{"configuration":{},"description":"Description","documentation":{"images":[{"content":"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","name":"images/collection.png","type":"image/png"},{"content":"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","name":"images/document.png","type":"image/png"},{"content":"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","name":"images/elastic.png","type":"image/png"},{"content":"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","name":"images/master.png","type":"image/png"},{"content":"iVBORw0KGgoAAAANSUhEUgAAArYAAACpCAIAAABRfuncAAApKUlEQVR4Xu2dC1gWVf7Hs22f1MrspqjltpUpIYLBiygIyHrr4qU2t6zUf6m75pZoqKhZRhqWRWV4QWUT1FJIchGRvCRKipZp3rpppl10SRGYnid386nd/zfOOjucmXkvOPAO834/zzw8857zm985c36/c+Y781646D+EEEIIIToukgsIIYQQQigRCCGEEGIIJQIhhBBCDKBEIIQQQogBlAiEEEIIMYASgRBCCCEGUCLUhZKSklmzZj1PHE1aWtpLL72kKIoc/nqjqqpqzpw5aFfuCiG12bZtm5w99QbTMhDAFW3r1q1y7CkR6kB+fn5eXp5CAoBvv/02PT1dzoB6A4oELcqdIETH22+/nZubKydQ/cC0DBBwXVu1apUUfUoEn3nhhRfkoSXOBeGWM6DegJaXmyfEhNmzZ8sJVD8wLQMHxFqKPiWCz1AiBBSUCMSe4OZeTqD6gWkZOLz44otS9CkRfIYSIaCgRCD2hBKBWA4lggW4lwjV1dUFxWsfmzC2R0JMcOfgoKAg/MU+SlCOWvkAYm/sIxEqKityC/NGJf25e3yPTv9Nrdtie8U+kTxuw6YNTK1AwyYSgWnpJCgRLMCNRMhf+050z+jIHq5RKX9Jz5v7t/dy8vevxV/sowTlqIWNfBixMXaQCJXVVUtX57hio0xTK8YVExdbtL5IPpI4F79LBKal86BEsABDiVBZWfnXCY93iejy9IJUTBKzDbWwgSXsZRfElvhdIpw89Y8Rjz8S6kVqhUWEJ0+ayNQKEPwrEZiWjoQSwQL0EgHZP+i+wX8Y0PvNnbn6SSJtsIEl7DlnGgX+lQhYiPsN7u99avUZ2PdPD9zP1AoE/CgRmJZOhRLBAvQS4YnkcZgtb3/8d/30MNxgCXscJfkhNsSPEqGyugo3ar6mVr9B/SdPnqz1QxyJvyQC09LBUCJYgCQR1hUVdYkIW1HmWU1rN9jjKByrdUVsiB8lwtLVOaERXaTUwstl21fqN61BhCuiuLhY64o4D39JBKalg6FEsACtRKiuro6Nj9W/G9fu99dfZIJqg6NwLD/xixHw+ATy6NGje/bsOXXq1JkzZ+S62hgaGBZ6ib8kQkVlRVRsNym1+g25Q86n8+TtXaOaPbtwZq/EXo0utdQwXUi83FBPbgXepLFHfBoBv0gEpqXlWO72QhxSIliAViJs3rzZFROlnS1iu/6mG+S5ch6tGY6FB02A6khBQcG6devk0kbCzJkzIyMj5VINb7zxxsUXX9ysWbMVK1ZgAHfv3i1bnOebb75RDdQx0RbWAX9JhNzCvMgYl5RX0+Y9c1tECE6nY3inuLsSxHZtm+suqr0WY4uNi7UktRqMzz77DGdx8OBBdUe2qBNWpYFHPKaxx0mq9tDLEfCLRGBayhZ1ov7S8gL7SYlgAVqJkJwycXTKX6QJI7aLanBfgmPhQROgOtKhQ4cFCxbIpY0Ej2trbGzsmDFjsHP69OnXX3/dzc/Faw3UMfF4lHv8JRFGJf3ZMLUmvDgJWZSU9iT2l25dvvrjgph+PZs0aYIdrdn4p5+cOnWq5jzsTj2txValgUc8prHHSar20MsR8ItEYFrKFnWi/tLyAvtJiWABWokQn5iQnjtXP2HyNYKg3e+vv/6mG/JrHi1gX2uDY+FB9VZRUQF1ib95eXnz5s1DsFG4fft27G/dulXYnDp1CrULFy7csmWLeGS3bdu2du3aJSUlffjhh6orQ0pLSzMyMjZt2vTll1+WlJQoNd7Q4vfffy8MPvnkE1EO9u/fP3/+/JUrV0LnihI3xob27kG30Rl40K6teicbNmzo2LHjyJEjN27ceObMGXSgvLxcDBRe5ufnYyjUE1cNtGOiFgqbffv2LVmyBE18/fXXosTMm8BfEqF7fHfD1FLX4jdKll/y20v+b+KjqVnPP5w0XDKbn5/Zu3dvzXn4Fn1FFwufjD1SVlYGeyT2zp07RYnZWqyPl1qOYC1btuzEiRNqoeTWwjQww8s01k9S/QioPdSOgH6+q/hFIjAtRbk+f9Ry/6all/0Uw15cXHzs2DEMvlpOiWABWokQEtr5b1uW6SdM/nmJoKI3wIZj4UH19tVXX8HyzjvvjI+P79q1a4sWLZKTk4ODgxMTEy+++OKsrKyTJ0/iZffu3R988MG2bdv269cPR02YMKF58+adO3eeM2eO6krPk08+2bJly2HDhoWEhERFRYnlTMondZmbO3dus2bNBg4cmJCQ0KZNG+STG2MzezeMHz/+iiuuuPfee3H5R8/dNIoOX3nllZ06dRoxYoT6UE4MFMyio6N79OiBm5Xs7GxF89ROOybaR3kzZsxAOZqIjY1t1aoVZIdyftj13gT+kgidQjoZppZYi5tf3rxFyxbYGTh8sN4GW3bJm2FhYao3n6KvGMXCJ2NRbga60bp166FDh/bp0weJLW6nDNdiw3gpNUFp2rTpgAEDUA5XWAcN3VqYBoZ4n8bSJNV3VTF6o8Fwvqv4RSIwLRWT/FHskZbe9FPNW6yrXbp06dChg3o4JYIFaCXCDTfckLen1ptt6nZRbfQG2HAsPKjeRDaIB3FVVVVYFFwul/gMFC6QkA65ubmItDA+cOBA3759hTb0+AwT2hPZKR5FQHery5nhBEMhptaaNWtE4fTp08WsNjQW5Yb2ZnzwwQfoDO6KsA/5j9XBTaMAtbNnz1Y0a6gYKKwvwmD48OGYA1oDRTMmaiEkPCZYYWGhOArz5KabbsLwmnkT+EsiXH/D9YapJdbiVu1at7/ld9gZNOIevc2v29617du3F658ir4o18fCJ2Oxbwhu7JDDYvUEY8eOjYmJUYzWYrN4weCSSy7BXBDld99995gxY8zcWpUGenxNY7UnZl3VSwSz+S7wi0RgWprlj03S0mM/y8rKfvOb3wjBdPr0aVxiKBEsRisROnt6ipCveX9BfcdB3XBsZ91TBPU9hW7duqWkpIh96EHcTOzduxd5HxcX98orrxw6dEg90KNEwGqizQPMeTezMSsrC9pz2XlwvrA5duyYoTF2zOzPtyYD7XzLLbeoL5977jk3jSrmEuG9994THtLT07FAaw0Uo0k4a9Ys7SCI08GQmnkT+EsiBHcONkwt9YluTumbzS5rNnramKz3ciLjXPMKM7VmK0vfVtdEn6KvmAQUK473xm6iLzhx4kRJScnixYuRzF27dlWM1mKzeC1atOi6665Ty7XfI9C7tSoN9PiaxtIk1XdVLxHM5rvALxKBaWmWPzZJS4/9RKKGhoaq5XPnzqVEsBitREj8Q6LhO3P5Rh9O1JfgWHhQvYlsEFc4EB0d/eyzz4p97OClUvO21rBhw9q0aQNLCNWTJ08qutVHT2pqqpg5giVLlhjORrHMYa62aNHirtrgJsbQWKmZ24b251uTmTZtGqSr+nLhwoVuGlXMJYI6UK+++mpwcLDWQDGahFOnThVjKCgvL0f5u+++a+ZN4C+JEJMQY5ha2s+FiY+LT5k7HSV/TR2nNXtjbbb6pq9P0VdMArpp0ybvjd1EH0vniBEjLr300o4dOw4ZMgTG4eHhitFabBYvXFpuvfXW/3mswcytVWmgx9c0Vnti1lW9RFBM5rvALxKBaWmWPzZJS4/9nDx5sniSIcjJyaFEsBitREAYHpv6uH7CePO7CNhwrPbzvR4lwqeffqrKyc2bN1955ZUZGRnYR2q6lwjLly+HwlWF7TPPPCMm0hdffIEW9+zZI8rHjx+PcohueFa/XIskLigoOH36tKExdszsxUs9WExbt25dVVUlXk6fPt1No0pdJYI6JmphZmYmllq1XSy+KN+/f7+ZN4G/JMITyeP0Hx0fPzv55pBb0Nvfd7wpomek2ETJYzNq5eG0555SU8un6CsmAcVdrPfGbqKPK8Hll1+OYRcvJ02aZLYWm8Vr1apV8KC2uGbNmrS0NDO3VqWBHl/TWO2JWVf1EsFsvgv8IhGYlmb5Y5O09NjPRYsWBQUFqcMOpUuJYDFaiYB526NnjDRh8r3+XQQcq/2WsEeJAMV39dVXi4T7/PPPr7rqqrfeegv7ISEhmHjqx2L1oArpMmPGDKUmh9q1aycmUkVFxRVXXAE5j/2PP/64bdu2KP/uu+9atWqFyVZdXY2Mf+ihh26++WakmqEx9s3sa/VAw7FjxzB7Z82ahX0sgu4bVeoqEdQxUQuPHz+OERNDivK+ffuK/pt5E/hLImzYtEH/kxsDhg1u0qSJNp1UtGtxwcH1CQkJamr5FH3FJKCnTp3y3thN9NPT06+55hrxLS/4Qcduu+02xWgtNosX7qSxxuGKotQ8wr399tsnTpxo5taqNNDjaxqrPTHrql4imM13gV8kAtPSLH9skpYe+4l9jExSUhISeN26dUgwSgSL0UoE5F+vxMTUzFnSnPFmw1E4Fh5Ubx4lAoxHjhzZtGnT9u3bN2/efPTo0SLpkW04sH///qorPcXFxZg/19agpotSk3PNmjVDMmGKqhp806ZNyJuWLVuiHDm9a9cuN8Zu7M0oLCzEbME9BOyHDBnivtHIOkkEdUy0hevXr7/xxhsxaXEWsbGxWNkV3bDbRCJUm/xwpzfbgpyFibVTy6foKyax8MnYDKzdLpcLF1cMMhZKLO7wieVVvxYrJvECGzduRDnO5bLLLrvnnntwnTBza1UaGOJTGqs9MeuqXiKYzXeBXyQC01IxyR/FHmnpTT9LSkrCw8ORV+gbkqpz5/99Ho4SwQK0EkGpyfLIqMg6/I8GHFW3XyxHhu3duxfJpy3ESzeP0QSVlZVQslCR2q8GKTWyfd++feojMpUjR47g3kU7pRVzY8XE3gx4gB/9kw+fnLjHbEzgH63IpSb4SyKAovVFYRHhvqZWwe6ibt266VPL1+grRrHwydgNWMiOHj0ql5pgFi84kb7tbejWkjQww6c01vbEsKuGGM53xU8SQWFanscsf+yQllokh4cPH9b+yue0adOg29SXlAgWIEkEkJKScvc9A3z6v2ewV7+tYBVIuM+MQIpIltJsrA+874zN8aNEAMmTJvYZ2Nf71Fp7YP19Q+5zn1qMvvfY+UT8JREUpqW/uZATOXTo0G9/+9vFixfDvrCwsHXr1q+99ppaS4lgAXqJACE8dOjQgfcOenNnnn56SBtsYAl77bdiLGHXrl2RRiQkJEiWWVlZw4cPlwqtxfvO2Bz/SgQkyZ8euL/foP5v7vR807b2o18XYo+pxeh7j51PxI8SgWnpXy7wRFasWNG1a9err766U6dOaWlp2kcslAgWoJcISs2cgUZ2RbleXPKyfpKoG2phA0v3s4XYB/9KBKUmtSZPnhzhinh24Ux9Romt4OD6BTkLxQ9pMLUCBD9KBIVp6VAoESzAUCIIiouLe/XqFRcfN+mZyZlrspZv/fXfpeMv9lGCctTq340jdsbvEkEgUismLjZp+oT572Rmb1nx9wNFb5XmLl2bMy31Kdw9MLUCDf9KBAHT0mFQIliAG4mg1Hzid/PmzVOnTu3Tp09YWFhQUBD+Yh8lKPfyUzPEPthEIihMLVIbO0gEhWnpLCgRLMC9RCAOwz4SgRAtNpEIxElQIlgAJUJAQYlA7AklArEcSgQLoEQIKCgRiD2hRCCWQ4lgAZQIAQUlArEnlAjEcigRLADXjKVLlz5PAoDs7OwGlghMLeINyMyGlAhMy0AASUWJYAF8ihBQNLBEkJsnxISGlAhy28ShUCJYACVCQEGJQOwJJQKxHEoEC6BECCgoEYg9oUQglkOJYAGUCAEFJQKxJ5QIxHIoESyAEiGgoEQg9oQSgVgOJYIFUCIEFJQIxJ5QIhDLoUSwAEqEgIISgdgTSgRiOZQIFsDfRQgc+LsIxJ7wdxGI5fB3EayBTxECigaWCHLzhJjQkBJBbps4FEoEC6BECCgoEYg9oUQglkOJYAGUCAEFJQKxJ5QIxHIoESyAEiGgoEQg9oQSgVgOJYIFUCIEFJQIxJ5QIhDLoUSwgMzMzMOHD8tDS5xIdXV1A0sEtCh3ghAdR44cWbx4sZxA9QPTMkDAdW3RokVS9CkRfOann35KSUmxv0ooLy9387LhsVt/PPLDDz+8884777//vpwB9UZpaenq1avlfhBSmy+//HLq1KlYiOQEqh+YloEAROeUKVP0SUWJUBfOnTsHtfWyjZk9e3bHjh2TkpLES+zgJW6Ia1s1HHbrjzekpaXl5ubKsa9n8vPz5X4QUhssPliC5NSpT5iWjscsqSgRHMiPP/6Iv2VlZSEhIfi7Y8cOsSPbNSyG/RFdJYQQYkMoEZwGLroul0tcgPH31hr8rg8EUn+gFdDVs2fPynaEEEJsACWCA9Her9tKImj7Y5NnG4QQQsygRHAmuPR26NBBXIxVxSAbNSyqJiiz2bMNQgghhlAiOJP333+/Xbt26mUYf6Oiovz4SF/79od4loDubd++XbYjhBBiGygRHMinn34aGhq6YcMG7fMDP+oDgeiA+iwB3UMn0VXZjhBCiD2gRHAax48fDw8PX7t2rXjp9+cHWrTPEgA6ia6iw7WtCCGE2AJKBEdRXl7erVu3FStWaAttog8EUmfQVXQY3dYWEkIIsQOUCM6hqqoqISEhIyNDrrA36DC6jc7LFYQQQvwKJYJD+PHHH++6666ZM2fKFY0BdBud588oEUKIraBEcALnzp27//77k5OT5YrGAzqPUzD8BVBCCCF+gRKh0fPzzz8/+uijo0eP/uWXX+S6xgM6j1PAieB05DpCCCH+gBKhcfPvf/87KSlp6NChDrj/xingRHA6OCm5jhBCSINDidC4efrppwcOHGir7yxcCDgRnA5OSq4ghBDS4FAiNGJefvnl3r17K4oiVzRmcDo4KZyaXEEIIaRhoURorCxevDgmJqaiokKuaPzgpHBqOEG5ghBCSANCidAoWbVqlcvlOnHihFzhFHBqOEGcplxBCCGkoaBEaHysW7cuPDz86NGjcoWzwAniNHGycgUhhJAGgRKhkVFSUhIaGnro0CG5wongNHGyOGW5ghBCSP1DidCY+OCDD0JCQj766CO5wrngZHHKOHG5ghBCSD1DidBoOHDgAG6pS0tL5Qqng1PGieP05QpCCCH1CSVC4+Dw4cNhYWHvvvuuXBEY4MRx+hgEuYIQQki9QYnQCPj6669vv/32/Px8uSKQwOljEDAUcgUhhJD6gRLB7vzjH/+Ijo7OycmRKwIPDAKGAgMiVxBCCKkHKBFszZkzZ+Lj4+fNmydXBCoYCgwIhkWuIIQQYjWUCPblhx9+6Nu37+zZs+WKwAYDgmHB4MgVhBBCLIUSwaacPXt20KBBTz31lFxB/vMfDAsGxzH/vIoQQuwJJYId4b9Fdo+T/gU2IYTYFkoE2/Hzzz+PHDly1KhR2JHryHkwOBgiDBRHiRBC6glKBHuB++Nx48bx/tgbxLMWDBeftRBCSH1AiWAvpk2bNnjw4H/+859yBTECA4XhwqDJFYQQQi4YSgQbMXv27H79+vGz+j6B4cKg8XsfhBBiOZQIdiEjIyM+Pr6yslKuIJ7AoGHoMIByBSGEkAuAEsEWZGdnR0dHl5eXyxXEOzB0GEAMo1xBCCGkrlAi+J/Vq1dHRER88803cgXxBQwghhGDKVcQQgipE5QIfqa4uDgsLOzIkSNyBfEdDCMGE0MqVxBCCPEdSgR/sm3bttDQ0AMHDsgVpK5gMDGkGFi5ghBCiI9QIviN3bt3h4SEfPjhh3IFuTAwpBhYDK9cQQghxBcoEfzDoUOHcLO7detWuYJYAQYWw4tBlisIIYR4DSWCHzh69Gh4eHhRUZFcQawDw4tBxlDLFYQQQryDEqGh+e677yIjI1etWiVXEKvBIGOoMeByBSGEEC+gRGhQTp8+3aNHjyVLlsgVpH7AUGPAMexyBSGEEE9QIjQciqL07t375ZdflitIfYIBx7Bj8OUKQgghbqFEaCDOnj07YMCAp59+Wq4g9Q+GHYOPEMgVhBBCzKFEaAjOnTv3wAMPjB8/nv+22C9g2DH4CAH/xTYhhHgPJUK988svv4wePXrkyJE///yzXEcaCgw+QoBAIBxyHSGEECMoEeqd5OTk+++/n/evfgchQCAQDrmCEEKIEZQIFvPjjz9qX86cOfOuu+6SCom/QCAQDgRFKtS+JIQQIqBEsBJcbFwuV1lZmXiZkZGRkJBQVVVV24r4E4QDQUFoxMsdO3YgZPwkIyGE6KFEsBjog5CQEPxdsWJFt27dysvLZQvibxAUhAYBgj4QwZItCCGEUCLUB7jkdOjQAdee48ePy3XEHiA0CBDCRH1ACCFmUCJYT2FhYacaePmxLTt27BAxQrDkOkIIITVQIljDt99+u2bNmunTp8fFxQUFBW3ZskV9x0E2Jf5GfX8BYUKwevbsicAhfAiibEoIIQEMJUId+de//vXBBx/Mnz//kUceCavh0UcfnTNnDq49HTt2FDZUCTZE+vzBrbfeipcIHMKnxhFhRXAR4tqHEkJIYEGJUBfOnTuHS8sdd9yhvfvEFQUlU6ZM6dOnj2qJS1FUVBQ/MG8TpK+cAAQLIbvzzjuFIFCfBvXv3x9Sj79mQQgJZCgR6oj+4vHYY4+NHTt2w4YNw4YN05ZTH9gKKRwPP/wwQja2Bm35f4xCTAghAQUlgjW8+uqr4k502bJlEydOlKuJXUlOTl6+fDkCh/C99tprcjUhhAQwlAgWsG7duoiIiO+//x77L9UgWxC7osYL4UMQi4qKZAtCCAlUKBEulLNnz7pcroMHD4qX4q60tgmxL8uWLVP/awOCyF9aJIQQFWOJUFVVNWfOnLS0tOeJF6Smpqr70dHRo0aN0lTai1mzZpWUlMjxrk/QHBqV+2EbEKzu3burL7WhJO7B+vDSSy8piiKHnBDiFIwlAmb+t99+qxDfSUxMLCsrk0vtRF5e3qpVq+SQ1w/5+floTu6BndixYwdCJpcS78AqkZ6eLkedEOIUjCUCbhHkxYB4R2ho6JEjR+RSm4H4yiGvH1544QW5bZtx+PDhLl26yKXEa2bPni1HnRDiFCgRrKSysvJ3v/sd/soVNuPFF1+UQ14/2F8iiJBVVVXJFcQ7KBEIcTCUCBbTKC42lAhaGkXIbAslAiEOpi4SoaKyIrcwb1TSn7vH9+jUOTgoKCi4822xvWKfSB63YdOG6upq+QBiM2wiEZAqBcVrH5swtkdCTPB/EykY+yhBOROpUUCJQIiD8U0iVFZXLV2d44qNiuzhGpXyl/S8uX97Lyd//1r8xT5KImNcMXGxReuL5COJnbCDRMhf+050z2jTROrhQi1s5MOIzaBEIMTB+CARTp76x4jHHwmN6PL0glSs5mYbasMiwpMnTbT/W/IBi38lAhLjrxMe7+JFIsEGlkwkO0OJQIiD8VYiQB/0G9z/DwN6v7kzV7+aSxts+gzs+6cH7ufibk/8KBGQEoPuG+x9IsES9kwk20KJQIiD8UoiVFZXjXj8ESzWb3/8d/06brjBst+g/pMnT9b6ITbBjxLhieRxviYS7HGU5IfYBEoEQhyMVxJh6eqc0IguK8pq3fbh5bLtK/Wb1iDCFVFcXKx1ReyAvyTCuqKiLhFhUiJ5zCXU4igcq3VFbAIlAiEOxrNEqKisiIrtJr1t3G/IHReZkLd3jWr27MKZvRJ7BeBH08+cOSPtWM6FePaLREAaxMbH6j9/4E0u4SgcG4CJ5BMNkHV6KBEIcTCeJUJuYV5kjEta1qfNe+a2iBAs4h3DO8XdlSC2a9tcp13WxRYbF7t582bNklJHCgoK1q1bJ5fWM3Vr9LPPPsM4HDx4UN2RLeqK2p9vvvkGnnfv3i1beIdfJALSwBUTJSWS97mEYxtvIjUAF551dRsZSgRCHIxniTAq6c+jU/6iX9knvDgJK1FS2pPYX7p1+eqPC2L69WzSpAl2tGbjn35y6tSpmiWljnTo0GHBggVyaT1Tt0YvfLE2Q+3P6dOnX3/99Tr/Hw2/SITklImGieRlLuFYeNCcRB2pW0ztz4VnXd1GhhKBEAfjWSJ0j++enjvXzbL+RsnyS357yf9NfDQ16/mHk4ZLZvPzM3v37i1cVVRU4E4Ff/Py8ubNm4e1DIXbt2/H/tatW9UWT506BYOFCxdu2bJFPFvetm1bu3btkpKSPvzwQ9VMCy6Z8IxLZlZWFhyKwv3798+fP3/lypW451Yt9c7NjD02KigrK8OBOIWdO3eKErPFet++fUuWLEETX3/99f+OrylHf5YtW3bixAm1UO9W258zZ87gfMvLy1UPkmcx1DDLz8+Hc+kU/CIR4hMTDBPJy1zCsfCgevMml/Sx9jKmoLS0NCMjY9OmTV9++WVJSYlS4w0tfv/998Lgk08+EeWKUfK4MTa0d49hhkhBN8s6xaQ5yad+ZPRJZTjLKBEIcTCeJUKnkE5/27LMbFlvfnnzFi1bYGfg8MF6G2zZJW+GhYUJV1999RUs77zzzvj4+K5du7Zo0SI5OTk4ODgxMfHiiy/GugObkydPoqR79+4PPvhg27Zt+/Xrh8IJEyY0b968c+fOc+bMUTum5fDhw/AcHR3dqlWrP/7xjyiZO3dus2bNBg4cmJCQ0KZNG6z4iolzM2OPjYJhw4a1bt166NChffr0wSmImzDDxXrGjBnwhiZiY2PRyY0bNwoPuIg2bdp0wIABKIcrrMtmbrX90b7RYOhZDDVOB2PSo0cP3JFnZ2ef77V/JEJIaGfDRPIyl3AsPKjePOaSYay9iSl48sknW7ZsiSiEhIRERUVFRkYqmrAKm5kzZ4pyw+QxMzazd4NhhuiDbph1iklzep/SyOj9K0azTKFEIMTReJYI199wfd6eWh8v0C7rrdq1bn/L77AzaMQ9eptft71r27dvL1yJZV2871BVVYWF2+Vyia+8jxgxAss9dnJzc7EACfsDBw707dtX3MS4fwoqFq9x4379ahxunbFKYllcs2aNqJ0+fbqQKYbOzYwVT43i5gzexJINxo4dGxMToxhJhJ07d+IiXVhYKCzHjx9/00034cRhcMkll6BXovzuu+8eM2aMmVtF0x9VIph5FkONS50oHz58ONZ6sa/4SSLccMMNhonkZS7hWHhQvXnMJcNYK55iCnAbDZEhHkWcOnUKV003EsEseQyNRbmhvRmGGWIY9EOHDuklgmFzhj4VzcgY+sfYSrNM1FIiEOJgPEuE4M7Bhjd/6sPhnNI3m13WbPS0MVnv5UTGueYVZmrNVpa+LT1FUJ8Dd+vWLSUlRezjrgU3fNjZu3cvFrW4uLhXXnkFq56oVTyt7GLxUr9giZtI3AMtOw8uVKg9duyYoXMzY8VTo4ITJ06UlJQsXrwYbnE7qxhJhFmzZsGVeogoR2cWLVp03XXXqeXaHwjSu1WMJIKZZzHU7733nihPT0/HDbFq5heJ0NnTUwT3uYRjO+ueIrjJJcNYK17E9KWXXtIOKeaCG4lgljyGxorbZDPEMEMMg47kl7JOMWkOA6L3qWhGxtA/xlOaZQJKBEIcjGeJEJMQY/gWsvYjZuKT51PmTkfJX1PHac3eWJutfhZBLOvq5/Cjo6OfffZZsY8dvBT7ZWVlw4YNa9OmDYxxi3Py5EnF08ouFq+PP/5YvET/W7RocVdtcCupGDl3Y+y+UaytuGG99NJLO3bsOGTIEBwVHh6uGEkE3OyqZwfKy8tR/u677+JqdOutt/7PYw1mbhUjiWDmWRrqV199NTg4WDXzi0RI/EOiYSJ5mUs4Fh5Ub97kkj7WiqeYgtTUVPVNAbBkyRJDifDcc8+h3Cx5DI0Vt5lpiGGGGAZ9xYoVUtYpJs3hcL1PRTMyhv6RVNIsE1AiEOJgPEuEJ5LH6T+IPn528s0ht2C9+H3HmyJ6RopNlDw243Gt5bTnnlK/0eDNsv7pp5+q976bN2++8sorMzIysI9Fzc3KLi1euGHCgeqzUFxQCwoKTp8+bejczFjx1CguHpdffvn+/fvFy0mTJplJhMzMTFyo1H86jEsXynHgqlWr4EFtes2aNWlpaWZuFU1/VIlg5tmGEgFp8NjUWrnhUy7hWO1XYzzmkmGsFU8xBcuXL8dNtnpv/cwzz4ir+xdffIEW9+zZI8rHjx+PcrPkMTRWzDNTvNRjmCGGQd+4caOUdYpJcxATep+KZmQM/SOpKBEICTQ8S4QNmzbov84+YNjgJk2aXGSEdlkvOLg+ISFB/Tq7x2UdOzk5OVdffbW4QH7++edXXXXVW2+9hf2QkBBcIdTP8EtIi9d3333XqlUrrMvV1dVYCh966KGbb74ZS56hczNjxVOj6enp11xzjfjmIZrGqnrbbbcpRhLh+PHjaEucLLz17dtXXDBwXxsUFISLkFLzzsLtt98+ceJEM7eKpj+qRDDzbEOJgDTo0TNGSiTvcwnHan8XwWMuGcZa8RRTpWYYMeYzZsxQakLZrl07MaQVFRVXXHFFamqqUhOXtm3botwseQyNFfPMrNUDDYYZYhh0fdYpJs2hUO9T0YyMoX9FN8sElAiEOBjPEsHsR/G82RbkLExMTFS/W+hxWRfNjRw5smnTpu3bt2/evPno0aPFAorFC8f2799f2EvoF69NmzZ16NChZcuWWOxwid21a5di7tzQWPHUKJZal8uFuzRcfbG84nrQrFkzrOmGi/X69etvvPFGXPthExsbi3tc4QQ3fyi/9tprL7vssnvuuefUqVNmbhVNf7TfaDD0bEOJgMHvlZiYmjlLnyceNxzVS5NIiu4E9blkFmv3MRUUFxfjon5tDeoFUqkZRgwykgS6QX0wYJY8hsZu7M3QZ4hiFHTDrFNMmjP0qR0ZvX/FaJYplAiEOBrPEgEUrS8KiwjX/7S++61gd1G3bt3q9j8acEXcu3cvLpbaQrx080jWkCNHjuAOUntpUUycKybGHhvFinz06FG51AT4RytyaY0T6ccSzNya9cfMsyF+kQhKzaU3MirS10SCPY5q4ESqrKzEtRD30NrvKyo1zxL27dunPqVXMUweM2PFxN4N+gxRfAm6YXN6n9LIeOOfEoEQB+OVRADJkyb2GdjX+3/Qt/bA+vuG3Kd+yNwqsH59ZgTWMtnUIhq+xQbAXxIBICXuvmeA94kES9j7MZEkiVAfeN8ZG0KJQIiD8VYi4KbqTw/c329Q/zd3er4FXPvRr/pg6NCh2m/xWcKuXbsijUhISJBNLaLhW2wA/CgRkBJIjIH3DnpzZ54+c6QNNrD0byJlZWUNHz5cKrQW7ztjQygRCHEw3koEpWZxnzx5coQr4tmFM/WrudgKDq5fkLNQfEnd8mWdWIUfJYJSk0hID1eU68UlL+tTSN1QCxsmks2hRCDEwfggEQTFxcW9evWKiYtNmj5h/juZ2VtW/P1A0VuluUvX5kxLfQr3Pait29vGpMHwr0QQiESKi4+b9MzkzDVZy7euhCzAX+yjBOVMpEYBJQIhDsZniaDUfDR98+bNU6dO7dOnT1hYWFBQEP5iHyUo9/4TWMRf2EEiKEwkR0CJQIiDqYtEII0dm0gE4gAoEQhxMJQIgQglArEKSgRCHAwlQiBCiUCsghKBEAdDiRCIUCIQq6BEIMTBmEqEpUuXPk+cSHZ2dkNKBCaSg0EuUSIQ4mBMJYJ8s0AcRENKBLlt4iwoEQhxMJQIgQglArEKSgRCHAwlQiBCiUCsghKBEAdDiRCIUCIQq6BEIMTBUCIEIpQIxCooEQhxMJQIgQglArEKSgRCHAwlQiBCiUCsghKBEAdjKhH4dXanwt9FIFbB30UgxNmYSgT5ZoE4iIaUCHLbxFlQIhDiYCgRAhFKBGIVlAiEOBhKhECEEoFYBSUCIQ6GEiEQoUQgVkGJQIiDoUQIRCgRiFVQIhDiYEwlQnV1tbwYEEdw+PDhRYsWySGvHzIzM9Gc3APiFLBKUCIQ4mCMJUJpaenq1avl9YA0fo4cOTJlypSffvpJDnn9gIZSUlKoEhzJDz/88M4777z//vty1AkhTsFYIoD8/PyXieNYtGjRuXPn5GDXJ2gOjcr9II2ftLS03NxcOd6EEAdhKhEIIYQQEshQIhBCCCHEAEoEQgghhBhAiUAIIYQQAygRCCGEEGLA/wOnjEqee4Q4DQAAAABJRU5ErkJggg==","name":"images/queue.png","type":"image/png"},{"content":"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","name":"images/queueConfigClassDiagram.png","type":"image/png"},{"content":"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","name":"images/queueRuntimeL1.png","type":"image/png"},{"content":"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","name":"images/queueRuntimeL2.png","type":"image/png"},{"content":"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","name":"images/queueRuntimeL3.png","type":"image/png"},{"content":"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","name":"images/queueRuntimeL4.png","type":"image/png"},{"content":"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","name":"images/queueRuntimeL5.png","type":"image/png"},{"content":"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","name":"images/queueconfig.png","type":"image/png"}],"sections":[{"content":"# **Context**\r\n\r\n## Collect System\r\n\r\n## Overview\r\n\r\n\r\n## System Landscape\r\n\r\n![](embed:SystemLandscape-001)\r\n","filename":"\\1. System-Context.md","format":"Markdown","order":1,"title":""},{"content":"## Glossary\r\n\r\n| #  | Terms                              | Definitions |\r\n|----|------------------------------------|-------------|\r\n| 1  | Loan account number(LAN)          | A unique number representing a borrower's loan or credit line. It is used to track and reference the loan throughout its lifecycle. |\r\n| 2  | Customer number                   | A unique ID number representing unique customer. One unique customer can have multiple LAN. |\r\n| 3  | Cycle day                         | The fixed day of the month when a borrower’s EMI (equated monthly installment) is due. |\r\n| 4  | Principal Outstanding amount      | The original loan amount (or principal) that remains unpaid by the borrower. It does not include interest, penalties, or charges. |\r\n| 5  | Overdue amount                    | The portion of the loan (EMI, interest, or principal) that is past its due date and remains unpaid. This is what the borrower should have paid by now but hasn’t. |\r\n| 6  | Charges                           | Any additional fees levied by the lender, such as: Late payment charges, Penal interest, Bounce charges, Legal fees. These are not part of the original loan but are costs due to delays or defaults. |\r\n| 7  | Bounce Charges                    | Penalties applied to an account when a cheque or automated debit instruction fails. |\r\n| 8  | Waiver                            | Official cancellation or reduction of certain dues such as interest, penalties, or charges. |\r\n| 9  | Total Outstanding amount          | The total amount owed by the borrower to the lender at a given point in time. It includes: Principal outstanding, Accrued interest, Overdue amount, Charges and penalties |\r\n| 10 | Minimum to Pay                    | It refers to the least amount a borrower is required to pay in a given billing cycle to keep the account in good standing and avoid penalties, delinquency progression, or further interest accrual. It is commonly used in credit card bills, overdue loan EMIs, or settlement arrangements. |\r\n| 11 | Dispute Amount                    | A dispute amount refers to a portion of the loan or charges that the borrower challenges or disagrees with, claiming it is incorrect, invalid, or unfair. Until the dispute is resolved, this amount is usually kept on hold from active recovery. |\r\n| 12 | Reversal Amount                   | Reversal amount refers to a transaction where a previously charged or posted amount is cancelled or reversed in the loan account. It could be a reversal of charges, interest, EMI, penalty, or any other component. |\r\n| 13 | Default                           | The failure to promptly pay interest or principal when due. |\r\n| 14 | Delinquent                        | The failure to accomplish what is required by law or duty, such as the failure to make a required payment or to perform a certain action. In CMS (Collection Management System) delinquency is marked in LOAN after \"Cycle Day\" and in Credit Card after \"Invoice\" is generated. |\r\n| 15 | Voluntary Defaulter               | When a borrower chooses not to pay despite having the ability to do so. |\r\n| 16 | Involuntary Defaulter             | A situation where a borrower fails to make payments and does not engage with the lender, leading to collection action. |\r\n| 17 | Recovery                          | The entire process of following up and collecting overdue dues from borrowers. |\r\n| 18 | Overdue days/Days Past Due(DPD)/Delinquency days | It refer to the number of days that have passed since a loan installment (EMI or payment) was due but not paid. |\r\n| 19 | Bucket                            | Bucket refers to the system of categorizing overdue loan accounts based on the age of the delinquency—i.e., how many days past due (DPD) a payment is. It helps prioritize and manage collection efforts. (e.g., 0-30 DPD 'Bucket 1', 31-60 DPD 'Bucket 2', and so on) |\r\n| 20 | Bucket Aging                      | Bucket aging refers to the amount held in each specific aging bucket. When a payment is received, it is applied to clear the oldest due bucket amount first. |\r\n| 21 | Soft Bucket                       | Accounts that are early in delinquency (e.g., Bucket 0 or 1). |\r\n| 22 | Hard Bucket                       | Advanced stages of delinquency, typically 61+ or 90+ DPD, often triggering legal or repossession actions. |\r\n| 23 | Roll Rate                         | The percentage of accounts that move from one bucket to another bucket (e.g. From 30 DPD to 60 DPD, From 90 DPD to 30 DPD) over a time period. Roll rate can be Forward or Backward. |\r\n| 24 | Non-Performing Asset (NPA)        | A loan that has not received any payment for a set period—typically 90 days or more. It is treated as a bad loan by banks. |\r\n| 25 | Non starter/First payment Defaulters | A borrower who fails to make even the first EMI payment after taking a loan. |\r\n| 26 | Dunning                           | The process of sending reminders or demands to a borrower for payment of dues. Can include letters, messages, emails, Telecalling and visits. |\r\n| 27 | User                              | Any employee of the Bank / Institution or External Agency. Users could be Agents/Collectors, Supervisors or System Administrators & would include all those who would be required to use the system. |\r\n| 28 | Supervisors                       | A set of Users who would have rights to supervise & review the work of all others working under them. |\r\n| 29 | System administrators             | A set of User whose primary responsibility would include setting up Master / Configuration options, routine maintenance of the system & running EOD (End of day) operations. |\r\n| 30 | Collector                         | Agent or Internal Employee of the Bank or an External person used to recover monies due from customers. Some institutes refer to Collectors as Agents |\r\n| 31 | In-House Collection               | Loan recovery activities carried out by the lender’s internal collection team rather than third-party agencies. |\r\n| 32 | External Agencies                 | Third-party companies hired by lenders to support recovery effort on dues from the borrowers. E.g. Recovery agencies, Repossession agencies, Lawyer, Stockyard etc. |\r\n| 33 | Collector groups                  | A grouping of Collectors / Agents assigned the task to recover dues from delinquent customers using a common strategy / approach. |\r\n| 34 | Collection-Queue                  | An aggregation of delinquent accounts based on specific criteria like DPD, region etc. Queue can contain collector groups consisting of member collectors who then get delinquent accounts assigned to them based on percentage or criteria. |\r\n| 35 | Segmentation                      | Classification of delinquent accounts according to a pre-defined criterion. For e.g. all “High Risk” are those which have been on books for less than 6 months & are in bucket 2. |\r\n| 36 | Allocation                        | The process of assigning delinquent accounts to a collector group or collector. This can be done using allocation method or algorithm configured. E.g. for 'W-allocation' follows the sequence 1-2-3-4 then 4-3-2-1, for 'Z-allocation' follows the sequence 1-2-3-4 then 2-3-4-1 then 3-4-1-2 then 4-1-2-3. |\r\n| 37 | Allocation logic/sorting         | Sorting the accounts based on OS, OD, Principal OS etc in ASC or DSC order, then performing the Allocation. |\r\n| 38 | Co-allocation/Parallel allocation| The process of assigning a delinquent loan account to two different collector/collector groups. |\r\n| 39 | Re-allocation                     | The process by which the Supervisor routes cases from the existing owner to another. |\r\n| 40 | Re-assignment                     | The process of automatically transferring a delinquent loan account from one collector/collector group to another based on some condition (Two delinquent accounts of one customer will be assigned to one collector). |\r\n| 41 | Strategy                          | An aggregation of actions that may be user-initiated or automated & performed on a delinquent account. Different Strategies can be deployed to tackle different delinquent accounts. |\r\n| 42 | Worklist                          | Daily operational list of accounts assigned to collectors for action. |\r\n| 43 | List view & Prompt view          | List view: A tabular display of all accounts, allowing users to choose which account to contact. Prompt view: A focused view that shows one account at a time, often guiding the collector to work on each account without personal bias. |\r\n| 44 | Telecalling                       | Calling the borrower on the phone to remind or persuade them to make a payment. |\r\n| 45 | Soft Calling                      | Friendly and polite follow-up calls made during early stages of delinquency. |\r\n| 46 | Hard Calling                      | Aggressive telephonic follow-ups conducted on high-risk or hard bucket accounts to enforce urgency. |\r\n| 47 | Talk Time                         | Total duration spent speaking to borrowers on collection calls, used for productivity metrics. |\r\n| 48 | Dialer                            | An automatic calling system that connects collectors with borrowers, one after another, without manual dialing. |\r\n| 49 | Priority & Sequencing            | A method of sorting/ordering which accounts should be contacted first. |\r\n| 50 | Field collection                  | A physical visit by a collector to the borrower's home or workplace to collect payment or discuss repayment. |\r\n| 51 | Field Control Sheet (FCS)        | A planning document used by field agents to track and report daily visits and collection activity. |\r\n| 52 | Follow-up                         | The process which includes establishing contact with a customer using any channel or multiple channels & then interacting with the customer to recover the overdue amount. Once the interaction is completed the Collector / Agent is required to update the details of the interaction for future reference. Follow-up not only includes telephonic contact but any kind of interaction including field visits or meetings. |\r\n| 53 | Promise to Pay (PTP)             | A borrower's commitment to pay a certain amount by a certain date. Collectors follow up to check if the promise is kept. |\r\n| 54 | Promise Grace period             | It refers to the extra time a lender gives to a borrower after a promised payment date before taking further collection action. It’s a short extension allowed in good faith, assuming the borrower will keep their commitment. |\r\n| 55 | Broken Promise                   | A broken promise occurs when a borrower fails to honor a Promise to Pay (PTP). |\r\n| 56 | Contactability Rate              | The ratio of borrowers successfully reached via call or field visit to the total number of allocated accounts. |\r\n| 57 | Foreclosure                      | Full repayment of the loan before the end of the loan tenure. |\r\n| 58 | Skip Tracing                     | A process to track customers who are no longer contactable. |\r\n| 59 | Collection MIS                   | Regular reporting of collection performance, efficiency, ageing, and follow-up status by product, portfolio, or region. |\r\n| 60 | Escalation                        | A process of routing high risk or long overdue accounts to a higher authority or legal team. |\r\n| 61 | Credit Limit                       | A credit limit is the maximum amount of credit or loan a lender is willing to extend to a borrower under a revolving credit line, loan agreement, or credit facility. It defines the upper borrowing cap, beyond which the borrower cannot access additional funds without lender approval. |\r\n| 62 | Cash limit                         | Cash Limit is the maximum amount of cash that a credit card holder is allowed to withdraw from an ATM or use for cash-like transactions, such as transferring funds to wallets or buying traveler’s cheques. |\r\n| 63 | Previous balance                   | It refers to the total amount that was unpaid from the last billing cycle. It’s the balance that was carried forward to the current month because it was not fully paid by the due date. |\r\n| 64 | Fresh Purchase                     | Fresh Purchase refers to any new transaction or spending made using the credit card during the current billing cycle. These are purchases that are not part of the previous month's statement and have not yet been billed. |\r\n| 65 | Invoice                            | An invoice is a formal statement of the amount due from the borrower, detailing the principal, interest, charges, and due date, often used for record-keeping, payment reminders, or legal communication. |\r\n| 66 | Billing Date                       | The date on which the lender or creditor generates a statement showing the total amount due for that billing cycle (typically monthly). |\r\n| 67 | Unbilled amount                    | Unbilled amount refers to charges, interest, or transactions that have occurred but have not yet been included in the latest bill or statement. These will be reflected in the next billing cycle. |\r\n| 68 | Grace Period                       | A set number of days after the due date during which payment can be made without penalties. |\r\n| 69 | Legal Notice                       | Sent under Indian Contract Act or SARFAESI (for secured loans), giving borrower time to respond (e.g., 7/15/30 days). A formal written communication issued by a lender or authorized representative to a borrower, informing them of a loan default and warning of potential legal proceedings or asset recovery actions if the default is not rectified within the stipulated timeframe. |\r\n| 70 | Repossession                       | When the lender takes back the asset (e.g. Vehicle, Property) used as collateral because the borrower has defaulted. |\r\n| 71 | Inventory Sheet                    | A document listing the repossessed asset details and condition, used during asset seizure. |\r\n| 72 | Sale Notice                        | Official notice informing the borrower of the lender’s intention to sell the repossessed asset. |\r\n| 73 | Private Treaty                     | Sale of repossessed assets through negotiated terms with a buyer instead of public auction. |\r\n| 74 | Shortfall Amount                   | The unpaid balance remaining after the sale of a repossessed asset. |\r\n| 75 | Surplus Amount                     | Excess amount received from asset sale, refundable to the borrower. |\r\n| 76 | Insolvency                         | Insolvency refers to a situation where individuals or companies cannot repay back their outstanding debt obligations. |\r\n| 77 | Bankruptcy                         | Bankruptcy refers to a legal status declared by a court of competent jurisdiction for a person or entity that is insolvent i.e. unable to pay off debts. |\r\n| 78 | Insolvency & Bankruptcy Code (IBC) 2016 | IBC provides a legal mechanism to initiate proceedings for recovery from insolvent borrowers, allowing creditors to recover dues efficiently through structured processes. |\r\n| 79 | Arbitration                        | Arbitration is a legal method used to resolve disputes between two parties (like a lender and borrower) outside of the traditional court system. Instead of a judge, a neutral third-party person called an arbitrator listens to both sides and makes a decision, which is usually binding. |\r\n| 80 | Debt Recovery Tribunal (DRT)       | Debt Recovery Tribunals (DRTs) are specialized courts set up under the Recovery of Debts and Bankruptcy Act (RDB Act), 1993 to help banks and financial institutions recover debts above ₹20 lakh from defaulting borrowers in a fast-track legal manner. |\r\n| 81 | SARFAESI Act, 2002                 | The SARFAESI Act is an Indian law that empowers banks and financial institutions to recover non-performing assets (NPAs) without going to court, by directly taking possession of secured assets and selling them to recover dues. |\r\n| 82 | Legal Hold                         | Suspension of collection activity on an account due to ongoing litigation, regulatory instructions, or court orders. |\r\n| 83 | Recovery Certificate               | DRT/court issues order to recover dues through property attachment, salary garnishment, etc. |\r\n| 84 | Borrower, Co-borrower, Guarantor   | Borrower: The main individual responsible for repaying the loan. Co-borrower: A second person jointly responsible for the repayment. Guarantor: A third party who promises to repay the loan if the borrower defaults. |\r\n| 85 | TPR (Third Party Reference)        | A reference contact (e.g., friend, relative) provided by borrower at the time of loan. |\r\n| 86 | Product                            | A loan product refers to a specific type of financial offering designed by a lender to meet certain borrower needs, with defined terms, interest rates, eligibility, and repayment structure. E.g. Personal Loan, Auto Loan, Consumer Durable Finance etc. |\r\n| 87 | Portfolio                          | A loan portfolio is the entire collection of loans or credit facilities disbursed by a lender across all products and customer segments. It includes: Active accounts (performing loans), Delinquent accounts (overdue loans), Non-performing assets (NPAs). Portfolio can be classified based on: By product: e.g., Auto Loan Portfolio, Business Loan Portfolio; By risk: e.g., High-risk bucket, NPA portfolio; By region, age, or branch. |\r\n| 88 | Curing                             | When a delinquent account becomes current by clearing all overdue amounts. |\r\n| 89 | Month on books                     | Tracks borrower behaviour each month, including payment, default, or recovery status. |\r\n| 90 | CIBIL Reporting                    | Sending the borrower’s repayment history to credit bureaus, which affects their credit score. |\r\n| 91 | Settlement                         | An agreement where the borrower pays a part of the total due amount and the lender agrees to consider the loan as closed. |\r\n| 92 | Write-off                          | The lender marks the loan as uncollectible in their books, usually all recovery efforts have failed. It doesn't mean the borrower is free from the obligation to repay. |\r\n| 93 | Securitization                     | A financial process where a lender or financial institution converts its loan assets (like EMIs, credit card dues, or mortgages) into marketable securities by pooling them and selling them to investors. |\r\n| 94 | Asset Reconstruction Company (ARC) | Specialized financial institutions that buy non-performing assets (NPAs) from banks and financial institutions. ARC's performs their own collection efforts to recover dues from the borrower. |\r\n| 95 | NDC (No Due Certificate)           | A letter certifying that the borrower has cleared all outstanding dues and the loan is closed. |\r\n| 96 | NOC (No Objection Certificate)     | A document provided after loan closure allowing asset deregistration or resale. |\r\n| 97 | Loan Amount/Disbursed Amount/Financed amount | It is the total sum disbursed by the lender to the borrower (or on behalf of the borrower) under a loan agreement. It is the amount on which interest is charged and has a fixed loan tenor. |\r\n| 98 | Loan Tenor                         | Loan tenure refers to the total duration over which a loan is scheduled to be repaid, typically expressed in months or years. |\r\n| 99 | Interest                           | Interest is the cost of borrowing money, paid by the borrower to the lender, usually as a percentage of the principal amount. It is the lender's income for providing the loan. |\r\n|100 | Installment                        | An installment is a fixed payment amount that a borrower is required to pay at regular intervals (typically monthly) toward repaying a loan. Each installment usually includes a portion of both principal and interest. |\r\n|101 | Over-limit                         | Situation where borrower spends or draws more than their approved credit line. |\r\n|102 | Secured & Unsecured loan           | Secured loans are backed by collateral, meaning the borrower pledges an asset to the lender as security for the loan (Auto loan, Housing Loan etc). Unsecured loans are not backed by any specific asset as collateral (Personal loan, Credit card etc). |\r\n|103 | Debit                              | A debit means money going out of the lender’s account or an increase in the amount owed by the borrower. |\r\n|104 | Credit                             | A credit means money coming into the lender’s account or a reduction in the borrower's outstanding dues. |\r\n|105 | Repayment Mode                     | Repayment mode refers to the method or channel chosen by the borrower to repay the loan amount (EMIs, interest, or lump sum) to the lender. It defines how and when the borrower makes payments. E.g. NACH, PDC, Cash, Online payment, UPI etc. |\r\n|106 | Part Payment                       | Partial payment made by the borrower which reduces the overall outstanding but does not clear full dues. |\r\n|107 | Payment Posting                    | Recording of received payments into the core loan system to reflect updated balances. |\r\n|108 | Statement of Account (SOA)         | A document showing all loan-related transactions, payments, and charges. |\r\n|109 | Dedupe                             | Dedupe refers to the process of detecting and eliminating duplicate borrower records across a lender’s systems to ensure clean, unique identification of customers. It is critical in credit risk, underwriting, fraud control, and collections. |\r\n|110 | Loan Restructuring                 | Loan restructuring is a modification of the original loan terms by the lender to provide relief to a borrower who is facing financial difficulty in repaying the loan. It is done without classifying the loan as a default or NPA (immediately), depending on regulatory guidelines. |\r\n","filename":"\\0.Glossary.md","format":"Markdown","order":2,"title":""},{"content":"## Collection Module\r\n\r\n### Container Conext\r\n![](embed:Container-001)\r\n\r\n\r\n\r\n#### Master Entities\r\nFollowing are the existing entities which will be reused. We have to add missing column if needed. \r\n\r\n- mst_currency \r\n    - existing table\r\n- mst_lookup_category \r\n    - exiting table\r\n- mst_lookup_code\r\n    - existing table\r\n- mst_org\r\n    - existing table\r\n\r\n\r\n![](./images/master.png)\r\n\r\n\r\n\r\n- **mst_action_category - Action Category Master** (can be moved to lookup table)\r\n    - Objective: Categorization of contact action into inbound, outbound, internal, and dialer disposition.  \r\n    - Usage: Actions like incoming call, outgoing call, field visit are tagged for reporting.\r\n    - add effective_from and audit columns as per the MDM requirement.\r\n    - unique key for code and effective_from\r\n\r\n| Field Name                  | Label                      | Data Type     | Description                                 | \r\n|-----------------------------|----------------------------|---------------|---------------------------------------------|\r\n| tenant_code                 | Tenant code                | varchar(6)    | Tenant identifier                           |\r\n| **action_category_key**     | Primary Key                | BIGINT        | Primary key                                 | \r\n| **action_category_id**      | Public ID for UI           | varchar(40)   | Unique key (UUID)                           | \r\n| action_category_code        | Contact action category    | varchar(40)   | Code like inbound, outbound, etc.           | \r\n| action_category_description | Description                | varchar(255)  | Description of the action category          | \r\n| **effective_from**          | Effective from Date        | varchar(10)   | Effective from date (default epoc date)     | \r\n| isActive                    | Active                     | boolean       | Indicates if the category is active         | \r\n| created_by                  | Created by                 | varchar(255)  | Creator identifier                          | \r\n| created_date                | Created timestamp          | timestamp     | Creation datetime                           | \r\n| updated_by                  | Updated by                 | varchar(255)  | Last modifier                               | \r\n| updated_date                | Updated timestamp          | timestamp     | Last modification datetime                  | \r\n\r\n\r\n- **mst_feedback_category - Feedback Category Master** (can be moved to lookup table)\r\n    - Objective: Categorization of feedback like successful, unsuccessful, promise, right party.  \r\n    - Usage: Used in reporting and analysis of contact outcomes.\r\n    - add effective_from and audit columns as per the MDM requirement.\r\n    - code and effective from must be unique\r\n\r\n| Field Name                    | Label                    | Data Type     | Description                              | \r\n|-------------------------------|--------------------------|---------------|------------------------------------------|\r\n| tenant_code                   | Tenant code              | varchar(6)    | Tenant identifier                        | \r\n| **feedback_category_key**     | Primary Key              | BIGINT        | Primary key                              | \r\n| **feedback_category_id**      | Public ID for UI         | varchar(40)   | UUID                                     | \r\n| feedback_category_code        | Feedback category code   | varchar(40)   | E.g. successful contact, promise contact |\r\n| feedback_category_description | Description              | varchar(255)  | Description of feedback category         |\r\n| is_successful                 | successful               | boolean       | Is feedback category successful          | \r\n| is_right_party_contact        | Right party contacted    | boolean       | Is feedback category right party contact |\r\n| is_promise_taken              | Promise taken            | boolean       | Is feedback category promise             | \r\n| **effective_from**            | Effective From Date      | varchar(10)   | effective from date (default epoc date)  |\r\n| isActive                      | Active                   | boolean       | Indicates if the category is active      | \r\n| created_by                    | Created by               | varchar(255)  | Creator identifier                       | \r\n| created_date                  | Created timestamp        | timestamp     | Creation datetime                        | \r\n| updated_by                    | Updated by               | varchar(255)  | Last modifier                            | \r\n| updated_date                  | Updated timestamp        | timestamp     | Last modification datetime               | \r\n\r\n\r\n- **mst_action - followup Action Master** \r\n    - Objective: Master for actions like call, field visit, etc.  \r\n    - Usage: Denotes what action was performed on the customer account.\r\n    - add effective_from and audit columns as per the MDM requirement. refer previous tables.\r\n    - code and effective from must be unique\r\n\r\n| Field Name             | Label                       | Data Type     | Description                              |\r\n|------------------------|-----------------------------|---------------|------------------------------------------|\r\n| tenant_code            | Tenant code                 | varchar(6)    | Tenant identifier                        |\r\n| action_key             | primary key                 | BIGINT        | Primary key                              | \r\n| action_id              | public id for the UI        | varchar(40)   | UUID      Unique key                     |\r\n| action_code            | Action code                 | varchar(40)   | Contact action code                      |\r\n| action_description     | Description                 | varchar(255)  | Action description                       |\r\n| action_category_code   | Action category             | varchar(40)   | Associated category code                 |\r\n| is_next_action_allowed | Is next action allowed      | boolean       | Can this action be scheduled as next     |\r\n| next_action_days       | Next action days            | BIGINT        | Number of days for next action           |\r\n| effective_from         | Effective From Date         | varchar(10)   | effective from date (default epoc date)  | \r\n| isActive               | Active                      | boolean       | Indicates if the action is active        |\r\n| created_by             | Created by                  | varchar(255)  | Creator identifier                       |\r\n| created_date           | Created timestamp           | timestamp     | Creation datetime                        |\r\n| updated_by             | Updated by                  | varchar(255)  | Last modifier                            |\r\n| updated_date           | Updated timestamp           | timestamp     | Last modification datetime               |\r\n\r\n- **mst_feedback - Contact Feedback Master** \r\n    - Objective: Feedbacks like No Answer, Promise to Pay, Already Paid  \r\n    - Usage: Indicates the result of a contact, used for reporting.\r\n    - add effective_from and audit columns as per the MDM requirement.\r\n    - code and effective from must be unique\r\n\r\n| Field Name              | Label                | Data Type     | Description                                 | \r\n|-------------------------|----------------------|---------------|---------------------------------------------|\r\n| tenant_code             | Tenant code          | varchar(6)    | Tenant identifier                           | \r\n| feedback_key            | Primary Key          | BIGINT        | Primary key                                 | \r\n| feedback_id             | public id for UI     | varchar(40)   | UUID   (unique)                             |   \r\n| feedback_code           | Feedback code        | varchar(40)   | Feedback identifier                         |\r\n| feedback_description    | Description          | varchar(255)  | Description of the feedback                 |\r\n| feedback_category_code  | Feedback category    | varchar(40)   | Related category                            |\r\n| effective_from          | Effective From Date  | varchar(10)   | effective from date (default epoc date)     |\r\n| isActive                | Active               | boolean       | Indicates if active                         |\r\n| created_by              | Created by           | varchar(255)  | Creator identifier                          |\r\n| created_date            | Created timestamp    | timestamp     | Creation datetime                           |\r\n| updated_by              | Updated by           | varchar(255)  | Last modifier                               |\r\n| updated_date            | Updated timestamp    | timestamp     | Last modification datetime                  |\r\n\r\n- **action_feedback_map - Action and feedback mapping**\r\n    - Objective: Defines allowed feedback per action.  \r\n    - Usage: Shows only relevant feedbacks based on action on the follow-up screen.\r\n    - unique key for feedback_code and action_code\r\n    - add effective_from and audit columns as per the MDM requirement.\r\n\r\n| Field Name             | Label                 | Data Type     | Description                        |\r\n|------------------------|-----------------------|---------------|------------------------------------|\r\n| tenant_code            | Tenant code           | varchar(6)    | Tenant identifier                  |\r\n| action_feedback_map_key| Primary Key           | BIGINT        | Primary key                        |\r\n| action_feedback_map_id | public id for the UI  | varchar(40)   | unique key (UUID)                  |\r\n| action_code            | Action code           | varchar(40)   | Optional FK to `mst_action`        |\r\n| feedback_code          | Feedback code         | varchar(40)   | Optional FK to `mst_feedback`      |\r\n| isActive               | Active                | boolean       | Indicates if mapping is active     |\r\n| created_by             | Created by            | varchar(255)  | Creator identifier                 |\r\n| created_date           | Created timestamp     | timestamp     | Creation datetime                  |\r\n| updated_by             | Updated by            | varchar(255)  | Last modifier                      |\r\n| updated_date           | Updated timestamp     | timestamp     | Last modification datetime         | \r\n\r\n\r\n\r\n#### Collection Account Entities\r\n![](./images/elastic.png)\r\n\r\n- All the collection account related entities will be stored in the elastic search either through bulk upload or through the real time api data. \r\n- There will be pre defined mapper for each host from which the data will be coming. \r\n- We will define the dictionary for each host system and same will be used for uploading and getting data from the elastic search database.\r\n- Loan Account and it's related data will be stored in the elastic search\r\n- Credit cards and it's invoices related data including payment history will be store in this DB. \r\n- If in future if we support, insurance and telecom related data then same will go in this DB. \r\n\r\n#### Collection Entities\r\n![](./images/collection.png)\r\n\r\n- **account_buckets - Account Buckets with Aging information**\r\n    - Objective: Maintain bucket-wise overdue breakup for each account\r\n    - Usage: Used for aging analysis and tracking delinquency levels\r\n\r\n| Field Name       |    Label         | Data Type    | Description                         |\r\n|------------------|------------------|------------- | ----------------------------------- |\r\n| tenant_code      | Tenant code      | varchar(6)   | Tenant identifier                   |\r\n| bucket_id        | Identifier       | varchar(40)  | Primary key identifier(UUID)        |\r\n| account_id       | Account ID       | varchar(40)  |                                     |\r\n| bucket_number    | Bucket number    | number       | Bucket number                       |\r\n| bucket_code      | Bucket code      | varchar(40)  | Bucket code                         |\r\n| amount_due       | amount           | number(19,6) | Amount due in bucket                |\r\n| isActive         | Active           | boolean      | Indicates if mapping is active      |\r\n| created_by       | Created by       | varchar(255) | Creator identifier                  |\r\n| created_date     | Created timestamp| timestamp    | Creation datetime                   |\r\n| updated_by       | Updated by       | varchar(255) | Last modifier                       |\r\n| updated_date     | Updated timestamp| timestamp    | Last modification datetime          |\r\n\r\n- **account_followup – account followups**\r\n    - Objective: Record last customer contact information.  \r\n    - Usage: Used for reporting, performance review, and activity tracking.\r\n    \r\n\r\n| Field Name                  | Label                   | Data Type      | Description                           |\r\n|-----------------------------|-------------------------|----------------|---------------------------------------|\r\n| tenant_code                 | Tenant code             | varchar(6)     | Tenant identifier                     |\r\n| followup_id                 | Followup Id             | varchar(40)    | Primary key UUID, public id for UI    |\r\n| account_id                  | account id              | varchar(40)    | Account identifier                    |\r\n| action_code                 | Contact action code     | varchar(40)    | Code of action performed              |\r\n| case_id                     | case Id                 | varchar(40)    | case id                               |\r\n| action_date                 | Contact action date     | varchar(10)    | Date the action was performed         |\r\n| feedback_code               | Contact feedback code   | varchar(40)    | Feedback result of the contact        |\r\n| scheduled_nextaction_code   | Next contact action code| varchar(40)    | Code for next scheduled contact       |\r\n| scheduled_nextaction_date   | Next contact date       | varchar(10)    | Scheduled date for next contact       |\r\n| contacted_party_type_lcode  | Party contacted         | varchar(40)    | Relationship of the contacted person  |\r\n| contacted_place_type_lcode  | Place of contact        | varchar(40)    | Location where contact was made       |\r\n| contacted_person_name       | Contact person          | varchar(120)   | Name of person contacted              |\r\n| allocated_collector         | Allocated collector     | varchar(40)    | Collector assigned at time of contact |\r\n| activity_remarks            | Activity remark         | varchar(500)   | Remarks recorded during contact       |\r\n| isActive                    | Active                  | boolean        | Indicates if mapping is active        |\r\n| created_by                  | Created by              | varchar(255)   | Creator identifier                    |\r\n| created_date                | Created timestamp       | timestamp      | Creation datetime                     |\r\n| updated_by                  | Updated by              | varchar(255)   | Last modifier                         |\r\n| updated_date                | Updated timestamp       | timestamp      | Last modification datetime            |\r\n---\r\n\r\n-  **account_promise – Promise to Pay Summary**\r\n    - Objective: Summary of promise to pay with validations as per policy and actuals.  \r\n    - Usage: Used for decision-making, tracking, and supervisory inputs.\r\n    - unique key on account_id    and promise_code\r\n\r\n| Field Name                        | Label                          | Data Type    | Description                                       | \r\n|-----------------------------------|--------------------------------|--------------|---------------------------------------------------|\r\n| tenant_code                       | Tenant code                    | varchar(20)  | Tenant identifier                                 | \r\n| promise_id                        | primary key                    | varchar(40)  | Identifier for promise(UUID)                      | \r\n| followup_id                       | Follow-up                      | varchar(40)  | FK to account follow-up                           | \r\n| account_id                        | Account id                     | varchar(40)  | Account identifier                                | \r\n| **promise_policy_code**           | Promise policy code            | varchar(40)  | Policy rule applied                               |\r\n| promise_max_promise_days          | Max total promise days         | number       | Max days between promise date and last installment|\r\n| promise_max_days_first_installment| Max days to first installment  | number       | Days to first installment as per promise          |\r\n| promise_max_installments          | Max installments               | number       | Number of installments recorded                   |\r\n| promise_min_overdue_amount        | Minimum overdue % (promise)    | number(19,6) | % of overdue promised                             |\r\n| promise_min_outstanding_amount    | Minimum outstanding % (promise)| number(19,6) | % of outstanding promised                         |\r\n| promise_min_rollback_bucket       | Minimum rollback bucket        | number       | Buckets rolled back as per promise                |\r\n| promise_kept_percentage           | Kept promise % (Policy)        | number(5,2)  | % as per policy                                   |\r\n| promise_partially_kept_percentage | Partially kept % (Policy)      | number(5,2)  | % as per policy                                   |\r\n| payment_grace_days                | Payment grace days             | number       | Days allowed post due date                        |\r\n| **collector_id**                  | Allocated collector code       | varchar(40)  | Collector handling case                           |\r\n| promise_by_userid                 | Promise recorded by            | varchar(40)  | User recording the promise                        |\r\n| promise_date                      | Promise recorded date          | varchar(10)  | Date when promise was recorded                    |\r\n| approval_by_userid                | Promise approved by            | varchar(40)  | Approver user ID (can be SYSTEM)                  |\r\n| approval_date                     | Date of approval               | varchar(10)  | Date of approval                                  |\r\n| promise_start_date                | Promise start date             | varchar(10)  | Start date of promise                             |\r\n| promise_end_date                  | Promise end date               | varchar(10)  | End date of promise                               |\r\n| promise_amount                    | Total promised amount          | number(19,6) | Total amount promised                             |\r\n| promise_status                    | Promise status                 | varchar(40)  | Status of promise                                 |\r\n| approval_status                   | Promise approval status        | varchar(40)  | Approval Status of promise                        |\r\n| promise_status_date               | Promise status date            | varchar(10)  | Last updated status date                          |\r\n| promise_amount_paid               | Amount paid                    | number(19,6) | Amount paid so far                                |\r\n| promise_tracked_date              | Promise tracked date           | varchar(10)  | Date promise was last tracked                     |\r\n| isActive                          | Active                         | boolean      | Indicates if mapping is active                    |\r\n| created_by                        | Created by                     | varchar(255) | Creator identifier                                |\r\n| created_date                      | Created timestamp              | timestamp    | Creation datetime                                 |\r\n| updated_by                        | Updated by                     | varchar(255) | Last modifier                                     |\r\n| updated_date                      | Updated timestamp              | timestamp    | Last modification datetime                        |\r\n\r\n---\r\n\r\n- **account_promise_plan – Promise to Pay Plan**\r\n    - Objective: Store details of promised installments by customer.  \r\n    - Usage: Used to track and reconcile promis plan payments.\r\n\r\n| Field Name                       | Label              | Data Type    | Description                               | \r\n|----------------------------------|--------------------|--------------|-------------------------------------------|\r\n| tenant_code                      | Tenant code        | varchar(6)   | Tenant identifier                         |\r\n| promise_plan_id                  | primary key        | varchar(40)  | Promise plan ID (UUID)                    |\r\n| promise_id                       | Promise ID         | varchar(40)  | FK to account_promise                     |\r\n| promise_date                     | Promise date       | varchar(10)  | Date promise was made                     |\r\n| promise_installment_date         | Installment date   | varchar(10)  | Date installment is expected              |\r\n| promise_installment_amount       | Installment amount | number(19,6) | Amount expected                           |\r\n| promise_installment_amount_paid  | Amount paid        | number(19,6) | Amount actually paid                      |\r\n| promise_installment_status       | Installment status | varchar(40)  | Status                                    |\r\n| promise_installment_status_date  | Status date        | varchar(10)  | Date status was updated                   |\r\n| isActive                         | Active             | boolean      | Indicates if mapping is active            |\r\n| created_by                       | Created by         | varchar(255) | Creator identifier                        |\r\n| created_date                     | Created timestamp  | timestamp    | Creation datetime                         |\r\n| updated_by                       | Updated by         | varchar(255) | Last modifier                             |\r\n| updated_date                     | Updated timestamp  | timestamp    | Last modification datetime                |\r\n\r\n- **account_activities` - All Activities Log** (json structure to be defined)\r\n    - Objective: Log all system and user transaction activities.  \r\n    - Usage: Used for audit and tracking account-level actions.\r\n    - This will be handled using event. Any update in the transaction table will publish an event which will be logged in the audit log\r\n    - Activity type, code, event body should contain the accountId, customercode, allocationcode, remarks, account level amounts,transaction table unique/reference keys\r\n    ```json\r\n    {\r\n        \"_id\": {\r\n            \"$oid\": \"69a7c8c6d3088227ab51fef0\"\r\n        },\r\n        \"createdBy\": null,\r\n        \"updatedBy\": null,\r\n        \"createdAt\": null,\r\n        \"updatedAt\": null,\r\n        \"tenantCode\": \"TID001\",\r\n        \"accountId\": \"8c245a8a-f0d5-46c1-855d-44af921173d4\",\r\n        \"caseId\": \"CASE17709004585585125\",\r\n        \"customerCode\": \"C299038957\",\r\n        \"activityType\": \"FOLLOW_UP\",\r\n        \"activityByType\": \"USER\",\r\n        \"activityBy\": \"10001\",\r\n        \"activityDateTime\": \"2026-03-04T11:22:55.4421724\",\r\n        \"data\": {\r\n            \"bucket\": \"B7\",\r\n            \"overdueAmount\": 1644,\r\n            \"outstandingAmount\": 1002044,\r\n            \"overdueDays\": 190,\r\n            \"remark\": \"\"\r\n        }\r\n    }\r\n    ```\r\n\r\n---\r\n\r\n- **account_summary**\r\n    - Objective: Store aggregate account summary information\r\n\r\n| Field Name             | Label                             | Data Type   | Description                                       |\r\n| -----------------------| ----------------------------------| ------------| --------------------------------------------------|\r\n| tenant_code            | Tenant Code                       | varchar(6)  | Tenant code                                       |\r\n| account_id              | Account Identifier/Sequence No    | varchar(40) | Unique account reference number                   |\r\n| delinquency_string     | Delinquency String                | varchar(255)| Delinquency status string calculated on cycle day/montheend|\r\n| cycle_string           | Cycle String                      | varchar(255)| Cycle string calculated on cycle day/monthend         |\r\n| delinquent_count        | Number of times account delinquent | BIGINT     | Number of times account delinquent during insert/update from the source system                |\r\n| selfcure_count         | Number of times selfcured         | BIGINT  | Number of times account self cured during update from the source system|\r\n| peak_overdue_days      | Peak Overdue days                 | BIGINT     | Peak Overdue days       |\r\n| peak_overdue_amount    | Peak Overdue Amount               | Numeric(19,6)| stamp during account insert/update from the source system.|\r\n| bucket_code            | bucket code associated the account | varchar(40)  |                 |\r\n| overdue_days           | Overdue Days                      | BIGINT       |             |\r\n\r\n\r\npayment tracking \r\n\"collectorCode\": \"\"\r\n\r\n\r\n#### **Configuration Entities**\r\n\r\n#### **Bucket Config**\r\n- bucket calculation method can be ODAYS or MONTHENDS and based on that bucket ranges will be configured. \r\n- for Monthends \r\n    - fromvalue 0 and toValue 0 means, no overdue\r\n    - fromvalue 0 and tovalue 1 means period between deliquency start and before 1st month end. \r\n    - fromvalue 1 and tovalue 2 means period after 1st monthends upto end of second month\r\n\r\n- **mst_productsetup_bucket_config**\r\n    - add effective_from and audit columns as per the MDM requirement.\r\n    \r\n\r\n| Field Name                      | Label                     | Data Type   | Description                                    |\r\n| --------------------------------| --------------------------| ------------| -----------------------------------------------|\r\n| tenant_code                     | Tenant Code               | varchar(6)  | Tenant code                                    |\r\n| bucket_config_key               | primary key               | BIGINT      | Primary key for this table                     |\r\n| bucket_config_id                | public id for UI          | varchar(40) | unique key(UUID) for this table                |\r\n| product_code                    | Portfolio code            | varchar(40) | product setup code                             |\r\n| product_type_code               | Product Type              | varchar(40) | product type code                              |\r\n| cyclestring_calculation_method_lcode | Cycle String Calculation method | varchar(40) |Calculation of Cycle String based on CYCLEDAY/MONTHEND |\r\n| delinquency_calculation_method_lcode | Delinquency String Calculation method | varchar(40) |Calculation of Delinquency String based on CYCLEDAY/MONTHEND |\r\n| bucket_calculation_method_lcode | Bucket Calculation method | varchar(40) |Calculation of bucket based on overdue/monthend |\r\n| days_basis_lcode                | Days Basis                | varchar(40) | Days Basis(30/360 or 30/365)                   |\r\n\r\n- **mst_productsetup_bucket_config_details**\r\n    - add effective_from and audit columns as per the MDM requirement.\r\n\r\n| Field Name               | Label          | Data Type   | Description                 |\r\n| -------------------------| ---------------| ------------| ----------------------------|\r\n| tenant_code              | Tenant Code    | varchar(6)  | Tenant code                 |\r\n| bucket_config_details_key| primary key    | BIGINT      | Primary key for this table  |\r\n| bucket_config_key        | foreign key    | BIGINT      | foreign key for this table  |\r\n| bucket_code                     | Bucket Code               | varchar(40) | Bucket Code                                    |\r\n| bucket_description              | Bucket Description        | varchar(255)| Bucket Description                             |\r\n| serial number            | sr number      | BIGINT      | serial number               |\r\n| from_value               | From Value     | BIGINT      | From Days or From month     |\r\n| to_value                 | To Value       | BIGINT      | From Days or From month     |\r\n\r\n\r\n\r\n#### Promise Policy config\r\n- This configuration defines promise validation and tracking parameters\r\n- Validate promise against promise policy and record only valid promises as per business rules.\r\n- When a collector will record the promise it will be validated against number of validation parameters like promise amount, number of installments, promise amount coverage. Promise will be tracked against payment and marked as kept or broken promise based on tracking parameter.\r\n\r\n- **mst_promise_policy**\r\n    - add effective_from and audit columns as per the MDM requirement.\r\n\r\n| Field Name                        |  Label                       | Data Type    | Description                    |\r\n| ----------------------------------| -----------------------------| -------------| -------------------------------|\r\n| tenant_code                       | Tenant Code                  | varchar(6)   | Tenant code                    |\r\n| key                               |  primary key                 | BIGINT       | Primary key for this table     |\r\n| policy_code                       | Promise Policy code          | varchar(40)  | Promise policy code            |\r\n| policy_description                | Promise Policy description   | varchar(255) | Promise policy Description     |\r\n| policy_criteria                   | Promise Policy criteria      | varchar(500) | Promise policy criteria        |\r\n| max_total_promise_days            | Max total promise days       | BIGINT       | Max Total Promise Days         |\r\n| max_days_to_first_installment     | Max days to first installment| BIGINT       | Max days to first installment  |\r\n| max_installments                  | Max Installments             | BIGINT       | Maximum number of installments |\r\n| min_overdue_amount_percentage     | Minimum Overdue Amount%      | numeric(19,6) | Minimum % of overdue amount    |\r\n| min_outstanding_amount_percentage | Minimum Outstanding Amount%  | numeric(19,6) | Minimum % of total outstanding |\r\n| min_bucket_rollback               | Minimum Bucket Rollback      | BIGINT       | min bucket rollback            |\r\n| is_promise_allowed                | Promise Allowed (Y/N)        | boolean      | Promise allowed or not         |\r\n| kept_promise_percentage           | Promise Kept %               | numeric(19,6) | promise kept%                  |\r\n| partially_kept_promise_percentage | Promise Partially Kept %     | numeric(19,6) | Promise Partially Kept %       |\r\n| grace_days                        | Payment Grace Days           | BIGINT      | Promise Grace Days             |\r\n\r\n\r\n- **account_cases_allocation**\r\n    - account cases allocation data. \r\n\r\n| Field Name                        |  Label                       | Data Type    | Description                    |\r\n| ----------------------------------| -----------------------------| -------------| -------------------------------|\r\n| tenant_code                       | Tenant Code                  | varchar(6)   | Tenant code                    |\r\n| key                               | primary key                  | BIGINT       | Primary key for this table     |\r\n| account_id                        | account  Id                  | varchar(40)  | account ID                     |\r\n| case_id                           | case Id for the account      | varchar(40)  |                                |\r\n| case_type                         | Case Type                    | varchar(40)  | MAIN_CASE/PICKUP               |\r\n| is_main_case                      | Main case or alternate case  | boolean      | main or alternate case         |\r\n| queue_code                        |                              | varchar(40)  |                                |\r\n| customer_code                     |                              | varchar(40)  |                                |\r\n| partner_code                |   partner code               | varchar(40)  | first time partnercode then collector user id   | \r\n| collector_id                      |                              | varchar(40)  |                                |\r\n| queue_allocation_date             |                              | varchar(10)  |                                |\r\n| collector_allocation_date         |                              | varchar(10)  |                                |\r\n| is_queue_creation_active          |                              | boolean      |                                |\r\n| is_queue_allocation_active        |                              | boolean      |                                |\r\n| bucket_code                       |                              | varchar(40)  |                                |\r\n| display_date                      |                              | varchar(10)  |                                |\r\n| scheduled_next_action_code        |                              | varchar(10)  |                                |\r\n| scheduled_next_action_date        |                              | varchar(10)  |                                |\r\n| scheduled_next_action_date        |                              | varchar(10)  |                                |\r\n| sequence                          |                              | BIGINT       |                                |\r\n\r\n\r\n- **account_cases_allocation_log**\r\n    -  any update or creation will log in this table.\r\n\r\n- **Auto Dialer Campaign Config** (TBD)\r\n\r\n### API details for worklists\r\n\r\n- **Queue Worklist**\r\n    - GET /api/v1/queues/{queueCode}/cases\r\n        - this will return list of cases which are part of the queue from the accounts_cases_allocation table.\r\n\r\n- **Supervisor Worklist**\r\n    - GET /api/v1/queues/{queueCode}/cases?scope=tree\r\n\r\n\r\n- **Collector Worklist or prompt mode**\r\n    - GET /api/v1/collect/collectors/{collectorId}/cases\r\n    - GET /api/v1/collect/collectors/{collectorId}/cases/prompt?currentCaseId={caseId}\r\n\r\n                OR\r\n\r\n    - GET /api/v1/accounts/cases?collectorid={userid}\r\n    - GET /api/v1/accounts/cases/prompt?collectorid={userid}&currentCaseId=case123\r\n        - This will return list of all cases assigned to the collector from the accounts_cases_allocation table along with it's account code.\r\n        - if query param \"mode=PROMPT && currentCaseId=\"case001\" then we will find the next case based on the current case and return it in the prompt mode. it will return the list with one case only. \r\n        - Refer FSD for the prompt mode display and next action logic\r\n\r\n- Manually Create an alternate case by supervisor. (Future API next phase)\r\n  - POST /api/v1/collect/accounts/{accountId}/cases (create alternate case; enforce single main)\r\n    - isMain flag always false. can't create main case. Main case will be created automatically when account is created. \r\n\r\n- Manually allocate case to the collector within the queue\r\n    - POST /api/v1/collect/accounts/{accountId}/cases/{caseId}/allocations (allocate or reallocate)\r\n    - Body: `{ \"queueCode\":\"...\", \"collectorId\":\"...\", \"reason\":\"...\" }`\r\n    - In the open queue, supervisor can manually allocate cases to the collector whom are part of the same queue in which case is landed. \r\n- Bulk allocation endpoint pending (TODO - FSD pending)\r\n    - PUT /api/v1/collect/accounts/cases\r\n        - body: \r\n        ```json\r\n        [\r\n            {\r\n                \"accountId\":\"\",\r\n                \"caseId\":\"\",\r\n                \"queueCode\":\"\",\r\n                \"agency\":\"\",\r\n                \"userId\":\"\"\r\n            }\r\n        ]\r\n        ```\r\n\r\n### API details for Collection Module\r\n\r\n#### Auto Dialer config (CRUD)\r\n- /api/v1/collect/dialer-configs\r\n    - GetAll\r\n    - Post\r\n- /api/v1/collect/dialer-configs/{uuid}\r\n    - Update\r\n    - Get\r\n    - Delete\r\n\r\n#### Overdue config (CRUD)\r\n- /api/v1/collect/bucket-configs\r\n    - GetAll\r\n    - Post\r\n- /api/v1/collect/bucket-configs/{uuid}\r\n    - Update\r\n    - Get\r\n    - Delete\r\n\r\n\r\n#### Followup (CRUD)\r\n\r\n- **Followups (create & query within case)**\r\n    - POST /api/v1/collect/accounts/{accountid}/cases/{caseId}/followups\r\n        - create followup for the case and account assigned to the collector. \r\n    - GET /api/v1/collect/accounts/{accountid}/cases/followups\r\n        - Get all followups for the account\r\n    - GET /api/v1/collect/accounts/{accountid}/cases/{caseId}/followups\r\n        - Get all followups for the account and case\r\n    - GET /api/v1/collect/accounts/{accountid}/cases/{caseId}/followups/{followupid}\r\n        - Get all followups for the account. \r\n\r\n- **Promises (under case+account)**\r\n    - POST /api/v1/collect/accounts/{accountid}/promises\r\n        - record promise on the account.     \r\n    - GET /api/v1/collect/accounts/{accountid}/promises\r\n        - Get promise for the account\r\n    - GET /api/v1/collect/accounts/{accountid}/promises/{promiseid}\r\n    - PUT /api/v1/collect/accounts/{accountid}/promises/{promiseid}\r\n    - GET /api/v1/collect/accounts/{accountid}/promise-controls\r\n\r\n#### Account buckets (only GetAll)\r\n- Account Buckets\r\n    - /api/v1/collect/accounts/{accountId}/buckets\r\n        - GetAll\r\n\r\n####  Endpoints\r\n- customer \r\n- **List all Accounts of the customer assigned to the collector**\r\n    - GET /api/v1/collect/customers/{customerId}/accounts?allocatedTo={collectorId}\r\n\r\n- Customer account details \r\n    - Get All /api/v1/collect/customers/{customerid}/accounts\r\n        - GET all accounts for the customer where customer is associated\r\n\r\n- Account Details\r\n    - GET /api/v1/collect/accounts/{accountId}\r\n        - Get account details using account code\r\n    - PUT /api/v1/collect/accounts/{accountId}\r\n        - Update account details using account code\r\n    - POST /api/v1/collect/accounts \r\n        - Create new Account\r\n    - GET all /api/v1/collect/accounts?customercode=code1234 (optional)\r\n        - retrun list of accounts for the customercode\r\n\r\n\r\n- **List cases in an Account**\r\n    - GET /api/v1/collect/accounts/{accountId}/cases\r\n        - Get all cases associated with the account        \r\n\r\n- **List all Accounts of the customer**\r\n    - GET /api/v1/collect/accounts?customerId={id}\r\n        - get accounts of the main borrower\r\n\r\n- Account Customer Details\r\n    - GET ALL /api/v1/collect/accounts/{accountId}/customers/  \r\n        - Get all customers which are part of the account, main/co borowwers\r\n    - POST /api/v1/collect/accounts/{accountId}/customers/  \r\n        - create new customer under an account\r\n    - PUT /api/v1/collect/accounts/{accountId}/customers/{customercode}\r\n        - update customer details\r\n    - GET /api/v1/collect/accounts/{accountId}/customers/{customercode} - Get Customer Details by code\r\n\r\n- Financial Summary\r\n    - GET /api/v1/collect/accounts/{accountId}/financials\r\n        - Get financials for the account\r\n    - POST /api/v1/collect/accounts/{accountId}/financials\r\n        - create financials entry for the account\r\n    - PUT /api/v1/collect/accounts/{accountId}/financials/{paymentHeadCode}\r\n        - update financial details for the payment head code\r\n\r\n- Schedule\r\n    - Get /api/v1/collect/accounts/{accountId}/repayments\r\n        - Get repayments for the account\r\n    - POST /api/v1/collect/accounts/{accountId}/repayments\r\n        - create a new row in the schedule\r\n\r\n    - (TBD) PUT /api/v1/collect/accounts/{accountId}/repayments/{installmentid}\r\n        - update installment details using the installment id\r\n    - (TBD) DELETE /api/v1/collect/accounts/{accountId}/repayments/{installmentid}\r\n        - Delete installment details using the installment id        \r\n\r\n- Payment\r\n    - GET /api/v1/collect/accounts/{accountId}/payments\r\n        - Get payments for the account\r\n    - POST /api/v1/collect/accounts/{accountId}/payments\r\n        - create a new payment record\r\n    - PUT /api/v1/collect/accounts/{accountId}/payments/{id} (for future)\r\n        - update existing payment record\r\n    \r\n- Asset\r\n    - Get /api/v1/collect/accounts/{accountId}/assets\r\n        - Get all assets for an account\r\n    - POST /api/v1/collect/accounts/{accountId}/assets\r\n        - create an asset for an account\r\n    - PUT /api/v1/collect/accounts/{accountId}/assets/{assetid}\r\n        - update an asset for an account\r\n\r\n- Allocation\r\n    - /api/v1/collect/accounts/{accountId}/allocations\r\n \r\n- Invoice Details\r\n    - GET /api/v1/collect/accounts/{accountId}/invoices\r\n        - Get all invoices for an account\r\n    - POST /api/v1/collect/accounts/{accountId}/invoices\r\n        - create an invoice for an account\r\n    - PUT /api/v1/collect/accounts/{accountId}/invoices/{invoiceReferenceNumber}\r\n        - update an invoice for an account\r\n\r\n- Card Details\r\n    - GET /api/v1/collect/accounts/{accountId}/cards\r\n        - Get all cards for an account\r\n    - POST /api/v1/collect/accounts/{accountId}/cards\r\n        - Create a card for an account\r\n    - PUT /api/v1/collect/accounts/{accountId}/cards/{cardId}\r\n        - Update card details for an account\r\n\r\n- Account Activities/Audit Trails\r\n    - /api/v1/collect/accounts/{accountId}/activities\r\n        - Get all activities for an account\r\n\r\n- **Account Summary**\r\n    - GET /api/v1/collect/accounts/{accountId}/summary\r\n        - GET account summary\r\n---\r\n\r\n### API details for Collection Execution Module\r\n\r\n#### Module Tasks\r\n- Create case Followup\r\n    - Action : UpsertCaseFollowups\r\n    - Module Name: CaseModule\r\n    - Endpoint URI:  /api/v1/collect/tasks/upsertCaseFollowups\r\n    - Rest Adapter will call the POST endpoint of the Collect-Module\r\n    - Module Task Schema : \r\n    ```json\r\n    {\r\n        \"customerid\":\"customerid\",\r\n        \"accounts\":[\r\n            {\r\n                \"accountid\":\"string\",\r\n                \"caseid\": \"string\",\r\n                \"promisedetails\":{},\r\n                \"followupDetails\":{}\r\n            }\r\n        ]        \r\n    }\r\n    ```\r\n\r\n---\r\n\r\n\r\n### Account Schema for the Mongo\r\n\r\n- Collection Name : account\r\n    - JSON Structure\r\n    ```json\r\n    {\r\n        \"accountId\": \"string\", //Must be unique, generated by our system, UUID\r\n        \"customerCode\": \"string\", //Main borrower customer code\r\n        \"accountType\": \"string\",\r\n        \"hostSystem\": \"string\",    // unique for host system and sourceAccountNumber\r\n        \"sourceAccountNumber\": \"string\", // unique for host system and sourceAccountNumber\r\n        \"collectionStatus\": \"string\",\r\n        \"accountStatus\": \"string\",\r\n        \"accountStatusDate\": \"2023-01-01\",\r\n        \"accountSubStatus\": \"string\",\r\n        \"lineOfBusiness\": \"string\",\r\n        \"portfolio\": \"string\",\r\n        \"product\": \"string\",\r\n        \"scheme\": \"string\",\r\n        \"totalOutstanding\": 100000.0,\r\n        \"dueCharges\": 5000.0,\r\n        \"cycleDay\": 5,\r\n        \"deliquencyStartDate\": \"2023-01-01\",\r\n        \"lastDueDate\": \"2023-06-01\",\r\n        \"lastPaymentAmount\": 2000.0,\r\n        \"lastPaymentDate\": \"2023-06-10\",\r\n        \"lastPaymentMethod\": \"UPI\",\r\n        \"currencyCode\": \"INR\",\r\n        \"nextDueDate\": \"2023-07-01\",\r\n        \"overdueAmount\": 3000.0,\r\n        \"isNpa\": false,\r\n        \"repaymentMode\": \"ECS\",\r\n        \"salesPerson\": \"John Doe\",\r\n        \"salesPersonContactNumber\": \"9999999999\",\r\n        \"sourceBranch\": \"BranchX\",\r\n        \"serviceBranch\": \"BranchX\",\r\n        \"overdueDays\": 30,\r\n        \"isFirstPaymentDefaulter\": false,\r\n        \"writeOffDate\": \"2023-08-01\",\r\n        \"writeoffAmount\": 1500.0,\r\n        \"writeoffReason\": \"Default\",\r\n        \"writeoffBy\": \"Manager\",\r\n        \"writeoffStatus\": \"string\",\r\n        \"writeoffOutstandingAmount\": 10000.0,\r\n\r\n        \"loanAccount\": {\r\n            \"interestRate\": 9.5,\r\n            \"loanAmount\": 500000.0,\r\n            \"installmentAmount\": 10000.00,\r\n            \"loanDisbursedDate\": \"2022-01-01\",\r\n            \"loanStartDate\": \"2022-01-01\",\r\n            \"loanEndDate\": \"2027-01-01\",\r\n            \"tenure\": 60, \r\n            \"remainingTenure\": 45,\r\n            \"principalOutstanding\": 10000.00,\r\n            \"interestOutstanding\": 5000.00,\r\n            \"installmentFrequency\": \"string\",\r\n            \"agreementNumber\":\"\",\r\n            \"downPayment\": 10000.00,\r\n            \"lastInstallmentAmount\": 10000.00,\r\n            \"lendingPurpose\": \"\",\r\n            \"lendingType\": \"\",\r\n            \"loanAccountAssetClassification\":\"\",\r\n            \"nextInstallmentAmount\": 10000.00,\r\n            \"totalDisbursedAmount\": 111111.11,\r\n            \"lastInstallmentDate\":\"2022-01-01\"\r\n        },\r\n\r\n        \"creditCard\": {\r\n            \"graceDays\": 20,\r\n            \"lastInvoiceAmount\": 12000.0,\r\n            \"monthOnBooks\": \"Jan\",\r\n            \"relationshipManagerName\": \"RM Name\",\r\n            \"relationshipManagerNumber\": \"9876543210\",\r\n            \"fraudDate\": \"2023-06-01\",\r\n            \"fraudStatus\": \"Cleared\",\r\n            \"blockDetails\": [\r\n                {\r\n                    \"blockBy\": \"username\",\r\n                    \"blockCode\": \"code123\",\r\n                    \"blockDate\": \"2023-06-01\"\r\n                }\r\n            ],\r\n            \"cashBalance\": 5000.0,\r\n            \"cashCreditLimit\": 10000.0,\r\n            \"creditLimit\": 25000.0,\r\n            \"isDispute\": false,\r\n            \"disputeStatus\": \"None\",\r\n            \"disputeAmount\": 0.0,\r\n            \"disputeDate\": \"2023-06-15\",\r\n            \"fosCode\": \"F123\",\r\n            \"dealerCode\": \"D456\",\r\n            \"isBillOnHold\": false,\r\n            \"holdCode\": \"H789\",\r\n            \"holdDate\": \"2023-07-01\",\r\n            \"lastSwipeAmount\": 2000.0,\r\n            \"lastSwipeDate\": \"2023-07-15\",\r\n            \"overlimitAmount\": 500.0,\r\n            \"overlimitPercent\": 10.0,\r\n            \"minPaymentAmount\": 1500.0,\r\n            \"picName\": \"PIC\",\r\n            \"picNumber\": \"9999999999\",\r\n            \"picMailId\": \"pic@example.com\",\r\n            \"activeDate\": \"2023-01-01\",\r\n            \"inActiveDate\": \"2023-12-31\",\r\n            \"unBilledAmount\": 3000.0, \r\n            \"lastBillDate\":\"2022-01-01\"\r\n        }\r\n    }\r\n    ```\r\n- Collection Name : account_payments\r\n    - JSON Structure\r\n    ```json\r\n    {\r\n        \"accountId\": \"ACC001\",\r\n        \"referenceNumber\": \"PAY123456\",\r\n        \"postingDate\": \"2023-08-01\",\r\n        \"realizationDate\": \"2023-08-02\",\r\n        \"transactionCode\": \"TXN001\",\r\n        \"paymentMode\": \"NEFT\",\r\n        \"amount\": 2500.00,\r\n        \"narration\": \"EMI payment for August\",\r\n        \"drCr\": \"CR\",\r\n        \"status\": \"REALIZED\",\r\n        \"currencyCode\": \"INR\",\r\n        \"instrumentType\": \"Cheque\",\r\n        \"instrumentDate\": \"2023-07-31\",\r\n        \"instrumentNumber\": \"CHQ998877\",\r\n        \"utrNumber\": \"UTR123456789\",\r\n        \"bankName\": \"HDFC Bank\",\r\n        \"bankCode\": \"HDFC0001234\",\r\n        \"bankBranchName\": \"MG Road Branch\"\r\n    }\r\n\r\n    ```\r\n\r\n\r\n- Collection Name : account_financials\r\n    - JSON Structure\r\n    ```json\r\n    {\r\n        \"accountId\": \"ACC001\",\r\n        \"paymentHeadCode\": \"INT\", \r\n        \"totalOutstandingAmount\": 15000.0,\r\n        \"totalPaidAmount\": 3500.0,\r\n        \"totalWaivedAmount\": 500.0,\r\n        \"totalDueAmount\": 11000.0\r\n    }\r\n    ```\r\n\r\n\r\n- Collection Name : account_repayments\r\n    - JSON Structure\r\n    ```json\r\n    {\r\n        \"accountId\": \"ACC001\",\r\n        \"installmentNumber\": \"INST001\",\r\n        \"installmentDate\": \"2023-07-01\",\r\n        \"installmentAmount\": 10000.0,\r\n        \"installmentType\": \"EMI\",\r\n        \"paidAmount\": 8000.0,\r\n        \"installmentStatus\": \"PARTIALLY_PAID\"\r\n    }\r\n    ```\r\n\r\n- Collection Name : account_assets\r\n    - JSON Structure\r\n    ```json\r\n    {\r\n        \"accountId\": \"ACC001\",\r\n        \"assetId\": \"ASSET001\",\r\n        \"assetCategoryCode\": \"CAT01\",\r\n        \"isPrimaryAsset\": true,\r\n        \"assetClass\": \"Property\",\r\n        \"assetType\": \"Residential\",\r\n        \"assetSubType\": \"Flat\",\r\n        \"assetCount\": 1,\r\n        \"perAssetPrice\": 5000000.0,\r\n        \"perAssetValuation\": 4800000.0,\r\n        \"perAssetPriceForLtv\": 4700000.0,\r\n        \"ltvAppliedPercent\": 80.0,\r\n        \"creatorCode\": \"\",\r\n        \"perAssetLtvFinanceAmount\": 3760000.0, ??\r\n        \"perAssetLtvDownPayment\": 940000.0, ??\r\n        \"allAssetLtvFinanceAmount\": 3760000.0, ??\r\n        \"allAssetLtvDownPayment\": 940000.0, ??\r\n        \"vehicles\": [\r\n            {\r\n            \"vehicleEndUsage\": \"Personal\",\r\n            \"vehicleOwnerCustomerCode\": \"CUST001\",\r\n            \"bodyTypeCode\": \"SUV\",\r\n            \"fuelTypeCode\": \"Diesel\",\r\n            \"cubicCapacity\": \"2000cc\",\r\n            \"colour\": \"White\",\r\n            \"yearOfManfacture\": \"2022-01-01\",\r\n            \"kmRun\": 15000,\r\n            \"ownershipCountCode\": \"1\",\r\n            \"vaahanIdNumber\": \"VID123\",\r\n            \"chasisNumber\": \"CHASIS001\",\r\n            \"engineNumber\": \"ENG001\",\r\n            \"registrationNumber\": \"MH12AB1234\",\r\n            \"registrationRto\": \"Pune\",\r\n            \"registrationDate\": \"2022-03-01\",\r\n            \"rtoTaxPaidUpto\": \"2023-03-01\",\r\n            \"isHypothecated\": true,\r\n            \"hypothecatedDate\": \"2022-03-01\",\r\n            \"insurer\": \"ABC Insurance\",\r\n            \"insuranceAgent\": \"Agent A\",\r\n            \"premiumAmount\": 12000.0,\r\n            \"premiumFrequency\": \"Yearly\",\r\n            \"policyReceiptDate\": \"2022-03-01\",\r\n            \"policyStartDate\": \"2022-03-01\"\r\n            }\r\n        ],\r\n        \"properties\": [\r\n            {\r\n            \"propertyUsage\": \"Self\",\r\n            \"isPropertyIdentified\": true,\r\n            \"projectName\": \"Dream Homes\",\r\n            \"unitNumber\": \"A-101\",\r\n            \"floorNumber\": \"1\",\r\n            \"buildingName\": \"Tower A\",\r\n            \"addressLine1\": \"Street 1\",\r\n            \"addressLine2\": \"Street 2\",\r\n            \"locality\": \"Kothrud\",\r\n            \"landmark\": \"Near XYZ Mall\",\r\n            \"pincode\": \"411038\",\r\n            \"areaCode\": \"AC001\",\r\n            \"cityCode\":\"\",\r\n            \"districtCode\": \"D001\",\r\n            \"stateCode\": \"MH\",\r\n            \"countryCode\": \"IN\",\r\n            \"ageOfProperty\": \"5 years\",\r\n            \"ownershipCode\": \"OWN001\",\r\n            \"reraNumber\": \"RERA123\",\r\n            \"superBuiltupArea\": 1000.0,\r\n            \"builtupArea\": 850.0,\r\n            \"carpetArea\": 700.0,\r\n            \"plotArea\": 1100.0,\r\n            \"isPlanSanctioned\": true,\r\n            \"completionPercent\": 100.0,\r\n            \"estimatedDateOfConstructionStart\": \"2020-01-01\",\r\n            \"estimatedDateOfCompletion\": \"2022-01-01\",\r\n            \"constructionSuperBuiltupArea\": 1000.0,\r\n            \"constructionBuiltupArea\": 850.0,\r\n            \"constructionCarpetArea\": 700.0,\r\n            \"projectAuthorityBoard\": \"Pune Municipal Corp\",\r\n            \"govtScheme\": \"PMAY\",\r\n            \"isParkingAvailable\": true,\r\n            \"isFloorAdded\": false,\r\n            \"isPartOfPlannedLayout\": true,\r\n            \"isGreenCertified\": false,\r\n            \"propertyAreaCategory\": \"Urban\",\r\n            \"titleClearanceStatus\": \"Clear\",\r\n            \"propertyLandStatus\": \"Freehold\",\r\n            \"isPropertyMortgaged\": true,\r\n            \"propertyMortgageType\": \"Registered\",\r\n            \"mortgageDate\": \"2022-01-15\"\r\n            }\r\n        ]\r\n    }\r\n    ```\r\n\r\n- Collection Name : account_cards\r\n    - JSON Structure\r\n    ```json\r\n    {\r\n        \"accountId\": \"ACC001\",\r\n        \"cardNumber\": \"xxxx-xxxx-xxxx-3456\",\r\n        \"cardType\": \"Visa\",\r\n        \"creditLimit\": 50000.0,\r\n        \"cardStatus\": \"Active\",\r\n        \"dateOfIssue\": \"2022-01-01\",\r\n        \"dateOfExpiry\": \"2025-01-01\"\r\n    }\r\n    ```\r\n\r\n- Collection Name : account_invoices\r\n    - JSON Structure\r\n    ```json\r\n    {\r\n        \"accountId\": \"ACC001\",\r\n        \"referenceNumber\": \"INV-202308\",\r\n        \"invoiceDate\": \"2023-08-01\",\r\n        \"invoiceFromDate\": \"2023-07-01\",\r\n        \"invoiceTillDate\": \"2023-07-31\",\r\n        \"invoiceDueDate\": \"2023-08-10\",\r\n        \"previousBalance\": 12000.0,\r\n        \"freshPurchages\": 5000.0,\r\n        \"feeCharges\": 250.0,\r\n        \"paymentReceived\": 4000.0,\r\n        \"waiverAmount\": 300.0,\r\n        \"minDueAmount\": 1500.0,\r\n        \"invoiceAmount\": 15500.0,\r\n        \"latePaymentCharges\": 200.0,\r\n        \"otherDebits\":\"\",\r\n        \"otherCredits\":\"\"\r\n    }\r\n    ```\r\n\r\n- Collection Name : account_customers\r\n    - JSON Structure\r\n    ```json\r\n    {\r\n        \"accountId\": \"ACC001\",\r\n        \"customerCode\": \"CUST001\",  // based on the dedupe fromt the customer module\r\n        \"sourceReferenceId\": \"string\",\r\n        \"customerTypeCode\": \"Individual\",\r\n        \"customerRoleCode\": \"Primary\",   // MAINBORROWER, COBORROWER\r\n        \"fullName\": \"string\",\r\n        \"relationshipCode\": \"string\", //relationship with Main borrower.\r\n        \"convenientTimeToContact\": \"string\",\r\n        \"individualDetails\":{\r\n            \"titleCode\": \"String\",\r\n            \"firstName\": \"string\",\r\n            \"middleName\": \"string\",\r\n            \"lastName\": \"string\",\r\n            \"aliasName\": \"string\",\r\n            \"genderCode\": \"string\",\r\n            \"dateOfBirth\": \"2025-09-08\",\r\n            \"placeOfBirth\": \"string\",   \r\n            \"maritalStatusCode\": \"string\",\r\n            \"spouseName\": \"string\",   \r\n            \"maidenName\": \"string\",\r\n            \"fatherName\": \"string\",\r\n            \"motherName\": \"string\",\r\n            \"motherMaidenName\": \"string\",\r\n            \"nationalityCode\": \"string\",   \r\n            \"residentialStatusCode\": \"String\",\r\n            \"religionCode\": \"string\",\r\n            \"casteCode\": \"string\",\r\n            \"educationQualificationCode\": \"string\",\r\n            \"individualOccupationCode\": \"string\",\r\n            \"selfEmployedProfessionCode\" : \"string\",\r\n            \"shareHoldingPercent\": 50.00,   \r\n            \"designation\": \"String\",    \r\n            \"department\": \"string\",\r\n            \"employeeId\": \"string\",\r\n            \"classificationCode\": \"string\",    \r\n            \"preferredLanguageCode\": \"string\", \r\n            \"isPoliticallyExposedPerson\": true,\r\n            \"isHandicapDisabledImpairment\": false,\r\n            \"companyCode\": \"string\",    \r\n            \"companyName\": \"string\",\r\n            \"dateOfJoining\": \"yyyy-MM-DD\",    \r\n            \"dateOfCommencement\":\"yyyy-MM-DD\",    \r\n            \"entityConstitution\":\"string\",    \r\n            \"natureOfBusiness\":\"string\",\r\n            \"industryCode\":\"string\",\r\n            \"subIndustryCode\":\"string\",\r\n            \"previouseCompanyCode\": \"string\",    \r\n            \"previouseCompanyName\": \"string\",\r\n        },\r\n        \"entityDetails\":{\r\n            \"companyCode\": \"String\",    \r\n            \"companyName\": \"String\",\r\n            \"entityConstitutionCode\":\"string\",    \r\n            \"natureOfBusinessCode\":\"string\",\r\n            \"industryCode\":\"string\",\r\n            \"subIndustryCode\":\"string\",\r\n            \"msmeClassificationTypeCode\":\"String\",    \r\n            \"dateOfIncorporation\":\"yyyy-MM-DD\",\r\n            \"placeOfIncorporation\":\"string\",    \r\n            \"dateOfCommencement\":\"yyyy-MM-DD\",    \r\n            \"authorizedSignaturyFullName\":\"string\",\r\n            \"authorizedSingaturyRelationWithEntity\":\"String\",\r\n            \"vintageYears\": 23,    \r\n            \"numberOfEmployees\": 85,    \r\n            \"brandName\": \"string\", \r\n            \"websiteUrl\":\"string\"    \r\n        },\r\n        \"identities\":[\r\n            {\r\n            \"identityType\":\"string\",\r\n            \"number\":\"string\",\r\n            \"details\":\"string\",\r\n            \"issuanceDate\":\"yyyy-MM-DD\",\r\n            \"expiryDate\":\"yyyy-MM-DD\",\r\n            }\r\n        ],\r\n        \"contacts\" : [\r\n            {\r\n            \"contactType\": \"string\",\r\n            \"contactValue\": \"String\",\r\n            \"isPreferred\" : true,\r\n            }\r\n        ],\r\n        \"addresses\": [\r\n            {\r\n            \"addressType\": \"string\",\r\n            \"addrSrno\": 0,\r\n            \"addressLine1\": \"string\",\r\n            \"addressLine2\": \"string\",\r\n            \"locality\": \"string\",\r\n            \"landmark\": \"string\",\r\n            \"pincode\": \"string\",\r\n            \"areaCode\": \"string\",              \r\n            \"cityCode\": \"string\",\r\n            \"districtCode\": \"string\",    \r\n            \"stateCode\": \"string\",          \r\n            \"countryCode\": \"string\",\r\n            \"ownershipType\": \"string\",    \r\n            \"propertyOwner\": \"string\",    \r\n            \"isPropertyMortgaged\": false,\r\n            \"latLong\": \"string\",\r\n            \"isPreferred\" : false\r\n            }\r\n        ]        \r\n    }\r\n    ```\r\n\r\n\r\n### Account Schema for the Elastic Search\r\n```json\r\n    {\r\n        \"accountId\": \"string\", //Must be unique, generated by our system, UUID\r\n        \"customerCode\": \"string\", //Main borrower customer code\r\n        \"accountType\": \"string\",\r\n        \"hostSystem\": \"string\",    // unique for host system and sourceAccountNumber\r\n        \"sourceAccountNumber\": \"string\", // unique for host system and sourceAccountNumber\r\n        \"collectionStatus\": \"string\",\r\n        \"accountStatus\": \"string\",\r\n        \"accountStatusDate\": \"2023-01-01\",\r\n        \"accountSubStatus\": \"string\",\r\n        \"lineOfBusiness\": \"string\",\r\n        \"portfolio\": \"string\",\r\n        \"product\": \"string\",\r\n        \"scheme\": \"string\",\r\n        \"totalOutstanding\": 100000.0,\r\n        \"dueCharges\": 5000.0,\r\n        \"cycleDay\": 5,\r\n        \"deliquencyStartDate\": \"2023-01-01\",\r\n        \"lastDueDate\": \"2023-06-01\",\r\n        \"lastPaymentAmount\": 2000.0,\r\n        \"lastPaymentDate\": \"2023-06-10\",\r\n        \"lastPaymentMethod\": \"UPI\",\r\n        \"currencyCode\": \"INR\",\r\n        \"nextDueDate\": \"2023-07-01\",\r\n        \"overdueAmount\": 3000.0,\r\n        \"isNpa\": false,\r\n        \"repaymentMode\": \"ECS\",\r\n        \"salesPerson\": \"John Doe\",\r\n        \"salesPersonContactNumber\": \"9999999999\",\r\n        \"sourceBranch\": \"BranchX\",\r\n        \"serviceBranch\": \"BranchX\",\r\n        \"isFirstPaymentDefaulter\": false,\r\n        \"writeOffDate\": \"2023-08-01\",\r\n        \"writeoffAmount\": 1500.0,\r\n        \"writeoffReason\": \"Default\",\r\n        \"writeoffBy\": \"Manager\",\r\n        \"writeoffStatus\": \"string\",\r\n        \"writeoffOutstandingAmount\": 10000.0,\r\n\r\n        \"loanAccount\": {\r\n            \"interestRate\": 9.5,\r\n            \"loanAmount\": 500000.0,\r\n            \"installmentAmount\": 10000.00,\r\n            \"loanDisbursedDate\": \"2022-01-01\",\r\n            \"loanStartDate\": \"2022-01-01\",\r\n            \"loanEndDate\": \"2027-01-01\",\r\n            \"tenure\": 60, \r\n            \"remainingTenure\": 45,\r\n            \"principalOutstanding\": 10000.00,\r\n            \"interestOutstanding\": 5000.00,\r\n            \"installmentFrequency\": \"string\",\r\n            \"agreementNumber\":\"\",\r\n            \"downPayment\": 10000.00,\r\n            \"lastInstallmentAmount\": 10000.00,\r\n            \"lendingPurpose\": \"\",\r\n            \"lendingType\": \"\",\r\n            \"loanAccountAssetClassification\":\"\",\r\n            \"nextInstallmentAmount\": 10000.00,\r\n            \"totalDisbursedAmount\": 111111.11,\r\n            \"lastInstallmentDate\":\"2022-01-01\"\r\n        },\r\n\r\n        \"creditCard\": {\r\n            \"graceDays\": 20,\r\n            \"lastInvoiceAmount\": 12000.0,\r\n            \"monthOnBooks\": \"Jan\",\r\n            \"relationshipManagerName\": \"RM Name\",\r\n            \"relationshipManagerNumber\": \"9876543210\",\r\n            \"fraudDate\": \"2023-06-01\",\r\n            \"fraudStatus\": \"Cleared\",\r\n            \"blockDetails\": [\r\n                {\r\n                    \"blockBy\": \"username\",\r\n                    \"blockCode\": \"code123\",\r\n                    \"blockDate\": \"2023-06-01\"\r\n                }\r\n            ],\r\n            \"cashBalance\": 5000.0,\r\n            \"cashCreditLimit\": 10000.0,\r\n            \"creditLimit\": 25000.0,\r\n            \"isDispute\": false,\r\n            \"disputeStatus\": \"None\",\r\n            \"disputeAmount\": 0.0,\r\n            \"disputeDate\": \"2023-06-15\",\r\n            \"fosCode\": \"F123\",\r\n            \"dealerCode\": \"D456\",\r\n            \"isBillOnHold\": false,\r\n            \"holdCode\": \"H789\",\r\n            \"holdDate\": \"2023-07-01\",\r\n            \"lastSwipeAmount\": 2000.0,\r\n            \"lastSwipeDate\": \"2023-07-15\",\r\n            \"overlimitAmount\": 500.0,\r\n            \"overlimitPercent\": 10.0,\r\n            \"minPaymentAmount\": 1500.0,\r\n            \"picName\": \"PIC\",\r\n            \"picNumber\": \"9999999999\",\r\n            \"picMailId\": \"pic@example.com\",\r\n            \"activeDate\": \"2023-01-01\",\r\n            \"inActiveDate\": \"2023-12-31\",\r\n            \"unBilledAmount\": 3000.0, \r\n            \"lastBillDate\":\"2022-01-01\"\r\n        },\r\n        \"payments\":[\r\n            {\r\n                \"referenceNumber\": \"PAY123456\",\r\n                \"postingDate\": \"2023-08-01\",\r\n                \"realizationDate\": \"2023-08-02\",\r\n                \"transactionCode\": \"TXN001\",\r\n                \"paymentMode\": \"NEFT\",\r\n                \"amount\": 2500.00,\r\n                \"narration\": \"EMI payment for August\",\r\n                \"drCr\": \"CR\",\r\n                \"status\": \"REALIZED\",\r\n                \"currencyCode\": \"INR\",\r\n                \"instrumentType\": \"Cheque\",\r\n                \"instrumentDate\": \"2023-07-31\",\r\n                \"instrumentNumber\": \"CHQ998877\",\r\n                \"utrNumber\": \"UTR123456789\",\r\n                \"bankName\": \"HDFC Bank\",\r\n                \"bankCode\": \"HDFC0001234\",\r\n                \"bankBranchName\": \"MG Road Branch\",\r\n                \"collectorCode\": \"\"\r\n            }            \r\n        ],\r\n        \"financials\":[\r\n            {\r\n                \"paymentHeadCode\": \"INT\", \r\n                \"totalOutstandingAmount\": 15000.0,\r\n                \"totalPaidAmount\": 3500.0,\r\n                \"totalWaivedAmount\": 500.0,\r\n                \"totalDueAmount\": 11000.0\r\n            }            \r\n        ],\r\n        \"repayments\" : [\r\n            {\r\n                \"installmentNumber\": \"INST001\",\r\n                \"installmentDate\": \"2023-07-01\",\r\n                \"installmentAmount\": 10000.0,\r\n                \"installmentType\": \"EMI\",\r\n                \"paidAmount\": 8000.0,\r\n                \"installmentStatus\": \"PARTIALLY_PAID\"\r\n            }            \r\n        ],\r\n        \"assets\": [\r\n            {\r\n                \"assetId\": \"ASSET001\",\r\n                \"assetCategoryCode\": \"CAT01\",\r\n                \"isPrimaryAsset\": true,\r\n                \"assetClass\": \"Property\",\r\n                \"assetType\": \"Residential\",\r\n                \"assetSubType\": \"Flat\",\r\n                \"assetCount\": 1,\r\n                \"perAssetPrice\": 5000000.0,\r\n                \"perAssetValuation\": 4800000.0,\r\n                \"perAssetPriceForLtv\": 4700000.0,\r\n                \"ltvAppliedPercent\": 80.0,\r\n                \"creatorCode\": \"\",\r\n                \"perAssetLtvFinanceAmount\": 3760000.0, ??\r\n                \"perAssetLtvDownPayment\": 940000.0, ??\r\n                \"allAssetLtvFinanceAmount\": 3760000.0, ??\r\n                \"allAssetLtvDownPayment\": 940000.0, ??\r\n                \"vehicles\": [\r\n                    {\r\n                    \"vehicleEndUsage\": \"Personal\",\r\n                    \"vehicleOwnerCustomerCode\": \"CUST001\",\r\n                    \"bodyTypeCode\": \"SUV\",\r\n                    \"fuelTypeCode\": \"Diesel\",\r\n                    \"cubicCapacity\": \"2000cc\",\r\n                    \"colour\": \"White\",\r\n                    \"yearOfManfacture\": \"2022-01-01\",\r\n                    \"kmRun\": 15000,\r\n                    \"ownershipCountCode\": \"1\",\r\n                    \"vaahanIdNumber\": \"VID123\",\r\n                    \"chasisNumber\": \"CHASIS001\",\r\n                    \"engineNumber\": \"ENG001\",\r\n                    \"registrationNumber\": \"MH12AB1234\",\r\n                    \"registrationRto\": \"Pune\",\r\n                    \"registrationDate\": \"2022-03-01\",\r\n                    \"rtoTaxPaidUpto\": \"2023-03-01\",\r\n                    \"isHypothecated\": true,\r\n                    \"hypothecatedDate\": \"2022-03-01\",\r\n                    \"insurer\": \"ABC Insurance\",\r\n                    \"insuranceAgent\": \"Agent A\",\r\n                    \"premiumAmount\": 12000.0,\r\n                    \"premiumFrequency\": \"Yearly\",\r\n                    \"policyReceiptDate\": \"2022-03-01\",\r\n                    \"policyStartDate\": \"2022-03-01\"\r\n                    }\r\n                ],\r\n                \"properties\": [\r\n                    {\r\n                    \"propertyUsage\": \"Self\",\r\n                    \"isPropertyIdentified\": true,\r\n                    \"projectName\": \"Dream Homes\",\r\n                    \"unitNumber\": \"A-101\",\r\n                    \"floorNumber\": \"1\",\r\n                    \"buildingName\": \"Tower A\",\r\n                    \"addressLine1\": \"Street 1\",\r\n                    \"addressLine2\": \"Street 2\",\r\n                    \"locality\": \"Kothrud\",\r\n                    \"landmark\": \"Near XYZ Mall\",\r\n                    \"pincode\": \"411038\",\r\n                    \"areaCode\": \"AC001\",\r\n                    \"cityCode\":\"\",\r\n                    \"districtCode\": \"D001\",\r\n                    \"stateCode\": \"MH\",\r\n                    \"countryCode\": \"IN\",\r\n                    \"ageOfProperty\": \"5 years\",\r\n                    \"ownershipCode\": \"OWN001\",\r\n                    \"reraNumber\": \"RERA123\",\r\n                    \"superBuiltupArea\": 1000.0,\r\n                    \"builtupArea\": 850.0,\r\n                    \"carpetArea\": 700.0,\r\n                    \"plotArea\": 1100.0,\r\n                    \"isPlanSanctioned\": true,\r\n                    \"completionPercent\": 100.0,\r\n                    \"estimatedDateOfConstructionStart\": \"2020-01-01\",\r\n                    \"estimatedDateOfCompletion\": \"2022-01-01\",\r\n                    \"constructionSuperBuiltupArea\": 1000.0,\r\n                    \"constructionBuiltupArea\": 850.0,\r\n                    \"constructionCarpetArea\": 700.0,\r\n                    \"projectAuthorityBoard\": \"Pune Municipal Corp\",\r\n                    \"govtScheme\": \"PMAY\",\r\n                    \"isParkingAvailable\": true,\r\n                    \"isFloorAdded\": false,\r\n                    \"isPartOfPlannedLayout\": true,\r\n                    \"isGreenCertified\": false,\r\n                    \"propertyAreaCategory\": \"Urban\",\r\n                    \"titleClearanceStatus\": \"Clear\",\r\n                    \"propertyLandStatus\": \"Freehold\",\r\n                    \"isPropertyMortgaged\": true,\r\n                    \"propertyMortgageType\": \"Registered\",\r\n                    \"mortgageDate\": \"2022-01-15\"\r\n                    }\r\n                ]\r\n            }\r\n\r\n        ],\r\n        \"cards\":[\r\n            {\r\n                \"cardNumber\": \"xxxx-xxxx-xxxx-3456\",\r\n                \"cardType\": \"Visa\",\r\n                \"creditLimit\": 50000.0,\r\n                \"cardStatus\": \"Active\",\r\n                \"dateOfIssue\": \"2022-01-01\",\r\n                \"dateOfExpiry\": \"2025-01-01\"\r\n            }            \r\n        ],\r\n        \"invoices\":[\r\n            {\r\n                \"referenceNumber\": \"INV-202308\",\r\n                \"invoiceDate\": \"2023-08-01\",\r\n                \"invoiceFromDate\": \"2023-07-01\",\r\n                \"invoiceTillDate\": \"2023-07-31\",\r\n                \"invoiceDueDate\": \"2023-08-10\",\r\n                \"previousBalance\": 12000.0,\r\n                \"freshPurchages\": 5000.0,\r\n                \"feeCharges\": 250.0,\r\n                \"paymentReceived\": 4000.0,\r\n                \"waiverAmount\": 300.0,\r\n                \"minDueAmount\": 1500.0,\r\n                \"invoiceAmount\": 15500.0,\r\n                \"latePaymentCharges\": 200.0,\r\n                \"otherDebits\":\"\",\r\n                \"otherCredits\":\"\"\r\n            }            \r\n        ]\r\n\r\n    }\r\n```","filename":"\\1.Collection.md","format":"Markdown","order":3,"title":""},{"content":"## Batch Process Handling\r\n\r\n### Overview\r\n- Currently LMS is doing real time handoff to the collect system during LMS EOD/BOD batch execution and biz date orchestration. \r\n- Collect module is receiving the data and storing the relevant mongo collections and publish ACCOUNT_UPDATED or ACCOUNT_CREATED events. \r\n- Consumer of the events written in the collect Module is doing following account level calculations and processing: \r\n    - Update Overdue Days for an Account\r\n    - Calculate Bucket of an Account\r\n    - Collector payment tracking\r\n    - Track Promise installment against payment Data\r\n    - Deliquency Cycle String calculation\r\n    - **Reset Current Allocation** : pre allocation BRE ==> reset allocation\r\n    - Publish Event for the account ACCOUNT_PREPROCESSING_COMPLETED/ACCOUNT_PREPROCESSING_FAILED\r\n\r\n- Consumer of ACCOUNT_CREATED and ACCOUNT_UPDATED events also keeps track of the number of accounts created, updated, failed\r\n- Consumer of the ACCOUNT_PREPROCESSING_COMPLETED/ACCOUNT_PREPROCESSING_FAILED events also keeps track of the number of accounts processed successfully or failed\r\n    - Take a mongo collection to store the counts of accounts created, updated, failed and processed for each batch execution date. This will help in monitoring and alerting purposes. We can set up alerts if the number of failed accounts exceeds a certain threshold.\r\n\r\n- We need separate batch job for allocation and assignment as they are independent of the account level calculations and can be triggered based on the queue definition.\r\n\r\n### Flow of the Batch Process\r\nEntire Collect EOD process is divided into following steps: \r\n- LMS EOD/BOD batch sends events to Collect module for account updates and creation.\r\n    - Consumer in Collect Module will do following processing for each account and publish ACCOUNT_PREPROCESSING_COMPLETED/ACCOUNT_PREPROCESSING_FAILED events.\r\n        - Update Overdue Days for an Account\r\n        - Calculate Bucket of an Account\r\n        - Collector payment tracking\r\n        - Track Promise installment against payment Data\r\n        - Deliquency Cycle String calculation\r\n        - EOD pre-processing business rule execution for the account\r\n- Scheduler in the batch module will trigger the Biz date change event in the org module which will initiate the biz date change event and publish an event for the COLLECT_TARGET_BUSINESS_DATE_UPDATED event. \r\n- Consumer in the batch module for the COLLECT_TARGET_BUSINESS_DATE_UPDATED event will start the allocation and reassignment batch job via publishing an event. Consumer in the collect module will do the allocaiton and reassignment and publish ALLOCATION_COMPLETED event after the processing is completed.\r\n- Consumer in the batch module will listen to the ALLOCATION_COMPLETED event and trigger the Priority and Sequencing batch job. Consumer in the collect module will do the priority and sequencing of accounts which are assigned in the queue and publish PRIORITY_AND_SEQUENCING_COMPLETED event after the processing is completed.\r\n- Consumer in the batch module will listen to the PRIORITY_AND_SEQUENCING_COMPLETED event and trigger the Post allocation bre batch job by publishing an event. Consumer in the collect module will do the BRE execution for all accounts which are allocated in the queue and publish POST_ALLOCATION_BRE_COMPLETED event after the processing is completed.\r\n- Consumer in the batch module will listen to the POST_ALLOCATION_BRE_COMPLETED event and publish COLLECT_BUSINESS_DATE_CHANGE_COMPLETED event which will consumed by the org module to mark the biz date change process as completed and update the biz date in the system.\r\n\r\n### Common Flow\r\n- Business date update batch job will be triggered in 3 ways : \r\n    - Scheduler Trigger (Batch Module)\r\n        - Each tenant will have a seperate scheduler configuration which will trigger the batchjob on schedule date and time and pass the target as biz date and collect as system. This will be done by publishing and event COLLECT_TARGET_BUSINESS_DATE_CHANGE_INITIATED (send tenantcode, system=collect and target biz date in body)\r\n        - **Org Module** will subscribe to this event and set the target date in the tenant_business_dates table and publish COLLECT_TARGET_BUSINESS_DATE_UPDATED event. \r\n    - Batch Job Trigger (Optional) (Batch Module)\r\n        - This trigger is manual via UI by the tenant admin. ask for the biz date as input. This will publish COLLECT_TARGET_BUSINESS_DATE_CHANGE_INITIATED event \r\n        - **Org Module** will subscribe this event and set the target date in the tenant_business_dates table and publish COLLECT_TARGET_BUSINESS_DATE_UPDATED event. \r\n    - Trigger through manaul update in the tenant_business_dates table. \r\n        - **API in Org Module** which will be invoked using the MDM\r\n        - When tenant admin changes the target date in the tenant_business_dates table through MDM, it will publish the COLLECT_TARGET_BUSINESS_DATE_UPDATED event\r\n\r\n- COLLECT_TARGET_BUSINESS_DATE_UPDATED Processor (Batch Module)\r\n    - This processor will be implemented in the **batch module** which will trigger the allocation batch job for that tenant.\r\n\r\n- COLLECT_BUSINESS_DATE_CHANGE_COMPLETED processor (Org Module)\r\n    - This will update the current biz date. \r\n    - This processor will check if the target_date > bizdate then again invoke the batch job by pubishing the event COLLECT_BUSINESS_DATE_UPDATED. \r\n\r\n\r\n\r\n### ACCOUNT_UPDATED/ACCOUNT_CREATED events consumer in Collect Module\r\n- Processor name : AccountPreProcessor\r\n- Consumer will do the account level calculations and processing as mentioned above and publish ACCOUNT_PREPROCESSING_COMPLETED/ACCOUNT_PREPROCESSING_FAILED events.\r\n- Consumer will also keep track of the number of accounts created, updated, failed and logs the same for monitoring and alerting purposes.\r\n- No seperate batch job is needed for this as the consumer will be doing the processing in real time as the events are received.\r\n- Following processing are done as a part of the consumer: \r\n    - Update Overdue Days for an Account\r\n    - Calculate Bucket of an Account\r\n    - Collector payment tracking\r\n    - Track Promise installment against payment Data\r\n    - Deliquency Cycle String calculation\r\n    - EOD pre-processing business rule execution for the account\r\n    - Publish Event for the account ACCOUNT_PREPROCESSING_COMPLETED/ACCOUNT_PREPROCESSING_FAILED\r\n\r\n\r\n### Allocation and Reassignment \r\n- We will have separate batch job for allocation and reassignment as they are independent of the account level calculations and can be triggered based on the queue definition.\r\n- Flow for allocation and reassignment will be as follows: \r\n    - Batch Module will trigger allocation and reassignment batch job based on the queue definition and schedule.\r\n    - Allocation batch job will publish an event which will be consumed by the collect module to do the allocation and reassignment processing for the accounts.\r\n\r\n\r\n### Allocation Batch \r\n- Module Name : Batch Module\r\n- Processor name : AllocationProcessor\r\n- Event name : ALLOCATION_TRIGGERED/COLLECT_TARGET_BUSINESS_DATE_UPDATED\r\n- Consumer of this event will invoke the batch job which will be responsible for doing the allocation and reassignment processing for the accounts. currently it will trigger allocationbatch but after worklist batch implemenation it will trigger worklist batch.\r\n\r\n\r\n### Priority and Sequencing Batch\r\n- Module Name : Batch Module\r\n- Processor name : PriorityAndSequencingProcessor\r\n- Event name : PRIORITY_AND_SEQUENCING_TRIGGERED/ALLOCATION_COMPLETED\r\n- Consumer of this event will invoke the batch job name QueuePrioritySequenceBatchJob which will be responsible for doing the priority and sequencing of accounts which are assigned in the queue. This batch job will also be triggered by the ALLOCATION_COMPLETED event after the allocation batch job is completed.\r\n\r\n### Post Allocation BRE execution Batch\r\n- Module Name : Batch Module\r\n- Processor name : PostAllocationBREProcessor\r\n- Event name : POST_ALLOCATION_BRE_TRIGGERED/PRIORITY_AND_SEQUENCING_COMPLETED\r\n- Consumer of this event will invoke the batch job name PostAllocationBREBatchJob which will be responsible for doing the BRE execution for all accounts which are allocated in the queue. This batch job will also be triggered by the ALLOCATION_COMPLETED event after the allocation batch job is completed.\r\n\r\n### PostAllocationBREBatchJob\r\n- Module Name : Batch Module\r\n- Name: PostAllocationBREBatchJob\r\n- Steps:\r\n  - Step 1 : Count eligible accounts from the accounts table and make a generate batch table entry with the job name, execution id, total records to process (which will be count of eligible accounts) and status as IN_PROGRESS.\r\n  - Step 2 : PUblish events for each eligible account with the jobname, batch execution id and account id. POST_ALLOCATION_BRE_INTIATED event will be published for each eligible account.\r\n  - Step 3 : Consumer in Collect Module will listen to the event. It will first make an entry in the post_allocation_bre_run_summary table with status as IN_PROGRESS and process the BRE execution for the account. After processing the BRE for the account, it will update the post_allocation_bre_run_summary table entry for the account with the status as COMPLETED. If total accounts count matches with the processed accounts count then it will update the generic batch table entry with status as COMPLETED.\r\n  - Step 4 : mark the job as completed in batch module after publishing all the events.\r\n  \r\n### Consumer in collect Module :\r\n- Name: PostAllocationBREProcessor\r\n- Event POST_ALLOCATION_BRE_INTIATED will be consumed by this processor.\r\n- It will make an entry in the post_allocation_bre_run_summary table for each account with the Job Name, batch execution id, account id and status as IN_PROGRESS.\r\n- It will fetch the account details from the accounts table and do the BRE execution for the account. After processing the BRE for the account, it will update the post_allocation_bre_run_summary table entry for the account with the status as COMPLETED. If total accounts count matches with the processed accounts count then it will update the generic batch table entry with status as COMPLETED.\r\n\r\n### Complete Batch Job\r\n- **Job Name : BatchCompletionJob (existing)**\r\n  - This job will run periodically to check for any batch jobs  which are in IN_PROGRESS status (generat batch summary table_ for more than a threshold time (say 2 hours) and mark them as FAILED/TIMEOUT if they are not completed within the threshold time. This is to handle any failure scenarios where the events are not processed or there is some issue in processing the events.\r\n  - Event Name : GENERIC_BATCH_RECONCILIATION_SCHEDULED\r\n  - Consumer : GenericReconciliationScheduledEventProcessor\r\n  - Steps :\r\n    - Step 1 : Fetch all batch entries with status IN_PROGRESS older than the threshold time from the batch_execution_summary table.\r\n    - Step 2 : For each entry, fetch the job name and execution id and publish GENERIC_BATCH_RECONCILIATION_INITIATED event to reconcile the batch status.\r\n    - Step 3 : The event processor will hand it over to the respective handler processor based on the job name. For example, if the job name is QueuePrioritySequenceBatchJob, it will hand it over to QueuePrioritySequenceReconciliationProcessor.\r\n    - Step 4 : The handler processor will check the number of Nodes count in the generic batch summary table and count number of records in the priority_sequence_run_summary table for the same batch execution id and if the count matches then it will mark the batch job as COMPLETED otherwise it will mark it as FAILED/TIMEOUT based on the time difference between the current time and the batch start time.\r\n\r\n  - **GenericBatchReconcilationProcessor** : \r\n    - consumer GENERIC_BATCH_RECONCILIATION_SCHEDULED event and hand it over to respective processor based on the job name.\r\n\r\n- **QueuePrioritySequenceReconciliationProcessor** :\r\n    - This processor will handle the reconciliation for QueuePrioritySequenceBatchJob. It will fetch the batch execution summary and priority_sequence_run_summary for the given batch execution id and compare the total nodes count with the processed count. If they match then it will mark the batch job as COMPLETED otherwise it will mark it as FAILED/TIMEOUT based on the time difference between the current time and the batch start time.\r\n\r\n- **PostAllocationBREReconcilationProcessor** :\r\n    - This processor will handle the reconciliation for PostAllocationBREBatchJob. It will fetch the batch execution summary and post_allocation_bre_run_summary for the given batch execution id and compare the total accounts count with the processed count. If they match then it will mark the batch job as COMPLETED otherwise it will mark it as FAILED/TIMEOUT based on the time difference between the current time and the batch start time.\r\n\r\n\r\n\r\n### scheduled communication collection \r\n- This Mongo Collection will store the communication details which are scheduled to be sent to the customers. This collection will be used by the scheduledCommunicationBatchJob to fetch the communication details and send the communication to the customers. This collection will have the following fields: \r\n    - tenantCode\r\n    - accountId\r\n    - communicationType (SMS, Email, WhatsApp etc)\r\n    - data (key value pair which will be used to populate the communication template)\r\n    - status (Scheduled, Sent)\r\n\r\n\r\n### ScheduledCommunicationBatchJob\r\n- This batch job will be responsible for sending the scheduled communications to the customers. This job will be invoked on a schedule time and it will fetch the communication details from the scheduled communication collection and publish events to collect module. \r\n- Event Name : SCHEDULED_COMMUNICATION_TRIGGERED\r\n- Consumer in collect module will listen to this event and trigger a batch job ScheduledCommunicationBatchJob.\r\n- Steps : \r\n    - Step 1 : Count number of events to be processed from the scheduled communication collection and make an entry in the generic batch summary table with the job name, batch execution id, total records to process and status as IN_PROGRESS.\r\n    - Step 2 : Publish events for each communication to be sent with the batch execution id and communication details. Event name can be SCHEDULED_COMMUNICATION_INTIATED.\r\n    - Step 3 : Consumer in Collect Module will listen to the event. It will first make an entry in the run summary table with status as IN_PROGRESS and process the communication for the customer. After processing the communication, it will update the run summary table entry for the communication with the status as COMPLETED. If total communication count matches with the processed communication count then it will update the generic batch table entry with status as COMPLETED.\r\n    - Step 4 : mark the job as completed in batch module after publishing all the events.\r\n\r\n### Consumer in collect Module :\r\n- Name: ScheduledCommunicationProcessor\r\n- Event SCHEDULED_COMMUNICATION_INTIATED will be consumed by this processor.\r\n- It will make an entry in the run summary table for each communication with the Job Name, batch execution id, communication details and status as IN_PROGRESS.\r\n- It will fetch the communication details from the event and send the communication to the customer. After processing the communication, it will update the run summary table entry for the communication with the status as COMPLETED. If total communication count matches with the processed communication count then it will update the generic batch table entry with status as COMPLETED.","filename":"\\10.Batch.md","format":"Markdown","order":4,"title":""},{"content":"## Activity History\r\nActivity History is a feature that allows you to track and view the history of activities performed on a module. This includes actions such as creating, updating, and deleting records, as well as any other significant events related to the module.\r\n\r\n","filename":"\\11.ActivityHistory.md","format":"Markdown","order":5,"title":""},{"content":"## Manual Bulk Reallocation\r\nManual Bulk Reallocation is a process that allows users to reallocate a large number of records from one queue to another queue. This feature is particularly useful when there is a need to transfer ownership of records due to changes in team structure, queue configuration, addition or deletion of the queue node or any other reason that requires mass reallocation of records.\r\n\r\n### Implementation Details\r\n\r\n- Post API to fetch eligible records in a queue based on filter criteria: \r\n    - Endpoint: `POST /api/cem/queues/records`\r\n    - Request Body:\r\n    ```json\r\n    {\r\n        \"sourceQueueFqdn\": \"string\",\r\n        \"criteria\": {\r\n            // criteria for selecting records to reallocate\r\n        }\r\n    }\r\n    ```\r\n\r\n- GET api to get the queue configuration details:\r\n    - Endpoint: `GET /api/cem/queues/{queueFqdn}`\r\n\r\n- Collect Module : \r\n    - POST /api/v1/collect/queues/{queueFqdn}/eligible-cases\r\n        - This API will be used by the Collect Module to fetch the cases allocated to a particular queue.\r\n    - GET /api/v1/collect/queues/{queueFqdn}/stats?collectorId={collectorId}\r\n        - This API will be used by the Collect Module to fetch the case stats for the collector in a particular queue.\r\n\r\n- The Manual Bulk Reallocation Post Request API : \r\n    - Endpoint: `POST /api/collect/bulk-reallocation`\r\n    - Request Body:\r\n    ```json\r\n    {\r\n        \"sourceQueueFqdn\": \"string\",\r\n        \"criteria\": {\r\n            // criteria for selecting records to reallocate\r\n        },\r\n        \"targetQueueFqdn\": \"string\",\r\n        \"queueConfig\":{\r\n            //entire queue config node\r\n        },\r\n        \"remarks\":\"string\",\r\n        \"status\": \"PENDING\" // default value when request is created\r\n    }\r\n    ```\r\n- The API will validate the request parameters and save the bulk reallocation request in the database. It will then trigger the batch job for processing the reallocation.\r\n- It will publish an event `BULK_REALLOCATION_REQUESTED` with the details of the reallocation request, which will be consumed by the batch job to start processing the reallocation.\r\n\r\n- Consumer in Collect Module:\r\n    - ManualReAllocationProcessor: This consumer will listen to the `BULK_REALLOCATION_REQUESTED` event and trigger the manual reallocation domain service.\r\n\r\n**Collect Module**\r\n\r\n- Name: ManualBulkReallocationService\r\n- Steps: \r\n    1. Fetch the bulk reallocation request details from the database.\r\n    2. Validate the source and target queues and the criteria for selecting records.\r\n    3. Fetch records from the source queue based on the specified criteria.\r\n    4. For all the records, call the queue engine to reallocate the records to the target queue.\r\n    5. Update the status of the bulk reallocation request in the database after processing each work item.\r\n    6. Handle any exceptions or errors that occur during the reallocation process and update the status accordingly.\r\n\r\n","filename":"\\12.BulkReallocation.md","format":"Markdown","order":6,"title":""},{"content":"## Queue Priority and Sequence\r\nIn a collect system, managing the priority and sequence of tasks is crucial for ensuring efficient processing and resource allocation. The Queue Priority and Sequence feature allows you to define the order in which tasks are prompted to the collector. \r\n\r\nPriority and sequence are only relevant for the user node type but we are allowing it for all nodes for the easy maintenance. \r\n\r\nQueue configuration is already having the selection tag which defines it. \r\n\r\n```json\r\n  \"selection\": {                              // OPTIONAL; generic shapes\r\n    \"inheritToChildren\": true,                //config inherited by child queues or not\r\n    \"priority\": [\r\n      { \"name\": \"CRITICAL\", \"criteria\": \"attr('riskScore') >= 90\" },\r\n      { \"name\": \"HIGH\",     \"criteria\": \"attr('riskScore') >= 70 && attr('riskScore') < 90\" },\r\n      { \"name\": \"NORMAL\",   \"criteria\": \"true\" }\r\n    ],\r\n    \"sequence\": [\r\n      { \"field\": \"riskScore\", \"order\": \"DESC\" },\r\n      { \"field\": \"amount\",    \"order\": \"DESC\" },\r\n      { \"field\": \"createdAt\", \"order\": \"ASC\"}\r\n    ]\r\n  }\r\n```\r\n- Here, priority defines which all accounts we have to pick first so it's kind of group by condition and sequence defines the order by condition for picking the records.\r\n\r\n### Implementation Details\r\nSeparate Batch Job will run for processing the priority and sequence of the records in the queue. This batch job will be triggered after allocation batch job. \r\n\r\n#### Batch Module  \r\n- Name: QueuePrioritySequenceBatchJob\r\n- Steps:\r\n  - Step 1 : Count eligible Queue nodes which are having accounts allocated in the case allocation table. \r\n  - Step 2 : Make generic batch table entry with the job name, execution id, total records to process (which will be count of eligible queue nodes) and status as IN_PROGRESS.\r\n  - Step 3 : Publish events for each eligible queue node with the batch execution id and queue fqdn. QUEUE_PRIORITY_SEQUENCE_INTIATED event will be published for each eligible queue node.\r\n  - Step 4 : Consumer in Collect Module will listen to the event and process the priority and sequence for the queue and update the batch table entry with the processed count and status as COMPLETED after processing each queue node. Also consumer will update the priority_sequence_run_summary table and update it's own record.\r\n  - Step 5 : mark the job as completed in batch module after publishing all the events.\r\n\r\n\r\n#### Consumer in collect Module\r\n- Name: QueuePrioritySequenceProcessor\r\n- Event QUEUE_PRIORITY_SEQUENCE_INTIATED will be consumed by this processor. \r\n- It will make an entry in the priority_sequence_run_summary table for each queue node with the batch execution id, queue fqdn, total records to process and processed count as 0 and status as IN_PROGRESS.\r\n- It will fetch the accounts allocated to the queue from the case allocation table and apply the priority and sequence logic on those records. After processing the records, it will update the processed count in the priority_sequence_run_summary table and also update the batch table entry in batch module with the processed count. After processing all the records for the queue, it will update the status as COMPLETED in priority_sequence_run_summary table.\r\n- When all the Nodes are processed then generic batch summary will be marked as COMPLETED in collect module.\r\n\r\n\r\n#### Reconciliation Job in Batch Module\r\n- **Job Name : BatchCompletionJob (existing)**\r\n  - This job will run periodically to check for any batch jobs which are in IN_PROGRESS status for more than a threshold time (say 2 hours) and mark them as FAILED/TIMEOUT if they are not completed within the threshold time. This is to handle any failure scenarios where the events are not processed or there is some issue in processing the events.\r\n  - Event Name : GENERIC_BATCH_RECONCILIATION_SCHEDULED\r\n  - Consumer : GenericReconciliationScheduledEventProcessor\r\n  - Steps :\r\n    - Step 1 : Fetch all batch entries with status IN_PROGRESS older than the threshold time from the batch_execution_summary table.\r\n    - Step 2 : For each entry, fetch the job name and execution id and publish GENERIC_BATCH_RECONCILIATION_INITIATED event to reconcile the batch status.\r\n    - Step 3 : The event processor will hand it over to the respective handler processor based on the job name. For example, if the job name is QueuePrioritySequenceBatchJob, it will hand it over to QueuePrioritySequenceReconciliationProcessor.\r\n    - Step 4 : The handler processor will check the number of Nodes count in the generic batch summary table and count number of records in the priority_sequence_run_summary table for the same batch execution id and if the count matches then it will mark the batch job as COMPLETED otherwise it will mark it as FAILED/TIMEOUT based on the time difference between the current time and the batch start time.\r\n\r\n#### Reconciliation Processor in Collect Module\r\n- **GenericBatchReconcilationProcessor** : \r\n  - consumer GENERIC_BATCH_RECONCILIATION_SCHEDULED event and hand it over to respective processor based on the job name. For example, if the job name is QueuePrioritySequenceBatchJob, it will hand it over to QueuePrioritySequenceReconciliationProcessor.\r\n    \r\n- **QueuePrioritySequenceReconciliationProcessor** :\r\n  - This processor will handle the reconciliation for QueuePrioritySequenceBatchJob. It will fetch the batch execution summary and priority_sequence_run_summary for the given batch execution id and compare the total nodes count with the processed count. If they match then it will mark the batch job as COMPLETED otherwise it will mark it as FAILED/TIMEOUT based on the time difference between the current time and the batch start time.","filename":"\\13.PrioritySequence.md","format":"Markdown","order":7,"title":""},{"content":"### Account Level Computations\r\n- This process get triggerd once the account is udpated or account is created. \r\n- Trigger: ACCOUNT_CREATED or ACCOUNT_UPDATED\r\n- AccountProcessor will consume this event and do the following steps sequentially. This processor will call the domain services to delegate the processing. Service will do the necessary processing and update the results in the respective tables. \r\n- event structure : \r\n```json\r\n{\r\n    \"accountId\": \"string\"\r\n}\r\n```\r\n\r\n#### Update Overdue Days for an Account\r\n- calculate overdues based on the overdue config\r\n- OverdueService → compute overdue days\r\n- stamp peak overdue days in the summary table as well if this is greater than already stamped\r\n\r\n#### Calculate Bucket of an Account\r\n- Calculate buckets based on the bucket config.\r\n- calculate bucket aging amount\r\n- BucketService → account level bucket classification. \r\n\r\n#### Collector payment tracking\r\n - collector to payment id mapping and storing in the table. \r\n\r\n#### Track Promise installment against payment Data\r\n- Tracek promise and it's installment status as per the promise config and payment data received for that day\r\n- PromiseTrackerService → reconcile promise installments with payments for “today”\r\n\r\n#### Deliquency Cycle String calculation\r\n- calculate deliquency string\r\n- DelinquencyService → build delinquency string\r\n\r\n#### Reset Current Allocation\r\n- reset current allocation based on the reset allocation rules. \r\n- AllocationResetService → conditionally reset current allocation\r\n\r\n#### Publish Event for the account \r\n- publish calculation completed event for the account. \r\n- AccountEventsPublisher → publish AccountCalculationsCompleted\r\n- ACCOUNT_CALCULATION_COMPLETED/ACCOUNT_CALCULATION_FAILED\r\n\r\n\r\n### Allocation and assignment batch jobs\r\n- Once above calculation are done for all the accounts then allocation will be triggered where we need to find the eligible account which are available for either fresh allocation or reallocation.\r\n- Following will gets triggered based on the queue definition.\r\n- Batch job will read accounts in the chunks and do the following. \r\n\r\n#### Allocate Account to the Queue\r\n- In this phase, account will get allocated to the queue based on the criteria or distribution (as per the queue definition). Queue level accumulators gets updated based on the same.\r\n\r\n#### Create or Update Case for an Account\r\n- Once the case lands in the leaf queue either fresh case will be created or if they are part of the same customer then it will get updated in the existing case. \r\n\r\n#### Allocate Case to the collector\r\n- In this phase, case will be assigned to the collector based on the assignment strategy and it's priority and sequencing will gets updated. \r\n\r\n\r\n### Queue definition collection structure : \r\n\r\n- Sample for the Root node :\r\n\r\n```json\r\n{\r\n    \"queueCode\" :  \"ROOT\",\r\n    \"description\" : \"string\",\r\n    \"parentQueueCode\" : \"String\", //null for the root\r\n    \"supervisor\" : \"userid1\",\r\n    \"sequence\" : 1,\r\n    \"isActive\" : true,\r\n    \"isRoot\" : true,\r\n    \"isLeaf\": false,\r\n    \"depth\" : 1, //increment for each child in the tree\r\n    \"type\" : \"CRITERIA\", // CRITERIA or PERCENT\r\n    \"percentage\": null, // only if parent is allowing child as percent based. \r\n    \"filters\" : [\r\n\t    {\t\t\r\n\t    }\r\n\t],\r\n    \r\n    \"childQueueType\": \"PERCENT\", //PERCENT,CRITERIA\r\n    \"childPercentBasedOn\" : \"TOTAL_ACCOUNTS\", //incase child is percent based TOTAL_ACCOUNTS, TOTAL_OUTSTANDING, PRINCIPAL_OUTSTANDING, OVERDUE_AMOUNT, WRITEOFF_OUTSTANDING\r\n    \"subQueues\":[\r\n\t    {\r\n\t\t    \"code\" :  \"CHILD1\", //60%\r\n\t    },\r\n\t    {\r\n\t\t    \"code\" :  \"CHILD2\",  //40%\r\n\t    },        \r\n    ]\r\n}\r\n```\r\n\r\n- Sample for the Child1 node :\r\n\r\n```json\r\n{\r\n    \"queueCode\" :  \"CHILD1\",\r\n    \"description\" : \"child1\",\r\n    \"parentQueueCode\" : \"ROOT\",\r\n    \"supervisor\" : \"userid2\",\r\n    \"sequence\" : 1,\r\n    \"isActive\" : true,\r\n    \"isLeaf\": true,\r\n    \"depth\" : 2, //increment for each child in the tree\r\n    \"type\" : \"PERCENT\", // CRITERIA or PERCENT\r\n    \"percentage\": 60.00 // only if parent is allowing child as percent based. \r\n}\r\n```\r\n\r\n- Sample for the Child1 node :\r\n\r\n```json\r\n{\r\n    \"queueCode\" :  \"CHILD2\",\r\n    \"description\" : \"child2\",\r\n    \"parentQueueCode\" : \"ROOT\",\r\n    \"supervisor\" : \"userid3\",\r\n    \"sequence\" : 2,\r\n    \"isActive\" : true,\r\n    \"isLeaf\": true,\r\n    \"depth\" : 2, //increment for each child in the tree\r\n    \"type\" : \"PERCENT\", // CRITERIA or PERCENT\r\n    \"percentage\": 40.00 // only if parent is allowing child as percent based. \r\n}\r\n```\r\n\r\n- Possible criteria attributes:\t\t\r\n    - Secured/Unsecured\t\r\n    - Line of business\t\r\n    - Portfolio\t\r\n    - Product\t\r\n    - Repayment frequency\t\r\n    - Cycle day\t\r\n    - Overdue days\t\r\n    - Bucket\t\r\n    - Total outstanding amount\t\r\n    - NPA\t\r\n    - Write off status\t\r\n    - Write off reason\t\r\n    - First payment defaulter\t\r\n    - Preferred address locality\r\n    - Preferred address city\r\n    - Preferred address state\r\n    - Preferred address zip\r\n    - Orignating branch code\r\n    - Servicing branch code\r\n    - Fraud status\r\n    - Dispute status\r\n\r\n\t\r\n### Queue allocation definition : \r\n- Allocation can only be defined for the Leaf nodes in the queue so we have to check isLeaf = true then only below will be allowed. \r\n\r\n```json\r\n{\r\n\t\"queueCode\": \"string\",\r\n    \"isRetainAllocation\": true,              // queue-level switch that changes rules\r\n    \"reentry\": {                             // special handling for returning cases\r\n        \"policy\": \"STICKY_PREVIOUS_ASSIGNEE\",  // always try to reassign to previous assignee\r\n        \"maxLookbackDays\": 180,                // ignore very old history, global level\r\n        \"whenAssigneeUnavailable\": \"ALLOCATION_POLICY\", // ALLOCATION_POLICY\r\n        \"whenAssigneeAtLimit\": \"ALLOCATION_POLICY\", // ALLOCATION_POLICY\r\n    },    \r\n    \"allocationStrategy\": {\r\n        \"method\": \"FRESH_AND_MAX_LIMIT\", //NO_ALLOCATION, MAX_LIMIT, CRITERIA_BASED, FRESH_ACCOUNTS, FRESH_AND_MAX_LIMIT, TOTAL_ACCOUNTS, TOTAL_AND_MAX_LIMIT\r\n        \"basis\": \"TOTAL_ACCOUNTS\",//TOTAL_ACCOUNTS, TOTAL_OUTSTANDING, PRINCIPAL_OUTSTANDING, OVERDUE_AMOUNT, WRITEOFF_OUTSTANDING\r\n        \"limits\": {\r\n            \"defaultMaxPerAssignee\": 400,\r\n            \"overLimit\": {\r\n                \"policy\": \"REDIRECT_TO_ASSIGNEE\",   // SKIP_CASE | REDIRECT_TO_ASSIGNEE | REDISTRIBUTE_REMAINDER\r\n                \"assigneeRef\": \"user:supervisor-001\"\r\n            }\r\n        }\r\n    },  \r\n    \"assignees\": [\r\n        {\r\n            \"ref\": \"user:john.doe\",\r\n            \"type\": \"USER\",\r\n            \"maxLimit\": 350,   //for the user for this queue\r\n            \"percentShare\": 50.0,\r\n            \"filters\": [\"product in ['PL','AL']\"]   // assignee-level filter\r\n        },\r\n        {\r\n            \"ref\": \"user:jane.smith\",\r\n            \"type\": \"USER\",\r\n            \"maxLimit\": 350,   //for the user for this queue            \r\n            \"percentShare\": 50.0,\r\n            \"filters\": [\"product in ['PL','AL']\"]   // assignee-level filter\r\n        },\r\n        {\r\n            \"ref\": \"agency:AGY-MUM-01\",\r\n            \"type\": \"AGENCY\",\r\n            \"maxLimit\": 350,   //for the agency\r\n            \"percentShare\": 50.0,\r\n            \"filters\": [\"product in ['PL','AL']\"],   // assignee-level filter\r\n            \"allocation\": { \r\n                \"method\": \"FRESH_ACCOUNTS\",  //NO_ALLOCATION, CRITERIA_BASED, FRESH_ACCOUNTS\r\n                \"basis\": \"OVERDUE_AMOUNT\"  // basis same as the agency or user level\r\n            }, \r\n            // retention policy, will be same as the agency or user level.            \r\n            \"children\": [\r\n                { \"ref\": \"user:agy.agent01\", \"type\": \"USER\", \"percentShare\": 60.0,  \"filters\":[] },\r\n                { \"ref\": \"user:agy.agent02\", \"type\": \"USER\", \"percentShare\": 40.0,  \"filters\":[] }\r\n            ]\r\n        }\r\n    ],\r\n\r\n    \"selection\": {\r\n        \"priority\": [\r\n            { \"name\": \"DPD60+\", \"criteria\": \"dpd>=60\" },\r\n            { \"name\": \"DPD30-59\", \"criteria\": \"dpd between [30,59]\" }\r\n        ],\r\n        \"sequence\": [\r\n            { \"field\": \"dpd\", \"order\": \"DESC\" },\r\n            { \"field\": \"overdueAmount\", \"order\": \"DESC\" },\r\n            { \"field\": \"lastContactAt\", \"order\": \"ASC\", \"nulls\": \"LAST\" }\r\n        ]\r\n    }          \r\n}\r\n```\r\n- **How to identify reentry case and it's allocation**\r\n    - search using the accountcode and queuecode in the allocation table and pick the latest collector \r\n- **Policy options during overflow/over limit**\r\n    - SKIP_CASE → skip any case that would exceed an assignee’s limit, leave them unassigned.\r\n    - REDIRECT_TO_ASSIGNEE → send all leftover to a specific backup (e.g., supervisor user or special agency).\r\n    - REDISTRIBUTE_REMAINDER → take leftover and re-split across assignees who still have room, ignoring original percent splits.\r\n\r\n","filename":"\\2.BatchProcess.md","format":"Markdown","order":8,"title":""},{"content":"## Collect Handoff\r\n\r\n\r\n### Endpoints in the collect Execution module\r\n\r\n#### Create Account API\r\n- POST /api/v1/handoff/accounts\r\n- Create a minimal account record if it doesn’t already exist (idempotent on (hostSystem, sourceAccountNumber)).\r\n- Idempotency key (natural): hostSystem + sourceAccountNumber (backed by a unique compound index).\r\n\r\n- Returns:\r\n    - 201 Created when a new account row is inserted\r\n    - 200 OK when an account already exists\r\n\r\n- Request json\r\n```json\r\n{\r\n  \"hostSystem\": \"LMS\",\r\n  \"sourceAccountNumber\": \"LAN123456\", \r\n  \"accountType\": \"LOAN\",                  // e.g., LOAN | CARD\r\n  \"customerCode\": \"CUST001\",              // main borrower code\r\n  \"currencyCode\": \"INR\",\r\n  \"lineOfBusiness\": \"secured\",            // optional but useful for ES projections\r\n  \"portfolio\": \"AL\",\r\n  \"product\": \"AL1\",\r\n  \"scheme\": \"STD\"\r\n}\r\n```\r\n\r\n- Response json\r\n```json\r\n{\r\n  \"accountId\": \"8b4a4d12-3f48-4e8a-8a3a-ef9e0fc0c2ff\",\r\n  \"created\": true,\r\n  \"hostSystem\": \"LMS\",\r\n  \"sourceAccountNumber\": \"LAN123456\"\r\n}\r\n```\r\n\r\n\r\n#### Update Account API\r\n- PUT /api/v1/collect/handoff/accounts/{accountId}\r\n- Upsert full account data (master + child collections). Treat as full replace for the master account document, and bulk upserts for children (account_payments, account_financials, account_repayments, account_assets, account_cards, account_invoices, account_customers).\r\n- If {accountId} doesn’t exist, create it (PUT is idempotent).\r\n\r\n- Returns:\r\n    - 200 OK on successful upsert (or replace)\r\n    - 202 Accepted (optional) if you choose to persist children async via queue\r\n\r\n- Top-level fields map to the account collection.\r\n- Arrays payments, financials, repayments, assets, cards, invoices, and customers fan out into their respective Mongo collections using accountId as the foreign key.\r\n- Each child element should have a stable natural key to ensure idempotent upsert (examples below). \r\n- Request Structure \r\n```json\r\n{\r\n  \"accountId\": \"8b4a4d12-3f48-4e8a-8a3a-ef9e0fc0c2ff\",\r\n  \"customerCode\": \"CUST001\",\r\n  \"accountType\": \"LOAN\",\r\n  \"hostSystem\": \"LOS\",\r\n  \"sourceAccountNumber\": \"LAN123456\",\r\n  \"collectionStatus\": \"ACTIVE\",\r\n  \"accountStatus\": \"ACTIVE\",\r\n  \"accountStatusDate\": \"2023-01-01\",\r\n  \"accountSubStatus\": \"\",\r\n  \"lineOfBusiness\": \"secured\",\r\n  \"portfolio\": \"AL\",\r\n  \"product\": \"AL1\",\r\n  \"scheme\": \"STD\",\r\n  \"totalOutstanding\": 100000.0,\r\n  \"dueCharges\": 5000.0,\r\n  \"cycleDay\": 5,\r\n  \"deliquencyStartDate\": \"2023-01-01\",\r\n  \"lastDueDate\": \"2023-06-01\",\r\n  \"lastPaymentAmount\": 2000.0,\r\n  \"lastPaymentDate\": \"2023-06-10\",\r\n  \"lastPaymentMethod\": \"UPI\",\r\n  \"currencyCode\": \"INR\",\r\n  \"nextDueDate\": \"2023-07-01\",\r\n  \"overdueAmount\": 3000.0,\r\n  \"isNpa\": false,\r\n  \"repaymentMode\": \"ECS\",\r\n  \"salesPerson\": \"John Doe\",\r\n  \"salesPersonContactNumber\": \"9999999999\",\r\n  \"sourceBranch\": \"BranchX\",\r\n  \"serviceBranch\": \"BranchX\",\r\n  \"isFirstPaymentDefaulter\": false,\r\n  \"writeOffDate\": \"2023-08-01\",\r\n  \"writeoffAmount\": 1500.0,\r\n  \"writeoffReason\": \"Default\",\r\n  \"writeoffBy\": \"Manager\",\r\n  \"writeoffStatus\": \"string\",\r\n  \"writeoffOutstandingAmount\": 10000.0,\r\n\r\n  \"loanAccount\": {\r\n    \"interestRate\": 9.5,\r\n    \"loanAmount\": 500000.0,\r\n    \"installmentAmount\": 10000.0,\r\n    \"loanDisbursedDate\": \"2022-01-01\",\r\n    \"loanStartDate\": \"2022-01-01\",\r\n    \"loanEndDate\": \"2027-01-01\",\r\n    \"tenure\": 60,\r\n    \"remainingTenure\": 45,\r\n    \"principalOutstanding\": 10000.0,\r\n    \"interestOutstanding\": 5000.0,\r\n    \"installmentFrequency\": \"MONTHLY\",\r\n    \"agreementNumber\": \"AGR-001\",\r\n    \"downPayment\": 10000.0,\r\n    \"lastInstallmentAmount\": 10000.0,\r\n    \"lendingPurpose\": \"VEHICLE_PURCHASE\",\r\n    \"lendingType\": \"RETAIL\",\r\n    \"loanAccountAssetClassification\": \"STANDARD\",\r\n    \"nextInstallmentAmount\": 10000.0,\r\n    \"totalDisbursedAmount\": 111111.11,\r\n    \"lastInstallmentDate\": \"2022-01-01\"\r\n  },\r\n\r\n  \"creditCard\": {\r\n    \"graceDays\": 20,\r\n    \"lastInvoiceAmount\": 12000.0,\r\n    \"monthOnBooks\": \"Jan\",\r\n    \"relationshipManagerName\": \"RM Name\",\r\n    \"relationshipManagerNumber\": \"9876543210\",\r\n    \"fraudDate\": \"2023-06-01\",\r\n    \"fraudStatus\": \"Cleared\",\r\n    \"blockDetails\": [\r\n      {\r\n        \"blockBy\": \"username\",\r\n        \"blockCode\": \"code123\",\r\n        \"blockDate\": \"2023-06-01\"\r\n      }\r\n    ],\r\n    \"cashBalance\": 5000.0,\r\n    \"cashCreditLimit\": 10000.0,\r\n    \"creditLimit\": 25000.0,\r\n    \"isDispute\": false,\r\n    \"disputeStatus\": \"None\",\r\n    \"disputeAmount\": 0.0,\r\n    \"disputeDate\": \"2023-06-15\",\r\n    \"fosCode\": \"F123\",\r\n    \"dealerCode\": \"D456\",\r\n    \"isBillOnHold\": false,\r\n    \"holdCode\": \"H789\",\r\n    \"holdDate\": \"2023-07-01\",\r\n    \"lastSwipeAmount\": 2000.0,\r\n    \"lastSwipeDate\": \"2023-07-15\",\r\n    \"overlimitAmount\": 500.0,\r\n    \"overlimitPercent\": 10.0,\r\n    \"minPaymentAmount\": 1500.0,\r\n    \"picName\": \"PIC\",\r\n    \"picNumber\": \"9999999999\",\r\n    \"picMailId\": \"pic@example.com\",\r\n    \"activeDate\": \"2023-01-01\",\r\n    \"inActiveDate\": \"2023-12-31\",\r\n    \"unBilledAmount\": 3000.0,\r\n    \"lastBillDate\": \"2022-01-01\"\r\n  },\r\n\r\n  \"payments\": [\r\n    {\r\n      \"referenceNumber\": \"PAY123456\",\r\n      \"postingDate\": \"2023-08-01\",\r\n      \"realizationDate\": \"2023-08-02\",\r\n      \"transactionCode\": \"TXN001\",\r\n      \"paymentMode\": \"NEFT\",\r\n      \"amount\": 2500.0,\r\n      \"narration\": \"EMI payment for August\",\r\n      \"drCr\": \"CR\",\r\n      \"status\": \"REALIZED\",\r\n      \"currencyCode\": \"INR\",\r\n      \"instrumentType\": \"Cheque\",\r\n      \"instrumentDate\": \"2023-07-31\",\r\n      \"instrumentNumber\": \"CHQ998877\",\r\n      \"utrNumber\": \"UTR123456789\",\r\n      \"bankName\": \"HDFC Bank\",\r\n      \"bankCode\": \"HDFC0001234\",\r\n      \"bankBranchName\": \"MG Road Branch\",\r\n      \"collectorCode\": \"COL001\"\r\n    }\r\n  ],\r\n\r\n  \"financials\": [\r\n    {\r\n      \"paymentHeadCode\": \"INT\",\r\n      \"totalOutstandingAmount\": 15000.0,\r\n      \"totalPaidAmount\": 3500.0,\r\n      \"totalWaivedAmount\": 500.0,\r\n      \"totalDueAmount\": 11000.0\r\n    }\r\n  ],\r\n\r\n  \"repayments\": [\r\n    {\r\n      \"installmentNumber\": \"INST001\",\r\n      \"installmentDate\": \"2023-07-01\",\r\n      \"installmentAmount\": 10000.0,\r\n      \"installmentType\": \"EMI\",\r\n      \"paidAmount\": 8000.0,\r\n      \"installmentStatus\": \"PARTIALLY_PAID\"\r\n    }\r\n  ],\r\n\r\n  \"assets\": [\r\n    {\r\n      \"assetId\": \"ASSET001\",\r\n      \"assetCategoryCode\": \"CAT01\",\r\n      \"isPrimaryAsset\": true,\r\n      \"assetClass\": \"Property\",\r\n      \"assetType\": \"Residential\",\r\n      \"assetSubType\": \"Flat\",\r\n      \"assetCount\": 1,\r\n      \"perAssetPrice\": 5000000.0,\r\n      \"perAssetValuation\": 4800000.0,\r\n      \"perAssetPriceForLtv\": 4700000.0,\r\n      \"ltvAppliedPercent\": 80.0,\r\n      \"creatorCode\": \"USR001\",\r\n      \"perAssetLtvFinanceAmount\": 3760000.0,\r\n      \"perAssetLtvDownPayment\": 940000.0,\r\n      \"allAssetLtvFinanceAmount\": 3760000.0,\r\n      \"allAssetLtvDownPayment\": 940000.0,\r\n      \"vehicles\": [\r\n        {\r\n          \"vehicleEndUsage\": \"Personal\",\r\n          \"vehicleOwnerCustomerCode\": \"CUST001\",\r\n          \"bodyTypeCode\": \"SUV\",\r\n          \"fuelTypeCode\": \"Diesel\",\r\n          \"cubicCapacity\": \"2000cc\",\r\n          \"colour\": \"White\",\r\n          \"yearOfManfacture\": \"2022-01-01\",\r\n          \"kmRun\": 15000,\r\n          \"ownershipCountCode\": \"1\",\r\n          \"vaahanIdNumber\": \"VID123\",\r\n          \"chasisNumber\": \"CHASIS001\",\r\n          \"engineNumber\": \"ENG001\",\r\n          \"registrationNumber\": \"MH12AB1234\",\r\n          \"registrationRto\": \"Pune\",\r\n          \"registrationDate\": \"2022-03-01\",\r\n          \"rtoTaxPaidUpto\": \"2023-03-01\",\r\n          \"isHypothecated\": true,\r\n          \"hypothecatedDate\": \"2022-03-01\",\r\n          \"insurer\": \"ABC Insurance\",\r\n          \"insuranceAgent\": \"Agent A\",\r\n          \"premiumAmount\": 12000.0,\r\n          \"premiumFrequency\": \"Yearly\",\r\n          \"policyReceiptDate\": \"2022-03-01\",\r\n          \"policyStartDate\": \"2022-03-01\"\r\n        }\r\n      ],\r\n      \"properties\": [\r\n        {\r\n          \"propertyUsage\": \"Self\",\r\n          \"isPropertyIdentified\": true,\r\n          \"projectName\": \"Dream Homes\",\r\n          \"unitNumber\": \"A-101\",\r\n          \"floorNumber\": \"1\",\r\n          \"buildingName\": \"Tower A\",\r\n          \"addressLine1\": \"Street 1\",\r\n          \"addressLine2\": \"Street 2\",\r\n          \"locality\": \"Kothrud\",\r\n          \"landmark\": \"Near XYZ Mall\",\r\n          \"pincode\": \"411038\",\r\n          \"areaCode\": \"AC001\",\r\n          \"cityCode\": \"PUNE\",\r\n          \"districtCode\": \"D001\",\r\n          \"stateCode\": \"MH\",\r\n          \"countryCode\": \"IN\",\r\n          \"ageOfProperty\": \"5 years\",\r\n          \"ownershipCode\": \"OWN001\",\r\n          \"reraNumber\": \"RERA123\",\r\n          \"superBuiltupArea\": 1000.0,\r\n          \"builtupArea\": 850.0,\r\n          \"carpetArea\": 700.0,\r\n          \"plotArea\": 1100.0,\r\n          \"isPlanSanctioned\": true,\r\n          \"completionPercent\": 100.0,\r\n          \"estimatedDateOfConstructionStart\": \"2020-01-01\",\r\n          \"estimatedDateOfCompletion\": \"2022-01-01\",\r\n          \"constructionSuperBuiltupArea\": 1000.0,\r\n          \"constructionBuiltupArea\": 850.0,\r\n          \"constructionCarpetArea\": 700.0,\r\n          \"projectAuthorityBoard\": \"Pune Municipal Corp\",\r\n          \"govtScheme\": \"PMAY\",\r\n          \"isParkingAvailable\": true,\r\n          \"isFloorAdded\": false,\r\n          \"isPartOfPlannedLayout\": true,\r\n          \"isGreenCertified\": false,\r\n          \"propertyAreaCategory\": \"Urban\",\r\n          \"titleClearanceStatus\": \"Clear\",\r\n          \"propertyLandStatus\": \"Freehold\",\r\n          \"isPropertyMortgaged\": true,\r\n          \"propertyMortgageType\": \"Registered\",\r\n          \"mortgageDate\": \"2022-01-15\"\r\n        }\r\n      ]\r\n    }\r\n  ],\r\n\r\n  \"cards\": [\r\n    {\r\n      \"cardNumber\": \"xxxx-xxxx-xxxx-3456\",\r\n      \"cardType\": \"Visa\",\r\n      \"creditLimit\": 50000.0,\r\n      \"cardStatus\": \"Active\",\r\n      \"dateOfIssue\": \"2022-01-01\",\r\n      \"dateOfExpiry\": \"2025-01-01\"\r\n    }\r\n  ],\r\n\r\n  \"invoices\": [\r\n    {\r\n      \"referenceNumber\": \"INV-202308\",\r\n      \"invoiceDate\": \"2023-08-01\",\r\n      \"invoiceFromDate\": \"2023-07-01\",\r\n      \"invoiceTillDate\": \"2023-07-31\",\r\n      \"invoiceDueDate\": \"2023-08-10\",\r\n      \"previousBalance\": 12000.0,\r\n      \"freshPurchages\": 5000.0,\r\n      \"feeCharges\": 250.0,\r\n      \"paymentReceived\": 4000.0,\r\n      \"waiverAmount\": 300.0,\r\n      \"minDueAmount\": 1500.0,\r\n      \"invoiceAmount\": 15500.0,\r\n      \"latePaymentCharges\": 200.0,\r\n      \"otherDebits\": \"\",\r\n      \"otherCredits\": \"\"\r\n    }\r\n  ],\r\n\r\n  \"customers\": [\r\n    {\r\n      \"customerCode\": \"CUST001\",\r\n      \"sourceReferenceId\": \"SRC-001\",\r\n      \"customerTypeCode\": \"Individual\",\r\n      \"customerRoleCode\": \"Primary\",\r\n      \"fullName\": \"Amit Sharma\",\r\n      \"relationshipCode\": \"\",\r\n      \"convenient_time_to_contact\": \"10:00-18:00\",\r\n      \"individualDetails\": {\r\n        \"titleCode\": \"MR\",\r\n        \"firstName\": \"Amit\",\r\n        \"middleName\": \"\",\r\n        \"lastName\": \"Sharma\",\r\n        \"aliasName\": \"Ami\",\r\n        \"genderCode\": \"M\",\r\n        \"dateOfBirth\": \"1990-09-08\",\r\n        \"placeOfBirth\": \"Pune\",\r\n        \"maritalStatusCode\": \"MARRIED\",\r\n        \"spouseName\": \"Priya Sharma\",\r\n        \"maidenName\": \"\",\r\n        \"fatherName\": \"Rakesh Sharma\",\r\n        \"motherName\": \"Sunita Sharma\",\r\n        \"motherMaidenName\": \"Verma\",\r\n        \"nationalityCode\": \"IN\",\r\n        \"residentialStatusCode\": \"Resident\",\r\n        \"religionCode\": \"HIN\",\r\n        \"casteCode\": \"GEN\",\r\n        \"educationQualificationCode\": \"GRAD\",\r\n        \"individualOccupationCode\": \"SALARIED\",\r\n        \"selfEmployedProfessionCode\": \"\",\r\n        \"shareHoldingPercent\": 50.0,\r\n        \"designation\": \"Manager\",\r\n        \"department\": \"Sales\",\r\n        \"employeeId\": \"EMP123\",\r\n        \"classificationCode\": \"A1\",\r\n        \"preferredLanguageCode\": \"EN\",\r\n        \"isPoliticallyExposedPerson\": false,\r\n        \"isHandicapDisabledImpairment\": false,\r\n        \"companyCode\": \"\",\r\n        \"companyName\": \"\",\r\n        \"dateOfJoining\": \"2020-06-01\",\r\n        \"dateOfCommencement\": \"2020-06-01\",\r\n        \"entityConstitution\": \"\",\r\n        \"natureOfBusiness\": \"\",\r\n        \"industryCode\": \"\",\r\n        \"subIndustryCode\": \"\",\r\n        \"previouseCompanyCode\": \"\",\r\n        \"previouseCompanyName\": \"\"\r\n      },\r\n      \"entityDetails\": {\r\n        \"companyCode\": \"\",\r\n        \"companyName\": \"\",\r\n        \"entityConstitutionCode\": \"\",\r\n        \"natureOfBusinessCode\": \"\",\r\n        \"industryCode\": \"\",\r\n        \"subIndustryCode\": \"\",\r\n        \"msmeClassificationTypeCode\": \"\",\r\n        \"dateOfIncorporation\": \"\",\r\n        \"placeOfIncorporation\": \"\",\r\n        \"dateOfCommencement\": \"\",\r\n        \"authorizedSignaturyFullName\": \"\",\r\n        \"authorizedSingaturyRelationWithEntity\": \"\",\r\n        \"vintageYears\": 0,\r\n        \"numberOfEmployees\": 0,\r\n        \"brandName\": \"\",\r\n        \"websiteUrl\": \"\"\r\n      },\r\n      \"identities\": [\r\n        {\r\n          \"identityType\": \"PAN\",\r\n          \"number\": \"ABCDE1234F\",\r\n          \"details\": \"Primary PAN\",\r\n          \"issuanceDate\": \"2010-01-01\",\r\n          \"expiryDate\": \"2030-01-01\"\r\n        }\r\n      ],\r\n      \"contacts\": [\r\n        {\r\n          \"contactType\": \"MOBILE\",\r\n          \"contactValue\": \"9999999999\",\r\n          \"isPreferred\": true\r\n        }\r\n      ],\r\n      \"addresses\": [\r\n        {\r\n          \"addressType\": \"RESIDENCE\",\r\n          \"addrSrno\": 1,\r\n          \"addressLine1\": \"Flat 101\",\r\n          \"addressLine2\": \"Tower A, Street 1\",\r\n          \"locality\": \"Kothrud\",\r\n          \"landmark\": \"Near XYZ Mall\",\r\n          \"pincode\": \"411038\",\r\n          \"areaCode\": \"AC001\",\r\n          \"cityCode\": \"PUNE\",\r\n          \"districtCode\": \"D001\",\r\n          \"stateCode\": \"MH\",\r\n          \"countryCode\": \"IN\",\r\n          \"ownershipType\": \"OWNED\",\r\n          \"propertyOwner\": \"Self\",\r\n          \"isPropertyMortgaged\": false,\r\n          \"latLong\": \"18.5074,73.8077\",\r\n          \"isPreferred\": true\r\n        }\r\n      ]\r\n    }\r\n  ]\r\n}\r\n\r\n```\r\n\r\n- Response will be 200 Ok for success\r\n\r\n#### Mongo model and indexes \r\n- account (master)\r\n    - _id = accountId (UUID generated by us on create)\r\n    - Unique compound index to enforce natural idempotency:\r\n        - { hostSystem: 1, sourceAccountNumber: 1 } (unique)\r\n\r\n- Children (fan-out) – recommended unique keys for upsert\r\n    - account_payments: { accountId: 1, referenceNumber: 1 } (unique)\r\n    - account_financials: { accountId: 1, paymentHeadCode: 1 } (unique)\r\n    - account_repayments: { accountId: 1, installmentNumber: 1 } (unique)\r\n    - account_assets: { accountId: 1, assetId: 1 } (unique)\r\n    - account_cards: { accountId: 1, cardNumber: 1 } (unique)\r\n    - account_invoices: { accountId: 1, referenceNumber: 1 } (unique)\r\n    - account_customers: { accountId: 1, customerCode: 1 } (unique)\r\n","filename":"\\3.Handoff.md","format":"Markdown","order":9,"title":""},{"content":"## Queuing & Allocation Engine\r\n\r\n### Scope & Goal\r\n- Build a generic queuing and allocation engine that can:\r\n    - Route work items through a hierarchical queue tree of logical queues.\r\n    - Allocate items to assignees (users, teams, agencies) at leaf queues.\r\n    - Support both real-time per-item allocation and batch/EOD allocation.\r\n    - Support rebalancing when configuration or capacity changes.\r\n    - Be driven entirely by configuration and item attributes.\r\n    - Store queue configuration in the database.\r\n    - Store user- and queue-level metrics in a DB, and cache them for fast retrieval.\r\n    - Store allocation details, audit, and re-entry history in the DB for:\r\n        - Rebalancing,\r\n        - Sticky assignment,\r\n        - Reporting/debugging.\r\n    - Use the existing embedded expression builder & executor for:\r\n        - Filters,\r\n        - Criteria,\r\n        - allocation and selection expressions.\r\n    - Provide a UI for managing queue definitions.\r\n    - Ensure priority and ordering to determine the sequence of work items for each assignee.\r\n---\r\n\r\n### Core Concepts\r\n\r\n#### Work Item\r\nRepresents any unit of work the engine processes, such as loan applications, collection cases, or background jobs.  \r\nMust have:\r\n- A unique ID.\r\n- A map of attributes (key–value) used in filters, allocation, selection, and metric calculations.\r\n    - - Attributes are referenced in expressions as `attr('<name>')`.\r\n\r\n#### Queue Node\r\n\r\nRepresents a routing or assignment point in the hierarchy.\r\n\r\n**Node types:**\r\n\r\n- `QUEUE` – logical queue for routing or leaf-level worklist.\r\n- `USER` – individual assignee (agent/collector).\r\n- `GROUP` – team/agency assignee.\r\n\r\n**Structural rules:**\r\n\r\n- The structural tree is formed by `QUEUE` nodes.\r\n- `USER` and `GROUP` nodes are always leaves (no children) and are attached under leaf `QUEUE` nodes.\r\n- Each node is stored as a `QueueConfig` document in the DB.\r\n\r\n**Each node:**\r\n\r\n- Has a short code: `code` (node code).\r\n- Has a fully-qualified name: `fqdn` (fully qualified domain name, unique per tree/tenant).\r\n- Has a `parentFqdn` (null/empty for root `QUEUE`).\r\n- May have `children[]` (references to child nodes by code or fqdn, as defined in the config model).\r\n- Has a `nodeType` ∈ {`QUEUE`, `USER`, `GROUP`}.\r\n- Has a configuration `status` (e.g. `DRAFT`, `PUBLISHED`).\r\n\r\n**Engine-control flags/fields:**\r\n\r\n- `isLeafQueue` (applies only to `QUEUE` nodes):\r\n  - `true` → engine treats this `QUEUE` as last queue level before assignees.\r\n  - `false` → pure routing/grouping node.\r\n- For `USER`/`GROUP` nodes, `isLeafQueue` is ignored / not present.\r\n\r\n**Optional node-level configs:**\r\n\r\n- `reentry` config\r\n- `selection` config\r\n- `allocationStrategy`\r\n- `allocation`\r\n- `limits`\r\n- `lifecycle`\r\n\r\n**Derived/logical fields (not necessarily persisted):**\r\n\r\n- `depth` – distance from root; can be derived from `fqdn` or parent chain.\r\n- `isRoot` – `parentFqdn` is null/empty.\r\n- `isActive` – derived from `status` (e.g. `status = PUBLISHED` and not logically disabled).\r\n\r\n---\r\n\r\n#### Target\r\nA target is a downstream entity to which a node can allocate items.\r\n\r\n**Relationship between nodes and targets:**\r\n\r\n- For non-leaf `QUEUE` nodes:\r\n  - Downstream targets are child `QUEUE` nodes (routing targets).\r\n- For leaf `QUEUE` nodes (`isLeafQueue = true`):\r\n  - Downstream targets are assignee nodes:\r\n    - `USER` (individual agent),\r\n    - `GROUP` (team/agency).\r\n\r\n**In configuration:**\r\n\r\n- Each target is represented as a child node in `children[]`:\r\n  - For non-leaf `QUEUE`: children are `QUEUE` nodes.\r\n  - For leaf `QUEUE`: children are `USER`/`GROUP` nodes.\r\n\r\n**Target nodes may have:**\r\n\r\n- `allocation`:\r\n  - `percentShare` (for percent/weighted strategies),\r\n  - `criteria` (for criteria-based routing/allocation).\r\n- `limits`:\r\n  - `maxLimit` (capacity per node/assignee in that queue context),\r\n  - `overLimit` policy.\r\n\r\n**Optional (typically at leaf `QUEUE` level):**\r\n\r\n- `reentry` config\r\n- `selection` config\r\n- `allocationStrategy` (primarily on parent `QUEUE`, and optionally on `USER`/`GROUP` if allowed by the domain).\r\n\r\n---\r\n\r\n#### Allocation State\r\nLogical state maintained by the engine over time.\r\n\r\n**Contains, per node and per target:**\r\n\r\n- Counts:\r\n  - Current active assignments,\r\n  - Historical assignment counts (e.g. total assigned so far).\r\n- Metric totals for basis calculations, e.g.:\r\n  - `TOTAL_ITEMS`\r\n  - `TOTAL_OUTSTANDING`\r\n  - `PRINCIPAL_OUTSTANDING`\r\n  - `OVERDUE_AMOUNT`\r\n  - `WRITEOFF_OUTSTANDING`\r\n- Assignment history for re-entry/sticky assignment:\r\n  - Last assignee per `(itemId, leafQueueFqdn)`,\r\n  - Timeline of assignment changes.\r\n\r\n**The engine must support querying:**\r\n\r\n- Previous assignments (for sticky/re-entry decisions),\r\n- Current utilization vs limits (per node and per target),\r\n- Basis metrics for allocation decisions (`basis` in `allocationStrategy`),\r\n- Actual vs expected distribution (actual shares vs configured `percentShare`).\r\n\r\nAllocation state is persisted in DB and may be partially cached for fast access.\r\n\r\n---\r\n\r\n#### Hierarchical Structure\r\nNodes form a strict queue tree:\r\n\r\n- Structural tree consists of `QUEUE` nodes.\r\n- Exactly one root `QUEUE` node per tree (e.g. per `(tenant, treeCode)`).\r\n  - Root node has `parentFqdn = null` or empty.\r\n- Each non-root `QUEUE` node must reference a valid `parentFqdn`.\r\n- Tree supports arbitrary depth, for example:\r\n  - `ROOT → REGION → PRODUCT → BUCKET → LEAF_QUEUE`.\r\n\r\n`USER` and `GROUP` nodes:\r\n\r\n- Attach under leaf `QUEUE` nodes.\r\n- Have no children (always leaves in the overall graph).\r\n- GROUP can have child as USER\r\n\r\n---\r\n\r\n#### Selection Within a Node\r\n- Priority Bands \r\n    - queues may define selection.priority:\r\n        - Each band has a name and a criteria expression on item attributes.\r\n        - Higher-priority bands are evaluated first.\r\n        - Within a leaf, this determines which items get picked first for allocation.\r\n\r\n#### Ordering Rules \r\n- sequence rules:\r\n    - Each rule has field, order (ASC|DESC).\r\n    - These rules determine the sorted order of items within each priority band.\r\n    - Used to create the final item sequence per user/assignee in batch mode.\r\n    - basis metrics (like TOTAL_OUTSTANDING) can be used as sort fields or derived metrics.\r\n\r\n**Selection inheritance:**\r\n\r\n- If `selection.inheritToChildren = true` on a `QUEUE` node, then:\r\n  - During save, child nodes that do not define their own selection may inherit the parent’s selection config.\r\n\r\n---\r\n\r\n#### Limits and Overflow\r\n\r\n##### Limits\r\n\r\n- `maxLimit` can be defined for any node (`QUEUE`, `USER`, `GROUP`) via `limits.maxLimit`.\r\n\r\nAt `USER`/`GROUP` node level:\r\n\r\n- `maxLimit` defines the capacity of that assignee **within that leaf queue context**.\r\n- The same user may have different limits under different leaf queues.\r\n\r\nAt `QUEUE` level:\r\n\r\n- `maxLimit` defines the overall capacity for that queue (e.g. max active items for that queue).\r\n\r\nOverall/global per-user limits across all queues:\r\n\r\n- Are part of the **User Management / IAM** module and are not solely controlled by the queue engine.\r\n\r\n---\r\n\r\n##### Overflow Policies\r\n\r\nWhen a node or assignee reaches its limit and cannot accept more items, an overflow policy determines what happens:\r\n\r\n- `SKIP_CASE` – leave the item unassigned (it remains in a pending/unallocated state).\r\n- `REDIRECT_TO_TARGET` – redirect the item to a configured fallback target (e.g. another user or group, depending on `targetRef`).\r\n- `REDIRECT_TO_NODE` – redirect to a configured fallback queue node (`targetNodeFqdn`, e.g. `EXCEPTIONQ`).\r\n- `REDISTRIBUTE_REMAINDER` – redistribute leftover items among remaining eligible targets, ignoring original `percentShare`.\r\n\r\n**Configuration:**\r\n\r\n- Overflow behavior is typically configured:\r\n  - At leaf `QUEUE` level for queue-level limits.\r\n  - Optionally at `USER`/`GROUP` level for per-assignee limits (using `targetRef`).\r\n\r\n---\r\n\r\n#### Re-Entry / Sticky Assignment\r\n\r\n##### Re-Entry Detection\r\n- Engine must detect re-entry by querying allocation history:\r\n    - Latest assignment for (itemId, node fqdn)\r\n\r\n##### Sticky Assignment Behavior\r\n- At leaf queues:\r\n    - Re-entry config defines:\r\n        - policy: STICKY_PREVIOUS_ASSIGNEE or NONE.\r\n        - maxLookbackDays: how far back to search for previous assignee.\r\n        - Behavior when:\r\n            - Previous assignee is inactive,\r\n            - Previous assignee is at capacity:\r\n                - Fallback to allocation strategy or overflow policy.\r\n    - If sticky conditions are met, engine must:\r\n        - Prefer previous assignee,\r\n        - Respect caps and availability.\r\n\r\n---\r\n\r\n#### Execution Modes\r\n\r\n##### Real-Time Mode\r\n\r\n- Processes one item at a time with low latency.\r\n\r\nFor each incoming work item:\r\n\r\n- Traverse the `QUEUE` tree top-down from the root:\r\n  - At each non-leaf `QUEUE` node:\r\n    - Evaluate its `allocationStrategy` and `allocation` (criteria/percentShare) to decide which child `QUEUE` to route to.\r\n  - At the leaf `QUEUE`:\r\n    - Evaluate `reentry` (sticky assignment) config:\r\n      - If sticky applies, try to re-assign to previous assignee (`USER`/`GROUP`).\r\n      - If no sticky or sticky fails:\r\n        - Use leaf-level allocation rules and child (`USER`/`GROUP`) configs (`allocation`, `limits`, overflow policies) to pick a target assignee.\r\n- Perform concurrency-safe updates to allocation state:\r\n  - Persist assignment record.\r\n  - Update metrics and counts (DB + cache).\r\n  - Ensure consistency under concurrent real-time allocations.\r\n\r\n---\r\n\r\n##### Batch/EOD Mode\r\n\r\n- Processes a set of items in bulk (e.g. Collections EOD, backlog allocations, redistributions).\r\n\r\nTypical flow:\r\n\r\n- Select a set of items that are:\r\n  - Currently unassigned, or\r\n  - Eligible for re-allocation (as per domain rules).\r\n- For each leaf `QUEUE`:\r\n  - Use `selection.priority` and `selection.sequence` to:\r\n    - Build ordered lists of items per priority band.\r\n    - Create a final ordered list of items for that queue.\r\n  - Apply leaf-level allocation strategy and child (`USER`/`GROUP`) configs:\r\n    - Distribute items across `USER`/`GROUP` children using:\r\n      - `allocation.percentShare`,\r\n      - `allocation.criteria`,\r\n      - `basis` metrics (e.g. `TOTAL_ITEMS`, `TOTAL_OUTSTANDING`),\r\n      - `limits` and overflow policies.\r\n\r\nBatch mode is suitable for:\r\n\r\n- Collections EOD runs.\r\n- Periodic redistributions.\r\n- Rebalancing large backlogs.\r\n\r\n---\r\n#### Audit Logging\r\n\r\nFor each assignment, the engine must log at least:\r\n\r\n- `itemId`\r\n- `treeCode` (or equivalent tree identifier, if used)\r\n- `leafQueueFqdn` (node fqdn where assignment occurred)\r\n- `targetRef` (`USER`/`GROUP` node reference)\r\n- `timestamp`\r\n- Reason/strategy metadata, for example:\r\n  - `allocationStrategy.method`\r\n  - `allocationStrategy.basis`\r\n  - Whether sticky was used (true/false)\r\n  - Whether overflow occurred (and which policy)\r\n  - Whether this assignment was part of rebalancing\r\n\r\nThese logs are used for:\r\n\r\n- Debugging allocation decisions.\r\n- Re-entry/sticky assignment lookups.\r\n- Reporting and audit trails.\r\n\r\n---\r\n\r\n#### Metrics Exposure\r\n\r\nThe engine must expose metrics per node and per target, including:\r\n\r\n- Total assigned items.\r\n- Current active items.\r\n- Utilization vs limits, for example:\r\n  - `currentActive / maxLimit` for node and assignee.\r\n- Actual vs expected distribution:\r\n  - `actual_share` vs configured `percentShare` target.\r\n- Basis metrics per node and/or target:\r\n  - `TOTAL_ITEMS`\r\n  - `TOTAL_OUTSTANDING`\r\n  - `PRINCIPAL_OUTSTANDING`\r\n  - `OVERDUE_AMOUNT`\r\n  - `WRITEOFF_OUTSTANDING`\r\n\r\n**Storage and caching:**\r\n\r\n- Metrics are periodically or incrementally stored in the DB.\r\n- Frequently accessed metrics are cached (e.g. in Redis) for fast allocation decisions.\r\n\r\n---\r\n\r\n#### Rebalancing (TBD)\r\n\r\n##### Rebalancing Support\r\n\r\nThe engine must support redistribution of items when:\r\n\r\n- New users/groups are added or removed.\r\n- Users/groups are disabled or re-enabled.\r\n- `percentShare` changes at any node or target.\r\n- `maxLimit`/capacity values change.\r\n- `allocationStrategy.method` / `basis` changes.\r\n\r\n---\r\n\r\n##### Rebalancing Behavior\r\n\r\nA rebalancer component should:\r\n\r\n- Compare actual vs expected distribution per node and per target:\r\n  - Expected distribution derived from:\r\n    - Current `percentShare`,\r\n    - `basis` metrics,\r\n    - `limits`.\r\n- Identify movable items:\r\n  - Items not yet worked on.\r\n  - Items allowed to be moved by domain rules (e.g. not “in-progress”).\r\n- Reassign items using:\r\n  - Existing node configuration, or\r\n  - Specialized rebalancing logic (if rules differ from normal allocation).\r\n\r\nScope of rebalancing:\r\n\r\n- May operate per node.\r\n- Per subtree (e.g. a specific segment/root).\r\n- Or globally across the tree.\r\n\r\nRebalancing should provide options to:\r\n\r\n- Respect sticky assignment where possible.\r\n- Override sticky rules if a hard rebalance is required (configurable by domain).\r\n\r\n------\r\n\r\n","filename":"\\4.QueueAllocation.md","format":"Markdown","order":10,"title":""},{"content":"## Queue Configuration\r\n\r\n\r\n### Overview\r\n\r\n- This document defines the **queue configuration model** and **configuration APIs** for the Queuing & Allocation Engine.\r\n\r\n- Key Principles:\r\n  - Queue will be treated as first class entity so each Queue configuration will be stored in the seperate document.\r\n  - Queue can have child queue reference codes. \r\n  - The tree contains a hierarchy of QUEUE, USER, and GROUP nodes.\r\n  - QUEUE nodes may have child queue of any type (QUEUE, GROUP, USER).\r\n  - GROUP nodes may have child queue of type GROUP or USER.\r\n  - USER nodes must be leaves (no child queues).\r\n  \r\n---\r\n\r\n### Queue Configuration Model\r\n\r\n![](./images/queueconfig.png)\r\n\r\n#### Queue Config Document\r\n\r\nEach queue is represented by a seperate document:\r\n- code is the primary identifier\r\n- name is for the human readable name\r\n- same config is used for all node types (QUEUE, USER, GROUP).\r\n- Engine behaviour is controlled by:\r\n  - nodeType (QUEUE | USER | GROUP),\r\n  - isLeafQueue flag,\r\n  - child queue presence/absence,\r\n\r\n- Nodes can refer other nodes using the children[]. \r\n- Each node:\r\n  - Represents a logical queue.\r\n  - Has an FQDN used for metrics, audit and events,\r\n- QUEUE nodes can have child queue reference of any type (QUEUE, GROUP, USER).\r\n- GROUP nodes may have child queue reference of type GROUP or USER.\r\n- USER nodes can have child queue reference empty.\r\n- isLeafQueue is a routing concept:\r\n  - true → engine treats this as the last “queue” level before direct assignment.\r\n  - false → purely routing / grouping node.\r\n- isLeafQueue only applies to QUEUE nodes. USER/GROUP ignore it\r\n- reentry, selection, allocationStrategy, allocation, lifecycle are all optional at the generic level.\r\n\r\n```jsonc\r\n{\r\n  \"fqdn\": \"TEAM_ALPHA\", // fully qualified domain name, unique in tree\r\n  \"code\": \"TEAM_ALPHA\",                   // node code\r\n  \"name\": \"Team Alpha\",                 // user-friendly name for UI\r\n  \"nodeType\": \"QUEUE\",                         // QUEUE | GROUP | USER\r\n  \"status\": \"PUBLISHED\",                          \r\n  \"parentNodeCode\": \"SEGMENT_HIGH\",          // null/empty for root\r\n  \"queueAdmin\": [\r\n    {\r\n      \"userId\": \"userid\",\r\n      \"role\": \"SUPERVISOR\"   // SUPERVISOR | ALTERNATE_SUPERVISOR\r\n    },\r\n    {\r\n      \"userId\": \"userid\",\r\n      \"role\": \"ALTERNATE_SUPERVISOR\"\r\n    },\r\n\r\n  ],\r\n  \"isLeafQueue\": false,                        // true if this queue is leaf-level in routing sense\r\n\r\n  \"reentry\": {                                // OPTIONAL; generic shape\r\n    \"enabled\": true,\r\n    \"policy\": \"STICKY_PREVIOUS_ASSIGNEE\",       // STICKY_PREVIOUS_ASSIGNEE | NONE\r\n    \"maxLookbackDays\": 180,\r\n    \"whenAssigneeUnavailable\": \"ALLOCATION_POLICY\",\r\n    \"whenAssigneeAtLimit\": \"ALLOCATION_POLICY\"\r\n  },\r\n\r\n  \"allocationStrategy\": {\r\n    \"method\": \"FRESH_AND_MAX_LIMIT\",            // CRITERIA_BASED | PERCENT_BASED | FRESH_AND_MAX_LIMIT | ...\r\n    \"basis\": \"TOTAL_ITEMS\",                     // TOTAL_ITEMS | ...\r\n  },\r\n  \"limits\": {\r\n    \"maxLimit\": 100,  \r\n    \"overLimit\": {\r\n      \"policy\": \"REDIRECT_TO_NODE\",         // SKIP_CASE | REDIRECT_TO_NODE | REDISTRIBUTE_REMAINDER\r\n      \"targetNodeFqdn\": \"EXCEPTIONQ\"\r\n    }\r\n  },  \r\n  \"lifecycle\": {\r\n    \"onDeactivate\": {\r\n      \"policy\": \"MOVE_ITEMS_TO_NODE\",          // MOVE_ITEMS_TO_NODE | MARK_UNASSIGNED | NOOP\r\n      \"fallbackNodeFqdn\": \"EXCEPTIONQ\",\r\n      \"includeDescendants\": true               // if this node is a branch, also move items from all descendants\r\n    }\r\n  },\r\n\r\n  \"selection\": {                              // OPTIONAL; generic shapes\r\n    \"inheritToChildren\": true,                //config inherited by child queues or not\r\n    \"priority\": [\r\n      { \"name\": \"CRITICAL\", \"criteria\": \"attr('riskScore') >= 90\" },\r\n      { \"name\": \"HIGH\",     \"criteria\": \"attr('riskScore') >= 70 && attr('riskScore') < 90\" },\r\n      { \"name\": \"NORMAL\",   \"criteria\": \"true\" }\r\n    ],\r\n    \"sequence\": [\r\n      { \"field\": \"riskScore\", \"order\": \"DESC\" },\r\n      { \"field\": \"amount\",    \"order\": \"DESC\" },\r\n      { \"field\": \"createdAt\", \"order\": \"ASC\"}\r\n    ]\r\n  },\r\n  \"allocation\": {\r\n    \"percentShare\": 60.0,         // for percent/weighted strategies\r\n    \"criteria\": [\r\n        \"attr('region') == 'NORTH'\"\r\n    ],  \r\n  },\r\n  \"children\": [\r\n    {\r\n      \"code\":\"code\"\r\n    }\r\n  ]\r\n}\r\n\r\n```\r\n#### Generic Validation checklist:\r\n- Structural:\r\n  - Every node has: fqdn, code, name, nodeType, status.\r\n  - nodeType ∈ {QUEUE, USER, GROUP}.\r\n  - Queue Code must be unique in the entire DB. \r\n- Graph:\r\n  - Root node is the node with parentNodeCode = null or empty.\r\n  - No cycles: validated by traversing parent/children references and checking for back-edges\r\n\r\n- NodeType graph rules (generic):\r\n  - If nodeType = USER → child queue must be empty.\r\n  - If nodeType = GROUP → child queue (if any) must be GROUP or USER.\r\n  - If nodeType = QUEUE → child queue may be any type.\r\n- All behavioural validation (methods, basis, reentry allowed or not, etc.) will be handled by configuration.\r\n\r\n\r\n#### Collections: QUEUE Nodes\r\n- **Non-Leaf QUEUE (nodeType=QUEUE, isLeafQueue=false)**\r\n  - Purpose: routing between child queues/groups/users; no direct “worklist” semantics\r\n  - Allowed / required:\r\n    - allocationStrategy:\r\n      - Required.\r\n      - method ∈ {CRITERIA_BASED, PERCENT_BASED}.\r\n      - For PERCENT_BASED, basis is required and must be one of: TOTAL_ITEMS, TOTAL_OUTSTANDING, PRINCIPAL_OUTSTANDING, OVERDUE_AMOUNT, WRITEOFF_OUTSTANDING.\r\n    - reentry: can be null.\r\n    - selection: can be defined or inherited from parent\r\n      - If inheritToChildren = true on a node, then during save, children that do not define selection will get a copy of this selection.\r\n    - children:\r\n      - Each child must define allocation object (at least criteria or percentShare depending on parent method).\r\n    - Child validation:\r\n      - If allocationStrategy.method = CRITERIA_BASED:\r\n        - children.allocation.criteria non-empty.\r\n        - children.allocation.percentShare must be null/absent.\r\n      - If allocationStrategy.method = PERCENT_BASED:\r\n        - children.allocation.percentShare non-null.\r\n        - children.allocation.criteria must be null/absent.\r\n        - Sum of sibling percentShare ≈ 100 (within tolerance).\r\n\r\n- **Leaf QUEUE (nodeType=QUEUE, isLeafQueue=true)**\r\n  - Purpose: last queue level before assignees; defines selection and reentry, and delegates to USER/GROUP children.\r\n\r\n  - Rules:\r\n    - children:\r\n      - Must be of type USER and/or GROUP only (no QUEUE children).\r\n    - selection: can be defined or inherited from parent\r\n      - priority[] and sequence[] must follow your expression/ordering rules (as you already described).\r\n    - reentry: can be configured :\r\n      - policy ∈ {STICKY_PREVIOUS_ASSIGNEE, NONE}, etc.\r\n    - allocationStrategy on the leaf QUEUE:\r\n      - Optional or restricted, depending on how you want to interpret it.\r\n      - In collections you might choose:\r\n        - EITHER: no method here, only selection; actual % distribution handled at USER/GROUP level.\r\n        - OR: allow methods that affect distribution across USER/GROUP children (e.g. FRESH_ITEMS at queue level instead of child level).\r\n      - To keep close to your original text, I’d recommend:\r\n        - For collections: treat percentage and criteria for USER/GROUP at allocation inside each child (USER/GROUP), not at leaf queue level.\r\n\r\n- **Collections: USER Nodes (nodeType=USER)**\r\n  - allocation stratgy is not defined.\r\n    - The leaf QUEUE’s allocationStrategy controls distribution \r\n    - USER node defines only allocation.percentShare and/or allocation.criteria as target weights/filters.\r\n  - If allocationStrategy is present for USER:\r\n    - Allowed methods (from requirements):\r\n      - NO_ALLOCATION\r\n      - MAX_LIMIT\r\n      - CRITERIA_BASED\r\n      - FRESH_ITEMS\r\n      - FRESH_AND_MAX_LIMIT\r\n      - TOTAL_ITEMS\r\n      - TOTAL_AND_MAX_LIMIT\r\n    - Basis:\r\n      - allocationStrategy.basis must be one of:\r\n        - TOTAL_ITEMS,\r\n        - TOTAL_OUTSTANDING,\r\n        - PRINCIPAL_OUTSTANDING,\r\n        - OVERDUE_AMOUNT,\r\n        - WRITEOFF_OUTSTANDING.\r\n\r\n  - Semantics \r\n    - % based strategies: FRESH_ITEMS, FRESH_AND_MAX_LIMIT, TOTAL_ITEMS, TOTAL_AND_MAX_LIMIT:\r\n      - Require allocation.percentShare for each USER under the same leaf queue.\r\n      - Use basis metric for computing shares, respecting capacity (limits).\r\n    - MAX_LIMIT:\r\n      - Uses basis primarily for ordering.\r\n      - use max Limit defined for that queue level\r\n      - percentShare is not required and preferably forbidden.\r\n    - CRITERIA_BASED:\r\n      - Requires allocation.criteria per user.\r\n      - If multiple users share same criteria, engine may fall back to percentShare + basis for tie-breaking.\r\n      \r\n- **Collections: GROUP Nodes (nodeType=GROUP)**\r\n  - Represent a group/team/agency. May be leaf target or internal level within group hierarchy.\r\n  - Allowed methods:\r\n    - NO_ALLOCATION\r\n    - CRITERIA_BASED\r\n    - FRESH_ITEMS\r\n  - Basis:\r\n    - allocationStrategy.basis must be TOTAL_ITEMS for collections.\r\n  - Semantics:\r\n    - FRESH_ITEMS:\r\n      - Always % based across groups using TOTAL_ITEMS as basis.\r\n      - Requires allocation.percentShare per group.\r\n    - CRITERIA_BASED:\r\n      - Requires allocation.criteria per group.\r\n      - If multiple groups share same criteria, may use percentShare to distribute.\r\n    - NO_ALLOCATION:\r\n      - Group acts as container / reporting node only.\r\n  - Validation rules\r\n    - If method = FRESH_ITEMS:\r\n      - basis == TOTAL_ITEMS.\r\n      - Siblings’ allocation.percentShare must sum ≈ 100.\r\n    - If method = CRITERIA_BASED:\r\n      - allocation.criteria required.\r\n      - allocation.percentShare optional (if used for tie-breaking) or forbidden (if you want pure criteria).\r\n\r\n- Collections: Limits & Overflow\r\n\r\n#### Queue Node configuration Example\r\n- parent Example :\r\n\r\n```jsonc\r\n{\r\n  \"fqdn\": \"SEGMENT_HIGH\", // fully qualified domain name, unique in tree\r\n  \"code\": \"SEGMENT_HIGH\",                   // node code\r\n  \"name\": \"Segment High\",                 // user-friendly name for UI\r\n  \"nodeType\": \"QUEUE\",                         // QUEUE | GROUP | USER\r\n  \"status\": \"PUBLISHED\",                          \r\n  \"allocationStrategy\": {\r\n    \"method\": \"CRITERIA_BASED\",\r\n    \"basis\": null\r\n  },\r\n  \"limits\": null,\r\n  \"allocation\": null,\r\n  \"selection\": {\r\n      \"inheritToChildren\":true,\r\n      \"priority\": [\r\n      { \"name\": \"CRITICAL\", \"criteria\": \"attr('riskScore') >= 90\" },\r\n      { \"name\": \"HIGH\",     \"criteria\": \"attr('riskScore') >= 70 && attr('riskScore') < 90\" },\r\n      { \"name\": \"NORMAL\",   \"criteria\": \"true\" }\r\n      ],\r\n      \"sequence\": [\r\n      { \"field\": \"riskScore\", \"order\": \"DESC\" },\r\n      { \"field\": \"amount\",    \"order\": \"DESC\" },\r\n      { \"field\": \"createdAt\", \"order\": \"ASC\"}\r\n      ]\r\n  }, \r\n  \"parentNodeCode\":\"\",\r\n  \"sequence\": 1,\r\n  \"supervisor\":\"\",\r\n  \"isLeafQueue\":false,  \r\n  \"children\": [\r\n    {\r\n      \"code\": \"CHILD_QUEUE1\",\r\n    },\r\n    {\r\n      \"code\": \"CHILD_QUEUE2\",\r\n    }\r\n  ]\r\n}\r\n```\r\n- Child-1 Example : \r\n```json\r\n{\r\n    \"fqdn\": \"SEGMENT_HIGH.CHILD_QUEUE1\", // fully qualified domain name, unique in tree\r\n    \"code\": \"CHILD_QUEUE1\",                   // node code\r\n    \"name\": \"child queue 1\",                 // user-friendly name for UI\r\n    \"nodeType\": \"QUEUE\",                         // QUEUE | GROUP | USER\r\n    \"status\": \"PUBLISHED\",                          \r\n    \"allocationStrategy\": {\r\n        \"method\": \"PERCENT_BASED\",           \r\n        \"basis\": \"TOTAL_ITEMS\",                     // TOTAL_ITEMS | ...\r\n    },\r\n    \"allocation\": {\r\n        \"criteria\": [\r\n            \"attr('region') == 'NORTH'\"\r\n        ],  \r\n    },\r\n    \"parentNodeCode\":\"SEGMENT_HIGH\",\r\n    \"supervisor\":\"userid1\",\r\n    \"isLeafQueue\": false,\r\n    \"sequence\": 1,\r\n    \"children\": [\r\n      {\r\n        \"code\": \"SUBCHILD_1\",                   // node code\r\n      },\r\n      {\r\n        \"code\": \"SUBCHILD_2\",                   // node code\r\n      }                             \r\n    ]\r\n}\r\n```\r\n\r\n- Child-2 example json :\r\n```json\r\n{\r\n    \"fqdn\": \"SEGMENT_HIGH.CHILD_QUEUE2\", // fully qualified domain name, unique in tree\r\n    \"code\": \"CHILD_QUEUE2\",                   // node code\r\n    \"name\": \"child queue 2\",                 // user-friendly name for UI\r\n    \"nodeType\": \"QUEUE\",                         // QUEUE | GROUP | USER\r\n    \"status\": \"PUBLISHED\",                          \r\n    \"allocationStrategy\": {\r\n        \"method\": \"CRITERIA_BASED\",           \r\n        \"basis\": \"TOTAL_OUTSTANDING\",                     // TOTAL_ITEMS | ...\r\n    },\r\n    \"allocation\": {\r\n        \"criteria\": [\r\n            \"attr('region') == 'SOUTH'\"\r\n        ],\r\n        \"percentShare\":null  \r\n    },\r\n    \"parentNodeCode\":\"SEGMENT_HIGH\",\r\n    \"supervisor\":\"userid2\",\r\n    \"isLeafQueue\":false,\r\n    \"sequence\": 2,\r\n    \"children\": []\r\n}  \r\n```        \r\n\r\n#### User/Group Queue Configuration\r\n    \r\n- **Example 1:** \r\n```json\r\n{\r\n    \"fqdn\": \"SEGMENT_HIGH.CHILD_QUEUE1.USERID1\", // fully qualified domain name, unique in tree\r\n    \"code\": \"USERID1\",                   // node code\r\n    \"name\": \"username\",                 // user-friendly name for UI\r\n    \"nodeType\": \"USER\",                         // QUEUE | GROUP | USER\r\n    \"status\": \"PUBLISHED\",                          \r\n    \"sequence\" : 1,\r\n    \"allocationStrategy\": null,\r\n    \"limits\": {\r\n      \"maxLimit\": 100,  \r\n      \"overLimit\": {\r\n        \"policy\": \"REDIRECT_TO_TARGET\",         // SKIP_CASE | REDIRECT_TO_TARGET | REDISTRIBUTE_REMAINDER\r\n        \"targetRef\": \"USER:alpha.supervisor\"\r\n      }\r\n    },                    \r\n    \"allocation\": {\r\n        \"percentShare\": 60.0,         // for percent/weighted strategies\r\n        \"criteria\": null\r\n    },\r\n    \"parentNodeCode\":\"SEGMENT_HIGH.CHILD_QUEUE1\",\r\n    \"supervisor\":\"useridx\",\r\n    \"isLeafQueue\": null,\r\n    \"children\": []\r\n}                           \r\n```\r\n- **Example 2:**\r\n```json\r\n{\r\n    \"fqdn\": \"SEGMENT_HIGH.CHILD_QUEUE1.USERID2\", // fully qualified domain name, unique in tree\r\n    \"code\": \"USERID2\",                   // node code\r\n    \"name\": \"USERNAME\",                 // user-friendly name for UI\r\n    \"nodeType\": \"USER\",                         // QUEUE | GROUP | USER\r\n    \"status\": \"PUBLISHED\",                          \r\n    \"sequence\" : 2,\r\n    \"allocationStrategy\": null,\r\n    \"limits\": {\r\n      \"maxLimit\": 100,  \r\n      \"overLimit\": {\r\n        \"policy\": \"REDIRECT_TO_TARGET\",         // SKIP_CASE | REDIRECT_TO_TARGET | REDISTRIBUTE_REMAINDER\r\n        \"targetRef\": \"USER:alpha.supervisor\"\r\n      }\r\n    },                     \r\n    \"allocation\": {\r\n        \"percentShare\": 40.0,         // for percent/weighted strategies\r\n        \"criteria\": null\r\n    },\r\n    \"parentNodeCode\":\"SEGMENT_HIGH.CHILD_QUEUE1\",\r\n    \"supervisor\":\"useridx\",\r\n    \"isLeafQueue\": null,\r\n    \"children\": []\r\n}  \r\n```\r\n#### Queue admin configuration storage\r\n- Queue admin like supervisor and alternate supervisor will be stored in the queue_admins collection with reference to the queue code and user id. This will help in easy retrieval of the queue based on user id and also to get the supervisor and alternate supervisor details for a given queue.\r\n- Json structure of the queue admin collection will be as below:\r\n```json\r\n{\r\n  \"_id\": \"ObjectId\",\r\n  \"queueCode\": \"TEAM_ALPHA\",\r\n  \"queueFqdn\": \"SEGMENT_HIGH.TEAM_ALPHA\",\r\n  \"userId\": \"userid\",\r\n  \"role\": \"SUPERVISOR\"   // SUPERVISOR | ALTERNATE_SUPERVISOR\r\n}\r\n```\r\n\r\n### Queue Configuration APIs\r\n- Base Path : `/api/v1/config/queues`\r\n\r\n#### Create Queue\r\n\r\n- Post API :   `/api/v1/config/queues`\r\n- Request json :\r\n```json\r\n{\r\n  \"code\": \"TEAM_ALPHA\",                   // node code\r\n  \"fqdn\": \"SEGMENT_HIGH.TEAM_ALPHA\", // fully qualified domain name, unique in tree\r\n  \"name\": \"Team Alpha\",                 // user-friendly name for UI\r\n  \"nodeType\": \"QUEUE\",                         // QUEUE | GROUP | USER\r\n  \"status\": \"DRAFT\",                          // DRAFT | PUBLISHED\r\n  \"parentNodeCode\": \"SEGMENT_HIGH\",          // null/empty for root\r\n  \"queueAdmin\": [\r\n    {\r\n      \"userId\": \"userid\",\r\n      \"role\": \"SUPERVISOR\"   // SUPERVISOR | ALTERNATE_SUPERVISOR\r\n    },\r\n    {\r\n      \"userId\": \"userid\",\r\n      \"role\": \"ALTERNATE_SUPERVISOR\"\r\n    }\r\n  ],\r\n  \"isLeafQueue\": false,                        // true if this queue is leaf-level in routing sense\r\n\r\n  \"reentry\": {                                // OPTIONAL; generic shape\r\n    \"enabled\": true,\r\n    \"policy\": \"STICKY_PREVIOUS_ASSIGNEE\",       // STICKY_PREVIOUS_ASSIGNEE | NONE\r\n    \"maxLookbackDays\": 180,\r\n    \"whenAssigneeUnavailable\": \"ALLOCATION_POLICY\",\r\n    \"whenAssigneeAtLimit\": \"ALLOCATION_POLICY\"\r\n  },\r\n\r\n  \"allocationStrategy\": {\r\n    \"method\": \"FRESH_AND_MAX_LIMIT\",            // CRITERIA_BASED | PERCENT_BASED | FRESH_AND_MAX_LIMIT | ...\r\n    \"basis\": \"TOTAL_ITEMS\",                     // TOTAL_ITEMS | ...\r\n  },\r\n  \"limits\": {\r\n    \"maxLimit\": 100,  \r\n    \"overLimit\": {\r\n      \"policy\": \"REDIRECT_TO_NODE\",         // SKIP_CASE | REDIRECT_TO_NODE | REDISTRIBUTE_REMAINDER\r\n      \"targetNodeFqdn\": \"EXCEPTIONQ\"\r\n    }\r\n  },  \r\n  \"lifecycle\": {\r\n    \"onDeactivate\": {\r\n      \"policy\": \"MOVE_ITEMS_TO_NODE\",          // MOVE_ITEMS_TO_NODE | MARK_UNASSIGNED | NOOP\r\n      \"fallbackNodeFqdn\": \"EXCEPTIONQ\",\r\n      \"includeDescendants\": true               // if this node is a branch, also move items from all descendants\r\n    }\r\n  },\r\n\r\n  \"selection\": {                              // OPTIONAL; generic shapes\r\n    \"inheritToChildren\": true,                //config inherited by child queues or not\r\n    \"priority\": [\r\n      { \"name\": \"CRITICAL\", \"criteria\": \"attr('riskScore') >= 90\" },\r\n      { \"name\": \"HIGH\",     \"criteria\": \"attr('riskScore') >= 70 && attr('riskScore') < 90\" },\r\n      { \"name\": \"NORMAL\",   \"criteria\": \"true\" }\r\n    ],\r\n    \"sequence\": [\r\n      { \"field\": \"riskScore\", \"order\": \"DESC\" },\r\n      { \"field\": \"amount\",    \"order\": \"DESC\" },\r\n      { \"field\": \"createdAt\", \"order\": \"ASC\"}\r\n    ]\r\n  },\r\n  \"allocation\": {\r\n    \"percentShare\": 60.0,         // for percent/weighted strategies\r\n    \"criteria\": [\r\n        \"attr('region') == 'NORTH'\"\r\n    ],  \r\n  },\r\n  \"children\": [\r\n    {\r\n      \"code\":\"code\"\r\n    }\r\n  ],\r\n}\r\n```\r\n- Response json:\r\n  - same as request json\r\n  - If configStatus = DRAFT exists for same code:\r\n    - Update that document (upsert semantics).\r\n  - If only PUBLISHED exists:\r\n    - Either create a new doc, or reject with error (you need to decide).\r\n\r\n#### Get All Queue list\r\n- GET ALL api : `/api/v1/config/queues`\r\n- Query param : \r\n  - code : Optional String, \r\n  - isRoot: Optional, default true\r\n- Response json:\r\n```json\r\n[\r\n  {\r\n    \"code\": \"TEAM_ALPHA\",                   // node code\r\n    \"fqdn\": \"SEGMENT_HIGH.TEAM_ALPHA\", // fully qualified domain name, unique in tree\r\n    \"name\": \"Team Alpha\",                 // user-friendly name for UI\r\n    \"nodeType\": \"QUEUE\",                         // QUEUE | GROUP | USER\r\n    \"status\": \"PUBLISHED\",                          \r\n    \"parentNodeCode\": \"SEGMENT_HIGH\",          // null/empty for root\r\n    \"queueAdmin\": [\r\n      {\r\n        \"userId\": \"userid\",\r\n        \"role\": \"SUPERVISOR\"   // SUPERVISOR | ALTERNATE_SUPERVISOR\r\n      },\r\n      {\r\n        \"userId\": \"userid\",\r\n        \"role\": \"ALTERNATE_SUPERVISOR\"\r\n      },\r\n\r\n    ],      \r\n    \"isLeafQueue\": false,                        // true if this queue is leaf-level in routing sense\r\n    \"reentry\": {...},\r\n    \"allocationStrategy\": {...},\r\n    \"limits\": {...},  \r\n    \"lifecycle\": {...},\r\n    \"selection\": {...},\r\n    \"allocation\": {...},\r\n    \"children\": [\r\n      {\r\n        \"code\":\"code\"\r\n      }\r\n    ],\r\n  }\r\n]\r\n```\r\n#### Get Queue config by Code \r\n- GET Queue DSL api : `/api/v1/config/queues/{code}`\r\n  - Query Param : \r\n    - traverseHierarchy = Optional and default false\r\n      - if true return entire tree hierarchy\r\n\r\n- Response json:\r\n```json\r\n{\r\n    \"code\": \"TEAM_ALPHA\",                   // node code\r\n    \"fqdn\": \"SEGMENT_HIGH.TEAM_ALPHA\", // fully qualified domain name, unique in tree\r\n    \"name\": \"Team Alpha\",                 // user-friendly name for UI\r\n    \"nodeType\": \"QUEUE\",                         // QUEUE | GROUP | USER\r\n    \"status\": \"PUBLISHED\",                          \r\n    \"parentNodeCode\": \"SEGMENT_HIGH\",          // null/empty for root\r\n    \"queueAdmin\": [\r\n      {\r\n        \"userId\": \"userid\",\r\n        \"role\": \"SUPERVISOR\"   // SUPERVISOR | ALTERNATE_SUPERVISOR\r\n      },\r\n      {\r\n        \"userId\": \"userid\",\r\n        \"role\": \"ALTERNATE_SUPERVISOR\"\r\n      },\r\n\r\n    ],   \r\n    \"isLeafQueue\": false,                        // true if this queue is leaf-level in routing sense\r\n    \"reentry\": {...},\r\n    \"allocationStrategy\": {...},\r\n    \"limits\": {...},  \r\n    \"lifecycle\": {...},\r\n    \"selection\": {...},\r\n    \"allocation\": {...},\r\n    \"children\": [\r\n      {\r\n        \"code\":\"code\"\r\n      }\r\n    ],\r\n}\r\n```\r\n\r\n#### Update Queue \r\n- PUT api : `/api/v1/config/queues/{code}`\r\n- Response json:\r\n```json\r\n{\r\n  //same as GET response json\r\n}\r\n```\r\n\r\n#### Delete Queue \r\n- DELETE api : `/api/v1/config/queues/{code}`\r\n- Validation : it should not be referred by other queue.\r\n- Response 200 ok.\r\n\r\n#### Validate Queue\r\n- validate api : `/api/v1/config/queues/{code}/validate`\r\n  - Query Param : \r\n    - validateHierarchy = Optional and default false\r\n      - if true validate entire hierarchy\r\n- response :\r\n```json\r\n{\r\n  \"code\": \"TEAM_ALPHA\",\r\n  \"fqdn\": \"COLLECTION_MAIN.TEAM_ALPHA\",\r\n  \"isValid\": false,\r\n  \"errors\":[\r\n    {\r\n      \"code\": \"\",\r\n      \"message\": \"\"\r\n    }\r\n  ]\r\n}\r\n```\r\n#### Get Queue code based on the user id\r\n- GET api : `/api/v1/config/queues/user/{userId}`\r\n- Response json:\r\n```json\r\n{\r\n  \"userId\": \"userid\",\r\n  \"queues\": [\r\n    {\r\n      \"code\": \"TEAM_ALPHA\",\r\n      \"fqdn\": \"COLLECTION_MAIN.TEAM_ALPHA\",\r\n      \"role\": \"SUPERVISOR\"   // SUPERVISOR | ALTERNATE_SUPERVISOR\r\n    },\r\n    {\r\n      \"code\": \"TEAM_BETA\",\r\n      \"fqdn\": \"COLLECTION_MAIN.TEAM_BETA\",\r\n      \"role\": \"ALTERNATE_SUPERVISOR\"   // SUPERVISOR | ALTERNATE_SUPERVISOR\r\n    }\r\n  ]\r\n}\r\n```\r\n\r\n### Class Diagram\r\n![](./images/queueConfigClassDiagram.png)","filename":"\\5.QueueConfig.md","format":"Markdown","order":11,"title":""},{"content":"## Queue Engine (Runtime) and Integration Layer\r\n### Responsibilities\r\n- The engine is responsible for:\r\n    - Loading and caching **queue tree configuration** from Mongo.\r\n    - Maintaining an **in-memory model** (node index, strategies).\r\n    - Allocating items:\r\n        - **Real-time**: one WorkItem at a time.\r\n        - **Batch/EOD**: many WorkItems via job/pipeline.\r\n    - Applying:\r\n        - Queue routing (through the node tree),\r\n        - Selection rules (priority + ordering),\r\n        - Allocation strategies (percent, criteria-based, max-limit),\r\n        - Re-entry/sticky rules,\r\n        - Limits and overflow policies.\r\n    - Persisting **assignment state** in RDB + Redis metrics.\r\n    - Supporting **rebalancing** after config or capacity changes.\r\n\r\n- Following sections explain about each layer of the engine.\r\n---\r\n\r\n### **Public Engine Facade & Primary Ports Layer**\r\n\r\n#### Class Diagram :\r\n![](./images/queueRuntimeL1.png)\r\n\r\n- This is the entry layer of the Queuing & Allocation Engine.\r\n- It exposes a single clean API to all calling services (Collections, LOS, LMS, Workflow, etc.) and hides all internal complexity.\r\n- This layer is responsible for:\r\n    - Accepting a List of Work Items (WorkItemView)\r\n        - The service supplies a list of items that need allocation.\r\n        - WorkItemView provides all attributes (attr(...)) needed by routing, limits, re-entry, and selection rules.\r\n        - The engine never touches domain objects; it only reads this view.\r\n    - Receiving Execution Context (TreeContext)\r\n        - Caller specifies: which queue tree (treeCode)\r\n        - The engine must know which queue hierarchy to traverse.\r\n        - TreeContext binds the run to a specific configuration tree.\r\n    - Receiving Run-Level Options (AllocationRunOptions)\r\n        - Caller can control: re-entry behavior, limit enforcement, dry-run mode, rebalance mode and whether to use tree-centric batch traversal.\r\n        - The engine behavior changes based on these flags, but the core logic stays the same.\r\n        - Makes the engine flexible without exposing its internals.\r\n    - Delegating Allocation to the appropriate runtime path\r\n        - Tree batch path: uses TreeBatchAllocator when doing node-centric, exact percent/basis distribution.\r\n        - Keeps QueueEngine thin — it’s only orchestration.        \r\n    - Fetching Initial Node Metrics from AllocationStateStore\r\n        - Before the loop starts, QueueEngine loads base snapshots for all nodes: active counts, total items, basis metrics\r\n        - Routing rules may depend on metrics (TOTAL_ITEMS, OUTSTANDING, etc.)\r\n        - Limit checks must evaluate correct current load\r\n        - Batch run requires single initial load for performance\r\n    - Fetching the Tree Structure from QueueRegistry\r\n        - QueueEngine loads the runtime view of queue nodes: root node, child nodes, node config (limits, selection, allocationStrategy, etc.)\r\n        - Allocator needs a complete in-memory tree to traverse efficiently.\r\n        - Avoids DB lookups during routing.\r\n        - Allows O(1) access to node config.\r\n    - Accumulating All Decisions & State Deltas In-Memory\r\n        - QueueEngine collects: per-item AllocationDecision, per-node metric deltas (active counts, basis metrics)\r\n        - Real-time and batch behave the same.\r\n        - Single-flush design avoids many DB writes for batch mode.\r\n    - Performing a Single Flush via AllocationPersistence\r\n        - Single bulk write = high throughput\r\n        - Ensures consistency between assignments and updated metrics\r\n        - Supports dry-run by skipping flush\r\n    - Returning an Aggregated AllocationRunResult\r\n        - Contains: all per-item AssignmentResult, optional summary metrics\r\n        - Calling service needs a clear API-level summary of what happened.\r\n        - Supports frontend display, audit logs, and debugging.\r\n\r\n- **Flow Sequence (Short Summary)**\r\n    - Call received → QueueEngine\r\n    - QueueEngine loads tree structure → QueueRegistry\r\n    - QueueEngine loads initial node metrics → AllocationStateStore\r\n    - QueueEngine creates an in-memory state overlay -> AllocationStateView  \r\n    - ItemAllocator walks the tree & produces AllocationDecision\r\n    - QueueEngine accumulates decisions + metric deltas\r\n    - At end → QueueEngine calls AllocationPersistence.flush\r\n    - QueueEngine returns AllocationRunResult to caller\r\n---\r\n#### **Implementation Details:**\r\n---\r\n**QueueEngine**\r\n\r\n- These are what consuming microservices call.\r\n\r\n```java\r\npublic interface QueueEngine {\r\n\r\n    /**\r\n     * Allocate a list of items.\r\n     *\r\n     * Execution mode is controlled by options and item count:\r\n     *\r\n     * - Tree-centric batch mode:\r\n     *     - When options.isBatchTreeTraversal() == true (usually many items).\r\n     *     - QueueEngine delegates the whole list to ItemAllocator to:\r\n     *         - Traverse the tree node-by-node\r\n     *         - Perform batch percent/basis distribution\r\n     *\r\n     * In both modes the engine will:\r\n     *   - Keep all AllocationDecision in memory.\r\n     *   - Aggregate state deltas in memory.\r\n     *   - Call persistence.flush(...) once at the end (unless dryRun).\r\n     */\r\n    AllocationRunResult allocate(\r\n            List<? extends WorkItemView> items,\r\n            TreeContext treeContext,\r\n            AllocationRunOptions options\r\n    );\r\n}\r\n```\r\n\r\n**WorkItemView**\r\n\r\n```java\r\npublic interface WorkItemView {\r\n\r\n    /** Unique identifier of the work item (caseId, applicationId, etc.). */\r\n    String getItemId();\r\n\r\n    /** Attribute lookup for expressions like attr('riskScore'), attr('region'). */\r\n    Object getAttribute(String name);\r\n\r\n    /** Optional bulk attributes if needed. */\r\n    Map<String, Object> getAllAttributes();\r\n}\r\n\r\n```\r\n**TreeContext**\r\n\r\n```java\r\npublic final class TreeContext {\r\n\r\n    private final String treeCode;          // e.g. \"COLLECTION_MAIN\"\r\n    private final String rootFqdnOverride;  // optional, can be null\r\n\r\n    // constructors, getters\r\n}\r\n```\r\n**AllocationRunOptions**\r\n\r\n```java\r\npublic final class AllocationRunOptions {\r\n\r\n    private final boolean enableReentry;  // default false\r\n    private final boolean enforceLimits;  // default false\r\n    private final boolean rebalance;      // true if this run is for rebalancing\r\n    private final boolean dryRun;         // true => compute only, no flush\r\n    // ctor, builder, getters\r\n}\r\n```\r\n**AssignmentResult**\r\n\r\n```java\r\npublic final class AssignmentResult {\r\n\r\n    public enum Status {\r\n        ASSIGNED,\r\n        UNASSIGNED_NO_ROUTE,\r\n        UNASSIGNED_LIMIT_REACHED,\r\n        UNASSIGNED_OVERFLOW,\r\n        ERROR\r\n    }\r\n\r\n    private final Status status;\r\n    private final String itemId;\r\n    private final String leafQueueFqdn;     // where routing ended\r\n    private final String targetNodeFqdn;    // USER/GROUP fqdn if assigned\r\n    private final boolean stickyApplied;\r\n    private final String overflowPolicy;    // string/enum name if used\r\n    private final String reason;            // optional message\r\n    private final Map<String, Object> metadata; // strategy info\r\n\r\n    // constructors, getters\r\n}\r\n```\r\n**AllocationRunResult**\r\n\r\n```java\r\npublic final class AllocationRunResult {\r\n\r\n    private final List<AssignmentResult> results;\r\n\r\n    /** Optional aggregated metrics per node/assignee for reporting. */\r\n    private final Map<String, Object> summaryMetrics;\r\n\r\n    // ctor, getters\r\n}\r\n```\r\n---\r\n\r\n### **Runtime Core & Node Pipeline Layer**  \r\n\r\n#### Class Diagram :\r\n![](./images/queueRuntimeL2.png)\r\n\r\n- This layer is responsible for the core runtime traversal of the queue tree for a single work item.\r\n- It receives control from the Public Engine Facade (Layer 1) and executes:\r\n    - Tree traversal\r\n    - Node-by-node rule evaluation\r\n    - Limit checks\r\n    - Re-entry logic\r\n    - Selection logic\r\n    - Routing strategy\r\n    - Overflow handling\r\n    - Producing the final AllocationDecision\r\n- This layer is the heart of the runtime engine.\r\n- It binds together: queue structure, state, strategies, and expressions.\r\n\r\n**Responsibilities**\r\n\r\n- ItemAllocator orchestrates traversal (tree-centric batch mode)\r\n    - Take the full list of items for this run.\r\n    - Use QueueRegistry to get the root node.\r\n    - Traverse the tree node–by–node (as we discussed in previous messages):\r\n        - Builds sublists of items per node (only non-complete items that reached that node).\r\n        - Applies Java predicates for node/child criteria via QueueNodeRuntime.matches(...).\r\n        - Where node is PERCENT_BASED (or other batch-aware method):\r\n            - Performs weighted (w) or Z allocation across children over its candidate list (sort by basis, greedy gap fill).\r\n        - When reaching USER/GROUP leaves:\r\n            - apply capacity/reentry/limits and stamp assignments.\r\n    - Maintain in-memory structures similar to per-item mode:\r\n        - AllocationDecision per item.\r\n        - AllocationDeltas per node.\r\n- AllocationContext holds per-item execution state\r\n    - Maintains:\r\n        - current node being evaluated\r\n        - work item details\r\n        - runtime flags (stickyApplied, limitHit, overflow triggered)\r\n        - active metrics snapshot (via AllocationStateView)\r\n        - NodeProcessingResult at each step\r\n        - the final AllocationDecision\r\n- QueueNodeRuntime provides the resolved node configuration\r\n    - Node config is fully processed by Layer 1 and cached by the registry.\r\n    - This layer only reads:\r\n        - nodeType\r\n        - isLeafQueue\r\n        - allocationStrategy\r\n        - selection config\r\n        - reentry config\r\n        - limits\r\n        - overflow policies\r\n        - children references\r\n        - compiled predicates for node/child criteria\r\n- AllocationStateView provides live per-node metrics\r\n    - Used during:\r\n        - limit evaluation\r\n        - percent-share routing\r\n        - basis-metric based routing\r\n    - Combines:\r\n        - initial DB snapshot\r\n        - in-run deltas maintained by QueueEngine\r\n- Strategy ports handle decision-making logic\r\n    - AllocationStrategyRegistry resolves:\r\n        - RoutingStrategy (criteria/percent/basis)\r\n        - ReentryPolicy (sticky assignment)\r\n        - OverflowHandler (fallback behavior)\r\n    - AllocationRuntimeParams is a packaged view of:\r\n        - metrics\r\n        - expression executor\r\n        - runtime flags\r\n        - any other required context\r\n\r\n- ExpressionExecutor evaluates all DSL-based expressions\r\n    - Used for:\r\n        - child allocation.criteria\r\n        - selection.priority\r\n        - selection.sequence custom expressions\r\n        - reentry conditions\r\n        - routing criteria\r\n    - Keeps the engine independent from expression language implementation.\r\n\r\n- **Flow Sequence (Short Summary) – Tree batch path**\r\n    - TreeBatchAllocator receives full item list + context from Layer 1.\r\n    - It gets root node from QueueRegistry.\r\n    - It maintains a working set of items (not yet complete).\r\n    - For each node (tree traversal in configured order):\r\n        - Build the candidate list for this node (non-complete items that match node.matches(item)).\r\n        - If node’s method is PERCENT_BASED / basis-driven:\r\n            - Call RoutingStrategy.route(...) to distribute candidates across children using weighted/basis rules.\r\n        - Otherwise, apply criteria-based routing / segmentation to children.\r\n        - At USER/GROUP leaves:\r\n            - Apply reentry, limits, overflow, and stamp final assignments.\r\n        - Returns a list of AllocationDecision for all items.\r\n        - Layer 1 aggregates decisions + deltas and flushes via AllocationPersistence.\r\n        \r\n---\r\n#### **Implementation Details:**\r\n---\r\n\r\n- **ItemAllocator**\r\n```java\r\npublic interface ItemAllocator {\r\n\r\n    /**\r\n     * Allocate a batch of items using tree-centric traversal:\r\n     * - Traverses the queue tree node-by-node.\r\n     * - Applies node/child criteria as Java predicates.\r\n     * - Uses RoutingStrategy for percent/basis-based batch routing at nodes.\r\n     * - Applies reentry, capacity, and limits at USER/GROUP leaves.\r\n     * - Produces AllocationDecisions for all items in one pass.\r\n     */\r\n    AllocationRunResult allocate(\r\n        List<? extends WorkItemView> items,\r\n        TreeContext treeContext,\r\n        AllocationRunOptions options,\r\n        AllocationStateView stateView\r\n    );\r\n}\r\n```\r\n- **AllocationContext**\r\n\r\n```java\r\npublic interface AllocationContext {\r\n\r\n    WorkItemView getWorkItem();\r\n    TreeContext getTreeContext();\r\n    AllocationRunOptions getOptions();\r\n\r\n    AllocationStateView getStateView();\r\n    void setStateView(AllocationStateView stateView);\r\n\r\n    QueueNodeRuntime getCurrentNode();\r\n    void setCurrentNode(QueueNodeRuntime node);\r\n\r\n    // Per-node lifecycle\r\n    void startNode(QueueNodeRuntime node);    // reset per-node flags\r\n    boolean isNodeProcessingComplete();\r\n    void completeNodeProcessing();\r\n\r\n    // Whole traversal lifecycle\r\n    boolean isComplete();\r\n    void markComplete();\r\n\r\n    // Node-level decisions\r\n    void setNextNodeFqdn(String fqdn);\r\n    void setCandidateAssignee(String assigneeFqdn);\r\n    void markUnassigned(String reason);\r\n\r\n    void markNodeAtLimit(QueueNodeRuntime node, OverflowPolicy policy);\r\n    boolean hasOverflow();\r\n    OverflowPolicy getOverflowPolicy();\r\n\r\n    void setStickyApplied(boolean sticky);\r\n    boolean isStickyApplied();\r\n\r\n    NodeProcessingResult getNodeResult();\r\n\r\n    /** Build final immutable decision at end of traversal. */\r\n    AllocationDecision toDecision();\r\n}\r\n```\r\n- **NodeProcessingResult**\r\n\r\n```java\r\npublic interface NodeProcessingResult {\r\n\r\n    enum Type {\r\n        NEXT_NODE,\r\n        ASSIGNED,\r\n        UNASSIGNED\r\n    }\r\n\r\n    Type getType();\r\n    String getNextNodeFqdn();   // when NEXT_NODE\r\n    String getAssigneeFqdn();   // when ASSIGNED\r\n    String getReason();         // when UNASSIGNED or debug\r\n}\r\n```\r\n- **AllocationDecision**\r\n\r\n```java\r\npublic interface AllocationDecision {\r\n\r\n    enum Status {\r\n        ASSIGNED,\r\n        UNASSIGNED\r\n    }\r\n\r\n    Status getStatus();\r\n    String getItemId();\r\n    String getLeafQueueFqdn();\r\n    String getAssigneeFqdn();     // null if unassigned\r\n\r\n    boolean isStickyApplied();\r\n    String getOverflowPolicy();   // may be null\r\n    String getReason();           // may be null\r\n\r\n    boolean isRebalance();\r\n}\r\n```\r\n---\r\n\r\n\r\n### **Strategy & Policies Layer**\r\n\r\n#### Class Diagram\r\n![](./images/queueRuntimeL3.png)\r\n\r\n- This layer encapsulates all pluggable decision logic for routing, sticky assignment, and overflow.\r\n- It is the policy layer of the engine:\r\n    - Given a node + item + metrics + expressions, it decides:\r\n        - which child to route to\r\n        - whether to reuse a previous assignee\r\n        - what to do when limits are hit\r\n- It exists so that:\r\n    - the Runtime Core (Layer 2) stays generic and orchestration-only,\r\n    - the engine is extensible by simply adding new strategies without touching traversal logic.\r\n\r\n**Responsibilities**\r\n\r\n- AllocationStrategyRegistry as central strategy lookup\r\n    - Maps configuration (allocationStrategy.method, reentry.policy, limits.overLimit.policy) to actual implementations.\r\n    - This decouples:\r\n        - configuration enums from\r\n        - concrete strategy classes.\r\n- RoutingStrategy decides batch distribution across children (tree batch mode)\r\n    - Used by TreeBatchAllocator when a node is percent/basis-based and we want exact batch distribution.\r\n    - Reads:\r\n        - Full candidate list at this node (list of WorkItemView)\r\n        - QueueNodeRuntime for current node\r\n        - Children (QueueNodeRuntime list) + their allocation config (weights, basis, criteria)\r\n        - AllocationRuntimeParams for metrics & expressions\r\n    - Implements algorithms like:\r\n        - Sort candidates by basis (e.g. outstanding desc)\r\n        - Greedy gap fill to match target shares defined by weights / percentShare\r\n    - Returns:\r\n        - Mapping child → List<WorkItemView> for the next level traversal.    \r\n- AllocationRuntimeParams as a runtime port bundle\r\n    - Groups runtime services/ports for all strategies:\r\n        - AllocationStateView → node metrics & limits\r\n        - ExpressionExecutor → evaluate attr(...)-based expressions\r\n        - BasisMetric / treeCode / flags like rebalance\r\n    - Avoids passing a huge parameter list into every strategy method.\r\n    - Keeps strategy interfaces clean and focused on decision logic.\r\n- ExpressionExecutor for uniform rule evaluation\r\n    - Used by:\r\n        - RoutingStrategy (allocation.criteria, complex rules)\r\n        - ReentryPolicy (conditional sticky behavior)\r\n    - Evaluates expressions like:\r\n        - \"attr('region') == 'NORTH'\"\r\n        - \"attr('riskScore') >= 90 && attr('dpd') > 30\"\r\n    - Abstracts away the actual expression engine implementation (MVEL, SpEL, custom DSL, etc.).\r\n- AllocationStateView & AllocationSnapshot for metrics-driven decisions\r\n    - Strategies read:\r\n        - active counts\r\n        - total assigned\r\n        - basis metrics (TOTAL_ITEMS, TOTAL_OUTSTANDING, PRINCIPAL_OUTSTANDING, etc.)\r\n    - Helps RoutingStrategy implement:\r\n        - fair distribution\r\n        - load balancing\r\n        - bias based on outstanding amounts or DPD\r\n    - Provides an up-to-date picture combining:\r\n        - initial DB snapshot from AllocationStateStore\r\n        - in-memory deltas accumulated during the run.\r\n\r\n**Flow Sequence (Short Summary)**\r\n\r\n- ItemAllocator asks AllocationStrategyRegistry for:\r\n    - appropriate RoutingStrategy for node’s allocationStrategy.method when doing PERCENT/BASIS distribution.\r\n- ItemAllocator builds an AllocationRuntimeParams object:\r\n    - attaches AllocationStateView\r\n    - attaches ExpressionExecutor\r\n    - includes relevant flags and basis metrics information\r\n- RoutingStrategy :\r\n    - reads WorkItemView, QueueNodeRuntime, AllocationRuntimeParams\r\n    - decides target child or assignee (or UNASSIGNED)\r\n- ReentryPolicy:\r\n    - optionally provides a preferred sticky target before normal routing\r\n- OverflowHandler:\r\n    - adjusts or overrides the AllocationDecision if limits are breached\r\n- The final decision is written back into AllocationContext and becomes AllocationDecision for that item.\r\n---\r\n#### **Implementation Details:**\r\n---\r\n\r\n- **RoutingStrategy** \r\n```java\r\npublic interface RoutingStrategy {\r\n\r\n    /**\r\n     * Decide how to distribute a batch of items from this node to its children.\r\n     *\r\n     * Typical implementation for PERCENT/BASIS-based methods:\r\n     *  - Compute total basis over all items.\r\n     *  - Compute target share per child based on weights/percentShare.\r\n     *  - Sort items by basis (e.g., outstanding desc).\r\n     *  - Assign items greedily to children with highest (target - allocated) gap.\r\n     */\r\n    Map<QueueNodeRuntime, List<WorkItemView>> route(\r\n        List<? extends WorkItemView> items,\r\n        QueueNodeRuntime node,\r\n        List<QueueNodeRuntime> children,\r\n        AllocationRuntimeParams params\r\n    );\r\n}\r\n```\r\n-  **RoutingResult**\r\n\r\n```java\r\npublic interface RoutingResult {\r\n\r\n    enum Type {\r\n        NEXT_NODE,\r\n        ASSIGNED,\r\n        UNASSIGNED\r\n    }\r\n\r\n    Type getType();\r\n    String getNextNodeFqdn();   // when NEXT_NODE\r\n    String getAssigneeFqdn();   // when ASSIGNED\r\n    String getReason();         // optional\r\n}\r\n```\r\n\r\n- **ReentryPolicy**\r\n\r\n```java\r\npublic interface ReentryPolicy {\r\n\r\n    /**\r\n     * Decide sticky target (child node or assignee) for this node.\r\n     * Example:\r\n     *   - QUEUE node => previous child queue.\r\n     *   - Leaf QUEUE => previous USER/GROUP assignee.\r\n     */\r\n    Optional<NodeReentryTarget> findPreferredTarget(\r\n            WorkItemView item,\r\n            QueueNodeRuntime node,\r\n            AllocationRuntimeParams params\r\n    );\r\n}\r\n```\r\n\r\n```java\r\npublic interface NodeReentryTarget {\r\n    boolean isChildNode();\r\n    boolean isAssignee();\r\n    String getTargetFqdn();\r\n}\r\n```\r\n- **OverflowHandler**\r\n\r\n```java\r\npublic interface OverflowHandler {\r\n\r\n    /**\r\n     * Handle overflow when node/assignee is at limit.\r\n     * Examples:\r\n     *  - SKIP_CASE              – leave unassigned.\r\n     *  - REDIRECT_TO_NODE       – send to EXCEPTIONQ or fallback queue.\r\n     *  - REDIRECT_TO_TARGET     – assign to specific fallback assignee.\r\n     *  - REDISTRIBUTE_REMAINDER – recompute routing in batch.\r\n     */\r\n    AllocationDecision handleOverflow(\r\n            AllocationDecision currentDecision,\r\n            AllocationRuntimeParams params\r\n    );\r\n}\r\n```\r\n- **AllocationStrategyRegistry**\r\n\r\n```java\r\npublic interface AllocationStrategyRegistry {\r\n\r\n    RoutingStrategy getRoutingStrategy(AllocationMethod method);\r\n\r\n    ReentryPolicy getReentryPolicy(ReentryPolicyType type);\r\n\r\n    OverflowHandler getOverflowHandler(OverflowPolicy policy);\r\n}\r\n```\r\n- **ExpressionExecutor**\r\n\r\n```java\r\npublic interface ExpressionExecutor {\r\n\r\n    /**\r\n     * Evaluate boolean expressions like:\r\n     *   \"attr('riskScore') >= 90 && attr('dpd') > 30\"\r\n     */\r\n    boolean evaluateBoolean(String expression, WorkItemView item);\r\n\r\n    /**\r\n     * Evaluate expressions used in ordering/metrics:\r\n     *   \"attr('amount')\", \"attr('dpd')\", etc.\r\n     */\r\n    Object evaluateValue(String expression, WorkItemView item);\r\n}\r\n```\r\n----\r\n\r\n### **State & Persistence Layer**\r\n\r\n#### Class Diagram\r\n![](./images/queueRuntimeL4.png)\r\n\r\n- This layer manages all runtime metrics, counts, and persistence for the queuing engine.\r\n- It provides a consistent view of node state (counts + basis metrics) to:\r\n    - the Runtime Core (Layer 2), and\r\n    - the Strategy Layer (Layer 3).\r\n- It also handles bulk persistence of:\r\n    - assignment decisions\r\n    - metric deltas\r\n\r\n- **Responsibilities**\r\n\r\n- Loading base snapshots via AllocationStateStore\r\n    - QueueEngine calls AllocationStateStore at the start of a run to load:\r\n        - per-node active counts\r\n        - total assigned items (if tracked)\r\n        - per-node basis metrics (TOTAL_ITEMS, TOTAL_OUTSTANDING, etc.)\r\n    - These snapshots represent the current state in DB/cache before the run starts.\r\n    - This allows:\r\n        - correct limit evaluation\r\n        - accurate percent/basis based routing\r\n        - consistent behavior across runs\r\n- Providing a unified AllocationStateView for the run\r\n    - AllocationStateView is the runtime view of node metrics used across:\r\n        - ItemAllocator\r\n        - AllocationContext\r\n        - RoutingStrategy, ReentryPolicy, OverflowHandler (via AllocationRuntimeParams)\r\n    - It combines:\r\n        - base snapshots from AllocationStateStore\r\n        - plus in-memory deltas accumulated during this allocation run\r\n    - This allows:\r\n        - all limit checks and metric-based decisions to see the up-to-date state\r\n        - no extra DB calls during each routing step\r\n- Representing per-node metrics via AllocationSnapshot\r\n    - AllocationSnapshot is the atomic unit of node state, containing:\r\n        - activeCount → how many active assignments on this node\r\n        - totalCount → historical total assignments (optional)\r\n        - basisMetrics → map keyed by BasisMetric (e.g., TOTAL_ITEMS, TOTAL_OUTSTANDING)\r\n    - AllocationStateView returns AllocationSnapshot per nodeFqdn.\r\n    - Strategies and core logic never touch raw DB; they always read snapshots.\r\n- Tracking in-memory changes via AllocationDeltas\r\n    - As ItemAllocator progress through items:\r\n        - each ASSIGNED decision increments/decrements counts and metrics logically\r\n    - Instead of writing immediately to DB, they update an in-memory structure:\r\n        - AllocationDeltas, grouped by nodeFqdn and metric (BasisMetric)\r\n    - This enables:\r\n        - high-throughput batch runs\r\n        - single flush at the end\r\n        - consistency between decisions and metrics\r\n- Bulk persistence via AllocationPersistence\r\n    - At the end of QueueEngine.allocate(...), this layer persists:\r\n        - all AllocationDecision objects (assignment records, audit trail)\r\n        - all AllocationDeltas (updated metrics per node)\r\n    - AllocationPersistence:\r\n        - encapsulates how assignments and metrics are stored (DB, cache, message bus, etc.)\r\n        - can use bulk inserts/updates for performance\r\n    - This guarantees:\r\n        - a single transactional boundary (or best-effort consistency) per run\r\n        - minimal I/O overhead compared to per-item writes\r\n- Exposing metrics to strategies via AllocationRuntimeParams\r\n    - AllocationRuntimeParams receives AllocationStateView and BasisMetric types.\r\n    - Strategy Layer (RoutingStrategy, ReentryPolicy, OverflowHandler) uses these to:\r\n        - compute fair distribution based on TOTAL_ITEMS\r\n        - bias assignments based on OUTSTANDING amounts\r\n        - consider utilization when applying sticky or overflow decisions\r\n    - This keeps metric access centralized and consistent.\r\n- Supporting both real-time and batch with the same mechanism\r\n    - For real-time (single item):\r\n        - AllocationStateStore still provides base snapshot\r\n        - AllocationDeltas are tiny and flush immediately via AllocationPersistence\r\n    - For batch (many items):\r\n        - same logic, just more deltas accumulated\r\n        - same single flush at end\r\n\r\n\r\n\r\n---\r\n#### **Implementation Details:**\r\n---\r\n\r\n- **AllocationStateView**\r\n\r\n```java\r\npublic interface AllocationStateView {\r\n\r\n    /**\r\n     * Returns current snapshot for this node:\r\n     *  - base DB snapshot + in-run deltas.\r\n     */\r\n    AllocationSnapshot getSnapshot(String nodeFqdn);\r\n}\r\n```\r\n- **AllocationSnapshot**\r\n\r\n```java\r\npublic interface AllocationSnapshot {\r\n    int getActiveCount();\r\n    int getTotalCount(); // historical assigned, if tracked\r\n    Map<BasisMetric, Number> getBasisMetrics(); // TOTAL_ITEMS, TOTAL_OUTSTANDING, etc.\r\n}\r\n```\r\n\r\n- **AllocationStateStore**\r\n\r\n```java\r\npublic interface AllocationStateStore {\r\n\r\n    /**\r\n     * Load base snapshots for all nodes in the tree\r\n     * (or all nodes that matter) before a run.\r\n     */\r\n    Map<String, AllocationSnapshot> loadSnapshots(String treeCode);\r\n}\r\n```\r\n\r\n- **AllocationDeltas**\r\n\r\n```java\r\npublic interface AllocationDeltas {\r\n\r\n    /**\r\n     * Active counts deltas per nodeFqdn (can be positive or negative).\r\n     */\r\n    Map<String, Integer> getActiveCountDeltas();\r\n\r\n    /**\r\n     * Deltas for basis metrics per nodeFqdn and metric type.\r\n     */\r\n    Map<String, Map<BasisMetric, Number>> getBasisMetricDeltas();\r\n}\r\n```\r\n- **AllocationPersistence**\r\n\r\n```java\r\npublic interface AllocationPersistence {\r\n\r\n    /**\r\n     * Persist all results and metric deltas in one go.\r\n     * - decisions: per-item final allocation decisions.\r\n     * - deltas: aggregated state changes per node.\r\n     *\r\n     * If options.dryRun == true:\r\n     *   - engine will skip calling this, or implementation will no-op.\r\n     */\r\n    void flush(\r\n            String treeCode,\r\n            List<AllocationDecision> decisions,\r\n            AllocationDeltas deltas\r\n    );\r\n}\r\n```\r\n### **Queue Tree & Node Runtime View Layer**\r\n\r\n#### Class Diagram\r\n![](./images/queueRuntimeL5.png)\r\n\r\n- This layer is responsible for providing a fast, read-only runtime view of the queue tree to all other layers.\r\n- It hides how QueueConfig documents are stored, loaded, and wired into a tree.\r\n- Everyone else (engine, core, strategies) only sees:\r\n    - QueueRegistry as the entry point to the tree\r\n    - QueueNodeRuntime as the node view for traversal and decisions.\r\n\r\n- **Responsibilities**\r\n- QueueRegistry manages the in-memory tree\r\n    - Built from your QueueConfig documents (one per node).\r\n    - Responsibilities:\r\n        - initializeTree(treeCode) to load/refresh the full tree in memory.\r\n        - Provide getRoot(treeCode) to start traversal.\r\n        - Provide getNode(treeCode, fqdn) for random access.\r\n        - Provide getChildren(treeCode, parentFqdn) to traverse down.\r\n    - Why it exists:\r\n        - Avoids repeated DB lookups during allocation.\r\n        - Maintains a canonical, validated tree structure trusted by runtime/core.\r\n        - Decouples config storage format from traversal logic.\r\n\r\n- QueueNodeRuntime is the read-only node view\r\n    - Exposes only what the engine and strategies need:\r\n        - getFqdn() and getCode() → identity\r\n        - getNodeType() → QUEUE / USER / GROUP\r\n        - isLeafQueue() → routing leaf from configuration\r\n        - getAllocationStrategy() → method + basis\r\n        - getSelectionRuleSet() → priority bands & sequence rules\r\n        - getReentryConfig() → sticky assignment rules\r\n        - getLimitConfig() → maxLimit and overflow policies\r\n        - matches(item) → compiled node-level filter predicate\r\n        - matchesChildCriteria(child, item) → compiled child-level criteria (if applicable)        \r\n    - Why it exists:\r\n        - Keeps runtime logic independent of raw JSON shape.\r\n        - Allows you to normalize/derive fields (like depth, isRoot, effective flags) without leaking that logic outside.\r\n        - Guarantees that all runtime consumers see a consistent, validated node representation.\r\n        - Pre-compiles predicates once at tree initialization time for fast Java-side filtering.\r\n- QueueEngine uses QueueRegistry to prepare runs\r\n    - During startup or configuration refresh:\r\n        - QueueEngine (or a bootstrapper) calls QueueRegistry.initializeTree(treeCode).\r\n    - At the beginning of allocation runs:\r\n        - It may ensure that the tree is initialized/valid.\r\n    - Why:\r\n        - Ensures the runtime always operates on the latest configuration snapshot.\r\n        - Avoids mixing “config loading” with traversal logic.\r\n- ItemAllocator uses QueueRegistry & QueueNodeRuntime for traversal\r\n    - ItemAllocator:\r\n        - gets the root node and does node-centric traversal.\r\n        - uses QueueNodeRuntime.matches(item) to filter candidates per node.\r\n        - uses QueueNodeRuntime.matchesChildCriteria(child, item) (if required) to split candidates to children, or uses RoutingStrategy.            \r\n    - Why:\r\n        - Clean separation: traversal algorithm relies on a tree interface instead of raw config entities.\r\n        - Allows different implementations (e.g., precomputed adjacency maps, optimized structures) under the hood.\r\n\r\n- Strategies (RoutingStrategy, ReentryPolicy) use QueueNodeRuntime\r\n    - RoutingStrategy:\r\n        - uses QueueNodeRuntime + children to understand weights and basis for batch distribution.        \r\n    - ReentryPolicy:\r\n        - uses QueueNodeRuntime to read reentry settings: policy, maxLookbackDays, fallbacks.\r\n    - Why:\r\n        - All policy decisions are config-driven but never see raw JSON.\r\n        - Ensures strategies remain testable and decoupled from persistence.\r\n- AllocationRuntimeParams links tree, state, and expressions\r\n    - Although conceptually part of the Strategy layer, it glues:\r\n        - AllocationStateView (metrics)\r\n        - ExpressionExecutor (attr-based evaluation)\r\n        - treeCode / rebalance flags\r\n    - Why it’s mentioned here:\r\n        - Strategies using QueueNodeRuntime almost always use metrics and expressions too.\r\n        - AllocationRuntimeParams is the bundle object passed into strategies alongside QueueNodeRuntime and WorkItemView.\r\n\r\n**Flow Sequence (Short Summary)**\r\n\r\n- QueueEngine / bootstrap initializs tree via QueueRegistry.initializeTree(treeCode).\r\n- Tree batch mode:\r\n    - ItemAllocator starts with the root node and the full item list.\r\n    - At each node, it uses QueueNodeRuntime.matches(item) to compute local candidates.\r\n    - For percent/basis nodes, it uses RoutingStrategy with QueueNodeRuntime and children.\r\n- When traversal completes:\r\n    - AllocationDecision carries the final leafQueueFqdn and assigneeFqdn, fully driven by this tree view.\r\n\r\n\r\n---\r\n#### **Implementation Details:**\r\n---\r\n\r\n- **QueueRegistry**\r\n\r\n```java\r\npublic interface QueueRegistry {\r\n\r\n    /** Load or reload the tree by code, from QueueConfig documents. */\r\n    void initializeTree(String treeCode);\r\n\r\n    QueueNodeRuntime getRoot(String treeCode);\r\n\r\n    QueueNodeRuntime getNode(String treeCode, String fqdn);\r\n\r\n    List<QueueNodeRuntime> getChildren(String treeCode, String parentFqdn);\r\n}\r\n```\r\n- **QueueNodeRuntime**\r\n\r\n```java\r\npublic interface QueueNodeRuntime {\r\n\r\n    String getFqdn();\r\n    String getCode();\r\n\r\n    NodeType getNodeType();    // QUEUE, USER, GROUP\r\n    boolean isLeafQueue();     // routing-defined leaf queue\r\n\r\n    AllocationStrategyConfig getAllocationStrategy(); // may be null\r\n    SelectionRuleSet getSelectionRuleSet();           // may be null\r\n    ReentryConfig getReentryConfig();                 // may be null\r\n    LimitConfig getLimitConfig();                     // may be null\r\n    /**\r\n     * Node-level filter predicate compiled from config (if any).\r\n     * Returns true if this item should be considered a candidate for this node.\r\n     */\r\n    boolean matches(WorkItemView item);\r\n\r\n    /**\r\n     * Child-level criteria (e.g., allocation.criteria per child) compiled from config.\r\n     * Returns true if this item matches the child-specific criteria.\r\n     */\r\n    boolean matchesChildCriteria(QueueNodeRuntime child, WorkItemView item);\r\n}\r\n```\r\n\r\n-  **AllocationRuntimeParams**\r\n\r\n```java\r\npublic interface AllocationRuntimeParams {\r\n\r\n    AllocationStateView getStateView();\r\n    ExpressionExecutor getExpressionExecutor();\r\n    String getTreeCode();\r\n    boolean isRebalance();\r\n}\r\n```\r\n\r\n### Data Model \r\n\r\n- node_stats_daily\r\n    - These are node level metrics and are created during worklist preparation. \r\n    ```json\r\n    [\r\n        {   \r\n            \"treecode\":\"\",\r\n            \"nodeFqdn\": \"ROOT.SEGMENT_HIGH.Q1\",\r\n            \"lastNodeSelected\":\"\",    //fqdn of the last node selected by W or z allocator.\r\n            \"totalCount\":\"\",        // total count across batch\r\n            \"assignedCount\": 25000, //optional\r\n            \"unassignedCount\": 500, //optional\r\n            \"overflowCount\": 200,   //optional\r\n            \"bizDate\": \"\",\r\n            \"basisMetrics\": {\r\n                \"TOTAL_ITEMS\": 54321,               // number (int)\r\n                \"TOTAL_OUTSTANDING\": 12893450.75,   // number (decimal/double)\r\n                \"PRINCIPAL_OUTSTANDING\": 10000000.00,\r\n                \"OVERDUE_AMOUNT\": 2893450.75,\r\n                \"WRITEOFF_OUTSTANDING\": 50000.00\r\n            }, \r\n            \"lastUpdatedAt\":\"\"\r\n        }\r\n    ]\r\n    ```\r\n\r\n- user_stats_daily\r\n    - These are user level metrics and are created during worklist preparation.\r\n    - userid\r\n    - itemType //case account, case, verification, application, lan or anything\r\n    - totalItems\r\n    - businessDate\r\n\r\n- node_worklist (allocationExecutionId, nodeFqdn)\r\n    - jobName = node_worklist_batch\r\n    - allocationExecutionId = allocation run id\r\n    - nodeFqdn\r\n    - treecode\r\n    - orderIndex (0 = root, then BFS/DFS order)\r\n    - status = PENDING | IN_PROGRESS | COMPLETED | FAILED\r\n    - totalItems (optional: items that enter this node)\r\n    - processedItems\r\n    - businessDate\r\n\r\n- node_batch_summary (nodebatchId, nodeFqdn)\r\n    - holds the node level summary data\r\n        - jobName  = node_chunk_worklist_batch\r\n        - allocationExecutionId\r\n        - nodebatchId = node chunk worlist batch run id\r\n        - nodeFqdn\r\n        - totalItems\r\n        - parentjobname = node_worklist.jobName = node_worklist_batch\r\n        - parentexecutionId = node_worklist.allocationExecutionId\r\n        - assignedCount\r\n        - unassignedCount\r\n        - businessDate\r\n        - overflowCount\r\n        - anyother metric...\r\n\r\n- node_chunk_summary  (nodebatchId, nodeFqdn, chunkNumber)\r\n    - holds nodes chunk level summary data\r\n        - jobName = node_chunk_worklist_batch\r\n        - allocationExecutionId\r\n        - nodebatchId = node chunk worlist batch run id\r\n        - nodeFqdn\r\n        - chunkNumber    \r\n        - status (PENDING | IN_PROGRESS | COMPLETED | FAILED)\r\n        - totalItems\r\n        - assignedCount\r\n        - unassignedCount  \r\n\r\n- node_chunk_items\r\n    - holds which all items are part of this chunk\r\n        - jobName = node_chunk_worklist_batch\r\n        - allocationExecutionId\r\n        - nodebatchId = node chunk worlist batch run id\r\n        - nodeFqdn    \r\n        - chunkNumber\r\n        - itemid\r\n\r\n- alloc_batch_items\r\n    - index\r\n        - (allocationExecutionId, currentNodeFqdn, status) -> → for per-node queries \r\n        - (allocationExecutionId, currentNodeFqdn) -> fetching fresh cases for the node\r\n        - (allocationExecutionId, leafNodeFqdn, assigneeFqdn) → for final allocations / reporting.\r\n    - attributes\r\n        - allocationExecutionId\r\n        - workItemId\r\n        - currentNodeFqdn        // which node currently owns this item in the traversal\r\n        - status                 // e.g. PENDING, ASSIGNED, EXCEPTION\r\n        - leafNodeFqdn           // set once you reach leaf\r\n        - assigneeFqdn             // user or group at the end\r\n        - totalOutstanding\r\n        - principalOutstanding\r\n        - overdueAmount\r\n        - writeoffOutstanding\r\n        - other attrs needed for filters / rules (dpd, product, segment, etc.)\r\n\r\n- account_cases_allocation table (already present in collect schema) (add new columns if missing)\r\n    - after account creation, it's main case id will be created and same will be save in the above table with status as UNASSIGNED\r\n    - Columns:\r\n        - accountId\r\n        - caseId\r\n        - isMainCase\r\n        - leafQueueFqdn\r\n        - queueCode\r\n        - queueFqdn\r\n        - collectorId\r\n        - isEligibleForAllocation\r\n        - status  //ASSIGNED, UNASSIGNED, CLOSED\r\n        - lastAllocationBatchId\r\n        - lastAllocationAt\r\n\r\n### Allocation Batch flow\r\n\r\n- node_worklist_batch : (Batch Module)\r\n    - Create allocationExecutionId (root run id)\r\n    - Insert node_worklist rows for (allocationExecutionId,nodeFqdn) with status=PENDING\r\n    - Publish NODE_WORKLIST_PREPARED(allocationExecutionId, treeCode, businessDate)\r\n    - If node_worklist rows already exist for that allocationExecutionId, skip recreate.\r\n    - This batch Job prepares list of nodes and determine their order and store it in the table \"node_worklist\"\r\n    - node_worklist is for the list of nodes and their order topdown, node job id and job name, sequence no.\r\n    - This job will also count list of work items eligible for allocation.\r\n    - publish event NODE_WORKLIST_PREPARED with root node name and total work items\r\n\r\n- NODE_WORKLIST_PREPARED event processor:  (Collect Module)\r\n    - this processor will read from the node_worklist table and prepares daily run summary for the node_stats_daily and user_stats_daily based on the unique node and users\r\n    - Once the above data is completed it will publish an event NODE_READY_FOR_ALLOCATION.\r\n\r\n- NODE_READY_FOR_ALLOCATION/NODE_ALLOCATION_COMPLETED Event Processor :  (Batch Module)\r\n    - Read node_worklist table and finds the first node which is in pending status\r\n    - Trigger node_chunk_worklist_batch for that node with jobname, executionid\r\n    - If no node pending or in-progress then batch allocation completed event\r\n    - Pick next node where status=PENDING ordered by orderIndex\r\n    - Trigger node_chunk_worklist_batch(allocationExecutionId, nodeFqdn, nodeWorklistRunId)\r\n\r\n\r\n- node_chunk_worklist_batch :  (Batch Module)\r\n    - set the status as IN_PROGRESS in the node_worklist for that node\r\n    - Create/Upsert node_batch_summary for (allocationExecutionId,nodeFqdn)\r\n    - Determine items and split into chunks\r\n    - Read the node config and determine basis\r\n    - Fetch items sorted by basis, from:\r\n        - root: account_cases_allocation\r\n        - non-root: alloc_batch_items (currentNodeFqdn = node_fqdn)\r\n    - Save chunk data in the node_chunk_summary with status as PENDING for each chunk with sequence no. and job related params.\r\n    - Save items which are part of the chunks in the node_chunk_items table\r\n    - Once all chunks are prepared it will publish NODE_CHUNK_PREPARED event\r\n        - Publish events with node_fqdn, batch_name, batch_id, run_id = chunkId:\r\n        - Save chunk data in node_chunk_summary.\r\n        - When you create a chunk: insert row with status = PENDING\r\n\r\n\r\n- Batch Allocation completed processor (Batch Module)\r\n    - This processor triggers finalization batch job\r\n    - allocation_finalization_batch\r\n        - Finalization step : Input: batchId,executionId, queueCode/treeCode.\r\n        - Fetch all rows from alloc_batch_items where:\r\n            - batchId = :batchId\r\n            - status = 'ASSIGNED'\r\n        - Updates account_cases_allocation (main case rows) with:\r\n            - leafQueueFqdn, queueFqdn, collectorId, status, lastAllocationBatchId, lastAllocationAt.\r\n\r\n\r\n### Event Processor in Collect Module for NODE_CHUNK_PREPARED/NODE_CHUNK_COMPLETED\r\n- This event processor will get list of accounts for which allocation needs to be run. \r\n- Sets chunk summary status as IN_PROGRESS \r\n- It will prepare workItem data for each account which are part of the chunks\r\n- Call queueEngine api and pass the queue code and list of workitems\r\n- QueueEngine will process them and allocate them node wise\r\n- it will persists data in the summary and stats \r\n- It will return the results back to the processor. \r\n- Sets Chunk summary status as COMPLETED.\r\n- it will publish NODE_CHUNK_COMPLETED event once the entire chunk is processed. \r\n- If not chunk are pending then it will publish NODE_ALLOCATION_COMPLETED event. \r\n    - after all chunks are processed :\r\n        - update node_batch_summary\r\n        - Set status = COMPLETED in chunk summary.\r\n        - Publish NODE_CHUNK_COMPLETED(allocationExecutionId, nodeFqdn, chunkNumber, status)\r\n\r\n\r\n- Generic Batch Table for keeping all Batch run's and it's status. \r\n    - pk\r\n    - JobName\r\n    - executionId\r\n    - Status\r\n    - startedAt\r\n    - finishedAt\r\n","filename":"\\6.QueueEngine.md","format":"Markdown","order":12,"title":""},{"content":"## Pickup Request \r\n\r\n### Purpose \r\nEnable a telecaller to raise a cash/cheque pickup request when a customer confirms availability of funds, and create an alternate case that is routed/assigned to field agency/field collectors for execution and tracking.\r\n\r\n### Scope\r\n- Includes:\r\n    - Pickup request capture (date/time/amount/contact/address/remarks)\r\n    - Auto creation of an alternate case (case_type = PICKUP)\r\n    - Assignment to agency/field collectors\r\n    - Execution lifecycle (accept → in-progress → collected / failed / cancelled)\r\n    - Query endpoints for telecaller/supervisor/field agent worklists\r\n    - Audit logging via account_activities event trail (high level)\r\n\r\n- Out of scope (can be phase-2):\r\n    - Route optimization, OTP confirmation, geo-fencing, cash reconciliation accounting, receipt printing\r\n\r\n### Functional Requirements\r\n- Telecaller\r\n    - Creates a pickup request against an account (and optionally a case context).\r\n    - System creates an alternate case and links it to the pickup request.\r\n    - Can view pickup request status and history for the account/case.\r\n- Field Collector / Agency Agent\r\n    - Views assigned pickup requests (worklist).\r\n    - updates status.\r\n    - Marks collected with collected amount and payment reference, or marks failed with reason.\r\n\r\n### Core Design Decisions\r\n- Separation of Concerns\r\n    - account_cases_allocation remains the case header and ownership table.\r\n    - Pickup-specific details and lifecycle are stored in a separate transactional table account_pickup_requests.\r\n- Case Model Extension\r\n    - Add a case type discriminator to support pickup as an alternate case:\r\n    - case_type_code (e.g., NORMAL, PICKUP, FIELD_VISIT, LEGAL, etc.)\r\n\r\n### Data Model\r\n- New column in the account_cases_allocation : case_type_code varchar(40)\r\n- For pickup alternate case: is_main_case=false\r\n- queue_code should map to a field/agency queue (or left to supervisor assignment flow)\r\n\r\n#### account_pickup_requests table\r\n- pickup_request_key  : PK BigInt\r\n- account_id          : varchar(40)\r\n- case_id             : varchar(40)\r\n- pickup_request_date : varchar(10)     \r\n- pickup_request_time : varchar(10)\r\n- amount              : numeric(19,6)\r\n- contact_person      : varchar(255)\r\n- contact_address     : varchar(500)     \r\n- contact_number      : varchar(20)\r\n- pickup_remarks      : varchar(500)     \r\n- current_status      : varchar(40)     //COLLECTED,RESCHEDULED,PENDING\r\n- collected_amount     : numeric(19,6)    \r\n- payment_reference_number : varchar(100)\r\n\r\n### account_pickup_request_status\r\n- pickup_status_key    : BigInt\r\n- pickup_request_key   : FK BigInt\r\n- status               : varchar(40)  //COLLECTED,RESCHEDULED,PENDING\r\n- reschedule_date      : varchar(10)\r\n- reschedule_time      : varchar(10)\r\n- remarks              : \r\n\r\n\r\n### Endpoints\r\n#### Create Alternate Case (Pickup request)\r\n- POST /api/v1/collect/accounts/{accountId}/cases\r\n    - Body params : caseType = PICKUP\r\n    - Above other params required in pickup\r\n\r\n- PUT /api/v1/collect/accounts/{accountId}/cases/{caseId}\r\n    - Update status and other params\r\n\r\n- GET /api/v1/collect/accounts/{accountId}/cases/{caseId}\r\n    - existing + new pickup related params\r\n\r\n- Pickup history GET ALL /api/v1/collect/accounts/{accountId}/cases?caseType=PICKUP\r\n    - Get pick up cases for the account\r\n\r\n\r\n\r\n","filename":"\\7.PickupRequest.md","format":"Markdown","order":13,"title":""},{"content":"## Payment collection and Annexure\r\nEntire process of payment collection is divided into the following steps:\r\n\r\n### Payment Collection \r\nAgent will collect the payment from the customer. The payment can be collected through various modes such as cash, cheque, demand draft, bank transfer, or online payment gateways. After collecting the payment agent will do the data entry of the payment details into the system and generate a receipt for the customer. The receipt will include details such as the amount paid, date of payment, mode of payment, and any other relevant information. The agent will provide a copy of the receipt to the customer for their records.\r\nFor the online payment, it will be directly reflected in the system and receipt will be generated automatically. Also the payment will get passed to the LMS system for further processing. \r\n\r\n### Annexure Generation\r\nFor the payment type, cash, cheque and demand draft, agent has to submit them in the branch after collecting from the customer.\r\nAfter the payment has been collected and recorded, the agent will generate an annexure (for cash, cheque and DD) that summarizes the payment details. The annexure will include what all payment receipts are part of the annexure. Annexure will be submitted to the branch and branch user will verify the annexure and approve it for further processing. Once approved, agent will get a deposit slip for the submitted payments. Once the annexure is approved, the payment details will be passed to the LMS system for further processing.\r\n\r\n### Deposit upload\r\nAfter generating and approving the annexure, the agent will proceed to upload the deposit slip into the system.\r\n\r\n\r\n### Data Model\r\naccount --* payment_collection \r\n\r\nannexure --* payment_collection\r\n\r\nannexure -- annexure_deposit\r\n\r\ntables as per lam.xlsx\r\n\r\n### APIs\r\n\r\n#### Payment Collection API\r\n- Collect-Execution-Module:\r\n    - Create Payment Collection action\r\n        - verify account and other details using collection-module APIs\r\n        - call payment collection POST endpoint of payment-module\r\n    - Query spec for Payment Collection GET and GET All APIs\r\n        - fetch account details from collection-module APIs\r\n        - fetch payment collection details from payment-module APIs\r\n\r\n- Payment-Module:\r\n    - Create Payment receipts API\r\n        - /api/v1/payments/payments-receipts\r\n        - POST\r\n    - Get Payment receipts API\r\n        - /api/v1/payments/payments-receipts/{paymentCollectionId}\r\n        - GET\r\n    - Get All Payment receipts API\r\n        - /api/v1/payments/payments-receipts?accountId={accountId}&&collectorId={collectorId}\r\n        - GET\r\n\r\n- LMS Module : \r\n    - Existing DRE endpoints will be used and if mode is CASH_ANNEXURE, CHEQUE_ANNEXURE or DD_ANNEXURE then after approval LMS will call the payment module apis to create payment collection record.\r\n\r\n#### Annexure Generation API\r\n- Payment-Module:\r\n    - Create Annexure API\r\n        - /api/v1/payments/annexures\r\n        - POST\r\n        - contains list of payment receipts or payment receipts Ids\r\n    - Get Annexure API\r\n        - /api/v1/payments/annexures/{annexureId}\r\n        - GET\r\n    - Get All Annexures API\r\n        - /api/v1/payments/annexures\r\n        - GET\r\n    - Put Annexure Approval API\r\n        - /api/v1/payments/annexures/{annexureId}\r\n        - PUT\r\n\r\n#### Deposit Upload API\r\n- Payment-Module:\r\n    - Create Deposit API\r\n        - /api/v1/payments/annexures/{annexureId}/annexure-deposits\r\n        - POST\r\n    - Get All Deposit API\r\n        - /api/v1/payments/annexures/{annexureId}/annexure-deposits\r\n        - GET\r\n\r\n","filename":"\\8.Annexure.md","format":"Markdown","order":14,"title":""},{"content":"## Dialer Integration \r\n\r\nDialer integration allows you to connect your dialer system with your CRM, enabling seamless communication and data synchronization between the two platforms. This integration can help improve efficiency, enhance customer interactions, and provide valuable insights into tele calling activities.\r\n\r\n### Collect Execution Module API Endpoints\r\n\r\n#### API for initiating a call\r\n- **Endpoint**: /api/v1/cem/tasks/initiate-call\r\n- **Method**: POST\r\n- **Description**: This API is used by the collector on our portal to initiate a call to the customer. It will trigger the dialer system to place a call to the specified customer number.\r\n- **Flow** : \r\n    - This will first fires a rest api call to the collect module to create a call entry in the table and get the source reference Id.\r\n    - It will call the user managment service to get the username of the dialer system and other required details\r\n    - It will prepare call initiation request to the communication module which will generate reference and store in it's db and fires request to dialer system to initiate the call. \r\n- **Request Body** (As per dialect spec):\r\n    -  customercode: string\r\n    -  phonenumber: string\r\n    -  accountid: string\r\n\r\n- **Response Parameters**:\r\n    - \"referenceId\": \"string\",\r\n    - \"status\": \"string\",\r\n    - \"message\": \"string\"\r\n\r\n#### API to Hang up a call\r\n- **Endpoint**: /api/v1/cem/tasks/hangup-call\r\n- **Method**: POST\r\n- **Description**: This API is used by the collector on our portal to hang up an ongoing call. It will call the dialer system to terminate the call with the specified call ID.\r\n- **Flow** :  \r\n    - This will first fires a rest api call to the collect module to verify the details.\r\n    - It will call the user managment service to get the username of the dialer system and other required details\r\n    - It will call the communication module hangup api which will fire request to dialer system to hang up the call.\r\n\r\n- **Request Body**:\r\n    -  referenceId: string  // It can be callId or any unique identifier to track the call in dialer system\r\n    -  customercode: string\r\n    -  phonenumber: string\r\n    -  accountid: string\r\n\r\n- **Response Parameters**:\r\n    - \"referenceId\": \"string\",\r\n    - \"status\": \"string\",\r\n    - \"message\": \"string\"\r\n\r\n\r\n### Collect Module API Endpoints\r\n#### Create Call request\r\n- **POST** /api/v1/collect/customers/{customerId}/accounts/{accountId}/calls\r\n- **Description**: This API will be called by the execution module to create an entry in the table and return callId and also it validates first whether the call can be made or not by checking the account and customer details and also checks for DND status. If all validations are successful then it will return callId and status as success otherwise failure with appropriate message.\r\n#### Update Call request\r\n- **PUT** /api/v1/collect/customers/{customerId}/calls/{callId}\r\n- **Description**: This API will be called by the execution module to update the call status to either completed or failed based on the call outcome. It will update the call record in the table with the new status and return the updated call details.\r\n#### Get Call details\r\n- **GET** /api/v1/collect/customers/{customerId}/calls/{callId}\r\n- **Description**: This API will be called by the execution module to fetch the call details using callId. It will return the call record from the table with all the relevant information such as customer details, account details, call status, etc.\r\n#### Get All Calls for an account\r\n- **GET** /api/v1/collect/customers/{customerId}/calls?accountId={accountId}    \r\n- **Description**: This API will be called by the execution module to fetch all the call records for a specific account. It will return a list of call records associated with the given account ID, allowing the collector to view the call history for that account.\r\n\r\n### Communication Module API Endpoints for Dialer Integration\r\nThe communication module will expose the following APIs which will be called by the collect execution module to perform various actions related to call initiation, call hangup and call disposal. These APIs will internally interact with the dialer system to trigger the respective actions. It will also expose a webhook API to receive call status updates from the dialer system and update the call records in the collect module accordingly.\r\n\r\n#### call initiation API\r\n- **Endpoint**: /api/v1/communication/calls\r\n- **Method**: POST\r\n- **Description**: This API will be called by the collect execution module to initiate a call to the customer. It will accept the necessary details such as customer number, agent number, reference ID, etc. and will trigger the dialer system to place the call. It will return the status of the call initiation request along with any relevant information such as call ID, etc.\r\n- **Request Body**:\r\n```json\r\n{\r\n    \"referenceId\": \"string\", // It can be callId or any unique identifier to track the call in dialer system\r\n    \"agentNumber\": \"string\",\r\n    \"customerNumber\": \"string\",\r\n    \"action\": \"INITIATE_CALL\"\r\n}\r\n```\r\n- **Response Parameters**:\r\n    - \"transactionId\": \"string\",\r\n    - \"status\": \"string\",\r\n    - \"message\": \"string\"\r\n\r\n#### call hangup API\r\n- **Endpoint**: /api/v1/communication/calls/{referenceId}\r\n- **Method**: PUT\r\n- **Description**: This API will be called by the collect execution module to hang up an ongoing call. It will accept the necessary details such as call ID, agent number, customer number, etc. and will trigger the dialer system to terminate the call. It will return the status of the call hangup request along with any relevant information such as call ID, etc.\r\n- **Request Body**:\r\n```json\r\n{\r\n    \"agentNumber\": \"string\",\r\n    \"customerNumber\": \"string\",\r\n    \"action\": \"HANGUP_CALL\"\r\n}\r\n```\r\n- **Response Parameters**:\r\n    - \"transactionId\": \"string\",\r\n    - \"status\": \"string\",\r\n    - \"message\": \"string\"\r\n\r\n#### call dispose API\r\n- **Endpoint**: /api/v1/communication/calls/{referenceId}\r\n- **Method**: PUT\r\n- **Description**: This API will be called by the collect execution module to dispose the call record after the call is completed or failed. It will accept the necessary details such as call ID, agent number, customer number, disposition, etc. and will trigger the dialer system to dispose the call record. It will return the status of the call dispose request along with any relevant information such as call ID, etc.\r\n- **Request Body**:\r\n```json\r\n{\r\n    \"agentNumber\": \"string\",\r\n    \"customerNumber\": \"string\",\r\n    \"disposition\": \"string\",\r\n    \"action\": \"DISPOSE_CALL\"\r\n}\r\n```\r\n\r\n\r\n#### Webhook API  to receive call status updates from dialer system\r\n- **Endpoint**: /webhooks/v1/communication/dialer\r\n- **Method**: POST\r\n- **Description**: This API will be exposed as a webhook to receive call status updates from the dialer system. Whenever there is a change in the call status (e.g., call connected, call disconnected, call failed, etc.), the dialer system will send a POST request to this webhook with the updated call details. The collect module will then update the call record in the table accordingly based on the received status update.\r\n- **Request Body** :\r\n    - referenceId: string // It can be callId or any unique identifier to track the call in dialer system\r\n    - customerNumber: string\r\n    - customerDuration: string\r\n    - customerDialStatus: string\r\n    - customerHangupCause: string\r\n    - agentNumber: string\r\n    - agentDuration: string\r\n    - agentDialStatus: string\r\n    - agentHangupCause: string\r\n    - disconnectedBy: string\r\n    - recordingurl: string\r\n    - callduration: string\r\n    - disposition: string\r\n    - serviceType: string\r\n    - callStartTime: string\r\n    - callEndTime: string\r\n    - eventDatetime: string\r\n\r\n```json\r\n{\r\n  \"eventType\": \"CALL_STATUS_UPDATE\",\r\n  \"eventDatetime\": \"2026-02-23T18:45:12+05:30\",\r\n  \"serviceType\": \"CONTAQUE\",\r\n  \"referenceId\": \"9f8a7c2e-4e3a-4ad3-baa7-3b9cde8b9e0d\", //can be callId or any unique identifier to track the call in dialer system\r\n  \"callDirection\": \"OUTBOUND\",\r\n  \"customer\": {\r\n    \"customerNumber\": \"+919876543210\",\r\n    \"durationSeconds\": 132,\r\n    \"dialStatus\": \"CONNECTED\",\r\n    \"hangupCause\": \"NORMAL_CLEARING\"\r\n  },\r\n\r\n  \"agent\": {\r\n    \"agentNumber\": \"+919911223344\",\r\n    \"username\": \"agent.tid001\",\r\n    \"durationSeconds\": 140,\r\n    \"dialStatus\": \"CONNECTED\",\r\n    \"hangupCause\": \"NORMAL_CLEARING\"\r\n  },\r\n\r\n  \"call\": {\r\n    \"callStartTime\": \"2026-02-23T18:42:50+05:30\",\r\n    \"callEndTime\": \"2026-02-23T18:45:10+05:30\",\r\n    \"callDurationSeconds\": 140,\r\n    \"disconnectedBy\": \"CUSTOMER\",\r\n    \"disposition\": \"PTP_TAKEN\",\r\n    \"recordingUrl\": \"https://recordings.example.com/tid001/CALL-9f8a7c2e.mp3\",\r\n    \"remarks\": \"Optional free text from dialer if available\"\r\n  }\r\n}\r\n```    \r\n\r\n- **Response Parameters**:\r\n    - 200 OK on successful processing of the webhook\r\n\r\n\r\n### Dialer Endpoints\r\n#### Intiate call api \r\nIt is exposed by 3rd party dialer system which will be called by our collect execution module to trigger the call to customer number.\r\n- **Method**: POST\r\n- **URL**: https://<your-domain>/custom-contaque/v1/click-2-call\r\n- **Headers**: \r\n    - Authorization = Basic Base64Encoded Value of (domainname:authtoken)\r\n- **Body** \r\n```java\r\n{\r\n    \"username\": \"\",\r\n    \"phoneNumber\": \"\",\r\n    \"referenceId\": \"\" // It can be callId or any unique identifier to track the call in dialer system\r\n}\r\n```\r\n- **Response Data**:\r\n    - **Success Response**:\r\n    ```json\r\n    {\r\n        \"type\": \"CONTAQUE-BACKEND\",\r\n        \"query\": \"SUCCESS\",\r\n        \"response\": \"SUCCESS\",\r\n        \"data\": {\r\n            \"success\": \"Call Initate Successfully\"\r\n        }\r\n    }\r\n    ```\r\n    - **Failed Response**:\r\n    ```json\r\n    {\r\n        \"type\": \"CONTAQUE-BACKEND\",\r\n        \"response\": \"FAILURE\",\r\n        \"error\": {\r\n            \"code\": 0,\r\n            \"message\": \"FAILURE\",\r\n            \"description\": \"description\"\r\n        }\r\n    }\r\n    ```\r\n- **Possible Response Messages**:\r\n    - Agent Does Not Exist\r\n    - Domain Does Not Exist\r\n    - Agent Not Logged In\r\n    - Agent Campaign/Skill Not Found\r\n    - Trunk Channel Not Available\r\n    - Internal Server Error\r\n    - Username Cannot Be Blank\r\n    - PhoneNumber Cannot Be Blank\r\n    - Agent Already On Call\r\n\r\n#### Hang up call api\r\nApi to hang up an ongoing call which is exposed by 3rd party dialer system and will be called by our collect execution module to terminate the call.\r\n- **Method**: POST\r\n- **URL**: https://<your-domain>/custom-contaque/v1/click-2-hangup\r\n- **Headers**: \r\n    - Authorization = Basic Base64Encoded Value of (domainname:authtoken)\r\n- **Body**\r\n```java\r\n{\r\n    \"username\": \"\",\r\n    \"phoneNumber\": \"\",\r\n    \"referenceId\": \"\" // It can be callId or any unique identifier to track the call in dialer system\r\n}\r\n```\r\n- **Response Data**:\r\n    - **Success Response**:\r\n    ```json\r\n    {\r\n        \"type\": \"CONTAQUE-BACKEND\",\r\n        \"query\": \"SUCCESS\",\r\n        \"response\": \"SUCCESS\",\r\n        \"data\": {\r\n            \"success\": \"Call Hung up Successfully\"\r\n        }\r\n    }\r\n    ```\r\n    - **Failed Response**:\r\n    ```json\r\n    {\r\n        \"type\": \"CONTAQUE-BACKEND\",\r\n        \"response\": \"FAILURE\",\r\n        \"error\": {\r\n            \"code\": 0,\r\n            \"message\": \"FAILURE\",\r\n            \"description\": \"description\"\r\n        }\r\n    }\r\n    ```\r\n- **Possible Response Messages**:\r\n    - Agent Does Not Exist\r\n    - Domain Does Not Exist\r\n    - Agent Not Logged In\r\n    - Agent call already Hangup\r\n    - Internal Server Error\r\n    - Username Cannot Be Blank\r\n    - PhoneNumber Cannot Be Blank\r\n\r\n#### Dispose call api\r\nApi to dispose the call record after the call is completed or failed which is exposed by 3rd party dialer system and will be called by our collect execution module to dispose the call record.\r\n- **Method**: POST\r\n- **URL**: https://<your-domain>/custom-contaque/v1/click-2-dispose\r\n- **Headers**: \r\n    - Authorization = Basic Base64Encoded Value of (domainname:authtoken)\r\n- **Body**\r\n```java\r\n{\r\n    \"username\": \"\",\r\n    \"phoneNumber\": \"\",\r\n    \"referenceId\": \"\", // It can be callId or any unique identifier to track the call in dialer system\r\n    \"disposition\": \"\" // Call outcome can be either completed or failed\r\n}\r\n```     \r\n- **Response Data**:\r\n    - **Success Response**:\r\n    ```json\r\n    {\r\n        \"type\": \"CONTAQUE-BACKEND\",\r\n        \"query\": \"SUCCESS\",\r\n        \"response\": \"SUCCESS\",\r\n        \"data\": {\r\n            \"success\": \"Call Disposed Successfully\"\r\n        }\r\n    }\r\n    ```\r\n    - **Failed Response**:\r\n    ```json\r\n    {\r\n        \"type\": \"CONTAQUE-BACKEND\",\r\n        \"response\": \"FAILURE\",\r\n        \"error\": {\r\n            \"code\": 0,\r\n            \"message\": \"FAILURE\",\r\n            \"description\": \"description\"\r\n        }\r\n    }\r\n    ```\r\n- **Possible Response Messages**:\r\n    - Agent Does Not Exist\r\n    - Domain Does Not Exist\r\n    - Agent Not Logged In\r\n    - Agent call already Hangup\r\n    - Disposition Not Found\r\n    - Internal Server Error\r\n    - Username Cannot Be Blank\r\n    - PhoneNumber Cannot Be Blank\r\n    - Disposition Cannot Be Blank\r\n\r\n### Tables in Collect Module for Dialer Integration\r\n#### Calls Table\r\nThis table will store the call records for all the calls made through the dialer system. \r\n\r\nIt will have the following columns (add more columns if required):\r\n- callId (Primary Key)\r\n- customerId \r\n- accountId \r\n- caseId\r\n- collectorId\r\n- agentId (from dialer system)\r\n- agentPhoneNumber\r\n- agentUsername (from dialer system)\r\n- customerPhoneNumber\r\n- customerName\r\n- customerNumber\r\n- callStatus (e.g., CALL_INITIATED, IN_PROGRESS, COMPLETED, FAILED, HANGUP_INITIATED, HANGUP_SUCCESS, HANGUP_FAILED, DISPOSE_SUCCESS, DISPOSE_FAILED)\r\n- callStartTime\r\n- callEndTime\r\n- callDuration\r\n- callOutcome (e.g., Completed, Failed)\r\n- callRecordingUrl\r\n\r\n\r\n\r\n","filename":"\\9.DialerIntegration.md","format":"Markdown","order":15,"title":""}]},"id":8,"lastModifiedAgent":"structurizr-cli/","lastModifiedDate":"2026-03-10T05:00:18Z","lastModifiedUser":"kaushikpatel@RT0006","model":{"people":[{"description":"Admin User","id":"1","location":"Unspecified","name":"Admin User","properties":{"structurizr.dsl.identifier":"admin"},"tags":"Element,Person"},{"description":"Employee User","id":"2","location":"Unspecified","name":"Employee User","properties":{"structurizr.dsl.identifier":"employee"},"tags":"Element,Person"}],"softwareSystems":[{"containers":[{"description":"UI for the Collect Handoff","documentation":{},"id":"4","name":"Collect Handoff UI","properties":{"structurizr.dsl.identifier":"collecthandoffui"},"relationships":[{"description":"calls","destinationId":"5","id":"7","sourceId":"4","tags":"Relationship,HTTP","technology":"HTTP/JSON"}],"tags":"Element,Container,UI","technology":"ReactJS"},{"description":"Collect Handoff Module","documentation":{},"id":"5","name":"Collect Handoff Module","properties":{"structurizr.dsl.identifier":"collecthandoffmodule"},"relationships":[{"description":"read/writes from/to","destinationId":"6","id":"8","sourceId":"5","tags":"Relationship"},{"description":"calls","destinationId":"13","id":"29","sourceId":"5","tags":"Relationship"},{"description":"calls","destinationId":"9","id":"30","linkedRelationshipId":"29","sourceId":"5"}],"tags":"Element,Container,CONTAINER","technology":"java"},{"description":"Collect Handoff DB","documentation":{},"id":"6","name":"Collect Handoff DB","properties":{"structurizr.dsl.identifier":"collecthandoffdb"},"tags":"Element,Container,RELDB","technology":"postgres"}],"documentation":{},"id":"3","location":"Unspecified","name":"Collect Handoff System","properties":{"structurizr.dsl.identifier":"collecthandoff"},"relationships":[{"description":"calls","destinationId":"13","id":"31","linkedRelationshipId":"29","sourceId":"3"},{"description":"calls","destinationId":"9","id":"32","linkedRelationshipId":"29","sourceId":"3"}],"tags":"Element,Software System"},{"containers":[{"description":"UI for the Collect portal","documentation":{},"id":"10","name":"Collect UI","properties":{"structurizr.dsl.identifier":"collectui"},"relationships":[{"description":"calls","destinationId":"11","id":"16","sourceId":"10","tags":"Relationship,HTTP","technology":"HTTP/JSON"}],"tags":"Element,Container,UI","technology":"ReactJS"},{"components":[{"description":"Dictionary for the Dilect","documentation":{},"id":"12","name":"collect Dialect","properties":{"structurizr.dsl.identifier":"collectdialect"},"tags":"Element,Component","technology":"java"}],"description":"an Execution Module responsible for orchestrating the UI, Services and BRE","documentation":{},"id":"11","name":"Execution Module","properties":{"structurizr.dsl.identifier":"executionmodule"},"relationships":[{"description":"calls","destinationId":"13","id":"17","sourceId":"11","tags":"Relationship,HTTP","technology":"HTTP/JSON"}],"tags":"Element,Container,CONTAINER","technology":"java"},{"description":"Collect Module","documentation":{},"id":"13","name":"Collect Module","properties":{"structurizr.dsl.identifier":"collectmodule"},"relationships":[{"description":"read/writes from/to","destinationId":"14","id":"18","sourceId":"13","tags":"Relationship"},{"description":"read from","destinationId":"15","id":"19","sourceId":"13","tags":"Relationship"}],"tags":"Element,Container,CONTAINER","technology":"java"},{"description":"Collect DB","documentation":{},"id":"14","name":"Collect DB","properties":{"structurizr.dsl.identifier":"collectdb"},"tags":"Element,Container,RELDB","technology":"postgres"},{"description":"Collect Elastic Search DB","documentation":{},"id":"15","name":"Collect Elastic search DB","properties":{"structurizr.dsl.identifier":"collectelasticdb"},"tags":"Element,Container,ELASTICDB","technology":"elastic"}],"documentation":{},"id":"9","location":"Unspecified","name":"Collect Software System","properties":{"structurizr.dsl.identifier":"collect"},"relationships":[{"description":"publishes","destinationId":"20","id":"27","sourceId":"9","tags":"Relationship"}],"tags":"Element,Software System"},{"documentation":{},"id":"20","location":"Unspecified","name":"Event Bus","properties":{"structurizr.dsl.identifier":"eventbus"},"tags":"Element,Software System"},{"containers":[{"description":"UI for the Notification portal","documentation":{},"id":"22","name":"Notification UI","properties":{"structurizr.dsl.identifier":"notificationui"},"relationships":[{"description":"calls","destinationId":"23","id":"25","sourceId":"22","tags":"Relationship,HTTP","technology":"HTTP/JSON"}],"tags":"Element,Container,UI","technology":"ReactJS"},{"description":"notification Module","documentation":{},"id":"23","name":"notification Module","properties":{"structurizr.dsl.identifier":"notificationmodule"},"relationships":[{"description":"read/writes from/to","destinationId":"24","id":"26","sourceId":"23","tags":"Relationship"}],"tags":"Element,Container,CONTAINER","technology":"java"},{"description":"notification DB","documentation":{},"id":"24","name":"notification DB","properties":{"structurizr.dsl.identifier":"notificationdb"},"tags":"Element,Container,RELDB","technology":"postgres"}],"documentation":{},"id":"21","location":"Unspecified","name":"Notification System","properties":{"structurizr.dsl.identifier":"notification"},"relationships":[{"description":"consumes","destinationId":"20","id":"28","sourceId":"21","tags":"Relationship"}],"tags":"Element,Software System"}]},"name":"Collect System","properties":{"structurizr.dsl":"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"},"revision":104,"views":{"configuration":{"branding":{},"styles":{"elements":[{"color":"#ffffff","tag":"Element"},{"background":"#a6b7c9","shape":"Person","tag":"Person"},{"background":"#1c75bc","shape":"RoundedBox","stroke":"#333b44","strokeWidth":4,"tag":"Software System"},{"background":"#1c75bc","shape":"RoundedBox","stroke":"#333b44","strokeWidth":4,"tag":"Container"},{"background":"#1c75bc","color":"#ece5f2","shape":"Component","stroke":"#333b44","strokeWidth":4,"tag":"Component"},{"background":"#c57b57","shape":"Cylinder","stroke":"#333b44","strokeWidth":4,"tag":"RELDB"},{"background":"#c5be57","shape":"Cylinder","stroke":"#333b44","strokeWidth":4,"tag":"ELASTICDB"},{"background":"#00a79d","shape":"Pipe","stroke":"#333b44","strokeWidth":4,"tag":"EVENTBUS"},{"background":"#c9c4cd","shape":"RoundedBox","stroke":"#333b44","strokeWidth":4,"tag":"EXTERNAL"}],"relationships":[{"color":"#333b44","tag":"MESSAGE"},{"color":"#1c75bc","tag":"HTTP"},{"color":"#00a79d","tag":"HTTPS"},{"color":"#f1be06","tag":"HCI"}]},"terminology":{}},"containerViews":[{"automaticLayout":{"applied":false,"edgeSeparation":0,"implementation":"Graphviz","nodeSeparation":300,"rankDirection":"TopBottom","rankSeparation":300,"vertices":false},"elements":[{"id":"3","x":0,"y":0},{"id":"10","x":0,"y":0},{"id":"11","x":0,"y":0},{"id":"13","x":0,"y":0},{"id":"14","x":0,"y":0},{"id":"15","x":0,"y":0}],"externalSoftwareSystemBoundariesVisible":false,"generatedKey":true,"key":"Container-001","order":3,"relationships":[{"id":"16"},{"id":"17"},{"id":"18"},{"id":"19"},{"id":"31"}],"softwareSystemId":"9"},{"automaticLayout":{"applied":false,"edgeSeparation":0,"implementation":"Graphviz","nodeSeparation":300,"rankDirection":"TopBottom","rankSeparation":300,"vertices":false},"elements":[{"id":"22","x":0,"y":0},{"id":"23","x":0,"y":0},{"id":"24","x":0,"y":0}],"externalSoftwareSystemBoundariesVisible":false,"generatedKey":true,"key":"Container-002","order":4,"relationships":[{"id":"25"},{"id":"26"}],"softwareSystemId":"21"}],"systemContextViews":[{"automaticLayout":{"applied":false,"edgeSeparation":0,"implementation":"Graphviz","nodeSeparation":300,"rankDirection":"TopBottom","rankSeparation":300,"vertices":false},"elements":[{"id":"3","x":0,"y":0},{"id":"9","x":0,"y":0},{"id":"20","x":0,"y":0}],"enterpriseBoundaryVisible":true,"generatedKey":true,"key":"SystemContext-001","order":2,"relationships":[{"id":"27"},{"id":"32"}],"softwareSystemId":"9"}],"systemLandscapeViews":[{"automaticLayout":{"applied":false,"edgeSeparation":0,"implementation":"Graphviz","nodeSeparation":300,"rankDirection":"TopBottom","rankSeparation":300,"vertices":false},"elements":[{"id":"1","x":0,"y":0},{"id":"2","x":0,"y":0},{"id":"3","x":0,"y":0},{"id":"9","x":0,"y":0},{"id":"20","x":0,"y":0},{"id":"21","x":0,"y":0}],"enterpriseBoundaryVisible":true,"generatedKey":true,"key":"SystemLandscape-001","order":1,"relationships":[{"id":"27"},{"id":"28"},{"id":"32"}]}]}}