bronze Brushed","fabricated_finish_bronze_antique":"Bronze Antique","lightbox_type_light_box":"Lightbox","lightbox_type_cut_to_shape":"Cut to shape Lightbox","return_color_black":"Black","return_color_white":"White","return_color_blue":"Blue","return_color_brown":"Brown","return_color_yellow":"Yellow","return_color_teal":"Teal","return_color_orange":"Orange","return_color_golden_brushed":"Gold Brushed","return_color_match_logo":"Match Logo (Default)","shape_rectangular":"Rectangular","shape_cut_to_shape":"Cut to shape","shape_round":"Round"}},"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.INFO: Sign Type Lookup {"data":{"sign_type":"Flat Cut Acrylic Letters","found":true,"sign_type_id":10},"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.INFO: USA Workshop Module Check {"data":{"sign_type_id":10,"has_module":true},"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.INFO: Initial Price Lookup {"data":{"shape":"rectangular","price_found":true},"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.INFO: Flat Cut Acrylic Letters Detected {"data":[],"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.INFO: Resolved Depth Range {"data":{"input_depth":1,"matched_depth":1},"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.INFO: USA Workshop Price Found {"data":{"base":"object","price_per_inch":5.0},"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.INFO: Calculating Production Cost (Object Base) {"data":[],"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:48:19] local.INFO: USA Workshop Calculation Completed {"data":{"production_cost":618.8000000000001,"dimensions_count":8},"timestamp":"2026-01-29 06:48:19"} 
[2026-01-29 06:49:09] local.INFO: Image-to-Text API Request Received {"data":{"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_image":{"Illuminate\\Http\\UploadedFile":"C:\\xampp\\tmp\\phpF93.tmp"}},"file_present":true},"timestamp":"2026-01-29 06:49:09"} 
[2026-01-29 06:49:09] local.INFO: Validation Passed {"data":{"sign_width_or_height":"120","user_input_dimension":"width"},"timestamp":"2026-01-29 06:49:09"} 
[2026-01-29 06:49:09] local.INFO: Prepared Query Parameter for Image-to-Text API {"data":{"query_param":"banner_width_ft","query_value":9.999996},"timestamp":"2026-01-29 06:49:09"} 
[2026-01-29 06:49:09] local.INFO: Calling Image-to-Text API {"data":{"file_name":"Screenshot 2025-10-28 100336.png","query_param":"banner_width_ft","query_value":9.999996,"file_size":17252},"timestamp":"2026-01-29 06:49:09"} 
[2026-01-29 06:49:09] local.INFO: Trying Image-to-Text server {"data":{"url":"https://edgebased.codeblue.agency/docs/process-image?banner_width_ft=9.999996","file":"Screenshot 2025-10-28 100336.png"},"timestamp":"2026-01-29 06:49:09"} 
[2026-01-29 06:49:10] local.ERROR: Server FAILED {"data":{"url":"https://edgebased.codeblue.agency/docs/process-image?banner_width_ft=9.999996","error":"Server responded but data invalid"},"timestamp":"2026-01-29 06:49:10"} 
[2026-01-29 06:49:10] local.INFO: Trying Image-to-Text server {"data":{"url":"http://imagetotext.marke-ter.online:8002/process-image?banner_width_ft=9.999996","file":"Screenshot 2025-10-28 100336.png"},"timestamp":"2026-01-29 06:49:10"} 
[2026-01-29 06:49:10] local.INFO: Server succeeded {"data":{"url":"http://imagetotext.marke-ter.online:8002/process-image?banner_width_ft=9.999996"},"timestamp":"2026-01-29 06:49:10"} 
[2026-01-29 06:49:10] local.INFO: Image-to-Text API Response 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\"}}"},"timestamp":"2026-01-29 06:49:10"} 
[2026-01-29 06:49:10] local.INFO: Detected Objects from Image-to-Text API 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06:49:10"} 
[2026-01-29 06:49:10] local.INFO: Nested area calculated {"data":{"nestedArea":4000.2542999999996},"timestamp":"2026-01-29 06:49:10"} 
[2026-01-29 06:49:10] local.INFO: Mapped objects from Image-to-Text API 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"},{"id":"26f0b405-70d3-4ac6-860d-a14baf51f4d4","height":19.11,"width":21.4,"perimeter":171.78,"area":38.56,"image":"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"}]},"timestamp":"2026-01-29 06:49:10"} 
[2026-01-29 06:49:10] local.INFO: Number of letters detected {"data":{"noOfLetters":23},"timestamp":"2026-01-29 06:49:10"} 
[2026-01-29 06:49:10] local.INFO: Perimeter calculated {"data":{"exactPerimeterSum":1142.9,"perimeter_in_feet":95.24},"timestamp":"2026-01-29 06:49:10"} 
[2026-01-29 06:49:10] local.INFO: Actual filled area sum calculated {"data":{"actualFilledAreas":[14.17,14.68,33.3,39.07,33.59,40.31,23.44,49.95,19.5,38.63,28.84,19.64,48.42,94.79,301.45,110.93,191.25,18.18,172.27,11.54,86.46,239.23,38.56],"actualFilledAreaSum":1668.2},"timestamp":"2026-01-29 06:49:10"} 
[2026-01-29 06:49:10] local.INFO: Occupied area calculated {"data":{"conversionFactor":0.00694444,"occupiedArea":11.58},"timestamp":"2026-01-29 06:49:10"} 
[2026-01-29 06:49:10] local.INFO: Average character height calculated {"data":{"avgCharHeight":10.916086956521738},"timestamp":"2026-01-29 06:49:10"} 
[2026-01-29 06:49:10] local.INFO: Original image dimensions and ratio {"data":{"originalWidth":329,"originalHeight":136,"ratio":2.4191176470588234},"timestamp":"2026-01-29 06:49:10"} 
[2026-01-29 06:49:10] local.INFO: Calculated sign dimensions {"data":{"widthOfSign":"120","otherDimensionOfSign":49.6},"timestamp":"2026-01-29 06:49:10"} 
[2026-01-29 06:49:10] local.INFO: Image to Text processing completed 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zr2NTw4jsPfSuwyXBX1BKKlzRxesXsn6CWv2J/9w26Iw6wsLI9usXRxgl7iqUuq6ctgEInUonFtTYVyTK3VXLquefoMhmLM9NB6u4rlkUPy2oDsgCCII/eobLJihqWLI/RUmZnpfceqop5BBMtOra3mjkEOadP8M0LOo+BwLg4uF/YjfymPHqt/uZ2ekmxVqqSV57emVlbQY0SEd6XVaidNmHD9p58Y3sLSxmb3nj3FixfHBxYXF3f3zp179+5FRETcj4jMzFBAz8HJ6WBQkJWVFfIRf+qSZvoyfBxymbxCWZMKpTJredg0rWdibo6/lTp5UebZHyGadNpQp15dIMhKSUttM5DSFRDHZPxg+wHdoKdRq5M6D9E+ewXROHtbk3Wzbd0rQ6DOVqYNGKcKfwRDcA52Tpf2cxwHvaS74coBE6HRQgRpqaKW+9eaWVsjt4SdQepVARDBtJaH3fZl0COihJb9Na9iUXAsW3taLZmKd8KICO9q6ZIlR4OCGN6GsTkLFrRs2RIfl0ajiYqKCr17Nzw8PDI8XKPV7g8MlMvlyEfqvC2Zh4/io+PsrWXjB9u3b4H8pa7embkjEKLJJw9x8O4KQcrGHVmbD0IceYXSNoEbpDIZ9BJOnFPPXAnxGDPZvND+22+QQ+L+46olG2EIi+b1rFf4QY+IkvtNUt4JhTjyZVMcWjZBHq/PXKQpyyGCzL2C47710Et9EZ3ZdjCIUHBk00Y79mqDd8KICO/k2LFjSxYsYHgLAmrWrr1h0yZ8akTEGEP+EjoPVz98gk+CMbnfWIcuLZGPuBPntDNXQjT5hDEO/VsDyE5LT2kzkFLTIQZj8q0LHOrURA6J3qNVd+9DNHPPujZr5iK3mPM/somLYAj5lCEOfbpCL/Hij6oJi0EEEThHO6cL+ziJBHkk7ghUrd4JEWRVKjjuXw+9+OBTGr91MByzNJeXLcWszJGZrU3N0CQkUpoCApPDm+2/KoN3wogIhnv69OnAvn2zMjPxVozbtnOHu7s7CreMhKS05t7QaPGJMCsLmzO7zayt8Dbxd8I0fSdANNmEkY792wFI2r5PueYHiGPeqoHN0pnIISn8gbLXaBBBNNnWRY51v0FuCYGn1IvWQTzGTALX2FeqCL2kfmOVtyMgjvzrcqxnKw3+L0aQnbqadSsMIphUr2K/2x966bOXK45dhCGYualk9ADbTq1kZqbQ47VaxavY7Lv3ze8/NB/jw3Ec3gkjIhiIiIYPHXr7jz8Y3oKA2nXrrtuwAYVe3Pmr2omL8UlJFkx0bt8Mb5OVkpbSpAc0PMSRTRvq2KuLMjMzte1AbUIKRGDmZhZHN1kVK4ocUldsyvwhGKJJXBwdz+3hOA65pS/ZrNh/DKIxWxvnKwc4iQSCpIgoZa/R4Hl8RBZe9a1XzoJefOsBmuhXEE8mM922wK5GNXwYjIhgoNOnT8+ZNYvD2xEwd+HCli1botBLX7pOse8UPilLn15WYwYgH7FNe/HxSRBHOnmwk3e3xN0HVP67II58lI/DkO7ILb79YM3TFxDNolsr61ljkUeS92jl3fsQzbxxQ5u1M6CX4r8za3cgPi6rfp0tJw6DIP3la0XrASCCaCZDutmPGowPhhERDKFWq3t07RoTHY18mJianrt0ydTUFIVeQo/v1RGP8ElZdG1j7Tca+Uj2mZz9+x2II50w0KZ7x5S2A7XxSRBB5lrSJmiDzMQEOaQ+e5HZfgiIIJpk+QznFg2RmzIjM6lxTyiVEE0+dpjDoM7Qi+8wWPPkBT4uyZwxzp1bQxB/7Lxmtj/E4zjzk9ttShbDB8OICIY4euTI0kWLGPJVs06d9Rs3otDLSklJadIbGi0MxMzM5HPGqDieiCRJaWYPnmacvkrZSrwTC58e1mMGIR/p8zYoDp+AOPJhA5mZpXL1OojBmHzdPIeGtZFbQmCIetFaiCeV2lzca25vh9zif/1NM3QWDCHft9rBvRIE6S9jFG18wPP4uEyCNtpXLAdBut8mRXAwRJO5lnQ8EYAPiRERRCOiXt27P338GPnr0bv3uAkTUOjFX/xRM34RDGdWt5bt1gXIIfnPu9kDJ4MnGM7Mt5+tbx/kI3HXYdXKbRDH1qdX+qmL2th4iGDu+Z3NmtnII332asWxMxBNVqGs45FNyCNl/Q9ZW/dBNGZl4fzTYY7jIIg7dUk7fRk+Ls7W2unqQY7jIIhvN1jz7AVEM+/UzmbuSHxIjIgg2u+//z7K1xdEyN/o8eN79+mDQi99yUbF/uMwnOmwQXYjeiC3hI5D1I+fw3DcnFEundsiH3FXb2hHz4U4nLM9H5cEEZiZifnhTdYliyOPhG7D1fefQDTzrq1t/MYgj6S+45R3wiGaeb2aNpsWQi995XbFrkP4uCwa1bFeNw8CRWxCevM+IIgnmTfFuWMTfEiMiCDawgULThw7xpAvAmbPn9+6dWsUeok9R6rCo2A46bYlTnWqI7fEPqNVofdhOMmm+c71aiMfqc+jM9sNBhEKlMmwXvYjBiAPXquNrdsRShVEk08d4dC7PXLLSk5J8fKGWg3RzMb0t/XpDb20kbMzrv0KcZiFuaRudS0I70fWor5Dy6YQxIVc1E5bDvE4zvLUDqsSRfEhMSKCODzPt2/bNiE2FvkjYLqfX4cOHVC4ZaemJzfuCa0GBmJmJo7XgqQmJsgtrmU/bUwsDGd+MsCmdEnkg+f5uLodKVuJgiMtWdTm8Ca5mRnySI+JVbTqDyKIxm1a6FKvJnKLP3ZRM3s5DCHbs8LRwx16id1HqCIfQhzzpt/arJqDApW+aLUi8AxEkxYv6nRmFz4wRkQQ5+HDh3169mRE+FtDvx8xyGcQCrfYK//hx/jBcKY13e12rEBuRBRbpwNlK2EoqdT5P8ESmQz5S+gyXB31BAWFMfnqmQ6e9fE2sXfC+L4TYAjpgbVObhWRW8qw6Vm/3IJozMrc6eohiUwGvfgWfTWv4iCOybiB9gN7okAldB6ifvgcolm2b2a1YCI+MEZEEOd4cPCi+fMZ/kHbDh1m+vmhcEtduTtz134YzmJ4d+vvfZBbZnJKqmcv8DwMJClRxPn0bvyttPELMi7+hAJi2riW3doFyEf8z7c030+HIaS7VzhVd0cOyQ+isnuMhpaHaGb1athuWowcYr368HEJEIdbMd2leSPkkZmWlhp6D+LYVatqamEBQUZCQlozb2gJosnmjHbs3AYfGCMiiLNu7dp9u3fjn5QtX37/wYMo3JK8xynvhsNw0q3znerWRm6JkVGq7iNhONOaHnY7luFvpa35IWP7PhQIE5n54Y02pUshH/E//aEZMQ2GkI8f7DCgG/RUWVmKIdOUdyNgCJNR/eyH9EEO8e18NM+iIQ5bPbNIkwbII2XRmqzA0xBB4lLEPmSbVC6HIP7MRc2U5RCNwCxCAmxKlsAHxogI4sybM+f0yZP4JwQcDg4uWbIkCitluiKpcU+o1TCUqYnD1YNyczPk9vrHGzRqLgxn1baJ5aIp+Fuxx87ys1ehIJgO7m432gf5i7sdqu03EYbgbK2k88fa1K1FPKXeDuM2/KC8ex8Gku7wd6pZBTkkD5qYfTMU4pgO6Wk3aiBySzhzQT1tJXgeIphMHGnfrx300hasyzh0CqJJijk7n92DD48REcSZPHHStSuX8U8I6D9o0PcjRqCwirv+i9Z3DgxnWsPNbtdK5BF3JEQ7dy0MZ9mvu9VEH/ythNth6n4T8N6kxV1sjmyRm5shf+mv4hQt+4EIhpJKAYJGC8Mxc3OHHw/KTOTIQbFwY/rB4xCHWZjJ5k+wb1qfMQYgMzFJtfNo1r4j0PIQQV6hjE3gOqlMBr2ELr7qqMcQzapdY8uF0/DhMSKCONMnTbp8+TJEsHVwOHLsmIWFBQql1HXbMrcdhuHMh3rbjOyLPJI3787euB+Gk00Y6ti/C/5Wdlp6cqPu0PJ4H4zJlk53bNkQf4uIYht2o9R0fESmtb+xC1iE3OLPX9VMXAxDSOztJEVdSKVSP34GrRbikFxqun2pvUcV6GUmpaR69YZGC9FkfmMcu7bGh8eICOIsnL/gZPAxiEDAoCFDhg0fjkIpeeC47FvhMJxkw0LnBjWRR+rCdZkHT+EdLBxftF0L/JNYr958XCLeg8m3Ne23LIQIqWPnZ17+GR+R6dD+diN7Ize1UpnUciCfmIgPijH5VF+HXh2QQ+z56/zEeRCPMbPgbbZlSuLDY0QEcbYHBGzdtIlBFFMzs9379pUuXRqFjCozK7FRdyhVMJRcZn/loImVBfJIn7ZCEXIBhuNW+7k0qYd/kjxoSvbN23hncqnZgfW2FcpAhPhTFzXTl+Mjkm5Z6PRtTeSRvONI9uqt+HAYMx/Q1WbcYOSWtmx7xt5DEI1zdnK+sIcxhg+PERHE+fHHHyePH88gCgGV3d23BQRIpVIUJvHXf9f4zoThTKpUst+/Gm+TNGSa8j9/4B1sXVK0bnX8E8XsNenHTuNdmXp3sps8HOJo1OrkTkM0z1/h3UgkTCahbBXEYaYmDj8elJmZIQ+tRpMyYJLqbjg+BKnUdIKPXZ/OyCOx5whV+EOIZtm8sdWKafgoGBFBnNTU1NYtWmjVaohDQNcePSZNnozCJG3Nnozte2E4i77drCcNxtsk9Z+g/DMMhpPs9XeuWgX/JH7XEc3KrXgnnIuT7bEtJpYWEC3pynXl2PkggoGYman9golJfv6UkQVxTGq72wesQD4U8QlZg6donkSjQMlcS3J+Y+xruiOP7LS05Ma9oNFANNmUEY592uOjYEQE0XyHDfvj5k0GsYixsePH9+rdG4VG8qBp2Tf/gOGka2Y5edbH2yR29VU9eAzDSff5O7lXwT+JvXaDHzkX70S+YJJDey8YKHHrHtWGfSCCaPKKZSQLJkpMTBQdhoAI4pgN72H7/SDkLzMpWTVjedb1WygInL2tdEBn614dZSYmeJu4qz9pRy+AeIyZBW20/aosPgpGRBDt6JEjSxctYjAAk0imz5rVrl07FAIapSqhQVfKVsJQUond1UBTa2u8TWK3Ear7D2E4FrC0SO1q+Cepz6Mz2w0GEQxkUqeq3dZljDEYLikwWLVyB2Ur8U84O2vpgK42fTpJ5fK489e0ExdCNOnmeU7f1cHfIqLEkxcoIFDz9CXejYSZulfm2za2attMbm6G/KWt3pKx4yhE4xztnC7u5zgOHwUjIoiWmZnZuX37lORkGIKTSsdNmNCte3d8aulxCdl7D8FwElsb+0F9kI+EwGMU8wqGk3duY+NaGv9Eq1bHN+hKmdkwiExmum+l3ddf4V2lvYjBrqOZ565SWjrykslMPL6iFp6WbZqYWFpAkHzrT82Pv0A0G9+BcjMziMBrtYnX/2N68Zesm3e0L+NAhL9nIpeVKmbqVj6r2tem39a2KuoCEZKOnNQ+ewHxShd36tIBHwsjIhhi186dm9avZzAMMTZg0KDhvr6MMRgZSKvRJDT35hOSYQgT7w72k7/He9Oq1cn37vMPn6kS46yzlOkWljJbO+Za3LrSVyaW5vgUMuITMx4/xcs4KBTZqcmOWv6VRGZpaiKxsNJYmnFOtvIiRS2Lu0jlcnxZGBHBENnZ2T27dXsdEwMDEdCgUeNZs/1sbGxgZIjEHYdVq7fBEBIHB6vjm82srWH0BWFEBAP99NNPk8aPB8/DQAQULV58lp/fNzVrwkic1BfRWd1GUGY2DCGfM9GhczMYfVkYEcFwixYuPH70KMO7YBJJ9549hw4bZmFhAaN/kvz9zOyff4chTD3cbH/wZ4zB6MvCiAiGUyqVQ3x87kdEMLwLAlyKFPl+1KiWLVvCKH9Jp84rZ6wEEcSTcia7V9m7fw2jLw4jIryT2NjYYUOGvHr5kuEdEeDuUW3U6NEe1TxglEdmckp6l+F8QjIMYdq1tZ3fGBh9iRgR4V09evjw+2HDUlJSGN4RAYzjatWpM2TIkKoeHjDKIdlvTXbwaRiCs7W2Or7N3M4WRl8iRkR4D2FhYePHjElNSWF4dwQwjqvXoIF3377Vq1eHEZD4nz9Vw6dDy8MQ8hkjHHq0h9EXihER3k9kZOTEcePi4+IY3gsBjLHq33zTtVt3zyaeHMfh30qtVKZ0G6V5+gyGkFf+2m7/Ko7jYPSFYkSE9/YyOnrS+PGPHj1ieF8EnZKlSnXs3Lltu3a2trb490letyN720EYRMKZ7FxmX80dRl8uRkQoCGlpaTOnT//PL78wFAwCzMzNG3l6tu/QoUaNGowx/CIJT4QAACAASURBVDukRD3K6jUWKhUMYdKlmf3siTD6ojEiQgHheT5g27Zd27fzWi0KCEGntKtr81atWjRvXrJUKXzReJ5P8ZmqvHUHhmDWFlbHt1k4OMDoi8aICAXq999+WzB//uuYGIaCRICEk1Ryc2vcxLOpl1exYsXwJcpOS0/9/Q8QwRByZ2e7qpVh9KVjRISCplAo1q5effLECV6rZShgBHCMVXRza9CgYf0G9b/66ivGGIyM/gUYEeHD+PPPP1f7+0dGRDB8EASdosWK1a5bt2bNmrXr1LG1tYWR0ZeLERE+GK1We+zo0Z0BAQkJCQwfCkFHIpV+VbGiR7VqNWrUqOrhYWdnByOjLwsjInxgCoXi0MGDB/buTUtLY/iwCDqcROrqWrqSm1vlypXdqlQpX768TCaDkdFnjhERPoq0tLQD+/cfDgpKS0lh+EgIOmZmZuUqVPiqYkVXV9fyFXSsra1hZPS5YUSEj0ihUBw6dOjo4cPxsbEMHxtBwJizi0vJkiVLlS5dtFix0qVLlypZskjRoubm5ij0VCpVQkLCy5cvY16+LF+hgpubG4z+NRgR4aNTqVRnz549EhR0PyKCiBg+JYKORCq1t7d3+i9nZydnZ3sHBxdnZzt7e3s7OwdHRysrK1NTU8YYPjC1Wp2VlZWWlpaUmJiYlJSWlhYfF5ecnBwfF5eUlBQfF5eUlKRUKhlgZm4eGBRUpEgRGP1rMCLCp/PHH38cO3r0xytXlNnZDIUI4S8EyGQyUxMTK2trM3NzGxsbmVxub2cnkUrlcqmFhZWZmZlGo5HJ5RKOs7S0lEil3H8xBoCIeCJeq01PT+d5Xq1WExGA5ORktUrFOC45KSk7Ozs9PT0zMzNDocjIyFCr1bxWixwY/i8CfIYOHTpsGIz+TRgR4VNLSkoKOXXq3JkzUQ8eAGD4XBHeYMiFoMNQYIoUKxYYFGRqagqjfxNGRCg07t27d/bs2SuXLsXFxjKAwegtCJi/aFHzFi1g9C/DiAiFDM/zN2/evHrlyvVr116/fg2AwegNAqrXqLF52zYY/fswIkJhxfN8aGjoT9eu/XrjxqNHj3itluHfjpNItu/eXalSJRj9+zAiwufg1atXN27c+PPWrVu//56UlASA4V+HgI5dukybPh1G/0qMiPBZ4Xk+Kirq5s2bt//8Mzw0LDExgYgYvnwE2NjaHjx82M7ODkb/SoyI8Dl7/uzZnTt3wsPD70dGPn74MCsrCwKGzxtBh3GcjbVNKdfSZf6rXLnatWuXK1cORv9WjIjwpVCpVA8fPnxw//7Dh48eRkU9e/Y0KTERRAAYCi/CGyYmJi5F/6uYaxnXYsWLu7q6li1b1snJiTEGIyOAERG+UESUmJj46NGjZ8+eRb948eL581evXsW+js3MzAARBAwfAyEHxiwtLBwcHR2dnF2cXZyLOLu4uBQtVqxEiRIuLi5yuRxGRvlgRIR/E57nU1JSXr16lRAfHxcXl5ScnKFQxMfHZ2VkpKenZygUGZmZ2QKNRgMingj/RYS8GAPAMUaARCKRy+WmOmZWVpZmZmY2trYymczJ2dnU1NTW1s7Bwd7W1tbB0dHZ2dnc3JzjOBgZGYgREYzeRi1QqVRqtZrneY1GQwImkEqlHMdJpVKZQC6XM8ZgZPQhMSKCkZHR54AREYyMjD4HjIhgZGT0OWBEBCMjo88BIyIYGRl9DhgRwcjI6HPAiAhGRkafA0ZEMDIy+hwwIoKRkdHngBERjIyMPgeMiGBkZPQ5YEQEIyOjzwEjIhgZGX0OGBHByMjoc8CICEZGRp8DRkQwMjL6HDAigpGR0eeAERGMjIw+B4yIYGRk9DlgRAQjI6PPASMiFFbJyck3btx4cP9+XGxcWnoax5i9vb1rmbL1G9SvUKECPitarRZ6jDGO41AQlEqlSqVCPhhjcgHyodFosrKyoGdpackYw3tISkqKjY2FXpkyZUxNTVFwiCjmv16+TE9XmJiaVKpUyd7eHsDDqCi1RgOBhYVFqVKl8H4yMjJ4nodAJpOZmppCNLVaTUQQcBwnlUpRQBgRofB58eLFzh07Lpw7p1IqGXIhgDFWq06dSVOmlCpVCp+JTh06JCclQdCuQ4cJEyeiIIwbO/b6Tz8hf1Kp1NnJ2aN69S7dulatWhW5bdywcdeO7RDI5fLzly6Zm5vjPaxetfrA3j0QMKn00qVLFpaWKAhEFHjgwKGDB19GRzMIGFu7YUOdOnWUSmXzpk2zs7Ig6NS169Rp0/AeNBqNV5MmmRkZEPTp23fM2LEQR6vVtmjaNDMrC4I27drNmDkTBYQREQqZU6dO+S9blpmRwZAvAqxtbFatXVulShUUAqGhoSEnT+J/GBs6bJi9vT30oqOju3TsyIgAEDB15sxOnTrhvRFRm5YtkxIS8E8I4CSSAT4+w4YNQw5jR4369cYNCL76+usf9u3D+xnh63vrt98gcC1XLvDQIRSQFcuWHTp4kMNfJDLZuYsXLS0t7969O3jgQA46BEybOatjp454DxEREQP69mVEAAiYu2BBy1atIE5ERER/b28OOgRMmjata9euKCCMiFCYHDt6bOniReB56BHeYMiFgJKlSwceOiSVSvGpbVi//oedOxl0LCwtz1++LJFIoHfu7Fm/GTMYdHhgf2Bg+QoV8N5evHjRtVMnRgRxiLEly5d7enpCQERtWrZMSkiAoH2nTtNnzsR70Gg0Lb28FOnpELRq1272nDkoCL/++uuYkSMZEXIo/9VXew8cABB44MCqFSsYdIixfYGB5cuXx3s4HBS0fMkSBh1i7Ojx48WLF4c4hw4e8l+2lEGHGNu1Z0+lSpVQQBgRodC4c/v298OGaTUaAARwnKRuve9q1KhhY2Oj0WpfxcScO3Mm9vVrhjcIWL5qVcOGDfGpjRox4vdff4Xgm1q1NmzejBxW+vsf3L+fQcfSyur85cscx+G9nT17dvaMGQw6BHAcxxiDHk9EPA+A4S91v/tu9bp1ELx48aJrp06MCAABU6ZP79ylC95DVFTUwH79iAiCsePHd+veHQVh0oQJ165eZdBhHNexS5cyZcs6Ojo2adIEwIJ5886cPg2BlY1NyOnTEokE72HBvHknjx9n0HF0cjp55gxjDOIsWrDgxLFjEJiZm1+4ckUqlaKAMCJCodHf2/t+RAQAAhwcHRcvXeZRzQM5KBSKkb6+EeHhDG8MGDx4uK8vPikiat60aXpqKgS9+vYdM3Yschg2eMidP/+AoHrNmpu2bEFB8F+x4tCBAww6BCxbubJu3brQU6lU9+7dW79mTdSDBwxvODg5hZw9C0FISMg8Pz8GHWJsz/79X331Fd4Pz/PQ4zgOBUGlUrVs1ixToYCgdbt2fnPmIAcSQMAEeD99e/eOun8fgvoNG65YtQqieffs9TDqAQQe1atvCQhAwWFEhMIhNDTUZ8AADjoELFiypFmzZsjj3LlzftOnM7zRrVevCRMnIg8ievjw4b2wsKSkJJ6IY6x4iRLVq1d3dnbG2xARcmCMITcigh5jDDk8efKkZ7dujAgAAQsWL27WvDn0NBpNi6ZNMxQKCLz7Dxg5ehSAmJiYsLCwzMxMUxOTym5upUqVgoGG+vjcvX0bAiaRhJw9a29vj9yioqK8e/ViRBDY2Nmdu3gRAv8VK4IOHIDAwtLy3KVLUqkUuRFRdHT0kydP0tLSGGBhYVG2XLmSJUsyxvA2RAQ9xhj+VmZmZmhoaEJCAsdY8RIlKleuLJVKkUdYWNig/v056BAwa+7ctm3bIgcigh5jDG+j1WofPHjw5PHj5ORkS0vLYsWLu7u7m5qaIo+MjIwWXl4alQoAAYOGDh02bBjy0Gq1kZGRz549A1HRokWrenhIJJKMjIzmTZpoNRoIevbpM3b8eBQcRkQoHDZv2rQzIIBBh0kk5y9dsrKyQh5/3Lo1bcoUIoJgwKBBvfv0QQ4ajSY4OPjggQMvnj0jIgAMIOhIJJKmzZqNGTfO0dERufXo2jU+Lg6Cb2rVWu7vjxyIqFunTklJSRA09PScM3cuAL9Zsx4/fJiVlRX94gWDDgGuZcrIZDJHZ+fVa9YAuH//fr8+fRgRAAIWLVtWrGjRzZs2/faf//BaLQSMcd/W+276zJlOTk4QR61WN/fyylIoIChesuSR4GDkkZGR4dW4MfE8BGXKlT9w6CAEQ3x8Qm/fhqBajW82b9uKHDIyMg4dPHTqxPGX0dFEBD3GWImSpTp37dK1Wze5XI4chvkMjoqKgsDdo+qadeug5zNgwMsXLwAQ0LNPnx49e27ZvPlkcHBGRgb0ihQtOmrMGK9mzaA38vsRKclJGZmZMdHRDDoElHJ1NZHLmUSyceNGK2vrX3/5dfqUKdCbu2B+g4YNkUN6enrggQMnjh+Pff2a4S/W1tZde/QYMHCgiYkJcrj5++8jhg9n0CHAf82a+vXrI4esrKxdO3eePH48MSEBemXKlvWbOzcrM8t32FAOOgTMnj+/devWKDiMiFA4zJg27dL58xAQY+s3bapVqxbehoigxxhDDi+jo2fOmBEeFsbwdgSULFVq6/bt9vb20IuLi2vXujUjAkBA7759x4wdixxevnzZuUMHRgSAAN+RIwcMHKjVar0aN87KzMTbfFu//qo1awAcPXp06cKFDAKOGzdhwvq1a1VKJUMuBHxdufL2nTulUilEiIyI6OftzeENrxYtFixahDzCw8MH9uvHiCDwbNZs8ZIlADQajVfjxtlZWQAI6OXtPXbcOOhFRkZOnTz51cuXDG9HQK26dddv2AC9jIyMFk2batRqAAR07dFj0uTJEKSmprZs1oy0WgAETJ0x40hQUNSDBwz/F5NIlvn7N2jQAEBcXFyHtm1Jq8XbFClePPjECQDbAwK2btrEIOC4EyEhzs7O0Lt58+Zcv9lxsa8Z3oKAGjVrrtuwQSqVQu+H3bs3rF3LoMMkktPnztnZ2UHv8ePHUydPfvbkCUMuBNg7OLRp23bP7t0MOsTYkeDgEiVKoOAwIkLhMH7s2Bs//QQ9E1PTdh06NPb0rOrhIZfLIcLz58+HDxmSmJDA8AbhDYa/ENC2Q4dZfn7QO3/+/Kxp0xh0CFi0bFnTpk2Rw9mzZ2fPmMGgwwPrN22qXbt2REREf29vBh2GNwhvDB42bMjQoQAWzp9/MjgYAk4iYYxpNRoCGEAAw18IWLJ8uWeTJhDh8OHDyxcvZtAhYNS4cd7e3shj86ZNOwMCGHQImDh1ardu3QCEh4cP6NuXgw4B8xctbt6iOQSvX78e0LdvclISgw7hLwx/IWDr9u0e1apBcOvWLd+hQznoEDBn/vxWrVtDcP369fGjRzPo8EDRYsVex8RAjyGXOt99t2bdOgCXLl6cPmUKBAz/V6MmTZYuXw5gwrhx169dg8C5SJETISHQu3Llit+MGWqlEnoEHYa/EDB6/Pg+ffpAb8qkST9evgxBaVfXg0eOQO/Ro0cjhg9PSUrC2xAgkUh5rQYCWweHs+fPo0AxIkLhsGL58sOBgciBoGNpZeVWxd2jmkfNWrXc3NykUineJj09ffDAgU+fPGHQIaBipUpNmjZ1cnZOTUk5c/r0g8hIhjekMtnxkBAHBwcI1q1du2/3bvwPxwWfPFmkSBHk4L/CP+jAfggkUunZixetrKyePHny49WrGo1m+7ZtpNUCIKChp6ebmxtjrGGjRmXKlAHQt3fvqPv3oUeAR/Xq39Wvb29nd/fu3ZATJ4nXQkDAUF9fn8GDIcKCefNPHQ+GgICNW7Z8U7Mmcnvw4MGwwYOzMjIgkMpkx0NCHBwcABw6dMh/6VIGHWLs2IkTxYoVg2Di+PE//fgjgw4nlbZt165mrVpm5uYxL18eDgp6/vQpgw4BM+fMadeuHQS7d+/euHYtgw4xdujIkdKlS0MQEBCwbdMmhjcIcHZx8Wza1MnZOSU5+dSJEynJyQxvFC9Z8khwMIDw8PA///iDiNavXQueB0CAZ9Om7lWrAnB3d6/q4QGgbatWCXFxEDRq0mTp8uUQhIeH+w4dqszKAkCAhaVl67Ztv65USZmdff78+du3bjG8UaJkycPBwdDr1KHDq+hoCJq3bj1v/nwIFArFoP4Dnj19wqBDgIWFZc3atSwtrR4/fBgREc6Qy7f16q1auxYFihERCofwe/d8Bg0ijQZvQ9CxtrGpU7du2/bt69ati9zmz5176sQJBh0C+g8aNNzXl+M4CJRKpc+AgQ8f3IeAAL9589q0aQPByO+/v/mf/0DgVKTIyZAQ5DZ86NDbt25BUKZ8+QMHD0IvNDTUZ8AADjo8sGb9+m+//RZ6GRkZLby8NCoVBMTYQB+fYcOHM8YgmD3T79yZEAgIGDVunLe3N0Tw7tnzYVQUBBKpbP/Bg6ZmphAQUWJCws8//xx08GB6WhqDDgEdOnWaPnMmBAvmzz8VHAyBg5NTyNmzEERGRg7o2xc8D4AYmzR1ateuXaF3+fLlaZMmMegQsGL16gYNGkAwa8aMC2fPQmBnbx9y7hzHcRBMGDfu+rVrEBBQq3btJcuXW1paQvDLL7+MHTmS4Q3XcuUCDx2C3u3bt4f6+HDQIWDF6tUNGjSAXkxMTKf27RkRAAKGjxgxcNAgADzP9/P2fnj/PgQOjk4bNm9yLVMGAq1W+72v751btyAgxo4eP168eHEACQkJbVu1As8DIGD0uHF9vL0hWLF8eVBgIIMOAfUaNJg1e7adnR0EmzZu3LV9O8MbBAwaMmTY8OEoUIyIUGgcDw5esWyZSqlkyBcBjLHvGjacP3++hYUFBOHh4T79+xPPAyCgVas2cxbMQ27Hjx9fNG8ewxveAweOHDkSABE1a9JEkZYGQUNPz2UrViAHrVbr5emZlZEBQZsOHWb5+UEv8MCBVStWMOhwUunZCxesra2hd+vWLd+hQznoENDEy2vx0qXI4cD+/Wv8/SEgYNnKlY0aNcI/yczMbNakiVathoDwdgx/sbG13XPggLOzMwR9evR49PAhBN81aLBy9WoILly4cP7cORABsLK2nuXnxxiD3uZNm3YGBDDoEGMhZ886OjpC0KVjx5cvXkDwbf36q9asgYCI2rVunRAXB4Gdg8OBQ4dsbW2hl5qa2sLLCzwPQf1GjVasXAm9fXv3rV21kkGHcVzIuXP29vbQu3D+/Mxp0xh0CFi7cWOdOnUAnDhxYuHcuQw6xNjKNWvq1auHHA4GHly5fBmDDg9s2rr1m2++AXD16tUpEyYw6PDA1u3bq1WrBiAmJqZ7ly4alQoAAeUqVNi+c6eZmRn0tFpth3btEmJjISBg+apVDRs2RIFiRITCJDo6+mBg4OWLFxPi4wEwvB0BXs2bL1y8GIJpU6ZcvniRQUcmlx86erRo0aLI7ffffx85fDjDG9179xk/YTyAR48e9e7RgxEBIGDYiBGDBg1CDpGRkf29vRkRAAImTpnSrXt36M3x8zsbEgKBa9mygUFByOGH3bs3rF3LIOC43Xv3VqxYETmsWb36wJ49+B+OO3HqlLOLC/7Jb7/9NsrXl0EUAszNzZesWFGnTh0IFApFi6ZeWo0aAAFDfX19Bg/G2xCRQqF49erVkydPbv72e8jJE7xWC0GRYsWDT56AICkpqXWLFuB5AAQMHDx4uK8vBK9everUvj14HgABg4YMGTZ8OHKIiory7tmTQYeAIcOGDR46FHqzZ806d/o0BCVKlTp87BhyWLN69f49exh0mFR64dIlS0tLAD4DBtwLDYXgaze3jZs3I7fTISHLlyxh0OGBgJ07q1atCmDjhg0/7NgBgczE5MLly6ampgDWr1u3Z9cuBh1ibM369XXr1kVuY0eP/vX6dQiYRBJy9qy9vT0KFCMiFD48z4eHh//+22/h9+6F3r2blJTEAIZcmERyJDi4WLFiGRkZbVq0yM7KgqBB48bL/f2Rx40bN8aOGsVBhwCfoUOHDhsG4Hhw8KL58xl0CFi9fv23336LHI4cPrxs8WIGHQJ2/PCDm5sb9Hp07frsyRMIWrZpM2fePOQwY9q0S+fPQ1CytGvQ0SPIbaSv783ffoPAuUiREyEhEOGH3bs3rF3L8A8IAGO1atUeN3FCuXLloPfbb7+N9PXloEPAqrVrv6tXDzmEh4dfvXIlLDT0yePHKcnJPM9DwPCXJs2aLVqyBIJr165NGjeOQYcHVqxc2bBRIwgunD8/c9o0Bh0Cdu3dW6lSJeRwPDh40fz5DDoErFyzpl79+tDr1qXLi6dPIWjavPnCxYuRw7AhQ+788QcEruXKBR46BCA6Orprp07gefwP00FuJGDQIcaOnzpVpEgRAKNHjvztl18g+Lpy5V179kDQtUuX6KdPIShXocK+wEDkMX7M2Bs//wRBsRIljh4/joLGiAiFG8/zUVFRVy5fORF8LDEhgeENAvzXrKlfv/61a9cmjRvHoEPA2IkTe/XqhTwOHTzov2wZgw4B8xYubNGyJYBlS5YeCTrEoMM47sKVK5aWlshh4YIFJ44dY9AxMTO7dPWqVCqFICUlpXWLFrxGA4CACZMnd+/RAzl06dDhZXQ0BK3btfObMwc5EFHzJk3S09IgaOjpuWzFCogwbcqUKxcvQkCAlZUVGIMeY8zKysqlSBG3Ku6eTTzd3NyQ284dOzZv2MCgwySSsxcu2NjYQPD69eulixb98ssvxPMMfyGA4zie5xl0CPh+1Oj+A/pDsGXz5p3btuF/GAs5d87BwQGC1atWH9i7h0HH0tr67IULUqkUOSxbuvTooUMQMKn0zLlztra2EKSmprb08iKeB0DAiNGj+/XvDz2NRtPSy0uRng5B63bt/ObMARB8LHjxgvkMYllaWV24coUxRkQtvLzSUlIg6Ni169Rp0wA8e/ase5cujAgAAX369Rs9Zgzy6NOz56OoKAi8WrZcsHAhChojInwmUlNTB/Xv//LFCwgIWLV27Xf16m3bti1g82YGHQI2BwRUr14decyaOfPCmTMQMIkk+ORJFxcXAAMHDIgIDYWglKvroSNHkJt3r14PHzyAoErVqgE7d0Lvxo0bY0eN4qDDAzt2765SpQr0kpKSWjVvzogAEDB24sRevXohh8ePH/fs1o2DDgG+I0cOGDgQInRs3/71y5cQmFtYnLt0SSKRQI8JkL9pU6ZcuXgRgpKurkFHjkAQExPjO3To61evGHQIAGPOzs6uZcq4V61qa2fnv3Qpgw4PbNyypWbNmhCMGzPml59/hsClWLHjJ09Cb/jQobdv3YKgWo0am7dtQ26DBgwIDw2FoKSra9CRI9C7/vP18WNGM+gQsGnbtho1akAv6sED7969GREAAiZOmdKte3cAS5csORoUxKDDOM7UzAx/y6NatdVr1wJ4+vRpj65dGREAAqbNnNmxUycAp06enD9nDoMOAfMWLWrRogVyUygUrZo3VyuVAAgYPW58H+8+KGiMiPBJqdXq3j17apRKCGrUrj3Lzw/5mD516uULF/A/HHf0+PFixYr5L18eFBgIAQFHjh8vUaIEcsvMzOzQpk16WhoEld3dd+zaBUCpVDZr0kSVnQ1By7Zt58ydixzi4+M7tGnDa7UQdO/de/yECdAL2LZt2+bNDDqmZmbnL1+W/7/24AQo6nqBA/j3twu7y5kXSeFLKA9MxDJQEw/yQFAXFPCEUFDEG0UEJQQUQRE0K844lkMUSUwFNq4VbUpTSBMw1BJJJ2JQRNYQkOX/e/1/w47Ls568mef43kyfj0gEtbPl5YH+/gQ8SkhyWpqlpSU0nD51KmL3bgIeB8TGx4+fMAHPc//+/Xn29qAUzDtWVolJSfhPzJdKGxsawNg5OOzeswcApdR75crqq1cJeCKx2NPb297e/rXXXgPzedLnqZ8nEfC0RKIShUJXVxcApdTBzu7hgwdgZtjZRezdC6a7u3v2jJm/P1ICoMASN7ctfn7Q0NnZOeuD6U86O8DMmD07IjISainJycmJiQQ8oba24uxZiUQCtRMnTkRFRBDwOECWmTl69GgAG9aurbx0CYz522/LMjPxbxFCwBTk54eHhRHwOODIsWPDhg0DkJiQkJ6SAoYCsYmJ1tbW6C0/P39PWBgBjwOSkpPfHTcO/22EUoqXqqmpaZ6DgwA9Rltapspk+DMcxy10dv717l0wpmZmOcePA4iMiDh94gQYDsg8fNh81Cj0li6TJcTGEvAoEBwWJpVKAdTW1i53dxegx5oNG1Z4ekKDLC0tMS6OgEeBnWFh86RSqPn7+X1z7hyYMe+8k5yaCg3xcXEZaWkEPJFYXHb2rEgkgob9UVF5ubkEPCIUligUBgYGeJ4zCsWOgACCHkvc3Db7+aHPmpqanObNo93dACjg6+e3zM0NwKVLlzatWwdKAXBAWHj4nDlzoGHlihXXqqvBjBg1KvPwYTB37txZ6OxMKAVAgXUbNy5fsQLMTz/95LZkiQA8CoRHRtrNng0NVVVVqzw9BeBRYPPWrUuXLYOav5/fN+fOgRlubp6VnQ0NUZGRX+blgRHr6JSeOSMSiQB4LHW7efM6mDFj30lOS0XfxERHf5GTQ8DTNzQsPXOGEAIg7rPPstLTwVAg5uOPp0ydCg0qlepDN7fbP/8MRlskKlYodHV18d9GKKV4qe7duzfPwYFQCkZbLM46csTU1BTPSExIkKWkEPAosN7X18PDA0BCfEJ6agoBjwI+69Z5rVwJDTU1NRvWrOlobwfz5rBhmdnZWlpaAEpLS4O3byfo4bN+vaeXF9Ru3brls3Ll748egaGEfJGX98bQoVCba2/ffO8eAAosXLzYPyAAGjZv8v3u22/AjLa0TJXJ0NvKFZ7XqqvAmL71Vk5uLvogLjY2UyYj4FFg15499g4O6LPy8vLt/v4EPAp8npY2duxYAPujovJycwl4uvr6JQqFlpYW1C5+953vxo3gODCOCxYEBQeDKfrqq9DgYAIeBeKSkqysrMCcAvoWPgAACIhJREFUyMuLiowkYASCEydPvm5iAg1Hjxw5dOAAAY8DUmQyS0tLMJRSqYPD/Xv3wMx1ctoZEgINy93db9TWgrGwtEyRycD4rFp19coVMK/063daLheLxVB7/PhxRHj447Y2MEP+8Y+t27aBWeXlVXP1Kpj3xo+PS0gAEx8Xl5mWBoYCbsuXb9q0CRpioqO/yMkh6DHC3DwzOxsvAKGU4qXiOG6uvX1LczMYChgNHrzC09PK2trIyIjjuObm5pqaGnlBQWVFhQA8Crw1fHhGVpa2tjaAr7/+etuWLQQ9dPT0wsLDp06dSgjp6OjIz89Piov7/dEjMEJt7diEhHfffReMvLBwV0gIQQ+jwYP3RUebm5srlcqzZ88mxsU9bGkh6NF/4MDCoiKBQADmt99+my+VEkoBUGCVj4/36tVQo5Taz5rV2tICxnnRooDAQGjo7Oy0mz69s6MDzFxHx52hoeiDTRs2XLpwAQwHfHn6tImJCfosLjY2UyYj4IkkkhKFQiKRAFjr43OlshKMvqGhvLhYJBKBqays3BkU1NLcDIYCATt2uLi6gjkQE5N79CgBT6itXVZerqOjA2ZvZOSpvDwwAwcNKiwuRm9hoaFFBQVgRGJxyZkzEokETENDg7OTEzgOAAUCg4KcXVyg1t7ebjd9eteTJ2BcFi/eFhAAJjIi4tSJEwQ8CsyVSgO2b5dIJADu3LkTER7+w+XLBDxKyK7wcHsHBwBPnjyxmz69o70dzDIPj02+vmAKCwp2h4YS9BBLJMEhodNnzhAKhXV1dbLU1OKiIgGecnR2DvroI7wAhFKKl+1ATEzu0aMET1GAAkKBAADHcWAIeBQwevXV+KSkN954A0xXV5fz/Pn3GhvBUPD69++vr6/f1NTU2dlJ0IMSsmXr1iVLl0Kt/Ez59m3+BD0oQAgRCoQc5f4AgBACSsFMeP/9T2JjoaYoKwsKDCToIRQKjYyNBwwYkJaeDqC+vn6xqyuhFAAFgkNDpY6O0FBVVeXt5UUoBUCBrQEBixYvxvNwHOcwa1brw4dgBg4aVFhcjP/EhnXrKi9eBDPKwkKWkQFmladXTdVVMBR4z3r8pMk2Tzo7KyoqrlRUUICgBwVS09MtxowBs8rLq+bqVTDDzc2zsrOhttzd/UZtLRibadMOHDyI3pa4utbfvg3G/O3R6VmZUCspKdm5YwcBjwMOHz06YsQIqF2+fHmNt7cAPAqE7No1d948MOe//XaLry+hFAwFDA0Nh5qadnR23rp1i1OpCHgUWLhkif+2bWCu1dR4rVhBKAVAgYh9+2bOmgWmtbXVcc6czo4OMBQ8sVispa3d1tYGSsEQ8CgQGBTk7OKCF4BQSvGytbW1rfXxuVFbS/AcFHhz2LB9+/cPHToUGgoKCsLDwgil+AsUEAgEGzZvdnNzg4bW1tb5Uml7WxueQYEpttOu/1h7v6kJAAWWe3mtW78easXFxSFBQQS9WI2fEJsQD0Aul+/auZOAxwHHjh83MzODhmM5OQejowl4HJCWkWFhYYHnqa+vX+zqSigF8/7kyR9/8gn6jOM4Bzu71pYWMM6LFgYEbgfz6aefZmdkEPwrCgiFwtGWllVXrhAwAkFRSWm//v0AdHV12c2Y2d72OxjHBQuCgoPBdHR0zLS1VXV1AaDA6jVrV3qvggalUjl75kza3Q2AAs6LFgUGBkLt00OHsrOyCHh6+vrFCoWWlhbUDmdlfXboEAGPEpJ7PG+o6VCoBW3frigtJfhLlJCly9x8t2wmhIA5lpNzMDqagBEITubnGxsbQy0xIUGWkkLwZwSCuVJpwalTBDxKSGZ29siRI/ECEEop/ge0trbu27u3XKGgHEfwJyhgaGi4cOlSDw8PiUSCZ2RmZCTFx6tUKoJ/RQFTMzM/f/8JEyfiGfLCwojdu1UqFUEPCojF4qXu7vPnL1jg5AiOwx8I2X/gwNRp06CmVCqXu7s3/PorwVMeXl7r1q8HsD8qKi83l4Bn8MorxWVlAoEAGkJ27iyRy8FIdHRKy8u1tbXxPAX5+eFhYQQ9PL29fdasQZ/V19cvdnUllOIPhOwIDnaaPx9MS0vL2tWrb9fVETxFAVMzs4AdO6qrqhJjY8FQIDAoyNnFBcD12trlH35IKAVAgYCgIBcXFzBXLl9es3o1oRQAJeTgoUM2kydDw3cXLvhu3EgoBUCBoJAQJycnqK1fu/b7S5fAjB03Lik5GRpCPgouKfoKTL/+/eUlJQKBAGpdXV0HYmJOffkl191N0AsFXjMx2eTrO33GDGgICwkpKiwEM9jY+GRBASEEaiqVKjQkpKy4mOApCujp62/x93/c1nYwOpqAp6unV1peLhQK8QIQSin+Z9y8ebOsrOzH6urGxsbubg4ABe3fr99QMzMra2tbW1t9fX38tdt1dadOnqyqqmp58AAgADXQNxhlMdrGZrLNZBuhUIi/cOvnn+Vy+S/19d0qlURHZ6S5ub2Dg7GxcXNzc2VFBdQm2dgYGBhAw+PHj8vKym7X1am6uohAwHV3z5VKR40aBeD7ysr79++DMTA0nDRpEnq7cP68UqkEo6unN2XKFPTBzZs3b9fVQc3CwsJkyBD0WWNj49UffoCa9fjxAwYMgJpSqczMyLj8/fctDx6IRCJTM7NpH3xgZ2enpaVVX19/4/p1qJkMGWJhYQGgoaGhuqoKau9ZWQ0aNAjM3bt3f7x2DWqTp0zR09ODhvr6+hvXr0PNytp64MCBUPv63Ln29nYwr5uYjBkzBhrOnz//SKkEY2BgMMnGBs+orq4uksurq6sfKR8B0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06:49:10"} 
[2026-01-29 06:49:30] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_depth":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flush/Stud 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than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"49.6"}},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: API Input Data Collected {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","sign_depth_or_thickness":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"49.6","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"23","perimeter_of_sign":"95.24","nested_area":"27.78","occupied_area":"11.58","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"49.6","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null}},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Looking up SignType {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Retrieved Material Formulas {"data":{"sign_type_id":14,"formulas_count":24},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Retrieved Variables List {"data":{"sign_type_id":14,"variables_count":9},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Price Map Constructed {"data":{"price_map":{"material501803":3.6821,"weight_material501803":0.629,"material501880":2.4107,"weight_material501880":0.503,"material501060":2.2179,"weight_material501060":0.378,"material500730":2.7786,"weight_material500730":1.481,"material500591":0.9286,"weight_material500591":0.357,"material500611":0.0062,"weight_material500611":6.2e-6,"material500214":0.0025,"weight_material500214":2.5e-6,"material501055":0.0155,"weight_material501055":1.55e-5,"material502098":0.0286,"weight_material502098":2.86e-5,"material502079":0.0163,"weight_material502079":1.63e-5,"material502350":0.0254,"weight_material502350":2.54e-5,"material501680":0.0076,"weight_material501680":7.6e-6,"material502131":0.0271,"weight_material502131":2.71e-5,"material500379":0.132,"weight_material500379":0.09,"material500419":0.16,"weight_material500419":0.11,"material502106":0.13,"weight_material502106":0.16,"material502567":0.13,"weight_material502567":0.21,"material502564":0.18,"weight_material502564":0.35,"material500154":0.4,"weight_material500154":0.38,"material502074":0.8,"weight_material502074":1.0}},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Variables Price Constructed {"data":{"variables_price":{"variable82":0,"variable83":0.75,"variable84":1.1,"variable85":1.2,"variable86":0,"variable87":0,"variable88":0,"variable89":0,"variable90":0}},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Final Variables Merged {"data":{"variables_count":161},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Initialized items collection {"data":{"count":0},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Merged material items {"data":{"formulas_count":24,"items_count_after_merge":24},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Merged variable items {"data":{"variables_count":9,"items_count_after_merge":33},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Sorted items collection {"data":{"items_count":33,"first_item":{"type":"material","id":298,"expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, variable85 * nested_area * material501803, 0 )","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","var_name":"material501803","price":"3.6821","description":"Aluminium sheet 0.098\" – Durable, corrosion-resistant, suitable for both indoor and outdoor channel letter faces.","sequence_no":1},"last_item":{"type":"variable","id":90,"expression":"totalCost * variable84","dense_weight_expression":"totalDenseWeight  * 1.1","name":"Total Cost","var_name":"variable90","price":null,"description":null,"sequence_no":33}},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Initializing MathExecutor {"data":{"variables_count":161},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: MathExecutor variables set {"data":{"variables_count":161},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, variable85 * nested_area * material501803, 0 )","result":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches, weight_material501880 * occupied_area, 0 )","itemDenseWeight":"5.82474"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches, variable85 * nested_area * material501880, 0 )","result":"80.3630952"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, 0, weight_material501060 * ( sign_depth_or_thickness / 12 * perimeter_of_sign )  )","itemDenseWeight":"3.00006"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, 0, material501060 * variable85 * ( sign_depth_or_thickness / 12 * perimeter_of_sign )  )","result":"21.1232796"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, occupied_area * weight_material500730 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, variable85 * nested_area * material500730, 0 )","result":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * weight_material500591 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, variable85 * ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * material500591, 0 )","result":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: No formula, default result applied {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight":0,"result":0},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Epoxy Primer Pakistan","dense_weight_expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * weight_material500611","itemDenseWeight":0.006467240956},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Primer Pakistan","expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * material500611","result":6.4672409559999995},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Master Thinner Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * weight_material500214","itemDenseWeight":0.0005136493916666667},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"Master Thinner Pakistan","expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * material500214","result":0.5136493916666667},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Epoxy Hardner Master Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * weight_material501055","itemDenseWeight":0.004899424966666667},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Hardner Master Pakistan","expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * material501055","result":4.899424966666667},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * weight_material502098 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * material502098, 0 )","result":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * weight_material502079 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * material502079, 0 )","result":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502350 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502350, 0 )","result":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * weight_material501680 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * material501680, 0 )","result":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * weight_material502098 )","itemDenseWeight":"0.010069507066667"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * material502098 )","result":"10.069507066667"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502131 )","itemDenseWeight":"0.0048870514"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502131 )","result":"4.8870514"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * weight_material502350 )","itemDenseWeight":"0.006543548"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * material502350)","result":"6.543548"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * weight_material501680 )","itemDenseWeight":"0.00052210986666667"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * material501680 )","result":"0.52210986666667"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"Paint Miscellaneous cost","expression":"0.2 * ( formula304 + formula305 + formula306 + formula307 + formula308 + formula309 + formula310 + formula311 + formula312 + formula313 + formula314 )","result":6.780506329533401},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"Packaging/Box Making","expression":"variable83 * nested_area","result":20.835},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 5ply","dense_weight_expression":"if( ( width_of_sign > 0 || other_dimension_of_sign > 0 ) && width_of_sign <= 30 && other_dimension_of_sign <= 30, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500379 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 5ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 7Ply","dense_weight_expression":"if( ( width_of_sign > 30 || other_dimension_of_sign > 30 ) && width_of_sign <= 50 && other_dimension_of_sign <= 50, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500419 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 7Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight_expression":"if( ( width_of_sign > 50 || other_dimension_of_sign > 50 ) && width_of_sign <= 60 && other_dimension_of_sign <= 60, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material502106 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ) && width_of_sign <= 70 && other_dimension_of_sign <= 70, nested_area * 2 * weight_material502567 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight_expression":"if( ( width_of_sign > 70 || other_dimension_of_sign > 70 ) && width_of_sign <= 90 && other_dimension_of_sign <= 90, nested_area * 2 * weight_material502564 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight":"0","result":0},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight_expression":"if( ( width_of_sign > 90 || other_dimension_of_sign > 90 ), nested_area * weight_material500154 * 2, 0 )","itemDenseWeight":"21.1128"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight":"21.1128","result":0},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Wood Lar 9''x132''","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ), 4 * sqrt(nested_area) * (  ( sign_depth_or_thickness + 2 ) / 12 ) * weight_material502074 , 0 )","itemDenseWeight":"5.2706735812418"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: No formula, default result applied {"data":{"name":"Wood Lar 9''x132''","dense_weight":"5.2706735812418","result":0},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: No formula, default result applied {"data":{"name":"Miscalleneous (10%)","dense_weight":0,"result":0},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: No formula, default result applied {"data":{"name":"Where Wastage magnification factor for Sheets consumption is taken as","dense_weight":0,"result":0},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"Flush/Stud Mount","expression":"if(mounting_type == mounting_type_flush_stud_mounted, 1, 0 )","result":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Standard Raceway (6x2)","dense_weight_expression":"if(mounting_type == mounting_type_standard_raceway_6x2, (  (  (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_height * 2 ) + ( raceway_height * raceway_depth * 2 ) + (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_depth * 2 )  ) / 144 ) * weight_material501803 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"Standard Raceway (6x2)","expression":"if(mounting_type == mounting_type_standard_raceway_6x2, variable85 * (  ( material501803 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  ) + ( 2.7 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Flat Backer (2.5 mm)","dense_weight_expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) / 144 * weight_material501803 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"Flat Backer (2.5 mm)","expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, variable85 * (  ( material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2.7 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Dense weight computed {"data":{"name":"Backerboard Cabinet (2\")","dense_weight_expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, (  ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  ) + ( 2 * (  ( other_dimension_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  )  ) / 144 * weight_material501803, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula executed successfully {"data":{"name":"Backerboard Cabinet (2\")","expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, variable85 * (  (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * material501803 / 144 ) + (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * 2.7 / 144 )  ), 0 )","result":"0"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Total Cost formula detected {"data":{"item_id":90},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Formula calculations completed {"data":{"total_items":33,"successful_calculations":32,"errors_count":0},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Summed initial totals {"data":{"totalCost_before_formula":164.00441277720043,"totalDenseWeight_before_formula":35.24217611288947},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Total Cost formula executed {"data":{"formula":"totalCost * variable84","computed_totalCost":180.4048540549205},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Total Dense Weight formula executed {"data":{"formula":"totalDenseWeight  * 1.1","computed_totalDenseWeight":38.766393724178414},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Total Cost result added to calculationsResults {"data":{"variable_id":90,"result":180.4048540549205,"dense_weight_expression":38.766393724178414},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Preparing boxes for bin packing {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","objects_count":23,"totalDenseWeight":0},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: Processing flush stud mounted objects for 3D bin packing {"data":{"objects_count":23,"sign_depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-1","width":3.44,"height":7.26,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-2","width":3.44,"height":7.26,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-3","width":7.64,"height":7.26,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-4","width":7.26,"height":7.64,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-5","width":7.26,"height":7.64,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-6","width":7.26,"height":7.64,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-7","width":4.59,"height":9.17,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-8","width":8.41,"height":9.55,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-9","width":4.2,"height":9.55,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-10","width":7.64,"height":9.55,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-11","width":8.03,"height":9.94,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-12","width":3.82,"height":9.94,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-13","width":8.41,"height":9.94,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-14","width":16.05,"height":9.94,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-15","width":51.59,"height":23.69,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-16","width":14.14,"height":13.76,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-17","width":17.58,"height":18.73,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-18","width":4.97,"height":4.97,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-19","width":16.05,"height":14.52,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-20","width":3.82,"height":4.2,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-21","width":31.34,"height":10.32,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-22","width":19.49,"height":19.49,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:30] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-23","width":21.4,"height":19.11,"depth":"1"},"timestamp":"2026-01-29 06:49:30"} 
[2026-01-29 06:49:31] local.INFO: 3D Bin Packing API response received {"data":{"response":{"response":{"id":"1769669371_1f317dc6850d8c9963c2b0419ef2dd07","bins_packed":[{"bin_data":{"w":51.89,"h":23.99,"d":9.1,"id":"unique","used_space":47.7513,"weight":0,"gross_weight":0,"used_weight":100,"stack_height":23.99,"order_id":null},"image_complete":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/eec9a259f162b561511a5714f1110c1d/1769669371-467-1355811.svg","items":[{"id":"item-14","w":16.35,"h":10.24,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/eec9a259f162b561511a5714f1110c1d/1769669371-4653-1720506.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-10","w":7.94,"h":9.85,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/eec9a259f162b561511a5714f1110c1d/1769669371-4655-6487374.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-18","w":5.27,"h":5.27,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/eec9a259f162b561511a5714f1110c1d/1769669371-4655-7792586.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-7","w":4.89,"h":9.47,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/eec9a259f162b561511a5714f1110c1d/1769669371-4656-8907727.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-20","w":4.12,"h":4.5,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/eec9a259f162b561511a5714f1110c1d/1769669371-4657-9930592.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-13","w":8.71,"h":10.24,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/eec9a259f162b561511a5714f1110c1d/1769669371-4657-6418769.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-11","w":8.33,"h":10.24,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/eec9a259f162b561511a5714f1110c1d/1769669371-4658-4688865.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-12","w":4.12,"h":10.24,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/eec9a259f162b561511a5714f1110c1d/1769669371-4659-5000171.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-4","w":7.56,"h":7.94,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/eec9a259f162b561511a5714f1110c1d/1769669371-4659-4878262.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-5","w":7.56,"h":7.94,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/eec9a259f162b561511a5714f1110c1d/1769669371-466-6964848.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-6","w":7.56,"h":7.94,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/eec9a259f162b561511a5714f1110c1d/1769669371-466-4775728.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-21","w":31.64,"h":10.62,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/eec9a259f162b561511a5714f1110c1d/1769669371-4661-8905268.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-19","w":16.35,"h":14.82,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/eec9a259f162b561511a5714f1110c1d/1769669371-4662-2836823.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-8","w":8.71,"h":9.85,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/eec9a259f162b561511a5714f1110c1d/1769669371-4663-4895108.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting 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normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-17","w":17.88,"h":19.03,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/eec9a259f162b561511a5714f1110c1d/1769669371-4666-7813764.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-23","w":21.7,"h":19.41,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/eec9a259f162b561511a5714f1110c1d/1769669371-4667-5135404.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting 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[2026-01-29 06:49:31] local.INFO: Box added from packed bin {"data":{"length":9.1,"width":51.89,"height":23.99,"denseWeight":0},"timestamp":"2026-01-29 06:49:31"} 
[2026-01-29 06:49:31] local.INFO: Shipping rates calculated {"data":{"boxes":[{"size":{"length":11.1,"width":53.89,"height":26.24},"quantity":1,"denseWeight":1}],"cheapestShippingCost":517.4798749999999,"rawShippingRates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":82.4,"rate":652.405,"tariffAndDS":734.805,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":1172.1794054999998,"totalShipmentCostFormula":"((tariffAndDS (734.805) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 1172.18","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":82.4,"rate":370.20000000000005,"tariffAndDS":452.6,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":747.4326599999999,"totalShipmentCostFormula":"((tariffAndDS (452.6) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 747.43","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":51.5,"rate":484.935,"tariffAndDS":536.435,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":824.5005949999999,"totalShipmentCostFormula":"(( tariffAndDS (536.435) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 824.500595","warnings":[]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":82.4,"rate":"479.70","tariffAndDS":562.1,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":606.1,"totalShipmentCostFormula":"(((tariffAndDS (562.1) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 606.1","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":0,"rate":326.09999999999997,"tariffAndDS":326.09999999999997,"fuelSurcharge":"0.3250","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":517.4798749999999,"totalShipmentCostFormula":"(((tariffAndDS (326.1) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3250)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 517.479875","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":0,"rate":965,"tariffAndDS":965,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":965,"totalShipmentCostFormula":"((tariffAndDS (965) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 965"}]}},"timestamp":"2026-01-29 06:49:31"} 
[2026-01-29 06:49:31] local.INFO: Product cost factor determined {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","productCostFactor":1.66},"timestamp":"2026-01-29 06:49:31"} 
[2026-01-29 06:49:31] local.INFO: Final API Response {"data":{"sign_width":"120","sign_height":"49.6","sign_depth":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","processed_sign_type":"Fabricated Channel Letters - Non Illuminated","sideViewImage":"https://api.signize.ai/mockups/flush-stud/flush-stud-fabricated-channel-letters-non-illuminated.png","mounting_type":"Flush/Stud 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1172.18","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":82.4,"rate":370.20000000000005,"tariffAndDS":452.6,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":747.4326599999999,"totalShipmentCostFormula":"((tariffAndDS (452.6) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 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kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":82.4,"rate":"479.70","tariffAndDS":562.1,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":606.1,"totalShipmentCostFormula":"(((tariffAndDS (562.1) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 606.1","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":0,"rate":326.09999999999997,"tariffAndDS":326.09999999999997,"fuelSurcharge":"0.3250","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":517.4798749999999,"totalShipmentCostFormula":"(((tariffAndDS (326.1) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3250)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 517.479875","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":0,"rate":965,"tariffAndDS":965,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":965,"totalShipmentCostFormula":"((tariffAndDS (965) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 965"}]},"cheapest_shipping_cost_usd":520.0,"totalCost":820.0,"productionResults":[{"material_id":298,"dense_weight_expression":0,"result":"0","sign_material":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","description":null,"sequence_no":1},{"material_id":299,"dense_weight_expression":5.82474,"result":"80.3630952","sign_material":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","description":"Aluminium sheet 0.079\" – Lightweight yet rigid, ideal for medium-sized channel letter faces.","sequence_no":2},{"material_id":300,"dense_weight_expression":3.00006,"result":"21.1232796","sign_material":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","description":"Aluminium sheet 0.059\" – Flexible and easy to bend, ideal for channel letter returns.","sequence_no":3},{"material_id":301,"dense_weight_expression":0,"result":"0","sign_material":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","description":null,"sequence_no":4},{"material_id":302,"dense_weight_expression":0,"result":"0","sign_material":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","description":null,"sequence_no":5},{"material_id":303,"dense_weight_expression":0,"result":0,"sign_material":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","description":null,"sequence_no":6},{"material_id":304,"dense_weight_expression":0.006467240956,"result":6.4672409559999995,"sign_material":"Epoxy Primer Pakistan","description":null,"sequence_no":7},{"material_id":305,"dense_weight_expression":0.0005136493916666667,"result":0.5136493916666667,"sign_material":"Master Thinner Pakistan","description":null,"sequence_no":8},{"material_id":306,"dense_weight_expression":0.004899424966666667,"result":4.899424966666667,"sign_material":"Epoxy Hardner Master Pakistan","description":null,"sequence_no":9},{"material_id":307,"dense_weight_expression":0,"result":"0","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":10},{"material_id":308,"dense_weight_expression":0,"result":"0","sign_material":"Matting Agent (P565-554) 1L Nexa Pakistan","description":null,"sequence_no":11},{"material_id":309,"dense_weight_expression":0,"result":"0","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":12},{"material_id":310,"dense_weight_expression":0,"result":"0","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":13},{"material_id":311,"dense_weight_expression":0.010069507066667,"result":"10.069507066667","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":14},{"material_id":312,"dense_weight_expression":0.0048870514,"result":"4.8870514","sign_material":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","description":"High Quality Gloss / Satin Paint – PU or solvent-based, gloss (70+ GU) or satin (30–50 GU) sheen.","sequence_no":15},{"material_id":313,"dense_weight_expression":0.006543548,"result":"6.543548","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":16},{"material_id":314,"dense_weight_expression":0.00052210986666667,"result":"0.52210986666667","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":17},{"variable_id":82,"dense_weight_expression":0,"result":6.780506329533401,"sign_material":"Paint Miscellaneous cost","description":null,"sequence_no":18},{"variable_id":83,"dense_weight_expression":0,"result":20.835,"sign_material":"Packaging/Box Making","description":"Custom Packaging with 3–5 ply corrugated boxes with inner foam/styro and stretch wrap.","sequence_no":19},{"material_id":526,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 5ply","description":null,"sequence_no":20},{"material_id":527,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 7Ply","description":null,"sequence_no":21},{"material_id":528,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 9 Ply","description":null,"sequence_no":22},{"material_id":529,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 5mm 3 Core 4*8","description":null,"sequence_no":23},{"material_id":530,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 7mm 4 Core","description":null,"sequence_no":24},{"material_id":531,"dense_weight_expression":21.1128,"result":0,"sign_material":"Plywood Sheet 8*4 Mersawa 6 core 9MM","description":null,"sequence_no":25},{"material_id":532,"dense_weight_expression":5.2706735812418,"result":0,"sign_material":"Wood Lar 9''x132''","description":null,"sequence_no":26},{"variable_id":84,"dense_weight_expression":0,"result":0,"sign_material":"Miscalleneous (10%)","description":null,"sequence_no":27},{"variable_id":85,"dense_weight_expression":0,"result":0,"sign_material":"Where Wastage magnification factor for Sheets consumption is taken as","description":null,"sequence_no":28},{"variable_id":86,"dense_weight_expression":0,"result":"1","sign_material":"Flush/Stud Mount","description":"Sign to be Flush/Stud Mounted to the wall.","sequence_no":29},{"variable_id":87,"dense_weight_expression":0,"result":"0","sign_material":"Standard Raceway (6x2)","description":null,"sequence_no":30},{"variable_id":88,"dense_weight_expression":0,"result":"0","sign_material":"Flat Backer (2.5 mm)","description":null,"sequence_no":31},{"variable_id":89,"dense_weight_expression":0,"result":"0","sign_material":"Backerboard Cabinet (2\")","description":null,"sequence_no":32},{"variable_id":90,"dense_weight_expression":38.766393724178414,"result":180.4048540549205,"sign_material":"Total Cost","description":null,"sequence_no":33}],"productionError":[],"request":{"sign_width_or_height":"120","sign_depth_or_thickness":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"49.6","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"23","perimeter_of_sign":"95.24","nested_area":"27.78","occupied_area":"11.58","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"49.6","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null},"TATDays":21,"testDenseWeight":38.766393724178414},"timestamp":"2026-01-29 06:49:31"} 
[2026-01-29 06:49:31] local.INFO: API Epic Craftings Calculation Ended ======================================================================================================== {"data":null,"timestamp":"2026-01-29 06:49:31"} 
[2026-01-29 06:49:33] local.INFO: API B2 Sign Calculation Started ======================================================================================================== {"data":null,"timestamp":"2026-01-29 06:49:33"} 
[2026-01-29 06:49:33] local.INFO: Incoming Request {"data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":49.6,"sign_width":"120","dimensions":[{"id":"a7cd7607-b2bb-4892-9875-b687688bca56","height":7.26,"width":3.44},{"id":"a3a04c78-0d8e-4254-aca8-7797707243c5","height":7.26,"width":3.44},{"id":"ef6f6c67-d25a-4570-8f65-7d7ea2bee7c4","height":7.26,"width":7.64},{"id":"9ada1f02-c28a-4030-b7bc-e7eee9afeba6","height":7.64,"width":7.26},{"id":"b57d31f4-7b0c-4fe4-b199-8c6067e79724","height":7.64,"width":7.26},{"id":"e720ce65-6919-4276-9497-125b49a9f43a","height":7.64,"width":7.26},{"id":"56b517b1-fbba-4b87-8836-86e8cea54090","height":9.17,"width":4.59},{"id":"f7b7e7b9-5e56-458e-a7f7-e534bbfa78c2","height":9.55,"width":8.41},{"id":"cdc5f089-98b0-4e77-bae0-14d191849a17","height":9.55,"width":4.2},{"id":"eda86f1c-047e-49b4-a729-e298085f09e8","height":9.55,"width":7.64},{"id":"483db56c-ab7f-44a1-b0cc-dd62b138a77d","height":9.94,"width":8.03},{"id":"957b1f69-5f00-489a-b4fe-2e95e32b4651","height":9.94,"width":3.82},{"id":"16065d90-12e4-4465-81c9-425e83d7ba45","height":9.94,"width":8.41},{"id":"c9ef1cb2-f9ba-422e-9df5-88a212e28a75","height":9.94,"width":16.05},{"id":"ba754956-9412-40e6-9d18-cf59e80e10a0","height":23.69,"width":51.59},{"id":"4ee295fd-d40c-4271-9989-58e525cd9193","height":13.76,"width":14.14},{"id":"c91e90e6-04d2-4c09-a40d-44c7eec79b4f","height":18.73,"width":17.58},{"id":"eb9f18fb-fd7f-4006-a855-4baa2d64a1cb","height":4.97,"width":4.97},{"id":"66748dfa-b27a-41cf-9a6c-b371cd71dc4c","height":14.52,"width":16.05},{"id":"6d92aced-d0c7-43c6-b60a-78a4bdef549a","height":4.2,"width":3.82},{"id":"e70e224f-6bdf-48c4-b353-2ccf28a63a04","height":10.32,"width":31.34},{"id":"a7523af6-7609-445e-8f6a-af1488d09f1d","height":19.49,"width":19.49},{"id":"26f0b405-70d3-4ac6-860d-a14baf51f4d4","height":19.11,"width":21.4}]},"timestamp":"2026-01-29 06:49:33"} 
[2026-01-29 06:49:33] local.INFO: Validating Request Payload {"data":[],"timestamp":"2026-01-29 06:49:33"} 
[2026-01-29 06:49:33] local.INFO: Request Validation Successful {"data":{"validated_data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":49.6,"sign_width":"120","dimensions":[{"id":"a7cd7607-b2bb-4892-9875-b687688bca56","height":7.26,"width":3.44},{"id":"a3a04c78-0d8e-4254-aca8-7797707243c5","height":7.26,"width":3.44},{"id":"ef6f6c67-d25a-4570-8f65-7d7ea2bee7c4","height":7.26,"width":7.64},{"id":"9ada1f02-c28a-4030-b7bc-e7eee9afeba6","height":7.64,"width":7.26},{"id":"b57d31f4-7b0c-4fe4-b199-8c6067e79724","height":7.64,"width":7.26},{"id":"e720ce65-6919-4276-9497-125b49a9f43a","height":7.64,"width":7.26},{"id":"56b517b1-fbba-4b87-8836-86e8cea54090","height":9.17,"width":4.59},{"id":"f7b7e7b9-5e56-458e-a7f7-e534bbfa78c2","height":9.55,"width":8.41},{"id":"cdc5f089-98b0-4e77-bae0-14d191849a17","height":9.55,"width":4.2},{"id":"eda86f1c-047e-49b4-a729-e298085f09e8","height":9.55,"width":7.64},{"id":"483db56c-ab7f-44a1-b0cc-dd62b138a77d","height":9.94,"width":8.03},{"id":"957b1f69-5f00-489a-b4fe-2e95e32b4651","height":9.94,"width":3.82},{"id":"16065d90-12e4-4465-81c9-425e83d7ba45","height":9.94,"width":8.41},{"id":"c9ef1cb2-f9ba-422e-9df5-88a212e28a75","height":9.94,"width":16.05},{"id":"ba754956-9412-40e6-9d18-cf59e80e10a0","height":23.69,"width":51.59},{"id":"4ee295fd-d40c-4271-9989-58e525cd9193","height":13.76,"width":14.14},{"id":"c91e90e6-04d2-4c09-a40d-44c7eec79b4f","height":18.73,"width":17.58},{"id":"eb9f18fb-fd7f-4006-a855-4baa2d64a1cb","height":4.97,"width":4.97},{"id":"66748dfa-b27a-41cf-9a6c-b371cd71dc4c","height":14.52,"width":16.05},{"id":"6d92aced-d0c7-43c6-b60a-78a4bdef549a","height":4.2,"width":3.82},{"id":"e70e224f-6bdf-48c4-b353-2ccf28a63a04","height":10.32,"width":31.34},{"id":"a7523af6-7609-445e-8f6a-af1488d09f1d","height":19.49,"width":19.49},{"id":"26f0b405-70d3-4ac6-860d-a14baf51f4d4","height":19.11,"width":21.4}]}},"timestamp":"2026-01-29 06:49:33"} 
[2026-01-29 06:49:33] local.INFO: Fetching Sign Type {"data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated"},"timestamp":"2026-01-29 06:49:33"} 
[2026-01-29 06:49:33] local.INFO: Sign Type Query Result {"data":{"found":true,"sign_type_id":14},"timestamp":"2026-01-29 06:49:33"} 
[2026-01-29 06:49:33] local.INFO: Checking B2 Module for Sign Type {"data":{"sign_type_id":14},"timestamp":"2026-01-29 06:49:33"} 
[2026-01-29 06:49:33] local.INFO: Sign Type B2 Module Result {"data":{"has_b2_module":false},"timestamp":"2026-01-29 06:49:33"} 
[2026-01-29 06:49:33] local.ERROR: Sign Type Without B2 Module Attempt {"data":{"sign_type_id":14},"timestamp":"2026-01-29 06:49:33"} 
[2026-01-29 06:49:33] local.INFO: USA Workshop Calculation API Started {"data":{"request":{"sign_type":"Fabricated Channel Letters - Non Illuminated","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":49.6,"sign_width":"120","shipping_weight":51.5,"shape":"rectangular","dimensions":[{"id":"a7cd7607-b2bb-4892-9875-b687688bca56","height":7.26,"width":3.44},{"id":"a3a04c78-0d8e-4254-aca8-7797707243c5","height":7.26,"width":3.44},{"id":"ef6f6c67-d25a-4570-8f65-7d7ea2bee7c4","height":7.26,"width":7.64},{"id":"9ada1f02-c28a-4030-b7bc-e7eee9afeba6","height":7.64,"width":7.26},{"id":"b57d31f4-7b0c-4fe4-b199-8c6067e79724","height":7.64,"width":7.26},{"id":"e720ce65-6919-4276-9497-125b49a9f43a","height":7.64,"width":7.26},{"id":"56b517b1-fbba-4b87-8836-86e8cea54090","height":9.17,"width":4.59},{"id":"f7b7e7b9-5e56-458e-a7f7-e534bbfa78c2","height":9.55,"width":8.41},{"id":"cdc5f089-98b0-4e77-bae0-14d191849a17","height":9.55,"width":4.2},{"id":"eda86f1c-047e-49b4-a729-e298085f09e8","height":9.55,"width":7.64},{"id":"483db56c-ab7f-44a1-b0cc-dd62b138a77d","height":9.94,"width":8.03},{"id":"957b1f69-5f00-489a-b4fe-2e95e32b4651","height":9.94,"width":3.82},{"id":"16065d90-12e4-4465-81c9-425e83d7ba45","height":9.94,"width":8.41},{"id":"c9ef1cb2-f9ba-422e-9df5-88a212e28a75","height":9.94,"width":16.05},{"id":"ba754956-9412-40e6-9d18-cf59e80e10a0","height":23.69,"width":51.59},{"id":"4ee295fd-d40c-4271-9989-58e525cd9193","height":13.76,"width":14.14},{"id":"c91e90e6-04d2-4c09-a40d-44c7eec79b4f","height":18.73,"width":17.58},{"id":"eb9f18fb-fd7f-4006-a855-4baa2d64a1cb","height":4.97,"width":4.97},{"id":"66748dfa-b27a-41cf-9a6c-b371cd71dc4c","height":14.52,"width":16.05},{"id":"6d92aced-d0c7-43c6-b60a-78a4bdef549a","height":4.2,"width":3.82},{"id":"e70e224f-6bdf-48c4-b353-2ccf28a63a04","height":10.32,"width":31.34},{"id":"a7523af6-7609-445e-8f6a-af1488d09f1d","height":19.49,"width":19.49},{"id":"26f0b405-70d3-4ac6-860d-a14baf51f4d4","height":19.11,"width":21.4}]}},"timestamp":"2026-01-29 06:49:33"} 
[2026-01-29 06:49:33] local.INFO: Validation Passed {"data":[],"timestamp":"2026-01-29 06:49:33"} 
[2026-01-29 06:49:33] local.INFO: Input Parameters {"data":{"dimensions_count":23,"shape":"rectangular"},"timestamp":"2026-01-29 06:49:33"} 
[2026-01-29 06:49:33] local.INFO: Resolved Default Data {"data":{"sign_type_map":{"sign_type_halo_lit_letters":"Halo Lit Channel Letters","sign_type_face_lit_letters":"Premium Face-Lit Letters (Metallic Trim)","sign_type_face_and_halo_lit_letters":"Face & Halo Lit Channel Letters","sign_type_single_sided_lightbox":"Fabricated Lightbox - Single Sided","sign_type_double_sided_lightbox":"Fabricated Blade Sign -  Illuminated/Double Sided","sign_type_flat_cut_acrylic_letters":"Flat Cut Acrylic Letters","sign_type_flat_cut_aluminum_letters":"Flat Cut Aluminum Letters","sign_type_single_sided_push_through":"Fabricated Push Through - Single Sided","sign_type_fabricated_letters_non_lit":"Fabricated Channel Letters - Non Illuminated","sign_type_2d_blade_sign":"Flat Blade Sign","sign_type_3d_blade_sign":"Fabricated Blade Sign - Non Illuminated / Double Sided","sign_type_neon_sign":"Neon Sign","sign_type_marquee_channel_letters":"Marquee Channel Letters","sign_type_open_face_neon_channel_letters":"Open Face Neon Channel Letters","sign_type_mirror_infinity_channel_letters":"Mirror Infinity Channel Letters","sign_type_metal_on_acrylic":"Flat Cut Acrylic with Metal Pasting","sign_type_neon_acrylic_sign":"Neon Acrylic Sign","sign_type_double_sided_push_through_cabinet":"Double Sided Push Through Cabinet","sign_type_standard_face_lit_plastic_trim_letters":"Standard Face Lit Letters (Plastic Trim)","mounting_type_flush_stud_mounted":"Flush/Stud mounted","mounting_type_standard_raceway_6x2":"Standard Raceway","mounting_type_flat_backer_2_5_mm":"Flat Backer","mounting_type_backerboard_cabinet_2_inch":"Backerboard Cabinet","avg_char_height_less_than_24_inches":"Less than 24 inches","avg_char_height_greater_than_24_inches":"Greater than 24 inches","raceway_height_6":"6","raceway_height_8":"8","raceway_height_10":"10","raceway_height_12":"12","raceway_depth_2":"2","raceway_depth_3":"3","raceway_depth_4":"4","raceway_depth_5":"5","raceway_depth_6":"6","raceway_depth_7":"7","raceway_depth_8":"8","backboard_cabinet_depth_2":"2","backboard_cabinet_depth_3":"3","backboard_cabinet_depth_4":"4","backboard_cabinet_depth_5":"5","backboard_cabinet_depth_6":"6","backboard_cabinet_depth_7":"7","backboard_cabinet_depth_8":"8","material_aluminium":"Aluminium","material_stainless_steel":"Stainless Steel","application_exterior":"Exterior","application_interior":"Interior","ul_mandatory_yes":"Yes","ul_mandatory_no":"No","paint_finish_gloss_satin":"Gloss/Satin","paint_finish_matte":"Matte","neon_color_simple":"Simple","neon_color_rgb":"RGB","uv_printing_needed_yes":"Yes","uv_printing_needed_no":"No","trim_type_trimless":"Trimless","trim_type_with_trim":"With Trim","fabricated_finish_original_colors_matt":"Original Colors Matt","fabricated_finish_original_colors_gloss":"Original Colors Gloss","fabricated_finish_silver_mirror":"Silver Mirror","fabricated_finish_silver_brushed":"Silver Brushed","fabricated_finish_golden_mirror":"Golden Mirror","fabricated_finish_golden_brushed":"Golden Brushed","fabricated_finish_bronze_mirror":"Bronze Mirror","fabricated_finish_bronze_brushed":"Bronze Brushed","fabricated_finish_bronze_antique":"Bronze Antique","lightbox_type_light_box":"Lightbox","lightbox_type_cut_to_shape":"Cut to shape Lightbox","return_color_black":"Black","return_color_white":"White","return_color_blue":"Blue","return_color_brown":"Brown","return_color_yellow":"Yellow","return_color_teal":"Teal","return_color_orange":"Orange","return_color_golden_brushed":"Gold Brushed","return_color_match_logo":"Match Logo (Default)","shape_rectangular":"Rectangular","shape_cut_to_shape":"Cut to shape","shape_round":"Round"}},"timestamp":"2026-01-29 06:49:33"} 
[2026-01-29 06:49:33] local.INFO: Sign Type Lookup {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","found":true,"sign_type_id":14},"timestamp":"2026-01-29 06:49:33"} 
[2026-01-29 06:49:33] local.INFO: USA Workshop Module Check {"data":{"sign_type_id":14,"has_module":true},"timestamp":"2026-01-29 06:49:33"} 
[2026-01-29 06:49:33] local.INFO: Initial Price Lookup {"data":{"shape":"rectangular","price_found":true},"timestamp":"2026-01-29 06:49:33"} 
[2026-01-29 06:49:33] local.INFO: USA Workshop Price Found {"data":{"base":"object","price_per_inch":5.0},"timestamp":"2026-01-29 06:49:33"} 
[2026-01-29 06:49:33] local.INFO: Calculating Production Cost (Object Base) {"data":[],"timestamp":"2026-01-29 06:49:33"} 
[2026-01-29 06:49:33] local.INFO: USA Workshop Calculation Completed {"data":{"production_cost":1255.35,"dimensions_count":23},"timestamp":"2026-01-29 06:49:33"} 
[2026-01-29 07:31:51] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_depth":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flush/Stud 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than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"49.6"}},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: API Input Data Collected {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","sign_depth_or_thickness":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"49.6","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"23","perimeter_of_sign":"95.24","nested_area":"27.78","occupied_area":"11.58","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"49.6","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null}},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Looking up SignType {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Retrieved Material Formulas {"data":{"sign_type_id":14,"formulas_count":24},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Retrieved Variables List {"data":{"sign_type_id":14,"variables_count":9},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Price Map Constructed {"data":{"price_map":{"material501803":3.6821,"weight_material501803":0.629,"material501880":2.4107,"weight_material501880":0.503,"material501060":2.2179,"weight_material501060":0.378,"material500730":2.7786,"weight_material500730":1.481,"material500591":0.9286,"weight_material500591":0.357,"material500611":0.0062,"weight_material500611":6.2e-6,"material500214":0.0025,"weight_material500214":2.5e-6,"material501055":0.0155,"weight_material501055":1.55e-5,"material502098":0.0286,"weight_material502098":2.86e-5,"material502079":0.0163,"weight_material502079":1.63e-5,"material502350":0.0254,"weight_material502350":2.54e-5,"material501680":0.0076,"weight_material501680":7.6e-6,"material502131":0.0271,"weight_material502131":2.71e-5,"material500379":0.132,"weight_material500379":0.09,"material500419":0.16,"weight_material500419":0.11,"material502106":0.13,"weight_material502106":0.16,"material502567":0.13,"weight_material502567":0.21,"material502564":0.18,"weight_material502564":0.35,"material500154":0.4,"weight_material500154":0.38,"material502074":0.8,"weight_material502074":1.0}},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Variables Price Constructed {"data":{"variables_price":{"variable82":0,"variable83":0.75,"variable84":1.1,"variable85":1.2,"variable86":0,"variable87":0,"variable88":0,"variable89":0,"variable90":0}},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Final Variables Merged {"data":{"variables_count":161},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Initialized items collection {"data":{"count":0},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Merged material items {"data":{"formulas_count":24,"items_count_after_merge":24},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Merged variable items {"data":{"variables_count":9,"items_count_after_merge":33},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Sorted items collection {"data":{"items_count":33,"first_item":{"type":"material","id":298,"expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, variable85 * nested_area * material501803, 0 )","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","var_name":"material501803","price":"3.6821","description":"Aluminium sheet 0.098\" – Durable, corrosion-resistant, suitable for both indoor and outdoor channel letter faces.","sequence_no":1},"last_item":{"type":"variable","id":90,"expression":"totalCost * variable84","dense_weight_expression":"totalDenseWeight  * 1.1","name":"Total Cost","var_name":"variable90","price":null,"description":null,"sequence_no":33}},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Initializing MathExecutor {"data":{"variables_count":161},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: MathExecutor variables set {"data":{"variables_count":161},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, variable85 * nested_area * material501803, 0 )","result":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches, weight_material501880 * occupied_area, 0 )","itemDenseWeight":"5.82474"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches, variable85 * nested_area * material501880, 0 )","result":"80.3630952"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, 0, weight_material501060 * ( sign_depth_or_thickness / 12 * perimeter_of_sign )  )","itemDenseWeight":"3.00006"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, 0, material501060 * variable85 * ( sign_depth_or_thickness / 12 * perimeter_of_sign )  )","result":"21.1232796"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, occupied_area * weight_material500730 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, variable85 * nested_area * material500730, 0 )","result":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * weight_material500591 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, variable85 * ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * material500591, 0 )","result":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: No formula, default result applied {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Epoxy Primer Pakistan","dense_weight_expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * weight_material500611","itemDenseWeight":0.006467240956},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Primer Pakistan","expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * material500611","result":6.4672409559999995},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Master Thinner Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * weight_material500214","itemDenseWeight":0.0005136493916666667},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"Master Thinner Pakistan","expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * material500214","result":0.5136493916666667},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Epoxy Hardner Master Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * weight_material501055","itemDenseWeight":0.004899424966666667},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Hardner Master Pakistan","expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * material501055","result":4.899424966666667},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * weight_material502098 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * material502098, 0 )","result":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * weight_material502079 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * material502079, 0 )","result":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502350 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502350, 0 )","result":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * weight_material501680 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * material501680, 0 )","result":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * weight_material502098 )","itemDenseWeight":"0.010069507066667"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * material502098 )","result":"10.069507066667"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502131 )","itemDenseWeight":"0.0048870514"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502131 )","result":"4.8870514"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * weight_material502350 )","itemDenseWeight":"0.006543548"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * material502350)","result":"6.543548"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * weight_material501680 )","itemDenseWeight":"0.00052210986666667"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * material501680 )","result":"0.52210986666667"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"Paint Miscellaneous cost","expression":"0.2 * ( formula304 + formula305 + formula306 + formula307 + formula308 + formula309 + formula310 + formula311 + formula312 + formula313 + formula314 )","result":6.780506329533401},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"Packaging/Box Making","expression":"variable83 * nested_area","result":20.835},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 5ply","dense_weight_expression":"if( ( width_of_sign > 0 || other_dimension_of_sign > 0 ) && width_of_sign <= 30 && other_dimension_of_sign <= 30, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500379 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 5ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 7Ply","dense_weight_expression":"if( ( width_of_sign > 30 || other_dimension_of_sign > 30 ) && width_of_sign <= 50 && other_dimension_of_sign <= 50, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500419 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 7Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight_expression":"if( ( width_of_sign > 50 || other_dimension_of_sign > 50 ) && width_of_sign <= 60 && other_dimension_of_sign <= 60, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material502106 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ) && width_of_sign <= 70 && other_dimension_of_sign <= 70, nested_area * 2 * weight_material502567 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight_expression":"if( ( width_of_sign > 70 || other_dimension_of_sign > 70 ) && width_of_sign <= 90 && other_dimension_of_sign <= 90, nested_area * 2 * weight_material502564 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight_expression":"if( ( width_of_sign > 90 || other_dimension_of_sign > 90 ), nested_area * weight_material500154 * 2, 0 )","itemDenseWeight":"21.1128"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight":"21.1128","result":0},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Wood Lar 9''x132''","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ), 4 * sqrt(nested_area) * (  ( sign_depth_or_thickness + 2 ) / 12 ) * weight_material502074 , 0 )","itemDenseWeight":"5.2706735812418"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: No formula, default result applied {"data":{"name":"Wood Lar 9''x132''","dense_weight":"5.2706735812418","result":0},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: No formula, default result applied {"data":{"name":"Miscalleneous (10%)","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: No formula, default result applied {"data":{"name":"Where Wastage magnification factor for Sheets consumption is taken as","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"Flush/Stud Mount","expression":"if(mounting_type == mounting_type_flush_stud_mounted, 1, 0 )","result":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Standard Raceway (6x2)","dense_weight_expression":"if(mounting_type == mounting_type_standard_raceway_6x2, (  (  (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_height * 2 ) + ( raceway_height * raceway_depth * 2 ) + (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_depth * 2 )  ) / 144 ) * weight_material501803 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"Standard Raceway (6x2)","expression":"if(mounting_type == mounting_type_standard_raceway_6x2, variable85 * (  ( material501803 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  ) + ( 2.7 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Flat Backer (2.5 mm)","dense_weight_expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) / 144 * weight_material501803 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"Flat Backer (2.5 mm)","expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, variable85 * (  ( material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2.7 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Dense weight computed {"data":{"name":"Backerboard Cabinet (2\")","dense_weight_expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, (  ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  ) + ( 2 * (  ( other_dimension_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  )  ) / 144 * weight_material501803, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula executed successfully {"data":{"name":"Backerboard Cabinet (2\")","expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, variable85 * (  (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * material501803 / 144 ) + (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * 2.7 / 144 )  ), 0 )","result":"0"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Total Cost formula detected {"data":{"item_id":90},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Formula calculations completed {"data":{"total_items":33,"successful_calculations":32,"errors_count":0},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Summed initial totals {"data":{"totalCost_before_formula":164.00441277720043,"totalDenseWeight_before_formula":35.24217611288947},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Total Cost formula executed {"data":{"formula":"totalCost * variable84","computed_totalCost":180.4048540549205},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Total Dense Weight formula executed {"data":{"formula":"totalDenseWeight  * 1.1","computed_totalDenseWeight":38.766393724178414},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Total Cost result added to calculationsResults {"data":{"variable_id":90,"result":180.4048540549205,"dense_weight_expression":38.766393724178414},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Preparing boxes for bin packing {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","objects_count":23,"totalDenseWeight":0},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: Processing flush stud mounted objects for 3D bin packing {"data":{"objects_count":23,"sign_depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-1","width":3.44,"height":7.26,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-2","width":3.44,"height":7.26,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-3","width":7.64,"height":7.26,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-4","width":7.26,"height":7.64,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-5","width":7.26,"height":7.64,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-6","width":7.26,"height":7.64,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-7","width":4.59,"height":9.17,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-8","width":8.41,"height":9.55,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-9","width":4.2,"height":9.55,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-10","width":7.64,"height":9.55,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-11","width":8.03,"height":9.94,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-12","width":3.82,"height":9.94,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-13","width":8.41,"height":9.94,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-14","width":16.05,"height":9.94,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-15","width":51.59,"height":23.69,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-16","width":14.14,"height":13.76,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-17","width":17.58,"height":18.73,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-18","width":4.97,"height":4.97,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-19","width":16.05,"height":14.52,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-20","width":3.82,"height":4.2,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-21","width":31.34,"height":10.32,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-22","width":19.49,"height":19.49,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-23","width":21.4,"height":19.11,"depth":"1"},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:51] local.INFO: 3D Bin Packing API response received {"data":{"response":{"response":{"id":"1769671911_371f4dc5d7fb5c0c602f622c3fe20fee","bins_packed":[{"bin_data":{"w":51.89,"h":23.99,"d":9.1,"id":"unique","used_space":47.7513,"weight":0,"gross_weight":0,"used_weight":100,"stack_height":23.99,"order_id":null},"image_complete":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/6379bdc45f99439bec777854aabf87aa/1769671911-9977-7808491.svg","items":[{"id":"item-14","w":16.35,"h":10.24,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/6379bdc45f99439bec777854aabf87aa/1769671911-996-6097205.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-10","w":7.94,"h":9.85,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/6379bdc45f99439bec777854aabf87aa/1769671911-9962-7171651.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-18","w":5.27,"h":5.27,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/6379bdc45f99439bec777854aabf87aa/1769671911-9963-4587620.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-7","w":4.89,"h":9.47,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/6379bdc45f99439bec777854aabf87aa/1769671911-9963-3917649.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-20","w":4.12,"h":4.5,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/6379bdc45f99439bec777854aabf87aa/1769671911-9964-8632583.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-13","w":8.71,"h":10.24,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/6379bdc45f99439bec777854aabf87aa/1769671911-9965-8549865.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-11","w":8.33,"h":10.24,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/6379bdc45f99439bec777854aabf87aa/1769671911-9965-1948300.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-12","w":4.12,"h":10.24,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/6379bdc45f99439bec777854aabf87aa/1769671911-9966-1126225.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-4","w":7.56,"h":7.94,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/6379bdc45f99439bec777854aabf87aa/1769671911-9967-8543594.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-5","w":7.56,"h":7.94,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/6379bdc45f99439bec777854aabf87aa/1769671911-9967-2477837.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-6","w":7.56,"h":7.94,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/6379bdc45f99439bec777854aabf87aa/1769671911-9968-7399004.svg","coordinates":{"x1":"Over 9 levels deep, 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normalization"}},{"id":"item-19","w":16.35,"h":14.82,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/6379bdc45f99439bec777854aabf87aa/1769671911-9969-3068681.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-8","w":8.71,"h":9.85,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/6379bdc45f99439bec777854aabf87aa/1769671911-997-5603752.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting 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normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-17","w":17.88,"h":19.03,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/6379bdc45f99439bec777854aabf87aa/1769671911-9974-5715518.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-23","w":21.7,"h":19.41,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/6379bdc45f99439bec777854aabf87aa/1769671911-9975-7235413.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting 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[2026-01-29 07:31:51] local.INFO: Box added from packed bin {"data":{"length":9.1,"width":51.89,"height":23.99,"denseWeight":0},"timestamp":"2026-01-29 07:31:51"} 
[2026-01-29 07:31:52] local.INFO: Shipping rates calculated {"data":{"boxes":[{"size":{"length":11.1,"width":53.89,"height":26.24},"quantity":1,"denseWeight":1}],"cheapestShippingCost":527.94927375,"rawShippingRates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":82.4,"rate":652.405,"tariffAndDS":734.805,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":1172.1794054999998,"totalShipmentCostFormula":"((tariffAndDS (734.805) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 1172.18","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":82.4,"rate":370.20000000000005,"tariffAndDS":452.6,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":747.4326599999999,"totalShipmentCostFormula":"((tariffAndDS (452.6) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 747.43","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":51.5,"rate":484.935,"tariffAndDS":536.435,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":824.5005949999999,"totalShipmentCostFormula":"(( tariffAndDS (536.435) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 824.500595","warnings":[]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":82.4,"rate":"479.70","tariffAndDS":562.1,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":606.1,"totalShipmentCostFormula":"(((tariffAndDS (562.1) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 606.1","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":0,"rate":338.93,"tariffAndDS":338.93,"fuelSurcharge":"0.3025","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":527.94927375,"totalShipmentCostFormula":"(((tariffAndDS (338.93) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3025)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 527.94927375","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":0,"rate":965,"tariffAndDS":965,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":965,"totalShipmentCostFormula":"((tariffAndDS (965) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 965"}]}},"timestamp":"2026-01-29 07:31:52"} 
[2026-01-29 07:31:52] local.INFO: Product cost factor determined {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","productCostFactor":1.66},"timestamp":"2026-01-29 07:31:52"} 
[2026-01-29 07:31:52] local.INFO: Final API Response {"data":{"sign_width":"120","sign_height":"49.6","sign_depth":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","processed_sign_type":"Fabricated Channel Letters - Non Illuminated","sideViewImage":"https://api.signize.ai/mockups/flush-stud/flush-stud-fabricated-channel-letters-non-illuminated.png","mounting_type":"Flush/Stud 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1172.18","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":82.4,"rate":370.20000000000005,"tariffAndDS":452.6,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":747.4326599999999,"totalShipmentCostFormula":"((tariffAndDS (452.6) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 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kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":82.4,"rate":"479.70","tariffAndDS":562.1,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":606.1,"totalShipmentCostFormula":"(((tariffAndDS (562.1) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 606.1","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":0,"rate":338.93,"tariffAndDS":338.93,"fuelSurcharge":"0.3025","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":527.94927375,"totalShipmentCostFormula":"(((tariffAndDS (338.93) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3025)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 527.94927375","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":0,"rate":965,"tariffAndDS":965,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":965,"totalShipmentCostFormula":"((tariffAndDS (965) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 965"}]},"cheapest_shipping_cost_usd":530.0,"totalCost":830.0,"productionResults":[{"material_id":298,"dense_weight_expression":0,"result":"0","sign_material":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","description":null,"sequence_no":1},{"material_id":299,"dense_weight_expression":5.82474,"result":"80.3630952","sign_material":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","description":"Aluminium sheet 0.079\" – Lightweight yet rigid, ideal for medium-sized channel letter faces.","sequence_no":2},{"material_id":300,"dense_weight_expression":3.00006,"result":"21.1232796","sign_material":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","description":"Aluminium sheet 0.059\" – Flexible and easy to bend, ideal for channel letter returns.","sequence_no":3},{"material_id":301,"dense_weight_expression":0,"result":"0","sign_material":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","description":null,"sequence_no":4},{"material_id":302,"dense_weight_expression":0,"result":"0","sign_material":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","description":null,"sequence_no":5},{"material_id":303,"dense_weight_expression":0,"result":0,"sign_material":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","description":null,"sequence_no":6},{"material_id":304,"dense_weight_expression":0.006467240956,"result":6.4672409559999995,"sign_material":"Epoxy Primer Pakistan","description":null,"sequence_no":7},{"material_id":305,"dense_weight_expression":0.0005136493916666667,"result":0.5136493916666667,"sign_material":"Master Thinner Pakistan","description":null,"sequence_no":8},{"material_id":306,"dense_weight_expression":0.004899424966666667,"result":4.899424966666667,"sign_material":"Epoxy Hardner Master Pakistan","description":null,"sequence_no":9},{"material_id":307,"dense_weight_expression":0,"result":"0","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":10},{"material_id":308,"dense_weight_expression":0,"result":"0","sign_material":"Matting Agent (P565-554) 1L Nexa Pakistan","description":null,"sequence_no":11},{"material_id":309,"dense_weight_expression":0,"result":"0","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":12},{"material_id":310,"dense_weight_expression":0,"result":"0","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":13},{"material_id":311,"dense_weight_expression":0.010069507066667,"result":"10.069507066667","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":14},{"material_id":312,"dense_weight_expression":0.0048870514,"result":"4.8870514","sign_material":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","description":"High Quality Gloss / Satin Paint – PU or solvent-based, gloss (70+ GU) or satin (30–50 GU) sheen.","sequence_no":15},{"material_id":313,"dense_weight_expression":0.006543548,"result":"6.543548","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":16},{"material_id":314,"dense_weight_expression":0.00052210986666667,"result":"0.52210986666667","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":17},{"variable_id":82,"dense_weight_expression":0,"result":6.780506329533401,"sign_material":"Paint Miscellaneous cost","description":null,"sequence_no":18},{"variable_id":83,"dense_weight_expression":0,"result":20.835,"sign_material":"Packaging/Box Making","description":"Custom Packaging with 3–5 ply corrugated boxes with inner foam/styro and stretch wrap.","sequence_no":19},{"material_id":526,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 5ply","description":null,"sequence_no":20},{"material_id":527,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 7Ply","description":null,"sequence_no":21},{"material_id":528,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 9 Ply","description":null,"sequence_no":22},{"material_id":529,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 5mm 3 Core 4*8","description":null,"sequence_no":23},{"material_id":530,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 7mm 4 Core","description":null,"sequence_no":24},{"material_id":531,"dense_weight_expression":21.1128,"result":0,"sign_material":"Plywood Sheet 8*4 Mersawa 6 core 9MM","description":null,"sequence_no":25},{"material_id":532,"dense_weight_expression":5.2706735812418,"result":0,"sign_material":"Wood Lar 9''x132''","description":null,"sequence_no":26},{"variable_id":84,"dense_weight_expression":0,"result":0,"sign_material":"Miscalleneous (10%)","description":null,"sequence_no":27},{"variable_id":85,"dense_weight_expression":0,"result":0,"sign_material":"Where Wastage magnification factor for Sheets consumption is taken as","description":null,"sequence_no":28},{"variable_id":86,"dense_weight_expression":0,"result":"1","sign_material":"Flush/Stud Mount","description":"Sign to be Flush/Stud Mounted to the wall.","sequence_no":29},{"variable_id":87,"dense_weight_expression":0,"result":"0","sign_material":"Standard Raceway (6x2)","description":null,"sequence_no":30},{"variable_id":88,"dense_weight_expression":0,"result":"0","sign_material":"Flat Backer (2.5 mm)","description":null,"sequence_no":31},{"variable_id":89,"dense_weight_expression":0,"result":"0","sign_material":"Backerboard Cabinet (2\")","description":null,"sequence_no":32},{"variable_id":90,"dense_weight_expression":38.766393724178414,"result":180.4048540549205,"sign_material":"Total Cost","description":null,"sequence_no":33}],"productionError":[],"request":{"sign_width_or_height":"120","sign_depth_or_thickness":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"49.6","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"23","perimeter_of_sign":"95.24","nested_area":"27.78","occupied_area":"11.58","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"49.6","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null},"TATDays":21,"testDenseWeight":38.766393724178414},"timestamp":"2026-01-29 07:31:52"} 
[2026-01-29 07:31:52] local.INFO: API Epic Craftings Calculation Ended ======================================================================================================== {"data":null,"timestamp":"2026-01-29 07:31:52"} 
[2026-01-29 07:31:53] local.INFO: API B2 Sign Calculation Started ======================================================================================================== {"data":null,"timestamp":"2026-01-29 07:31:53"} 
[2026-01-29 07:31:53] local.INFO: Incoming Request {"data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":49.6,"sign_width":"120","dimensions":[{"id":"a7cd7607-b2bb-4892-9875-b687688bca56","height":7.26,"width":3.44},{"id":"a3a04c78-0d8e-4254-aca8-7797707243c5","height":7.26,"width":3.44},{"id":"ef6f6c67-d25a-4570-8f65-7d7ea2bee7c4","height":7.26,"width":7.64},{"id":"9ada1f02-c28a-4030-b7bc-e7eee9afeba6","height":7.64,"width":7.26},{"id":"b57d31f4-7b0c-4fe4-b199-8c6067e79724","height":7.64,"width":7.26},{"id":"e720ce65-6919-4276-9497-125b49a9f43a","height":7.64,"width":7.26},{"id":"56b517b1-fbba-4b87-8836-86e8cea54090","height":9.17,"width":4.59},{"id":"f7b7e7b9-5e56-458e-a7f7-e534bbfa78c2","height":9.55,"width":8.41},{"id":"cdc5f089-98b0-4e77-bae0-14d191849a17","height":9.55,"width":4.2},{"id":"eda86f1c-047e-49b4-a729-e298085f09e8","height":9.55,"width":7.64},{"id":"483db56c-ab7f-44a1-b0cc-dd62b138a77d","height":9.94,"width":8.03},{"id":"957b1f69-5f00-489a-b4fe-2e95e32b4651","height":9.94,"width":3.82},{"id":"16065d90-12e4-4465-81c9-425e83d7ba45","height":9.94,"width":8.41},{"id":"c9ef1cb2-f9ba-422e-9df5-88a212e28a75","height":9.94,"width":16.05},{"id":"ba754956-9412-40e6-9d18-cf59e80e10a0","height":23.69,"width":51.59},{"id":"4ee295fd-d40c-4271-9989-58e525cd9193","height":13.76,"width":14.14},{"id":"c91e90e6-04d2-4c09-a40d-44c7eec79b4f","height":18.73,"width":17.58},{"id":"eb9f18fb-fd7f-4006-a855-4baa2d64a1cb","height":4.97,"width":4.97},{"id":"66748dfa-b27a-41cf-9a6c-b371cd71dc4c","height":14.52,"width":16.05},{"id":"6d92aced-d0c7-43c6-b60a-78a4bdef549a","height":4.2,"width":3.82},{"id":"e70e224f-6bdf-48c4-b353-2ccf28a63a04","height":10.32,"width":31.34},{"id":"a7523af6-7609-445e-8f6a-af1488d09f1d","height":19.49,"width":19.49},{"id":"26f0b405-70d3-4ac6-860d-a14baf51f4d4","height":19.11,"width":21.4}]},"timestamp":"2026-01-29 07:31:53"} 
[2026-01-29 07:31:53] local.INFO: Validating Request Payload {"data":[],"timestamp":"2026-01-29 07:31:53"} 
[2026-01-29 07:31:53] local.INFO: Request Validation Successful {"data":{"validated_data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":49.6,"sign_width":"120","dimensions":[{"id":"a7cd7607-b2bb-4892-9875-b687688bca56","height":7.26,"width":3.44},{"id":"a3a04c78-0d8e-4254-aca8-7797707243c5","height":7.26,"width":3.44},{"id":"ef6f6c67-d25a-4570-8f65-7d7ea2bee7c4","height":7.26,"width":7.64},{"id":"9ada1f02-c28a-4030-b7bc-e7eee9afeba6","height":7.64,"width":7.26},{"id":"b57d31f4-7b0c-4fe4-b199-8c6067e79724","height":7.64,"width":7.26},{"id":"e720ce65-6919-4276-9497-125b49a9f43a","height":7.64,"width":7.26},{"id":"56b517b1-fbba-4b87-8836-86e8cea54090","height":9.17,"width":4.59},{"id":"f7b7e7b9-5e56-458e-a7f7-e534bbfa78c2","height":9.55,"width":8.41},{"id":"cdc5f089-98b0-4e77-bae0-14d191849a17","height":9.55,"width":4.2},{"id":"eda86f1c-047e-49b4-a729-e298085f09e8","height":9.55,"width":7.64},{"id":"483db56c-ab7f-44a1-b0cc-dd62b138a77d","height":9.94,"width":8.03},{"id":"957b1f69-5f00-489a-b4fe-2e95e32b4651","height":9.94,"width":3.82},{"id":"16065d90-12e4-4465-81c9-425e83d7ba45","height":9.94,"width":8.41},{"id":"c9ef1cb2-f9ba-422e-9df5-88a212e28a75","height":9.94,"width":16.05},{"id":"ba754956-9412-40e6-9d18-cf59e80e10a0","height":23.69,"width":51.59},{"id":"4ee295fd-d40c-4271-9989-58e525cd9193","height":13.76,"width":14.14},{"id":"c91e90e6-04d2-4c09-a40d-44c7eec79b4f","height":18.73,"width":17.58},{"id":"eb9f18fb-fd7f-4006-a855-4baa2d64a1cb","height":4.97,"width":4.97},{"id":"66748dfa-b27a-41cf-9a6c-b371cd71dc4c","height":14.52,"width":16.05},{"id":"6d92aced-d0c7-43c6-b60a-78a4bdef549a","height":4.2,"width":3.82},{"id":"e70e224f-6bdf-48c4-b353-2ccf28a63a04","height":10.32,"width":31.34},{"id":"a7523af6-7609-445e-8f6a-af1488d09f1d","height":19.49,"width":19.49},{"id":"26f0b405-70d3-4ac6-860d-a14baf51f4d4","height":19.11,"width":21.4}]}},"timestamp":"2026-01-29 07:31:53"} 
[2026-01-29 07:31:53] local.INFO: Fetching Sign Type {"data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated"},"timestamp":"2026-01-29 07:31:53"} 
[2026-01-29 07:31:53] local.INFO: Sign Type Query Result {"data":{"found":true,"sign_type_id":14},"timestamp":"2026-01-29 07:31:53"} 
[2026-01-29 07:31:53] local.INFO: Checking B2 Module for Sign Type {"data":{"sign_type_id":14},"timestamp":"2026-01-29 07:31:53"} 
[2026-01-29 07:31:53] local.INFO: Sign Type B2 Module Result {"data":{"has_b2_module":false},"timestamp":"2026-01-29 07:31:53"} 
[2026-01-29 07:31:53] local.ERROR: Sign Type Without B2 Module Attempt {"data":{"sign_type_id":14},"timestamp":"2026-01-29 07:31:53"} 
[2026-01-29 07:31:54] local.INFO: USA Workshop Calculation API Started {"data":{"request":{"sign_type":"Fabricated Channel Letters - Non Illuminated","sign_depth":1,"mounting_type":"Flush/Stud mounted","sign_height":49.6,"sign_width":"120","shipping_weight":51.5,"shape":"rectangular","dimensions":[{"id":"a7cd7607-b2bb-4892-9875-b687688bca56","height":7.26,"width":3.44},{"id":"a3a04c78-0d8e-4254-aca8-7797707243c5","height":7.26,"width":3.44},{"id":"ef6f6c67-d25a-4570-8f65-7d7ea2bee7c4","height":7.26,"width":7.64},{"id":"9ada1f02-c28a-4030-b7bc-e7eee9afeba6","height":7.64,"width":7.26},{"id":"b57d31f4-7b0c-4fe4-b199-8c6067e79724","height":7.64,"width":7.26},{"id":"e720ce65-6919-4276-9497-125b49a9f43a","height":7.64,"width":7.26},{"id":"56b517b1-fbba-4b87-8836-86e8cea54090","height":9.17,"width":4.59},{"id":"f7b7e7b9-5e56-458e-a7f7-e534bbfa78c2","height":9.55,"width":8.41},{"id":"cdc5f089-98b0-4e77-bae0-14d191849a17","height":9.55,"width":4.2},{"id":"eda86f1c-047e-49b4-a729-e298085f09e8","height":9.55,"width":7.64},{"id":"483db56c-ab7f-44a1-b0cc-dd62b138a77d","height":9.94,"width":8.03},{"id":"957b1f69-5f00-489a-b4fe-2e95e32b4651","height":9.94,"width":3.82},{"id":"16065d90-12e4-4465-81c9-425e83d7ba45","height":9.94,"width":8.41},{"id":"c9ef1cb2-f9ba-422e-9df5-88a212e28a75","height":9.94,"width":16.05},{"id":"ba754956-9412-40e6-9d18-cf59e80e10a0","height":23.69,"width":51.59},{"id":"4ee295fd-d40c-4271-9989-58e525cd9193","height":13.76,"width":14.14},{"id":"c91e90e6-04d2-4c09-a40d-44c7eec79b4f","height":18.73,"width":17.58},{"id":"eb9f18fb-fd7f-4006-a855-4baa2d64a1cb","height":4.97,"width":4.97},{"id":"66748dfa-b27a-41cf-9a6c-b371cd71dc4c","height":14.52,"width":16.05},{"id":"6d92aced-d0c7-43c6-b60a-78a4bdef549a","height":4.2,"width":3.82},{"id":"e70e224f-6bdf-48c4-b353-2ccf28a63a04","height":10.32,"width":31.34},{"id":"a7523af6-7609-445e-8f6a-af1488d09f1d","height":19.49,"width":19.49},{"id":"26f0b405-70d3-4ac6-860d-a14baf51f4d4","height":19.11,"width":21.4}]}},"timestamp":"2026-01-29 07:31:54"} 
[2026-01-29 07:31:54] local.INFO: Validation Passed {"data":[],"timestamp":"2026-01-29 07:31:54"} 
[2026-01-29 07:31:54] local.INFO: Input Parameters {"data":{"dimensions_count":23,"shape":"rectangular"},"timestamp":"2026-01-29 07:31:54"} 
[2026-01-29 07:31:54] local.INFO: Resolved Default Data {"data":{"sign_type_map":{"sign_type_halo_lit_letters":"Halo Lit Channel Letters","sign_type_face_lit_letters":"Premium Face-Lit Letters (Metallic Trim)","sign_type_face_and_halo_lit_letters":"Face & Halo Lit Channel Letters","sign_type_single_sided_lightbox":"Fabricated Lightbox - Single Sided","sign_type_double_sided_lightbox":"Fabricated Blade Sign -  Illuminated/Double Sided","sign_type_flat_cut_acrylic_letters":"Flat Cut Acrylic Letters","sign_type_flat_cut_aluminum_letters":"Flat Cut Aluminum Letters","sign_type_single_sided_push_through":"Fabricated Push Through - Single Sided","sign_type_fabricated_letters_non_lit":"Fabricated Channel Letters - Non Illuminated","sign_type_2d_blade_sign":"Flat Blade Sign","sign_type_3d_blade_sign":"Fabricated Blade Sign - Non Illuminated / Double Sided","sign_type_neon_sign":"Neon Sign","sign_type_marquee_channel_letters":"Marquee Channel Letters","sign_type_open_face_neon_channel_letters":"Open Face Neon Channel Letters","sign_type_mirror_infinity_channel_letters":"Mirror Infinity Channel Letters","sign_type_metal_on_acrylic":"Flat Cut Acrylic with Metal Pasting","sign_type_neon_acrylic_sign":"Neon Acrylic Sign","sign_type_double_sided_push_through_cabinet":"Double Sided Push Through Cabinet","sign_type_standard_face_lit_plastic_trim_letters":"Standard Face Lit Letters (Plastic Trim)","mounting_type_flush_stud_mounted":"Flush/Stud mounted","mounting_type_standard_raceway_6x2":"Standard Raceway","mounting_type_flat_backer_2_5_mm":"Flat Backer","mounting_type_backerboard_cabinet_2_inch":"Backerboard Cabinet","avg_char_height_less_than_24_inches":"Less than 24 inches","avg_char_height_greater_than_24_inches":"Greater than 24 inches","raceway_height_6":"6","raceway_height_8":"8","raceway_height_10":"10","raceway_height_12":"12","raceway_depth_2":"2","raceway_depth_3":"3","raceway_depth_4":"4","raceway_depth_5":"5","raceway_depth_6":"6","raceway_depth_7":"7","raceway_depth_8":"8","backboard_cabinet_depth_2":"2","backboard_cabinet_depth_3":"3","backboard_cabinet_depth_4":"4","backboard_cabinet_depth_5":"5","backboard_cabinet_depth_6":"6","backboard_cabinet_depth_7":"7","backboard_cabinet_depth_8":"8","material_aluminium":"Aluminium","material_stainless_steel":"Stainless Steel","application_exterior":"Exterior","application_interior":"Interior","ul_mandatory_yes":"Yes","ul_mandatory_no":"No","paint_finish_gloss_satin":"Gloss/Satin","paint_finish_matte":"Matte","neon_color_simple":"Simple","neon_color_rgb":"RGB","uv_printing_needed_yes":"Yes","uv_printing_needed_no":"No","trim_type_trimless":"Trimless","trim_type_with_trim":"With Trim","fabricated_finish_original_colors_matt":"Original Colors Matt","fabricated_finish_original_colors_gloss":"Original Colors Gloss","fabricated_finish_silver_mirror":"Silver Mirror","fabricated_finish_silver_brushed":"Silver Brushed","fabricated_finish_golden_mirror":"Golden Mirror","fabricated_finish_golden_brushed":"Golden Brushed","fabricated_finish_bronze_mirror":"Bronze Mirror","fabricated_finish_bronze_brushed":"Bronze Brushed","fabricated_finish_bronze_antique":"Bronze Antique","lightbox_type_light_box":"Lightbox","lightbox_type_cut_to_shape":"Cut to shape Lightbox","return_color_black":"Black","return_color_white":"White","return_color_blue":"Blue","return_color_brown":"Brown","return_color_yellow":"Yellow","return_color_teal":"Teal","return_color_orange":"Orange","return_color_golden_brushed":"Gold Brushed","return_color_match_logo":"Match Logo (Default)","shape_rectangular":"Rectangular","shape_cut_to_shape":"Cut to shape","shape_round":"Round"}},"timestamp":"2026-01-29 07:31:54"} 
[2026-01-29 07:31:54] local.INFO: Sign Type Lookup {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","found":true,"sign_type_id":14},"timestamp":"2026-01-29 07:31:54"} 
[2026-01-29 07:31:54] local.INFO: USA Workshop Module Check {"data":{"sign_type_id":14,"has_module":true},"timestamp":"2026-01-29 07:31:54"} 
[2026-01-29 07:31:54] local.INFO: Initial Price Lookup {"data":{"shape":"rectangular","price_found":true},"timestamp":"2026-01-29 07:31:54"} 
[2026-01-29 07:31:54] local.INFO: USA Workshop Price Found {"data":{"base":"object","price_per_inch":5.0},"timestamp":"2026-01-29 07:31:54"} 
[2026-01-29 07:31:54] local.INFO: Calculating Production Cost (Object Base) {"data":[],"timestamp":"2026-01-29 07:31:54"} 
[2026-01-29 07:31:54] local.INFO: USA Workshop Calculation Completed {"data":{"production_cost":1255.35,"dimensions_count":23},"timestamp":"2026-01-29 07:31:54"} 
[2026-01-29 07:32:39] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_depth":"5","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flush/Stud 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than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"49.6"}},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: API Input Data Collected {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","sign_depth_or_thickness":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"49.6","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"23","perimeter_of_sign":"95.24","nested_area":"27.78","occupied_area":"11.58","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"49.6","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null}},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Looking up SignType {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Retrieved Material Formulas {"data":{"sign_type_id":14,"formulas_count":24},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Retrieved Variables List {"data":{"sign_type_id":14,"variables_count":9},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Price Map Constructed {"data":{"price_map":{"material501803":3.6821,"weight_material501803":0.629,"material501880":2.4107,"weight_material501880":0.503,"material501060":2.2179,"weight_material501060":0.378,"material500730":2.7786,"weight_material500730":1.481,"material500591":0.9286,"weight_material500591":0.357,"material500611":0.0062,"weight_material500611":6.2e-6,"material500214":0.0025,"weight_material500214":2.5e-6,"material501055":0.0155,"weight_material501055":1.55e-5,"material502098":0.0286,"weight_material502098":2.86e-5,"material502079":0.0163,"weight_material502079":1.63e-5,"material502350":0.0254,"weight_material502350":2.54e-5,"material501680":0.0076,"weight_material501680":7.6e-6,"material502131":0.0271,"weight_material502131":2.71e-5,"material500379":0.132,"weight_material500379":0.09,"material500419":0.16,"weight_material500419":0.11,"material502106":0.13,"weight_material502106":0.16,"material502567":0.13,"weight_material502567":0.21,"material502564":0.18,"weight_material502564":0.35,"material500154":0.4,"weight_material500154":0.38,"material502074":0.8,"weight_material502074":1.0}},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Variables Price Constructed {"data":{"variables_price":{"variable82":0,"variable83":0.75,"variable84":1.1,"variable85":1.2,"variable86":0,"variable87":0,"variable88":0,"variable89":0,"variable90":0}},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Final Variables Merged {"data":{"variables_count":161},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Initialized items collection {"data":{"count":0},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Merged material items {"data":{"formulas_count":24,"items_count_after_merge":24},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Merged variable items {"data":{"variables_count":9,"items_count_after_merge":33},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Sorted items collection {"data":{"items_count":33,"first_item":{"type":"material","id":298,"expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, variable85 * nested_area * material501803, 0 )","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","var_name":"material501803","price":"3.6821","description":"Aluminium sheet 0.098\" – Durable, corrosion-resistant, suitable for both indoor and outdoor channel letter faces.","sequence_no":1},"last_item":{"type":"variable","id":90,"expression":"totalCost * variable84","dense_weight_expression":"totalDenseWeight  * 1.1","name":"Total Cost","var_name":"variable90","price":null,"description":null,"sequence_no":33}},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Initializing MathExecutor {"data":{"variables_count":161},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: MathExecutor variables set {"data":{"variables_count":161},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, variable85 * nested_area * material501803, 0 )","result":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches, weight_material501880 * occupied_area, 0 )","itemDenseWeight":"5.82474"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches, variable85 * nested_area * material501880, 0 )","result":"80.3630952"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, 0, weight_material501060 * ( sign_depth_or_thickness / 12 * perimeter_of_sign )  )","itemDenseWeight":"3.00006"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, 0, material501060 * variable85 * ( sign_depth_or_thickness / 12 * perimeter_of_sign )  )","result":"21.1232796"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, occupied_area * weight_material500730 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, variable85 * nested_area * material500730, 0 )","result":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * weight_material500591 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, variable85 * ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * material500591, 0 )","result":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: No formula, default result applied {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Epoxy Primer Pakistan","dense_weight_expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * weight_material500611","itemDenseWeight":0.006467240956},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Primer Pakistan","expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * material500611","result":6.4672409559999995},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Master Thinner Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * weight_material500214","itemDenseWeight":0.0005136493916666667},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"Master Thinner Pakistan","expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * material500214","result":0.5136493916666667},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Epoxy Hardner Master Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * weight_material501055","itemDenseWeight":0.004899424966666667},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Hardner Master Pakistan","expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * material501055","result":4.899424966666667},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * weight_material502098 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * material502098, 0 )","result":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * weight_material502079 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * material502079, 0 )","result":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502350 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502350, 0 )","result":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * weight_material501680 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * material501680, 0 )","result":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * weight_material502098 )","itemDenseWeight":"0.010069507066667"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * material502098 )","result":"10.069507066667"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502131 )","itemDenseWeight":"0.0048870514"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502131 )","result":"4.8870514"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * weight_material502350 )","itemDenseWeight":"0.006543548"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * material502350)","result":"6.543548"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * weight_material501680 )","itemDenseWeight":"0.00052210986666667"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * material501680 )","result":"0.52210986666667"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"Paint Miscellaneous cost","expression":"0.2 * ( formula304 + formula305 + formula306 + formula307 + formula308 + formula309 + formula310 + formula311 + formula312 + formula313 + formula314 )","result":6.780506329533401},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"Packaging/Box Making","expression":"variable83 * nested_area","result":20.835},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 5ply","dense_weight_expression":"if( ( width_of_sign > 0 || other_dimension_of_sign > 0 ) && width_of_sign <= 30 && other_dimension_of_sign <= 30, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500379 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 5ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 7Ply","dense_weight_expression":"if( ( width_of_sign > 30 || other_dimension_of_sign > 30 ) && width_of_sign <= 50 && other_dimension_of_sign <= 50, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500419 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 7Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight_expression":"if( ( width_of_sign > 50 || other_dimension_of_sign > 50 ) && width_of_sign <= 60 && other_dimension_of_sign <= 60, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material502106 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ) && width_of_sign <= 70 && other_dimension_of_sign <= 70, nested_area * 2 * weight_material502567 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight_expression":"if( ( width_of_sign > 70 || other_dimension_of_sign > 70 ) && width_of_sign <= 90 && other_dimension_of_sign <= 90, nested_area * 2 * weight_material502564 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight_expression":"if( ( width_of_sign > 90 || other_dimension_of_sign > 90 ), nested_area * weight_material500154 * 2, 0 )","itemDenseWeight":"21.1128"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight":"21.1128","result":0},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Wood Lar 9''x132''","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ), 4 * sqrt(nested_area) * (  ( sign_depth_or_thickness + 2 ) / 12 ) * weight_material502074 , 0 )","itemDenseWeight":"5.2706735812418"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: No formula, default result applied {"data":{"name":"Wood Lar 9''x132''","dense_weight":"5.2706735812418","result":0},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: No formula, default result applied {"data":{"name":"Miscalleneous (10%)","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: No formula, default result applied {"data":{"name":"Where Wastage magnification factor for Sheets consumption is taken as","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"Flush/Stud Mount","expression":"if(mounting_type == mounting_type_flush_stud_mounted, 1, 0 )","result":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Standard Raceway (6x2)","dense_weight_expression":"if(mounting_type == mounting_type_standard_raceway_6x2, (  (  (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_height * 2 ) + ( raceway_height * raceway_depth * 2 ) + (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_depth * 2 )  ) / 144 ) * weight_material501803 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"Standard Raceway (6x2)","expression":"if(mounting_type == mounting_type_standard_raceway_6x2, variable85 * (  ( material501803 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  ) + ( 2.7 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Flat Backer (2.5 mm)","dense_weight_expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) / 144 * weight_material501803 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"Flat Backer (2.5 mm)","expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, variable85 * (  ( material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2.7 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Dense weight computed {"data":{"name":"Backerboard Cabinet (2\")","dense_weight_expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, (  ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  ) + ( 2 * (  ( other_dimension_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  )  ) / 144 * weight_material501803, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula executed successfully {"data":{"name":"Backerboard Cabinet (2\")","expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, variable85 * (  (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * material501803 / 144 ) + (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * 2.7 / 144 )  ), 0 )","result":"0"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Total Cost formula detected {"data":{"item_id":90},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Formula calculations completed {"data":{"total_items":33,"successful_calculations":32,"errors_count":0},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Summed initial totals {"data":{"totalCost_before_formula":164.00441277720043,"totalDenseWeight_before_formula":35.24217611288947},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Total Cost formula executed {"data":{"formula":"totalCost * variable84","computed_totalCost":180.4048540549205},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Total Dense Weight formula executed {"data":{"formula":"totalDenseWeight  * 1.1","computed_totalDenseWeight":38.766393724178414},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Total Cost result added to calculationsResults {"data":{"variable_id":90,"result":180.4048540549205,"dense_weight_expression":38.766393724178414},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Preparing boxes for bin packing {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","objects_count":23,"totalDenseWeight":0},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: Processing flush stud mounted objects for 3D bin packing {"data":{"objects_count":23,"sign_depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-1","width":3.44,"height":7.26,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-2","width":3.44,"height":7.26,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-3","width":7.64,"height":7.26,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-4","width":7.26,"height":7.64,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-5","width":7.26,"height":7.64,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-6","width":7.26,"height":7.64,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-7","width":4.59,"height":9.17,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-8","width":8.41,"height":9.55,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-9","width":4.2,"height":9.55,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-10","width":7.64,"height":9.55,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-11","width":8.03,"height":9.94,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-12","width":3.82,"height":9.94,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-13","width":8.41,"height":9.94,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-14","width":16.05,"height":9.94,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-15","width":51.59,"height":23.69,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-16","width":14.14,"height":13.76,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-17","width":17.58,"height":18.73,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-18","width":4.97,"height":4.97,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-19","width":16.05,"height":14.52,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-20","width":3.82,"height":4.2,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-21","width":31.34,"height":10.32,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-22","width":19.49,"height":19.49,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-23","width":21.4,"height":19.11,"depth":"1"},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:39] local.INFO: 3D Bin Packing API response received {"data":{"response":{"response":{"id":"1769671959_63b509e8687e2a13e6d096463a0feb57","bins_packed":[{"bin_data":{"w":51.89,"h":23.99,"d":9.1,"id":"unique","used_space":47.7513,"weight":0,"gross_weight":0,"used_weight":100,"stack_height":23.99,"order_id":null},"image_complete":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f742e54afb9f866b46da153c506860c8/1769671959-7394-6272071.svg","items":[{"id":"item-14","w":16.35,"h":10.24,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f742e54afb9f866b46da153c506860c8/1769671959-7378-6077252.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-10","w":7.94,"h":9.85,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f742e54afb9f866b46da153c506860c8/1769671959-7379-8914076.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-18","w":5.27,"h":5.27,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f742e54afb9f866b46da153c506860c8/1769671959-738-9685914.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-7","w":4.89,"h":9.47,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f742e54afb9f866b46da153c506860c8/1769671959-7381-2191555.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-20","w":4.12,"h":4.5,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f742e54afb9f866b46da153c506860c8/1769671959-7381-7578533.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-13","w":8.71,"h":10.24,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f742e54afb9f866b46da153c506860c8/1769671959-7382-2980056.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-11","w":8.33,"h":10.24,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f742e54afb9f866b46da153c506860c8/1769671959-7383-1277383.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-12","w":4.12,"h":10.24,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f742e54afb9f866b46da153c506860c8/1769671959-7383-8469507.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-4","w":7.56,"h":7.94,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f742e54afb9f866b46da153c506860c8/1769671959-7384-6353632.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-5","w":7.56,"h":7.94,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f742e54afb9f866b46da153c506860c8/1769671959-7384-9271904.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-6","w":7.56,"h":7.94,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f742e54afb9f866b46da153c506860c8/1769671959-7385-7948365.svg","coordinates":{"x1":"Over 9 levels 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normalization"}},{"id":"item-19","w":16.35,"h":14.82,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f742e54afb9f866b46da153c506860c8/1769671959-7386-5992502.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-8","w":8.71,"h":9.85,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/f742e54afb9f866b46da153c506860c8/1769671959-7387-3881814.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting 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[2026-01-29 07:32:39] local.INFO: Box added from packed bin {"data":{"length":9.1,"width":51.89,"height":23.99,"denseWeight":0},"timestamp":"2026-01-29 07:32:39"} 
[2026-01-29 07:32:40] local.INFO: Shipping rates calculated {"data":{"boxes":[{"size":{"length":11.1,"width":53.89,"height":26.24},"quantity":1,"denseWeight":1}],"cheapestShippingCost":527.94927375,"rawShippingRates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":82.4,"rate":652.405,"tariffAndDS":734.805,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":1172.1794054999998,"totalShipmentCostFormula":"((tariffAndDS (734.805) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 1172.18","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":82.4,"rate":370.20000000000005,"tariffAndDS":452.6,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":747.4326599999999,"totalShipmentCostFormula":"((tariffAndDS (452.6) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 747.43","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":51.5,"rate":484.935,"tariffAndDS":536.435,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":824.5005949999999,"totalShipmentCostFormula":"(( tariffAndDS (536.435) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 824.500595","warnings":[]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":82.4,"rate":"479.70","tariffAndDS":562.1,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":606.1,"totalShipmentCostFormula":"(((tariffAndDS (562.1) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 606.1","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":0,"rate":338.93,"tariffAndDS":338.93,"fuelSurcharge":"0.3025","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":527.94927375,"totalShipmentCostFormula":"(((tariffAndDS (338.93) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3025)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 527.94927375","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":0,"rate":965,"tariffAndDS":965,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":965,"totalShipmentCostFormula":"((tariffAndDS (965) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 965"}]}},"timestamp":"2026-01-29 07:32:40"} 
[2026-01-29 07:32:40] local.INFO: Product cost factor determined {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","productCostFactor":1.66},"timestamp":"2026-01-29 07:32:40"} 
[2026-01-29 07:32:40] local.INFO: Final API Response {"data":{"sign_width":"120","sign_height":"49.6","sign_depth":"5","sign_type":"Fabricated Channel Letters - Non Illuminated","processed_sign_type":"Fabricated Channel Letters - Non Illuminated","sideViewImage":"https://api.signize.ai/mockups/flush-stud/flush-stud-fabricated-channel-letters-non-illuminated.png","mounting_type":"Flush/Stud 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kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":82.4,"rate":"479.70","tariffAndDS":562.1,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":606.1,"totalShipmentCostFormula":"(((tariffAndDS (562.1) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 606.1","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":0,"rate":338.93,"tariffAndDS":338.93,"fuelSurcharge":"0.3025","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":527.94927375,"totalShipmentCostFormula":"(((tariffAndDS (338.93) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3025)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 527.94927375","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":0,"rate":965,"tariffAndDS":965,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":965,"totalShipmentCostFormula":"((tariffAndDS (965) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 965"}]},"cheapest_shipping_cost_usd":530.0,"totalCost":830.0,"productionResults":[{"material_id":298,"dense_weight_expression":0,"result":"0","sign_material":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","description":null,"sequence_no":1},{"material_id":299,"dense_weight_expression":5.82474,"result":"80.3630952","sign_material":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","description":"Aluminium sheet 0.079\" – Lightweight yet rigid, ideal for medium-sized channel letter faces.","sequence_no":2},{"material_id":300,"dense_weight_expression":3.00006,"result":"21.1232796","sign_material":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","description":"Aluminium sheet 0.059\" – Flexible and easy to bend, ideal for channel letter returns.","sequence_no":3},{"material_id":301,"dense_weight_expression":0,"result":"0","sign_material":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","description":null,"sequence_no":4},{"material_id":302,"dense_weight_expression":0,"result":"0","sign_material":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","description":null,"sequence_no":5},{"material_id":303,"dense_weight_expression":0,"result":0,"sign_material":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","description":null,"sequence_no":6},{"material_id":304,"dense_weight_expression":0.006467240956,"result":6.4672409559999995,"sign_material":"Epoxy Primer Pakistan","description":null,"sequence_no":7},{"material_id":305,"dense_weight_expression":0.0005136493916666667,"result":0.5136493916666667,"sign_material":"Master Thinner Pakistan","description":null,"sequence_no":8},{"material_id":306,"dense_weight_expression":0.004899424966666667,"result":4.899424966666667,"sign_material":"Epoxy Hardner Master Pakistan","description":null,"sequence_no":9},{"material_id":307,"dense_weight_expression":0,"result":"0","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":10},{"material_id":308,"dense_weight_expression":0,"result":"0","sign_material":"Matting Agent (P565-554) 1L Nexa Pakistan","description":null,"sequence_no":11},{"material_id":309,"dense_weight_expression":0,"result":"0","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":12},{"material_id":310,"dense_weight_expression":0,"result":"0","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":13},{"material_id":311,"dense_weight_expression":0.010069507066667,"result":"10.069507066667","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":14},{"material_id":312,"dense_weight_expression":0.0048870514,"result":"4.8870514","sign_material":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","description":"High Quality Gloss / Satin Paint – PU or solvent-based, gloss (70+ GU) or satin (30–50 GU) sheen.","sequence_no":15},{"material_id":313,"dense_weight_expression":0.006543548,"result":"6.543548","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":16},{"material_id":314,"dense_weight_expression":0.00052210986666667,"result":"0.52210986666667","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":17},{"variable_id":82,"dense_weight_expression":0,"result":6.780506329533401,"sign_material":"Paint Miscellaneous cost","description":null,"sequence_no":18},{"variable_id":83,"dense_weight_expression":0,"result":20.835,"sign_material":"Packaging/Box Making","description":"Custom Packaging with 3–5 ply corrugated boxes with inner foam/styro and stretch wrap.","sequence_no":19},{"material_id":526,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 5ply","description":null,"sequence_no":20},{"material_id":527,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 7Ply","description":null,"sequence_no":21},{"material_id":528,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 9 Ply","description":null,"sequence_no":22},{"material_id":529,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 5mm 3 Core 4*8","description":null,"sequence_no":23},{"material_id":530,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 7mm 4 Core","description":null,"sequence_no":24},{"material_id":531,"dense_weight_expression":21.1128,"result":0,"sign_material":"Plywood Sheet 8*4 Mersawa 6 core 9MM","description":null,"sequence_no":25},{"material_id":532,"dense_weight_expression":5.2706735812418,"result":0,"sign_material":"Wood Lar 9''x132''","description":null,"sequence_no":26},{"variable_id":84,"dense_weight_expression":0,"result":0,"sign_material":"Miscalleneous (10%)","description":null,"sequence_no":27},{"variable_id":85,"dense_weight_expression":0,"result":0,"sign_material":"Where Wastage magnification factor for Sheets consumption is taken as","description":null,"sequence_no":28},{"variable_id":86,"dense_weight_expression":0,"result":"1","sign_material":"Flush/Stud Mount","description":"Sign to be Flush/Stud Mounted to the wall.","sequence_no":29},{"variable_id":87,"dense_weight_expression":0,"result":"0","sign_material":"Standard Raceway (6x2)","description":null,"sequence_no":30},{"variable_id":88,"dense_weight_expression":0,"result":"0","sign_material":"Flat Backer (2.5 mm)","description":null,"sequence_no":31},{"variable_id":89,"dense_weight_expression":0,"result":"0","sign_material":"Backerboard Cabinet (2\")","description":null,"sequence_no":32},{"variable_id":90,"dense_weight_expression":38.766393724178414,"result":180.4048540549205,"sign_material":"Total Cost","description":null,"sequence_no":33}],"productionError":[],"request":{"sign_width_or_height":"120","sign_depth_or_thickness":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"49.6","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"23","perimeter_of_sign":"95.24","nested_area":"27.78","occupied_area":"11.58","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"49.6","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null},"TATDays":21,"testDenseWeight":38.766393724178414},"timestamp":"2026-01-29 07:32:40"} 
[2026-01-29 07:32:40] local.INFO: API Epic Craftings Calculation Ended ======================================================================================================== {"data":null,"timestamp":"2026-01-29 07:32:40"} 
[2026-01-29 07:32:41] local.INFO: API B2 Sign Calculation Started ======================================================================================================== {"data":null,"timestamp":"2026-01-29 07:32:41"} 
[2026-01-29 07:32:41] local.INFO: Incoming Request {"data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated","sign_depth":"5","mounting_type":"Flush/Stud mounted","sign_height":49.6,"sign_width":"120","dimensions":[{"id":"a7cd7607-b2bb-4892-9875-b687688bca56","height":7.26,"width":3.44},{"id":"a3a04c78-0d8e-4254-aca8-7797707243c5","height":7.26,"width":3.44},{"id":"ef6f6c67-d25a-4570-8f65-7d7ea2bee7c4","height":7.26,"width":7.64},{"id":"9ada1f02-c28a-4030-b7bc-e7eee9afeba6","height":7.64,"width":7.26},{"id":"b57d31f4-7b0c-4fe4-b199-8c6067e79724","height":7.64,"width":7.26},{"id":"e720ce65-6919-4276-9497-125b49a9f43a","height":7.64,"width":7.26},{"id":"56b517b1-fbba-4b87-8836-86e8cea54090","height":9.17,"width":4.59},{"id":"f7b7e7b9-5e56-458e-a7f7-e534bbfa78c2","height":9.55,"width":8.41},{"id":"cdc5f089-98b0-4e77-bae0-14d191849a17","height":9.55,"width":4.2},{"id":"eda86f1c-047e-49b4-a729-e298085f09e8","height":9.55,"width":7.64},{"id":"483db56c-ab7f-44a1-b0cc-dd62b138a77d","height":9.94,"width":8.03},{"id":"957b1f69-5f00-489a-b4fe-2e95e32b4651","height":9.94,"width":3.82},{"id":"16065d90-12e4-4465-81c9-425e83d7ba45","height":9.94,"width":8.41},{"id":"c9ef1cb2-f9ba-422e-9df5-88a212e28a75","height":9.94,"width":16.05},{"id":"ba754956-9412-40e6-9d18-cf59e80e10a0","height":23.69,"width":51.59},{"id":"4ee295fd-d40c-4271-9989-58e525cd9193","height":13.76,"width":14.14},{"id":"c91e90e6-04d2-4c09-a40d-44c7eec79b4f","height":18.73,"width":17.58},{"id":"eb9f18fb-fd7f-4006-a855-4baa2d64a1cb","height":4.97,"width":4.97},{"id":"66748dfa-b27a-41cf-9a6c-b371cd71dc4c","height":14.52,"width":16.05},{"id":"6d92aced-d0c7-43c6-b60a-78a4bdef549a","height":4.2,"width":3.82},{"id":"e70e224f-6bdf-48c4-b353-2ccf28a63a04","height":10.32,"width":31.34},{"id":"a7523af6-7609-445e-8f6a-af1488d09f1d","height":19.49,"width":19.49},{"id":"26f0b405-70d3-4ac6-860d-a14baf51f4d4","height":19.11,"width":21.4}]},"timestamp":"2026-01-29 07:32:41"} 
[2026-01-29 07:32:41] local.INFO: Validating Request Payload {"data":[],"timestamp":"2026-01-29 07:32:41"} 
[2026-01-29 07:32:41] local.INFO: Request Validation Successful {"data":{"validated_data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated","sign_depth":"5","mounting_type":"Flush/Stud mounted","sign_height":49.6,"sign_width":"120","dimensions":[{"id":"a7cd7607-b2bb-4892-9875-b687688bca56","height":7.26,"width":3.44},{"id":"a3a04c78-0d8e-4254-aca8-7797707243c5","height":7.26,"width":3.44},{"id":"ef6f6c67-d25a-4570-8f65-7d7ea2bee7c4","height":7.26,"width":7.64},{"id":"9ada1f02-c28a-4030-b7bc-e7eee9afeba6","height":7.64,"width":7.26},{"id":"b57d31f4-7b0c-4fe4-b199-8c6067e79724","height":7.64,"width":7.26},{"id":"e720ce65-6919-4276-9497-125b49a9f43a","height":7.64,"width":7.26},{"id":"56b517b1-fbba-4b87-8836-86e8cea54090","height":9.17,"width":4.59},{"id":"f7b7e7b9-5e56-458e-a7f7-e534bbfa78c2","height":9.55,"width":8.41},{"id":"cdc5f089-98b0-4e77-bae0-14d191849a17","height":9.55,"width":4.2},{"id":"eda86f1c-047e-49b4-a729-e298085f09e8","height":9.55,"width":7.64},{"id":"483db56c-ab7f-44a1-b0cc-dd62b138a77d","height":9.94,"width":8.03},{"id":"957b1f69-5f00-489a-b4fe-2e95e32b4651","height":9.94,"width":3.82},{"id":"16065d90-12e4-4465-81c9-425e83d7ba45","height":9.94,"width":8.41},{"id":"c9ef1cb2-f9ba-422e-9df5-88a212e28a75","height":9.94,"width":16.05},{"id":"ba754956-9412-40e6-9d18-cf59e80e10a0","height":23.69,"width":51.59},{"id":"4ee295fd-d40c-4271-9989-58e525cd9193","height":13.76,"width":14.14},{"id":"c91e90e6-04d2-4c09-a40d-44c7eec79b4f","height":18.73,"width":17.58},{"id":"eb9f18fb-fd7f-4006-a855-4baa2d64a1cb","height":4.97,"width":4.97},{"id":"66748dfa-b27a-41cf-9a6c-b371cd71dc4c","height":14.52,"width":16.05},{"id":"6d92aced-d0c7-43c6-b60a-78a4bdef549a","height":4.2,"width":3.82},{"id":"e70e224f-6bdf-48c4-b353-2ccf28a63a04","height":10.32,"width":31.34},{"id":"a7523af6-7609-445e-8f6a-af1488d09f1d","height":19.49,"width":19.49},{"id":"26f0b405-70d3-4ac6-860d-a14baf51f4d4","height":19.11,"width":21.4}]}},"timestamp":"2026-01-29 07:32:41"} 
[2026-01-29 07:32:41] local.INFO: Fetching Sign Type {"data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated"},"timestamp":"2026-01-29 07:32:41"} 
[2026-01-29 07:32:41] local.INFO: Sign Type Query Result {"data":{"found":true,"sign_type_id":14},"timestamp":"2026-01-29 07:32:41"} 
[2026-01-29 07:32:41] local.INFO: Checking B2 Module for Sign Type {"data":{"sign_type_id":14},"timestamp":"2026-01-29 07:32:41"} 
[2026-01-29 07:32:41] local.INFO: Sign Type B2 Module Result {"data":{"has_b2_module":false},"timestamp":"2026-01-29 07:32:41"} 
[2026-01-29 07:32:41] local.ERROR: Sign Type Without B2 Module Attempt {"data":{"sign_type_id":14},"timestamp":"2026-01-29 07:32:41"} 
[2026-01-29 07:32:42] local.INFO: USA Workshop Calculation API Started {"data":{"request":{"sign_type":"Fabricated Channel Letters - Non Illuminated","sign_depth":"5","mounting_type":"Flush/Stud mounted","sign_height":49.6,"sign_width":"120","shipping_weight":51.5,"shape":"rectangular","dimensions":[{"id":"a7cd7607-b2bb-4892-9875-b687688bca56","height":7.26,"width":3.44},{"id":"a3a04c78-0d8e-4254-aca8-7797707243c5","height":7.26,"width":3.44},{"id":"ef6f6c67-d25a-4570-8f65-7d7ea2bee7c4","height":7.26,"width":7.64},{"id":"9ada1f02-c28a-4030-b7bc-e7eee9afeba6","height":7.64,"width":7.26},{"id":"b57d31f4-7b0c-4fe4-b199-8c6067e79724","height":7.64,"width":7.26},{"id":"e720ce65-6919-4276-9497-125b49a9f43a","height":7.64,"width":7.26},{"id":"56b517b1-fbba-4b87-8836-86e8cea54090","height":9.17,"width":4.59},{"id":"f7b7e7b9-5e56-458e-a7f7-e534bbfa78c2","height":9.55,"width":8.41},{"id":"cdc5f089-98b0-4e77-bae0-14d191849a17","height":9.55,"width":4.2},{"id":"eda86f1c-047e-49b4-a729-e298085f09e8","height":9.55,"width":7.64},{"id":"483db56c-ab7f-44a1-b0cc-dd62b138a77d","height":9.94,"width":8.03},{"id":"957b1f69-5f00-489a-b4fe-2e95e32b4651","height":9.94,"width":3.82},{"id":"16065d90-12e4-4465-81c9-425e83d7ba45","height":9.94,"width":8.41},{"id":"c9ef1cb2-f9ba-422e-9df5-88a212e28a75","height":9.94,"width":16.05},{"id":"ba754956-9412-40e6-9d18-cf59e80e10a0","height":23.69,"width":51.59},{"id":"4ee295fd-d40c-4271-9989-58e525cd9193","height":13.76,"width":14.14},{"id":"c91e90e6-04d2-4c09-a40d-44c7eec79b4f","height":18.73,"width":17.58},{"id":"eb9f18fb-fd7f-4006-a855-4baa2d64a1cb","height":4.97,"width":4.97},{"id":"66748dfa-b27a-41cf-9a6c-b371cd71dc4c","height":14.52,"width":16.05},{"id":"6d92aced-d0c7-43c6-b60a-78a4bdef549a","height":4.2,"width":3.82},{"id":"e70e224f-6bdf-48c4-b353-2ccf28a63a04","height":10.32,"width":31.34},{"id":"a7523af6-7609-445e-8f6a-af1488d09f1d","height":19.49,"width":19.49},{"id":"26f0b405-70d3-4ac6-860d-a14baf51f4d4","height":19.11,"width":21.4}]}},"timestamp":"2026-01-29 07:32:42"} 
[2026-01-29 07:32:42] local.INFO: Validation Passed {"data":[],"timestamp":"2026-01-29 07:32:42"} 
[2026-01-29 07:32:42] local.INFO: Input Parameters {"data":{"dimensions_count":23,"shape":"rectangular"},"timestamp":"2026-01-29 07:32:42"} 
[2026-01-29 07:32:42] local.INFO: Resolved Default Data {"data":{"sign_type_map":{"sign_type_halo_lit_letters":"Halo Lit Channel Letters","sign_type_face_lit_letters":"Premium Face-Lit Letters (Metallic Trim)","sign_type_face_and_halo_lit_letters":"Face & Halo Lit Channel Letters","sign_type_single_sided_lightbox":"Fabricated Lightbox - Single Sided","sign_type_double_sided_lightbox":"Fabricated Blade Sign -  Illuminated/Double Sided","sign_type_flat_cut_acrylic_letters":"Flat Cut Acrylic Letters","sign_type_flat_cut_aluminum_letters":"Flat Cut Aluminum Letters","sign_type_single_sided_push_through":"Fabricated Push Through - Single Sided","sign_type_fabricated_letters_non_lit":"Fabricated Channel Letters - Non Illuminated","sign_type_2d_blade_sign":"Flat Blade Sign","sign_type_3d_blade_sign":"Fabricated Blade Sign - Non Illuminated / Double Sided","sign_type_neon_sign":"Neon Sign","sign_type_marquee_channel_letters":"Marquee Channel Letters","sign_type_open_face_neon_channel_letters":"Open Face Neon Channel Letters","sign_type_mirror_infinity_channel_letters":"Mirror Infinity Channel Letters","sign_type_metal_on_acrylic":"Flat Cut Acrylic with Metal Pasting","sign_type_neon_acrylic_sign":"Neon Acrylic Sign","sign_type_double_sided_push_through_cabinet":"Double Sided Push Through Cabinet","sign_type_standard_face_lit_plastic_trim_letters":"Standard Face Lit Letters (Plastic Trim)","mounting_type_flush_stud_mounted":"Flush/Stud mounted","mounting_type_standard_raceway_6x2":"Standard Raceway","mounting_type_flat_backer_2_5_mm":"Flat Backer","mounting_type_backerboard_cabinet_2_inch":"Backerboard Cabinet","avg_char_height_less_than_24_inches":"Less than 24 inches","avg_char_height_greater_than_24_inches":"Greater than 24 inches","raceway_height_6":"6","raceway_height_8":"8","raceway_height_10":"10","raceway_height_12":"12","raceway_depth_2":"2","raceway_depth_3":"3","raceway_depth_4":"4","raceway_depth_5":"5","raceway_depth_6":"6","raceway_depth_7":"7","raceway_depth_8":"8","backboard_cabinet_depth_2":"2","backboard_cabinet_depth_3":"3","backboard_cabinet_depth_4":"4","backboard_cabinet_depth_5":"5","backboard_cabinet_depth_6":"6","backboard_cabinet_depth_7":"7","backboard_cabinet_depth_8":"8","material_aluminium":"Aluminium","material_stainless_steel":"Stainless Steel","application_exterior":"Exterior","application_interior":"Interior","ul_mandatory_yes":"Yes","ul_mandatory_no":"No","paint_finish_gloss_satin":"Gloss/Satin","paint_finish_matte":"Matte","neon_color_simple":"Simple","neon_color_rgb":"RGB","uv_printing_needed_yes":"Yes","uv_printing_needed_no":"No","trim_type_trimless":"Trimless","trim_type_with_trim":"With Trim","fabricated_finish_original_colors_matt":"Original Colors Matt","fabricated_finish_original_colors_gloss":"Original Colors Gloss","fabricated_finish_silver_mirror":"Silver Mirror","fabricated_finish_silver_brushed":"Silver Brushed","fabricated_finish_golden_mirror":"Golden Mirror","fabricated_finish_golden_brushed":"Golden Brushed","fabricated_finish_bronze_mirror":"Bronze Mirror","fabricated_finish_bronze_brushed":"Bronze Brushed","fabricated_finish_bronze_antique":"Bronze Antique","lightbox_type_light_box":"Lightbox","lightbox_type_cut_to_shape":"Cut to shape Lightbox","return_color_black":"Black","return_color_white":"White","return_color_blue":"Blue","return_color_brown":"Brown","return_color_yellow":"Yellow","return_color_teal":"Teal","return_color_orange":"Orange","return_color_golden_brushed":"Gold Brushed","return_color_match_logo":"Match Logo (Default)","shape_rectangular":"Rectangular","shape_cut_to_shape":"Cut to shape","shape_round":"Round"}},"timestamp":"2026-01-29 07:32:42"} 
[2026-01-29 07:32:42] local.INFO: Sign Type Lookup {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","found":true,"sign_type_id":14},"timestamp":"2026-01-29 07:32:42"} 
[2026-01-29 07:32:42] local.INFO: USA Workshop Module Check {"data":{"sign_type_id":14,"has_module":true},"timestamp":"2026-01-29 07:32:42"} 
[2026-01-29 07:32:42] local.INFO: Initial Price Lookup {"data":{"shape":"rectangular","price_found":true},"timestamp":"2026-01-29 07:32:42"} 
[2026-01-29 07:32:42] local.INFO: USA Workshop Price Found {"data":{"base":"object","price_per_inch":5.0},"timestamp":"2026-01-29 07:32:42"} 
[2026-01-29 07:32:42] local.INFO: Calculating Production Cost (Object Base) {"data":[],"timestamp":"2026-01-29 07:32:42"} 
[2026-01-29 07:32:42] local.INFO: USA Workshop Calculation Completed {"data":{"production_cost":1255.35,"dimensions_count":23},"timestamp":"2026-01-29 07:32:42"} 
[2026-01-29 07:35:58] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","user_input_dimension":"width","sign_depth":"5","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flush/Stud 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than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"49.6"}},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: API Input Data Collected {"data":{"user_id":null,"request_data":{"sign_width_or_height":"120","sign_depth_or_thickness":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"49.6","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"23","perimeter_of_sign":"95.24","nested_area":"27.78","occupied_area":"11.58","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"49.6","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null}},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Looking up SignType {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Retrieved Material Formulas {"data":{"sign_type_id":14,"formulas_count":24},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Retrieved Variables List {"data":{"sign_type_id":14,"variables_count":9},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Price Map Constructed {"data":{"price_map":{"material501803":3.6821,"weight_material501803":0.629,"material501880":2.4107,"weight_material501880":0.503,"material501060":2.2179,"weight_material501060":0.378,"material500730":2.7786,"weight_material500730":1.481,"material500591":0.9286,"weight_material500591":0.357,"material500611":0.0062,"weight_material500611":6.2e-6,"material500214":0.0025,"weight_material500214":2.5e-6,"material501055":0.0155,"weight_material501055":1.55e-5,"material502098":0.0286,"weight_material502098":2.86e-5,"material502079":0.0163,"weight_material502079":1.63e-5,"material502350":0.0254,"weight_material502350":2.54e-5,"material501680":0.0076,"weight_material501680":7.6e-6,"material502131":0.0271,"weight_material502131":2.71e-5,"material500379":0.132,"weight_material500379":0.09,"material500419":0.16,"weight_material500419":0.11,"material502106":0.13,"weight_material502106":0.16,"material502567":0.13,"weight_material502567":0.21,"material502564":0.18,"weight_material502564":0.35,"material500154":0.4,"weight_material500154":0.38,"material502074":0.8,"weight_material502074":1.0}},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Variables Price Constructed {"data":{"variables_price":{"variable82":0,"variable83":0.75,"variable84":1.1,"variable85":1.2,"variable86":0,"variable87":0,"variable88":0,"variable89":0,"variable90":0}},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Final Variables Merged {"data":{"variables_count":161},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Initialized items collection {"data":{"count":0},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Merged material items {"data":{"formulas_count":24,"items_count_after_merge":24},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Merged variable items {"data":{"variables_count":9,"items_count_after_merge":33},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Sorted items collection {"data":{"items_count":33,"first_item":{"type":"material","id":298,"expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, variable85 * nested_area * material501803, 0 )","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","var_name":"material501803","price":"3.6821","description":"Aluminium sheet 0.098\" – Durable, corrosion-resistant, suitable for both indoor and outdoor channel letter faces.","sequence_no":1},"last_item":{"type":"variable","id":90,"expression":"totalCost * variable84","dense_weight_expression":"totalDenseWeight  * 1.1","name":"Total Cost","var_name":"variable90","price":null,"description":null,"sequence_no":33}},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Initializing MathExecutor {"data":{"variables_count":161},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: MathExecutor variables set {"data":{"variables_count":161},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, variable85 * nested_area * material501803, 0 )","result":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches, weight_material501880 * occupied_area, 0 )","itemDenseWeight":"5.82474"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches, variable85 * nested_area * material501880, 0 )","result":"80.3630952"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, 0, weight_material501060 * ( sign_depth_or_thickness / 12 * perimeter_of_sign )  )","itemDenseWeight":"3.00006"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, 0, material501060 * variable85 * ( sign_depth_or_thickness / 12 * perimeter_of_sign )  )","result":"21.1232796"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, occupied_area * weight_material500730 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, variable85 * nested_area * material500730, 0 )","result":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * weight_material500591 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel, variable85 * ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * material500591, 0 )","result":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: No formula, default result applied {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Epoxy Primer Pakistan","dense_weight_expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * weight_material500611","itemDenseWeight":0.006467240956},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Primer Pakistan","expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * material500611","result":6.4672409559999995},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Master Thinner Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * weight_material500214","itemDenseWeight":0.0005136493916666667},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"Master Thinner Pakistan","expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * material500214","result":0.5136493916666667},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Epoxy Hardner Master Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * weight_material501055","itemDenseWeight":0.004899424966666667},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Hardner Master Pakistan","expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * material501055","result":4.899424966666667},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * weight_material502098 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * material502098, 0 )","result":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * weight_material502079 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * material502079, 0 )","result":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502350 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502350, 0 )","result":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * weight_material501680 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * material501680, 0 )","result":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * weight_material502098 )","itemDenseWeight":"0.010069507066667"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * material502098 )","result":"10.069507066667"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502131 )","itemDenseWeight":"0.0048870514"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * material502131 )","result":"4.8870514"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * weight_material502350 )","itemDenseWeight":"0.006543548"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * material502350)","result":"6.543548"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * weight_material501680 )","itemDenseWeight":"0.00052210986666667"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * material501680 )","result":"0.52210986666667"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"Paint Miscellaneous cost","expression":"0.2 * ( formula304 + formula305 + formula306 + formula307 + formula308 + formula309 + formula310 + formula311 + formula312 + formula313 + formula314 )","result":6.780506329533401},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"Packaging/Box Making","expression":"variable83 * nested_area","result":20.835},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 5ply","dense_weight_expression":"if( ( width_of_sign > 0 || other_dimension_of_sign > 0 ) && width_of_sign <= 30 && other_dimension_of_sign <= 30, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500379 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 5ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 7Ply","dense_weight_expression":"if( ( width_of_sign > 30 || other_dimension_of_sign > 30 ) && width_of_sign <= 50 && other_dimension_of_sign <= 50, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500419 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 7Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight_expression":"if( ( width_of_sign > 50 || other_dimension_of_sign > 50 ) && width_of_sign <= 60 && other_dimension_of_sign <= 60, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material502106 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ) && width_of_sign <= 70 && other_dimension_of_sign <= 70, nested_area * 2 * weight_material502567 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight_expression":"if( ( width_of_sign > 70 || other_dimension_of_sign > 70 ) && width_of_sign <= 90 && other_dimension_of_sign <= 90, nested_area * 2 * weight_material502564 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight_expression":"if( ( width_of_sign > 90 || other_dimension_of_sign > 90 ), nested_area * weight_material500154 * 2, 0 )","itemDenseWeight":"21.1128"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight":"21.1128","result":0},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Wood Lar 9''x132''","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ), 4 * sqrt(nested_area) * (  ( sign_depth_or_thickness + 2 ) / 12 ) * weight_material502074 , 0 )","itemDenseWeight":"5.2706735812418"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: No formula, default result applied {"data":{"name":"Wood Lar 9''x132''","dense_weight":"5.2706735812418","result":0},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: No formula, default result applied {"data":{"name":"Miscalleneous (10%)","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: No formula, default result applied {"data":{"name":"Where Wastage magnification factor for Sheets consumption is taken as","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"Flush/Stud Mount","expression":"if(mounting_type == mounting_type_flush_stud_mounted, 1, 0 )","result":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Standard Raceway (6x2)","dense_weight_expression":"if(mounting_type == mounting_type_standard_raceway_6x2, (  (  (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_height * 2 ) + ( raceway_height * raceway_depth * 2 ) + (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_depth * 2 )  ) / 144 ) * weight_material501803 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"Standard Raceway (6x2)","expression":"if(mounting_type == mounting_type_standard_raceway_6x2, variable85 * (  ( material501803 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  ) + ( 2.7 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Flat Backer (2.5 mm)","dense_weight_expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) / 144 * weight_material501803 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"Flat Backer (2.5 mm)","expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, variable85 * (  ( material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2.7 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Dense weight computed {"data":{"name":"Backerboard Cabinet (2\")","dense_weight_expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, (  ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  ) + ( 2 * (  ( other_dimension_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  )  ) / 144 * weight_material501803, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula executed successfully {"data":{"name":"Backerboard Cabinet (2\")","expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, variable85 * (  (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * material501803 / 144 ) + (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * 2.7 / 144 )  ), 0 )","result":"0"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Total Cost formula detected {"data":{"item_id":90},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Formula calculations completed {"data":{"total_items":33,"successful_calculations":32,"errors_count":0},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Summed initial totals {"data":{"totalCost_before_formula":164.00441277720043,"totalDenseWeight_before_formula":35.24217611288947},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Total Cost formula executed {"data":{"formula":"totalCost * variable84","computed_totalCost":180.4048540549205},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Total Dense Weight formula executed {"data":{"formula":"totalDenseWeight  * 1.1","computed_totalDenseWeight":38.766393724178414},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Total Cost result added to calculationsResults {"data":{"variable_id":90,"result":180.4048540549205,"dense_weight_expression":38.766393724178414},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Preparing boxes for bin packing {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","objects_count":23,"totalDenseWeight":0},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: Processing flush stud mounted objects for 3D bin packing {"data":{"objects_count":23,"sign_depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-1","width":3.44,"height":7.26,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-2","width":3.44,"height":7.26,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-3","width":7.64,"height":7.26,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-4","width":7.26,"height":7.64,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-5","width":7.26,"height":7.64,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-6","width":7.26,"height":7.64,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-7","width":4.59,"height":9.17,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-8","width":8.41,"height":9.55,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-9","width":4.2,"height":9.55,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-10","width":7.64,"height":9.55,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-11","width":8.03,"height":9.94,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-12","width":3.82,"height":9.94,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-13","width":8.41,"height":9.94,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-14","width":16.05,"height":9.94,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-15","width":51.59,"height":23.69,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-16","width":14.14,"height":13.76,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-17","width":17.58,"height":18.73,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-18","width":4.97,"height":4.97,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-19","width":16.05,"height":14.52,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-20","width":3.82,"height":4.2,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-21","width":31.34,"height":10.32,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-22","width":19.49,"height":19.49,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing item added {"data":{"item_id":"item-23","width":21.4,"height":19.11,"depth":"1"},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:58] local.INFO: 3D Bin Packing API response received {"data":{"response":{"response":{"id":"1769672158_08b3eb85fd2035841a69c0921511d7b5","bins_packed":[{"bin_data":{"w":51.89,"h":23.99,"d":9.1,"id":"unique","used_space":47.7513,"weight":0,"gross_weight":0,"used_weight":100,"stack_height":23.99,"order_id":null},"image_complete":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/7569d2e6552ba9b75346799f205ff016/1769672158-7775-6346721.svg","items":[{"id":"item-14","w":16.35,"h":10.24,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/7569d2e6552ba9b75346799f205ff016/1769672158-7759-6400756.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-10","w":7.94,"h":9.85,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/7569d2e6552ba9b75346799f205ff016/1769672158-776-8727977.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-18","w":5.27,"h":5.27,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/7569d2e6552ba9b75346799f205ff016/1769672158-7761-5631027.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-7","w":4.89,"h":9.47,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/7569d2e6552ba9b75346799f205ff016/1769672158-7761-8749499.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-20","w":4.12,"h":4.5,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/7569d2e6552ba9b75346799f205ff016/1769672158-7762-4107244.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels 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deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-12","w":4.12,"h":10.24,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/7569d2e6552ba9b75346799f205ff016/1769672158-7764-1685597.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-4","w":7.56,"h":7.94,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/7569d2e6552ba9b75346799f205ff016/1769672158-7765-5027850.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-5","w":7.56,"h":7.94,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/7569d2e6552ba9b75346799f205ff016/1769672158-7765-6649689.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-6","w":7.56,"h":7.94,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/7569d2e6552ba9b75346799f205ff016/1769672158-7766-3667707.svg","coordinates":{"x1":"Over 9 levels 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normalization"}},{"id":"item-19","w":16.35,"h":14.82,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/7569d2e6552ba9b75346799f205ff016/1769672158-7767-6020608.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting normalization","z2":"Over 9 levels deep, aborting normalization"}},{"id":"item-8","w":8.71,"h":9.85,"d":1.3,"wg":0,"image_sbs":"http://images-asia1.api.3dbinpacking.com/83c69339b5823a87cb1a4516797168fe/20260129/7569d2e6552ba9b75346799f205ff016/1769672158-7768-1766434.svg","coordinates":{"x1":"Over 9 levels deep, aborting normalization","y1":"Over 9 levels deep, aborting normalization","z1":"Over 9 levels deep, aborting normalization","x2":"Over 9 levels deep, aborting normalization","y2":"Over 9 levels deep, aborting 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[2026-01-29 07:35:58] local.INFO: Box added from packed bin {"data":{"length":9.1,"width":51.89,"height":23.99,"denseWeight":0},"timestamp":"2026-01-29 07:35:58"} 
[2026-01-29 07:35:59] local.INFO: Shipping rates calculated {"data":{"boxes":[{"size":{"length":11.1,"width":53.89,"height":26.24},"quantity":1,"denseWeight":1}],"cheapestShippingCost":527.94927375,"rawShippingRates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":82.4,"rate":652.405,"tariffAndDS":734.805,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":1172.1794054999998,"totalShipmentCostFormula":"((tariffAndDS (734.805) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 1172.18","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":82.4,"rate":370.20000000000005,"tariffAndDS":452.6,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":747.4326599999999,"totalShipmentCostFormula":"((tariffAndDS (452.6) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 747.43","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":51.5,"rate":484.935,"tariffAndDS":536.435,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":824.5005949999999,"totalShipmentCostFormula":"(( tariffAndDS (536.435) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 824.500595","warnings":[]},{"career":"fedex_flyer","error":["Package doesn't come under dimension","Weight is higher then 2.5 kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":82.4,"rate":"479.70","tariffAndDS":562.1,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":606.1,"totalShipmentCostFormula":"(((tariffAndDS (562.1) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 606.1","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":0,"rate":338.93,"tariffAndDS":338.93,"fuelSurcharge":"0.3025","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":527.94927375,"totalShipmentCostFormula":"(((tariffAndDS (338.93) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3025)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 527.94927375","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":0,"rate":965,"tariffAndDS":965,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":965,"totalShipmentCostFormula":"((tariffAndDS (965) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 965"}]}},"timestamp":"2026-01-29 07:35:59"} 
[2026-01-29 07:35:59] local.INFO: Product cost factor determined {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","productCostFactor":1.66},"timestamp":"2026-01-29 07:35:59"} 
[2026-01-29 07:35:59] local.INFO: Final API Response {"data":{"sign_width":"120","sign_height":"49.6","sign_depth":"5","sign_type":"Fabricated Channel Letters - Non Illuminated","processed_sign_type":"Fabricated Channel Letters - Non Illuminated","sideViewImage":"https://api.signize.ai/mockups/flush-stud/flush-stud-fabricated-channel-letters-non-illuminated.png","mounting_type":"Flush/Stud 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kg"]},{"career":"dhl_usa","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":82.4,"rate":"479.70","tariffAndDS":562.1,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":22,"overlengthSurcharge":22,"isRemotePrice":0,"totalShipmentCost":606.1,"totalShipmentCostFormula":"(((tariffAndDS (562.1) + overlengthSurcharge (22) + overweightSurcharge (22)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 606.1","warnings":["DHL USA Not Available (Width exceeds 97 cm)"]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":0,"rate":338.93,"tariffAndDS":338.93,"fuelSurcharge":"0.3025","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":12,"isRemotePrice":0,"totalShipmentCost":527.94927375,"totalShipmentCostFormula":"(((tariffAndDS (338.93) + overlengthSurcharge (12) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3025)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 527.94927375","warnings":["Extra Charges: Too High - Minimum Weight should be 40 KG"]},{"career":"sea_mode_oa","error":["Weight is higher then 5 kg"]},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":11.1,"width":53.89,"height":26.24},"denseWeight":1,"volumetricWeight":51.5,"higherWeight":51.5,"quantity":1}],"totalHigherWeight":51.5,"DS":0,"rate":965,"tariffAndDS":965,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":965,"totalShipmentCostFormula":"((tariffAndDS (965) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 965"}]},"cheapest_shipping_cost_usd":530.0,"totalCost":830.0,"productionResults":[{"material_id":298,"dense_weight_expression":0,"result":"0","sign_material":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","description":null,"sequence_no":1},{"material_id":299,"dense_weight_expression":5.82474,"result":"80.3630952","sign_material":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","description":"Aluminium sheet 0.079\" – Lightweight yet rigid, ideal for medium-sized channel letter faces.","sequence_no":2},{"material_id":300,"dense_weight_expression":3.00006,"result":"21.1232796","sign_material":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","description":"Aluminium sheet 0.059\" – Flexible and easy to bend, ideal for channel letter returns.","sequence_no":3},{"material_id":301,"dense_weight_expression":0,"result":"0","sign_material":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","description":null,"sequence_no":4},{"material_id":302,"dense_weight_expression":0,"result":"0","sign_material":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","description":null,"sequence_no":5},{"material_id":303,"dense_weight_expression":0,"result":0,"sign_material":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","description":null,"sequence_no":6},{"material_id":304,"dense_weight_expression":0.006467240956,"result":6.4672409559999995,"sign_material":"Epoxy Primer Pakistan","description":null,"sequence_no":7},{"material_id":305,"dense_weight_expression":0.0005136493916666667,"result":0.5136493916666667,"sign_material":"Master Thinner Pakistan","description":null,"sequence_no":8},{"material_id":306,"dense_weight_expression":0.004899424966666667,"result":4.899424966666667,"sign_material":"Epoxy Hardner Master Pakistan","description":null,"sequence_no":9},{"material_id":307,"dense_weight_expression":0,"result":"0","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":10},{"material_id":308,"dense_weight_expression":0,"result":"0","sign_material":"Matting Agent (P565-554) 1L Nexa Pakistan","description":null,"sequence_no":11},{"material_id":309,"dense_weight_expression":0,"result":"0","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":12},{"material_id":310,"dense_weight_expression":0,"result":"0","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":13},{"material_id":311,"dense_weight_expression":0.010069507066667,"result":"10.069507066667","sign_material":"Paint (P425-950) Jet Black 1L Nexa Pakistan","description":null,"sequence_no":14},{"material_id":312,"dense_weight_expression":0.0048870514,"result":"4.8870514","sign_material":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","description":"High Quality Gloss / Satin Paint – PU or solvent-based, gloss (70+ GU) or satin (30–50 GU) sheen.","sequence_no":15},{"material_id":313,"dense_weight_expression":0.006543548,"result":"6.543548","sign_material":"Hardner (922) 1L Nexa Pakistan","description":null,"sequence_no":16},{"material_id":314,"dense_weight_expression":0.00052210986666667,"result":"0.52210986666667","sign_material":"Thinner (P850-1491) Fast 5L Nexa Pakistan","description":null,"sequence_no":17},{"variable_id":82,"dense_weight_expression":0,"result":6.780506329533401,"sign_material":"Paint Miscellaneous cost","description":null,"sequence_no":18},{"variable_id":83,"dense_weight_expression":0,"result":20.835,"sign_material":"Packaging/Box Making","description":"Custom Packaging with 3–5 ply corrugated boxes with inner foam/styro and stretch wrap.","sequence_no":19},{"material_id":526,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 5ply","description":null,"sequence_no":20},{"material_id":527,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 7Ply","description":null,"sequence_no":21},{"material_id":528,"dense_weight_expression":0,"result":0,"sign_material":"Corrugated Sheet 9 Ply","description":null,"sequence_no":22},{"material_id":529,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 5mm 3 Core 4*8","description":null,"sequence_no":23},{"material_id":530,"dense_weight_expression":0,"result":0,"sign_material":"Plywood Sheet 7mm 4 Core","description":null,"sequence_no":24},{"material_id":531,"dense_weight_expression":21.1128,"result":0,"sign_material":"Plywood Sheet 8*4 Mersawa 6 core 9MM","description":null,"sequence_no":25},{"material_id":532,"dense_weight_expression":5.2706735812418,"result":0,"sign_material":"Wood Lar 9''x132''","description":null,"sequence_no":26},{"variable_id":84,"dense_weight_expression":0,"result":0,"sign_material":"Miscalleneous (10%)","description":null,"sequence_no":27},{"variable_id":85,"dense_weight_expression":0,"result":0,"sign_material":"Where Wastage magnification factor for Sheets consumption is taken as","description":null,"sequence_no":28},{"variable_id":86,"dense_weight_expression":0,"result":"1","sign_material":"Flush/Stud Mount","description":"Sign to be Flush/Stud Mounted to the wall.","sequence_no":29},{"variable_id":87,"dense_weight_expression":0,"result":"0","sign_material":"Standard Raceway (6x2)","description":null,"sequence_no":30},{"variable_id":88,"dense_weight_expression":0,"result":"0","sign_material":"Flat Backer (2.5 mm)","description":null,"sequence_no":31},{"variable_id":89,"dense_weight_expression":0,"result":"0","sign_material":"Backerboard Cabinet (2\")","description":null,"sequence_no":32},{"variable_id":90,"dense_weight_expression":38.766393724178414,"result":180.4048540549205,"sign_material":"Total Cost","description":null,"sequence_no":33}],"productionError":[],"request":{"sign_width_or_height":"120","sign_depth_or_thickness":"1","sign_type":"Fabricated Channel Letters - Non Illuminated","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":"1","raceway_depth":"2","raceway_height":"6","width_of_line_1":"120","width_of_line_2":"0","width_of_line_3":"0","width_of_line_4":"0","height_of_line_1":"49.6","height_of_line_2":"0","height_of_line_3":"0","height_of_line_4":"0","backer_offset":"2","backboard_cabinet_depth":"2","no_of_letters":"23","perimeter_of_sign":"95.24","nested_area":"27.78","occupied_area":"11.58","avg_char_height":"Less than 24 inches","width_of_sign":"120","width_of_smaller_line":"20","other_dimension_of_sign":"49.6","material":"Aluminium","application":null,"ul_mandatory":null,"paint_finish":"Gloss/Satin","neon_color":null,"uv_printing_needed":null},"TATDays":21,"testDenseWeight":38.766393724178414},"timestamp":"2026-01-29 07:35:59"} 
[2026-01-29 07:35:59] local.INFO: API Epic Craftings Calculation Ended ======================================================================================================== {"data":null,"timestamp":"2026-01-29 07:35:59"} 
[2026-01-29 07:36:00] local.INFO: API B2 Sign Calculation Started ======================================================================================================== {"data":null,"timestamp":"2026-01-29 07:36:00"} 
[2026-01-29 07:36:00] local.INFO: Incoming Request {"data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated","sign_depth":"5","mounting_type":"Flush/Stud mounted","sign_height":49.6,"sign_width":"120","dimensions":[{"id":"a7cd7607-b2bb-4892-9875-b687688bca56","height":7.26,"width":3.44},{"id":"a3a04c78-0d8e-4254-aca8-7797707243c5","height":7.26,"width":3.44},{"id":"ef6f6c67-d25a-4570-8f65-7d7ea2bee7c4","height":7.26,"width":7.64},{"id":"9ada1f02-c28a-4030-b7bc-e7eee9afeba6","height":7.64,"width":7.26},{"id":"b57d31f4-7b0c-4fe4-b199-8c6067e79724","height":7.64,"width":7.26},{"id":"e720ce65-6919-4276-9497-125b49a9f43a","height":7.64,"width":7.26},{"id":"56b517b1-fbba-4b87-8836-86e8cea54090","height":9.17,"width":4.59},{"id":"f7b7e7b9-5e56-458e-a7f7-e534bbfa78c2","height":9.55,"width":8.41},{"id":"cdc5f089-98b0-4e77-bae0-14d191849a17","height":9.55,"width":4.2},{"id":"eda86f1c-047e-49b4-a729-e298085f09e8","height":9.55,"width":7.64},{"id":"483db56c-ab7f-44a1-b0cc-dd62b138a77d","height":9.94,"width":8.03},{"id":"957b1f69-5f00-489a-b4fe-2e95e32b4651","height":9.94,"width":3.82},{"id":"16065d90-12e4-4465-81c9-425e83d7ba45","height":9.94,"width":8.41},{"id":"c9ef1cb2-f9ba-422e-9df5-88a212e28a75","height":9.94,"width":16.05},{"id":"ba754956-9412-40e6-9d18-cf59e80e10a0","height":23.69,"width":51.59},{"id":"4ee295fd-d40c-4271-9989-58e525cd9193","height":13.76,"width":14.14},{"id":"c91e90e6-04d2-4c09-a40d-44c7eec79b4f","height":18.73,"width":17.58},{"id":"eb9f18fb-fd7f-4006-a855-4baa2d64a1cb","height":4.97,"width":4.97},{"id":"66748dfa-b27a-41cf-9a6c-b371cd71dc4c","height":14.52,"width":16.05},{"id":"6d92aced-d0c7-43c6-b60a-78a4bdef549a","height":4.2,"width":3.82},{"id":"e70e224f-6bdf-48c4-b353-2ccf28a63a04","height":10.32,"width":31.34},{"id":"a7523af6-7609-445e-8f6a-af1488d09f1d","height":19.49,"width":19.49},{"id":"26f0b405-70d3-4ac6-860d-a14baf51f4d4","height":19.11,"width":21.4}]},"timestamp":"2026-01-29 07:36:00"} 
[2026-01-29 07:36:00] local.INFO: Validating Request Payload {"data":[],"timestamp":"2026-01-29 07:36:00"} 
[2026-01-29 07:36:00] local.INFO: Request Validation Successful {"data":{"validated_data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated","sign_depth":"5","mounting_type":"Flush/Stud mounted","sign_height":49.6,"sign_width":"120","dimensions":[{"id":"a7cd7607-b2bb-4892-9875-b687688bca56","height":7.26,"width":3.44},{"id":"a3a04c78-0d8e-4254-aca8-7797707243c5","height":7.26,"width":3.44},{"id":"ef6f6c67-d25a-4570-8f65-7d7ea2bee7c4","height":7.26,"width":7.64},{"id":"9ada1f02-c28a-4030-b7bc-e7eee9afeba6","height":7.64,"width":7.26},{"id":"b57d31f4-7b0c-4fe4-b199-8c6067e79724","height":7.64,"width":7.26},{"id":"e720ce65-6919-4276-9497-125b49a9f43a","height":7.64,"width":7.26},{"id":"56b517b1-fbba-4b87-8836-86e8cea54090","height":9.17,"width":4.59},{"id":"f7b7e7b9-5e56-458e-a7f7-e534bbfa78c2","height":9.55,"width":8.41},{"id":"cdc5f089-98b0-4e77-bae0-14d191849a17","height":9.55,"width":4.2},{"id":"eda86f1c-047e-49b4-a729-e298085f09e8","height":9.55,"width":7.64},{"id":"483db56c-ab7f-44a1-b0cc-dd62b138a77d","height":9.94,"width":8.03},{"id":"957b1f69-5f00-489a-b4fe-2e95e32b4651","height":9.94,"width":3.82},{"id":"16065d90-12e4-4465-81c9-425e83d7ba45","height":9.94,"width":8.41},{"id":"c9ef1cb2-f9ba-422e-9df5-88a212e28a75","height":9.94,"width":16.05},{"id":"ba754956-9412-40e6-9d18-cf59e80e10a0","height":23.69,"width":51.59},{"id":"4ee295fd-d40c-4271-9989-58e525cd9193","height":13.76,"width":14.14},{"id":"c91e90e6-04d2-4c09-a40d-44c7eec79b4f","height":18.73,"width":17.58},{"id":"eb9f18fb-fd7f-4006-a855-4baa2d64a1cb","height":4.97,"width":4.97},{"id":"66748dfa-b27a-41cf-9a6c-b371cd71dc4c","height":14.52,"width":16.05},{"id":"6d92aced-d0c7-43c6-b60a-78a4bdef549a","height":4.2,"width":3.82},{"id":"e70e224f-6bdf-48c4-b353-2ccf28a63a04","height":10.32,"width":31.34},{"id":"a7523af6-7609-445e-8f6a-af1488d09f1d","height":19.49,"width":19.49},{"id":"26f0b405-70d3-4ac6-860d-a14baf51f4d4","height":19.11,"width":21.4}]}},"timestamp":"2026-01-29 07:36:00"} 
[2026-01-29 07:36:00] local.INFO: Fetching Sign Type {"data":{"sign_type_name":"Fabricated Channel Letters - Non Illuminated"},"timestamp":"2026-01-29 07:36:00"} 
[2026-01-29 07:36:00] local.INFO: Sign Type Query Result {"data":{"found":true,"sign_type_id":14},"timestamp":"2026-01-29 07:36:00"} 
[2026-01-29 07:36:00] local.INFO: Checking B2 Module for Sign Type {"data":{"sign_type_id":14},"timestamp":"2026-01-29 07:36:00"} 
[2026-01-29 07:36:00] local.INFO: Sign Type B2 Module Result {"data":{"has_b2_module":false},"timestamp":"2026-01-29 07:36:00"} 
[2026-01-29 07:36:00] local.ERROR: Sign Type Without B2 Module Attempt {"data":{"sign_type_id":14},"timestamp":"2026-01-29 07:36:00"} 
[2026-01-29 07:36:01] local.INFO: USA Workshop Calculation API Started {"data":{"request":{"sign_type":"Fabricated Channel Letters - Non Illuminated","sign_depth":"5","mounting_type":"Flush/Stud mounted","sign_height":49.6,"sign_width":"120","shipping_weight":51.5,"shape":"rectangular","dimensions":[{"id":"a7cd7607-b2bb-4892-9875-b687688bca56","height":7.26,"width":3.44},{"id":"a3a04c78-0d8e-4254-aca8-7797707243c5","height":7.26,"width":3.44},{"id":"ef6f6c67-d25a-4570-8f65-7d7ea2bee7c4","height":7.26,"width":7.64},{"id":"9ada1f02-c28a-4030-b7bc-e7eee9afeba6","height":7.64,"width":7.26},{"id":"b57d31f4-7b0c-4fe4-b199-8c6067e79724","height":7.64,"width":7.26},{"id":"e720ce65-6919-4276-9497-125b49a9f43a","height":7.64,"width":7.26},{"id":"56b517b1-fbba-4b87-8836-86e8cea54090","height":9.17,"width":4.59},{"id":"f7b7e7b9-5e56-458e-a7f7-e534bbfa78c2","height":9.55,"width":8.41},{"id":"cdc5f089-98b0-4e77-bae0-14d191849a17","height":9.55,"width":4.2},{"id":"eda86f1c-047e-49b4-a729-e298085f09e8","height":9.55,"width":7.64},{"id":"483db56c-ab7f-44a1-b0cc-dd62b138a77d","height":9.94,"width":8.03},{"id":"957b1f69-5f00-489a-b4fe-2e95e32b4651","height":9.94,"width":3.82},{"id":"16065d90-12e4-4465-81c9-425e83d7ba45","height":9.94,"width":8.41},{"id":"c9ef1cb2-f9ba-422e-9df5-88a212e28a75","height":9.94,"width":16.05},{"id":"ba754956-9412-40e6-9d18-cf59e80e10a0","height":23.69,"width":51.59},{"id":"4ee295fd-d40c-4271-9989-58e525cd9193","height":13.76,"width":14.14},{"id":"c91e90e6-04d2-4c09-a40d-44c7eec79b4f","height":18.73,"width":17.58},{"id":"eb9f18fb-fd7f-4006-a855-4baa2d64a1cb","height":4.97,"width":4.97},{"id":"66748dfa-b27a-41cf-9a6c-b371cd71dc4c","height":14.52,"width":16.05},{"id":"6d92aced-d0c7-43c6-b60a-78a4bdef549a","height":4.2,"width":3.82},{"id":"e70e224f-6bdf-48c4-b353-2ccf28a63a04","height":10.32,"width":31.34},{"id":"a7523af6-7609-445e-8f6a-af1488d09f1d","height":19.49,"width":19.49},{"id":"26f0b405-70d3-4ac6-860d-a14baf51f4d4","height":19.11,"width":21.4}]}},"timestamp":"2026-01-29 07:36:01"} 
[2026-01-29 07:36:01] local.INFO: Validation Passed {"data":[],"timestamp":"2026-01-29 07:36:01"} 
[2026-01-29 07:36:01] local.INFO: Input Parameters {"data":{"dimensions_count":23,"shape":"rectangular"},"timestamp":"2026-01-29 07:36:01"} 
[2026-01-29 07:36:01] local.INFO: Resolved Default Data {"data":{"sign_type_map":{"sign_type_halo_lit_letters":"Halo Lit Channel Letters","sign_type_face_lit_letters":"Premium Face-Lit Letters (Metallic Trim)","sign_type_face_and_halo_lit_letters":"Face & Halo Lit Channel Letters","sign_type_single_sided_lightbox":"Fabricated Lightbox - Single Sided","sign_type_double_sided_lightbox":"Fabricated Blade Sign -  Illuminated/Double Sided","sign_type_flat_cut_acrylic_letters":"Flat Cut Acrylic Letters","sign_type_flat_cut_aluminum_letters":"Flat Cut Aluminum Letters","sign_type_single_sided_push_through":"Fabricated Push Through - Single Sided","sign_type_fabricated_letters_non_lit":"Fabricated Channel Letters - Non Illuminated","sign_type_2d_blade_sign":"Flat Blade Sign","sign_type_3d_blade_sign":"Fabricated Blade Sign - Non Illuminated / Double Sided","sign_type_neon_sign":"Neon Sign","sign_type_marquee_channel_letters":"Marquee Channel Letters","sign_type_open_face_neon_channel_letters":"Open Face Neon Channel Letters","sign_type_mirror_infinity_channel_letters":"Mirror Infinity Channel Letters","sign_type_metal_on_acrylic":"Flat Cut Acrylic with Metal Pasting","sign_type_neon_acrylic_sign":"Neon Acrylic Sign","sign_type_double_sided_push_through_cabinet":"Double Sided Push Through Cabinet","sign_type_standard_face_lit_plastic_trim_letters":"Standard Face Lit Letters (Plastic Trim)","mounting_type_flush_stud_mounted":"Flush/Stud mounted","mounting_type_standard_raceway_6x2":"Standard Raceway","mounting_type_flat_backer_2_5_mm":"Flat Backer","mounting_type_backerboard_cabinet_2_inch":"Backerboard Cabinet","avg_char_height_less_than_24_inches":"Less than 24 inches","avg_char_height_greater_than_24_inches":"Greater than 24 inches","raceway_height_6":"6","raceway_height_8":"8","raceway_height_10":"10","raceway_height_12":"12","raceway_depth_2":"2","raceway_depth_3":"3","raceway_depth_4":"4","raceway_depth_5":"5","raceway_depth_6":"6","raceway_depth_7":"7","raceway_depth_8":"8","backboard_cabinet_depth_2":"2","backboard_cabinet_depth_3":"3","backboard_cabinet_depth_4":"4","backboard_cabinet_depth_5":"5","backboard_cabinet_depth_6":"6","backboard_cabinet_depth_7":"7","backboard_cabinet_depth_8":"8","material_aluminium":"Aluminium","material_stainless_steel":"Stainless Steel","application_exterior":"Exterior","application_interior":"Interior","ul_mandatory_yes":"Yes","ul_mandatory_no":"No","paint_finish_gloss_satin":"Gloss/Satin","paint_finish_matte":"Matte","neon_color_simple":"Simple","neon_color_rgb":"RGB","uv_printing_needed_yes":"Yes","uv_printing_needed_no":"No","trim_type_trimless":"Trimless","trim_type_with_trim":"With Trim","fabricated_finish_original_colors_matt":"Original Colors Matt","fabricated_finish_original_colors_gloss":"Original Colors Gloss","fabricated_finish_silver_mirror":"Silver Mirror","fabricated_finish_silver_brushed":"Silver Brushed","fabricated_finish_golden_mirror":"Golden Mirror","fabricated_finish_golden_brushed":"Golden Brushed","fabricated_finish_bronze_mirror":"Bronze Mirror","fabricated_finish_bronze_brushed":"Bronze Brushed","fabricated_finish_bronze_antique":"Bronze Antique","lightbox_type_light_box":"Lightbox","lightbox_type_cut_to_shape":"Cut to shape Lightbox","return_color_black":"Black","return_color_white":"White","return_color_blue":"Blue","return_color_brown":"Brown","return_color_yellow":"Yellow","return_color_teal":"Teal","return_color_orange":"Orange","return_color_golden_brushed":"Gold Brushed","return_color_match_logo":"Match Logo (Default)","shape_rectangular":"Rectangular","shape_cut_to_shape":"Cut to shape","shape_round":"Round"}},"timestamp":"2026-01-29 07:36:01"} 
[2026-01-29 07:36:01] local.INFO: Sign Type Lookup {"data":{"sign_type":"Fabricated Channel Letters - Non Illuminated","found":true,"sign_type_id":14},"timestamp":"2026-01-29 07:36:01"} 
[2026-01-29 07:36:01] local.INFO: USA Workshop Module Check {"data":{"sign_type_id":14,"has_module":true},"timestamp":"2026-01-29 07:36:01"} 
[2026-01-29 07:36:01] local.INFO: Initial Price Lookup {"data":{"shape":"rectangular","price_found":true},"timestamp":"2026-01-29 07:36:01"} 
[2026-01-29 07:36:01] local.INFO: USA Workshop Price Found {"data":{"base":"object","price_per_inch":5.0},"timestamp":"2026-01-29 07:36:01"} 
[2026-01-29 07:36:01] local.INFO: Calculating Production Cost (Object Base) {"data":[],"timestamp":"2026-01-29 07:36:01"} 
[2026-01-29 07:36:01] local.INFO: USA Workshop Calculation Completed {"data":{"production_cost":1255.35,"dimensions_count":23},"timestamp":"2026-01-29 07:36:01"} 
[2026-01-29 07:37:49] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth":3,"sign_type":"Halo Lit Channel Letters","mounting_type":"Flush/Stud mounted"}},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: API Input Data Collected {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth_or_thickness":"1","sign_type":"Halo Lit Channel Letters","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":null,"raceway_depth":null,"raceway_height":null,"width_of_line_1":null,"width_of_line_2":null,"width_of_line_3":null,"width_of_line_4":null,"height_of_line_1":null,"height_of_line_2":null,"height_of_line_3":null,"height_of_line_4":null,"backer_offset":null,"backboard_cabinet_depth":null,"no_of_letters":null,"perimeter_of_sign":null,"nested_area":null,"occupied_area":null,"avg_char_height":null,"width_of_sign":null,"width_of_smaller_line":null,"other_dimension_of_sign":null,"material":null,"application":null,"ul_mandatory":null,"paint_finish":null,"neon_color":null,"uv_printing_needed":null}},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Looking up SignType {"data":{"sign_type":"Halo Lit Channel Letters"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Retrieved Material Formulas {"data":{"sign_type_id":1,"formulas_count":38},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Retrieved Variables List {"data":{"sign_type_id":1,"variables_count":12},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Price Map Constructed {"data":{"price_map":{"material501803":3.6821,"weight_material501803":0.629,"material501880":2.4107,"weight_material501880":0.503,"material501060":2.2179,"weight_material501060":0.378,"material500730":2.7786,"weight_material500730":1.481,"material500591":0.9286,"weight_material500591":0.357,"material502525":3.2429,"weight_material502525":0.875,"material502468":0.3821,"weight_material502468":0.008,"material501842":0.7964,"weight_material501842":0.035,"material502204":15.2893,"weight_material502204":0.559,"material502203":25.32,"weight_material502203":0.739,"material502206":0.2786,"weight_material502206":0.054,"material166":2.3214,"weight_material166":0.28,"material167":5.1786,"weight_material167":0.38,"material168":12.0,"weight_material168":0.56,"material169":18.5714,"weight_material169":0.76,"material170":0.6071,"weight_material170":0.008,"material171":0.25,"weight_material171":0.008,"material500611":0.0062,"weight_material500611":6.2e-6,"material500214":0.0025,"weight_material500214":2.5e-6,"material501055":0.0155,"weight_material501055":1.55e-5,"material502098":0.0286,"weight_material502098":2.86e-5,"material502079":0.0163,"weight_material502079":1.63e-5,"material502350":0.0254,"weight_material502350":2.54e-5,"material501680":0.0076,"weight_material501680":7.6e-6,"material502131":0.0271,"weight_material502131":2.71e-5,"material800007":0.0,"weight_material800007":0,"material500379":0.132,"weight_material500379":0.09,"material500419":0.16,"weight_material500419":0.11,"material502106":0.13,"weight_material502106":0.16,"material502567":0.13,"weight_material502567":0.21,"material502564":0.18,"weight_material502564":0.35,"material500154":0.4,"weight_material500154":0.38,"material502074":0.8,"weight_material502074":1.0}},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Variables Price Constructed {"data":{"variables_price":{"variable2":1.1,"variable3":1.2,"variable8":0,"variable19":0,"variable20":0,"variable21":0,"variable22":0,"variable23":0.75,"variable24":0,"variable25":0,"variable26":0,"variable27":0}},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Final Variables Merged {"data":{"variables_count":190},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Initialized items collection {"data":{"count":0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Merged material items {"data":{"formulas_count":38,"items_count_after_merge":38},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Merged variable items {"data":{"variables_count":12,"items_count_after_merge":50},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Sorted items collection {"data":{"items_count":50,"first_item":{"type":"material","id":1,"expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, material501803 * nested_area * variable3 , 0)","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","var_name":"material501803","price":"3.6821","description":"Aluminium 10 G / 0.134 inch - Corrosion-resistant, and Durable for Sign Face.","sequence_no":1},"last_item":{"type":"variable","id":8,"expression":"totalCost * variable2","dense_weight_expression":"totalDenseWeight * 1.1","name":"Total Cost","var_name":"variable8","price":null,"description":null,"sequence_no":50}},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Initializing MathExecutor {"data":{"variables_count":190},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: MathExecutor variables set {"data":{"variables_count":190},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, material501803 * nested_area * variable3 , 0)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches, weight_material501880 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches , material501880 * nested_area * variable3 , 0)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, 0, weight_material501060 * ( sign_depth_or_thickness / 12 * perimeter_of_sign )  )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel , 0 , material501060 * variable3  * (sign_depth_or_thickness / 12 * perimeter_of_sign))","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, weight_material500730 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material  == material_stainless_steel , material500730 * nested_area  * variable3 , 0)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, weight_material500591 * ( sign_depth_or_thickness / 12 * perimeter_of_sign ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material  == material_stainless_steel , material500591 * (sign_depth_or_thickness / 12 * perimeter_of_sign) * variable3 , 0)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 8mm Matt 4 ft x 8 ft Pakistan","dense_weight_expression":"weight_material502525 * occupied_area","itemDenseWeight":0.0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 8mm Matt 4 ft x 8 ft Pakistan","expression":"material502525 * nested_area  * variable3","result":0.0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"LED Module 0.4W UL Cool White 10000K China","dense_weight_expression":"if(application == application_interior, 0, nested_area * 10 * weight_material502468 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"LED Module 0.4W UL Cool White 10000K China","expression":"if(application == application_interior , 0 , nested_area * 10 * material502468)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"LED Strip UL Cool White China","dense_weight_expression":"if(application == application_interior, if(ul_mandatory == ul_mandatory_yes, ( weight_material501842 / 3.2 ) * perimeter_of_sign, 0 ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"LED Strip UL Cool White China","expression":"if(application == application_interior , if( ul_mandatory == ul_mandatory_yes , ( material501842 / 3.2 ) * perimeter_of_sign , 0) , 0)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Power Supply 5A UL Certified IP68 Everylite China","dense_weight_expression":"if(application == application_interior && perimeter_of_sign / 3.2 <= 5, if(ul_mandatory == ul_mandatory_yes, weight_material502204 , if(ul_mandatory == ul_mandatory_no, 0, 0 )  ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 5A UL Certified IP68 Everylite China","expression":"if(

  application == application_interior && perimeter_of_sign / 3.2 <= 5,

  if(

    ul_mandatory == ul_mandatory_yes,

    material502204,

    if(ul_mandatory == ul_mandatory_no , 0, 0)

  ),

  0

)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Power Supply 5Amp. 60W UL Certified (Class-2) IP68 Everylite China","dense_weight_expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 5 && perimeter_of_sign / 3.2 <= 10, if(ul_mandatory == ul_mandatory_yes, weight_material502203 , 0 ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 5Amp. 60W UL Certified (Class-2) IP68 Everylite China","expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 5 && perimeter_of_sign / 3.2 <= 10, if(ul_mandatory  == ul_mandatory_yes , material502203 , 0), 0)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Power Supply 15A-10+5","dense_weight_expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 10 && perimeter_of_sign / 3.2 <= 15, if(ul_mandatory == ul_mandatory_yes, weight_material502204 * 2, 0 ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 15A-10+5","expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 10 && perimeter_of_sign / 3.2 <= 15, if(ul_mandatory == ul_mandatory_yes , material502204 + material502203, 0 ), 0 )","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Power Supply 20A-(10A+10A)","dense_weight_expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 15 && perimeter_of_sign / 3.2 <= 1500, if(ul_mandatory == ul_mandatory_yes, weight_material502203 * 2, 0 ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 20A-(10A+10A)","expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 15 && perimeter_of_sign / 3.2 <= 1500, if(ul_mandatory == ul_mandatory_yes , material502203 * 2, 0 ), 0 )","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Power Supply 5A UL Certified IP68 Everylite China","dense_weight_expression":"if(application == application_exterior && nested_area * 10 <= 70, weight_material502204 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 5A UL Certified IP68 Everylite China","expression":"if(application  == application_exterior && (nested_area  * 10)<= 70, material502204 , 0)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Power Supply 5Amp. 60W UL Certified (Class-2) IP68 Everylite China","dense_weight_expression":"if(application == application_exterior && nested_area * 10 > 70 && nested_area * 10 <= 140, weight_material502203 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 5Amp. 60W UL Certified (Class-2) IP68 Everylite China","expression":"if(application  == application_exterior && (nested_area * 10) > 70 && (nested_area * 10) <= 140, material502203 , 0)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Power Supply 15A-10+5","dense_weight_expression":"if(application == application_exterior && nested_area * 10 > 140 && nested_area * 10 <= 210, weight_material502204 * 2, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 15A-10+5","expression":"if(application == application_exterior && nested_area * 10 > 140 && nested_area * 10 <= 210,  material502204 + material502203 , 0 )","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Power Supply 20A-(10A+10A)","dense_weight_expression":"if(application == application_exterior && nested_area * 10 > 210 && nested_area * 10 <= 21000, weight_material502203 * 2, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 20A-(10A+10A)","expression":"if(application == application_exterior && nested_area * 10 > 210 && nested_area * 10 <= 21000, material502203 * 2, 0 )","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Wire 18g UL UL Certified Red & White China","dense_weight_expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no, 0, weight_material502206 * 2.5 * no_of_letters )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Wire 18g UL UL Certified Red & White China","expression":"if(application  == application_interior && ul_mandatory == ul_mandatory_no , 0, material502206 * 2.5 * no_of_letters)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Non UL 5A Power Supply","dense_weight_expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 <= 5, weight_material166 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Non UL 5A Power Supply","expression":"if(application  == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 <= 5, material166 , 0)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Non UL 10A Power Supply","dense_weight_expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 > 5 && perimeter_of_sign / 3.2 <= 10, weight_material167 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Non UL 10A Power Supply","expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 > 5 && perimeter_of_sign / 3.2 <= 10, material167 , 0)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Non UL 15A Power Supply","dense_weight_expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 > 10 && perimeter_of_sign / 3.2 <= 15, weight_material168 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Non UL 15A Power Supply","expression":"if( application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign  / 3.2 > 10 && perimeter_of_sign / 3.2 <= 15, material168 , 0)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Non UL 20A Power Supply","dense_weight_expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 > 15 && perimeter_of_sign / 3.2 <= 1500, weight_material169 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Non UL 20A Power Supply","expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign  / 3.2 > 15 && perimeter_of_sign / 3.2 <= 1500, material169 , 0)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Non UL LED strip","dense_weight_expression":"if(application == application_interior, if(ul_mandatory == ul_mandatory_no, ( weight_material170 / 3.2 ) * perimeter_of_sign, 0 ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Non UL LED strip","expression":"if(application == application_interior , if( ul_mandatory  == ul_mandatory_no , (material170 / 3.2) * perimeter_of_sign , 0), 0)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Non UL Wire","dense_weight_expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no, weight_material171 * 2.5 * no_of_letters, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Non UL Wire","expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no , material171 * 2.5 * no_of_letters , 0)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Epoxy Primer Pakistan","dense_weight_expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * weight_material500611","itemDenseWeight":0.0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Primer Pakistan","expression":"(((( occupied_area * 2 ) + ((( sign_depth_or_thickness / 12 ) * perimeter_of_sign  ) * 2 )) * 40.49 * 0.66 )) * material500611","result":0.0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Master Thinner Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * weight_material500214","itemDenseWeight":0.0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Master Thinner Pakistan","expression":"(( occupied_area  * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )) * 40.49 * 0.13 * material500214","result":0.0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Epoxy Hardner Master Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * weight_material501055","itemDenseWeight":0.0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Hardner Master Pakistan","expression":"(( occupied_area * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )) * 40.49 * 0.2 * material501055","result":0.0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * weight_material502098, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * material502098, 0 )","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * weight_material502079 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","expression":"if( paint_finish == paint_finish_matte , (( occupied_area * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )) * 22 * 0.234 * material502079 , 0 )","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502350 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if( paint_finish == paint_finish_matte , (( occupied_area * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign  ) * 2 )) * 22 * 0.21 * material502350 , 0)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * weight_material501680 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if( paint_finish == paint_finish_matte , (( occupied_area  * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign   ) * 2 )) * 22 * 0.12 * material501680 , 0 )","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * weight_material502098 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * material502098)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502131 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","expression":"if( paint_finish == paint_finish_matte , 0 , (( occupied_area * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )) * 22 * 0.21 * material502131)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * weight_material502350 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if( paint_finish == paint_finish_matte  , 0 , (( occupied_area * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign  ) * 2 )) * 22 * 0.3 * material502350)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * weight_material501680 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if( paint_finish == paint_finish_matte  , 0 , (( occupied_area * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )) *22 * 0.08 * material501680)","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Paint Miscellaneous [Fixed Cost]","expression":"0.2 * ( formula24 + formula25 + formula26 + formula27 + formula28 + formula29 + formula30 + formula31 + formula32 + formula33 + formula34 )","result":0.0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Packaging/Box Making","expression":"variable23 * nested_area","result":0.0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.ERROR: Error computing dense weight {"data":{"name":"Corrugated Sheet 5ply","dense_weight_expression":"if( ( width_of_sign > 0 || other_dimension_of_sign > 0 ) && width_of_sign <= 30 && other_dimension_of_sign <= 30, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt( nested_area )  ) * weight_material500379 , 0 )","error":""},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 5ply","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.ERROR: Error computing dense weight {"data":{"name":"Corrugated Sheet 7Ply","dense_weight_expression":"if( ( width_of_sign > 30 || other_dimension_of_sign > 30 ) && width_of_sign <= 50 && other_dimension_of_sign <= 50, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500419 , 0 )","error":""},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 7Ply","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.ERROR: Error computing dense weight {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight_expression":"if( ( width_of_sign > 50 || other_dimension_of_sign > 50 ) && width_of_sign <= 60 && other_dimension_of_sign <= 60, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material502106 , 0 )","error":""},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ) && width_of_sign <= 70 && other_dimension_of_sign <= 70, nested_area * 2 * weight_material502567 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight_expression":"if( ( width_of_sign > 70 || other_dimension_of_sign > 70 ) && width_of_sign <= 90 && other_dimension_of_sign <= 90, nested_area * 2 * weight_material502564, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight_expression":"if( ( width_of_sign > 90 || other_dimension_of_sign > 90 ), nested_area * weight_material500154 * 2, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Wood Lar 9''x132''","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ), 4 * sqrt(nested_area) * (  ( sign_depth_or_thickness + 2 ) / 12 ) * weight_material502074\t , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: No formula, default result applied {"data":{"name":"Wood Lar 9''x132''","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: No formula, default result applied {"data":{"name":"Miscalleneous (10%)","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: No formula, default result applied {"data":{"name":"Where Wastage magnification factor for Sheets consumption is taken as","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Flush/Stud mounted","expression":"if(mounting_type == mounting_type_flush_stud_mounted, 1, 0 )","result":"1"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Standard Raceway (6x2)","dense_weight_expression":"if(mounting_type == mounting_type_standard_raceway_6x2, (  (  (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_height * 2 ) + ( raceway_height * raceway_depth * 2 ) + (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_depth * 2 )  ) / 144 ) * weight_material501803 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Standard Raceway (6x2)","expression":"if(mounting_type == mounting_type_standard_raceway_6x2, variable3 * ( material501803 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  ) + 2.7 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Flat Backer (2mm)","dense_weight_expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) / 144 * weight_material501803, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Flat Backer (2mm)","expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, variable3 * ( material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + 2.7 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Dense weight computed {"data":{"name":"Backerboard Cabinet (2\")","dense_weight_expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, (  ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  ) + ( 2 * (  ( other_dimension_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  )  ) / 144 * weight_material501803, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula executed successfully {"data":{"name":"Backerboard Cabinet (2\")","expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, variable3 * (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * material501803 / 144 + (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * 2.7 / 144 ), 0 )","result":"0"},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Total Cost formula detected {"data":{"item_id":8},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Formula calculations completed {"data":{"total_items":50,"successful_calculations":49,"errors_count":0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Summed initial totals {"data":{"totalCost_before_formula":1.0,"totalDenseWeight_before_formula":0.0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Total Cost formula executed {"data":{"formula":"totalCost * variable2","computed_totalCost":1.1},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Total Dense Weight formula executed {"data":{"formula":"totalDenseWeight * 1.1","computed_totalDenseWeight":0.0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Total Cost result added to calculationsResults {"data":{"variable_id":8,"result":1.1,"dense_weight_expression":0.0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:37:49] local.INFO: Preparing boxes for bin packing {"data":{"sign_type":"Halo Lit Channel Letters","objects_count":0,"totalDenseWeight":0.0},"timestamp":"2026-01-29 07:37:49"} 
[2026-01-29 07:38:17] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth":3,"sign_type":"Halo Lit Channel Letters","mounting_type":"Flush/Stud mounted"}},"timestamp":"2026-01-29 07:38:17"} 
[2026-01-29 07:41:44] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth":3,"sign_type":"Halo Lit Channel Letters","mounting_type":"Flush/Stud mounted"}},"timestamp":"2026-01-29 07:41:44"} 
[2026-01-29 07:41:49] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth":null,"sign_type":"Halo Lit Channel Letters","mounting_type":"Flush/Stud mounted"}},"timestamp":"2026-01-29 07:41:49"} 
[2026-01-29 07:42:15] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth":null,"sign_type":"Halo Lit Channel Letters","mounting_type":"Flush/Stud mounted"}},"timestamp":"2026-01-29 07:42:15"} 
[2026-01-29 07:43:14] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth":null,"sign_type":"Halo Lit Channel Letters","mounting_type":"Flush/Stud mounted"}},"timestamp":"2026-01-29 07:43:14"} 
[2026-01-29 07:43:24] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth":3,"sign_type":"Halo Lit Channel Letters","mounting_type":"Flush/Stud mounted"}},"timestamp":"2026-01-29 07:43:24"} 
[2026-01-29 07:43:28] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth":1,"sign_type":"Halo Lit Channel Letters","mounting_type":"Flush/Stud mounted"}},"timestamp":"2026-01-29 07:43:28"} 
[2026-01-29 07:43:39] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth":1,"sign_type":"Neon Sign","mounting_type":"Flush/Stud mounted"}},"timestamp":"2026-01-29 07:43:39"} 
[2026-01-29 07:43:48] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth":null,"sign_type":"Neon Sign","mounting_type":"Flush/Stud mounted"}},"timestamp":"2026-01-29 07:43:48"} 
[2026-01-29 07:45:27] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth":null,"sign_type":"Neon Sign","mounting_type":"Flush/Stud mounted"}},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: API Input Data Collected {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth_or_thickness":"0.25","sign_type":"Neon Sign","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":null,"raceway_depth":null,"raceway_height":null,"width_of_line_1":null,"width_of_line_2":null,"width_of_line_3":null,"width_of_line_4":null,"height_of_line_1":null,"height_of_line_2":null,"height_of_line_3":null,"height_of_line_4":null,"backer_offset":null,"backboard_cabinet_depth":null,"no_of_letters":null,"perimeter_of_sign":null,"nested_area":null,"occupied_area":null,"avg_char_height":null,"width_of_sign":null,"width_of_smaller_line":null,"other_dimension_of_sign":null,"material":null,"application":null,"ul_mandatory":null,"paint_finish":null,"neon_color":null,"uv_printing_needed":null}},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Looking up SignType {"data":{"sign_type":"Neon Sign"},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Retrieved Material Formulas {"data":{"sign_type_id":17,"formulas_count":1},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Retrieved Variables List {"data":{"sign_type_id":17,"variables_count":5},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Price Map Constructed {"data":{"price_map":{"material502204":15.2893,"weight_material502204":0.559}},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Variables Price Constructed {"data":{"variables_price":{"variable107":0,"variable108":0,"variable109":0.75,"variable110":0,"variable111":0}},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Final Variables Merged {"data":{"variables_count":119},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Initialized items collection {"data":{"count":0},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Merged material items {"data":{"formulas_count":1,"items_count_after_merge":1},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Merged variable items {"data":{"variables_count":5,"items_count_after_merge":6},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Sorted items collection {"data":{"items_count":6,"first_item":{"type":"variable","id":107,"expression":"if(neon_color == neon_color_rgb, 4, 0 )","dense_weight_expression":null,"name":"X","var_name":"variable107","price":null,"description":"Transparent Acrylic 1/4\" Base – Clear cast acrylic, smooth edges, suitable for UV printing and laser cutting.","sequence_no":1},"last_item":{"type":"variable","id":111,"expression":"(  ( width_of_sign + 3 ) * ( other_dimension_of_sign + 1 ) * 1.75 * 16.4 ) / 5000","dense_weight_expression":null,"name":"Shipping Weight (kg)","var_name":"variable111","price":null,"description":"Mounting Hardware - Metallic spacers (½\"–1\") or metallic aircraft cable kit for sign mounting","sequence_no":6}},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Initializing MathExecutor {"data":{"variables_count":119},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: MathExecutor variables set {"data":{"variables_count":119},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Formula executed successfully {"data":{"name":"X","expression":"if(neon_color == neon_color_rgb, 4, 0 )","result":"0"},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Formula executed successfully {"data":{"name":"Y","expression":"if(application == application_exterior, 4, 0 )","result":"0"},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Formula executed successfully {"data":{"name":"UV Printing (U)","expression":"if(uv_printing_needed ==  uv_printing_needed_yes, 

if( width_of_sign * other_dimension_of_sign / 144 > 10,  

width_of_sign * other_dimension_of_sign / 144 , 

10 ), 

0 )","result":"0"},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 5A UL Certified IP68 Everylite China","expression":"if(application == application_exterior, material502204 , 0 )","result":"0"},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Formula executed successfully {"data":{"name":"Total Production Cost","expression":"if( ( perimeter_of_sign / 3.28 / 2 ) * ( 9 + var_formula107 + var_formula108  + formula352 ) + var_formula109 > 15, ( perimeter_of_sign / 3.28 / 2 ) * ( 9 + var_formula107 + var_formula108 + formula352 ) + var_formula109 , 15 )","result":"15"},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Formula executed successfully {"data":{"name":"Shipping Weight (kg)","expression":"(  ( width_of_sign + 3 ) * ( other_dimension_of_sign + 1 ) * 1.75 * 16.4 ) / 5000","result":0.01722},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Formula calculations completed {"data":{"total_items":6,"successful_calculations":6,"errors_count":0},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Summed initial totals {"data":{"totalCost_before_formula":15.01722,"totalDenseWeight_before_formula":0},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Preparing boxes for bin packing {"data":{"sign_type":"Neon Sign","objects_count":0,"totalDenseWeight":0},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:27] local.INFO: Neon sign box added {"data":{"box":{"size":{"length":1.75,"width":3,"height":1},"quantity":1,"denseWeight":1}},"timestamp":"2026-01-29 07:45:27"} 
[2026-01-29 07:45:28] local.INFO: Shipping rates calculated {"data":{"boxes":[{"size":{"length":1.75,"width":3,"height":1},"quantity":1,"denseWeight":1}],"cheapestShippingCost":17.52,"rawShippingRates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":1.75,"width":3,"height":1},"denseWeight":1,"volumetricWeight":0.5,"higherWeight":1,"quantity":1}],"totalHigherWeight":1,"DS":1.6,"rate":"23.28","tariffAndDS":24.880000000000003,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":37.446887999999994,"totalShipmentCostFormula":"((tariffAndDS (24.88) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 37.45","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":1.75,"width":3,"height":1},"denseWeight":1,"volumetricWeight":0.5,"higherWeight":1,"quantity":1}],"totalHigherWeight":1,"DS":1.6,"rate":"30.99","tariffAndDS":32.589999999999996,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":49.051208999999986,"totalShipmentCostFormula":"((tariffAndDS (32.59) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 49.05","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":1.75,"width":3,"height":1},"denseWeight":1,"volumetricWeight":0.5,"higherWeight":1,"quantity":1}],"totalHigherWeight":1,"DS":1,"rate":"27.61","tariffAndDS":28.61,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":43.97356999999999,"totalShipmentCostFormula":"(( tariffAndDS (28.61) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 43.97357","warnings":[]},{"career":"fedex_flyer","boxWeights":[{"size":{"length":1.75,"width":3,"height":1},"denseWeight":1,"volumetricWeight":0.5,"higherWeight":1,"quantity":1}],"totalHigherWeight":1,"DS":1,"rate":"20.59","tariffAndDS":21.59,"fuelSurcharge":"0.3100","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":32.808164,"totalShipmentCostFormula":"((tariffAndDS (21.59) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3100)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 32.808164"},{"career":"dhl_usa","boxWeights":[{"size":{"length":1.75,"width":3,"height":1},"denseWeight":1,"volumetricWeight":0.5,"higherWeight":1,"quantity":1}],"totalHigherWeight":1,"DS":1.6,"rate":"46.48","tariffAndDS":48.08,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":48.08,"totalShipmentCostFormula":"(((tariffAndDS (48.08) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 48.08","warnings":[]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":1.75,"width":3,"height":1},"denseWeight":1,"volumetricWeight":0.5,"higherWeight":1,"quantity":1}],"totalHigherWeight":1,"DS":0,"rate":"19.83","tariffAndDS":19.83,"fuelSurcharge":"0.3025","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":32.002861249999995,"totalShipmentCostFormula":"(((tariffAndDS (19.83) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3025)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 32.00286125","warnings":[]},{"career":"sea_mode_oa","boxWeights":[{"size":{"length":1.75,"width":3,"height":1},"denseWeight":1,"volumetricWeight":0.5,"higherWeight":1,"quantity":1}],"totalHigherWeight":1,"DS":0,"rate":"17.52","tariffAndDS":17.52,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":17.52,"totalShipmentCostFormula":"((tariffAndDS (17.52) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 17.52"},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":1.75,"width":3,"height":1},"denseWeight":1,"volumetricWeight":0.5,"higherWeight":1,"quantity":1}],"totalHigherWeight":1,"DS":0,"rate":460,"tariffAndDS":460,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":460,"totalShipmentCostFormula":"((tariffAndDS (460) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 460"}]}},"timestamp":"2026-01-29 07:45:28"} 
[2026-01-29 07:45:28] local.INFO: Product cost factor determined {"data":{"sign_type":"Neon Sign","productCostFactor":1.66},"timestamp":"2026-01-29 07:45:28"} 
[2026-01-29 07:45:28] local.INFO: Final Neon Sign Calculation Response {"data":{"sign_width":null,"sign_height":null,"sign_depth":"0.25","sign_type":"Neon Sign","processed_sign_type":"Neon Sign","sideViewImage":"https://api.signize.ai/mockups/flush-stud/flush-stud-neon-sign.png","mounting_type":"","combined_production_cost_usd":null,"total_production_cost":20.0,"totalDenseWeight":0,"totalVolumetricWeight":0.5,"bin_packing_result":[],"shipping_rates":{"data":[{"career":"dhl_small","boxWeights":[{"size":{"length":1.75,"width":3,"height":1},"denseWeight":1,"volumetricWeight":0.5,"higherWeight":1,"quantity":1}],"totalHigherWeight":1,"DS":1.6,"rate":"23.28","tariffAndDS":24.880000000000003,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":37.446887999999994,"totalShipmentCostFormula":"((tariffAndDS (24.88) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 37.45","warnings":[]},{"career":"dhl_heavy","boxWeights":[{"size":{"length":1.75,"width":3,"height":1},"denseWeight":1,"volumetricWeight":0.5,"higherWeight":1,"quantity":1}],"totalHigherWeight":1,"DS":1.6,"rate":"30.99","tariffAndDS":32.589999999999996,"fuelSurcharge":"0.2975","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":49.051208999999986,"totalShipmentCostFormula":"((tariffAndDS (32.59) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.2975)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 49.05","warnings":[]},{"career":"fedex","boxWeights":[{"size":{"length":1.75,"width":3,"height":1},"denseWeight":1,"volumetricWeight":0.5,"higherWeight":1,"quantity":1}],"totalHigherWeight":1,"DS":1,"rate":"27.61","tariffAndDS":28.61,"fuelSurcharge":"0.3250","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":43.97356999999999,"totalShipmentCostFormula":"(( tariffAndDS (28.61) + overlengthSurcharge (0) + overweightSurcharge (0) ) * ( 1 + fuelSurcharge (0.3250)) * ( 1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 43.97357","warnings":[]},{"career":"fedex_flyer","boxWeights":[{"size":{"length":1.75,"width":3,"height":1},"denseWeight":1,"volumetricWeight":0.5,"higherWeight":1,"quantity":1}],"totalHigherWeight":1,"DS":1,"rate":"20.59","tariffAndDS":21.59,"fuelSurcharge":"0.3100","gst":"0.1600","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":32.808164,"totalShipmentCostFormula":"((tariffAndDS (21.59) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3100)) * (1 + gst (0.1600))) + DdpService (0) + isRemotePrice (0) = 32.808164"},{"career":"dhl_usa","boxWeights":[{"size":{"length":1.75,"width":3,"height":1},"denseWeight":1,"volumetricWeight":0.5,"higherWeight":1,"quantity":1}],"totalHigherWeight":1,"DS":1.6,"rate":"46.48","tariffAndDS":48.08,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":48.08,"totalShipmentCostFormula":"(((tariffAndDS (48.08) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000))) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 48.08","warnings":[]},{"career":"ups_karachi_frontend","boxWeights":[{"size":{"length":1.75,"width":3,"height":1},"denseWeight":1,"volumetricWeight":0.5,"higherWeight":1,"quantity":1}],"totalHigherWeight":1,"DS":0,"rate":"19.83","tariffAndDS":19.83,"fuelSurcharge":"0.3025","gst":"0.1500","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":32.002861249999995,"totalShipmentCostFormula":"(((tariffAndDS (19.83) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.3025)) + 2) * (1 + gst (0.1500))) + DdpService (0) + isRemotePrice (0) = 32.00286125","warnings":[]},{"career":"sea_mode_oa","boxWeights":[{"size":{"length":1.75,"width":3,"height":1},"denseWeight":1,"volumetricWeight":0.5,"higherWeight":1,"quantity":1}],"totalHigherWeight":1,"DS":0,"rate":"17.52","tariffAndDS":17.52,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":17.52,"totalShipmentCostFormula":"((tariffAndDS (17.52) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 17.52"},{"career":"sea_mode_ob","boxWeights":[{"size":{"length":1.75,"width":3,"height":1},"denseWeight":1,"volumetricWeight":0.5,"higherWeight":1,"quantity":1}],"totalHigherWeight":1,"DS":0,"rate":460,"tariffAndDS":460,"fuelSurcharge":"0.0000","gst":"0.0000","DdpService":0,"overweightSurcharge":0,"overlengthSurcharge":0,"isRemotePrice":0,"totalShipmentCost":460,"totalShipmentCostFormula":"((tariffAndDS (460) + overlengthSurcharge (0) + overweightSurcharge (0)) * (1 + fuelSurcharge (0.0000)) * (1 + gst (0.0000))) + DdpService (0) + isRemotePrice (0) = 460"}]},"cheapest_shipping_cost_usd":20.0,"totalCost":40.0,"productionResults":null,"productionError":null,"request":{"sign_width_or_height":120,"sign_depth_or_thickness":"0.25","sign_type":"Neon Sign","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":null,"raceway_depth":null,"raceway_height":null,"width_of_line_1":null,"width_of_line_2":null,"width_of_line_3":null,"width_of_line_4":null,"height_of_line_1":null,"height_of_line_2":null,"height_of_line_3":null,"height_of_line_4":null,"backer_offset":null,"backboard_cabinet_depth":null,"no_of_letters":null,"perimeter_of_sign":null,"nested_area":null,"occupied_area":null,"avg_char_height":null,"width_of_sign":null,"width_of_smaller_line":null,"other_dimension_of_sign":null,"material":null,"application":null,"ul_mandatory":null,"paint_finish":null,"neon_color":null,"uv_printing_needed":null},"TATDays":10,"testDenseWeight":0},"timestamp":"2026-01-29 07:45:28"} 
[2026-01-29 07:45:28] local.INFO: API Epic Craftings Calculation Ended ======================================================================================================== {"data":null,"timestamp":"2026-01-29 07:45:28"} 
[2026-01-29 07:45:49] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth":null,"sign_type":"Halo Lit Channel Letters","mounting_type":"Flush/Stud mounted"}},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: API Input Data Collected {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth_or_thickness":"1","sign_type":"Halo Lit Channel Letters","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":null,"raceway_depth":null,"raceway_height":null,"width_of_line_1":null,"width_of_line_2":null,"width_of_line_3":null,"width_of_line_4":null,"height_of_line_1":null,"height_of_line_2":null,"height_of_line_3":null,"height_of_line_4":null,"backer_offset":null,"backboard_cabinet_depth":null,"no_of_letters":null,"perimeter_of_sign":null,"nested_area":null,"occupied_area":null,"avg_char_height":null,"width_of_sign":null,"width_of_smaller_line":null,"other_dimension_of_sign":null,"material":null,"application":null,"ul_mandatory":null,"paint_finish":null,"neon_color":null,"uv_printing_needed":null}},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Looking up SignType {"data":{"sign_type":"Halo Lit Channel Letters"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Retrieved Material Formulas {"data":{"sign_type_id":1,"formulas_count":38},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Retrieved Variables List {"data":{"sign_type_id":1,"variables_count":12},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Price Map Constructed {"data":{"price_map":{"material501803":3.6821,"weight_material501803":0.629,"material501880":2.4107,"weight_material501880":0.503,"material501060":2.2179,"weight_material501060":0.378,"material500730":2.7786,"weight_material500730":1.481,"material500591":0.9286,"weight_material500591":0.357,"material502525":3.2429,"weight_material502525":0.875,"material502468":0.3821,"weight_material502468":0.008,"material501842":0.7964,"weight_material501842":0.035,"material502204":15.2893,"weight_material502204":0.559,"material502203":25.32,"weight_material502203":0.739,"material502206":0.2786,"weight_material502206":0.054,"material166":2.3214,"weight_material166":0.28,"material167":5.1786,"weight_material167":0.38,"material168":12.0,"weight_material168":0.56,"material169":18.5714,"weight_material169":0.76,"material170":0.6071,"weight_material170":0.008,"material171":0.25,"weight_material171":0.008,"material500611":0.0062,"weight_material500611":6.2e-6,"material500214":0.0025,"weight_material500214":2.5e-6,"material501055":0.0155,"weight_material501055":1.55e-5,"material502098":0.0286,"weight_material502098":2.86e-5,"material502079":0.0163,"weight_material502079":1.63e-5,"material502350":0.0254,"weight_material502350":2.54e-5,"material501680":0.0076,"weight_material501680":7.6e-6,"material502131":0.0271,"weight_material502131":2.71e-5,"material800007":0.0,"weight_material800007":0,"material500379":0.132,"weight_material500379":0.09,"material500419":0.16,"weight_material500419":0.11,"material502106":0.13,"weight_material502106":0.16,"material502567":0.13,"weight_material502567":0.21,"material502564":0.18,"weight_material502564":0.35,"material500154":0.4,"weight_material500154":0.38,"material502074":0.8,"weight_material502074":1.0}},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Variables Price Constructed {"data":{"variables_price":{"variable2":1.1,"variable3":1.2,"variable8":0,"variable19":0,"variable20":0,"variable21":0,"variable22":0,"variable23":0.75,"variable24":0,"variable25":0,"variable26":0,"variable27":0}},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Final Variables Merged {"data":{"variables_count":190},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Initialized items collection {"data":{"count":0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Merged material items {"data":{"formulas_count":38,"items_count_after_merge":38},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Merged variable items {"data":{"variables_count":12,"items_count_after_merge":50},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Sorted items collection {"data":{"items_count":50,"first_item":{"type":"material","id":1,"expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, material501803 * nested_area * variable3 , 0)","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","var_name":"material501803","price":"3.6821","description":"Aluminium 10 G / 0.134 inch - Corrosion-resistant, and Durable for Sign Face.","sequence_no":1},"last_item":{"type":"variable","id":8,"expression":"totalCost * variable2","dense_weight_expression":"totalDenseWeight * 1.1","name":"Total Cost","var_name":"variable8","price":null,"description":null,"sequence_no":50}},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Initializing MathExecutor {"data":{"variables_count":190},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: MathExecutor variables set {"data":{"variables_count":190},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, material501803 * nested_area * variable3 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches, weight_material501880 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches , material501880 * nested_area * variable3 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, 0, weight_material501060 * ( sign_depth_or_thickness / 12 * perimeter_of_sign )  )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel , 0 , material501060 * variable3  * (sign_depth_or_thickness / 12 * perimeter_of_sign))","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, weight_material500730 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material  == material_stainless_steel , material500730 * nested_area  * variable3 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, weight_material500591 * ( sign_depth_or_thickness / 12 * perimeter_of_sign ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material  == material_stainless_steel , material500591 * (sign_depth_or_thickness / 12 * perimeter_of_sign) * variable3 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 8mm Matt 4 ft x 8 ft Pakistan","dense_weight_expression":"weight_material502525 * occupied_area","itemDenseWeight":0.0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 8mm Matt 4 ft x 8 ft Pakistan","expression":"material502525 * nested_area  * variable3","result":0.0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"LED Module 0.4W UL Cool White 10000K China","dense_weight_expression":"if(application == application_interior, 0, nested_area * 10 * weight_material502468 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"LED Module 0.4W UL Cool White 10000K China","expression":"if(application == application_interior , 0 , nested_area * 10 * material502468)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"LED Strip UL Cool White China","dense_weight_expression":"if(application == application_interior, if(ul_mandatory == ul_mandatory_yes, ( weight_material501842 / 3.2 ) * perimeter_of_sign, 0 ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"LED Strip UL Cool White China","expression":"if(application == application_interior , if( ul_mandatory == ul_mandatory_yes , ( material501842 / 3.2 ) * perimeter_of_sign , 0) , 0)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Power Supply 5A UL Certified IP68 Everylite China","dense_weight_expression":"if(application == application_interior && perimeter_of_sign / 3.2 <= 5, if(ul_mandatory == ul_mandatory_yes, weight_material502204 , if(ul_mandatory == ul_mandatory_no, 0, 0 )  ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 5A UL Certified IP68 Everylite China","expression":"if(

  application == application_interior && perimeter_of_sign / 3.2 <= 5,

  if(

    ul_mandatory == ul_mandatory_yes,

    material502204,

    if(ul_mandatory == ul_mandatory_no , 0, 0)

  ),

  0

)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Power Supply 5Amp. 60W UL Certified (Class-2) IP68 Everylite China","dense_weight_expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 5 && perimeter_of_sign / 3.2 <= 10, if(ul_mandatory == ul_mandatory_yes, weight_material502203 , 0 ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 5Amp. 60W UL Certified (Class-2) IP68 Everylite China","expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 5 && perimeter_of_sign / 3.2 <= 10, if(ul_mandatory  == ul_mandatory_yes , material502203 , 0), 0)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Power Supply 15A-10+5","dense_weight_expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 10 && perimeter_of_sign / 3.2 <= 15, if(ul_mandatory == ul_mandatory_yes, weight_material502204 * 2, 0 ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 15A-10+5","expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 10 && perimeter_of_sign / 3.2 <= 15, if(ul_mandatory == ul_mandatory_yes , material502204 + material502203, 0 ), 0 )","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Power Supply 20A-(10A+10A)","dense_weight_expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 15 && perimeter_of_sign / 3.2 <= 1500, if(ul_mandatory == ul_mandatory_yes, weight_material502203 * 2, 0 ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 20A-(10A+10A)","expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 15 && perimeter_of_sign / 3.2 <= 1500, if(ul_mandatory == ul_mandatory_yes , material502203 * 2, 0 ), 0 )","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Power Supply 5A UL Certified IP68 Everylite China","dense_weight_expression":"if(application == application_exterior && nested_area * 10 <= 70, weight_material502204 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 5A UL Certified IP68 Everylite China","expression":"if(application  == application_exterior && (nested_area  * 10)<= 70, material502204 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Power Supply 5Amp. 60W UL Certified (Class-2) IP68 Everylite China","dense_weight_expression":"if(application == application_exterior && nested_area * 10 > 70 && nested_area * 10 <= 140, weight_material502203 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 5Amp. 60W UL Certified (Class-2) IP68 Everylite China","expression":"if(application  == application_exterior && (nested_area * 10) > 70 && (nested_area * 10) <= 140, material502203 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Power Supply 15A-10+5","dense_weight_expression":"if(application == application_exterior && nested_area * 10 > 140 && nested_area * 10 <= 210, weight_material502204 * 2, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 15A-10+5","expression":"if(application == application_exterior && nested_area * 10 > 140 && nested_area * 10 <= 210,  material502204 + material502203 , 0 )","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Power Supply 20A-(10A+10A)","dense_weight_expression":"if(application == application_exterior && nested_area * 10 > 210 && nested_area * 10 <= 21000, weight_material502203 * 2, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 20A-(10A+10A)","expression":"if(application == application_exterior && nested_area * 10 > 210 && nested_area * 10 <= 21000, material502203 * 2, 0 )","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Wire 18g UL UL Certified Red & White China","dense_weight_expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no, 0, weight_material502206 * 2.5 * no_of_letters )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Wire 18g UL UL Certified Red & White China","expression":"if(application  == application_interior && ul_mandatory == ul_mandatory_no , 0, material502206 * 2.5 * no_of_letters)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Non UL 5A Power Supply","dense_weight_expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 <= 5, weight_material166 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Non UL 5A Power Supply","expression":"if(application  == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 <= 5, material166 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Non UL 10A Power Supply","dense_weight_expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 > 5 && perimeter_of_sign / 3.2 <= 10, weight_material167 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Non UL 10A Power Supply","expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 > 5 && perimeter_of_sign / 3.2 <= 10, material167 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Non UL 15A Power Supply","dense_weight_expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 > 10 && perimeter_of_sign / 3.2 <= 15, weight_material168 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Non UL 15A Power Supply","expression":"if( application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign  / 3.2 > 10 && perimeter_of_sign / 3.2 <= 15, material168 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Non UL 20A Power Supply","dense_weight_expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 > 15 && perimeter_of_sign / 3.2 <= 1500, weight_material169 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Non UL 20A Power Supply","expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign  / 3.2 > 15 && perimeter_of_sign / 3.2 <= 1500, material169 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Non UL LED strip","dense_weight_expression":"if(application == application_interior, if(ul_mandatory == ul_mandatory_no, ( weight_material170 / 3.2 ) * perimeter_of_sign, 0 ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Non UL LED strip","expression":"if(application == application_interior , if( ul_mandatory  == ul_mandatory_no , (material170 / 3.2) * perimeter_of_sign , 0), 0)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Non UL Wire","dense_weight_expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no, weight_material171 * 2.5 * no_of_letters, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Non UL Wire","expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no , material171 * 2.5 * no_of_letters , 0)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Epoxy Primer Pakistan","dense_weight_expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * weight_material500611","itemDenseWeight":0.0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Primer Pakistan","expression":"(((( occupied_area * 2 ) + ((( sign_depth_or_thickness / 12 ) * perimeter_of_sign  ) * 2 )) * 40.49 * 0.66 )) * material500611","result":0.0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Master Thinner Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * weight_material500214","itemDenseWeight":0.0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Master Thinner Pakistan","expression":"(( occupied_area  * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )) * 40.49 * 0.13 * material500214","result":0.0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Epoxy Hardner Master Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * weight_material501055","itemDenseWeight":0.0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Hardner Master Pakistan","expression":"(( occupied_area * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )) * 40.49 * 0.2 * material501055","result":0.0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * weight_material502098, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * material502098, 0 )","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * weight_material502079 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","expression":"if( paint_finish == paint_finish_matte , (( occupied_area * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )) * 22 * 0.234 * material502079 , 0 )","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502350 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if( paint_finish == paint_finish_matte , (( occupied_area * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign  ) * 2 )) * 22 * 0.21 * material502350 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * weight_material501680 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if( paint_finish == paint_finish_matte , (( occupied_area  * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign   ) * 2 )) * 22 * 0.12 * material501680 , 0 )","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * weight_material502098 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * material502098)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502131 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","expression":"if( paint_finish == paint_finish_matte , 0 , (( occupied_area * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )) * 22 * 0.21 * material502131)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * weight_material502350 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if( paint_finish == paint_finish_matte  , 0 , (( occupied_area * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign  ) * 2 )) * 22 * 0.3 * material502350)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * weight_material501680 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if( paint_finish == paint_finish_matte  , 0 , (( occupied_area * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )) *22 * 0.08 * material501680)","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Paint Miscellaneous [Fixed Cost]","expression":"0.2 * ( formula24 + formula25 + formula26 + formula27 + formula28 + formula29 + formula30 + formula31 + formula32 + formula33 + formula34 )","result":0.0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Packaging/Box Making","expression":"variable23 * nested_area","result":0.0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.ERROR: Error computing dense weight {"data":{"name":"Corrugated Sheet 5ply","dense_weight_expression":"if( ( width_of_sign > 0 || other_dimension_of_sign > 0 ) && width_of_sign <= 30 && other_dimension_of_sign <= 30, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt( nested_area )  ) * weight_material500379 , 0 )","error":""},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 5ply","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.ERROR: Error computing dense weight {"data":{"name":"Corrugated Sheet 7Ply","dense_weight_expression":"if( ( width_of_sign > 30 || other_dimension_of_sign > 30 ) && width_of_sign <= 50 && other_dimension_of_sign <= 50, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500419 , 0 )","error":""},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 7Ply","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.ERROR: Error computing dense weight {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight_expression":"if( ( width_of_sign > 50 || other_dimension_of_sign > 50 ) && width_of_sign <= 60 && other_dimension_of_sign <= 60, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material502106 , 0 )","error":""},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ) && width_of_sign <= 70 && other_dimension_of_sign <= 70, nested_area * 2 * weight_material502567 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight_expression":"if( ( width_of_sign > 70 || other_dimension_of_sign > 70 ) && width_of_sign <= 90 && other_dimension_of_sign <= 90, nested_area * 2 * weight_material502564, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight_expression":"if( ( width_of_sign > 90 || other_dimension_of_sign > 90 ), nested_area * weight_material500154 * 2, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Wood Lar 9''x132''","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ), 4 * sqrt(nested_area) * (  ( sign_depth_or_thickness + 2 ) / 12 ) * weight_material502074\t , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: No formula, default result applied {"data":{"name":"Wood Lar 9''x132''","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: No formula, default result applied {"data":{"name":"Miscalleneous (10%)","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: No formula, default result applied {"data":{"name":"Where Wastage magnification factor for Sheets consumption is taken as","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Flush/Stud mounted","expression":"if(mounting_type == mounting_type_flush_stud_mounted, 1, 0 )","result":"1"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Standard Raceway (6x2)","dense_weight_expression":"if(mounting_type == mounting_type_standard_raceway_6x2, (  (  (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_height * 2 ) + ( raceway_height * raceway_depth * 2 ) + (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_depth * 2 )  ) / 144 ) * weight_material501803 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Standard Raceway (6x2)","expression":"if(mounting_type == mounting_type_standard_raceway_6x2, variable3 * ( material501803 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  ) + 2.7 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Flat Backer (2mm)","dense_weight_expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) / 144 * weight_material501803, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Flat Backer (2mm)","expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, variable3 * ( material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + 2.7 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Dense weight computed {"data":{"name":"Backerboard Cabinet (2\")","dense_weight_expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, (  ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  ) + ( 2 * (  ( other_dimension_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  )  ) / 144 * weight_material501803, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula executed successfully {"data":{"name":"Backerboard Cabinet (2\")","expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, variable3 * (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * material501803 / 144 + (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * 2.7 / 144 ), 0 )","result":"0"},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Total Cost formula detected {"data":{"item_id":8},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Formula calculations completed {"data":{"total_items":50,"successful_calculations":49,"errors_count":0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Summed initial totals {"data":{"totalCost_before_formula":1.0,"totalDenseWeight_before_formula":0.0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Total Cost formula executed {"data":{"formula":"totalCost * variable2","computed_totalCost":1.1},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Total Dense Weight formula executed {"data":{"formula":"totalDenseWeight * 1.1","computed_totalDenseWeight":0.0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Total Cost result added to calculationsResults {"data":{"variable_id":8,"result":1.1,"dense_weight_expression":0.0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:49] local.INFO: Preparing boxes for bin packing {"data":{"sign_type":"Halo Lit Channel Letters","objects_count":0,"totalDenseWeight":0.0},"timestamp":"2026-01-29 07:45:49"} 
[2026-01-29 07:45:56] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth":5,"sign_type":"Halo Lit Channel Letters","mounting_type":"Flush/Stud mounted"}},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: API Input Data Collected {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth_or_thickness":5,"sign_type":"Halo Lit Channel Letters","mounting_type":"Flush/Stud mounted","profit_factor":1,"no_of_lines":null,"raceway_depth":null,"raceway_height":null,"width_of_line_1":null,"width_of_line_2":null,"width_of_line_3":null,"width_of_line_4":null,"height_of_line_1":null,"height_of_line_2":null,"height_of_line_3":null,"height_of_line_4":null,"backer_offset":null,"backboard_cabinet_depth":null,"no_of_letters":null,"perimeter_of_sign":null,"nested_area":null,"occupied_area":null,"avg_char_height":null,"width_of_sign":null,"width_of_smaller_line":null,"other_dimension_of_sign":null,"material":null,"application":null,"ul_mandatory":null,"paint_finish":null,"neon_color":null,"uv_printing_needed":null}},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Looking up SignType {"data":{"sign_type":"Halo Lit Channel Letters"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Retrieved Material Formulas {"data":{"sign_type_id":1,"formulas_count":38},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Retrieved Variables List {"data":{"sign_type_id":1,"variables_count":12},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Price Map Constructed {"data":{"price_map":{"material501803":3.6821,"weight_material501803":0.629,"material501880":2.4107,"weight_material501880":0.503,"material501060":2.2179,"weight_material501060":0.378,"material500730":2.7786,"weight_material500730":1.481,"material500591":0.9286,"weight_material500591":0.357,"material502525":3.2429,"weight_material502525":0.875,"material502468":0.3821,"weight_material502468":0.008,"material501842":0.7964,"weight_material501842":0.035,"material502204":15.2893,"weight_material502204":0.559,"material502203":25.32,"weight_material502203":0.739,"material502206":0.2786,"weight_material502206":0.054,"material166":2.3214,"weight_material166":0.28,"material167":5.1786,"weight_material167":0.38,"material168":12.0,"weight_material168":0.56,"material169":18.5714,"weight_material169":0.76,"material170":0.6071,"weight_material170":0.008,"material171":0.25,"weight_material171":0.008,"material500611":0.0062,"weight_material500611":6.2e-6,"material500214":0.0025,"weight_material500214":2.5e-6,"material501055":0.0155,"weight_material501055":1.55e-5,"material502098":0.0286,"weight_material502098":2.86e-5,"material502079":0.0163,"weight_material502079":1.63e-5,"material502350":0.0254,"weight_material502350":2.54e-5,"material501680":0.0076,"weight_material501680":7.6e-6,"material502131":0.0271,"weight_material502131":2.71e-5,"material800007":0.0,"weight_material800007":0,"material500379":0.132,"weight_material500379":0.09,"material500419":0.16,"weight_material500419":0.11,"material502106":0.13,"weight_material502106":0.16,"material502567":0.13,"weight_material502567":0.21,"material502564":0.18,"weight_material502564":0.35,"material500154":0.4,"weight_material500154":0.38,"material502074":0.8,"weight_material502074":1.0}},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Variables Price Constructed {"data":{"variables_price":{"variable2":1.1,"variable3":1.2,"variable8":0,"variable19":0,"variable20":0,"variable21":0,"variable22":0,"variable23":0.75,"variable24":0,"variable25":0,"variable26":0,"variable27":0}},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Final Variables Merged {"data":{"variables_count":190},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Initialized items collection {"data":{"count":0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Merged material items {"data":{"formulas_count":38,"items_count_after_merge":38},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Merged variable items {"data":{"variables_count":12,"items_count_after_merge":50},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Sorted items collection {"data":{"items_count":50,"first_item":{"type":"material","id":1,"expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, material501803 * nested_area * variable3 , 0)","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","var_name":"material501803","price":"3.6821","description":"Aluminium 10 G / 0.134 inch - Corrosion-resistant, and Durable for Sign Face.","sequence_no":1},"last_item":{"type":"variable","id":8,"expression":"totalCost * variable2","dense_weight_expression":"totalDenseWeight * 1.1","name":"Total Cost","var_name":"variable8","price":null,"description":null,"sequence_no":50}},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Initializing MathExecutor {"data":{"variables_count":190},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: MathExecutor variables set {"data":{"variables_count":190},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, weight_material501803 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2.5 mm 1100 Grade 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_greater_than_24_inches, material501803 * nested_area * variable3 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches, weight_material501880 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 2mm 4 ft x 8 ft Pakistan","expression":"if(material == material_aluminium && avg_char_height == avg_char_height_less_than_24_inches , material501880 * nested_area * variable3 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, 0, weight_material501060 * ( sign_depth_or_thickness / 12 * perimeter_of_sign )  )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Aluminium Sheet 1.5 mm 4 ft x 8 ft Pakistan","expression":"if(material == material_stainless_steel , 0 , material501060 * variable3  * (sign_depth_or_thickness / 12 * perimeter_of_sign))","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, weight_material500730 * occupied_area, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 14g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material  == material_stainless_steel , material500730 * nested_area  * variable3 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","dense_weight_expression":"if(material == material_stainless_steel, weight_material500591 * ( sign_depth_or_thickness / 12 * perimeter_of_sign ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"SS Sheet 26g Brushed Silver 4 ft x 8 ft Pakistan","expression":"if(material  == material_stainless_steel , material500591 * (sign_depth_or_thickness / 12 * perimeter_of_sign) * variable3 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Acrylic Sheet 8mm Matt 4 ft x 8 ft Pakistan","dense_weight_expression":"weight_material502525 * occupied_area","itemDenseWeight":0.0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Acrylic Sheet 8mm Matt 4 ft x 8 ft Pakistan","expression":"material502525 * nested_area  * variable3","result":0.0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"LED Module 0.4W UL Cool White 10000K China","dense_weight_expression":"if(application == application_interior, 0, nested_area * 10 * weight_material502468 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"LED Module 0.4W UL Cool White 10000K China","expression":"if(application == application_interior , 0 , nested_area * 10 * material502468)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"LED Strip UL Cool White China","dense_weight_expression":"if(application == application_interior, if(ul_mandatory == ul_mandatory_yes, ( weight_material501842 / 3.2 ) * perimeter_of_sign, 0 ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"LED Strip UL Cool White China","expression":"if(application == application_interior , if( ul_mandatory == ul_mandatory_yes , ( material501842 / 3.2 ) * perimeter_of_sign , 0) , 0)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Power Supply 5A UL Certified IP68 Everylite China","dense_weight_expression":"if(application == application_interior && perimeter_of_sign / 3.2 <= 5, if(ul_mandatory == ul_mandatory_yes, weight_material502204 , if(ul_mandatory == ul_mandatory_no, 0, 0 )  ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 5A UL Certified IP68 Everylite China","expression":"if(

  application == application_interior && perimeter_of_sign / 3.2 <= 5,

  if(

    ul_mandatory == ul_mandatory_yes,

    material502204,

    if(ul_mandatory == ul_mandatory_no , 0, 0)

  ),

  0

)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Power Supply 5Amp. 60W UL Certified (Class-2) IP68 Everylite China","dense_weight_expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 5 && perimeter_of_sign / 3.2 <= 10, if(ul_mandatory == ul_mandatory_yes, weight_material502203 , 0 ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 5Amp. 60W UL Certified (Class-2) IP68 Everylite China","expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 5 && perimeter_of_sign / 3.2 <= 10, if(ul_mandatory  == ul_mandatory_yes , material502203 , 0), 0)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Power Supply 15A-10+5","dense_weight_expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 10 && perimeter_of_sign / 3.2 <= 15, if(ul_mandatory == ul_mandatory_yes, weight_material502204 * 2, 0 ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 15A-10+5","expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 10 && perimeter_of_sign / 3.2 <= 15, if(ul_mandatory == ul_mandatory_yes , material502204 + material502203, 0 ), 0 )","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Power Supply 20A-(10A+10A)","dense_weight_expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 15 && perimeter_of_sign / 3.2 <= 1500, if(ul_mandatory == ul_mandatory_yes, weight_material502203 * 2, 0 ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 20A-(10A+10A)","expression":"if(application == application_interior && perimeter_of_sign / 3.2 > 15 && perimeter_of_sign / 3.2 <= 1500, if(ul_mandatory == ul_mandatory_yes , material502203 * 2, 0 ), 0 )","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Power Supply 5A UL Certified IP68 Everylite China","dense_weight_expression":"if(application == application_exterior && nested_area * 10 <= 70, weight_material502204 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 5A UL Certified IP68 Everylite China","expression":"if(application  == application_exterior && (nested_area  * 10)<= 70, material502204 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Power Supply 5Amp. 60W UL Certified (Class-2) IP68 Everylite China","dense_weight_expression":"if(application == application_exterior && nested_area * 10 > 70 && nested_area * 10 <= 140, weight_material502203 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 5Amp. 60W UL Certified (Class-2) IP68 Everylite China","expression":"if(application  == application_exterior && (nested_area * 10) > 70 && (nested_area * 10) <= 140, material502203 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Power Supply 15A-10+5","dense_weight_expression":"if(application == application_exterior && nested_area * 10 > 140 && nested_area * 10 <= 210, weight_material502204 * 2, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 15A-10+5","expression":"if(application == application_exterior && nested_area * 10 > 140 && nested_area * 10 <= 210,  material502204 + material502203 , 0 )","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Power Supply 20A-(10A+10A)","dense_weight_expression":"if(application == application_exterior && nested_area * 10 > 210 && nested_area * 10 <= 21000, weight_material502203 * 2, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Power Supply 20A-(10A+10A)","expression":"if(application == application_exterior && nested_area * 10 > 210 && nested_area * 10 <= 21000, material502203 * 2, 0 )","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Wire 18g UL UL Certified Red & White China","dense_weight_expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no, 0, weight_material502206 * 2.5 * no_of_letters )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Wire 18g UL UL Certified Red & White China","expression":"if(application  == application_interior && ul_mandatory == ul_mandatory_no , 0, material502206 * 2.5 * no_of_letters)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Non UL 5A Power Supply","dense_weight_expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 <= 5, weight_material166 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Non UL 5A Power Supply","expression":"if(application  == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 <= 5, material166 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Non UL 10A Power Supply","dense_weight_expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 > 5 && perimeter_of_sign / 3.2 <= 10, weight_material167 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Non UL 10A Power Supply","expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 > 5 && perimeter_of_sign / 3.2 <= 10, material167 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Non UL 15A Power Supply","dense_weight_expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 > 10 && perimeter_of_sign / 3.2 <= 15, weight_material168 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Non UL 15A Power Supply","expression":"if( application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign  / 3.2 > 10 && perimeter_of_sign / 3.2 <= 15, material168 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Non UL 20A Power Supply","dense_weight_expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign / 3.2 > 15 && perimeter_of_sign / 3.2 <= 1500, weight_material169 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Non UL 20A Power Supply","expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no && perimeter_of_sign  / 3.2 > 15 && perimeter_of_sign / 3.2 <= 1500, material169 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Non UL LED strip","dense_weight_expression":"if(application == application_interior, if(ul_mandatory == ul_mandatory_no, ( weight_material170 / 3.2 ) * perimeter_of_sign, 0 ), 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Non UL LED strip","expression":"if(application == application_interior , if( ul_mandatory  == ul_mandatory_no , (material170 / 3.2) * perimeter_of_sign , 0), 0)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Non UL Wire","dense_weight_expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no, weight_material171 * 2.5 * no_of_letters, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Non UL Wire","expression":"if(application == application_interior && ul_mandatory == ul_mandatory_no , material171 * 2.5 * no_of_letters , 0)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Epoxy Primer Pakistan","dense_weight_expression":"(  (  (  ( occupied_area * 2 ) + (  (  ( sign_depth_or_thickness / 12 ) * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.66 )  ) * weight_material500611","itemDenseWeight":0.0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Primer Pakistan","expression":"(((( occupied_area * 2 ) + ((( sign_depth_or_thickness / 12 ) * perimeter_of_sign  ) * 2 )) * 40.49 * 0.66 )) * material500611","result":0.0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Master Thinner Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.13 * weight_material500214","itemDenseWeight":0.0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Master Thinner Pakistan","expression":"(( occupied_area  * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )) * 40.49 * 0.13 * material500214","result":0.0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Epoxy Hardner Master Pakistan","dense_weight_expression":"(  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 40.49 * 0.2 * weight_material501055","itemDenseWeight":0.0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Epoxy Hardner Master Pakistan","expression":"(( occupied_area * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )) * 40.49 * 0.2 * material501055","result":0.0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * weight_material502098, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.426 * material502098, 0 )","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.234 * weight_material502079 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Matting Agent (P565-554) 1L Nexa Pakistan","expression":"if( paint_finish == paint_finish_matte , (( occupied_area * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )) * 22 * 0.234 * material502079 , 0 )","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502350 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if( paint_finish == paint_finish_matte , (( occupied_area * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign  ) * 2 )) * 22 * 0.21 * material502350 , 0)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.12 * weight_material501680 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if( paint_finish == paint_finish_matte , (( occupied_area  * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign   ) * 2 )) * 22 * 0.12 * material501680 , 0 )","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * weight_material502098 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Paint (P425-950) Jet Black 1L Nexa Pakistan","expression":"if(paint_finish == paint_finish_matte , 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.41 * material502098)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.21 * weight_material502131 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"2k Adjuster (P190-376) Binder 2.5L Nexa Pakistan","expression":"if( paint_finish == paint_finish_matte , 0 , (( occupied_area * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )) * 22 * 0.21 * material502131)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Hardner (922) 1L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.3 * weight_material502350 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Hardner (922) 1L Nexa Pakistan","expression":"if( paint_finish == paint_finish_matte  , 0 , (( occupied_area * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign  ) * 2 )) * 22 * 0.3 * material502350)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","dense_weight_expression":"if(paint_finish == paint_finish_matte, 0, (  ( occupied_area * 2 ) + (  ( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )  ) * 22 * 0.08 * weight_material501680 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Thinner (P850-1491) Fast 5L Nexa Pakistan","expression":"if( paint_finish == paint_finish_matte  , 0 , (( occupied_area * 2 ) + (( sign_depth_or_thickness / 12 * perimeter_of_sign ) * 2 )) *22 * 0.08 * material501680)","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Paint Miscellaneous [Fixed Cost]","expression":"0.2 * ( formula24 + formula25 + formula26 + formula27 + formula28 + formula29 + formula30 + formula31 + formula32 + formula33 + formula34 )","result":0.0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Packaging/Box Making","expression":"variable23 * nested_area","result":0.0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.ERROR: Error computing dense weight {"data":{"name":"Corrugated Sheet 5ply","dense_weight_expression":"if( ( width_of_sign > 0 || other_dimension_of_sign > 0 ) && width_of_sign <= 30 && other_dimension_of_sign <= 30, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt( nested_area )  ) * weight_material500379 , 0 )","error":""},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 5ply","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.ERROR: Error computing dense weight {"data":{"name":"Corrugated Sheet 7Ply","dense_weight_expression":"if( ( width_of_sign > 30 || other_dimension_of_sign > 30 ) && width_of_sign <= 50 && other_dimension_of_sign <= 50, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material500419 , 0 )","error":""},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 7Ply","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.ERROR: Error computing dense weight {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight_expression":"if( ( width_of_sign > 50 || other_dimension_of_sign > 50 ) && width_of_sign <= 60 && other_dimension_of_sign <= 60, (  ( 2 * nested_area ) + ( 3 * nested_area * (  ( sign_depth_or_thickness + 2 ) / 12 )  ) / sqrt(nested_area)  ) * weight_material502106 , 0 )","error":""},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: No formula, default result applied {"data":{"name":"Corrugated Sheet 9 Ply","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ) && width_of_sign <= 70 && other_dimension_of_sign <= 70, nested_area * 2 * weight_material502567 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 5mm 3 Core 4*8","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight_expression":"if( ( width_of_sign > 70 || other_dimension_of_sign > 70 ) && width_of_sign <= 90 && other_dimension_of_sign <= 90, nested_area * 2 * weight_material502564, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 7mm 4 Core","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight_expression":"if( ( width_of_sign > 90 || other_dimension_of_sign > 90 ), nested_area * weight_material500154 * 2, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: No formula, default result applied {"data":{"name":"Plywood Sheet 8*4 Mersawa 6 core 9MM","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Wood Lar 9''x132''","dense_weight_expression":"if( ( width_of_sign > 60 || other_dimension_of_sign > 60 ), 4 * sqrt(nested_area) * (  ( sign_depth_or_thickness + 2 ) / 12 ) * weight_material502074\t , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: No formula, default result applied {"data":{"name":"Wood Lar 9''x132''","dense_weight":"0","result":0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: No formula, default result applied {"data":{"name":"Miscalleneous (10%)","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: No formula, default result applied {"data":{"name":"Where Wastage magnification factor for Sheets consumption is taken as","dense_weight":0,"result":0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Flush/Stud mounted","expression":"if(mounting_type == mounting_type_flush_stud_mounted, 1, 0 )","result":"1"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Standard Raceway (6x2)","dense_weight_expression":"if(mounting_type == mounting_type_standard_raceway_6x2, (  (  (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_height * 2 ) + ( raceway_height * raceway_depth * 2 ) + (  ( width_of_line_1 + width_of_line_2 + width_of_line_3 + width_of_line_4 ) * raceway_depth * 2 )  ) / 144 ) * weight_material501803 , 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Standard Raceway (6x2)","expression":"if(mounting_type == mounting_type_standard_raceway_6x2, variable3 * ( material501803 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  ) + 2.7 / 144 * (  (  ( width_of_line_1 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_2 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_3 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  ) + (  ( width_of_line_4 ) * (  ( 2 * raceway_height ) + ( 2 * raceway_depth ) + 2 )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Flat Backer (2mm)","dense_weight_expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) / 144 * weight_material501803, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Flat Backer (2mm)","expression":"if(mounting_type == mounting_type_flat_backer_2_5_mm, variable3 * ( material501803 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + 2.7 / 144 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ), 0 )","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Dense weight computed {"data":{"name":"Backerboard Cabinet (2\")","dense_weight_expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, (  ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * ( other_dimension_of_sign + ( 2 * backer_offset )  )  )  ) + ( 2 * (  ( width_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  ) + ( 2 * (  ( other_dimension_of_sign + ( 2 * backer_offset )  ) * backboard_cabinet_depth )  )  ) / 144 * weight_material501803, 0 )","itemDenseWeight":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula executed successfully {"data":{"name":"Backerboard Cabinet (2\")","expression":"if(mounting_type == mounting_type_backerboard_cabinet_2_inch, variable3 * (  (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * material501803 / 144 + (  ( 4 + 2 * ( other_dimension_of_sign + ( 2 * backer_offset )  )  ) + ( 2 * backboard_cabinet_depth )  ) * ( width_of_sign + ( 2 * backer_offset )  ) * 2.7 / 144 ), 0 )","result":"0"},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Total Cost formula detected {"data":{"item_id":8},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Formula calculations completed {"data":{"total_items":50,"successful_calculations":49,"errors_count":0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Summed initial totals {"data":{"totalCost_before_formula":1.0,"totalDenseWeight_before_formula":0.0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Total Cost formula executed {"data":{"formula":"totalCost * variable2","computed_totalCost":1.1},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Total Dense Weight formula executed {"data":{"formula":"totalDenseWeight * 1.1","computed_totalDenseWeight":0.0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Total Cost result added to calculationsResults {"data":{"variable_id":8,"result":1.1,"dense_weight_expression":0.0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:45:56] local.INFO: Preparing boxes for bin packing {"data":{"sign_type":"Halo Lit Channel Letters","objects_count":0,"totalDenseWeight":0.0},"timestamp":"2026-01-29 07:45:56"} 
[2026-01-29 07:46:02] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth":5,"sign_type":"Halo Lit Channel Letters","mounting_type":"Flush/Stud mounted"}},"timestamp":"2026-01-29 07:46:02"} 
[2026-01-29 07:46:05] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth":1,"sign_type":"Halo Lit Channel Letters","mounting_type":"Flush/Stud mounted"}},"timestamp":"2026-01-29 07:46:05"} 
[2026-01-29 07:46:08] local.INFO: Validation Passed {"data":{"user_id":null,"request_data":{"sign_width_or_height":120,"sign_depth":null,"sign_type":"Halo Lit Channel Letters","mounting_type":"Flush/Stud mounted"}},"timestamp":"2026-01-29 07:46:08"}