{"configuration":{},"description":"Description","documentation":{"images":[{"content":"iVBORw0KGgoAAAANSUhEUgAAAxIAAAHDCAIAAAA/W7s/AACAAElEQVR4XuydCXxPV97/k4hIELHvtGgtpST2oBIk2iKtpUwxxrSmrWJib8tLqZaa4VGtpYmtlqaWEGqLWMcSgmlTtHYqaimhJmeemU7b55nH/zP325z/de85vy2/hF/yfb/yyut3zz379v2cu5zrd49hGIZhGIZxAT+rA8MwDMMwDKOCZRPDMAzDMIxLsGxiGIZhGIZxCZZNDMMwDMMwLsGyiWEYhmEYxiW0sunWrVsHDhz4C8MwDMMwTNHj2rVrVm2kk03Tpk0rVqyYH8MwDMMwTFElPDw8PT3dLJAUsunmzZvQTL/97W+tuothGIZhGKZosGDBgjp16oSFheXk5EiNpJBNEFZQWLt377aeYBiGYRiGKTJs27YNish8wUkhm6Cw4An/rScYhmEYhmGKDHZFxLKJYRiGYRhGgV0RsWxiGIZhGIZRYFdELJuYQs73339/+vRpIYT1hE/xP//zP//7v/9rdfWI/8lFuvzf//0fufz73/82eXQChXIaxIOc//TTT1999dW//vUvb2XVAR5kz2N0NYYMyJLCj+Wsj4Jxd/bsWasrw/gadkXEsokptOzatatJkyb0EmmxYsX69Olz69Ytq6eHlX/84x8TJkyQFh1FqFChwv1ePAGGmSoESKv2zjvvkAuq6H7vjqCJ4je/+Y31xP14kPOJEydWqVLln//8p7eyquP27duIqkGDBtYT+YOuxkqUKCFLCkJDQzt16nTixAmLN98Cow+DLjMz03qCYXwKuyJi2cQUTnbs2IFZ29/fPy4ubvjw4bVq1UKvbtOmja+s5hs3bowMywstUVFRzz333P1ePMEsm+bPn0+OTz31FLm4pUV0IsCCn5uy6fr160FBQVBOXsyqjodKNvXs2ROF6tWrF/XVRx55RLa+L4KBVr9+/c6dO1tPMIxPYVdELJuYQgim7McffxzdOCEhgVzu3LlTpUqVsmXLfv311+Ty3//93xs2bFi8ePGhQ4dkKCyRjx079tNPP+HUqlWrYMLp1D3jTsrOnTuXLFmyZs2a77//nhz//e9/I8jBgwfpEO44PHfu3I8//ogfp06dQrorV65MSUn5+eefYQU3b968bNkyGS3ihDesyJEZRLtx48a///3vcEceypUrh/xD/NEVMnjbv38/hbrnfuYlpEUqVqwYGBj4/PPP3zMuaxUvXrxatWpmLWKPX3LmzJnly5fv27dPigBdJdCh3/2yCcFRh8nJyeZ9UMxMmDABQU6cOOFiVkFGRsbSpUtRsbJxdRVrQcomZOazzz77/PPPzd7s0d7TdANCVzR7jZnP3suVTcgqHaKY6KhwkekqY3aQE3vzOWijX375Bb+PHz9+8eJF5DMrK+uesXsfYsAh+nBurP/BrZxA+5pLwTC+iF0RsWxiCiHffPMNWWvzYys3btyQj5Xs3r2bdAkRGxsLS0N2GktkeWsvJCQEUd0z7FB4eDhcYLbxPygoaOvWrXD/17/+hcMaNWpQtJ9++ikOR44ceeHCBfxo2bIl8kBRRUVFySslYWFh8EDR4rBp06Z0bQk89thj3333XZs2begQrFu37t794sPdzJshb4888kjbtm2RDdRPamoqXAYMGOCXq0WU8VPwuXPnyu8HRERE+BkiQFcJdOhnyvnMmTP9/f0pOPTQF198Qe5mGjVqBGF0z7WsAmSAIiT+/Oc/39NXrDmhe7myCTmpWbMmeatbt+7ly5cdRKvsBvf0RVPW2K/J52KRTXS9DS4kQZQxO8iJsvkctBFVAioqNDQUP+bNm7d+/Xr6DZD0pEmTKJS7OYHQh8vkyZPpkGF8EbsiYtnEFEI2bdrkZ6gW6wkDTPQw5AEBAQsWLMDUHxcXB89Dhw6Vd4VgJ6CxYJjx+80330QQLK/xe/To0fh9+PDhTp06zZkz554z2QQ++eQTrOnLly+P3926dcNSnqz++++/Tzkhb+PHj4e3IUOG4Hf//v3tV5v8csWHB5k3I7UIXdRBWcaOHYsfixcv9jO0iC7+e4Y5Dw4OLl269J49e1BAd2XT2bNnAwMDGzRogB+IAVE1a9YsN1+/kp2dDf9PP/30PReyCj9Xr15t3bp17969IYkOHDgAd6jGe/qKtSRHisHPaA6UbtiwYX5GiXTR6rqBrmi6Grs/F7/KplatWkEuww9Jltdee81BzLqc6JrPQRvJSnj11VcXLlyI6ipbtizynJaWduLEiXr16iG2S5cuuZsTkJOTg1MdO3akQ4bxReyKiGUTUwjZuHEj+nBkZKT1hMG6dev8jEdJ6JDMRlhYGNlp2DC6KLV69WocvvLKK/cMe4DfsB/t27efMmWKvJags0Ykm+rXr0/uCIVDusu2aNEiP8Oc38u17mXKlKGrYn//+9+xmq9cuTJ+V6lSxc/0bJNfrvjwIPNmpBaBIMOPd999F8YPqu7o0aN+hhbRxX8vt1Z/97vf0amVK1f6uSObPvroI/wePHjwXwzoEoXlS5mZmZnk554LWZWhoHLWrFkzYsQIuNeqVeuevmK//fbb13KBvZdXm+iJt7/97W84rFq1qi5aXTfQFU1XY3QoIdnUuHFjZJgyAN1Pp3Qx63Kiaz4HbUR+QkJCfvnlFxxu3brVzyQxUQl0GczdnBAlS5Z89NFHzS4M41v8xaaIWDYxhZCvvvoKfbhSpUrmB8Dnz58PMQEbkJiYKG0GgckdLvTqFkKRI9m8IUOG0CFCwQD45ULuFmu0fPlyiplkU+vWrck9KioKhydPnsTvZcuW4ffYsWPv5Vp3KAPyBkqVKlWsWDFkWyebPMu8RGoRek4Iphp6olevXn/961/9DC2ii//nn39eunSpX+51BZCWluankk2yEuhQ5vytt97CbxSwgonjx4+TN4Ju69CFFqdZhZ8ff/zxhRdewGG1atVefPFFeKhdu/Y9fcWSjSeQQ1IMjz32mPSGhIKCgnTR3tN0A13RdDUmkyPkTbq7d+/S/dm+ffuS/NXFfE+TE13zCSH8NG1ElSDFDeWZri+acTcnBPzQMoBhfBS7ImLZxBRCYHLq1KnjZ9wjI5eLFy9ixofLmTNndu7c6We6FkUPQtGLS/gBvULuZuWRnZ29b9++rKwsBP/4448pqr///e8UpFy5chRkxowZfibZBBNI7iSb6NlYu2wKDAy8efMmDr/77jscIuf4XbVqVT+VbPIg82akFsHvdu3a+RnMnTtXahFd/Pi9Z88eP+NZGTo1c+ZMP0ME6CqBDv1yc75gwQL8njBhArkfOXKESm2GkiNJ5DSr93JVwuuvv34vV8KSf13F/vDDD+tygcknxQCddOfOHXiT1wh10eq6ga5ouhqjQ4n52SZETtecZs2adU9fabqc6JrPQRtZXifcu3evn+nO2ocffvj73/8eit/dnJA31G2jRo3oN8P4InZFxLKJKZxs2bIlICDA39//mWeeeemll+hRod/+9rf3DHvcsGFDP8P0/vnPf65bt66f8Yq7A+WRkJDgZzwstWvXrtWrV5cuXbp69ep0KQsreD/jptvixYvpBSh3ZRP5hMmBtcPvd955B6fq1avnZ1gpqIR7JvHhQebNmLUIvejkZ2RMahFd/PD/888/kxgdOnQoFABZdxIBykqgFP1yc37r1q2SJUuGhYUtWrToT3/6E5rmsccek7qQgEaBoW3fvv09F7J6L1c2RUdHp6enDxo0CL/p2oaDijUjH+tp3bo1yoj29TPuBuqi1XUDXdEc1JgZyyPh9PBWSEjIt99+q4tZlxMHzadrI4tsQp7pLdQ//OEPqIqSBrcM3MrJPeMlDJzq16/fr+VkGB/ErohYNjGFltTUVKx0/QyCg4Pj4+N/+uknOnX58uXY2Fh6LQgTPRbf93LttFJ5wAxAwdD9DgDLlJGRQd7WrFlD7tWqVZs+fbqf+7IJZqZ///4Uc8+ePX/88Uecmjp1KrmQzfMzvY/mbubNmLUI7Jxf7pM9Zi2ijJ84fPgwWd/Q0FC6YkEiQFkJFMSc823btlFwP+Mha/uLfqBjx46lSpX65ZdfXMnqP/7xjw4dOvgZL3zBPLdt2xa/L1686KBizZBi6NKlSx/jCXpEMmDAAHjTReugG+iKpqsxMxbZBJ5++mm4QPHf08TsICe65tO1kUU23TOuUTVv3pxirlmzJsYRububE/p0PGSrjJlhfA67ImLZxBRysOTFqt1yVYO4e/fu+fPnpZZyChbily5dsm81DisLnaRMwjHmR3B++OEHZNV8FglduXLF7GLG3cy7iy5+FBOFtUsQFyvh3//+N5rD8iS4mSVLlqBO0tPTrSf0IDbLVkmOK1bJ999/jyKbXezRErpuoCuarsZcRxezLif3NM3nYhsRd+7c+e677yyfgnErJ5BlQUFBqH+zI8P4FnZFxLKJYR4Y9ieXmX/+859Vq1Y1P9TsAVyxDxwIrFq1av3hD3+wnmAYn8KuiFg2McwD48cff2zfvv0LL7xgPVG0+eSTT2rUqAH9ZD3hMlyxD5zNmzdXqlTJsn05w/gcdkXEsolhGIZhGEaBXRGxbGIYhmEYhlFgV0QsmxiGYRiGYRTYFRHLJoZhGIZhGAV2RcSyiWEYhmEYRoFdEbFsYhiGYRiGUWBXRCybGIZhGIZhFNgVEcsmhmEYhmEYBXZFxLKJYRiGYRhGgV0RsWxiGIZhGIZRYFdELJsYhmEYhmEU2BURyyaGYRiGYRgFdkXEsolhGIZhGEaBXRGxbGIYhmEYhlFgV0QsmxiGYRiGYRTYFRHLJoZhGIZhGAV2RcSyiWEYhvFVYKqmTZs2nWFyOXDggLWX5AG7ImLZxDAMw/gkKSkpycnJgmFMrF+/fu3atda+4il2RcSyiWEYhvFJ/vSnP1ltJsMIMWPGDGtf8RS7ImLZxDAMw/gkLJsYJf/1X/9l7SueYldELJsYhmEYn4RlE6OEZRPDMAzDWClg2ZSTk7MlbcvrY4a1i27fqEmjqlWr4n+76HZDRw/7PHUTzloDMA8Ilk0MwzAMY6UgZdOGzRvbPhXZsl2rP7z52uzkj5buWZFyYjP+4zdc4N7mqbbrNq23BmMeBCybGIZhGMZKwcimu3fvjhjzx6Ytmr798VRIJd0fzsLP66OGwb81CqZgYdnEMAzDMFYKQDZBA/Xs27NLXMxnGWvtUsnyBz/w+Vyf51g5PVhYNjniL7zXGcMwTD7w/vvvz5w5MycnxzrtPjQUgGwaOXYUlNC6rz63iyTlH3zC//DRI6wRMQUIyyYtvNcZwzBM/nH16lUvWiCvk9+yaVvqtmYtmiUddn6dyfwH/01bNNu8bbM1Oqag8GKntSsi35ZN+T1mGIZhijjvv/++deZ9aMhXE5CTk9Mh+ind80xrjq2f8emsKQvfW5i2FIfJmRvNZxGqfVR719+tu3DhwpEjRyBSrSfyjaysrC+//PLmzZvWE4UClk1a8nXMMAzDMEVWNu3evbt1+zZ2wYS/Vye9XqZsGb9cGjRrWCyw2PsrZpr9tGrfGjFYI7WRmpoaHh6OSIKDgwMCArp16/bNN99YPXmV/5SrdWukWKJECaTYt2/f7777zurJBTZt2rR161arqwt4HNB1WDZpydcxwzAMwxRZ2TT+zTdeefM1u2Z6afwfYCLLVyrf99Xf/H7cyx2eeQriAy4j3x9j9oawo8ePsUZ6P1u2bAkKCho7dmxWVhYOv/jii5iYmIoVK545c8bq1Uvs2LGjePHiI0eO/Pbbb3GYkZHRuHHjyMhIqz8XePzxxz/++GOrqwt4HNB1WDZpydcxw5j54W93129LeXXUa5HR7eQ+b+2jO4wY88ftO9NcvxbNMIxvUWRlU3Tn6NlrP7Jopk8PrQkqEVSxasWle1dKx9+O/B2M5ug/jzf7RNioTlHWSO/nscceGzhwoNnlhx9+gI7p169fdnb2pk2bbt26Re6nTp2CUZbeTpw4sWDBgtWrV8sLRbdv34b/q1evLlmyJD09/eDBg3/961+lf+gwuvTVtGnTAQMGSHdw9OjRChUqHD58mA6PHz++ePFixHzlyhVyuXPnDmJGxlJSUhISEo4dOwbH/fv316hRA/KLDoUqSzi1bds2+g127twJF3vA/IBlk5Z8HTOMJGnDZ607tNHu89a+VbuO7bds22INxjCM71NkZVOTJ5uYtRH9jZ31JuzjkLdeNTsu3//Zsy92t3jGYeMnG1sjNXHgwAFEJfWKZM6cOSEhIZAvOPv111+T43vvvdeyZUv6/dFHH8HDc889Fx0dXa1aNcQDx/Pnz8N/27ZtK1eu3KdPn4kTJ0J+yTihw4YMGXLy5En4MUsZC1OmTClZsiRi7tChA+KB0IHjt99+i1BIC5G3a9fO399/+fLlo0ePhs8mTZrMnDlTaLIE9RYUFLRs2TL8XrVqVXBwMAprCZhPsGzSkq9jhgG3f7g9JP4PT7q0z1uzMePG8G4lDFPIKLKyqVatWslf3vegN/4Gj30Z9nHqkun2adDyh7CIwRqpCegJSBD7Q9k7duxAEpAsStl05swZCJSNGzeS+6RJk5o1ayZyZVN8fLwwLlmdOnUqICCANNmNGzcQZO/evVu3boUf+KSwFjIyMpCfLVt+XQCPGjWqbt26mNJJNo0Z8+sNx9/97ncQVcJ0r02XJTB16tSKFSseOXKkQoUKH3zwATnyTboHSb6OGeb2ndvP9urmzj5vsX1/05eVE8MUJoqsbHqy6ZP2q02DRv0e9vG9T2bY50DLH8I2ebKJNVITy5cvR1Tff/+9xZ0E0/bt25WyacmSJSVLllyZC2oA3i5fvkyyCaFkPNHR0aSiEhISGjRoIIzHz+FH9+DUtGnTIGjkIbzBc2ZmJsmmPXv2kPvs2bPpOpZUP7os4dTf/vY3aCyIqri4OBkzy6YHSb6OGWZI/Cvu7vMW+1zXcePHWSNiGMZnKbKyqUuXLvZnm0a+Pwb28bW3h9knQMsfwnbq0skaqYn09HRERfezzMydOzc4OPirr74yy6Z3332XZNP06dPLlCnT/X5OnjxJsgmhZDxQM9WrV4dwiYqKmjp1KlzOnj0LP5s3WzeUSkxMRAwTJkxo27atdLx58yY8p6WlkWyST0rNmTOnUaNGwqR+dFki/2+//TaCI/+5EbNseqDk65gp4qzeuPbJFk092OctomWEecXDMIxPU2RlE2TE8Il/tExxy/Yn0SPhi3cvl46rjiQ/3ffZyYn3Pcnw2lvD3nrrLWuk99OgQYNevXrR740bN06ePPm7775r2rRpnz59zp07B0P85Zdf0tlRo0aRbFq5cmVYWNgPP/xA7vC/adOm27dv22XTrVu34DMpKSkoKAiCiRxbtGjRt29f6QccPnwYAVNSUiCeqlWrBplldj9x4oRONtWvX5/Ujy5LwrjxBwk4ZswY/Mdv8iAD5h8sm7Tk65gpyuTk5LR5qq3ueSbH+7xN/nhqdKdop+/W3b17Vw4zM3CU4zb/oNRB/t1S9NHd5JSN4jpXrlw5evToxYsXrSc8Io+ZYbxCkZVNu3fvbt+xvX0C/MOE12Aig0sGd+4Z03/4wOd/37tq7WpwGfDHQWZvkU+1c7pvU1paWokSJV5//XWIJKiK5s2bh4SEVKxY8fTp03fu3AkNDaWrRBBD1atXJ9l07dq1ypUrQ0VhjsUAGThwYL169TBn2mUTePnll2vWrBkTEyNdUlNTAwMDR4wYgRSRxLZt2+rUqRMVFYXYMGWVK1funXfeEcalpq5du1KKOtnUuHFjKEv41GUJygl+kAdhPBHVpEkT0lIyoMyV12HZpCVfx0xRZvP2LS3bt7LPFymu7fPWzoX5omTJkgi+b98+syOWO3DEADM7uoK7+6eVL19eFgHTVnh4+IoVK6yebLiYird2kyswZLmQTz/T/OgWmLUxOwcYIBIYgEOHDlk9uUNeMsN4kSIrmyACOnfu/F7i+/ZpcPSfxlV/pIacQ0qHhfYb2n/9V5ukhykfv9epcyenq0ewZ8+etm3bIhIMHAiaZ599tkqVKq+++irECr1SBylTo0YNebUJ7Nq16/HHHy9btixOPfHEE0eOHBG5j4RbZNPevXvhSO+ySTZs2IBQcPf390eKmG+he+gURNWjjz5aoUIFpNuhQweoN6GXTZA+cH/mmWeEJkvx8fG1atW6fv26MNQe7TtgCZhPsGzSkq9jpijz+phhednnbdjEERgY1kjvB7KpVKlSmAvMjrGxsUFBQR7IJndvlkM2IYeYCI4dO4YBj+GNGWTp0qVWf/fjSipe3E2uwJDlwlpw7ty5nn3hAW2HYmZmZsJUnDlzJi4uDutjueuMB+QlM4wXKbKyCWzfvr1l61a6d2ISti95f+XMjzYusDwAmnR4bYtWLdx6VgH9/Pjx43QB5tKlS8OHDyfJcufOHbgrL7teuHDh7NmzjpXZgQMHIGWUwzArKwsx0+UfC4gWkVtdVUAMmWNwJUuEJaDXYdmkJb/HTJGlfXR7+7OQbu3zZr4srASy6YUXXnjkkUekC4ZxaGgolndSNh0+fHjBggXz58+XN8VBdnZ2cnJyQkICFlI0Pu37p9k3XrPsBQfZhDWTjBO89tpr1apVM9+zs6RuT0WZPW/tJkfYC6vcBI9iwH94Rn7oTRkUE7/l9Tzyg3k5KSkpMTHx3Llz5G4uF/JAfuiUW1mFCDbrTqjGevXqHTx4kA4dtwgwr5K//vprFMqeGaS4cuVKWrwS9mgZr1OUZRN4880343o/59abMd179UAoa0QFC7QXZoMOHTrQBZ6iBssmLQUwZoomjZo8YX/z1q193qAerJHeD2QTvbb6l9ytb+fOnfv8888/99xzJJsGDRpUpUqV/v37x8bGBgQE0OWQGzduNGrUKDIyEtKkevXqTz/9NBxd2XjNshecXTYdOXLEz3TT0J66JRW7Bzh6cTc5oSksvRVseS2ZYujWrVtUVFRERESZMmXGjh2LsNCgyBvqWabSokULxIMMIBv0Qo25XOb7Ym5lFcAlPDw8LS3N/mia0xapX79++/btpX/kcMSIEebMYKQHBwfHxcUhM6h2SChdtIzXKeKyCUspDPPn+zy/KmOdZUq0/32WkRzXOw7+8++hSRfBGMFIwfLVvMwoOrBs0lIAY6ZoUrNWzbzu81bb0T5vwpBNn332We/eveViqGPHjklJSSSbTpw4AWtK1hEMGzaMzOratWvhTo7QKF27dqULIU43XrPsBWeXTfS27aeffiqMaxjK1GUqOg/e3U1OWVgHsolujEK1QGO1atWKJu7BgwdDTolcxTN8+HAKCM916tSh37JcUqm4m1VhXCLCb5yFaIPumT17Nl0ocqVFoFkh7+iuxMWLFwMDA5EBmRnEABfUBsXQo0ePoUOH6qJlvE4Rl03CUE5vvvlmq9atZi6ZbZ/u5N+fFs+EH/h84JqJYdmkpWDGTBHkCdXVJrf2eXPlahNkE3RS7dq1hXFTvFy5ctnZ2fJqE8A6Cf1w0aJFUFQRERFwyczMhLHE4QcffGD+TrjTjdcse8E5lk2EPXXLs012D97dTU5ZWAeySV4qa9OmjbxHMGXKFHqyivwgTnKnC2PQf0Ilm9zNqgRSEhXbs2dPtAJigH8XWwQ6j14amjFjBlWmzMzChQsrVaokkyCbpItWemO8BcsmAn21U6dOHaM6jp/y5sKNS5L2rcFc9+n+NYkbFo+b/MZTUR1x1q3nmZj8g2WTloIcM0WKpzp1tD/b5Po+bwtSEl15tgmyCTopNDR07969s2bNok9akmyCaRw8eHCJEiUaNGjQt2/f7t27h4eHU8DDhw8PGjSoWrX/vPHbo0ePGzduCBc2XrO8ZmKXTQcPHoQHehZHl7pMRefBu7vJCVVhLbKJNsGzxIBU6C1igB+UKPmRT1iTKElPTxcq2eRuVi9dumQpNaqiatWqkyZNcrFF5s6dSwqsWbNmUGPClBn0jfr165sjF/qGtnhj8g7LJklOTs7u3bsxOmJjY9FR0cPxH7/hAndXHoVmCgaWTVoKeMwUHca8Mdb+Jp3r+7yNn/KGK2/SQTbhx4svvhgfHx8ZGUk3XEg2LV68uHTp0nQtBIwfP550yenTp+WlDsxTYWFh8+bNEy5svOZUNg0ZMqRWrVr0XI4udZmKzoPw6m5yysIqN8FzXTbJJ9P37dsXEBCQlZUlTOWSSsXdrG7bts3f3998/U8Y33YYPny4iy1y7dq1kJAQdAmIUbrxKjOzZs0a1LaMAf0EhlwXLR0yXoRlE+NzsGzSwmMmn/jPzkMd2lhkU4pr+7xtOLGlY1RHV/ZtItmUnJxcxYBuvpBsmj17doUKFejSCCwrTPgTTzyB3ytWrIDiIb1y9uzZcuXKrVq1Sriw8ZpdNo0bNy49Pf3gwYNbt2596aWXAgMDV69eTWd1qctUdB6EV3eTUxZWuQme67IpLi4O2uLWrVtYInfv3p38yHJJpeJuVlHDTZo0QTybN2++ceMG9BPGZvHixdENXGwRYQhoLN979+5NhzIziBDukydPFsaN0ebNm6PtdNHK2BhvwbKJ8TlYNmnhMZNPwBR1jI5S7hLudJ+3D5Z+2LlzZ6fXq6Vsgg4oW7bsK6+8Qu4km2AUW7VqFRYWBqsMYwyVEBISAvOJaIcMGRIcHFy7dm3EgFBkKZ1uvGaXTZR/f3//ihUrRkdHf/7553RKGFc+lKnLVHQeKLi3dpPTFda+CZ7rsgmiBNkuXbo0Updbs8hymV9ecyurwhB20GSQSlSxNWvWlDuIutIiIveB+pSUFDo0Z2bnzp3IDFqqVKlSvXr1ys7O1kXLeB2WTYzPwbJJC4+Z/GP79u0RLSN036TT7fOWfHRj69atvfVc5JkzZy5dumR1Nd7Mz8zMlFqE8HjjNR3K1M2pKD1IvLKbnNAU1sEmeDqk4kGe7Q+t63afcyurwrg0hYyRxrLglRaRO0hJ8h4t4xiWTYzPwbJJC4+ZfOWNN954+vlnXN/nbcPxzb1f6P3A93ljlFguFDGMizzksmnZsmXTGcbE8uXLWTZpYdmUr9y9e/fF/i8+27Ob7tsC5r91Rz/v80Kfh2GfN0bJ1atXW7ZsaXlqm2Gc8pDLJmt2GYavNjmAx0x+Q/u8tWjV8l3V9yzpb+PJrXOXzW/dpjXv88YwhQ+WTYzPwbJJC4+ZgoH2eevQ8anRb49J2LBoxV8+g1RK2r92yaZlb70zISo6ivd5Y5jCCssmxudg2aSFx0yBwfu8MUzRhGUT43OwbNLCY4ZhGCZfYdnE+Bwsm7TwmGEYhslXWDYxPgfLJi08ZhiGYfIVlk2Mz8GySQuPGYZhmHylaMqm8+fPZ2Rk2LdXFcaHq7/88svs7Oy7d+/+YFAwbxAjlXx6itS8cW4BFyqfYNmk5U+81xnDMEy+sXz58qImm3bv3h0REQEjGBQUhP+dOnUybxL7ySefBAQEhISEbNy4UX6jCZQoUSI8PFx+UMgBmzZt2rp1q9XVBZDEokWLrK555syZM8j/119/TYceFMrjEuUfLJu05MeYYRiGYSRFSjZBM0ErDBw4kGTEyZMne/bsWbp06S+++II8dOjQYejQofQbCmPChAkQVceOHdu1a1d8fLy/v//SpUtlbEoef/zxjz/+2OrqAgUmm9wtlMclyj9YNmnx+phhGIZhzBQC2XT48OEFCxbMnz8/IyNDOmZnZycnJyckJOzdu1fe/GratGm/fv2kH2HsvdK+ffsuXbrg944dOxo0aDBkyJCdO3cKQ2HMmTPH7Pm1116rVq2avL1lT3f//v01atQYOXIkRAm5nDhxAn5Wr1793XffkcvBgwcRkH6bcSCbjh8/vnjxYkRiuasIdxRw5cqV169fl46WXNllk1uFcqVEBQ/LJi0ujhmGYRjGM3xdNg0aNKhKlSr9+/ePjY0NCAig6yI3btxo1KhRZGTkgAEDqlev/vTTTwtDZMD22XfuhexAwMuXLyOqsLCwhg0bDh48WKgUxpEjRxDDvn37hCbd0aNHlyxZskmTJjNnzsThRx99FBIS8txzz0VHR0OaHDhwAI5RUVFwMUdL6GTTlClTECeCdOjQoXLlyiTpAConODg4Li4O7sgJSidUuXIqmxwXypUSFTwsm7S4MmYYhmEYj/Fp2XTixAkoCVIMYNiwYe3bt8ePtWvXwp0cT5482bVr1ytXrqxfvx6279KlSzI48de//hXue/fuxe+WLVvOmDGD3O0K4+bNm/D56aef6tIVplta0Cv0jBS5T5o0qVmzZvhx9uzZ8+fPk6MZpWzKyMjw9/ffsmULHY4aNapu3bp3795F5IGBgSgmuffo0WPo0KHKXDmVTU4L5bREBQ/LJi1OxwzDMAyTF3xONn311Vfbcrl27Rpcrl+/DosGzdGxY8eIiAi4ZGZmwsDj8IMPPpDft05JSYHtO3funCmy/3Do0CGyicJl2USH9nSFSWQsWbKkZMmSK3NBWRD28uXLuZFZUcqmadOmIUJ5SBoIpVu4cGGlSpWku/m1OEuuXJdNdGgvlMclyj9YNmlRjhmGYRjGW/icbBoxYkSxXHbt2jV48GAIjgYNGvTt27d79+7h4eHk7fDhw4MGDapWrRrsXY8ePW7cuHHy5En8llduJMuWLaObdMKZbDp48CBiwH/IFF26UmRMnz69TJky3e8HeTBHaEYpmyZMmNC2bVt5SBInLS1t1qxZ9evXN3n8D8pcOZVNTgvlcYnyD5ZNWpRjhmEYhvEWPiebzCxevLh06dInTpygw/Hjx5OlP3369J49e8hx9+7dYWFh8+bNw+82bdrQ09+SnJyciIiI2NhYOnQsm4YMGVKrVq2//e1vunQB1AyJjJUrVyJduWfSd999t2nTptu3b9OhHaVsSkxMhPJDinQILQjzjXTXrFmDDMjIN27ciHZU5sqpbHJaKI9LlH+wbNLidMwUEWiDMqursYmZHE7e5cqVK0ePHr148aL1hAZl9jym4MurIysr68svv8QKz3qCYQoLPi2bZs+eXaFChatXrwrj5h0UxhNPPIHfK1asgD4gBXD27Nly5cqtWrVKGLIDyuB3v/vdqVOnhPGQeK9evUJDQzHMKUKLbBo3blx6evrBgwe3bt360ksvBQYGrl692kG6oHHjxhMmTMCkce3atcqVK48aNQrKDHPXwIED69Wrhxls7dq1n3/+OXk2A9k0efLkdBPXr1/HFITMv/POO8K41NS1a1fkUBjPvFetWhX+hXFbrXnz5siqMld22eRuoZyW6NcCFCAsm7Q4HTNFhJIlS/rlvukgwSoEjhj/Zse8c/78+ZiYmAADxI/ReOjQITql2/QMaw74NG8Zl0e8Xl5dzh2AFWrr1q39jB3hUBV9+/Z9gG/bMkz+4dOyCYa8VatWYWFhjRo1gnWfOnVqSEgIJAXs+pAhQ4KDg2vXro355JVXXpHWPSMjIzo6GkObZrkuXbrITZuETTb5Gfj7+1esWBGhpNzRpSuM22oI8swzz+D3rl27Hn/88bJly0L6QIIcOXJEOHyTjpKTpKSkwD01NfXRRx+FoEESHTp0OH36NPnfuXMn3JGxUqVKQfxlZ2crcwVF6Kfa7tL1QjktUcHDskmL0zFTRMCwx8CAxjc7xsbGBgUFeSYj7GDI0ZOSiDYyMjIzMxPzDpYpcXFx1atXv3XrltBvenb79u25c+fSGsUreL28upzr2LFjR/HixUeOHPntt98KY57FJIJqsfp7WIHC82JzMIUbn5ZNBGYq+/txwrgkg6mMHhu3n/rqq69I6HiMLl2kaL51deHChbNnz+bxwymIAfFYXY08WDZz0uXKRZTB86NEeYFlkxYXx4xyyy/7/mB37tzZtGnTDz/8AAkP/3LzLqHaGA0u8ExyAZw6deovxnsWFAn+w//8+fPRw+CYnp6O3+arI/YNwdDnEBDGbMmSJfAvVIkKzU5okBEvvPDCI488Il2ysrJCQ0M7d+5slhH2vdcotzdv3kxKSkpMTLS/QiKMoo0ZMwbLDkgfHEKvmHeMhW6oV68ecmXe9MxSFlQppeKghsGBAwfmzZu3ffv2y5cvY8liPmXB4/IKVa063a7N3jRNmzYdMGCAjBMcPXoUqz3ZNPnRu1zsWsKWf2Erwu7du1GHL730kr0vMYyFQiCbmKIGyyYtroyZP6m2/FLuDwYFgIJHR0e3bdu2Xbt2/v7+y5cvF5qN0Sz3g9977z26o0yRdOvWLSoqKiIiokyZMmPHjkVwWPSAgAAYLaHZEOz8+fMIiKSRnz59+igTFZrrtygLvflJ0g1A4jz//PPwKWWEfZsykZvbFi1aIH54RgybN2+W0W7ZsgX1htrDKbiTRUcOw8PD09LSLHeszZueWcoib9LpalgY241A9/Tu3bthw4YQJeZXau14XF5lrTrdrs1SHHrdZtu2bb/mxkY+9S5XupZQ5V/Yepcw9PfgwYORz/bt269YsUL5rBjDCJZNjA/CskmL0zFzRrXll25/MDJLY8aMIXcYYJg9odkYTWnYRK51nDBhAn5DWMAQtmrVivbMgJWCzTuj2RCMDFt8fLwwHm1WJio0O6HB+H322WfQHCNHjiSXjh07JiUlSRlxQrNNGeV2+PDh5I5s16lTh/w3aNCgRo0aEydOtFyCQpFRLQgFsw0bP3v2bPlAtLzVZSmLRTbZa/jw4cPFihUjA3/79m3UmFPZ5Fl5dbXqeLs2S3G2bt2KQ3srEPnXu5x2LaHJv7C1CJ0FV69ehViEVEVsDoQgU5Rh2cT4HCybtCjHjHmvM6y87Vt+6fYHI7Mk30qFIGjcuLHQbIymNGwiV4jImyZt2rR588036feUKVMiIyN1G4KRYZP7+isT1UEyArqhdu3awrivXK5cuezsbPPVF6Hapoxyi7TIA11HgeaAxEG9NW3adN68ecrXxKBI5syZ07NnTySNyvzWeMTHIptkWSyyyV7D77777pNPPvlr1Mb1Eldkkwfl1dWq4+3ajh07Zi5OamoqDukemZ38611Ou5bQ5N/euyQYEahGpF6qVKl169ZZzjKMYNnE+CAsm7Qox4x5r7M//vGP9i2/dPuDkVmSL3xBFjRq1Ih+2zdGsxg2GH6zbJKRICF6NRTgBw51G4KRYYPmI89Clag8ZYFkBHRDaGjo3r17Z82aNXDgQLhLGaHbpoxyK58OJn1Dj+/cvn174cKFzZs3L1u27PDhw0laXbp0yXwXTxhXv6pWrTpp0iRhk02yLBbZZK/hN954Q355QBjvBrsimzwor9DUqsy5snWQhLk4KDIOLfUgjFf50I7517ucdi2hyb+yd0FrotWqV69et27dGTNm8BPijA6WTYzPwbJJi9Mxo9zyS7c/mM6wKTdGO3fuHDzLzTxGjRrlomxaqdkQzGLYlInSoR2SEfjx4osvxsfHR0ZG0m0aKSN025RRbuVzwfv27QsICMjKyqJDAtno168fJMgnn3yybds2f39/y9Wv6Ohous0nNz1zVzZBn0F7ye3/J06c6IpsEu6XV1erjrdrO3XqlEVztGjRAmpMHorcXpSSkpJ/vctp1xKa/Nt7F5QxGjQmJmbdunUP8G0XxicoBLIJ6z2MJiy05NAomIf5Cn6HuQe1o96DSlcHyyYtTseMcssv3f5gOsOm3Bjtzp07oaGhU6dOFcZtQazalZHYbZtuQzCLYVMmKoxHYew7oUkZkZycXMWAJIiUEbptyii3cXFxsKy3bt2KjY3t3r37fVHncuHCBcw7yGeTJk0aN268efNm1C30E5qgePHisPfCtOmZu7IJQVAnI0eOvHz58tatW1Fwkk2rV6+2f+hA5KG8ulp1vF0biRizbEpNTQ0MDBwxYgROoSdATdapUycqKgqh8q93Oe1awngN2J5/e+/CobwzyzCO8XXZhPUeVoMhISFJSUk0gsxXcze5v2eb65T09g5zDjj/gHbUc5Cu0CTtlXQdw7JJiytjxr7ll9DsD6YzbDmajdHgAcFh52rUqOH61Sah2RDMYth0ierepCMZAXOLaOGZ3KWM0G1TRrnt3bs3TpUuXRpVodz5wwxMO2QWpJKfQc2aNWH46ZTc9Mxd2QTQ38LDw1Fe5BP5hziDI/LTr18/8mDG4/LqatXxdm32O1xgw4YNOOtnbAoHCYV05e4v+dS7XOlaQpV/YetdDOM6vi6bMAaHDh0qTBvImWWTvEGfH5T09g5zdh74jnoO0hWapD1O9zuXN5xj2aTFlTFDnLFt+SX0+4MpUW6MBrN9/Phxz643urIhmDJRjzlj26ZMWmK4655xVnLz5k0UXG5HK7FseuYiMOrmFcnEiRM7d+4sjAstr7766v/35yb28hLKWvVsu7asrCzUg7LID3/vYhhX8GnZtGPHjgYNGmBlgvXzD7kbyEnZ5HTPNmHb80yoNloTRXhHPV26wrQl3qFDh7ySrusbzrFs0uJ0zDCOsVzAeFB88803xYsXX7RoEaazLVu2VKlS5cMPP4R7fHy80+HBMEy+4tOyadCgQWFhYQ0bNhw8eLC87C1lk9M924RtzzPlRmtCfx/Asx3maGb2iR31dOkKU9Jvv/22t9J1ccM5lk1anI4ZxjGQ/y1btnS6wUEBgEVVRERE+fLlMUgwTfNlEoZ5SPBp2SRMX5GzyybhbM82YdvzTLnRmijCO+o5SFfkJu31dJ1uOMeySYsrY4ZhGIbxGJ+TTV+Ztu67du2ai7LJxT3PlBut6SDZ5MEOc6QnfGhHPWW64n7Z5MV0nW44x7JJi3LMMAzDMN7C52STees+mGQXZZPre57ZN1qTpyyQbPJghznSEw//jnqO0xX3yyavpOvihnMsm7QoxwzDMAzjLXxONllwLJsc79lm3/NMudEaHdoh2STc32GO9MTDv6Oe43RFbtLeStf1DedYNmnBmFm2bNl0hmEYJh9Yvnx54ZZNjvdss+95ptxoTRTVHfUcpyuTppuMeU/3vMsbzrFs0uLKmGEYhmE8pnDLJsd7tgnbFRrdRmu6N+k822GO9IRP7KjnIF2Rm3SnTp28kq7rsGzS4sqYYRiGYTzG12WTUzzYs0250ZrH2HeYk3rCV3bU06UrPEpal67rsGzS4pUxwzAMw+go9LLpIcRyGeZB8aB21NOl6zosm7QU1jHDMAzzkMCyqeDhHfXymC7LJi2FdcwwDMM8JLBsYnwOlk1aeMwwDMPkKyybGJ+DZZMWHjMMwzD5Cssmxudg2aSlIMeM7pOBeSEzMzOP0eYxuOTKlStHjx69ePGi9YQGb6VbWLl7966yiuBo/+BlvpKVlfXll18qv8Pw0IJaQp6trswDgmUT43OwbNJSYGNG7jNhPZHLpk2bzC9MukJ6ejp9ttADKDlLrjzIgzBe9YyJiQkwQGzNmzc/dOiQPKuM02ltMCVLlkQV7du3z+yYmJgIR/O3qFxE2QpO2b17d+vWrZFiiRIl0Lh9+/ZFw1k9PaxgaNCHPJkHDssmD1CumpgCg2WTFsdj5uuvv6b9yvLO7du3586dq/v8jTB99MdFcnJymjVrlpaWZj3hGpScJVfu5oGIjY2NjIzMzMxEls6cORMXF1e9evVbt27RWWWcTmuDgWwqVarUqFGjzI6o6qCgIA9kk7IVHLNjx47ixYuPHDmSvqmZkZHRuHFjNLTV38PKzp07MUDcfX2GyQ9YNrmLKwtLz9ZCjIuwbNLieMy89dZb5m1bYezRU2HslyxZQt9EPHHixIIFC1avXm1ZhWOZO2/evO3bt1++fHnXrl3CWDogLN3pyM7OTk5OTkhI2Lt3L03r+/fvr1GjBkzUsWPHKAZ7zJbU161bV79+/V/T0wS5c+cOgiDplJQUJCcjl8nBFspcScdPP/3UPFyhhGif+4MHDyp32oB1X7p0qTyEla1Xrx48C1Ochw4dMmde1oYuh4S9Gh1z/PhxRLJy5crr16+bHRcvXoxquXLlitDXiVC1C1zgWUrAU6dOoVfLSPAf/ufPn0+7yaFc+G25PmRpFHsX0tUqZNMLL7zwyCOPSJesrKzQ0NDOnTubZRPCIn6ki6YkF3spPOhdcGnatOmAAQPoLHH06NEKFSrI3FoqVujr1p4lr1esUBWhQYMG69evN4diHggsm9zFlYWlB2shxnVYNmlxPGYsson2lW/btm3lypX79Onz0UcfhYSEwEN0dHS1atXkHYFRo0bBvPXu3bthw4awPfQpHLl6uHHjRqNGjbBqh02qXr36008/jbOjR4+GmWzSpMnMmTNxqIzZknqPHj3Gjx8v86YMQjuewQWh2rVr5+/vv3z5cnNyU6dOlWsa6di1a9fGjRvLmPv16zdkyBCh2fsfIPLw8PC0tDT7MzcyzrffftucecvW+PYcCk01OgBNGRwcHBcX16FDhypVqsCow3HKlCnIALINRyS9c+dOXYrKdjF/QgG89957LVu2FLkV261bN9RJREREmTJlxo4di+DQNAEBATDb5N/eKJZGFPpaRbYRD/6TngCYRp9//nn5UQUwaNAglLR///6xsbFIF3OoshQe9C76AtS2bdt+zY0Ne8UKTX9TZsnrFStsRRDGZ03RHygI8wDxadlEUh5rvKSkpMTExHPnzpnP2tcthG7JZ5f7yoWT04WlfS3EeBeWTVqUYwZz+jgDTP3169en3+imNC/Hx8cLYxNSTNz0MWowadKkZs2aCWMUFStWjOZxrBhatWplkU1r167FtE6hYJygUWixLpcOSF0Zszl1xAyLgoFEfnRByAiNGTOG3GFu5bNQlJzlUjA5YukPE0UjGTYPMe/du1cYXw5CHsinGRg/RIt4kCUYxdmzZ5sfH6Y4zZnHFGCRTfYc6qpRB2ogMDAQdUuH0JRDhw7FRAbLTR+MFIYOq1u37oULF5QpKtvFsXWfMGGCMD5FCTWAHNInNgcPHgyrLzSNYqkHoa9V+hYVVCNmRnLp2LEjJm4pmzD/IsOkDsGwYcPat2+vLIVws3chY1u3bsWhMmPCuGFnr1gUX9mayix5vWKFrQj4v27durCwMLuaZwoYn5ZN1CdbtGiByQ2jDwNz8+bNdMq+biF33ZJPKfeVCyenC0vLWojxOiybtCjHDEzRAAN0ylq1atHv1NRUmpexgIAfuhKwMhfEg1NYWLz77rtPPvmkjArjxCKbMjMzMXJgAj/44APzFq7SsOliNqd+8eJFio3C6oLQkNuzZw95g6CRl5EcyCb8wCgl84P1TYMGDeisY1Bpc+bM6dmzJ3KCeOiBGHG/bKLMC9ukYM+hrhp1LFy4sFKlSvKQDO20adPMochUQwIqU1S2i2PrLm8btWnT5s0336TfU6ZMoQeAlI2CpaG5HhxAsgk6qXbt2sL4ylW5cuWys7PNV5vA9evXMdAWLVqEnEdERChLIdzsXQC9HYd0j8yOsmKRtLI1lVnyesXaiwCotmVXZB4UhUA2DR8+nA6h6evUqSM06xahX/Lp5L5y4eR0YSn4Jl0+w7JJi+Mxo7xJRx9hnj59epkyZbrfDxbTb7zxBg0eYsWKFRbZJIxxhWUKVhtw6dGjx40bN4RpDOhiNqeOEWu2OrogNOSkKjJ/HdqxbIJlwkIfy3SshKZOnUpnlVy6dEmuvQjMAlWrVsWkQIdm2eT696t11ahj1qxZlie9hDHBYYkmD2/evIm0kpOTlSkKVbtYrDvEnNm6y0iQyjvvvEO/8YMSVTYKiTZZDw4g2QSdhGUrQqGAAwcOFKYvn0MaDh48uESJEtC1ffv2ReTh4eFCVQrhZu8SRiPi0NKywniVD56VFZuWlqZrTXuWvF6x9iII4+IWXPBfujAPBJ+TTehF23KhXgT1T6foEDMwHVrWLUK/5NPJfenTjNOFpWDZlM+wbNKiHDMSB7IJ/T4sLEy+I4pevmnTJqwtFi5cCNFAVzuE8eFli2w6ffq0HAO7d+9GJPPmzcNvWH0aA7qYzanD8OA3PXbtIIjOjInc5CyySebh1q1biDApKSkoKAgWlM4qwbTi7+9v+fJRdHS0XJxRnO7KJl016lizZk3p0qVlDWBJh5kaNh6mWt6jgfFGWvv371emqGyXc+fOwbPcAWjUqFGuW3dlo5w6dcpcDw4g2YQfL774Ynx8fGRkJK1TpWxavHgxiiyn7/Hjx0M2KUsh3OxdRIsWLaDG5KHIrcCUlBRlxSInytZUZsnrFassArX1999/L12YB4LPyaYRI0YUy2XDhg3oRfLpbJq70tPTdesW3ZJPJ/elTzNOZ0jBsimfYdmkRTlmJBgb5qdizfPytWvXKleujOk+JycHM/jAgQPr1asHQ4KVN9xHjhyJZcTWrVvLly9vkU0YRXAkawdFUq5cuVWrVuE31hBYxCO4LmaLVahRo8Ynn3xCv3VBHAw5So6sl/Qg84DfL7/8cs2aNWNiYuiUMJ7++fzzz+UhgVSaNGmCgJs3b4aYg35ClRYvXpxevhO5cdISzXXZpKtGsHr1avlUjQRJQ2ZNnjxZGOu/5s2bjxs3LisrC9VLdhcRdu3aFbZZl6KyXe7cuRMaGkrX25D56tWru27dlY1CFW427cpaFSbZlJycXMWARKSUTVh3VqhQgWZzRAgd88QTTyhLIdzvXcK4TxcYGAj7gTyjHjAQ6tSpExUVhYDKihW2aqG6VWbJ6xWrLMLSpUvpFifzYPE52WSG+qR8anvfvn0BAQEYAsp1i9Av+XRynw4tOJ0hhWktxOQHLJu0OB0zZizz8q5duzAeypYtC0sAiyV3eELBMX6Cg4NbtWr1yiuvQFUI0zDAXD9kyBCcxYQO0wgPtGqHVYOHZ555RhezJfUhBvRbF8TBkKPkunTpYvZgzgPdTlq2bBmdEppHF4VhC+Pi4iCV/AwgtmAp5VmKs1OnTubMuzIpKKtRGNsY9uvXj36b2blz56OPPlqxYsVSpUr16tUrOztbGLYfjpAXISEhCHj69Gldirp2gQeERa1Cp7p1UUSoGsVu2nW1KmUTFAZiQH7IXcomqAfUDCZi5B+qCBIE+YRkVJbC3d5FYJ0ND3D39/eHhEK6SJRO2StW2KqF6rZgKlaoigDpP3ToUHnIPCgKgWzCFAeJc+vWrdjY2O7duwvNukXol3w6ua9cOLkyQ5pXuYzXYdmkxemYccqFCxegGzAS6BBzt3kLMiw1OnfuLA8lN27cyMzMlEaIwKF58WGJ2cKhQ4cqVapkWaw4DmLBkpzF8cCBAzBLcmcdp2D0Hj9+nMynBWVCjnFQjZihXn31VXnKwpkzZ+Q2QhLUCWrG4qhE2S4QLiiaXCa6i1uN4i4o76VLlyyOylK41bvMYGGN4itb8GGuWGQYGtryWjjzQCgEsql3795YopQuXRqLBOrzynULPUqoW/Ip5b5y4eSKbDKvhRivw7JJi9Mx4y7ffPNN8eLFFy1aBHu2ZcuWKlWqfPjhh1ZPXgKDLTEx0eqaZ2CGk5OTMTvIV98LHgfVGB8fb9/mhGEsJCQk9OzZ0+rKPAgKgWyCcMHEaH+31L5ucbDkIxzLfbfwYEXKuAjLJi1Ox4wHJCUlRURElC9fvmHDhpgvvDI8lJw7d65NmzZYsltP5I3jx49DpsTExJj32i54CqwamcIHBgUW+padCZkHReGQTdYTGhws+RgfgmWTFqdjhmEYhskLPi2brl692rJlS8vLwo7hJV8hgGWTFqdjhmEYhskLPi2bmKIJyyYtPGYYhmHyFZZNjM/BskkLjxmGYZh8hWUT43OwbNJSwGMmMzPT49etiTwGl1y5cuXo0aMXL160ntDgrXTzSE5OjtxHzjPcKvhDUmqnXLhw4ciRI3Ij4wIgKyvryy+/fLB7xqB15D7jDkCHUbYjHPPpK79u9THh1W52/vz5jIwM+x4cuiR07t6lUMom71add2Nj8g7LJi0ejxlX2LRpk/lN1PT0dPkVRreQ8Zi/hWKJ3HUwscbExAQYILbmzZsfOnSITunitHyD5QEiv/nqAe4WvMBKrUzdRVJTU8PDw5HP4OBglKtbt25uPbvqAbt3727dujVSLFGiBFLs27cvKsrqyQU8LrU5IAYUfTPVASVLlvQzfR6YSExMhKP5o8hewd0+JrzXzdAuERERiCooKMjP2GBWxknvgln2MnXg7hRdWXQUPtnkrVYjXInN3Tpn8gjLJi2Ox8zXX38t9/72APM3g3Jycpo1a5aWlna/F5eQ8dy+fXvu3Ll0UcHjDxLFxsZGRkZmZmYiS2fOnImLi6tevTpta6mL05zugyUvssndghdYqZWpu8KWLVtgI8eOHZuVlYXDL774Aja7YsWK9t1lvMWOHTuKFy8+cuRIWFwcZmRkNG7cGLVq9ecCHpfaHHDnzp0YVo7fVIJsKlWq1KhRo8yO6AyoOm/JpuzsbNrswN0+JrzUzaCZoGIHDhxIX0c+efJkz549S5cujS4h9PIIGZszZ45lD1JXkGWBvXcl54VPNnml1SSuxKbrP0w+wbJJi+MxY/mUL4HV7bx587Zv33758uVdu3aR44kTJxYsWLB69Wq58t6/f3+NGjVgYI4dO4bDdevW1a9fX0aiDHLnzh0sKX744YeUlJSEhAQKaI4Hp+Dh5s2bZseDBw+alymYrOl7cHBXbgsJE7J06VJ5iCm1Xr168GyOE8MYCWEYL1myJD09XaarzKFEWTM6jh8/jhhWrlxp3h0KjosXL0adWO4yIG+IGT3KIpvsdSi8V3C4U6mFpmkIt0otbAU3pw7M30CEJqCEdCV67LHHYCnNLsghdEy/fv1gyJFhucn7qVOnUHvSm73eLC2u61RNmzYdMGCAdAdHjx6tUKGCzJ69BZVVZxkdQpUlZW3YAzZo0GD9+vX0W1lRkE0vvPDCI488Il2gMkNDQzt37myWTQiIDMyfP19uLE45RwdISkpKTExU7gKFih0zZgykKsyecL+PeWtwoV0sXxyCbmvfvn2XLl1ErmyChELMML3y49yygHRobwLCQY9Fr0D1vvTSS/ZqN+PrsgmjKTk5GZWwd+9e0uiy1dABNt0PKVehqU9lF3XaB+zdnslvWDZpcTxm7LIJa1ZMuL17927YsCGmKvrY0EcffRQSEgKf0dHR1apVo7sGo0ePxoTSpEmTmTNn4rBHjx7jx4+X8SiD0OwGl7Zt27Zr187f33/58uXmeOS1XLPjxIkTYSllzJg96Vt1yj37hfGdr/Dw8LS0NMuDHeY46fNe8Fm5cuU+ffrIdJU5pODKmtGBag8ODsZavEOHDlWqVMG8DMcpU6YgA8gzHJEuzCR5ljHDQCJ7UjYp61B4r+CIRF451xXcrVILVcHNqcOIBgUF0XcAV61aBZ80wypLhPL6mb4wKqFvvSFmnJUzuFluKuvN0uLKTkXfYzZLGQvKFlRWnWV0KLOkrA1LQGF8QhX1Sb+VFQX/ECj4L4UjJM7zzz//XO7X/cCgQYPQHP3794+NjQ0ICKBlPeW8RYsWTz/9NDwjhs2bN8tot2zZgnSRK5yCO1lTd/uYVwYXtTUUldlRGN+ORVkgsyhmNGjHjh1jYmLKlClDjWi+CqVsAuGsxwpDBwwePBguUGkrVqxQPqPj07Lpxo0bjRo1ioyMxIKhevXq6Azi/k+zRxmg3jDE4EgCWlefyi7qtA/Yuz2T37Bs0qIcM1hbjzNAx61fvz79ht7HrF2sWDEaAFgytmrVCvMXPGN4bNy4kcJOmjSpWbNm9FteVsUciqkKCwgZvzIIjRksXskdczo9C2W+JE6jy+yI5Q4mRzKfGOGIGUsiYXwvDBM0RWUGphTRIh5kCVPA7Nmz5XJTxkkze3x8vDBWQpZRbc+hsmbIjx0UPzAwcO3atXQIQTl06FAs8TFHwBSRI+xE3bp17969e/ToUZSOSnTr1i1M/WT+dXUovFdwKqxZNlkK7laphabg4v7L71OnTq1YseKRI0cqVKjwwQcfkKOyRNATqDH7Q9k7duxAViFZ/FSySVdvlhZXdqqtW7fCjz0nhK4FlVUnTKXWZUloasNyt2LdunVhYWEkU5QVVdL4KDI0h/xYENRDUlKSlE0nTpyAgiHtDoYNGwYFIHIbffjw4eQ+YcKEOnXqkH8oeKz+IS4tl6Dc7WNeGVzr169HQPunCREn3NFwFPOIESPIfezYsci/MMkmXRO40mOJq1evwqJD1UFY2IW1T8smFB/dg35j5dC1a9crV66Yp2ICs1ObNm169uxJ92eV9Sk0XdRpHxCqOmfyFZZNWpRjBhPoAAOo+1q1atHv1NTUd99998knn5TesJ5AV6aF7MpcECHKjhWeMHX0ixcvmseYLgiNmT179pA3zLm04ncsmwBWJzQLJyQk0IToFJRxzpw5GOTICaL61nhUxTKzy/WrZVTbc6isGXloYeHChZUqVZKH9GbctGnTzEEw7yChzMxMzMWPPfaYdEdCZP51dSh96nC94ObaVhbcrVILTcHF/U0J84+JEnOuvIKiA8tQZOn777+3uJNgQhH8VLJJV2+WFheqToUhAD+6B6d0LaisOmEqtS5LQlMbFvtx7Ngx+Kd2VEKyCTqpdu3awnjrsFy5ctnZ2earTeD69euYshYtWgRRFRERIXIbHUUgD3SxDZoJXQLt2LRp03nz5tllq3CnjwlvDC6sxxDQfg/x0KFDfsY8TDHLtw7xA4ew31I26ZrAlR4rT6GGUXWlSpWCkDWfEj4om1An23I5ePAgeiCKBuEu37ewyCZIJTQ3FC3dFtfVp4zfgtM+IFR1zuQrLJu0KMeMxHKT7o033qBlKLFixQp05enTp2Nl2f1+MMMKU0fHVOtnsmG6IDRm5FCUH7uW8ehkE0YpFnmwMVFRUVigk6MSLEnNNxqEsfqpWrUq1kPCNrPLZ0gto9qeQ2XNyEMLs2bNsjzmJYylfNu2beUhrBESSktLw4Iek5F0hwkn86+rQ+nTggcFt8smS8HdKrXQFFzYJsS3334bacFYmrwoSE9Phzd58V8yd+7c4OBgFMHc5aTc1NWbpcWFqlOhxuDHUo3CeCsNMehaUFl1wlRqXZbIv702LNVFasZB05Nsgk4KDQ3du3cvWoEeCJOyCSZ/8ODBJUqUgDrs27cvUg8PDxe5jS4f1KX+gGoXxlUfSIrmzZuXLVt2+PDhJK086GPCG4OLakBe55MsW7bMfJOO3hsQueXKyMiQsknXBK70WMhQFBBdpW7dujNmzFA+1+xzsmnEiBHFcoGIOXz48KBBg6pVq4bq6tGjx40bNyyyCQsMiHK55YSuPv9/AvfjtA8IW7dn8huWTVqUY0ZikU2YKDEJyiUXLDq6MhYTYWFh8o4+BsCmTZvoq9SYcaijY5ihQrBqIT+6ILoxI+Mxj1XpKIzrw4gQq72goCD5vKcSLJ78/f0t76hHR0fTnQgZp7szu7Jm6LedNWvWlC5dWhZ/48aNmFVhejErySdCME/5GSt76KQqVapId0zQZP51dUiHdjwouFPZ5Faphabg4v6mhDGD6BkzZgz+y2eTdcDM9+rVi34jtsmTJyPPTZs27dOnz7lz5/xMFxhGjRrluN7ssknZqVq0aAFhIf2I3JZKSUnRtaCy6oSp1LosCU1tmKtLGE/L+qmuuklINuHHiy++CPMWGRlJd0+kbFq8eDHaBVkl/+PHjzfLJvn02L59+6BCpPggYFP79esHyfXJJ5940MeElwZXmzZt6OlvSU5OTkRERGxsrLAVZPfu3cgnakzKJl0TOO2xEJEoe0xMzLp16xy8z+hzssnM6dOn5eUfVB0qat68eebJYfbs2RBJR48elUF09Sk9WHDaB4St2zP5DcsmLY7HDCYF8316LKArV648cuRILOC2bt1avnx5zF/Xrl2DI8wSZg2MEyxk69WrR8ajcePGWILTZfwaNWpgYqV4dEF0Y0bGYx6r5sjByy+/XLNmTcxfdCiMW/Kff/65PCSQSpMmTRAWy2KIOUzxqIHixYvTe1IyTndndmXNkJ/Vq1db1sFIF2YANl4Yd0awZB83bhysUbly5d555x2KrWvXrmTmESEmoGnTpglj/sKiltx1dSi8V3CnssmtUgtNwYUpdUys+I2mFMZjDcgwTbXKEoG0tDQYrddffx0iCaoCEYaEhFSsWBEVdefOndDQULpKhOI4rTe7bBKqTpWamhoYGIi1OFJEEhgdderUiYqKQmy6FlRWnTCVWpclXW1Yev7SpUvp7pvQVJSUTcnJyVUMSIJI2QSzV6FCBbpMghqA+HviiSdEbs7j4uKQLkQkJEj37t3vizqXCxcuQKF60MdEHgaXuY9BEkHfoDinTp0Sxl1C6Gl0ANLNFHOPHj3QZIgNSg7CWrojJ7omcNpjURZ5E9MBPi2bVqxYgTonVY31Azr5qlWrZKuhU2HQQTWi/3xnAD2qq0+h6aJO+4CwdXsmv2HZpMXpmLGAQmElirVvq1atXnnlFcyScNy1axcmsrJly2JEYcKVWz2hl6MennnmGfweYiDjUQbRjRkZj9mQmyMHe/fuxSG9dkQoX9kQxsiHJcBs7mcAu4h5gU7JON2d2YWmZoSxIaHl1WhhPH/z6KOPwsCXKlUK83t2drYwTDIcYcAwDSEUbD95hm2AJatUqRLqqm/fvvKNMGUdCu8V3KlsEm6WWmgKLlOPj4+vVasWveaNmZdeORb6Egnjakfbtm0RPCAgAILm2WefhSx49dVXkeE5xit1qBzEI682CU29KWWTvVOBDRs2IBTc/f39kSJMtdz4R9mCuqozd2BllnS1Yen50FX0nLLQVJSUTRANSALNRO5SNiFyNB/UOTIG4wStifxDMVDOe/fujVMQJSgR5JE5Zjvu9jGRh8Fl6WPQzdBDfkZPAF26dKFNm0RuEwwePBhCCh0vMjKSbidJ2SQ0TSCc9dhf03aGT8smSB9M3ah8qHP0JdQ/BJBsNdQztbWEXrXT1aeyi7rSB9ytcyaPsGzS4nTMmMF8Z96ndeLEiZ07d5aHmFIxaebcf6UaMzItkQ8dOgTDb7lOqwyiRMajczxw4ACGqNynxylYtWBJKqWJRJmQUxzUDCZlWHF5ysyZM2fsX4FAhdiNE1ZsyK1ypeV6HRJeLLhnpRaqgnuQuhmsdGX9XLp0afjw4VRACAW4y5sFZlypNwedKisrCzEr86xsQSWWUruSJUIGxH9YdKd3M10BjWJ5GU3aMLjrHoRX4sU+JvTdTNnHoPbgjv8WdwJqiS5HEahwP9MDcOSibII89liflk0EqjQzM1OuEFxEV5+e4VadM3mEZZMWF8cM8c0332AduWjRIkwiW7ZswbL+ww8/tHrSg0VGYmKi1TXPYE5PTk7G0lO+X13wOKiZ+Ph4+95ChYNCXOqHoVO5QkJCQs+ePa2uXsKy9H9Q6LpZHvsYJNSCBQsCAwMdPBbmLQqBbGKKGiybtLg7ZpKSkiIiIsqXL9+wYUPMBW4tI86dO9emTZs7d+5YT+QNrGsxk8bExJi32y548lIzvkthLfVD0qkcg6HUqlUr+4v33uLq1astW7bM72/8uUJ+dLPJkyfLt/zyG5ZNjM/BskkLjxmGYZh8hWUT43OwbNLCY4ZhGCZfYdnE+Bwsm7TwmGEYhslXWDYxPgfLJi0P55hRvvokyczMdOzBKXkMLrly5crRo0fl3riO8Vai+c2FCxeOHDmi3Ow4n8jKyvryyy+V7wkWGGgduTemA+7evat8sCbvjYuYlZHAUW6h6V3c6r3CG2WUnD9/PiMjw/4aqS4JnbuvwLKJ8TlYNml5CMeM4/d30tPT5ccd3WLTpk30GrN5OyLp6C6Y92NiYmiHGMTWvHnzQ4cO0SllnOZE8xVl6i6SmpoaHh6OfAYHB6Nc3bp1y+/HgXfv3t26dWukWKJECaTYt29fVJTVkwt4XGpzQPQr+6daLCCfixYtsjg6bVxXsleyZElEsm/fPrNjYmIiHM1fjvMK7vZe4UIZXQQtHhERgaiCgoLwv1OnTjJO8y5KZnTuTtGVpeBh2eSUByjiGSUsm7Q4HjNff/213KaswHAgm7DQb9asWVpamvWEC8hPGt2+fXvu3Ll0NUU6uktsbGxkZGRmZmaO8bnvuLi46tWr0wY/yjjNieYrytRdYcuWLbBkY8eOpa9nfPHFF7CsFStWdGvDHrfYsWNH8eLFR44c+a3xqdeMjIzGjRujVq3+XMDjUpsD7ty5E71LeTFJopRNThvXQfays7PpVTjIplKlSo0aNcp8Ft0MjeIt2STTcrf3ChfK6ArQTKjAgQMH0lZJJ0+e7NmzZ+nSpWlfSp08QsbmzJnj7o5BwlQWaD5lznXuXqcoyyan4tWBiBea4N4S8YwDWDZpcTxmLN+kE8bMm5ycnJCQsHfvXrOBOXHixIIFC1avXm2+WnD48GE4zp8/X27Hh8kXwwBT1ZIlS+iboMJ42RsRrly5kl72lrIpNTUVYc1bs6xbt878ZU17onfu3EH8WIikpKQgzmPHjpH7/v37aZNluOAs/Ny8edPsePDgQfMghC2hL0LAXbk3DCzc0qVL5SHyXK9ePXg2x2kuLNwpUaHPpDD2V5w3b9727dsvX768a9cu6a7DUnXm1IH5wzjQBJSQrkSPPfYYfeFVghxCx9BGzGh35Flu/Hjq1Cl0b/ptbwVLK+vqtmnTpgMGDJDuAMvNChUqyOyhdIsXL0bM8m6OsurMpSZv9iwpa8MesEGDBuvXr6ffyopSyibZo4RqgNhTIVCHY8aMgTCFHBGGbHrhhRceeeQR6QH6NTQ0tHPnzmbZZB9TVCdIPSkpKTExUbkfgSUtd3svGlGWUdkEEscdGC1u2TseVdS+fXv6nBwNfEgoxAy5I78DKAtIh/bGJRyMBfQ3VO9LL71kaVCdu9cpyrJJJ8QlDkS80AT3iohnHMOySYvjMWORTTdu3GjUqBG6OKwdejZtog8++uijkJAQ+IyOjq5WrRrd6Rg0aFCVKlX69++PUYFlhPkrnm3btq1cuTJ9FgoZCA4OxlDp0KED/GPuo9mzZcuW7dq169SpE8JKQ9WjR4/x48c7SJTCwgVJILi/v//y5cvhPnr0aMyPTZo0mTlzplypmB0nTpwIiUAxA0zu9CkY5acAAOIPDw9PS0uzPHdijtNcWEQil0e6TI4aNQpmsnfv3g0bNoSBedz2vVIL9qozpw5TFxQURB8GWbVqFXySbVCWCLXnZ/rWqYS+TwIpgOnMz7Sf8nvvvUffKlG2gqWVlXVLX603SxkLU6ZMQVkQM0qHeCB0hKbqzKUWmiwpa8MSUBhfsUV90m9lRSllk+xRygFiT2XLli1IBXlA/Js3byZ1BT8QKPgv9SgMw/PPPy8/gSI0Y4rqpEWLFkgOnhED4iT/QpOWu70XjWj5/IW99wpnHRj9EwGhqMyOwvjsK8oCmUUxo6t07NgxJiamTJky1D3MV6GUjSucjQVhiODBgwfDBSptxYoV8haPzt27+Lpssi8GCPvCxqK2LWsG5VJEJ+LF/dpXuQrNi4hnHMOySYtyzMBGjjPAtFi/fn36jZ66du1azKHkB2ava9euGC3wjImMvqkOJk2a1KxZM6wI4RODihyHDRuGWUnkGtT4+HhhrNERNjAwENGSN6iioUOH0iwp5RFMLIXFFI+ZFMNDGDm0JypyZ1gsrMkd9kY+CGW+Yk8GwOyI5TjmbhrSMH6IHBOEMD6UgTxTDGYgIBAz4kGWYK5mz54tV8MyTnNh5SU0+duSSSRdrFgxMgOYIFq1auVYNimrTty/OJs6dWrFihWPHDlSoUKFDz74gByVJYKegP2zP5S9Y8cOZBWtqZRNulawtLKybrdu3Qo/9pwQGRkZyI/8UCvscd26de/evausOmEqtS5LQlMblrXsunXrwsLCSEwoK8qxbFIOEGFKBTXZoEEDWAJISctloZLGl+OgOeS+5FAPSUlJUjbpxhTVyfDhw8l9woQJderUIf+6tNztvWhEi2yyN4HTDrx+/XoEtHy/BSBOuKNLUMwjRowg97FjxyL/wiSbdI3rylggYHShoqDqIGrNkl3n7i18WjYpFwNCs7CxqG2LeFUuRXQiXuh1vFyFeiziGaewbNKiHDOYmgcYoL/WqlWLfqempmZmZmLawmwOqyMfFqYl8spcECHKDnUvjG+GoxJgZhAkIiJC5A4queJcuHBhpUqVfk3VeJlI5M6Sch2J9SXNnhcvXqShIvSJUtg9e/ZQWNgDeZ3DsWwCGHtkJLBqoRSdgoqaM2dOz549kRlE9a3xjI7F8FBhzYkqM/nuu+8++eSTMmaU2vE4V1aduL9EmIYwo6HJ5BUUHZhrkCX7VyYwFcId7a6UTbpWsLSyUNUtuhP8nNE8ODVt2jRz8Sl1ZENZdcJUal2WhKY2LJYVq1X4p3ZU4lg2KQeIMKUCP2g1TOJYBFtEKskm6KTatWsL433GcuXKYZVvvtokVGOK6gRJkwe6jAfN5CAtwvXeK2wfW7U3gdMOjAUPAtrvIR46dMjPmC0pZvk+I37gEOJVyiZd47oyFuQp1DCqrlSpUpDITt29hU/LJuViQLewsahtcX8rKJciDkS8sHVIyyqUfngg4hmnsGzS4njM2J9tQnccNGhQtWrVUECs6rAQmT59Orp79/vBjDx48GDYGNjIvn37wgXrCZHb9eVTn7NmzTI/q0TIIUGHc+fOpR4PS+CXa7mViWJIW8KaP6Ath59ONmFSxloKxhVLoqlTp5KjEqyYzfdBhDEdyA81WMY5FdYumyyZfOONN+jiAbFixQrH41xZdcJmKt5++22kBZNm8qIgPT3dzyRVJaj84ODgW7duWWQTIoRs0rWCpZWFqm5RY/BjqUZhvDuGGCZMmIDlo3TENArPWI8qq06YSq3LEvm314alukhzSP92HMsmoRog4v5UMInDzDdv3rxs2bLDhw+XcodkE3QSlsh79+5F+9KjZlI2wSYpxxTViXzOgzJDDw4q0/Kg9wqbbLI3gdMOTHUrDa1k2bJl5pt09EaCyC0XzLOUTbrGdWUsQIaigOiEsO4zZsyQ1aVz9y4+J5tQ29tyOXjwoH0xoFvY2JdMliGmQyniha1DWlahHot4xiksm7Qox4zEIptOnz4tO+ju3bvDwsKwkMWyDz/kMwHo0Js2bUpISChdujSEDjmOHz9eKZvWrFkDbzLsxo0bMb/oZBMsENzpnrcyURgJ3ZwOMLHaZZN0FMYLO4gTi86goCD5OKoSTCVYaVlezo+OjqYbJTJOt2QTzBtMl1woT5w40fE4V1aduL9EMDkQPViK4b98glgHjHGvXr3oN2KbPHky8ty0aVN6BO3cuXN+pisBWFxCNulawS6blHXbokULmH/pRxiaAwFTUlIgnqA85EV7ckd3UladMJValyWhqQ1zdQnjWQo/1VU3iWPZpBwgwpYKAZ/9+vVDhJ988onIlU348eKLL2JJHRkZSXejpGxavHixckxRnchHRvbt2wcVIsUHYU7Lg94rbIbK3gSudOA2bdrQ09+SnJyciIiI2NhYYSsIKhD5RFtI2aRrXKdjASISZY+JiVm3bp350Rydu9fxOdk0YsSIYrmg89gXA7qFjX3sO5ZNjkW8sMkmy3Sq641ORTzjFJZNWpRjRoJpxXynH52vfPnyNHGjc5crV27VqlXXrl2rXLky7CjmHcxcWCLXq1cPNV6hQgVauqGjY7w98cQTwjYXY/hhhMBCC+PuA5bF48aN08kmUKNGDbIxykRhZXWjCGAVgqGO4W1WMNKR/Lz88ss1a9bENEqHwrhA/fnnn8tDAgk1adIEYTHgUQRYIFRj8eLF6QUxGadynAuNbIJ/lGjkyJFYdm/duhX1LEu9evVq+xpdWXXClDrMCX6jRMK4do0Mk3pQlghgyoMJef3116GQoCoQIZaYFStWhBQQxttMoaGhdKEIJcLqHLJJ1wr2qVOo6jY1NTUwMBATNFJE/OhpderUiYqKQmyw+uhd77zzjjBm5K5du9IT6MqqE6ZS67Kkqw1LB1i6dCndIxOaikIVoc7TTaDyZeMqB4iwpWLmwoULJEalbEpOTq5iQBJEyiaspJVjiuokLi4OJYI8hQTp3r27OQkJpeVB7xUuGCpdBzb3Xlhf6BsU59SpU8K4wACljn5FNUAxwyqjMyA2KDmS7FI26RrX6VhAWeRVPTM6d6/jc7LJjHIxoFvY2Me+cs0gcSzihUbHO+2Nroh4xjEsm7Q4HTNmMFsNGTIEi3WYFszyr7zyCg2bXbt2oVOWLVsWdgJT+ZEjRzDBtWrVCgMMnRiTF8wtbDBmN/ug2rlz56OPPgrzXKpUKcyh2dnZDmTTEAP6bU9U6M2qMB6VxalnnnnGrGCkI/nZu3cvDul9K0L5DKMwjCIMFYyNnwEEAUwmnZJxKse50GcSHSY8PBzVi6pD3cK2kYcOHTpYXtsm7FUnTKnHx8fXqlWLXsZGc9ALKUJfImFck8AKEsEDAgIgaJ599lkY71dfffVb44L5HOOtOtQ2oqKrTULTCvZWFqq6BRs2bEAouGPqRIowqHJ7HogqlA5CAYmiBki96arO3I7KLOlqw9IBoKvoaWKhqSjIJmpxSUpKimxc3QCxpKJEyiaIBmQeYcldyibdmKI66d27N05BlKCuII/MMdtxt/cKFwyV0HRgS++FIodR9DP6GOjSpQtt2iRyG3fw4MEQUujSkZGRtPmhlE1C07jC2Vj4Ne0Hh0/LJuViQLewsY9985rBvhRxLOLNwZXTqa436kQ84zosm7Q4HTN20LmxRLPvPofJGoPKfK37zJkz9hdnlMCn/UsLdg4dOlSpUiW6TkDYE3UA8mwOa3c8cOAAZmS5ZYhTMDixYiaLbkaZkGMwKZh3dcPyqHPnzvQbMwW0izxlwV51HqRu5urVqygUTXNoPiz7ZAFh0XFK3g2RuNIKDuoWUzCiVeYZ0ToVAYSl1K5kiZAB8R921+ndTKcoB0geG0ViH1PScsBd94i9Ei/2XqHvwMreiyqCOz34ZQdqiS5HEWhKP9NzdeSibFyvjwVv4dOySbcYUC5s7LLJLF6VSxEHIl5odLxT2SQ0Ip5xHZZNWpyOmYcNjLrExESra56ByUlOTsbgl69/FzBYZmHiWLRoEab+LVu2VKlS5cMPP6RT8fHx9s1OfIgHXrcukpCQ0LNnT6vrQ4/FcjwodB04j70XEmrBggWBgYEOHjh7+PFp2UQoFwPCtYWNK+JVJ+KFa8Et6EQ84zosm7S4OGYeHs6dO9emTZs7d+5YT+QNjFhM9DExMXQf54GQlJQUERFRvnz5hg0bYp61L6Z9lIehbp2CHoVVqf31+Iefq1evtmzZMr+/HugK+dGBJ0+ebH5A2EcpBLLJt9CJeMZ1WDZpKZRjhmEY5uGBZVPBkx8ivkjBsklLYR0zDMMwDwksmxifg2WTloSEhPO2bVsZhmEYr5CTkzN9+nTrzPvQwLKJUcKySctPP/00fvx4Vk4MwzD5QXJy8r59+6wz70MDyyZGCcsmR/zyyy8ff/zxnxnGR6hatarViWEeSqZNm7ZmzRrrnPswwbKJUcKyiWEKD5BNVieGYTwCsmnZsmXTGcbE8uXLWTYxTOGBZRPDeAu+2sQoYdnEMIUHlk0M4y1YNjFKWDYxTOGBZRPDeAuWTYwSlk0MU3hg2cQw3oJlE6OEZRPDFB5YNjGMt2DZxCiZNWuWta94il0RsWximAKFZRPDeIvExETet4+xcPHixUWLFln7iqfYFRHLJoYpUFg2MYy3+Pnnn998801WTowEmmnChAnoGNa+4il2RcSyiWEKFJZNDONFfvnll4ULF/4XwxigM6BLWHtJHrArIpZNDFOgsGxiGIbxFeyKiGUTwxQoLJsYhmF8BbsiYtnEMAUKyyaGYRhfwa6IWDYxTIHCsolhGMZXsCsilk0MU6CwbPp/7J0HeBTV/r/pgjTpXZAmBEgBQhdC710QpIkoKiAtUsIFlCKoiCA1gPQAEojUEPqfXqWD9BpBCCFkuF6vnf/HPT/mTs6ZSXaTJbubfN5nnzyzZ86cOeWbOe/Mzs4SQoinoBoRtYmQZIXaRAghnoJqRNQmQpIVahMhhHgKqhFRmwhJVqhNhBDiKahGRG0iJFmhNhFCiKegGhG1iZBkhdpECCGegmpE1CZCkhVqEyGEeAqqEVGbCElWqE2EEOIpqEZEbSIkWaE2EUKIp6AaEbWJkGSF2kQIIZ6CakTUJkKSFWoTIYR4CqoRUZsISVaoTYQQ4imoRkRtIiRZoTYRQoinoBoRtYmQZIXaRAghnoJqRNQmQpIVahMhhHgKqhFRmwhJVqhNhBDiKahGRG0iJFmhNhFCiKegGhG1iZBkhdpECCGegmpE1CZCkhVqEyGEeAqqEVGbCElWqE2EEOIpqEZEbSIkWaE2EUKIp6AaEbWJkGSF2kQIIZ6CakTUJkKSFWoTIYR4CqoRUZsISVaoTYQQ4imoRkRtIiRZoTYRQoinoBoRtYmQZIXaRAghnoJqRNQmQpIVahMhhHgKqhFRmwhJVqhNhBDiKahGRG0iJFmhNhFCiKegGhG1iZBkhdpECCGegmpE1CZCkhVqEyGEeAqqEVGbCElWqE2EEOIpqEZEbSIkWaE2EUKIp6AaEbWJkGSF2kQIIZ6CakTUJrv466+/1q1bt337dikdKTt37pQSk8KtW7cWLFgwbdq0iIiIP/74w7jq77//Nr4FP//8M2olJSYCp7dOrWr8nD59OtgGFuR1KQ5qEyGEeAqqEVGb7OK///0v+iRdunQ//fSTnnj37l2kvPrqq4aMSQLClCVLliZNmnTu3LlEiRI+Pj7R0dFi1Ztvvvn999/Hzf706tWrqJWUmAic2zrTqloB8+vQoUPu3Lk728iePfv777/vqHV5FtQmQgjxFFQjMpl01UxEiEXp0qVnz56tJ06bNq1IkSKJEAsjFy9e/PTTT5/aLvnkyJEjLCxMpP/+++9Vq1YdOXKkeJszZ87jx4/rW+lIV6QSh3NbZ1VVU/r06VOtWrXY2Fjx9tq1a7ly5Vq8eHGcTO7EqVOngoODYXvyCruhNhFCiKegGhG1yS6EWIwaNapevXp6YvXq1YcOHaqLxY4dO1q1alW2bFkfH58pU6Y8tV2w6dKly/Tp08uVK1ejRo2NGzfq2/7555/r169v1KhR3rx5P/7446c2T8qUKZMxD+Rj//79WBg8eHCGDBmgF6tWrerWrdv48ePLly+P3aH8hg0bir0sWrTI29u7SpUqM2fO1Es4evQoMnh5eY0YMSIoKMjqE7fEte6pTa38/PyQ0rdv30ePHj01VBX7un37dteuXdH2pk2bHjlyRGxy584dvQlr165F5gMHDohVAvTAoUOHsHDhwoWOHTuiAthc9EM8LZVqcvPmzebNm+tre/fujQpgc+x66dKlFSpUwOa7du365ptvKlasiJaK8kGCdQ4JCWnWrBncDi29cuWKvgv7oTYRQoinoBoRtckuhFjAQl588UXxSdaNGzdKly4NjxFiERkZmSVLFphQdHR0REQEBOjUqVNXr15Nly5dhw4dkLh9+/Zs2bKdPn1a07TJkycXL14cs/WSJUtQsr6XcePGZcyYsUWLFlOnTj158qSe/uOPP2bPnn3dunUnTpxAhjZt2mBDJIoP6fAX8tGpU6eLFy/CCdKnT3/58mVshXrmyJFj7ty50AUoEXIuX75cL9NI4loH7ShVqhT2hfLhKO+///5TQ1WjoqJefvlltOjevXvQI3gGynxqu7qmNwEKgmUYZNzq/MP9+/dfeumlzz77DIWvWLECFTt37pxVS9WaIPMLL7ygl4ZWbNq0SWyO4cACJBL17NWrF7YaPnw4zBLZfvnllwTrjAYi5fr16x999FG+fPlgV+gQfUf2QG0ihBBPQTUiapNdCLHA9NmuXbtZs2YhZdKkSaNHj9bF4vHjx/v27ROZ79y5U7RoUUiG0JoHDx6I9N69ew8ZMmTbtm1I/PDDDzFJPyv+fxw7diwwMNDHxydt2rSVKlX64YcfRLr45AsVwLa3bt0Sibo24S/MRiSiPt999x0Wvv7667p164rEv//+u0SJEvFrk6Ot27p1K7whLCzsiY3//Oc/IoOoKlynXLlyfzwDggJ1e2pTEL0Ja9asgdiJrSRQ+apVq+pv0XUffPCBVUvVmlhpEzaHWiEFHYtluB2WL126BBHEgj11NnL27NkyZcq88sorUnr8UJsIIcRTUI2I2mQXuljAJMQnWTCbCxcu6GIBZs+eXa1atdy5c/v5+cEG1q1bh3k6T548eiETJ07s0KEDDGb79u2tWrXCKliU8YMe4x0zmN0hMShQvNW1KV26dH/99ZdINGqTfhs1KgYdwcLQoUPfeustkQgaNmyYoDY51DrsES0qUKBAxowZmzRpAocQOUVVx48fDxfJY+Cdd955alMQvQkHDx7EfjVNExsK7t+/HxsbO2zYsG7duumJU6ZMadasmVVL1ZrEo01ic7Es1mI5ffr0WLCnzk9tH7Ci+Y0bN86fP39QUBA88v92Yx/UJkII8RRUI6I22YUuFjCbbNmy7d6929vbG+m6WISFheXNm3fPnj2//vor3hYrVkxoEyZy/a7tDz/8UHySJbh+/TrMJleuXJ07d8bb1atXY5423uJ94MAB/WKMrk1ighcYtUlP1GVi6tSpmNr19PLlyyeoTQ617pdffomKioKFnDx5smfPnkWLFhWliapCs2rXrq3v4uHDh0IKjU34/fff0fylS5fq2Z7avogHX/zqq6+MlQ8MDOzSpYtVS9WawPkyZMig5yxcuLCuTSLFVJvsqTOcDM2vXLny4sWLjR+w2g+1iRBCPAXViKhNdqGLBZY7depUqlSpyZMnPzWIxWeffValShVxJQMzNDJDg8TcPH369Ke224Py5cun3pT9n//8R8z9mqZBTd5999179+49td1d1KZNm44dO4ps2Hbbtm0OaRP2+OKLL27evPnPP//85ptv0jy7twkjC2PT8z9NbOtmzpwJexAitXbt2iJFiojSRFWxiyxZsohnQcXExKBMcQe31AR0Dlq9devWp7arOMjzwgsvHDly5NKlS5kzZz58+PBT28eC+fPnX7lypVVL1ZpER0djLyKGw8PDsZU92mRPnZFZuofdUahNhBDiKahGRG2yC6NYYGLG8s2bN58axAKuU758+dKlS/v5+XXo0KFp06Yff/yxmJthP8iTO3fuiRMnxi1V5uTJk/7+/tgkQ4YMmKfbt28vvp721HZzD9KDgoLs16antpt+KlSokCtXrh49epQtWzY0NPSp7RMr/atwgsS1DprStm1bSBL2WLhw4S1btojSRFXhQ1CrAgUKeHl5oe3QQXHrt6RNT21XxWBF2bNnhzCVKVNGv8MakofCxebiHiOrlprWBH2VKVOm4sWLN2zYsHbt2vZo01PbNT976uwQKN/4VtImaS0hhBD3QTUiapPT+PvvvyMjI/U7o58a5uYHDx78+9///l/WeHn8+PG1a9eePHmipuu319jDjRs3duzYIZZRt0KFComv2YeHhy9cuDBOVjtQWydAreBY0rfh9KqKrRJsOzLDzMQN2lL6nTt31J2aotYEG4ovvjmEnXW2n+DgYPFIBYFRm5COtfpbQgghboVqRNSm54h0dSSZwd6zZ88OQzpw4MCHH35YpkyZ3377DeljxozRHy9JkoHo6GgvLy/dnHRtOnjwINL1B8ETQghxN1QjMpnU1UwkcTx8+LB///5yajKyb9++Xr16tWzZctiwYffv35dXk+SiU6dOJUuWFOYktAnOVLx48cDAQDkrIYQQt0E1ImoTIc+d5cuXw5bKli0Lc8ICnOnll18uVKhQ4p4zTgghJHlQjYjaRMhz5++//y5VqlStWrUqVqwIbSpRogQU6s0335TzEUIIcSdUI6I2EZIcjB07FsLUvXt3OBMW/Pz89u7dK2cihBDiTqhGRG0iJDn49ddfixYtWtBG2bJlAwIC5ByEEELcDNWIqE2EJBO9evUS2lSzZs1Vq1bJqwkhhLgZqhFRmwhJJu7evVuoUKFixYpVqlRJPAyCEEKIO6MaEbWJkOSjSZMmRYoU+eqrr+QVhBBC3A/ViKhNhCQfhw4dKlOmDB9xSQghHoFqRKlRmx4/fvzFF19MmjTpU0KSnQEDBshJhDxncLibMmWKpmny0ZAQEi+qEaVGbcLhIzIyUiOEkFQDDnpTp06Vj4aEkHhRjSg1ahPOveQjCiGEpHQ+++wz+WhICIkX1YioTYQQkiqgNhHiKKoRUZsIISRVQG0ixFFUI6I2EQ8jNjY2YsuOgf1H1KnV0Kucd8GCBcuX865Vo+F77wwLW73t0aPH8gaEEBvUJkIcRTUiahPxJDZv2lK7VoB/lbrv9x438/Pty4NPbV51F3+xjBT/ynWr+9dbsXRzbKy8ISGE2kSIo6hGRG0inkFMTMzQIcN9vf3HBy2HKlm9sNa7kv87bwU+jIqRiyAkdUNtIsRRVCOiNhEPAM7UuVOXxg06rll8WVUl6YU8jet3bNG088OHNCdC/ge1iRBHUY2I2kQ8gGEfDW/asOPGFXdUSTJ9ISfM6d3egXJBhKRiqE2EOIpqRNQm4u5ERERU9qsWuki+zrR2ydXVCy/qr9BFl4xrkd+7kv+3KzbLxRGSWqE2EeIoqhFRm4hbExsbGxDQYMIo+X6mXl1GplGoVa2FMc/4oOU1qgU8fpzw/eHYy6NHj2KVO8lFupT4XLl169b3339///59eQUhSYbaRIijqEZEbSJuzc6dO2vXrCc5E15fjt/YqF7ngDodXsqRN336DFho8Nrrwz+cI2Xzr1J3w7rtcqEK06ZNQ8xPnjxZSq9VqxbSr1y5IqUnyNmzZydMmCCnxsuhQ4fq1KmTNm3aF198EX87dux4+/ZtORMhSYDaRIijqEZEbSJuTVBQ0MAPJqjapL8qlq+Z+YUX1XTxev/t8f3eGy4XqtCjR49MmTK9/fbbxsRly5bBYAoXLmxMtJPmzZsPHjxYTrVmz5492bJle/PNNy9evIi3586d8/Pza9asmZyPkCRAbSLEUVQjojYRt6ZRo0Yzv9im+pD+il+bZny2rXathnKhCl5eXlWrVq1Tp46eEhUVVaJEidq1a7du3VpPjIiImDVr1rfffou1euL9+/dDQkLmzJlz6NAhkbJ58+b8+fMPHToU9iNS8N80e/bs8PBw8TYmJmbDhg3R0dEoCguPHj165ZVX2rZtK9YKdu3alTZtWv1CF3Y9c+bMjRs36p8k6oUcOHAAtTpy5Ii+rVolkfnevXvi7fnz51ElLGDXIn3btm0o5PLly0hEUdgXTO5ZeXL9NaUJejpxZ6hNhDiKakTUJuLWeHt7hwSfVn1If8WvTdi2fDlvudC4/PTTT+nTpx81alTBggX1xHHjxlWvXh0i9cknn+AtxALLZcqU6datW5UqVYoXL379+nWk3759u1SpUjCe3r1758yZE1tBWcRHexC+TZs2PXjwAOKF/MhQoUKFDh06aLbP4/Lmzfv666+XLVt2wIABS5YsSZcu3cmTJ/W9C4ScYdd169YtXbr0e++9hxIaNGgAZRGFZM2atW/fvq+99lrjxo0zZMhw9OhRzaxKIjMk7M6dO6Lkt956C3vHwv79+5HepUuXhg0b+vj4FCtWbOzYsf7+/i1atEA61prWXxRobIJIJG4OtYkQR1GNiNpE3JpixV7eEHJb9SH9Fb82YduiRYvJhcZly5YtCPhTp07h748//ogUKBGEIzw8/IUXXti4cSNSZsyYERAQ8PDhQyw/fvwYxrBs2TIsL168uFy5cqKcFStWwCGwEBISki9fPpE4cOBAmJ+4xRt/8+fPLy5ZQdTmzJkj8kBifH19xbIKfMXPz+/u3buarYRChQotXLgQyygEFQ4ODhbZkD5//nzNokrIDPESiaBSpUqTJk3Cwtdffw09Wr58OZb37duHAocOHSry5M6dGz5nWn9RoLEJxCOgNhHiKKoRUZuIW+Pt7bNi/hnVh/RX/NoUEnzaq3wCV5smTpxYsmRJLECG/p/toyuYyhtvvAE/MF6huXbt2ubNm2EYkydPzpAhg7CHEydOZMmSpUWLFjt37tQLHDJkSNOmTTWbZ2TNmhUisuEZUBCYCsqvX7++nh+Z27dvr781EhkZmTFjRqFugubNmwcG/vM8KhRSs2ZNkRgVFYVs27Zt0yyqJFoklh88eID6b926Fcs9e/Zs0KCBSIck5ciRA2s12yUrHAR2795tWn9RoLEJxCOgNhHiKKoRUZuIW9OoUaMFM3eoPqS/4temGZ9te61OAvc2QVk6deqk2b43t2DBgqNHj2bLlu3ixYsTJkwQV2hiY2PffvvtPHnywEXee+89GEO6dOnEdSnN9nFVmzZtkIK14mO1unXrBgUFac/uT2oTl/DwcB8fnxkzZugVaNmyJbbV3wogMevXr0fm9OnTR0dH6+kQF/G5GwqB8IlEGBKy/fTTT+KtWiVk/vzzz8VaCB8yiwtIFSpU+OKLL0T6hx9+iJqIZez6xRdf3LFjh2n9RYHGJhCPgNpEiKOoRkRtIm4N/GPER5+qPvTp6NAaVZv5+zXMnu2ldOnSY6Fa5cYf9p0iZXv/7fFDh4yQC41L8eLFxaMH3nrrrU8++aRVq1YjR47E27Zt23bu3BkLa9euzZIli353NqoE28DCgQMHhMGAw4cPZ8+eHSYBx8qRI8eaNWs0m6BAO8T1G3D8+PF58+bhbcaMGcV9SIIRI0bkz5/f+KwmSBusBeb03XffZc6cWb8N/MyZM5Chffv2iUL060lQoniqBOvKlCnT9u3/9yCGnj17iszYI/xp9+7dIh3W+PHHH4vlMWPG4K1p/TXb9SqpCcQjoDYR4iiqEVGbiFsDM6hXNyD8W1mb3u35Sfr0GdIYwATfoO7rUrbq/vWMn1Wp3LhxA9uKj7cmTZpUu3btIkWKCIPBAqYZLKxcuRL+IZ6itHnzZghNx44dsRweHg57gExothu3ixYtOmfOHHGPFPxGJGbNmlVczjl37lz58uUHDx6M+mTLlu3x48d6HX744QektG7dGrYEQ9qxY0e5cuXatGmDZVQP2rRgwQJku3nzZvXq1WF1mq1bMmTIoAsN9A4ypFlU6dq1a6jS1q1bsVNYFKrUq1cvZEAKMovLUTExMWiX/mlgy5YtP/zwQ9P6i71LTSAeAbWJEEdRjYjaRNwaqEODBg1mTF0l+ZA9r/FBy+vWra8++9vI2rVr9U+swsLCEPnixuorV65gWVyhiY6Orl+/fs6cOWEzzZs3b9++fbt27cTmH330UZYsWcqUKZM7d+6uXbsi59WrV/PmzQvXER9mrVq1CqsKFy6MbEOGDIFqwEJee+21/9XABrwNUoI9wmOgaMOHD9c/mFu+fDlKKF26dI4cOXr06CGqikK8vf93zxbWiluONLMqIbFFixaZMmUqUKDAsGHDatWqJTJDE/VCxFftIiMjxdtChQotWbJEM6u/Ztu72gTi/lCbCHEU1YioTcTdiYiIqFat+oaV8m/Sxf8KXXTZz7eauHHbKVy8eFF8nU3iwYMHp06d0oUDPHz4UDyeQH97+vRp46OerLh06dK5c+fUqzgoAbsw3bspapU027Oa9PuxHML++hM3h9pEiKOoRkRtIh7AiBEjOnboFP7tHVWPTF8bV9xp1rjj8OEJ3NVESKqC2kSIo6hGRG0iHkBMTEzXrl1hTptWXVElSXqtWXy5RdPXu3TpKh4LSQgRUJsIcRTViKhNxDOAA40YMaJateqzp6/asvqeakviNenjFVWrVBs+fASdiRAJahMhjqIaEbWJeBIRERH169evVy9g1IiJS+fvWr3k9JbQe6u+Ob1gxo7AQRPq1AnAWifez0RISoLaRIijqEZEbSIeRmxs7M6dO4OCgho3buzj41OwYEH8xTJSkB7/9+YISc1QmwhxFNWIqE2EEJIqoDYR4iiqEVGbCCEkVUBtIsRRVCOiNhFCSKqA2kSIo6hGRG0ihJBUAbWJEEdRjSiVatPixYs/JYSQVMOSJUuoTYQ4impEqVSb5LMwQghJ6VCbCHEU1YioTYQQkiqgNhHiKKoRUZsIISRVQG0ixFFUI6I2EUJIqoDaRIijqEZEbSKEkFQBtYkQR1GNiNpECCGpAmoTIY6iGhG1iRBCUgXUJkIcRTWiVKpNfG4TISRVwec2EZIIVCNKpdokn4URQkhKh9pEiKOoRkRtIoSQVAG1iRBHUY2I2kQIIakCahMhjqIaEbWJEEJSBdQmQhxFNSJqEyGEpAqoTYQ4impE1CZCCEkVUJsIcRTViKhNhBCSKqA2EeIoqhFRm54jMTExj2xgQV4XL7du3Tpx4sT9+/flFQkRGxtrz75OnjyJWsmpjmDnjqy4ffv20aNHr127Jq+wIIm1TR6uXr165MiRyMhIecVzI9Fx4lwwOqiGnKog/h3kVNvmjx8/llOTjGtj7MqVK4cPH0YdpHSrvVilOxdqEyGOohoRtcnJbNiwYfPmzWL5hRdeSPOMF198sVGjRvCVuNlldu7cWa1aNeTHtunSpevUqdOdO3fkTNZMmDChatWqcmpcDhw4UKdOHTnVQezZkSmYTtAP6WygmZUrVz548KC+1th7OugB5Dx+/LiU7nRM924PW7Zs8fX1RSUzZ86MdrVo0eL8+fNyJqeSxDgxkuhWGzdERO3bty/uehn8C6DCe/bsMSYGBwcjsWfPnsbEJOLaGMPQ+Pn5obRMmTLhb/369fVib9y4gZRTp07F3cIyPUFM2xIP1CZCHEU1ImpTHM6dO3fkyBE51RHKlCkzZ84csYwpbfz48Tho4qw3IiLC39+/fPnycbPHYdu2bRkzZhw0aBAOo3iLs9UKFSrUrFlTzmdNgjYTGxvr4+OzdetWeYWDJLgjKxo3bowWQR9Rk4sXL7Zu3bpw4cIPHjwQa429p/Pw4cMZM2Ykw1Uc070nyKZNmzBBBgYG3rp1C2+///57zNl58+ZF6+SsTiLpcWIkca3W4m64fft2xBXGNG6WOECbsmbNOnjwYGMi4gG95xRtioqKunz5subSGIMz4b++W7duOJLg7dmzZ9u1a5ctWzZEhWatR6jbtGnTfvzxRyk9QURb4Hx21pzaRIijqEZEbYrDyJEj27RpIyXiNHrmzJnwnps3b+7YsUNPP3PmzOzZs1etWqWf6O/du7dIkSKYz44dO6bZtGn+/Pl6/rCwMHQsJtf9+/cbz2txZMfRFgve3t5vvvmmng7gW3ny5Dl06JB4e/r06QULFmCP0sV/7Bc1xJBJNqPWcM2aNWXLltUzaLYy586du2zZsrt37xoTk7gjtFGvthFMnAsXLtTfYiIpVaoUMmuG3jt48CBOozETfPPNNwcOHHj06BHe3r9/Pzo6Ggt4i55EnUUn61gNkxVSw/W9h4aGhoeH69kgBGJHVi0qXbo0pkljCmoIj+ncubNmm8tRZ33OvnDhAnpPz6n2G+Zvve2LFi1yVpxYdZ0UsZpZlbBK7RB1w1dffXXt2rWadUdBm15//fXixYvrKfhfyJ49e4MGDYzahG1RgVmzZkEHRYqoPAIgJCQkODhYuJER9OrQoUOhqlAfzb4YQ7WNXY10p8QYhkaMuw7UrXbt2g0bNtSeaRMUCoVDdy5duiTy6A0Ub9UhEFhFLOIEfdu7d2/TbjdCbSLEUVQjojbFQdUmnBzjyN6hQ4dy5crhmIjTO5H+9ddfZ8mSBZkDAgIKFSokPqEYMmQIjl8VK1b84osvNEWbhg8fDmXBYXTUqFGYVvV0HGf79OmDE1N0u3F+kvj4449ROPZYp06d/PnzY/YS6XoNMW9h17rNmNawVatWw4YN08vEYTRz5sw4HUeZBQoUwHFZc9KO6tWrpwooqFGjhq+v79atW9XbWfTeGzNmDLoCObH3jh076h+giFkHe8GqWrVqpU2bdhg+AFAAAEBSSURBVMmSJWJbq2GyQm24vncUlSlTpsWLFyPbypUrkU3MRqYtQmNRJXW6mjZtGvoEzgTXQQZx7UGLe5XOtN+uXLmit93Ly8tZcWLVdVLEmlYJ5qp2iLQhQFyhPzWLjtJs2gRBwV9dHGE5bdu2RWZdm3r06IHh6Nq1a+PGjdOlSycuC4nKV6lSpWnTpsiMEjZu3Cjyb9q0CTtFlZCORHG5y54YQ7WNXY3Nkx5jiCJsC6mS0iE6aAtMSxSOMa1bt26jRo1y5MghxtF4Fcp0CLR4IxZtgRT26tULb6FoS5cutbpTitpEiKOoRkRt+gfMbR/ZwIESZiOWcTKH6SF9+vTiyIVzU39/f3GsRH4c2tatWyc2Hz16tI+Pj1iWPqQrWrRoRRuFCxfGSbC4xwInxziMirn23r17KGr37t2bN29Gt+NQLraVwJk3juCYJMRbHMFLliwZExNz9OhRFIXNNdulfhyRxaxsWkPMIjhS40xXJCJPhgwZVq9eLd7CqN5//32n7AgLOJM2bQsEAsd9tBQ1wSw4depU4x3NovfEfDZw4EDNduVG0qahQ4eKzJhrxU1aVsNkhWnDNcPYjRs3Lm/evEeOHMmTJ89XX30lspm2CDKB7lJvyt62bRuqeubMGSttsuo3Y9uxubPixKrrNEOrraqkWXSI9GnXmjVrcubMiRgz7SjNpk0rVqyAdgwaNEikwB5CQkJ0bUJ7YTDC3UG/fv0gAdozq+jfv79IDwoKeuWVV5AZ+l6kSBGchEjXn+yJMS1uV4tdJDHG1q5di22vX78upaNYpGPsROEDBgwQ6YGBgWiCZtAmqyFIMGIFkZGRUChYHY42pmJNbSLEUVQjojb9A47Ub9qA3xQrVkwsb9myZfz48ZUqVdKz4URQHCvFSfOyZ+BghB7D2aSmaNNbb701x8bkyZPhZMWLF7969SpW4VRSHK/nzp0rDp3YHQqxuiFm4sSJxsO0mIxPnjyJo2Tp0qX1dFRYzMqmNfz+++/F3CAyz5s3L1++fPq24ptxTtmR6Ip4QIdPmzatXbt22Ba7u2G7R0eLq036WbukTbt27RLpmA7FxRirYbLCtOGaYeww92OyxAQmLp/Ew5IlS1Cln376SUrfvn276DcrbbLqN6ntzooTq67TDK22qpJm0SHSnH3s2DHk14dSRWgTPOnll1/WbF88zJUrV1RUlPFqE7h79y4OPvPnz4dU+fn5ac+sQv86hbjetn79egyit7f3zJkzVW3VEoox7Zk2ia52SoyJT+HVzxBxspTGdkQVhevfOsQC3sIydW2yGoIEI1ZPR/ei33CGBovV03WoTYQ4impE1KY4SB/SDR8+XJzvCpYuXSqOlSgBJ7It44KjuaZok/FDOpykFihQAGeQmm2KwhkhZqN69erhVF6zXcxAt+ufPugEBwejZJxh16hRQ0/EPIHMW7duxak2Tnz1dEyuYlY2raGYcfUpfMqUKdJ9TprtVD7pOxJdoYITcamBaHXBggVFn2hxtUm/c1aa0nTtw6QobrG3GiYrTBuuxR078UEhJsu4WWQOHDiAbOqXyGbMmJE5c+YHDx5I2qTrplW/SW13VpxYdZ1maLVVlUQ2tUOkOVvYjNXQa8+0CZ6UPXv23bt3YxTEPWG6NmHW79WrF/5rIIidOnXC3n19fbVn2qTf9SziAT2Pfyj4ROXKlV966aX+/fsLr7IzxrRn2iS62ikxJnpAv9Sns3jxYuOHdOKrA9qzdh0+fFjXJqshSDBi4aBoIEKlZMmSOEOzukOc2kSIo6hGRG2Kg6RNOCjjgKuf20EdxLESJ4I5c+bUbyDAMXfDhg04iGMZRzcrbQJFixYVn1BgQkUJODXMlCmTfmdolSpVMFsY8x86dAhjgbNYTIqFChXS79UQ6WfOnIG+QMX0dBw6xaxsWkMcr7GVuDcWfPvtt9myZdPzrFu3btKkSU7ZkegKlfDw8LRp00pfzg8ICNA/fxG956g2WQ2TFaYN1wxjh5kM0jN06FD81W9MtgJzfPv27cUyiho7diwq7O3t3bFjR6Rcvnw5jeECw+DBg+PvN6ntzooTq67TDK22qpJm0SHGUNdsdyinMbvwpiO0CQtdunQZOHBgzZo1xadRujYtWLAA44LaivzDhg0zapN+A9mePXtgIbp8gF27dnXu3Bn/bosWLbIzxjQHtcnOGKtevbq4+1snNjbWz8+vcePGmtKQnTt3oqroMV2brIYg/oiFQaLtjRo1WrNmTfxfZqQ2EeIoqhFRm+KAA5DxngCcrOfPnx+igzPFzZs3586dWxwrf/zxR6RjCsRBCscynDSXKlVKzFUVKlTAGb/41ADHMkyiB2zs2LHjnXfewVFSfBkKvP3227AoHOz03W3ZsiVDhgwDBgzAXBsdHY2avPLKK/Xq1cNeMEnkypXrk08+EbVq0qSJmH1RMRxnJ06ciOUffvgBp5si3aqGRYoUwdQidnfv3j3MBKihZvtkBGftH330kbN2tHr16vXr14sd6SC9YsWK6KKNGzdi75jbcBzPmDGj3iei98RZu/3aZDVMYNWqVerZv2nDtWd7x5k6FjA6mu3WFlRYqINpi8DWrVsx0B988AFGDUqB0rJkyZI3b170kmb7klT27NnFhSK0KMF+k7RJc1KcWHWdZohYqyqh+aYdYgx1sHDhQvHpm1VH6doUGhpawIawEF2bpk6dmidPHnGlBD0A//Py8tKeVb5169bYLzwSCtKyZcs4Rdu4evUq9NTOGEO1HdImO2MMSgS/QXMuXLig2T4ohFIjAIQ3i8JbtWqFUUOBkDnh1ro2WQ1B/BGL/5cEHwgnoDYR4iiqEVGbEgD9gFNenGT7+/u/++67OCKLdGgQjpsvvfQSZikc3PWnPeEoht5r1qyZFvdxlygBJ50hISF6ybt370a6+IKSznfffYfSkA7BwtSI46/+NBdMliVKlMC8glm5Tp06YlbWbF8mwgSTL18+1KRTp05imtQsatjHhsig2W7BQZmY47NmzYrje1RUlOakHVl9nerSpUuY/zCNiW6BECxdulRfK3qvfv36aRzRJs16mFB/6QvhAtOGi71DQYoVKya+443OF9/x1qxbpNmudtSoUQPbpkuXDqPWvHlzOEHfvn1v2O6nEd+qQ+egKP1qk2bRb6o2OSVO4uk6Y8SaVmngwIGmHWLcULPpnbhP2aqjdG2CNGAXGCaRrmsTCsfwwc5RNwgBXBNNgDGIynfo0AGrICVolLhB0Ap7YgzVdkibNLtjDOoMH0pjCwbQsGFD8dAm7dko9OrVCyKFwKtZs6Z4iLmuTZrFEGjxRqw+BAlCbSLEUVQjojbFBw6sxofwjho1qkGDBob1/5zg4hgtXRjH0d/qUyoj+/btw8FRf6KPkVu3buE81bQQ7E6dM3BiivymN8ZKNTx48CC8Ryr54sWL6q9AJHFH8YMSUI4uZEbs7D0j8QwTpiLoi75KQm14IvauExkZqXfO9evX+/fvrzcQooBV+ocsRhLsNyfGiRVSqxOsko6+If5iRk/wA017wKBIX0bTVQbpVvfCq7g2xmB7SMdfKV0AWxKXowTo8DSGG+BEiukQJDFiqU2EOIpqRNSm+Dh//jzOWefPn4+j1aZNmwoUKDB9+nQ5k+Pg6B8aGoqTVP2b2MkJTu6Dg4PlVE8mnmEaOHCg+lAlT8G1ceIQc+fObdeunZzqJKQrQC7h+cUYFGr27NkZMmSI57YwZ0FtIsRRVCOiNiVASEiIn59f7ty5y5UrN2nSJPX8LxHgJBiH3UaNGhkfzJ1sXL58uXr16tHR0fIKT+Z5DJPLcW2c2A9iyd/fX/3ivbOIjIysWrXq8/6ZvwR5TjE2duxY4xf9nivUJkIcRTUiahMhhKQKqE2EOIpqRNQmQghJFVCbCHEU1YioTYQQkiqgNhHiKKoRUZvcAtPvWOmcPHky/gxJ5OrVq0eOHLF6svDz4NatWydOnDD9Rl6ygS7Vn0IZDzExMaZ3sSR9RFCyaSFI1J9X6Vxu37599OhR8aV3ezCtXuK4cuXK4cOH1S9sWu3CKp0kBWoTIY6iGhG1yfXE/0WhAwcO6L+6asqGDRuMX412iC1btvj6+qaxPVYqXbp0LVq0eN433u7cubNatWrY4wsvvIA9durU6c6dO3ImO0h0q40bomPV30WRUB/1rhke8yOl69hTvRdffBGF7Nmzx5gYHByMRONvtDkFWEujRo3Ek4RQfuXKlcWvSmvWVU2wjXaCEffz80NRmTJlSmN7KJdepvF5RUas0hPEqi1EQG0ixFFUI6I2xeHcuXP68+WSjXi0KTY21sfHZ+vWrfIKA9JPg9nPpk2bMJMFBgaK36n4/vvvMbPmzZvX/kfjOMq2bdsyZsw4aNAg8RzIw4cPV6hQoWbNmnI+O0h0q40bbt++Hd1rejFJx1SbHj58OGPGjHiuz8VTvaioKPGlM2hT1qxZBw8ebFzbuHFjDIqztEnfF4pFP588eRKNxfi2bt26cOHC4llQVlVNsI32AGdCB3br1k08lOjs2bPt2rXLli2beAKklR6hYtOmTdMf4Gk/elvgfKY1t0pPJVCbCHEU1YioTXGQfpNOs008oaGhc+fO3b17t3F+PXPmzOzZs1etWiVdLDl06BDSZ82apT/6D9MPToJxsP7mm28OHDig2b5YjgKXLVsmvliua9OWLVuwofEZMGvWrJF+wlPadu/eveKpzcdsGH8ZBk6AFCzs37/f9LkypUuXFr+lqvPo0SN4TOfOndFq1Fl/xOKFCxcQD3o2te1SG7FHowVinhY/beHt7f3mm2/q6eDo0aN58uTRq4fWLViwACXrn+ZER0ejZFQsLCwMDRctMrZaZFOrZNob6oavvvrq2rVrxbJpR5lqE+qDWokPGdUIUfciQDcOHToUYgod0Wza9PrrrxcvXlzPAH/Nnj17gwYNjNqkRpToE+w9JCQkODjY9Jv/0r7gZwsXLtTXIuRKlSqF9hqrKg2i3kbTIRDs27dv5syZERERN2/e3LFjh56ugxGXntKOLqpdu7b44TYR+VAolAzd0X90T2+geKsOriCe/wXEG7q3d+/e0oBapacSqE2EOIpqRNSmOEjadO/evfLly+M0HZM9zs6bNm0q0r/++ussWbIgZ0BAQKFChfQPenr06FGgQIGuXbvi5D5dunTGXwytUaNG/vz5O3bsiCNX5syZcbpfp04dZMahX0weVatWrVWrVv369bGhPk+3atVq2LBhYlmzHfWkbYcMGYJpoGLFil988QWmukyZMolf4Vi5ciVyirnB9McuUOc0hl8V1RG/BIKS0xgeWzxhwgT9J0FM2y61cdSoUdAvvUxMnH369BG/NGdUGYmPP/4YbUHJaB3Kgehoz2ZW7AuFo3/Spk27ZMkSY6s1iyqZ9oa0oWb7vVj0p1g27ShTbdI/wDKNEHUvmzZtwl5QB5S/ceNGYVfIA0HBX11JoTht27bVf2xEs4go0SdVqlTB7pAZJaBMkV+z2Bd6z9fXd+vWrdJdU8aqSoMo/d6INASa7WeJIXkdOnQoV64c9Ej9aVsRRZAqKR2ig7bAtETJCJW6des2atQoR44cIjyMV6FMB1dL6H9Bs0lwr169kAJLW7p0qX6zlFV6aoDaRIijqEZEbfqHixcvfmQDs0LZsmXFMk5eV69ejSlE5MGs36RJk9u3byMzjuPix9vB6NGjfXx8NNs5MTLj8C3S+/Xrh+Oy9kwpBg4cqNk+BMyQIQOKFXlgRe+//76YJHQ9gmGIDTHDYSLBibhIx37VbbW4H7KMGzcub968R44cyZMnz1dffSUScRKPOohlHfgE5j/1puxt27ahMlCWNGbaZNV2YxsxD124cAHzonAyiAU22b179+bNm5FHrYng8OHDqI/+k6iYkkuWLBkTEyM6Z+jQoSIdPiHu9NJbbVUlzaI3pM+k1qxZkzNnTiETph0VvzaZRohm2Aui4tVXXy1SpAhUUros9KLtN9qgHfpDwGEPISEhujZZRZTok/79+4v0oKCgV155ReS32heGEv2GrRBRkK2pU6fqQ69XVRpESZukIcDgpk+fXkjMw4cP/f39VW1au3YtNpR+KQWgTKQjJETJAwYMEOmBgYGov2bQJqvBted/QRAZGQmLgthBao3KbpWesqE2EeIoqhFRm/4BM9ObNnCqWqxYMbG8ZcuWkydP4qiNyQyTrn6vtLhCsOwZOBKhu3DqLNbevXsXXYeJFlv5+flpz2Yjcc49b968fPny/d9ebd+l0p5NEvppNE6vxeRx7do1MW+JdNNttbhTBaZ/TGmos34FxYolS5agcPX3HIQwobZpzLTJqu3GNgoCAgLEBDx37lzRHPQn8ljdODVx4kTjvItsyIz+F52za9cukY75XlzH0lttVSXNojekmfXYsWPIf8N2r5Up8WuTaYRohr0gD0bN29t75syZkqQKbYInvfzyy5rt+4y5cuWKiooyXm3SzCJK9In+o/fiMh6cKZ59CRDn06ZNa9euHXaNGopWS9qkD6KkTdIQjB8/vlKlSs8K/idoVW2C8WND9TPEgwcPprEdYUTJ+vcZsYC3kFddm6wG157/BX0VehhdlzVrVihygukpG2oTIY6iGhG1KQ7qvU04q+7Ro0ehQoXQJzipvXfvHjbHKXvLuGDqwoG4V69emGVhCZ06dUKir6+vFvc37adMmSLdq6Qpt4TPmDFDzECYCNMY3MV0W02ZKsaMGYOtMKsZsphw4MCBNAZX08HeM2fOjNoad43ShDZZtd3YRgEmPJzHQ1zq1as3btw4zXYtB3mMHycJgoODUUJQUFCNGjX0RMz6yLx161apc/RfpNdbbVUlkV/tDam7hHPo+VXi1ybNLEK0uHt5+PAhpvnKlSu/9NJL/fv313VHaBM8KXv27Lt378b4ilvNdG2yiijRJ/qtzaIy4rY5031dv35d6naMhf6DHpI26YMoaZM0BMOHDxeXvgRLly5VtUn0rX4FUWfx4sXGD+nENxK0Z+06fPiwrk1Wg2vP/wI0FA1EEJYsWXLy5Ml6d1mlpwaoTYQ4impE1KY4SNr0ww8/6CfZO3fuzJkzJ87jcdaLBf2WCMwuGzZswHS1YMGCbNmywXVE+rBhw1Rt+vbbb5FH33bdunWTJk2y0iZMwEjfv3+/SDfdFguYP/SpAlMOpGfo0KH4m+DP0WMybt++vVhGaWPHjkVbvL29O3bsePny5TSGywCDBw8W2mTVdlWbHjx4gJw4oc+UKZN+q2+VKlUw/et5NJtzYMOwsDDIE8xDv/NGpKMzTedszdBqqyppFr1h7C7Ndh9xGrOrbjrxa5NphGjKXgTI2blzZxS4aNEi7Zk2YaFLly4DBw6sWbOm+DRK1yariBJ9ot+XtmfPHliILh8C477Cw8PTpk0rPVoiICBAfMynV9UhbYKcQbz0yzyjRo1StQlUr15d3P2tExsb6+fn17hxY01pCDoQ9cRY6NpkNbgJ/i9AItH2Ro0arVmzxvhNDqv0VAK1iRBHUY2I2hQHHFWNNzrgHDp37txi3sLcnytXrpUrV/7444/58+eHSeCwiwN3t27dSpUqhfl+6tSpefLkESevOOJDAry8vLS4sxFMCJMNBEWzffhSuXLljz76yEqbQJEiRcQUa7UtlitUqBAUFHT//n1MJ1h+++23NdsNKBUrVhT2sHr16vXr14tCjGzduhVTyAcffABJglWgwCxZsuTNmxcqEB0dnT17dnGVCDXHqbnQJqu2q9oEUJOiRYtiitJTtmzZkiFDhgEDBmCP2AW6+pVXXqlXrx5Kw6yP7v3kk08026WmJk2aiD2aztmaodVWVbLqDX1DUeDChQvFZ2SaRUehi9DnBwyg83WlMI0QTdmLkatXrwof1bUpNDS0gA1hIbo2WUWU6JPWrVujRdBTKEjLli2Nu9AR+0JvoPmo0saNGxFF8CdMnxkzZhRfb9Sr6pA2IT+6fdCgQTdv3ty8eTM6QQ/aVatW6VeYoETwGzTnwoULmu1TQpg6Qkv0gCi5VatWCAYUCJODsuvpqInV4Cb4v4C26Ff1jFilpxKoTYQ4impE1Kb4wMG6T58+mTNnxsyKSe7dd98Vl0N27NiBSeKll17CNImZTDzqCYd4f39/nBxjUsHhG84BC8HxXZqNtm/fXqJECdhJ1qxZMYVERUXFo019bIhl02012x3B2LxZs2YDBw4sVqyY+DI2KiO+jK1ZfEFMsGvXrho1amDzdOnSQWiaN2+Oybtv376okvhKHRqIcvSrTZpF2021affu3UgU32XT+e6777AV0tOmTYs9YkLVH88DqULrIArYb506dWBvmrU26a3WLKpk1RvGDTWb24m7iTWLjoI2pYlLWFiYrhRWESLtxRRdmyANqDy2Fem6NllFlOiTDh06YBWkBH0FPTKWrAKlg2ZBlUQToLMQPrFKr6pD2oQFHCJ8fX3RdlQSlYeZiQyoj/GhAzBy+FAaW4yBhg0bioc2ac8Gt1evXhAphHTNmjXFE8x1bdIsBldL6H/h//ZN4kJtIsRRVCOiNiUMJiqcoaoP38NchdlIutR/8eJF9atDKsim/tCEysGDB/Plyycuk+io26JuUh6HiIyMPH36tLg0gsr3799fKAumc6SbfkPbtO0S+/btw2ynP/zJyK1bt1CyaZ1RbIISIJBabU+VBPqG+It5N8FPMxPENEKSOCg6akTpHoN0q1vsTcEQo9vF4BpJRFXhWMbncY8aNapBgwZiGboD89ZXCdBFSBc3fqnAlsTlKAGGMo3h1jqRYjq4Tv9fSNlQmwhxFNWIqE3uTps2bYKDg+VU9wbTeWhoaJ06dfSv1rsnc+fObdeunZzq9kiXf1zC+fPnM2bMOH/+fIjLpk2bChQoMH36dLFq4MCB6vPA7AcKNXv27AwZMsRzwxlJHNQmQhxFNSJqk7tz+fLl6tWrR0dHyyvcmNOnT2MebdSokfiMzD1Bl/r7+6tfj3d/IiMjq1at+rx/PTBBQkJC/Pz8cufOXa5cuUmTJqmXghLH2LFj9W/5EedCbSLEUVQjojYRQkiqgNpEiKOoRkRtIoSQVAG1iRBHUY0olWqTsz5QIIQQjwAHvcmTJ8tHQ0JIvKhGlBq1ae/evaGhofJBhbg9UVFRxm9XeRbi529TABcuXBDf9vd0Hjx48IONnTt37tixY+3atRijBQsWfGrjww8/7NevX48ePdq0adO6desqNkqUKFGsWDHTL4e6P2jg/v375aMhISReVCNKjdoEwsLCviCewOjRo/v06dOiRQtfX9/ixYsHBgbKOTyBTz75BJXHub68wgPBEKAt3t7ezZo169Wr1/Dhw+Ucbg+qDfspWLBgWRtVq1b19/evU6dOw4YNGzdu3N4GhOmtt97q27cv/GngwIGjbbz33nuVK1eWi/MEIIKrV6+Wj4OEkIRQjSiVahNxW3799ddjx47NnTu3d+/ePjawMGbMmKJFi0ZERMi5PQQIEybpo0ePyis8EwwEtAMu2K9fv9q1a5cuXbpjx47jx48PDw+/e/eunNstuX79esuWLd9444179+7J66z5zIacSghJuahGRG0iricyMnL9+vVwo2bNmpUsWRJ/sYwUpGPtv//97wYNGsybN0/ezEN48uSJl5dXr1695syZI6/zWDAcGBQMDZY12xPDp0+f/tZbb1WygQW8RSJWyVu6DX/++ScqWbFixbCwMHmdBW3atNm3b5+cSghJuahGRG0iLsD0khLeIhGrjDkxt3Xt2nXkyJHGRM9i1qxZ/fv3X7du3dtvvy2v82QwKBgaDJCUfvfu3fDw8PHjx3fs2LF06dK1a9fu16/fggULTpw4IQ2uO3Du3LmAgIB33nknJiZGXheXX375pVSpUvgrryCEpFxUI6I2keTm0aNHZcuWrVu3rvGSkhVWc7OnAFHw9fW9ePEimokFebUnY6fR/vDDD6tWrQoKCqpVqxbG/f79+3IOV/Pbb7+NGzcOo7Njxw55nYF9+/a1adNGTiWEpGhUI6I2ERcwffr03r17y6kKxk+CPJRly5b17NlTLGNijt8RPQ77Pz/9448/mjVrtnTpUnmF23DkyJFq1aoFBgZaxdtnn33WsWNHmGJISMhPP/0kryaEpERUI6I2EReA8/tatWrt3r1bXmEgIiLCz8/PU24xNuXPP/+sUaPGsWPHxNu333573bp1cbN4PBggDFOCd+t//vnn3bt3l1PdDAgTtAnyBIWS19lubNq+ffuGDRv69+9ftmzZli1bwv6vXLki5yOEpCBUI6I2EdcAZ4I5wZ/kFTbOnDlToUIF/JVXeBSQpHbt2ulv58yZM3r0aMP6FEKCg3X8+HEfH5+oqCh5hVuyY8cOX1/fcePGGYNTurHpjz/+2L9//7/+9a+qVauePXtWz0YISWGoRkRtIi6jd+/eOF+XU+2+gOH+NGzYcNeuXfrbo0ePNm/e3LA+5RDPpcGff/65Ro0anjWaMTEx77zzTkBAwLlz50QKb2wiJHWiGhG1ibgGnK9/+umnJUuWlG73sf92GTcHwgRtMqb8+uuvaK8bfpvMKVjdiBYYGAhZnDFjxu+//y6tcnPCwsIqVqwIs//zzz8demJTVFRUr169Vq5c+fDhQ3kdIcSjUI2I2kRcwPHjx+vXr//mm2+OGzfOeG+4nV/O8gjatWun3skEgUgxD71UUb/2GBERUaNGjUuXLnXv3r1evXqm9wy5M/fu3XvjjTdatmwZEBBg/xOb/vvf/0K5PvjggzJlyrRp02bmzJnXr1+XMxFCPAHViKhNJFnRNG348OG+vr4bNmx4qtwbrs67HsqxY8egC2pDRo8enZIeeikhWW9UVJSPjw8UWbwNDw+vXLnykCFDEnxCkruxaNGiV199NRFPbPr999/37NkzYsQIPz+/8ePHy6sJIW6PakTUJpJ87Ny5E8KEadX48Gj93nCrT3k8kZ49ey5btkxOtd0knsIeeilh/Iy1e/fun3/+uXHtzz//PHbs2EqVKnnWrU4gOjpaTnKQlBHYhKQ2VCOiNpHk4/jx4ydOnJBTbfeG9+jRw+qeYo/j4sWLsEPTe5hS3kMvVcQd/f369WvWrNkff/whr3769Pz586ZhkAqZM2fOt99+m3QnI4Q8J1QjojYR1wOZiP8b7J5F//79Z82aJac+I+U99FJFPJKAN/QkyObNm/v27VumTJm2bdvOnj37xo0bcg5CiEtRjYjaRNwCT3moT4LcuXPHy8vryZMn8opnpMiHXqp43A1MLuS3337bs2fPsGHDoNT169f/66+/5ByEEBehGhG1iTwXNE3T7wVOVQQFBU2ePFlONZBSH3qZRA4dOnTv3j05NfVx7do1OYkQ4jpUI6I2Eefz3Xff4bzZ/ufcpBgePnxYokQJb2/v2rVrd+jQ4b333hs2bNiXX365dOnSdevWHTx48OrVq5s2bUqpD71MCvPnz/fy8po3b5769UNy4cIF3gJFiEtQjYjaRJzJrVu3unTp0rBhw9R8z++DBw+gR5AkqNKSJUs6duwIeYJCQaSgU5CqYsWKmd4wnsq5ceNG586dU3nwmHL69GnEj7gFatasWbxpjJBkQzUiahNxDr///vvXX3/t5eU1Z84c0+9PpU5iYmLKly8vpxJrxKXK4cOHG59SQZ4+ewoUesbPzw/+ffjwYTkHIcTZqEZEbSLOAbNd9+7dU/x3xBzl+vXrtWrVklNJvECYRo4cuWbNGnkFecbp06dTzLcoCHFnVCOiNhHyHPn+++9btmwppxLyfNiwYQN/CI8QJ6IaEbWJkOfIjh07unXrJqcS8hz49ddfxQ/htW7desaMGfxSHiFJRzUiahNJDHy0jJ2EhoYOGDBATiWJgr9PYg+///773r17g4KCqlSpUqtWrdmzZ8s5CCF2oxoRtYk4Bg7KOJFt3769vIKYMX/+/DFjxsipJFF07979gw8+ePDggbyCWHDu3Lldu3bJqYQQu1GNiNpEHODYsWMBAQG89dt+Dh06dPDgQTmVJIr//ve/kydPrlChwuLFi3m9Mylcvnz5/v37ciohREE1ImoTsQtN08SPP2zatEleR0gycuXKlfbt2zdv3vzs2bPyOmIfs2fPLlu2bMuWLadPn37p0iV5NSHkGaoRUZtIwpw/fx7CFBQUxEfpEDdh9erVlSpV2rFjh7yC2Mcff/xx4MCBMWPGVKtWrXr16ljgzwgSoqIaEbWJJMx///vfU6dOyamEuJTHjx/zYetO4Ycffpg+fTo7kxAV1YioTYQQQkz47bff7t69K6cSkppQjYjaRAghxIRz5855eXk1adLkyy+/xLK8mpBUgGpE1CYSB03TFixYIKcS4iGMHDny0KFDcipJLH/99dfhw4fHjRtXs2bNKlWqoHvpTyRVoRoRtYn8j/Xr1/v6+uLI+Pvvv8vriOOgG6dOnSqnkudJREQEZveBAwc+evRIXkeSxrVr12bMmLFt2zZ5BSEpF9WIqE3kH27fvt21a9cGDRp8//338jqSWO7fv+/j4yOnkufMf/7zn3HjxlWsWDEkJOTvv/+WV5PnwJMnT+QkQlIEqhFRm1I7f/zxx6xZs7y8vPAXy/JqkgQuXrwYEBAgp5Jk4cKFC61t3LhxQ15HnE3Tpk0R6p999tmJEyfkdYR4MqoRUZtSOw8ePOjbt++dO3fkFSTJHDp0iL9C40L+/vvvkJAQ/hhL8nDs2LHJkye/9tprvr6+gYGB/FEXkjJQjYjaRMjzYsuWLb1795ZTCUnR3Lx5Mzg4eOjQofIKQjwQ1YioTYQ8L0JCQnDaLacSklrhLwkSj0M1ImpT6oK/jpKczJw5c+LEiXIqcTV79uzhbXwuYf78+bVr1/7000+PHj3Ku/WJR6AaEbUptYB5Yvbs2RUrVoyOjpbXkefDqVOnjhw5IqcSl/Lnn39269atQYMGx44dk9eR58/p06e/+OKLhg0b4lg0ePDgiIiIX375Rc5EiNugGhG1KVVw4sQJHKe6du16+/ZteR0hqY8NGzb4+fkFBgbGxsbK60iyEBkZuXDhwk6dOh0/flxeR4jboBoRtSmFo2nayJEjfX19161bJ68jJBXz5MmT0aNHe3t7h4aGyusIIcSGakTUppTML7/84u/vP2zYMN7SRIgpZ86cadWq1bVr1+QVxHU8fvy4du3aH3/88aFDh/788095NSHJiGpE1KYUzr179+QkQghxby5cuPDVV181a9asXLlyAwYM2Lhx488//yxnIuT5oxoRtYkQQoib8tNPPy1fvrxLly6DBg2S1xHy/FGNiNpECCEy/DVrQshTMyOiNqUQnjx5MmbMmMjISHkFcRG//PLL+PHj5VTiCfznP/+pWrXqggULeGONmzNhwoR//etf+/fvp+aS54RqRNSmlMCmTZv8/Px467dbcefOHX9/fzmVeAjXr19//fXXmzRpcurUKXkdcRuuXLkyffr0Vq1alS1btl+/ft99992///1vORMhSUA1ImqTZxMZGdm9e/eAgAA+u8/dOHv2bOPGjeVU4lGsXbvWx8cnKCiIJyRuzoMHD0JCQnAwfPXVV588eSKvJiSxqEZEbfJU/v777zlz5nh5eX399de8QO2G7Nmz54033pBTiacBYRo+fLivr29UVJS8jrgfv/32m5xESBJQjYja5MFAmG7duiWnEvdg3bp17733npxKPBM+2MmjOXfuXFBQ0N69e3mGSRxFNSJqEyHPhcWLF48cOVJOJYQkO/fv358xY0br1q3Lli37wQcfhIWF8YM8YieqEVGbCHkufPXVV59//rmcSghxHVFRUStXruzZs2eZMmX4ozrEHlQjojZ5Bnfu3OE3RDyLM2fOXLhwQU4lKQX8P44aNYo3PHkov/zyC2/zJ/agGhG1yd35448/Zs+e7eXltXfvXnkdIcRFYN799NNPK1SosHTp0r/++kteTTyT6dOn8xYoYkQ1ImqTW3PixImGDRt26dKFt34T4oZcunSpbdu2LVu2PH/+vLyOeCD6LVD9+vXjLVDkqZkRUZvcFE3TRo4c6evru27dOnkdIcSdWLVqVaVKlcaOHfvrr7/K64gHEhUVtWLFih49epQpU6Z///7yapKaUI2I2uSm4D92+PDh/PSdEI8gJiZmypQp/LQuhfHLL7/wOmIqRzUiapObwg/XCSHEPTl+/Pj+/fv/+OMPeQVJcahGRG0ihBBCHGDTpk0tW7YsW7Zs//79N2zY8PPPP8s5SEpBNSLnaNPjx4+/+OKLSZMmfUo8gYkTJzo0vkmE4ZGCwbBicGNjY+VRf54gehHDclUIeUbyhOVPP/20fPnyrl27zpgxgzHpEezbt08exYRQjcg52jRlypTIyEiNeA6hoaHffvutPJDPB4ZHygaDiyGWR/25ERYWhuiVK0FIXBCWX375pRw9zwfGpKewdu3a1atXy+MXL6oROUebIHFy7Yjbg1GTB/L5wPBI8SRbLIHPPvtM3j0hZkyaNEmOnucDY9KDmDx5sjx+8aIaEbUp9ZJsP/3B8EjxUJuIG0JtIiqOXoNUjYjalHqhNhFnQW0ibgi1iah4hjZFx0Sv3hT6zqC+NevVKlexfMGCBctX9KpTv86HgQO37dgWGxsrb0CSBTfRJoZHCsB9tAkBsyFi4wdD+tUKqF3+/8KpPJaRgnSGU6rCTbSJMelWuLs2xcQ+Xrx2qX+dalVr+b8z4r2poV8v3LU07MxG/MUyUqrW9q9dt074lnB5S/L8cbk2MTxSDG6iTWEbv6vxWg3LcKrlj7XII29GUijuoE2MSXfDrbXpXtRPvQb0rlTFe8yccQgUqxfW+lTxDRz2UUxMjFwEeZ64VpsYHikJl2sTwqP/kAHedoQT8iAnwyk14FptYky6J+6rTZgUm7Zr1rB1oxWHV6uBIr2Qp3GbJp27vMG4SU5cqE0MjxSGa7UJgdH29Xb2hxNyIj/DKcXjQm1iTLotbqpNMbGPew3ojThYc2q9GiKmL+Rs2raZ+BU2kjy4SpsYHikP12rTh4EDHQ0n5MdWUjkkheFCbWJMui1uqk2L1y6tVMU75FDClm18IX8V/yoRERHGosjzw1XaxPBIebhQmzaHh3tX8UlEOGErbGssiqQwXKVNjEl3xh21KTomulqd6laf5n57bO3k5VM+njdh3taFeBt6cp1x7SdzJ9RvUN/4zYKYmJhHjx7pb3WQ+PjxYzk12bl169aJEyfu378vr/AEXKJNzyM8gKMXt69fv46Bi4qKMo0uI6YZTBOTiEfHkqu0CcFQp16dxIUTtsK20veYEh1RKig56YXoOCU87A97Hafs11W4RJueR0wm/dt29o94gnh0SGjuqU2rN4VWre2vhgtefUd/kOOlHGme8apPufQZ0k9a+oUxT526dXbu3KmX9uKLLyLnnj179BQQHByMxJ49exoT7WHDhg2bN2+WUxMFKlmtWjVU44UXXkiXLl2nTp3u3LkjZ3JvXKJNzg2P3Llz6/kxEL6+vkuXLtXXWrFo0SIMWZYsWUJCQrDh8ePH5RzPwJjqGfTgMSY6hRQQS67SJnSdf+1qaizZGU7Y1hhOWtyISps2bcmSJceNG5e4SWvChAlVq1aVU+1AOkw5KzzsD3uBs/brQlyiTU6PSfT//PnzjSmO4qxDVgoICc09temdQX3fHfGeGjG9h72DYnPny92p7xtvffR2nWavod+RMmjSUGO2wWOGBgUF6aVBm7JmzTp48GA9BTRu3DhTpkyJ0KYyZcrMmTNHTnWcbdu2ZcyYcdCgQTdu3MDbw4cPV6hQoWbNmnI+98Yl2uTc8MAkh7c4HBw7dmzHjh0DBw7EVLdw4UI9gyl16tR5//33sfDw4cMZM2bE83t5xgx68CS4lUOkjFhylTYFjvgoKeGEbVGCoR3/iyhw6NChKVOmpE+ffvbs2cY8dpJobTIeppwYHvaHvebU/boQl2iT02PSTbQpZYSE5p7aVLNezamrv5YiZvnBbzO9kClvwbwLdy/TE7sP6okdDfl8mDHn7LDgRo0a6aVBm15//fXixYvrKbdu3cqePXuDBg2M2oQDHA5ts2bNwliKlKioqNDQ0Llz5+7evVucLO7du7dIkSIYdUyxIs+ZM2ew1apVq3RlxgEFp3o4oHzzzTcHDhwwLQd4e3u/+eabYllw9OjRPHnyoBri7enTpxcsWICSb9++LVKio6NR8qNHj8LCwlCaXge1fKQg54MHD0SGCxcuYCz0EvAX+dHSixcvIhGVxLJ0Nc6edmku0ibnhgcmuWnTpulvwXvvvVeoUCH9wxG1K/DP/+qrr/bp02f79u0YDnTL/fv3rUZHz2AMHj1R5EnKWGtOjSXNbBdJDCe1A01jyVXaVK9BQFLCCduiBL00zSyiEG8tW7Y0bbU6NJrtODNz5kx0sq5NVkMgQCEYr2XLlt29e1dsbjxMOSs8TMNe5N+3bx8qHBERcfPmTZx7iERn7VfgqrB0iTY5PSattEkdAqt0ozZhgDZu3Hjq1Kn4hwDhERISEhwcfPnyZZEhwZDQlF0nZ0hoSlSYhoTmntpUrkI5Y2SIV+CUESizz8i+xsQle1c079JSyrzk/63w8fHRS4M2oc34qx9ocJ7Utm3bNm3a6NrUo0ePAgUKdO3atXHjxvB3nKjdu3evfPnyEGEMc+HChZs2bYpsQ4YMQTkVK1b84osv8Pbrr7/OkiULygkICMBEi2MHEq9cuYJ61qhRI3/+/B07djQt5+zZs8gTbn3j3scff4wdoWSc3qEcHKeQCEPHVtgXCq9Vq1batGmXLFliWj7CAjnPnTsnStMPvqKEFi1a1KtXz8/PL0eOHIGBgdgcBolWo5dEfnvaJXK6RJucGx7qJHfkyJE0zz7VNe0KREvOnDnLlSvXq1cv/WhiOjqa4XBjDB7jMSiJY+3EWEK66S6SEk6mHWgaS67SpgqVKiYlnPAWJeilaWYRVb16dfSn2mrToRk8eDBO6jp06ABHQbSIrrYaAoC2ZM6cuXXr1igEBzHMOsZIc2J4mIa9ZqgwVmFeLFOmjJaCwtIl2uT0mDTVJtMhsErXRxznk+3atcNAQ5HjH4IqVapgpFAOSoNmJRgSmtmuky0kNLOoMA0JzT21qWixoqEn4tzmhlevwLdR5rhvPpXSTV4nN7788st6aRiGFStW4L8ap18ipW7durDgNs+0CYKJTsHhRqzt169f7dq1V69ejUSRgvFu0qSJkF/96jdGCF28bt06kWf06NFiMhYdPXDgP98ChSOblrN582bkQU6RLnH48GEEx6ZNm8RbHJVKliyJYBVjP3ToUJGOyiO2TMuPP3rER1SPHz9GtPn7+4vLKjgUIqo0u9sl1rpEm5wbHuokh5MkFLV8+XKrrgDoz8mTJ2uGo4np6BgzaIbg0ROTPtZOjCUsmO4i0eFk1YGmseQqbSpWrFhSwgnbogS9NM0WUf379w+3gdPW3r17oygMgdRq06FBIo7jOHtGCk6aK1SoEL82IT1DhgwYNZHeqlUr8SGaHmnODQ817A8dOpQ+fXqhHTg1RwAIbXLufl0Yli7RJqfHpKpNVkNglS5GHKeUsAf4kLgYE/8Q4L9ApGMsXnnllfhDQrOo0tWrV5MhJDSLic80JDT31KbyFcurrt1j8Fsoc8KiyWqUSK9V+9ZIV5ugTfAkMVliGHLlyhUVFaVrk+Du3buoMGILUgUhPXnyJDoRy1999dX58+f1bPrxSFzBWvYMBD2qBwEXHa1/y920nC1btiDPRdulQpWJEyeKQ49AhALKEWO/a9cukT516lQcVU3Ljz969MuSOAkeMWKEWIbmi8+Y7WyXwCXa5NzwiEebrLpCM5s/TEfHmEEz06akj7UTY0mzCNdEh5NVB5rGkqu0qaLZmb394YRtKypXm9Dq3DZwgMY52OLFi7Vns7LeatOhGT58eOnSpfXE8ePHx69N8+bNy5cvn55f/2RZjzTnhoca9qhhpUqV9BJwvi4KdO5+XRiWLtEmp8ekqk1WQ2CVLka8Ro0asGR9WOMfAmwl0sV1pkWLFsUTEppFlXAKkQwhoVlMfMeOHVNDQnNPbaodUFv9ZHfQpKEo870x/dQokV6LNi6R7m2CNsGTsmfPjjGYMmVKt27dkK5rE441UE4E1quvvtqpU6eWLVv6+vpqtrudevToUahQIewXp3H37t3TDMcjVDhHjhwt44L4EP97p06d0iuglnPp0iUsb9y4Uc8jCA4ORgmQYkSnnihm8a1bt4qx12/Kw2Rfvnx5zax8KXr0g69UAvbyySefiGUsiJ3a3y7NRdrk3PBQtWn//v0oCn+tukIzmz+sRid+bUr6WDs3ljSzXSQ6nKw60DSWXKVNDRo2SEo4YVuUYGiHSUQJpFabDg16HufBeuLcuXNNtUkfAhzNypYtq+fX0SPNueGhhj08D16ol7B06VIx8zl3v5rrwtIl2uT0mFS1yWoIrNLFiGOsYcmYLsXa+IdA/8aA2Hb9+vXxhIRmUaXQ0NBkCAnNYuIT0iaFhOae2vRh4ED1ewSL94aIG+IW7FyiJ648Etq0U/OxwXGebzFq/L/E5TiB0CYsdOnSZeDAgVBLcSFO16YFCxZky5btzJkzIv+wYcOgTT/88INuuDt37syZM+fMmTOxjIOUOB5BSJGoX7hDZGzYsOHhw4fS/55VOVWqVIGiiXQBggAbhoWFIYwQCvozpUQ6qmd6TDEt//Lly8h54sQJkT548GD7o8fOdglcok3ODQ91kuvTp0+xYsXQ/1ZdoZnNH6ajY8ygGYJHT0z6WGvOiyXNIlwTHU5WHWgaS67SJgTDB0EDEh1O2NYYTppZRAmkVpsODc6PCxQooCeOHj1adLXVEHz77bc4duk9jCMbpnnNEGmaU8NDDft58+YVLFhQv8o1atQo/YKBE/frwrB0iTY5PSZVbbIaAqt0MeJHjx7du3dvhgwZxBwa/xAcenaj9549e9KlS3fr1q14QkKzqBJ2lwwhoVlMfBcuXFBDQnNPbdq2Y5vpUyveCXoPxWZ+MXODdo269u/W9q0OBV/+xzTf/LCHnmfDuS0BAQHGp1bo2gRvLWBD/JPr2jR16tQ8efIINUYHYeS8vLxw2oTDn3ApnDnlypVr5cqVWK5QoQIiEiL8448/5s+fHwMTGxuLvu7WrVupUqUw5NL/nlU5W7ZsQfANGDAAIx0dHR0eHv7KK6/Uq1cPpSG8kE2MK3bUpEkT07EXAWRaPgrMnj37uHHjNFuLChcubFqCafTY2S6BS7TJueGB3vvoo48OHDiwf//+zZs39+7dG+OyatUqzborNLP5w3R0jBk0Q/DoiUkfa815saRZhGuiw8mqA01jyVXahGCo9VrtxIUTXthWfW6TPdpkOjQ3b97EsXvixImabWLQu9pqCHCGDWsZO3asZrvNoHLlyghmzRBpmlPDQw17bIUhHjRoEGqOfx+0XdcmJ+7XhWHpEm1yekxCmxAkBwxACEyHwGpojMexgQMHFilSBDNm/EPQunVryOiDBw8aN27csmVLLd6QsNp18oSEZnG0Fx7mGdoUa/2M1CGffVS4eJE0z8iWM3vn97uuPbVBzzBn6dwGDRqIYRDo2oQ+femll959912RrmsT+svf3x9HK4wHDjfo9CxZsuAY1KdPn8yZM7/88ssoAVuJ+RIHI+y3WbNmWN6xYweOESgTYwbTOnLkiKYcHFET03LAd999h63S2J6Jh2BCZVATsQrhVaJECcgcalKnTh0cQDVl7EUAWZWPtdgWFUN8OyTdmn3tErhEm5wbHrmfPZwQo5A3b15I1fr16/W1pl2hmc0fpqNjzKAZgseYmPSx1pwUS5p1uCY6nEw70DSWXKVNaHL9Bg3GBU9MRDhhq/pxw0mzW5s0i6HZtGkTztzy5cuHHsOpuehqzWIIwPbt21EIQjdr1qzt27ePiorS4h6mNOeFhxr2WMZx3tfXFzGDoygCpmLF/91V46z9ujAsXaJNTo9JaJO+iSAsLMx0CDSLoTGOOJwGutO9e3ct3iHo0KEDZtVs2bKhkKtXr4rC4wkJ010nW0hoZlFhGhKae2oTCN8S7lPF1+oXeeZGfDNp2Rdfr5st/czhhuPh1atXV2/gsoeLFy9ev35dSsTJ3MmTJ43jqtk0S3xSI0BAwHalMJUwLUcAxT59+rSxQB0Uq0db/JiWD01Eycb7/x3Cnna5RJu0ZA8Pe7rCTqTg0UniWAucEkuaxS6SEk72dKCrtAkgJKpWq+poOCE/tkpEOEmoQ4NORleLa0VG4hkCHL6kR++okeas8DCCecX4OPJRo0bhtMSw/h+ctV+XhKVLtElLxpi0GgKrdBV1CHRNwZRqeg94PCGhObJrp4eEZl9UuKk2gcBhHzVu08T+33/eeHbL651e1++QJ8mAq7RJY3ikOFyoTQCB0ap9a/vDCTmRn+F0/vz5jBkzzp8/H7Pjpk2bChQoMH36dDmTJ+MqbdI8OSalqzspD/fVppiYmM5d3mjattmKw+bGbXxt/P6fSbFr1676zYkkGXChNjE8Uhiu1SYEBsKjTYe2Kw6HqvEjvZAHORlOgpCQED8/v9y5c5crVw6SEf9pusfhQm3y3JiMjIysWrWq8cE9KQz31SbNFjfDhw+v4l/lk7kT1EARrw3ntsxZOlc8icEdIiZV4UJt0hgeKQvXapNmCycEiX81/88XfKkGkv7CWuRhOKUSXKhNGmPSXXFrbRJERETUr1+/dt06g0YPmf1d8JLdIevPhq/ct3rxxqWjxv0rICAAax36NJc4C9dqk4DhkTJwuTYJRDjVrVd32Njhweu+Wb5nFaYl/MUyUpDOcEpVuFabBIxJd8MDtEmz3Ta/c+fOoKCgxo0b+/j4FCxYEH+xjBSkp7DLwh6EO2iTxvBIEbiJNmkMJ2LAHbRJY0y6GZ6hTcQ9cRNtIikA99EmQnTcRJuIW0FtIomH2kScBbWJuCHUJqJCbSKJh9pEnAW1ibgh1CaiQm0iiYfaRJwFtYm4IdQmouJG2rR48eJPieewZMmS5NQmhkcKBrH0afJqE8OJJAjCMjm1iTHpESAq3EibZKMjbk9yapO8b5Ky+DR5tUnePSFmJKc2yfsm7gq1iSQeahNxFtQm4oZQm4gKtYkkHmoTcRbUJuKGUJuICrWJJB5qE3EW1CbihlCbiAq1iSQeahNxFtQm4oZQm4gKtYkkHmoTcRbUJuKGUJuICrWJJB5qE3EW1CbihlCbiIobaROfWuFZ8LlNxFnwuU3EDeFzm4gKn9tEkkRyapO8b5Ky+DR5tUnePSFmJKc2yfsm7gq1iSQeahNxFtQm4oZQm4gKtYkkHmoTcRbUJuKGUJuICrWJJB5qE3EW1CbihlCbiAq1iSQeahNxFtQm4oZQm4jKlClT5PGLF9WInKZNsbGxcu2IG3PlypV58+bJA/l8YHikbDC4yTY/geDgYESvXAlC4oKwnDx5shw9zwfGpKdw/fr1+fPny+MXL6oROUeb9u3bt3btWrmCxF25evXqyJEjf/vtN3kgnw8Mj5QNBhdDLI/6cwNxO2LECM5SJB6ePHkSFhaWbGHJmPQI4ExBQUGOTnyqETlHmwBi9EviIcybN+/333+Xh/B5wvBIqUyaNGn16tXyeD9nEL2IYbkqhDwj+cOSMen+JG7iU43IadpECCGEEJKSUI2I2kQIIYQQYoJqRNQmQgghhBATVCOiNhFCCCGEmKAaEbWJEEIIIcQE1YioTYQQQgj5/+3ZsYmFUBBAUUON7MEObMbflbGNqImwoIht2IOBmayRiO8t/Hg9J5yZAi4MEWERySYAgIiwiGQTAEBEWESyCQAgIiwi2QQAEBEWkWwCAIgIi0g2AQBEhEUUyaZpms6jYRieCwCA1+i67iyiZVmuSSSb1nU9j5qmeS4AAF6jqqosy/Z9vyaRbDqVZVkURdu2PwAAL9P3/efzSZKkrut7IMWzaZ7nPM8TAIBXStP0bKbjOO6BFM+m07Zt4zg+6wsA4L9bluX+m7v8mU0AANzJJgCAr8gmAICv/AIa7EEVQbkEBAAAAABJRU5ErkJggg==","name":"images/ConsumptionModule.png","type":"image/png"},{"content":"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","name":"images/dataLoader.png","type":"image/png"},{"content":"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","name":"images/dataLoaderOrchestrator.png","type":"image/png"},{"content":"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","name":"images/masterDataContext.png","type":"image/png"},{"content":"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","name":"images/masterDataEntityRelationShip.png","type":"image/png"},{"content":"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","name":"images/masterdataClass.png","type":"image/png"},{"content":"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","name":"images/masterentities.png","type":"image/png"},{"content":"iVBORw0KGgoAAAANSUhEUgAAA/gAAAH/CAIAAABsI+FRAACAAElEQVR4XuzdB3gU1f7/cQGvAgIiUgKIepGekNBCjSREAyhVEBEREGz3Ir0aRWoICqIiLRC4dIFAxNBCk0i5oUkJUqRLlRKSLHp/Cpb7/5q5zH84uxt2yWazO/t+Pfvk2T3nzJnZM+fJfHYyO7nvvwAAAABM5z61AAAAAID3I+gDAAAAJkTQBwAAAEyIoA8AAACYEEEfAAAAMCGCPgAAAGBCBH0AgBOSkpKioqLGwgtFR0dPmDDBYrGoOxWASRH0AQCOio+Pj4uLs8BrnT9//pNPPlH3KwCTIugDABz14YcfqskR3kZ2orpfAZgUQR8A4CiCvgkQ9AHfQdAHADiKoG8CBH3AdxD0AQCOyjroZ2RkJCSu/Gf/ng3DGlUNqOrn5yc/5bmUSLnUqgsgNxD0Ad9B0AcAOCqLoB+/8sv6T9ev0zD4jaFvT4ybNPvrefEpK+WnPJcSKZdaaaMuBrcj6AO+g6APAHCUzaCflpb2Tv9egbUDP5g2SsK9vYfUShtpKe3VLuBGBH3AdxD0AQCOsg76ktrbvNj2mVbPLtqx1DrcKw9pIy2lPVk/FxH0Ad9B0AcAOMo66Pce2Eey+7L9X1nHepsPaSntZSmlH7gNQR/wHQR9AICjlKC/es2awNpBC5Pvfi7f+JD2spQsa+wKbkPQB3wHQR8A4Chj0M/IyAgJDcn6unx7D1lKllXuw5OWlnY9k2sv7JHeXHvDH+nN2S3U35pIT09Xq92LoA/4DoI+AMBRxqC/adOm4EZ1rUP8kj3xHf/ZqfTjZR7M/+Dfq5QfPPHdhk0bVavtrzSTZaUHQ/60FCtW7L7bHnzwwRo1asybN8/YwFpCQsLq1avV0jtJVzNnzlRLs2HMmDF16tRRS7NUsmRJ/a2JggULhoaG7t27V23nFgR9wHcQ9AEAjjIG/YFDB7059G3rlF8psLIx1OqUlrKs9GDIn38F/cjIyD179uzevXvjxo19+vTJkyfP7NmzjW0UFStWnDZtmlp6Jw8J+qNGjTqd6eTJk/LugoKCAgMD1XZuQdAHfAdBHwDgKGPQDw0Pm7h0khLfO73TWTJ9kaJFhnwauXj38mlrZjbv+LzNoC/LSg+G/PlX0P/000+NJW+//Xbp0qX162SSk5OnTp06ZcqUHTt2yMstW7aULVu2b9++8sHAZgNNFkH/wIEDsbGxixcvPnv2rLHcZj+yusmTJyclJSlBPyUlRRpLJ+fOndNKrl27lpCQcP78+VmzZm3fvt2SGfQnTJigLyKkvYyJrPfq1avS+MqVK1r54cOHZRXyJDU1VcqvX78eHx8/ffp07T3aLNQ5siUWgj7gSwj6AABHGYO+f/WA2ZvnK/G97N8fk/z67qRhesny/QlP+VeoUqOq0lKWlR703iy2gv7OnTult2+++Uaed+nSpVSpUp06dYqIiMibN++0adP69+9fsGDBgICA8ePH22ygdWIv6I8YMUIWb926dUhIiATxDRs2aOU2++nXr1/hwoXbtWtXuXJlWaMe9CdNmlSgQAHpJCwsTD6TbN26VQqPHz8um12/fn3ptn379hZbQX/AgAFFihRJT08/evSoNP7uu++0cv1TxOnTp6VcupV+GjZsmCdPnrlz59os1BZ0cEssBH3AlxD0AQCOMgb9cuXKxe1docT3fPfnk2S5ZPdypdz6IctKD3pvFltB//Lly9LbggULUlJSJKoeOHBAK+/Zs2ejRo0shkt37DWw2An6O3bskJS8atUq7aXk+PLly6elpdnsZ9euXZL4N2/eLCVXrlzx9/fXsrhkdMnWK1as0BoPGzYsKCjIcjte9+nz1y1Er1+/bskM+g0aNOieqVu3bpLR9a3KOujL5wGtvGvXrvKBxGah1omDW2Ih6AO+hKAPAHCUMegH2DqjL+lZkmXcPvUDgPVDlg242xl9PehrLy9evJiUlCT5uHHjxjVr1rRYXaNv3cBiJ+hHRUXJsvpLLW3v27dPe6n0M378+AoVKuiNR48erWXxWbNmFSxYcP5tMjjSyZkzZ7R4nZiYqC8iQT80NLR37949evQoWrRocHDwkSNHtKqsg/7XX3+tlU+cOFE+YNgstDizJRaCPuBLCPoAAEcZg374M+HW1+gXL11CkuXImWOsk73ykGWlB0P+tBH0t23bJr3Jz7S0tG7duklkr1y5cocOHVq0aFGjRg2LIejba2CxE/QjIyPr16+vv9Q+Uaxbt85mP++9955Ec73x9OnTtSw+duzYIkWKtLjTwYMHtXi9f/9+fRHjpTtSLln/tdde014qQV//FKFl+j179mjlMjJVq1a1WWhxZkssBH3AlxD0AQCOMgZ9ycr/jOylxPd2r78oybJo8Uf6jRv4r6QFcXtXfBo/OTis7lPVKigtZVnpwZA/bQT9119/vVy5cunp6bGxsYUKFUpJSdHKBw8erOX4SpUqaUHfXgOLnaAfExNTunRp/Zb2ycnJstmyuM1+JNmXKlVKbzxs2DAti8+fP//hhx/WL4k5d+5cQkLCtWvXrOO1co3+nDlzpIF289Bjx47Jc/1Wm/369buHoO/4llgI+oAvIegDABxlDPqbNm1q+HQjJb5/sWuZzdtr1glV77gvy1rfR3/QoEHbt2/ftm3b6tWru3fvfv/99y9evNiSeY3Ko48+ev78eUvmGXHJ6NWqVZPn/v7+8mnh8uXL9hpYMoP+8OHDtxtcvHjxhx9+eOSRR0aOHGnJPJ3ftGlTLV7b7OfMmTMSo6OioqTwyJEjZcqU0RpfuHBBErxE84yMDAnZnTt3fuqpp+TzgHW8tv4y7vPPPy+FZ8+eTU1NLVy48KhRoyyZa9Q7t5npbRZanNkSC0Ef8CUEfQCAo4xBXzJlk/DwUTFRSoJf+u2Xrw3q8ZR/hQIPFdD+Z1bXAd2l0NhGlpJllX9Yq//DrDx58hQvXjwsLOyrr77SqiTIBgcHS9qWXCvhXmJxgQIFLl26JClf2jdv3txeA0tm0Nc/b2ji4+OlfO3atU8++aTEemkZEhKiXTRvr59Vq1ZJ6C9RooR8POjQoYN+152NGzdWrFixaNGiUi4fCXbu3Gm5/RXYrIP+0aNHJd+/+uqrlsy8LmuRHsqWLXtvZ/QtDm+JhaAP+BKCPgDAUcagLxITE+vUrbMweamS9bN+SHtZSvmGqCMkHJ86dUoplGh+7do17bnNBln7/vvvT5w4oRTa7Of69esHDhy4fPmyUi6kB+lH+dzilNTUVOlcv/bmnjmyJQR9wHcQ9AEAjlKCvhg6dGjLF1ot2/+VdaC3+ZCW0l6WUvqB2xD0Ad9B0AcAOMo66KelpXXq1Kl1uzaLdsRZx3rlIW2kpbTX/9kt3I+gD/gOgj4AwFHWQd+SmfWHDh0aXDf4o9iPrcO9/pBaaSMtSfm5i6AP+A6CPgDAUTaDviYxMbFJkyaNQxsPHj4kZsWsBd8slnAvP+W5lEi51N7DdflwOYI+4DsI+gAAR2UR9C2Z9+HZtGlTZGRkREREUFCQn5+f/JTnUiLlWX9DFG5D0Ad8B0EfAOCorIM+vAJBH/AdBH0AgKMI+iZA0Ad8B0EfAOAogr4JEPQB30HQBwA4iqBvAgR9wHcQ9AEAjpKMOGfOnLHwWnPnziXoA76DoA8AcBRn9E2AoA/4DoI+AMBRBH0TIOgDvoOgDwBwFEHfBAj6gO8g6AMAHEXQNwGCPuA7CPoAAEcR9E2AoA/4DoI+AMBRBH0TIOgDvoOgDwBwFEHfBAj6gO8g6AMAHMV99L0d99EHfApBHwDgKM7omwBBH/AdBH0AgKMI+iZA0Ad8B0EfAOAogr4JEPQB30HQBwA4iqBvAgR9wHcQ9AEAjiLomwBBH/AdBH0AgKNiYmKOHz+uJkd4j4yMDII+4DsI+gAAR928eXPo0KHekvWvXLmiFuUMt60om27cuPHll19u27ZN3a8ATIqgDwBwwq1bt2bMmPGxx3v33XcrV6784YcfqhWuJquQFcnq1ArPEx0dvXTpUnWPAjAvgj4AwGz+85//PP3003FxcWpFzpAVyepkpWoFAOQqgj4AwGx69uw5YMAAtTQnyepkpWopAOQqgj4AwFQWLFgQHh7+yy+/qBU5SVYnK5VVqxUAkHsI+gAA8zh06FBAQMCpU6fUipwnK5VVywaoFQCQSwj6AACTuHHjRoMGDRISEtQKd5FVywbIZqgVAJAbCPoAAJN44403IiMj1VL3kg2QzVBLASA3EPQBAGYQGxvbrFmzmzdvqhXuJRsgmyEbo1YAgNsR9AEAXm/fvn3Vq1c/e/asWpEbZDNkY2ST1AoAcC+CPgDAu2VkZAQHBycmJqoVuUc2RjZJNkytAAA3IugDALzYn3/+2bVr15EjR6oVuU02STZMNk+tAAB3IegDALzY1KlTW7VqdevWLbUit8kmyYbJ5qkVAOAuBH0AgLfatWtXYGDgxYsX1QrPIBsmmycbqVYAgFsQ9AEAXik1NbVWrVqbN29WKzyJbJ5spGyqWgEAOY+gDwDwPn/88UfHjh3HjRunVnge2UjZVNlgtQIAchhBHwDgfT7++OP27dv//vvvaoXnkY2UTZUNVisAIIcR9AEAXmbLli01atS4cuWKWuGpZFNlg2Wz1QoAyEkEfQCAN/nxxx+DgoKSk5PVCs8mGyybLRuvVgBAjiHoAwC8xm+//da6detJkyapFd5ANls2Xt6CWgEAOYOgDwDwGqNHj+7cubOX/hcq2WzZeHkLagUA5AyCPgDAO6xbt65OnTrp6elqhfeQjZe3IG9ErQCAHEDQBwB4gXPnzlWvXn3v3r1qhbeRtyBvRN6OWgEArkbQBwB4ups3bzZr1iw2Nlat8E7yRuTtyJtSKwDApQj6AABP9+67777xxhtqqTeTtyNvSi0FAJci6AMAPNqKFSsaNmx448YNtcKbyduRNyVvTa0AANch6AMAPNeJEycCAgIOHTqkVng/eVPy1uQNqhUA4CIEfQCAh/q///u/sLCwRYsWqRVmIW9N3qC8TbUCAFyBoA8A8FB9Mqml5uIL7xFAbiHoAwA8kY+c7Tb9Xy0A5CKCPgDA4xw6dMjf3//kyZNqhRnJ25Q3a8rvIQDIXQR9AIBn8cE70pjyzkIAch1BHwDgWXzzHvPm+18BAHIdQR8A4EF89r/Gmuy//wLwBAR9AICn2Lt3b/Xq1c+dO6dW+AZ54/L2ZRDUCgC4JwR9AIBHSE9Pr1Onzrp169QKXyJvXwZBhkKtAADnEfQBALnvzz//7Ny58+jRo9UK3yODIEMhA6JWAICTCPoAgNw3adKkNm3a/Pbbb2qF75FBkKGQAVErAMBJBH0AQC5LTk4OCgr68ccf1QpfJUMhAyLDolYAgDMI+gCA3HTlypUaNWps2bJFrfBtMiAyLDI4agUAOIygDwDINb///nu7du0+/vhjtQL//a8MiwyODJFaAQCOIegDAHLNuHHjOnbs+Mcff6gV+O9/ZVhkcGSI1AoAcAxBHwCQOzZv3lyrVq3U1FS1ArfJ4MgQyUCpFQDgAII+ACAXXLx4MTAwcNeuXWoF7iRDJAMlw6VWAMDdEPQBAO5269atVq1aTZ06Va2ALTJQMlwyaGoFAGSJoA8AcLeRI0d27dqV/wnlIBkoGS4ZNLUCALJE0AcAuFViYmJwcHBGRoZaAftkuGTQZOjUCgCwj6APAHCfs2fPVq9efd++fWoF7kYGTYZOBlCtAAA7CPoAADe5efNms2bNYmNj1Qo4RoZOBlCGUa0AAFsI+gCAHHHkyBGlJDIy8o033lAK4RQZQBlGpdB6qAHgvwR9AEAOGTRokPFlQkJCgwYNbty4YSyEs2QAZRhlMI2FylADgIagDwBwvV9//fXJJ5/ULzI5depUQEDAoUOH7myFeyHDKIMpQ6q9lEGWoZYBv7MVABD0AQA5YNeuXX5+ftr/w/rll1/Cw8MXLFigNsK9ksGUIZWB/e+dQw0ARgR9AIDrTZs2TdLn+PHj5fmAAQN69uyptkD2yJDKwMoTGWQZahlwtQUAn0fQBwC4Xvfu3cuWLduxY8e4uLinn376P//5j1Z+69atI0eOJCcn//bbb3cugazIcMmgydDp/x9XhlQGVoZXBlmGWgb8ziUAgKAPAMgB/v7+fn5+gYGBNWrUiImJ+eijj15//fXQ0NCnnnrqww8//Omnn9QFcDcyaDJ0MoAyjDKYMqQysDK8Msgy1DLg6gIAfB5BHwDgYufPn69UqZKkzzJlylSvXr1evXpPPPFE6dKlO3TocOnSJbU1nCEDKMMogylDKgMrwyuDLEMtAy7DrrYG4NsI+gAAF1uxYkXNmjX9bitbtmxISEhKSoraDvdKBlOGVAZWH2QZcBl2tR0A30bQBwC42LBhwypWrKid0a9WrdqqVavUFnAFGVgZXu2Mvgy4DLvaAoBvI+gDAFzsmWeekej55JNPTpky5ffff1er4ToyvDLIMtQy4DLsajUA30bQBwC40q+//lqhQoWBAwfyjVu3kaGWAZdh599mATAi6AOAy6Snp48fPz46OnqsDxs+fHhkZKRa6hlk10yYMMFisah7LiclJSVFRUWpm5IDZNhl8NVSryWDtmXLFnU0ATiDoA8ALiMh8vz58xZ4MNlBH3/8sbrnckx8fHxcXJy6EXCMDN2SJUvUMQXgMII+ALjM2LFj1agCzzNu3Dh1z+WYDz/8UF09nBEdHa2OKQCHEfQBwGUI+l6BoO9Fxo8fr44pAIcR9AHAZQj6XoGg70UI+kB2EPQBwGWyDvqpaalLV8W90fetBqENqwRU9fPzqxpQLaRJSO+BfdZvXJ+RkaEugJzhOUFfdnpC4sp/9u/ZMKxR1f9NiaryXEqknClhIegD2UPQBwCXsRf00zLS5yyfFxxSt07D4DeGvj0xbtLsr+fFp6yUn/JcSuo0Cm7UOGTN2jXqksgBHhL041d+Wf/p+nanRMNgqZU26mI+hqAPZAdBHwBcxmbQv3T1x269ulevHfjBtFGS5Ow9pDaodo2BgwelpaWpXcClcj3oyy5+p3+vQAemhLSRlr48JQj6QHYQ9AHAZayDvqT8Zm2bP9Pq2UU7llonOeUhbSJaN33p5Y6+HOzcIHeDvuzcNi+2dXxKSEtp77NTgqAPZAdBHwBcRgn6aRnp3Xp1l6C2bP9X1hnO5kNaNmvTfMiQIcZ+4Fq5G/R7D+zj7JSQ9rKU0o+PIOgD2UHQBwCXUYL+nOXzqtcOXJh89xO3xoe0rx1cOzEx0dgVXCgXg/7qNWsCawfdw5SQpWRZY1c+gqAPZAdBHwBcxhj0U9NS64bUs3cR9pLdy8ctmDBixpgZ62bLy7h9K4y1I6ePaRLexHjTlbS0tOtW3HlXFlmdWuQAfbNtXnlyb31mX24FfdlfIaEh9zYlZClZVtnjMqqunQPSm76nXDjlrmdjRxP0gewg6AOAyxiD/tJVcXUaBVvnOXm8NeyfRYoWue+2ykFV8t2fL3reeGObkMYhmzZt0nsrU6aM3l43c+ZMvUFOSEhIWL16tTw5d+6crG7Pnj1qi7spVqyYvrV58uQpX778qFGjtLB49OhRKfzuu+/UZXJebgV92aHBjepazwcHp4Qsa5wS4sEHH3TtHBgzZkydOnW0566acvc8eTQEfSA7CPoA4DLGoP9G37feHPq2daTrPvgNyT3FShTr8FbH1wb1CGn+dN68eaWkb/QAY7N+HwyIjIzUe5PUNWDAgD13unDhgt4gJ1SsWHHatGny5Nq1a59//vn58+fVFncjQV/ehba1ycnJEyZMyJcv39SpUy0+GfQHDh2UnSkhy0oPhveR40HfJVPuniePhqAPZAdBHwBcxhj0G4Q2mLh0khLpFvx7yQMPPlDcr/jszfP1wlf7dpVU1/+jwcaWU+Njnn32Wb03SV0ST/WXut27d68xXLq9YcMGKdGep6SkSKRevHjxuXPn9AbiwIED06dPnz9//sWLF+Xl1atXExISrly5otUePnw4KSlJnmzZsqVs2bJ9+/aVDq9fvy5tLl++rPcQGxsrPZ89e1YrSU1NlQbSLD4+XjrXt0GC/qeffqo918ibatGihcUq6MvHANnaKVOm7NixQyux16e9couttywpUxpLypw1a9b27du1wtwK+qHhYdmZErKs9KD3ZrEf9K13kMZ6kDWyrydPniz7XQn6NqdcFuMvtm7dKl0lJiaeOXNm48aNlszrdrTJk8WC1jtOR9AHsoOgDwAuYwz6VfyrGKOb9hg4YagEuNfffctYOHfLoudebqE0npu0KCgoSO/NXuqS8PrAAw/MmTNHnn/xxRf58+eXMCfPJ02aVKBAgdatW4eFhZUuXVril9Zecqe0adWqVUhISKlSpSQRKoFbj3r9+/cvWLBgQECAJC3j1RcjRoyQculZeihZsqR8tJDC06dPSwNZV/369Rs2bJgnT565c+dabAX9evXqvfLKK5Y7g36XLl1kYzp16hQREZE3b17tzwj2+rRXbvMtHz9+XBpLS9nU9u3ba9uQW0Hfv3pAdqaEvJQe9N4sdoK+zR1ksTPIol+/foULF27Xrl3lypVld9816Nsbf4uhqypVqgQGBlasWNFiuHTH3oI2d5yOoA9kB0EfAFzGGPQfK/dY3N47vk8pj24De0jWGTVrrFJu47Fv5eOPP673JqnriSeeqG8gMU6rGjVqVPHixXfu3Pnoo49+8sknlswMLclpxYoVWoNhw4Zpnxmk/P7771+6dKlW3rJly3/84x/2gr7FcOmOntV27Ngh+WzVqlVaAwl25cuXT0tL0zLcgAEDtPKuXbtqmydB/5133lmTafHixd27d5dm2uL6elNSUiSPykcObdmePXs2atTIcjtQWvdps9zeW9aCfp8+f92bUv9KaG4F/XLlymVnSsiy0oPem8VW0Le3g+wN8q5duyT0b968WZ5fuXLF39/fGPRtTjmb42/J/HNBvnz5tJh+7dq14OBgm0HfwR2nI+gD2UHQBwCXMQb9qgFVrU/fdun3mmSdMf8aZx3jlMfircuUM/pt27b91GDSpElaVXp6ugQmSUutWrXSSmbNmlWwYMH5t0nWlJWeOXNmxowZJUqU0PvU7q/iVNCPiorS0ptGW3bfvn1ahvv666+18okTJ0pktGQGfdmSYpnkLUi41P74oC+rr/fixYtJSUkSWxs3blyzZk3L7UBp3afNcntvWQv6yr1KcyvoB9g6o+/4lJBlA+52Rt/eDtJeWg+yxOgKFSro7UePHm0M+jannM3x15atXr36/zrKPE9vM+g7uOP0fgj6QHYQ9AHAZYxBv1FYI+sLsvtGD5Ac8/YHPa1jnPL418q5jlyjr/nggw+kW0la2kvZjCJFirS408GDBydMmFCpUqU7F1UDtzHqWQf9yMjI+vXr68tevnxZytetW6dlOO3aHiGhsGrVqhZbl+7o9PXK541u3bpJZq1cuXKHDh1kU2vUqGG5HSit+7RZbu8ta0F///79t1f7l9wK+uHPhGdnSsiy0oPhfdgI+vZ2kL1Bfu+994KDg/X206dPd/DSHev9MmTIEO2vBJp58+bZDPoO7ji9H4I+kB0EfQBwGWPQ7z2wj/UtVuZsWah98zJ201y98Iudcc06PDc85o7bq783+n3lrjs2U5cl82qN/PnzDxgwQH5qX7KcP3/+ww8/rF+pIkkrISHh2rVrS5YsKVSokF6+YsWK6OjoY8eOSfzau3evVtivXz896smnAiXox8TElC5dOj09XWuQnJws5SkpKTYznMWxoB8bGytbJZ1o5YMHD76HoG/vLXtU0Jcd+s/IXvc8JWRZ45Sw2Ar69naQvUGWZF+qVCm9/bBhw+456M+YMcPPz0+/Db98hHAk6NvbcdpLC0EfyB6CPgC4jDHor9+43uZN09+IfFviTv6C+cPbPtvpnc5tXmvn93hpKXmldxe9TcJ3a8PCwpT76Pfp02f7nSQrSyTy9/fv0aOHJfOi54CAACm5cOFCyZIlJbJnZGRIhOrcufNTTz0lYe7SpUsSxYYPH27JvIqjVq1agwYNSk1NLVy48KhRo6RQArGsSI960rMky8uXL+tZ7YcffnjkkUdGjhxpyTxb3LRpU62xzQxncSzoT5w48dFHH9VuvygbIDm1WrVqFvt92iy395Y9KujLDm34dKN7mxLykGWt76Mve9M4JQ4fPmxzB9kb5DNnzkjOjoqKkudHjhwx7n17U87m+Gurk13Qt29f6XP16tWy6x0J+vZ2nNbGQtAHsoegDwAuYwz6Wfwb1P4fDirzRNn7biv0cOGX/tFp+f4EvcG0edPDw8ON/4W0jK3/XtS9e3eJYuXKldNulCmZSbshpjzfuHGjxKyiRYtK7JNIt3PnTq2fDRs2PPnkk8WLF3/ooYdeeOGFq1evWjIjV4ECBaSlLG48oy8pX9bSvHlz41131q5dKz1IapRFQkJCJB1a7IRvi2NBXzY7ODhY4qYsIh8t5COH9CyfSez1aa/c5lv2qKAvO7RJePiomKh7mBKyVJM7p4QlM+jri2ji4+Nt7iB7gyxVq1atktxfokQJGbcOHToYg77S+X2ZU87e+IukpKQaNWrkz59f1vXmm2/Kx07L3YK+xc6O0xH0gewg6AOAyxiDvlizdk1Q7RoLk5daBzt5TE+cFT1//KQVU5ft/8pYnrBnTb169ZTvj96bEydOfP/990o6tGSGbOUO66mpqQcOHNCvoNBJQDReR6GTbqVztTQbZJNOnTqlljrP3ls2yq2gL2S31qlbx9kpIe1lKaemhM0dZG+QZb/L3tf/T8K9kc9U2v9R1rz33nvyYdVQfxf2dhxBH8gOgj4AuIwS9MXAwYMiWjdVclsWj5UH177Y4cWhQ4cq/cCFcjHoC9m5LV9o5fiUkJbS3vOnxKFDh/72t7/NnDlTPk6sWrWqVKlSn332mdrIeQR9IDsI+gDgMtZBPy0t7aWXOzZr03zRDtsncY2Pld/+lfI7deqkf6MROSF3g77sXNnFrdu1WbQjznoOKA9pIy29ZUosXLiwZs2axYoVq1KlSnR0tPXp+XtA0Aeyg6APAC5jHfQtmcFuyJAhtYNrj5w+xjrJaY+E79ZOmze9Xr16Q4cO9YpI59VyN+hbMqeE7OjgusEfxX5sPRn0h9RKGx+fEgR9IDsI+gDgMjaDviYxMbFJkyaNGof0HdZ/6pcxczcv/Orgmi+2Lp2zct57o94PCwuTWqcuwsY9y/Wgr9GmROPQxoOHD4lZMWvBN4sl3MtPeS4lUs6UsBD0gewh6AOAy2QR9C2ZN13ZtGlTZGRkREREUFCQn5+f/JTnUiLlLrnOAY7wkKBvYUo4gKAPZAdBHwBcJuugDw/hOUEfd0XQB7KDoA8ALkPQ9woEfS9C0Aeyg6APAC5D0PcKBH0vQtAHsoOgDwAuQ9D3CgR9L0LQB7KDoA8ALiNBf86cOWPhwebOnevmoM+UuGeyswj6QHYQ9AHAZcZyRt8buDnoq6uHMwj6QHYQ9AHAZQj6XoGg70UI+kB2EPQBwGUI+l6BoO9FCPpAdhD0AcBlCPpegaDvRQj6QHYQ9AHAZQj6XoGg70UI+kB2EPQBwGUI+l6BoO9FCPpAdhD0AcBlCPpegaDvRQj6QHYQ9AHAZcZyH32Px330vQj30QeyiaAPAC4zljP63sDNQV9dPZxB0Aeyg6APAC5D0PcKBH0vQtAHsoOgDwAuQ9D3CgR9L0LQB7KDoA8ALkPQ9woEfS9C0Aeyg6APAC5D0PcKBH0vQtAHsoOgDwAuI0E/IyNDjSrwJLKD3Bn0Y2Jijh8/rm4EHCNDN2PGDHVMATiMoA8ALrN169bly5eraQUe48aNG19++eW2bdvUPZdjbt68OXToULL+PThx4kRkZKQMoDqmABxG0AcAV4qPj/8Ynio6Onrp0qXqPstht27dmjFjhropHsPPz08t8gwyaDJ06mgCcAZBHwAA3yVBXy0CYBYEfQAAfBdBHzAxgj4AAL6LoA+YGEEfAADfRdAHTIygDwCA7yLoAyZG0AcAwHcR9AETI+gDAOC7CPqAiRH0AQDwXQR9wMQI+gAA+C6CPmBiBH0AAHwXQR8wMYI+AAC+i6APmBhBHwAA30XQB0yMoA8AgO8i6AMmRtAHAMB3EfQBEyPoAwDguwj6gIkR9AEA8F0EfcDECPoAAPgugj5gYgR9AAB8F0EfMDGCPgAAvougD5gYQR8AAN9F0AdMjKAPAIDvIugDJkbQBwDAdxH0ARMj6AMA4LsI+oCJEfQBAPBdBH3AxAj6AAD4LoI+YGIEfQAAfBdBHzAxgj4AAL6LoA+YGEEfAADfRdAHTIygDwCA7yLoAyZG0AcAwHcR9AETI+gDAOC7CPqAiRH0AQDwXQR9wMQI+gAA+C6CPmBiBH0AAHwXQR8wMYI+AAC+i6APmBhBHwAA30XQB0yMoA8AgO8i6AMmRtAHAMB3EfQBEyPoAwDguwj6gIkR9AEA8F0EfcDECPoAAPgugj5gYgR9AAB8F0EfMDGCPgAAvougD5gYQR8AAN9F0AdMjKAPAIDvIugDJkbQBwDAdxH0ARMj6AMA4LsI+oCJEfQBAPAhJ06cML5Ugr5SC8CrEfQBAPAhMTExycnJ+ktj0JdyqdVfAvB2BH0AAHxIampq1apV9ayvB/3NmzdXq1ZNav9/UwBejqAPAIBvadWq1d///nct62tBf/369Y8//vjAgQPVpgC8GUEfAADfsmHDBsn3FStWlKwvTyTlly1btnTp0sePH1ebAvBmBH0AAHyOv79/lSpV5KcE/ccee6xmzZqvvPKK2giAlyPoAwDgcyZPniwRv379+pLy5UndunW3bNmiNgLg5Qj6AAD4oieeeMIvk6T8Jk2aqNUAvB9BHwAAX9SvXz8t6EvKX7x4sVoNwPsR9AEA8EU//fRTmTJlKlWqFBgYePPmTbUagPcj6AMA4KNefPHFsmXLfvLJJ2oFAFMg6AMA4KNOnDhRuXJl/kkWYFYEfQAAXCk9PX38+PHR0dFjvUGvXr3UIk+1detWdawBZImgDwCAK02YMOH8+fMWuNry5cuXLl2qDjcA+wj6AAC40tixY9WIChcZN26cOtwA7CPoAwDgSgT9nDNhwgR1uAHYR9AHAMCVCPo5h6APOIWgDwCAK2Ud9FOvpS9bvP6tHoMb1n+mapVAPz+/alUDQxo906fX0PXrN2VkZKgLwICgDziFoA8AgCvZC/rpaRnzZq+qWyc0uFbjf3QfNfmjDQti9q9efFF+ynMpCa7dOKRR2Jo1a9UlcRtBH3AKQR8AAFeyGfR/vJTao8vAwOrBoyMXSLi395DaGkF1Bw0ckpaWpnYBgj7gJII+AACuZB30JeU3j3gpokn7ZXOOWYd75SFtmj7TvuNLL5P1rRH0AacQ9AEAcCUl6KenZfToMlBS/spF56xjvc2HtGwe0X7IkCHGfmAh6ANOIugDAOBKStCfN3tVYPXguH+p5/KXzz2xdPZR/RH3r++NtdK+dq26iYmJxq5A0AecQtAHAMCVjEE/9Vp6veAw6+vyu7387n1WGtZ93tgmatjCJk3ClfvwXLfFDRf5yGbkxFqkT6duNETQB5xC0AcAwJWMQX/Z4vXBtRsrKV8eH49e+WzoS2Eh7YoWKZ4v3/3yJPzpF4f0nqY0C2kUumnTJr23Q4cOqR8OMjVo0EBv41oHDx4cM2aMPJGfZcqUUauzR1J+wYIFExIS1Ar7CPqAUwj6AAC4kjHov9Vj8D96jLYO+vojoGqD/A8WtC7XHgP7REVGRuq9Xb169btMycnJku+nT5+uvTx9+rTexrWee+65fv36yZMXXnihVatWanX2yLvIkyfPuXPn1Ar7CPqAUwj6AAC4kjHoN6wX/vmH660TvP7IOujPmLTh2WefNQTd/1m1apUE/ZMnTyrliYmJU6ZMWbJkiXwksGSeMk9ISEhNTZUS/cT5mjVrpI18PDh79uz69ev1ZZOSkqZOnSq1esnq1atLliw5YMAAafz444+PHDlSrzKSlU6ePHnlypXKRTjKxuikW1nRsWPHZKkKFSro5coG2Nx4gj7gFII+AACuZAz6VStXXxhzwDrB64+sg/4XsQeCgoL03nSSucuVK2csuXTpUkhISMWKFTt37ly7du0nnnji1KlTycnJxYsXf/HFFytVqtSrVy9p06RJE8nWHTt2LF26dJcuXZ5++mlZ9sqVK61atZJFunfv7u/v365dOym8fPlyw4YN5eOEfNJYtGiRPJEob1yjttLGjRtLh2+//bYsGB4erl3Hb3NjtD6lN2kvmySfHCIiImRLLHY2QNl4bY0EfcApBH0AAFzJGPQfe6xcwsKz1glef2Qd9FcvPiuBWO9NJ7G4bdu2xpLPP/88LCzs2rVr8jw9PV0i8vz586dMmZIvX75p06Zpbbp16yb5OzU11ZJ5+lyyu3ZZTp8+fQIDAyWFWzKzeMmSJbW7/SxcuLBEiRLyZNmyZXny5Dl//vzttf2P5PKaNWtevHhRW1A+PMyePdtiZ2Pked++faW9doI/Li5ONuCjjz6y2NkAZeM1BH3AKQR9AABc6Y4z+lUCs3NGf/n8FJtn9MuUKTN69Gil8OTJk6tXr16wYMG4cePuv/9+ycoSxJs0aaLVnjp1SgqNV+YULFhQGkuwfuihhwYMGJBwm2TuSZMmSYP+/fs3a9ZMnkRGRlaqVElfUCO5/29/+5vxNP9zzz03cOBA7bn1xly5cqVQoUJLly7VGhw7dkyC/qZNm+xtgHHjdQR9wCkEfQAAXMkY9EMaPpOda/Tnx26yvkb/+PHjEpGNkT0jI6NHjx6PPvro888///bbb0tEzps374ULF+RDwueff661kUT+4IMPpqenay/PnDkjnRw5cuTrr7/OkydP6ztpnTdu3Fj7KnDTpk1ffvnl22v7H2mTL18+7e8DGgnoo0aNsrcx27ZtkzXqfxaQiC+fEyT929sA48brCPqAUwj6AAC4kjHo9+k11OZdd8YOi6tfp3lwzWcKFyqaN28+eVK3VkTvtyYozYZFjjXedUezePFiic6XLl3SS5YvX16gQAH5AKC9lEX8/f0lQ0uS3rVrl1a4fv16ealdTiNkI0uWLGnJ/Mqs5GxprJXv2bNnxowZlswPD0WKFFm2bJk8L168uCRsrYHuyy+/zJ8/v/4F3JSUFNmqrVu32twYS2aylwb6zfjfeecd7Y8VNjdA2XgdQR9wCkEfAABXMgb99es31a1j4z76b3YdmS/f/bfvg/8XCbvhjV80tklcdiksNMx4H33NoEGDqlataiz54osvChcufPbsWUvmPW0KFizYvn17WbBQoUL6Kfwff/yxRIkSvXv3vnDhwpw5cySLP/fcc5bML84+9NBD48ePl+ffffed9KxduL9//37ZKonvUihP5s6du99Aejt9+rQE/djYWEvm3wfq1avXsmVLexsjz6VE2mufIqRcnnfv3t3eBigbryPoA04h6AMA4ErGoJ+RkfF0oybW/xnXkUfMlCXh4ep/xhVS+OqrrxpLUlNTmzRp8vDDD1epUkXi+wsvvNC2bVuJztpNdXSJiYkSo4sWLSoJu1q1asOGDdPKFy9eXKxYsTJlykj679+/vxavT5w4Ubx4cYnjkZGRxg8kms2bN0ubBQsWyIIVKlQoUqRIly5dtG/T2twYbUWfffbZAw888Nhjjz3//PNBQUFTpkyxtwHWG68h6ANOIegDAOBKxqBv+eta9rU1gurG/euYdZTP4rF2+fF69eppd79x0NGjR7Ub4Ni0devWnTt3as/Pnj17//33G2+if+3atQMHDig3vJdC7baYWZA2+/fvt16vvY2RQqlSS+1sgDWCPuAUgj4AAK6kBH0xaOCQps+0X7nonHWgt/lYF3/+xRc7DB06VOknO/r16/fUU09t2bLl3//+d5s2bWrVqmX9twLPR9AHnELQBwDAlayDflpaWseXXm4e0X7ZnLuf118bf0JSfqdOnfTvrbrE+fPnu3Xr5u/v/+STT3bp0sX6v+p6BYI+4BSCPgAArmQd9C2ZWX/IkCG1a9WNGrbQOtxrj8Rll2KmLKlXr97QoUNdm/JNg6APOIWgDwCAK9kM+prExMQmYU1CGoX27z165qSNX8zcnxh3cdm8lPmzNr0fGRUWGtakSROnrsv3NQR9wCkEfQAAXCmLoG/JvA/Ppk2bIiMjIyIigoKC/Pz85Kc8lxIp98br5t2JoA84haAPAIArZR30kR0EfcApBH0AAFyJoJ9zCPqAUwj6AAC4EkE/5xD0AacQ9AEAcCWCfs4h6ANOIegDAOBKEvTnzJkzFq42d+5cgj7gFII+AACuNJYz+jmGoA84haAPAIArEfRzDkEfcApBHwAAVyLo5xyCPuAUgj4AAK5E0M85BH3AKQR9AABciaCfcwj6gFMI+gAAuBJBP+cQ9AGnEPQBAHAlgn7OIegDTiHoAwDgSmO5j37O4D76gLMI+gAAuNJYzujnGII+4BSCPgAArkTQzzkEfcApBH0AAFyJoJ9zCPqAUwj6AAC4EkE/5xD0AacQ9AEAcCWCfs4h6ANOIegDAOBKBP2cQ9AHnELQBwDAlQj6OYegDziFoA8AgCs5FfSvX7+uFjkvIyMjLS3NWLJv374ses6iyj1kA/bu3auWOoCgDziFoA8AgCs5HvSPHj163333fffdd2qFk8aMGVOnTh395fbt20NCQgz1d3DVSu8qISFh9erVaultsoVbt25VS++GoA84haAPAIArZRH0JV7v3LlTf+mqzG0M+hkZGUFBQevWrbuzyf/nqpXeVcWKFadNm6aW3rZhwwbZTtlatSJLBH3AKQR9AABcKYug/+6777Zu3Vp/qWTuAwcOxMbGLl68+OzZs3obkZycPHXq1ClTpuzYscNYvmXLlsmTJyclJRmD/rJlyypVqiRPUlNTExISLl++vHDhwpiYmGPHjmkNlJVad64teP369fj4+OnTp+/evVsrz5psvDSeP3/+xYsXLZnbVrZs2b59+8bFxa1Zs0ZvJvle77By5crLly/XqxxB0AecQtAHAMCV7i3ojxgxomDBglIbEhJSsmRJCcRamy5dupQqVapTp04RERF58+bVz5H369evcOHC7dq1k7gcEBCgB/2WLVsOHjxYnpw+fVo6r127drNmzaRb6XzlypXKSm12ri0YFhZWv379hg0b5smTZ+7cuVrn9nz44Yf58+dv1aqVbLx0KKG/f//+skbZMNnOBx54YM6cOdLsiy++kGby0UJbSrZTFrmjo7sh6ANOIegDAOBK1kFfsvWgTJKbK1WqpD3fsmWLnrl37NgheXrVqlVaewnH5cuXT0tLS0lJkdAvuVkr79mzZ6NGjeTJrl27JJdv3rxZnl+5csXf318L+unp6UWKFImPj7fczuvvvPOOtmxkZOTf//53iyHo2+tcW3DAgAFaedeuXbO44t+S2eH999+/dOlS7aV80vjHP/5hMVy6M2rUqOLFi+/cufPRRx/95JNP9AWXLVv28MMPyzbrJXdF0AecQtAHAMCVrIO+hOlXMgUEBJQrV057vnbtWj1zR0VFSSzW22vl+/bt015evHgxKSlp5syZjRs3rlmzppSMHz++QoUKevvRo0drQf/kyZOy4J49eyy387reycGDB+WlhHvl0h3rzrUFv/76a63BxIkT5YOE9tymGTNmlChRQn+p3/9HD/oS5eWjQoECBZTz97t375YVyeqMhVkj6ANOIegDAOBK1kFfZ+/SncjIyPr16+vlly9flvJ169ZJaO7WrduDDz5YuXLlDh06tGjRokaNGtLgvffeCw4O1ttPnz5dC/qS4/UQr+X18+fPa23OnTsnL7dv366v1F7n2oLapwXx6aefVq1a9X9rskXCt/atAIXxy7gffPCB9CkfSIwNtM8e8tNYmDWCPuAUgj4AAK50D0E/JiamdOnS+kUsycnJ2tn32NjYQoUKyROtfPDgwVoWl2RfqlQpvf2wYcO0oH/p0iVZcNu2bZbbeV2/IP6bb77JmzfvDz/8oK/UXufOBv0lS5ZIP/q9+VesWBEdHS1PJP1rQX/Hjh358+cfMGCA/DR+n3jLli2yoh9//FEvuSuCPuAUgj4AAK6URdDfvn278RY0euaW/P3II4+MHDnSknk6v2nTplpwnzhx4qOPPqqdld+/f798GKhWrZo8P3PmzMMPPxwVFSXPjxw5UqZMGf3LuGXLlv3Xv/5luZ3XW7Vqde3atStXrkRERLRo0cK4UnudZxH0Fy9erH+RQCefLvz8/IYPH27JvBCoVq1agwYNkuf+/v6RkZHSvzzp0aOHJfNy/4CAANkebcHZs2c//vjjhp7ujqAPOIWgDwCAK2UR9BXGy+XXrl375JNPSvIuUKBASEiIxHcpvHDhQnBwsGR6idoSl0eNGiW1EqylSgK3RPMSJUrIJ4QOHTroQf/1TJbbeb1du3ayeKFChaTPEydOGFdqr/Msgr508tJLL2nPjTZs2CAbX7x48YceeuiFF164evWqJfPrv9LP3//+93Llymn33JQ1avfc1JaS9K99bddxBH3AKQR9AABcyfGgb+3777/X4riRRPNTp04pheL69esHDhy4fPmysfDf//63pP9r167peV2WlR6MbYzsdW7T/v3733rrLbX0NulK+Q8Akuz18/cKKZcPBsp/Brgrgj7gFII+AACulJ2g7xKtW7eOiYlRTsy7RJ8+ffSL/rNp+vTpbdu2VUvvhqAPOIWgDwCAK+V60D927Fi9evUk6NepU+fQoUNqtQdITU0NDg7W/1mv4wj6gFMI+gAAuFKuB30TI+gDTiHoAwDgSgT9HHLjxo2PP/5YHW4A9hH0AQBwJQmj+r+pggt9+eWXK1asUIcbgH0EfQAAXEkiqWT9jz76KCoqaujQoeM826uvvqoWeQAZNxk9/eWHmbZt26aONYAsEfQBAHCZ8+fPf/XVVx988EHz5s0rVaqUkpKitvAkN27ckI2Un2pFbpNxkw2TMZSRlPGUUVVbAHAAQR8AgHv366+/7t69e/r06d27dw/KJE8knj722GOJiYlqaw+zfPlyPz8/+alWeAAZPRlDGUnjwMo4y2jLmKutAdhC0AcAwDnG0/bly5dXTjz/9NNP4eHhM2bMUBfzPN26devUqZP8VCs8g4yhjKSM53/vNuYAbCLoAwBwFzZP29s8u/z7779LdH733XeNhZ5Ju27n0qVLnnn1jkZGUsZTRtVY6PjuAHwcQR8AgKxcv35donDjxo0dOYVsM5h6puXLl2vn8uWnZ16981/HPjjpJ/tlH8mekv2ltgB8FUEfAIC7+Oyzz7p3766WWjFeauL59HyvJ37P5PilULKPZE+ppYAPI+gDAHAXN2/ebNiw4ebNm9UKg8TExJo1a168eFGt8EjG++147L13dDKqMrZZf7lZ9o7sI9lTagXgwwj6AADcXdY5MiUlxd/f38NvpmmknMX35Kt3NFmPsCOfxAAfRNAHAMAh9q4MceR8s6dRkr2HX72jyeJvJg5eWwX4GoI+AAB39+uvv44YMaJ8+fLKl3Edv4Lcc1hfq2Nd4plsfgtC9ojsl6ioqFu3bhnLARD0AQC4i8TExLp167755pujR482njl25J4wHsjm+XvPv3pHY31fI9kjo0aN6ty5c1hY2O7duw1tAV9H0AcAwK6TJ0927NgxNDR0+/bt/7W6Ftw6dHoFm5neZvr3QMqHK+N3J1atWlWzZs2BAwdmZGTcsQzgqwj6AADYNnPmTH9//9jY2N9++00v1JOlzctIPJ+9q3TslXsg/XIp6+/gyva///77QUFB69evNywB+CiCPgAAth0+fDg1NVUtzbxWpEuXLva+GOrhsjhzb/NMv2fSvgAte8Hmd3APHDjw7bffqqWA7yHoAwDgnPPnz2dxq0cPl0Waz+IzgAfSbriZ9T8qBnwcQR8AAKddvXpVLfIGWV+fk3WtB/LSvQC4DUEfAODrbt26NX369BUrVqgVpnPXc/ZZnO/3djt37uSDAXwNQR8A4NOSkpIaNWrUuXPnU6dOqXWmc9ccf9dPAt5r8uTJAQEB8+bN++OPP9Q6wKQI+gAAH3X69OkuXbo0bNjw66+/VuvM6MaNG0888YTf3UgbL7p6xynHjh1r06ZNixYtDh06pNYBZkTQBwD4os8//7xatWpTp0718X+nKsleLTK7xYsXV69efcSIET///LNaB5gLQR8A4IuSk5OvXLmilvoeHwz6Ii0trV+/fsuWLVMrAHMh6AMA4Lt8M+gDPoKgDwCA7yLoAyZG0AcAmNmtW7cmT568Y8cOtQKZCPpGv/zyi1oEeDOCPgDAtNatW9egQYPXXnvtzJkzah0yEfSNOnbs2K9fv7S0NLUC8E4EfQCACR0/flxCW+PGjbds2aLWweDjjz9Wi3zYzz//PGLEiOrVq3/xxRd//vmnWg14G4I+AMBsRo8eHRAQMHv27N9++02tA+7m0KFDLVq0aN269dGjR9U6wKsQ9AEAZrN+/XquvkB2/Pnnn/Pnz5ePi0lJSWod4D0I+gAAADakpqby9Vx4NYI+AAAAYEIEfQCAt/r555/HjRt36tQptQIAQNAHAHijP//8My4urkaNGn369Lly5YpaDeSY9957b9euXWop4JEI+gAAL/Ptt98+99xzLVu23Ldvn1oHJ3F7TWetXr26Vq1a3G4fXoGgDwDwGr///nvv3r1r1qy5fPlytQ73hH+YdQ9++umn4cOHc7t9eD6CPgDAm6xcufI///mPWop7RdC/Z4cOHWrZsmXr1q1Pnz6t1gGegaAPAIDvIuhnx59//rlw4UK+JQKPRdAHAMB3EfQBEyPoAwA8UWpq6rBhw/i+Y04j6AMmRtAHAHiWW7duxcTE+Pv7jxw58saNG2o1XIqgnxOSkpJkGqulgNsR9AEAHmTTpk0NGzZ89dVX+TdY7sHtNV3u999/79q1a2ho6M6dO9U6wL0I+gAAj2CxWDp16hQSEpKUlKTWAd5m7dq1tWrV6tu37/Xr19U6wF0I+gAAT/Hll1/+9ttvaingnX7++eeRI0dWr1590aJF3G4fuYKgDwAAkFMOHz7ctm3bEydOqBVAziPoAwAAACZE0AcAuNu5c+fef/99bksCADmKoA8AcJ//+7//++ijj6pWrfrpp5/evHlTrQZ8xq+//qoWAa5G0AcAuEl8fHytWrXeeeedH3/8Ua1DLuH2mrlCPvHWqVNn8uTJ/F0LOYqgDwDIcZcuXWrVqlWzZs12796t1iFX8Q+zcsvZs2c7d+4cFha2a9cutQ5wEYI+ACDH3bx5Mz4+njsMeiCCfu5avXp1rVq1+vfvn56ertYB2UbQBwDAdxH0c91PP/30wQcfVK9e/fLly2odkD0EfQAAfBdB30P88MMPahGQbQR9AIArnT59ety4cWopPBVBHzAxgj4AwDV+/vnnsWPHVqtWbdq0aX/88YdaDY9E0AdMjKAPAHCBZcuW1ahRo2/fvleuXFHr4MG4vabH+umnnwYPHsy9aJEdBH0AQLacPn26VatWzz333N69e9U6APfq5s2bEyZMqFatWmxs7O+//65WAw4g6AMAsiU1NXXp0qXcOhPICadOnWrfvn3Tpk0PHDig1gF3Q9AHAADwaMuWLQsMDHz//fd/+eUXtQ6wj6APAADg6TIyMj755BO+5g6nEPQBAI66cOHCvHnz1FIAgEci6AMAHDVlypRPP/1ULQUAeCSCPgCTSE9PHz9+fHR09FiYS1RUVFJSkrq/c5KsTlaqbge8GbMIRu6fD7mFoA/AJCZMmHD+/HkLzCguLm7JkiXqLs8Z8fHxsjp1C+D9mEUwkh20ePFidc+ZDkEfgEmMHTtW/UUOE5H9q+7ynPHhhx+q64ZZMItgFBUVpe450yHoAzAJgr65ffTRR+ouzxlENBNjFsHIbfMhFxH0AZgEQd/c3HZIJqKZGLMIRm6bD7mIoA/AJLIO+qlpqUtXxb3R960GoQ2rBFT18/OrGlAtpElI74F91m9cn5GRoS4AD+O2Q3LWEU2mSkLiyn/279kwrFHV/02kqvJcSqScieThmEUwctt8yEUEfQAmYS/op2Wkz1k+Lzikbp2GwW8MfXti3KTZX8+LT1kpP+W5lNRpFNyocciatWvUJeFJ3HZIziKixa/8sv7T9e1OpIbBUitt1MXgMZhFMHLbfMhFBH0AJmEz6F+6+mO3Xt2r1w78YNooOZrae0htUO0aAwcPSktLU7uAZ3DbIdlmRJOJ8U7/XoEOTCRpIy2ZSJ6JWQQjt82HXETQB2AS1kFfUn6zts2fafXsoh1LrY+mykPaRLRu+tLLHTm4eia3HZKtI5pMiTYvtnV8IklLac9E8kDMIhi5bT7kIoI+AJNQgn5aRnq3Xt3lYLls/1fWx1GbD2nZrE3zIUOGGPuBh3DbIdk6ovUe2MfZiSTtZSmlH+Q6ZhGM3DYfchFBH4BJKEF/zvJ51WsHLky++8kz40Pa1w6unZiYaOwKnsBth2Qloq1esyawdtA9TCRZSpY1doVcxyyCkdvmQy4i6AMwCWPQT01LrRtSz96FsEt2Lx+3YMKIGWNmrJstL+P2rTDWjpw+pkl4E+ONL9LS0q7flp6erpdbk6X0P7VL4zsr752sVN8AI/fcnUPekWtXZBwlx7ntkGyMaLKpIaEh9zaRZClZVhk6bS4ZSzTX7za1so9ZZDHLLNIdP358x44dZ8+eVSscwHywuHE+5CKCPgCTMAb9pavi6jQKtj6myuOtYf8sUrTIfbdVDqqS7/580fPGG9uENA7ZtGmT3lvJkiX19qJgwYKhoaF79+7VG+jGjBlTp04deXL69GlpuX//frXFPWndurVxA3QJCQlqUxeRnlevXq09f/DBB2fOnHlnfbboo+QUtx2SjRFNpkFwo7rWs8jBiSTLGieSkMkjjb/55htjYUxMjBR27drVWOhyzCKLWWaR1mfNmjVlkQceeEB+NmnSZM+ePUqbrDEfLG6cD7mIoA/AJIxB/42+b7059G3rw2r3wW/IkaxYiWId3ur42qAeIc2fzps3r5T0jR5gbNbvgwGRkZF6bxL0R40adTrTyZMnN27cGBQUFBgYqDfQ5VDQ//777/dkGjFiRIECBbTn4vLly2pTF6lYseK0adO05752SDZGtIFDB2VnIsmy0oPhTfwV9B966KF+/foZCyMiIiSu5XTQZxZZzDKLJOXLeHbu3Pm7776TlwcPHmzbtm2hQoW+/fZbY7OsMR8sbpwPuYigD8AkjEG/QWiDiUsnKYfVBf9e8sCDDxT3Kz5783y98NW+XeXI2v+jwcaWU+Njnn32Wb03CfoTJkzQX4rFixfLUvpfzLds2TJ58uSkpCQl6MtxNz4+Xo5tckzVWqampiYkJMjPuLi4KVOmHD16VAq3b98uz/WzvFevXpXa6dOnb968WfnrtnQlSdFYoklOTp46dap0smPHDq3k2rVrsqLz58/PmjVL+peSrVu3ykYmJiaeOXNGPqvoy6akpMiy8o7OnTunlcjbKVu2bN++fXfv3m3J8pB84MCB2NhYWdZ48YD1xmisR0ljvQHWG29x4yHZGNFCw8OyM5FkWelB782SGfRffPHFJ554Qi/54YcfChcuHB4ergd961HVps3169dlOsnE0PaLzt6ete5HwyxygxydRYGBgS+99JKxRH5RNGrU6JlnnrHY+QVis1DDfDA3gj4AkzAG/Sr+VYyHT+0xcMJQOYi+/u5bxsK5WxY993ILpfHcpEVBQUF6b9ZBf8CAAUWKFNEuqu7Xr58EtXbt2lWuXDkgIMAY9P39/Rs3biyfGaTxmsxv1Gnlzz//fGhoaM2aNaV84MCBVatWlZyXN29eOQJdunRJXjZo0OCVV14pU6ZMs2bNjOu1eUju0qVLqVKlOnXqFBERIZ1o58yOHz8uK6pfv75sfPv27fWNrFKliqSEihUrastOmjSpQIECrVu3DgsLK126tBy2pbB///6yFnkv48ePt9g/JI8YMUKaybIhISGylg0bNljsbIzFzihZ7GyAsvFaS7cdko0Rzb96QHYmkryUHvTeLJlBX/ay/JRoopV8/vnnbdq0kRHQgr7NUdWmjQyRjEnDhg3z5Mkzd+5cbXF7e9ZmPxpmkRvk3CySHCwLWt8wYP78+TJWhw8ftv4Fwm8Vi9XGay3dNh9yEUEfgEkYg/5j5R6L23vHd9rk0W1gD/lFP2rWWKXcxmPfyscff1zvTQ4Mcozsnqlbt26StPSj1K5du+TAs3nzZnl+5coVSfbGoN+rVy+tB0nzcijSy7XrguRzghx0g4ODte+QSc/yAWDp0qWyOm2pgwcPNm3a1Hhay/qQnJKSIu3l2K+97NmzZ6NGjSy3j2p9+vx1b75t27bly5dPO9pdu3ZN1qgdko8ePSqHwxUrVmjLDhs2TP94c9c/su/YsUPi5qpVq7SXcsQtX778vn37bG6MvVGytwHGjb9++6urbjskGyNauXLlsjORZFnpQe/Nkhn0Fy1aJNGkb9++Wol8FFy4cKEW9G2OqkwPbdrIx0utXFpKDLJknua0uWft9aO9ZBa5Qc7NouXLl8uCp06d0ks0e/bskXL5NWj9C4TfKpbcng+5iKAPwCSMQb9qQFXrU2hd+r0mv+jH/Guc9aFUeSzeukw5ox8aGtq7d+8ePXoULVpUDmlHjhzRqsaPH1+hQgW95ejRo41BX//CrjyRl99//71Wrl+lU69evaFDh2rPR4wYIR8n5KgmRykJf5988smhQ4e0Kp31IVlz8eLFpKQkOXDKgjVr1rTcPqppp/1kq6pXr643njRpknZI1k4tz79NookscubMGYsDh+SoqCj9BJ4l8+Aqy8rGW2xtjL1RsrcBxo3Xue2QbIxoAbbOxTo+kWTZAKsz+hL0JdlrnyRPnDjxyCOPXL16VQv69kZVmzZff/21Vj5x4kSJNRb7e9ZeP9pLZpEb5Nwsio+PlwWPHTuml2j+/e9/S/mCBQusf4HwWyXX50MuIugDMAlj0G8U1sj6oti+0QPkF/3bH/S0PpQqj3+tnGvvGv39+/dL1n/ttde0l++9957kfr3l9OnTjUH/hx9+0Mq1lzt27NCe7Ll9f4z69euPHDlSey5P5KUl8zRtly5dSpcuLS1btmx56dIlrYHF1iE5LS2tW7ductSsXLlyhw4dWrRoUaNGDcvtQ7L2beAhQ4Zo58A08+bN046mMmJFihRpcaeDBw9aHDgkR0ZGaluruXz5sqxu7dq1NjfG3ijZ2wDjxuvcdkg2RrTwZ8KzM5FkWenB8Cb+F/Ql2RcuXHjz5s0yrzp37mzJvAWKBH2bo7pu3Tpl2nz66adVq1a12N+z9vrRXjKL3CDnZpG8NVlQP+2tmzNnTt68eSXR2vwFYrNQw3wwN4I+AJMwBv3eA/tY3+ZizpaF2rffYjfN1Qu/2BnXrMNzw2PuuMX1e6PfV+66Y7xGXw6ocsCQA5sl8+hSqlQp/Q7ow4YNMwZ9Obhq5Zs2bcqTJ8+PP/5416B/5MgR/cStLPXwww9PnjxZe2mxdUiOjY0tVKhQSkqK9nLw4MHWh+QZM2b4+fnpV27IAVI7JM+fP1/61/+Kfe7cuYSEhGvXrsnzSpUqZX1IjomJkdCgv3F5p7K66Ohomxtjb5TsbUDuHpKNEU2mwT8je93zRJJljRPJcjvoy5OXX365T58+DRo00K4x0IK+zVGV8bQX9O3tWXv9aC+ZRW6Qo7OoXr162vdudRkZGTVr1oyIiLD5C8Rmob4s88HcCPoATMIY9NdvXG/zxtVvRL4tv+vzF8wf3vbZTu90bvNaO7/H/zrF9UrvLnqbhO/WhoWFKffRV76M+/zzz0vh2bNnz5w5IweVqKgoKZSjaZkyZYxBv2XLlqmpqZcvX5YOta9/3TXoy+eHYsWKaUe177///pFHHvniiy+0BhZbh+SJEyc++uij58+ft2T+tUEOk9WqVbPceUiWDZCt7du3r2zt6tWrpX/tkHzhwgUp79evn6QEOS527tz5qaee0g6c/v7+ki20G+3JIXn48OHbDS5evPjDDz/ItmkbL82aNm0qb9zextgbJXsbkLuHZGNEk2nQ8OlG9zaR5CHLWt9HXwv6cXFxpTJpUUkL+jZH1WI1bfSgb2/P2utHwyxygxydRZKAJfvKhDl8+LAl8+u5L7zwQuHChffu3WvzF4jNQr035oO5EfQBmIQx6GfY/1eU/T8cVOaJsvfdVujhwi/9o9Py/Ql6g2nzpoeHhxvvQGcd9I8ePSqH1VdffVWer1q1So49JUqUkENUhw4djMmsW7du0uyhhx5q0KDByZMn9fIsgr6s9/XXX8+fP//jjz8uR98333xTP2VlsXVIlqNacHCwHPAk+clxdNSoUQUKFLh06ZJyVEtKSqpRo4Z0K42lz4CA/13yu3HjRjk8Fy1aVDZeDp87d+7UyuV4LIs3b97cknlI1odLEx8fL+Vr16598skn5RgsawwJCZFjrb2NsdgZJXsbkLuHZGNEk93RJDx8VEzUPUwkWarJnRPJYgj68glQ3rXsC61cv+uO9aharKaNHvQt9veszX40zCI3yNFZZMn83mpYWJgskjfTM888o91E3+YvEJuFelfMB3Mj6AMwCWPQF2vWrgmqXWNh8lLrg6s8pifOip4/ftKKqcv2f2UsT9izpl69eta3rsva9evXDxw4oJ2pUki+1866OUUOY/v27ZMjnFphh3zwsL4Lh06OcPo/pLRk/pFdPskY6v/6Suj333+vhAlZu/YH96zJgrK4scTexmQxSjY3QOG2Q7IxogmZDHXq1nF2Ikl7WcrZiaSzHlWb7rpnHexHY2/Hae66Lps7kVmkyaFZJL8oJLkaL7jXy61/gdgszIK9XaBhPngLgj4Ak1CCvhg4eFBE66bKsTOLx8qDa1/s8KJ+GxzTOHTo0N/+9reZM2fKwXLVqlWlSpX67LPP1EYez22HZCWiCZkSLV9o5fhEkpbS3g0TyZ171p3ryjnMIldhPngLgj4Ak7AO+mlpaS+93LFZm+aLdtg+kWZ8rPz2r5TfqVMn/etlZrJw4cKaNWsWK1asSpUq0dHRWZ/l8kxuOyRbRzSZEjIxWrdrs2hHnPXMUR7SRlq6bSK5c8+6c105hFnkQswHr0DQB2AS1kHfknlwHTJkSO3g2iOnj7E+mmqPhO/WTps3XbulvScfVn2c2w7J1hHNkjmRZHoE1w3+KPZj6ymkP6RW2jCRPBazCEZumw+5iKAPwCRsBn1NYmJikyZNGjUO6Tus/9QvY+ZuXvjVwTVfbF06Z+W890a9HxYWJrVZXAgLT+C2Q7LNiKbRJlLj0MaDhw+JWTFrwTeLJZbJT3kuJVLORPJwzCIYuW0+5CKCPgCTyCLoWzJvRrFp06bIyMiIiIigoCA/Pz/5Kc+lRMq98Y/OvsZth+QsIpqFieTlmEUwctt8yEUEfQAmkXXQh7dz2yE564gGr8YsgpHb5kMuIugDMAmCvrm57ZBMRDMxZhGM3DYfchFBH4BJEPTNzW2HZCKaiTGLYOS2+ZCLCPoATIKgb25uOyQT0UyMWQQjt82HXETQB2ASEvTnzJkzFmY0d+5ctx2SJaIxkUyJWQQjd86HXETQB2ASYzmjb2puOyRzLtbEmEUwctt8yEUEfQAmQdA3N7cdkoloJsYsgpHb5kMuIugDMAmCvrm57ZBMRDMxZhGM3DYfchFBH4BJEPTNzW2HZCKaiTGLYOS2+ZCLCPoATIKgb25uOyQT0UyMWQQjt82HXETQB2ASBH1zc9shmYhmYswiGLltPuQigj4AkyDom5vbDslENBNjFsHIbfMhFxH0AZjBb7/9Npb76JuXO+94zR3QzYpZBCN3zodcRNAH4JX++OOPw4cPL1q0aOjQoREREZUqVRozZox6ugYm4rZDMudiTYxZBCO3zYdcRNAH4DVOnz791VdfDR8+vHXr1uXLlw8NDe3Vq1dsbOy+fft+/fXXsVy6Y2rR0dHqhMgZRDQTc1uwYxZ5BbfNh1xE0Afgua79v/bOAyyKLOv7++7u7My+s7Pv7O7sO+MEA6JkQZICCogwIhJUVEQHxcCIiBgwMYpZFBOICcSEogTFEQwYETGCAQNmURkVs9iGMY3291/qnfra293QNN3V6fweHp7uW7equs+595z/qa7w4MGOHTuQMnv16mViYmJnZ9e/f/8lS5YcPHjw6dOnTGcS+nrMw4cPGzdu3K1bt4ULF547d45xvWohiabHCCbsaBTpBIKNBw1CQp8gCC3i2bNnEPGQ8hD0tra2pqamvXv3RiyG3IfUY3t/CAl9/Qb+LSwsnD59ure3t42NTVRUVE5OzqNHj9hxUG9Ioukxggk7GkU6gWDjQYOQ0CcIQpO8efPmzJkzq1atGj58eLt27Zo0aeLn5zdx4sTNmzdfv36d7V0jJPT1G8mUjLcYIUOHDrWwsOjYsSNEVUlJyfv37yWGg/KQRNNjBBN2NIp0AriJ9ZzeQUKfIAihKS8v37RpU2xsbKdOnaDs27dvHx0dvWbNmrKyst9++43trTAQ+k+ePGEDOaEXXL58OSUlhXW5WAxxD4k/c+ZMDw8PiP6oqCgUANKnddWJ5ORk7I79BITuI28UqQMaRdoPHAQ3sZ7TO0joEwShdqqqqnbv3j1nzpzevXubmJjY29sPGDAAEfbIkSMvXrxgeytLUVHRxo0b2VgunwcPHrBNquPevXtsk26i7i+iiBeuXLkybty4169fsy7/kFu3bqFc7NWrl7GxcceOHblTfV6+fMn2qw3saOzYsaTS9AwFR5GqoFGk5Qg8HjQICX2CIFQPoufJkyeXLVs2ePBgJyen5s2bBwUFzZw5c8eOHRB2bG/VkZOTM7c24uPjw8PD3dzcmjZtitfsYlXwww8/oJ6ZNWsWu0ClfPXVV2yTqsFXgO8gnVGksctUAbYPL7Rp0yYsLKwGc6WkpLx584Z1tnzQGTUkPnNAQICRkZG3t3dsbGxeXl5lZSXbVQ7YAnbKfg5Cl6nrKKo/NIq0GeHHg6YgoU8QhGq4evXqxo0bJ0yY0KFDB6grLy+vn376KTs7+/Lly2xXDXH8+PGYmBhzc/MuXbqkp6eLRCK2R725e/cuZHHHjh3Ly8vZZaoGQp9tUgM3btzo2rWrr6/vlStX2GWq4OnTp1lZWT179kRFERERsWvXLtVm35cvXxYXFy9evDg0NNTS0tLW1hZFBUrQ0tJS1e6IIAhCCyGhTxCEklRVVUGWxcfHBwcHQ6U5OjoOGjQIEurYsWOvXr1ie2uOioqKefPmOTs7u7i4JCYm3rx5k+2hIrZu3WplZTV37ty3b9+yy9SAMEJfXH0efFpamoWFRVJSkvq+2sOHD7EX1GCmpqYjR448cODAu3fv2E715vr16yhHUe+1b98e5ai/v/+UKVPy8/Pv37/PdiUIgtB9SOgTBKEob968OX369PLlyyMiIqCbJU/IUcddDuvJkydP1qxZAyVnaWk5YcKE0tJStofqePr06dChQ2GTkydPssvUhmBCn+PWrVuo6L7//vuysjJ2mUqprKxMTk729vZu0aLF+PHjS0pK2B4q4vnz50VFRaj9QkJCTExMUKkOHjw4NTUVg1x99QxBEISQkNAnCKImbt68mZeXN3HiRF9fX+4OOWPGjMnIyLh48SLbVTtANbJ9+/b+/fujDgkPD9+9e7e6Rdvhw4ft7e1jYmJ+/fVXdpk6EVjoc2RmZqJwmj17tgDnvdy4cWP+/Plubm4w7/Tp08+ePcv2UClXr17NysrC8OYO9gcEBHAH++/du8d2JQiC0BFI6BME8QHPnz8/ePDgwoULQ0NDraysrK2t+/Xrt3jxYshZFd4hRx0UFxePHj3azMwsMDAQpcizZ8/YHqoGYhdasGXLlgUFBewy9aMRoS+uvg4BY8Pd3V2tP5JIcuHChVmzZrVq1crZ2XnOnDlqulpAEgye/fv3JyYm9unTx9TUFJUGd1rayZMnBahwCIIgVAUJfYIgxJcuXYIyhkpu3749/8iqrVu33r59m+2qfZSXl8+ePdvR0dHNzS0pKUnxO6vUk7Kysnbt2g0cOLCqqopdJgiaEvocmzdvbtGixdSpU4W8HgM6e9KkSaisMFAXLFjwyy+/sD3UA8bYhg0bYmJiPD09jYyMOnXqxN3GR33XexAEQagEEvoEYYiIRKKCgoK5c+f26tWrefPmrVu3joiIWL58+ZkzZ9R9oouqePTo0cqVK318fKytrSH+1H1ehyTv3r1btGiRhYUFxB+7TEA0K/TF1S4IDw93dnY+evQou0zNHDlyZOzYsZaWltDcy5Ytu3PnDttDbbx48eLw4cOLFy/u169fi2pCQ0MxHrT/Jy+CIAwQEvoEYRC8f//+3Llza9euHT58uKura9OmTbt16xYXF6ed19HWwKtXr3Jzc0NCQlCfDBkypLCwsD4P01WCiooKf3//wMDAW7duscuEReNCnwNDqGXLljExMQKcK8UA12MAYEibmJh07dp1zZo1Dx8+ZDupGQwD6YtY1q9ff+HCBbYrQRCE4JDQJwi9paqqaufOnTNnzuzevbuxsXHbtm2HDRuWlpZWVlYG3c/21m7wgQ8dOjRixAhIuqCgoA0bNgh85SvHunXrLCwsUlJStMGAWiL0xdU/EEVHR9vb2+/bt49dJghv3rxBvREREcHdCSozM1MdD0moFea2VM2aNeNvSyV8BUIQBCEmoU8Q+gTUJ0T86tWruVs9QvT07Nlz9uzZe/bs0YjuUQkXL16cMWOGra2tp6dncnLy3bt32R6C8ODBg759+3p5eV26dIldpiG0R+hzFBUVOTo6RkVFPXnyhF0mFC9fvszNzeXuuRQaGpqTk6ORgpADdti9ezcmYK9evVCgOjg4hIWFoUosKSnB52R7EwRBqAES+gSh20DBQ0zMmjWrR48exsbGrq6uI0aMSE9P1/UzByDoIesh7iHxIfQ1ezfP/Px8a2vrmTNnatUdV7RN6Iurz1+PjY21sbHZtm0bu0xYnj9/np2d3bt3byj+QYMGbd++XciLhmUi+ejoJk2aYGyPGzcuMzNT16cqQRDaDAl9gtA9zp8/Dyk/fPjwtm3bQtwHBQXFx8fr9GF7HijFDRs24BuZmJigYjl06JBmT5J5+vQp7Ozk5HT8+HF2mabRQqHPcezYMYzMgQMHasPjZquqqtatW9etWzco/qFDh2KaaEO19vr165MnT6ampvIn+eATTps2DQWJkBcWEwSh95DQJwgdAHKzoKBgzpw5PXv2hCZwcXGJiorS0bPtZfLbb7/t27dvyJAhUGN9+vTJzc3V+PFXcfWtXRwcHMaMGaOdd1PRWqEvrhayM2fOtLS0zM7OZpdpCFQdK1euDAgIMDU1HTly5IEDBwS+jLsGuLtgJSQk9O3b19zc3MbGJjQ0NCkpqbCwUA+qd4IgNAgJfYLQUsrLy7OyskaPHu3h4WFkZBQYGBgXF7dz504NngCtDk6fPh0bG9uiRQtfX1/oMC25BRB06uTJk6G39u7dyy7TGrRZ6HOgEPX09AwODtb4HYokqaysXLp0aceOHa2srGJiYoS/N2it/PLLL1u3bsUI7NKlS9OmTdu0aYMaODU19eTJk9pQABMEoUOQ0CcIbQEpvLi4ePHixaGhoebm5vb29uHh4cjuZ8+e1Z5Dj6oCyi8xMbFt27atW7eeM2fO9evX2R6aA/LU3d09LCzs8ePH7DJtQvuFPnj79m1SUhLGM6o4bfv1qaKiAoMQhXTLli2hqiGj2R5aAIx2/vz59evXjxs3zsvLizu5f+zYsenp6Rio7969Y1cgCIKQgIQ+QWiSu3fvbt26deLEiT4+PkZGRt7e3rGxsVu2bNHX83RFIhEESpcuXaD8IFyOHTvG9tAoKKgWLFhgaWmZk5PDLtM+dELoc1y9etW/Grxgl2kBV65cQbXp4uLi6Og4c+ZMCGi2h9bw+vXr0tLS5cuXDx061M3NDUHDz88PQWPTpk3aaVuCIDQLCX2CEJR3795BRqxYsSIiIsLBwcHMzCw0NHThwoVHjx7V4zvuvXnzJj8/f8CAAc2bN//xxx937NihDRdEMly/ft3X1zcoKKiyspJdppXokNAXVx+ZXrlyJQq8pKQkrX36MuZmXFwc5D5EP6Q/CgC2h5bx7NmzgwcPLl26FJMLHxvzq0ePHtOnT9++fbtWnS5FEISmIKFPEGoHybiwsBC6ASKyadOm7u7u0dHRmZmZhnAErri4ePTo0ahnunbtun79+qdPn7I9tIO0tDQLCwsUYOwCLUa3hD4H1GdwcLCnp+fZs2fZZdrEiRMnJk2a1LJlSw8Pj8TExBs3brA9tJKqqqo9e/bMnz8/NDS0RYsWKKtCQkJmz56N0lob7oBEEITwkNAnCLUAQfPzzz+PHz++ffv2RkZGXbp0iYuL2717t4HcQ6O8vDw+Pt7BwQFVTVJS0u3bt9keWsOdO3d69erVsWNHfGZ2mXaji0KfIzs729LScsaMGdp/aenRo0djYmIgmr29vZcsWaLNI1mau3fv5ufnz5o164cffkCxzd3MB3ULigEtv/6EIAhVQUKfIFQDd07O8uXLw8PDbW1trays+vXrl5KScvLkSS08TUVNPHjwIDU1FZIIkmLy5MnafK4zR15eHjw1f/58rT2ZpAZ0V+iLq292GRYW5uzsXFxczC7TPjC7Dxw4EB0dDbns7++Paa6pJzTXh5s3b27btm3atGlBQUHNmze3t7fv37//woULCwsL9exeXgRB8JDQJwjlef78OXLk3LlzkTiNjY3d3d1HjRqVnZ197do1tqte8/Lly5ycHO4ppFFRUfv379f+m4GIRKLBgwe7urqePn2aXaYj6LTQ59i+fTtqwpiYmGfPnrHLtBIU7QUFBRjkGOqBgYFr167VkhvCKkF5eXlubu6kSZO6du3arFmzVq1aDRgwYMmSJZi/BvLDI0EYAiT0CaJu3L17Ny8vb8KECZ6enkZGRp07d46Li9u1a5cBpkaoeWgCTvT06tULWl9XridGeWZraxsbG6v9p47UgB4IfXF1xTVy5Eg7OzttfmSBNK9fv87Pz4+IiMDgR52fmZmp6xHgypUrmzZtmjhxImKasbGxs7NzWFhYcnLywYMHtfbSGoIgaoWEPkHUzqVLl9LT04cOHdqqVStTU9PQ0NClS5eeOHHCcM7JYSgrK5syZYqNjY23t3dqauqDBw/YHtrKr7/+GhMTY29vD/nCLtM19EPocxQVFTk6OkZGRlZVVbHLtBsUt7m5udwdpfr06bNx40btfI5yXUHQQ+mOYtjf379p06YuLi6DBg2C7j906BDpfoLQIUjoE4QMoOCPHz++ZMkSaHoo+9atW0PlQ+tfvnyZ7WpI3L59Oykpyd3d3cHBIT4+XufuGoTazNnZOSoqSj+Uij4JfQB9DFlpbW0N3cwu0wWeP38OlR8SEgLFP3DgwLy8PF35gUsRLly4sGHDBjjIz8/PyMiIdD9B6Aok9Ani/0C6KigomDlzZteuXZHJPD09kdWQrXXxqjvVAsusX78eZjEzMxs9erROXD3JgMoNnoWI3L59O7tMZ9Ezoc+BYszNzQ0Ftu4+M04kEmVkZHAXvEZEROTn579+/ZrtpOMwur9Nmzbh4eEpKSmHDx/WlcstCMJAIKFPGDQQ8bm5ufxNMAMDA+Pj4wsLCylXiavF8Y4dO8LCwqBXBgwYAL2io6cqXbx40cvLq2/fvjp0ipEi6KXQF1cPvDlz5lhYWKSnp7PLdIpHjx6tXbsWFbKJiUlUVFRBQYGOzqCaef/+/fnz57Ozs6H7fX19EUjbtm07ePBg6P4jR45QLCUIzUJCnzA4rl27lpGRMXz4cCcnJ+6E++Tk5JMnT+riDRbVRElJydixY83Nzbt06QKxpbtXGb579w7OhWRcv349u0z30Vehz3HhwoWOHTt269ZNVx5WVQN3795dvny5v7+/mZlZdHT0gQMHfvvtN7aTvsDp/qysrAkTJnTq1KlJkyaurq4RERHLli07evTo8+fP2RUIglAnJPQJg6CsrGzFihU//vijtbW1ra0tsk5aWtrFixfZfoZNeXn57NmzHR0dkZgXLFhw69YttodO8csvv6BQ6dy5M16wy/QC/Rb6AGqYq9PwXz+U8e3bt5cuXYoCxsrKaty4cUeOHIEsZjvpFyi2z507l5mZOX78eB8fn8aNG7u7uw8ZMgS6v6SkRD8uXCYIbYaEPqGfvHnz5tixY4sWLeKujWvTpk10dPSGDRv0VfPVh4cPHy5fvhw5GFXQpEmTzpw5w/bQQTIyMiAQIaq0/47+SqP3Qp/jxo0b3bp1gzi+cOECu0xnqaioQC3dvn17Gxub2NhYBCu2h56Cgq2srAzTE7rf29ub0/2RkZGc7v/111/ZFQiCqB8k9An94cWLF/v37589e3ZgYGDTpk29vLyQQbdt2wYhy3Ylqm8L+PPPP//www8ohIYOHVpYWKgfB00fPHgQGhrq6empT7pQJgYi9DnS09NRuc2ZM0fPTnMvLy+fO3du27Zt7e3tp0+frh9ltuJwun/dunU//fRThw4doPs9PDyGDx++YsWK0tJSnX7MBUFoCST0Cd3m2bNne/fuRYLs1KkTxH1AQMDMmTMLCgroCjB5vHv3rqioaNiwYdD3wcHBOTk5+nQULT8/39raGmNAz+SgTAxK6IM7d+6ghHN3dz9x4gS7TPc5f/78rFmzWrdu7eTkFB8fr/dlqkwwbc+ePZuWlhYdHd2+fftGjRqhYh81ahRa0G4Ik5ogVA4JfUL3EIlEO3funDx5sre3N8R9t27d5s2bd/jwYTr8UzP8U646dOiwbNmy+/fvsz10madPn6J6cXZ2Pn78OLtMTzE0oc+Rm5uLWm7ixIn6VKBKcvr06WnTptnb27u6uiKylZeXsz0MhpcvX6KoS01NHTp0KAq8hg0bInaNHz8+MzMTdRHbmyAIWZDQJ3QDiPv8/PzY2FhPT0+I+6CgoMTExOLiYjrGUyuVlZULFy7knnI1a9YsnXvKlSIcOnQIwmjcuHEGdW2fYQp9UFVVNWTIkFatWhUVFbHL9Ihjx44h4qEyb9++/YIFCyoqKtgeBsbz58+PHDmSkpIyaNAglPRIBJ07d0bJh9rv2rVrbG+CIKohoU9oL48ePdq6dev48eM9PDyMjY179eqVlJSE5Ef3wVSEp0+fZmRkBAYGck+5Onr0KNtDL3j16hUyva2t7b59+9hl+o7BCn2OvXv32tnZjRw5Undv/6oI79+/P3z48NixYy0tLX18fJKTk1G6s50MEvi9sLBw4cKF/fv3x0gwMTEJDg6eOXPmjh079OznSoKoDyT0Ce0CATo3N3fcuHFubm7NmjULCQlZsmRJaWmpflwnKgDcU65+/PFH7ilX27dv1+MfPc6cOePq6hoeHv7kyRN2mQFg4EJfXH2JDmKFjY1Nfn4+u0zvQAwsKipCYWNqahoQELBixYp79+6xnQyYR48e7dy5c/bs2b1794aJUPyjAFi8ePGBAwfoki3CkCGhT2ieO3fubNq0afTo0W3atIE8DQ0NTUlJgYbT+ztMq5aSkhKIHj14ypUivH37NiEhwdLSEmUhu8xgIKHPUVxc7OzsHBYWZiDHcVG67927NyoqCtEyMDBw7dq10LhsJ4Pn+vXrCA4TJ0709/c3MjJyc3ODxVauXHn27Fn6TZgwKEjoE5rh9u3bGzdujI6ORoY2MzPr379/ampqWVkZ24+ojWvXrs2ZM6dVq1Zt27ZNTEzU9adcKUJ5ebmPj09wcDBKRHaZIUFCn+fVq1czZsxA4bdhwwZ2mf7y+vXr/Pz8iIgIKP6goKCMjAz9Lu+V5t27d0gu6enp3M18mjRp4uvrGxsbi0qArnwg9B4S+oRwIKRmZWUNGzYMqhQpOSwsbOXKlYZ5F7n68/DhwxUrVnBPuZo4caLh3H4b39rCwmL16tXsAsODhD4DZoGnpycqQEModyV5+fIlNOuAAQOg+Pv06bNx48bnz5+znYjfgXEOHTq0ePHifv362djYmJub9+3bNyEhYd++fVQpEfoHCX1CvVy7dm3dunWRkZF2dnaQpOHh4WlpaZcvX2b7EYoh+ZQrWFVvnnKlCJWVlUFBQb6+vnSHDQ4S+tK8fft2wYIFkG4rV640wHP/Xrx4AZUPrc9dogP1j4jBdiI+5M6dO/n5+dOmTeOetOjm5jZ8+PA1a9aUlZUZ4BAi9A8S+oTquXHjBsR9RESEjY2Nra3tkCFD0tPTDflu0PXn3bt3Bw4c4J9yhVyurzcRl8emTZssLS0TExMNp7CpFRL68rh69aqfn5+/v7/Bhh2RSJSZmdmzZ09EjMGDB0PIvn79mu1ESMGd5AOVD63v6uoK3Q/1P2PGDBjwwYMHbG+C0AVI6BOq4fbt29nZ2VCi9vb20PcQ9+vXr4fiZ/sRdeTcuXNTp07ln3JlgPfZqKqqCgsLc3d3P3v2LLvMsCGhXwPv379fsWKFubl5UlKSIV98+ejRo/T0dKhVKP6oqKi9e/fq8W24VA7qpX379s2bN693794mJiaOjo7h4eGpqamnT5825EFF6BYk9AnlgejctGlTdHS0k5OTpaXloEGD1qxZY7CH0FRLZWXlokWL2rVrh8Jp5syZV65cYXsYBtAlLVu2nDx5Mh2PlIaEfq3cvHkzODjYy8uLLvRHuEblExAQYGpqOnLkyKKiIvpxrK5cvXo1Ozt77Nix7du3NzIygjGnTp2an5//8OFDtitBaA0k9Im68fjx4y1btowbN65t27bNmzfv16/f8uXL6YJaVfHs2bPMzMxu3bohGY8aNerIkSNsD4PhxYsXSKgODg6HDx9mlxHVkNBXEIgzS0tLFMxULoqrDyIkJyf7+PhYWVlhiiHI0JnoSoBYvX///oSEBO6KqdatW0dERKCUOnv2LFVQhFZBQp+onadPn+7YsSM2NpZ7Qi3iGvIEnUehQt68ebNr165BgwZxtdO2bdsMXJEcP37cyclp2LBhGHvsMuJ3SOgrzv379wcMGNC2bdtjx46xywyVioqKBQsWtG/f3sbGBuGdLFMfLl++nJGRER0d3a5dOyMjo8DAQBSWu3fvptv4EBqHhD4hm5cvXxYWFs6YMcPb27tp06ZBQUFJSUknTpygYxWqBYr2p59+srCwCAgIWLt2rWE+4VUS1DxIkNbW1obwrNN6QkK/rmzdupUTtS9evGCXGTDl5eXz5s1DFWRvbz99+nTDuVevmnj69GlBQUF8fHyPHj2MjY3d3NxQAKAMuHr1KtuVINQPCX3i//P27duSkpKEhISuXbsiPEF6zp079+jRo3Txlsq5ceMGbOvk5OTi4gKD//LLL2wPg+TSpUteXl59+vQxkEec1hMS+kqAWjoqKsrR0bGoqIhdZvCcP39+1qxZrVu3RmiCTr148SLbg6gj3G18VqxYERER4eDgYG5uHhoaumTJEqRaA//ZlhAMEvrEf4J7SkpKSEgIxD1k1pQpUwoKCuiIlzp4/Pjx6tWr/fz8rKysYmNjT506xfYwVN6/f79s2TILC4v09HR2GSEHEvpKs2/fPnt7++joaDqzQiYITVOnTrWzs3Nzc5s/fz49uUJV3LlzJy8vD8H/+++/NzIyQi6YNm3ajh076LdcQn2Q0DdQbty4AUUVHh5uaWnp7Ow8ZswYRJ+qqiq2H6EKXr16BfOGhoY2b948IiJi7969dGs2SW7duhUYGOjv70+Po68Z5uZLjNA32FszKcezZ89iYmJatmwJmcUuI36npKRkwoQJNjY2Xl5eixYtunnzJtuDUJYXL14cOHAgISEhODi4WbNmrq6uqDyzs7OvX7/OdiWIekBC34C4f//+pk2bRo4c6ejoiMAdGRmZmZl5+/Ztth+hOg4fPgyDm5iY9OjRIysry2B/J0FhI+9xyBs3brSwsICGePfuHbuM+JDk5GTJexBJCn20Yyn/llCQo0ePOjs7h4eHP3r0iF1WDcYtleXv378/dOjQ6NGjMVX9/PyWLVt2584dthNRD2Bh7gyfQYMGofhs0aLFwIEDYeezZ89SYCTqCQl9PefXX38tKCiYPHlyu3btuDu6rFy5Up7kIlTFpUuX4uLi7Ozs2rdvv3TpUkqK0PHS92CtqqpCMsPIpHucK8jDhw/Nzc15rc8L/f3796OdbuatHK9evZo6dSqk1ebNm9llYjHGLUYv22qooOYpLCwcPny4iYlJ165d09LSaNSpg5s3b+bk5IwZM8bd3d3Y2Lhnz54JCQmotV6+fMl2JYjaIKGvh7x///7kyZOJiYncNbX4j9cnTpygAwPq5t69eykpKV5eXi1btpw+fbq0tDVMbty40axZM+aSbtSf9CQsJfD39zcyMuK0Pif0YcmGDRtGR0ezXYm6UFpaClEVGhp69+5dyXaMW4xeOqmMAWbZuXNnRERE8+bNg4KCMjIy6GoHNQHD7tixA7Wor69v06ZNO3XqhNcwPhmcUBAS+voD5NSaNWsGDhyIyIuMNWnSJCiAX3/9le1HqBoYeePGjT179jQxMRk+fPjBgwfpATSSeHh4ODs7829hrpiYGHt7+0OHDkn0IhRi27Zt0PeQntD6eIE5/u233zZo0IB+pqs/EK/x8fGWlpaZmZmS7RirAQEBki0Ez8uXL/Py8ri806dPH0RCgz1BUQBgbUz8hIQEFFcQ/QitiKWbN2+mH42JGiChr9s8efIEQXbUqFHcafdRUVGIs/fu3WP7EWrgt99+KywsjIyMRIYLCQlBtH316hXbyeCBZoIehQ7g3paWlrq4uAwdOpSehKU0ZmZmEKMWFhYw7HfffdeiRYtevXqxnQhlKSsr8/LyCg4OvnXrFtfSt29fmFrmiT0ED/Q9sg8iIeJhWFjYli1bKB6qFSSgU6dOLVu2LDQ0FDGhVatWw4YNW79+Pd0iiWAgoa97vH79+uDBg3Fxcd7e3txzalNTU+l4Xv2pqKhQ8H72kAKTJk2ytrb28fFZsWIFnaUqD5FIZGRkZG5uPnv27Ldv386dO9fKymrr1q1sP6IuzJ8/H7rT3d0dKh8vHBwc9u/fz3Yi6gHG6oIFC1BKpaWlvX//HqMXwxj6lU6WUIQnT55Abvbo0QMWi4yM3L17Nz2JRQAuXbq0Zs2aiIgIW1tbGxubQYMGrVq1ik4fJcQk9AVAVb+pXblyBbV7cHAwxL2fnx9yDz3KSoWUlpaOGTOGbf2QysrKhQsXQmBBWsXHx5eXl7M9iA8JCwtr0KCBs7Mzhm7Hjh179erFnABNKAGkZ8OGDb+qpmXLlu3atWN7EKoAIdfX17dr167Lly+3s7NDWQXZynYi5PPgwYPVq1d37tzZ1NR0xIgRRUVFdX2wuqqyp6FRUVGRnZ09cuRIxF4TE5PQ0NCUlJTTp0/TdXqGCQl99XL48GHIcbZVYUQiUW5ubnR0NNIMxOWoUaO2bNlC5zyoHBjZwsJC3i2inz17lpmZGRgYaGZmNnr06OLiYrYHIYtjx45xh5xbtGhhY2OzatUqtgehLFCcnNB3c3PLyMhgFxMqAsIINaq1tbWlpSWs3ahRo+PHj7OdiNqorKxMTk728fGxsrKKiYlRPCeip+T9ZAkluHfvHhIczO7u7t6sWbPevXsvXLgQw1jpo4RYka790y1I6KsRRKghQ4awrbXx22+/lZSUzJkzx9fX19jYGNNyxYoVdPBYfSxatOjrr79OTExk2t++fbt79+7w8HDutqTbtm1TOjIaILCera0tJ0YbNGjAveCA+vf29o6Njd28ebO84oqomSdPnmDQIj6giKLbFqkDWBVxeNKkSZ06dTIxMeHHsL29Pd1WX2kqKioQaT08PBAcpkyZosijwZFDSeuriqqqqvz8fMReT0/Ppk2bBgUFJSQkoJqqawyZNWvWpUuX2FZCWyGhry4Qm2o4SCwNeqanp3P3LsAknDFjxsGDB0lZqpX379+PHTv2q+qznCUjXWlp6YQJEywtLf39/desWUMPJ1cCVKrffPMNL+6//fZbpPa+ffuiar1//z7bm6g7Xbp0gYXnz5/PLiDqwYMHDzIyMvr06YMRy49e1FSSIxljm12NqCOXL1+ePXu2s7Nz69at4+PjL168yPb4HWRGZFLS+irn6dOnu3btmjp1aseOHSH6AwMD586de+jQIUUuoYZTzMzMEMzZBYRWQkJfLSAqNWrUaPr06eyCD3nx4sWePXvGjx/v4uJiZWUVGRm5ceNGkkHCAGUfEhICNzVs2LCgoEBcHbwSExPhCycnp3nz5tGds5UGpmvcuDHSM5IHTHrlyhW2B1Fvzp8/37x5c7oQXH0gIJSUlOTm5iYnJw8bNszPz8/e3r5JkybfffcdBQdVcebMmWnTptnZ2bm7uyckJNy4cYPtIRajEkCgJq2vPp4/f44kOGPGDO5W/Z07d4bNi4qKajhFB4EddS9K4hr6EFqCbKFfVVWFajsuLm4GoQCYD5LWQzyCdkQOlvlz2LNnz9AfOrJLly7GxsbdunVLSko6e/Ys208++/btQwnBfgiiNjCeMaq5w/MY4R06dEDORqgKCAhIT0+HO8zNzWNiYlR4Dq7BemrChAlTp05lW2sEhiosLGQtqE70wDuRkZFsk+4gvMdVmNcmTZrENhk8kgFWCVBTjR8/vkWLFt7e3qisKisr+UXIpCYmJsiqjNZXoUP1GEw0xDpJu9XMixcvMDFnzpyJyhai38fHJzY2NjMzs7i4+Pbt23w3OAV1b4MGDVq2bMmcxqMHoVVHwVyYM2eO9M3BZAt9dL1586aIUIyNGzdmZWVxpjt06FCjRo0gH3NycriWe/fu7dixY/78+f3793dxccHM8ff35+aeEqUwNpudnc1+AkIxMKoxtisqKhwdHY2MjOCmb775BnJ/4MCB8JFqT5QiT9UVmIt5UJH6IO9oA0J6XEx5Tf1wAZa1e1149+7dgQMHRo4caWpq2qVLl7S0NO43KyRZhOvGjRtLan1yqIIoPdFevnx59OjRpUuXRkREdOzY0cbGBl5o1apVnz595s6dm5SU1Lx5c7Qgh/K3BKDQqlkwI+bNm/ehG+UIfVQG7NpEjaD8hd3279/PqXzMhG3btkVHR7du3RoBKyQkBMp+y5Yt9b/b/axZs9h9E3UhKirK0tIS5RZ/0i2CFFp27tzJ2rp+kKeUAJGHtaN6IO9oCYJ5XEx5TRDi4uJYuyvFmzdvdu3aBX0JKdmzZ8+srCw7OzuEayMjI17rk0MVp9YTiRXk7du35eXl+fn5cHRAQMB3332H6gt+QUqFs3799VcKrRqHk6OSkNBXDahud+/ezd1MkDvw0KNHj9TUVJVfmU6zqD4UFhbCR99++621tbWtrS3qMQcHB7wwNjaG11xdXVX4eBHylBLMnj2btaN6IO9oCfHx8axv1AblNQFQeeX28uXL3Nzc0NBQTlByh2YOHTokJofWBXVMtOLiYg8PD/6GVEijTk5OY8aMYfdNCAsJfXXx448/St5jxMTEpGXLltwlnqqFBEo9wdiurKw8derUrl270tPTUaGNHDnyhx9++P77721sbJBLEhMTVXIOD3lKCUjoGxrq0B/yoLwmACoX+gCZ1M7OzsrKis+wjRo1OnjwIDlUcVQ40aqqqpYtW+bo6Mi746vqX1qaN2/+9ddff/fdd9u2bWN3TwiIaoT+w8cPs7ZkDxz2o5Obs6mlGXxsZmnepl2bodFRO3fvfPLkCbuCvlNSUgKVj/FtUU2zZs2427Gh0u3cubPid9hUhJoFCoyfm583eESEs7uL2f+5xgyv0YJ2A3SNNLXmIZQBKrmTCXlKCbRE6JN3BEOF+qNWKK8JQK0Btk4gewYEBEg+iKNx48ZNmjRBwoXWHzFiBLt7CcihkqhkohUXFw8ZMgSWh8gxNTV1dnbu1q3bmDFjVq9evWvXrlOnTiF7UmjVOPUV+o+fVK3amObQxtHe2WHg2EHzshes2JuWczoP//EaLfYuDi6ubbZtN7h6bu7cuZL3Yps4cWJISEi7du3MzMxUeJBYXKNAycnb1Lpta7mucXbAUvRhVzMwVJuHaoA8pQTaIPTJO0KiEv2hIJTXBEBVARYZE3kTmhI51M3NLTg4eNSoUcityLDIs9zhM3Ko4tR/ol2/fp2T8uyCD6HQqnHqJfQr79/pG9nPyq5F7JIpcI+8Pyy1trOJHj3q8ePH7Cb0Fwh91ogSICrduXOHbVUKmbMIph4yIrKFAq5BH/Q0KNcwqCoP1Qp5Sgk0K/TJO8JTf/2hOJTXBEBVARYZs9Yfw8mhiiPYRKPQqnGUF/qYPB06e7f381x3JEvaPcwf+nj5f9+jZ5DheKtmoa9CpGcRjBzQrbPirkFP9Dcc1zCoKg/VCnlKCTQo9Mk7GkEw/SGmvCYIggVYMTm0Lgg20Si0ahwlhf7jJ1UokWH9DaWbpR0j8w89OwR4G8711xoU+kOjo+rqGvTHWsx2DATB8hB5Sgk0KPTJOxpBMP0hprwmCIIFWDE5tC4INtEotGocJYX+qo1pVnYt0g/XXo1J/qG/nYNdfn6+5Kb0FU0J/a3btrWws1bCNVhrq0FeGi9YHiJPKYGmhD55R1MIpj/ElNcEQbAAKyaH1gXBJhqFVo2jjNB/+PihY5tW8s6syizZOHPtnEkp01J2rMDb7JM/Sy6dvHRaO492Mq+kvnHjxokTJ+7evcsuUIzHjx8/+p2qqip2cT3Ap1XiNyONCH181DZubZRzDdbCuoxr1GFVbptsq0ikwl3UCcHykGCe4uAGrUxTq8OtDDL3qwQaEfqq9Q6sLdPINZuo5qW1cufOHYTTc+fOsQu0HsH0h1ideQ1OZ2aocnlEaSoqKoqLi69evcouUBalB6RgAVasZofyMZNHppKpK9LxgdkyXj+SZXyZjYoj2ERTX2jlUfloVxOa8rUyQj9rS7a9i4O0k/D344TBf//873/4HRNr0z/9+U9xabMl+7RxbbNnzx6JzyDCW0dHR/T/+OOP//jHP3bv3v2XX36R7KAI//u//8vvF/z3f/+3m5sbUh3br+5MmzbN3t6eba0NjQh9WNLBxVHaLwq6BusyrlGHVbERbKqwsFCyMTk5GY19+vSRbBQGwfKQWj3VrFkzfhUO+A7zCC+OHTsm2VOkHrdKcuHCBWz27Nmz7IK6oxGhr1rvuLq6+vr68m850tPTP/nkE3mBrj4GhLs9PT3/9Kc//fWvf0U4/fbbb5cuXcp2EoTc3NytW7eyrbUhmP4QqzOvYYrNmTOHfwtWrlwJp0i2qBBJU1++fBkD4I/V4NPa2toeOnTow+51Rl4kUQTBAqxYnQ79+uuv+f48y5Yt4zsojY+PT7du3fi3GRkZ2PLAgQP5loSEhC+++IIRuJIe0fKJpr7QKlLPaFcfmvK1MkJ/4LAfw8YOkvZTv9ED8Wn++e9/dv8xKHRU/zbebTnTD4sbKdlteOzImJgYfms7d+786KOPhg0bdu3aNbw9cuSIhYWFk5MT30FBEFinTJlyrRoUdrt377a2tm7RogXbr+7okNCPHjuqPq7ButiCxJdQi1UhKz/99NPhw4dLNnp5ef3lL38xHKGvck9B6EdGRh6ToLS0VF56VodbJamPTmXQiNBXrXeWL1+OsV1RUcG3gE6dOgUFBUm2SKK0AU+dOvW3v/0N6eT06dN4e/fuXRjwz3/+M+oKtqv6wZhcsmQJ21obgukPsTrzmsBCX9LUiKVIoCdPnoRcwEDy8/ODSL13796Ha9SNBw8eJCUl3bx5k12gAIIFWLE6HQobjhw5UjLAglu3bvEdlPXzwxYAABiQSURBVAYD/ptvvuHfDhgwgLsHN98SGBjYvXt3/i2HpEe0fKKpL7SK1DPa1YemfK2M0Hdyc5qXtYDx09pDmX/5+C9ffPXFioI1fOMPw/rAVSPiR0v2XJyTjAqM3xrkRa9evfi3oLi4+F//+tfhw4fx+v79+9nZ2UuXLi0oKOCqnMLCQigYvjNy4b59+0SyAitXLfH5FZlv8eLFaGSOomFHaF+0aBFqDMn2/fv3L1y4EBtnhD6zHfgANRZ8gHR+8OBBvptGhL6bh3t9XIN1sQV+ayIFrAphkZqaikauZfv27VeuXOEWIQ4eOHCAew378GUohD6K2kaNGnFvRdVnbX322WceHh680Jd2ysOHD2FnCBdIluTk5EuXLtXczqGIswTLQ2r1FOb/5MmTJVtEHx4JePToUV5eHjd3anWrzMkiPRk5mDEgktCp8marSNYuZHpHI0Jftd5B1vn8888XLFjAt6C++uijj/inRUqPdt6AsDlswuetc+fO8QYUybIhJH6rVq2YA0IDBw7s3Lkz/1Z6LW4SYYTk5OTAvyUlJXxnmf2lPSX9FRA/kdKGDRvGb016nEhvRySg/hCrM69JTzFe6NcQsuRNsZpdsGLFCklTf/rpp2jh18Vga9q0KR+KRVJbY7wgc85ibHCfmWuEK/Eh16xZc/v2bb6n9IfkECzAitXpUMhHqCX+LQ9jPZlDmhn5TB8IHuydP8sOsg+GRXHO/8SKXcPazFq8R6QnmrQjZH4qwSaa+kKrSP5olxc5udmH/5hoiFeItGiETfCaO8ug1g480kFP0s6Y75KH2LCdPXv2KOhrZlNwcT19rYzQN7UwlfQH9xc9Zyy+wIBxP0o2rt6/rmPPTkzn1fvWWVtbc5s6c+YM1pL3eOTKykqUOyjXUAng+3fo0AGN+JIuLi58HzRGRkaKZAVW1N9///vfuTOikGX/+te/+vv7u7u7N2jQoKioiOsTEhLy5ZdfBgcHoy5EBcmXSsOHD4f07Nq1q4mJiaWlJS/0pbdz+fJlfIXWrVvjA6Aa47qJNCT0Laws6+MavMUW+K2JarPqpEmToNphjTZt2qDnrl27INajo6O5no6OjnzxCms4Oztzr7EKhiD+85IF1WpAQAC2wwl9mU7BBMa3sLOzg8fRE6tDttbQLlLYWYLlIbV6qmah//jxY0g9FNXXr18X1eZWabuJ5ExGkawxIJLQqfJmq8xdyPSORoS+yr0TFhbGj39RdYpFNuJeyxztvAGZQ/uSBx2kbXjr1i3UD8gcXAcehH7+tfRaot8nEVpgfHzO//qv/1q9enUN/RlPyfwKI0aMwMBA8IQHRXLGiUyPC6Y/xGrLayJZU4wX+vJClrwpVqsLkKQkTY1GGxubHTt2yLwyRHprjBdkzlnJQwaYKZ988omfnx9cCb9DxcrcLL8FwQKsWJ0OlSf0GetJD2npkS/dBxbj1CoEH8wIeYqlXESCedEZ1SCzFu8RZqLJdIT0HkUCTjS1hlZ5o11e5ORmn4+Pj5ubW8uWLZH1oFgw7yBdELugTGrtwG1QZtCTtLO5ubmFhcXvH0fUo0ePAQMGiBTzNbMpeLOevlZG6H/73bfZJz64SAJ/faP7Y+tTls9g2mX8ncxr2LAht6mtW7diLXwyfuOSZGVl4bNyr1ESfP/99yiI8W1h1vPnz6Px6tWrKIa4cgo9ESL7VdO3b1+kq48//pg7hQ4uhzl+/vlnblMTJkzgJjCKIazFxSkQERHBBThUXdhFQUGBqPpoHLzFDRGZ2+HMGhX1nxs/SV4woRGh/91339XHNVgXW+C3JqrRqjA7BMGWLVu4niiNjIyMkNsw60TVh/BRamNQcgeHPD09+SGExnXr1qGIQkbhWlxdXdPT0/2rhb48p3DTb8iQIVx7TExMkyZNamhX3FmC5SG1egpCH/Z3kwAxjksGR48exYSHsOCL/hrcKtNuIjmTUeYYQFHBB1mZs1XeLmR6RyNCX+XeOXDgAAxVVlbGvcX3nTJlikh+CKpV6Mu0IQI9OvMHh6DvL0ggby3R75MIxR7XjmkIUVJDf0lPYXcyv4JI4ldmeeNEpscF0x9iteU1kQJCXzpkyZxiirgAppP8QR+jBe7DUmgUyPR58+bxR+Jlbo3ZlMw5y8tKbAEt+KjcFnx9fcPDw2VulnstEjDAitXpUAj9Ro0atZaAmyOM9Zi3Mkf+xYsXmWHfs2dP7kRtDH7uZ4Tx48dzLxYvXszpRWbLkqUX7315jtDsRFNraJU32i/IiZzc7ONOykJtALc6ODhwV8kjFULf19pBJD9uS9oZfTCPuDNTUMPDL5ykVMTXzKa4j1QfXysj9M0szaRrspDhodj6tJUzpX3D/GUUbeCjwPbt27EWl4SkOXnyJL4JVOD8+fP5HAlgdy5N4tOj5OIaYXeIm6FDh/bv3//zzz9HHy5UiarPkYW4XPM7GHbYKXdoE9y+fXvfvn1QOdgRtzVoC2NjY24pmDp1KjdEZG6npKQE/6VvxaURoW8pq1xW3DVY11LqiL48q06fPh1jju/JzSvYAYMb4xLCHVUm1k1MTMTE++STT/hZwQl9dODC6JUrV/7xj3/cv3+fE/pcH2mncGMdQ4LrwP0WhLkkr11xZwmWh9TqKfgCymCaBBjhXDJAToLCkJxlNbhVpt2wKZmTUeYYQE/JICs9W+XtgotQjHc0IvRV7h1R9TmKkyZNElWrXkgl/gw3kazRzhtQXrqSacO8vLw/SFySsWPHjj9IgKAvcy1YnptEe/fu5VZEsuTyjbz+0p6S/goiiZwkb5xIb0ckoP4Qqy2vgS+//FJa6MPvIvmhTOYUU9AF0mfuIt4mJCR07twZq2PptepL4GRuTToqSs9ZXlampKT8+9//5ntyAkjmZvkMK1iAFavToRB8MGaCBAuqT8ZjHMG8lTnyd+/ezRg8OTmZm3FeXl5cIIIoxGBArd67d28EapHUlmUKfXmO0OxEU3doFcka7fIiJzf7+JNwWrVqNXbsWO414rOTk1OtHbjXIllBj7EzJBAnuJcuXWpiYsI1KuJrZlP197UyQt/F3UX6LKthcSOx9UGxEdK+Yf5W5q3mT33jSlv+XAse2ALhT1R9FlRISEiDBg3QzdfXF4WRqPpMD85SmIfISdwqkkdQSktLIV9CQ0O5t/jwqPY6fQi2jyCFEu3jjz+GD7p3745G7mj0Tz/9hEjHrSuqdhI3RGRuB07CZ5M8qZFDI0Lfo71HfVyDdbEFiS9Rk1VR8kJB8j2h5rEXaAsIGqS0AQMGIFXExsZ26dIlIyPD3Nyc78kJfSj7zz77DNbD9jG+0c4JfXlO4abfzd+vBuOG/sGDB+W1K+4swfKQWj3VTP6pOy4uLlZWVrAq316DW2XaTd5klDcGJIOs9GyVtwsuQjHe0YjQV7l3RNUBwdTUFC8Q+v38/LhGeaNdntDnDzrItCGGPSq6Nb+fuoON/1LN2rVr/1At9GWuBctLHjESVd/5wczMTN5eGE/J+woiiZwkb5zI9Lhg+kOstrwGmjRpAmfxb8GiRYtgTJH8UCaSNcUUcYFIwtTl5eVMPkWS/eqrryZMmCCS41DpqCg9Z3mpgbjRvHlzvieHzM1yQYNbytpdbajPoTWfusNbj3krc+RzF0RJGhw++uMf/3j16lUIPm4aVlVV/eMf/4Bca9y48ebNm0VSW5Yp/uQ5QrMTTX2htYbRLi9yMrEO3uHzJl7gba0dRPKDHmNnaHEMG7jSzc2Nq5xFivma2VT9fa2M0B8aHSV93fSq/enc5RSpe1bzjeuPZnfo3nFi8gf3TP1p6njJi9nt7OyYq4wR7PBBc3Jyzp8/zx9k2rNnz//8z/8sXLgQr2/dugUbQSzC0Px1XcxPpatWrcJG0tLS8BqZD+vyv2LAarm5uaifUlNT//a3v50+fZprHz16NOctKPsvv/ySP+ULg4YbIjK3c+7cOWmzijQk9GHYwTGRSrsG60q6RlSjVVGMISHxVuK8BmOOGzeuV69eTZs2RU0M933xxReQ77AtvxFO6Iuqf8OC6EGJzP38xAl9eU7hph/3Q5io+ppszJYbN27Ia1fcWYLlIbV6qgahX1xcvH///j//+c/8z3w1uFWm3TBZZE5GeWNAMshKz1Z5u5AZoTQi9FXuHVH11/zkk0+g52CxDRs2cI3yRjtvwEuXLv1B4myc4cOH1xCLYMMOHTq0atWKuV87YukfqoW+vLXkCX15/SU9Je8rAChCLifJGycyPS6Y/hCrM6+1a9cuODiYfwvCw8MlT5SSDlkyp5giLhBJmHrbtm2SJ4lxuLu7c2cKydyadFSUnrO81MjMzIS7+S0gpMTFxcncLH9liGABVqxOhyon9GWOfHhZethDMmLufPvtt3xLly5dIiMj/1p9GrdIasuS4o/3vjxHaHaiqS+01jDa5UXOWnV8rR1E8oMeY2c4Du5IT0//y1/+An3PNYoU8LVIvtBXztfKCP2du3fKvBPqwJhB2MEn//2JR2fP4CG9A0K7ftXwP0cmeg0N4fvknt0ON0jeCXX79u2QIPiScMzDhw/huSZNmqAAevLkCZTHP//5T86aMBOKnvXr13NrQSOibuvatSu/HelzIn18fNCIOIWwhRfwNPcwgt69e0OGYu7NmzfvX//6F3dkBXbBhOQOPF+/fh0WnD59Ol4j+GKGc0NE5na48aQlQh+GdW7ropxr8Id1mZvU1mBVZCZ4hJsDd+/e/f777zkrFRUVodD8/PPPYWEIDlgS+gZCk98CL/Szs7O/rIbTJZzQl+cUbvr5+flhKGMyeHl5oX6toV1xZwmWh9TqqRqEPhcgUFN98803nGFrcKtMu8GVMiejvDHAHE1hZqu8XciMUBoR+ir3Dkf37t0R2bhjPFyLvNHOGxAh8bPPPuOOBqFDzbEIm4WD4JE2bdps2bKFO8M7KSmpUaNG3E7lrSVP6MvrL+kpeV8BWFhYICtjYMgbJzI9Lpj+EKszryEZI6/Nnz8ftsV8Wbx4MbI4pxTlhSyZU0wRF4gkTI1FlpaWeJuXl1dZWQkNhIH90UcfcZ9N5tZkRkVmzvKRBNtE+8SJE0XVpy7Y2tqOGjVK5mb5QS5YgBWr06GYQQihBz8E86tmoS9z5Msc9oMGDYL3JX93XbRoEdb18Pi/A9g1CH3e+/IcIXOPgk009YXWGka7vMhZq46vtYNIftCTtnP//v0h6CV/GhIp4GuRfKGvnK+VEfpP5D/bbMSsUV83+uYPv/O3//msR3jwxtJcvsOStKX4MtiCxGcQbdq0CWZCfxRnCI5Qe7eqb0+LbgMGDIBMbNiwIdRhWFgYHzu4q3hzcnL4jUhrF0xCePqHH37A6927d0MJQX3CmtjX0aNHRdVRz8HBAUoUWQ3mw5hALObODkKahPP+/e9/oz/SMzdEZG5HpllFGhL6sFg7D48pydOVcA3WaiflmpqtiiKtcePGGPGwG7QFf543BCV/cgJ3X1t+dZGE0MdUhCXhVq6dE/rynMJNPyQeLEIxjd1xZznLaxcp7CzB8pBaPVWr0EdoQAnNOa5mt0rbTSR/MsocA4zQl56tMnch0zsaEfoq9w4HogpWGTNmDN8ib7RLGhCyG40wFKYVf1xKJMeGouobyXXp0uXjjz/mPiGC2LBhw/hfPmWuJU/oy+sv6Sl5X0FUffQO3by9vUVyxolMjwumP8TqzGt4HRsbC6Nxq2Bywe/clJEXsuRNsVpdIPrQ1CgSEHUhd7hdQ2dwP9ZxSG9NpheYOSsZSXbt2gVXfvHFF59++ilG2v3792Vult+UYAFWrE6Hfi3rgVn9+vWrWeiLZI186T6i329wvHbtWr6FCwLcAUeR1JYlPSLpfZmOkLlHwSaaWkNrDaNdZuSsVcfX2kEkP+hJ25k7L27VqlV8i0gBX4vkC33lfK2M0Afbtm+ztrNJP5wl7S38Lc1fHrdm9oKfF28o3SzZnntsW6tWrZirBHhQ+546dYr/vY8H5jt58iQn/esJ4imGBTNQYOLy8nLJFg4USfg83BXcDDK3w6ARoQ9gXntH+7q6Bv2xljzX1AxMIXlloUqQdgo//dB+QeK6UnntPLU6S7A8pHFP1QmZdpM3GZUbAzJ3waARoS8S1jvSo50BJTFiEf8rrSTybIhAeubMGagK6UUi+WvJo9b+8r4ChopkSFdknAimP8Tqz2twWVlZGffLDN9Yc8iSN8VqdQFjamQujBn+4AtDrVurFXxyvnrkkblZwQKsWP0OVRpFRn59YLwv0xEMgk00AUKrvNFeQ+SsP/KCniRFRUUQ4vwJOSpBCV8rKfRB9OhRXv7fM86o4S/vzPZu3bvx1y/rPZoS+gBG9u3ip7hr0BP9tdw1TJ1da7viCJaHDMRTqkVTQl9E3tEQgukPsYbyWv1Dlm4hWIAVa8ihOopgE80wQytqgOzs7DZt2vC3Edcgygv9x48f9+gZ1CHAe90R2ZWZ5F/e8f9MnuDgYOYqMT1Gg0IfRoap/bsGrDuSLe0L5g990FP7XXPz5k17e3vmspsa2hVHsDxkIJ5SLRoU+uQdjSCY/hBrKK/VP2TpFoIFWLGGHKqjCDbRDDO0njp16ssvv/T09JR8erSmUF7oi6q9NWbMGDsHu8lLp0m7h/vLPbt9SdpS7l6kuuWneqJBoS+qdg0M7uDoEJ86V9op/B+Woo+huYZBsDxEnlICDQp9EXlHEwimP8SU1wRBsAArJofWBcEmGoVWjVMvoc+Rn5/frl07F9c2wyaMWLwpeXVB+uYz29YXZa3KS/tpynh3d3cslXdmlR6jWaHPwbnG1c119MQxyT8vX1uYgZmD/3iNFrQbpmsYBMtD5Ckl0KzQ5yDvCIlg+kNMeU0QBAuwYnJoXRBsolFo1TgqEPqi6iup9+zZExMT4+XlZW1t/dVXX+E/XqMF7TVfJaCvaIPQF5FrFECwPESeUgJtEPoi8o6ACKY/xJTXBEGwACsmh9YFwSYahVaNoxqhT0ijJUKfqBXB8hB5Sgm0ROgTgiGY/hBTXhMEwQKsmBxaFwSbaBRaNQ4JfXVBQl9XECwPkaeUgIS+oSGY/hBTXhMEwQKsmBxaFwSbaBRaNQ4JfXVBQl9XECwPkaeUgIS+oSGY/hBTXhMEwQKsmBxaFwSbaBRaNQ4JfXVBQl9XECwPkaeUgIS+oSGY/hBTXhMEwQKsmBxaFwSbaBRaNU4dhP6qVatmEIqxevVqIYU+uUZp4KkZQuUh8lRdgXeEFPrkHY0DjwumP8SU19SPkAFWTA5VGCEnGoVWzQJf10HoszUCUSNCCn1230RdmCFUHiJPKYGQQp/dN6EJBNMfYsprgiBYgBWTQ+uCYBONQqvGIaGvLkjo6wqC5SHylBKQ0Dc0BNMfYsprgiBYgBWTQ+uCYBONQqvGIaGvLkjo6wqC5SHylBKQ0Dc0BNMfYsprgiBYgBWTQ+uCYBONQqvGIaGvLkjo6wqC5SHylBKQ0Dc0BNMfYsprgiBYgBWTQ+uCYBONQqvGIaGvLkjo6wqC5SHylBKQ0Dc0BNMfYsprgiBYgBWTQ+uCYBONQqvGIaGvLkjo6wqC5SHylBKQ0Dc0BNMfYsprgiBYgBWTQ+uCYBONQqvGIaGvLkjo6wqC5SHylBKQ0Dc0BNMfYsprgiBYgBWTQ+uCYBONQqvGqYPQpzuhKg7dR19XEPI2z+SpukL30Tc0hLy9t5jymvoRMsCKyaEKI+REo9CqWeg++mpESKHP7puoCzOEykPkKSUQUuiz+yY0gWD6Q0x5TRAEC7BicmhdEGyiUWjVOCT01QUJfV1BsDxEnlICEvqGhmD6Q0x5TRAEC7BicmhdEGyiUWjVOCT01QUJfV1BsDxEnlICEvqGhmD6Q0x5TRAEC7BicmhdEGyiUWjVOCT01QUJfV1BsDxEnlICEvqGhmD6Q0x5TRAEC7BicmhdEGyiUWjVOCT01cWcOXNYI6oHmkX1RLA8RJ5SAspGhoZgHhdTXhOEuLg41u5qgxyqOIh4rPnUA4VWjVMHof/kyRN2bUIOV69eXbZsGWtE9ZCcnHz58mX2ExCKgVEtmNAnT9UVmCslJYW1o3og72gDQnpcTHlN/cC8Agt9cqgiCDnRKLRqFswIRYV+UVHRxo0b2Q0QsigvL4+JiXn9+jVrRPWAHY0dO5YmknJgVGNsszZVD+SpOnHlypVx48bRPDIcBPa4mPKa+hEywIrJoYoh8ESj0KpBnj59umnTpgMHDjBOkS30QU5OzlxCAVAov3nzhjWfOsHusFP2cxC1ERcXl5WVxVpTnZCnFIfmkaEhvMfFlNfUifABVkwOVQDhJxqFVk0hbw7KFfoEQRAEQRAEQeguJPQJgiAIgiAIQg8hoU8QBEEQBEEQeggJfYIgCIIgCILQQ0joEwRBEARBEIQe8v8ATIgalQWZ7YoAAAAASUVORK5CYII=","name":"images/rdbmsLoader.png","type":"image/png"}],"sections":[{"content":"## Master Data Definitions – Concepts & Rationale\r\n\r\n### 1. Introduction\r\n\r\nIn enterprise systems, not all “masters” are the same. Some are **pure reference values**, some are **configurable definitions**, and others are **product- or domain-specific configurations**.  \r\nMixing these leads to complexity, poor auditability, and difficulty in scaling.\r\n\r\nThis document outlines the **types of master definitions**, their roles, and the rationale for separating them in the Master Data Management (MDM) framework.\r\n\r\n---\r\n\r\n### 2. Categories of Master Definitions\r\n\r\n#### 2.1. Lookup Masters\r\n\r\n**Definition**\r\n\r\n- The simplest form of master data.\r\n- Represents **controlled vocabularies** of codes and labels.\r\n- Typically static, reused across modules.\r\n\r\n**Examples**\r\n\r\n- Country codes, Currency codes, Industry types, Fee types\r\n\r\n**Characteristics**\r\n\r\n- Low change frequency.\r\n- System-wide or tenant-specific.\r\n- Managed centrally for consistency.\r\n- Maker-checker usually **not required**.\r\n\r\n**Rationale**\r\n\r\n- Keeps common values uniform.\r\n- Provides a simple reference mechanism for more complex entities.\r\n\r\n---\r\n\r\n#### 2.2. Entity Masters\r\n\r\n**Definition**\r\n\r\n- Richer data structures that describe **business entities** used across products and processes.\r\n\r\n**Examples**\r\n\r\n- Branch master, Bank master, Company master, Asset type, Document checklist.\r\n\r\n**Characteristics**\r\n\r\n- Multi-attribute entities (code, name, address, etc.).\r\n- Moderate change frequency.\r\n- Some require versioning (e.g., Tax rates, PSL codes).\r\n- Maker-checker optional (depends on sensitivity).\r\n\r\n**Rationale**\r\n\r\n- Centralizes reusable entities.\r\n- Ensures consistency across tenants/products.\r\n- Supports audit and effective dating when required.\r\n\r\n---\r\n\r\n#### 2.3. Definition Masters\r\n\r\n**Definition**\r\n\r\n- Store **reusable calculation or behavioral recipes** that can be applied across multiple products.\r\n- These are _abstract_, not tied to a specific product.\r\n\r\n**Examples**\r\n\r\n- Fee definitions (flat ₹500, or 0.5% of loan amount capped at ₹25,000).\r\n- Rate definitions (ROI slab: 12% up to 5 lakh, 11.5% above).\r\n- Tax rules linked to codes.\r\n\r\n**Characteristics**\r\n\r\n- Captures “how something is computed or applied.”\r\n- Independent of product context.\r\n- Effective dating often required.\r\n- Maker-checker recommended.\r\n\r\n**Rationale**\r\n\r\n- Promotes reuse of calculation logic.\r\n- Avoids duplication of the same rules across multiple products.\r\n- Provides consistency and reduces configuration effort.\r\n\r\n---\r\n\r\n#### 2.4. Product Configuration Masters\r\n\r\n**Definition**\r\n\r\n- **Contextual application** of lookups, entities, and definitions to a **specific product**.\r\n- Directly drive product behavior in origination, servicing, collections, etc.\r\n\r\n**Examples**\r\n\r\n- Product fees (`mst_product_fee`).\r\n- Product eligibility rules.\r\n- Product rate setup.\r\n- Product amortization controls.\r\n\r\n**Characteristics**\r\n\r\n- High change frequency (campaigns, new product launches, regulatory updates).\r\n- Always effective-dated.\r\n- Maker-checker **mandatory** (regulatory and financial impact).\r\n- Require bundle approval (root product + required children).\r\n\r\n**Rationale**\r\n\r\n- Separates stable references from volatile product-specific configurations.\r\n- Ensures regulatory audit trail (which version of product config was active at sanction time).\r\n- Prevents “leakage” of product logic into global masters.\r\n\r\n---\r\n\r\n### 3. Why Separate These Types?\r\n\r\n|                                     |                                                                                                                                                                                                                                                                                                                               |\r\n| ----------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\r\n| ![](./images/masterDataContext.png) | **Separation of Concerns** → Prevents product logic from polluting global masters. </br> **Reusability** → Definitions can be applied across products, reducing duplication. </br> **Auditability** → Clear lineage: Lookup → Definition → Product Config. </br> **Scalability** → Easier to onboard new products or tenants. |\r\n\r\n---\r\n\r\n| **Type**               | **Purpose**                  | **Governance**                           | **Change Frequency** |\r\n| ---------------------- | ---------------------------- | ---------------------------------------- | -------------------- |\r\n| Lookup Masters         | Controlled vocabularies      | Low (optional approval)                  | Very Low             |\r\n| Entity Masters         | Shared business entities     | Medium (approval for sensitive entities) | Low/Moderate         |\r\n| Definition Masters     | Reusable calculation recipes | Medium-High (approval recommended)       | Moderate             |\r\n| Product Config Masters | Product-specific application | High (approval mandatory)                | High                 |\r\n\r\n---\r\n\r\n### 5. Conclusion\r\n\r\nThis layered approach ensures a clean separation of concerns:\r\n\r\n- **Lookups** define the vocabulary.\r\n- **Entities** provide shared structures.\r\n- **Definitions** capture reusable logic.\r\n- **Product Configurations** apply them in context.\r\n\r\nTogether, they deliver **scalability, auditability, and governance**—future-proofing the system so new products, fees, or rules can be introduced with **no changes to the core framework**.\r\n\r\n---\r\n","filename":"\\01. Context.md","format":"Markdown","order":1,"title":""},{"content":"## Functional Context for Master Data Management\r\n\r\nThis section defines the **core functional capabilities** required across master data types.  \r\nThese functions ensure governance, compliance, and usability across **Lookup Masters**, **Entity Masters**, **Definition Masters**, and **Product Configuration Masters**.\r\n\r\n---\r\n\r\n### 1. Effective Dating (Temporal Versioning)\r\n\r\n#### Purpose\r\n\r\n- Allow historical tracking and future scheduling of master data changes.\r\n- Support “as-of-date” queries for audit, compliance, and business rules.\r\n\r\n#### Functional Rules\r\n\r\n- Every versioned master record must have:\r\n  - `effective_start_date` (mandatory).\r\n- **No overlapping versions** for the same business key (`code`, `identity`).\r\n- On **read**:\r\n  - Fetch record with the latest `effective_start_date` ≤ business date.\r\n- On **update**:\r\n  - Insert a new row with a new `effective_start_date` instead of overwriting.\r\n- On **create**:\r\n  - `effective_start_date` must be ≥ system date (future-dated).\r\n\r\n#### Applicable To\r\n\r\n- Entity Masters (e.g., Tax Rates, PSL Codes).\r\n- Definition Masters (Fee, Rate, Rule definitions).\r\n- Product Configurations (always versioned).\r\n- Not applicable to simple Lookup Masters.\r\n\r\n---\r\n\r\n### 2. Auditability\r\n\r\n#### Purpose\r\n\r\n- Ensure every change (create, update, delete) can be traced back to _who, when, and why_.\r\n- Meet compliance and rollback requirements.\r\n\r\n#### Functional Rules\r\n\r\n- All changes are first written to **staging tables**.\r\n- Audit captured at **two levels**:\r\n  - **Staging Header** (`mdm_staging_root`) → draft identity, status, timestamps, user.\r\n  - **Change Log** (`mdm_staging_change`) → old value, new value, operation (CREATE, UPDATE, DELETE).\r\n- Audit Metadata:\r\n  - `createdBy`, `createdAt`, `updatedBy`, `updatedAt`.\r\n  - `approvalStatus`, `approvedBy`, `approvedAt`.\r\n- **Immutable history**: No change record can be deleted, only superseded.\r\n\r\n#### Applicable To\r\n\r\n- All master types, but granularity differs:\r\n  - Lookup Masters → minimal.\r\n  - Entity & Definition Masters → row-level audit.\r\n  - Product Config Masters → full root–child bundle audit.\r\n\r\n---\r\n\r\n### 3. Maker–Checker (Approval Workflow)\r\n\r\n#### Purpose\r\n\r\n- Enforce **segregation of duties** between data entry (Maker) and approval (Checker).\r\n- Reduce risk of unauthorized changes to sensitive masters.\r\n\r\n#### Functional Rules\r\n\r\n- **Configuration-driven**: not all tables require maker-checker.\r\n- Approval Levels:\r\n  - **ROOT** → Root + all children approved and published together.\r\n  - **CHILD** → Each child entity approved independently.\r\n  - **ATTRIBUTE** → Fine-grained, per-field approval.\r\n- Workflow:\r\n  1. Maker creates draft in staging.\r\n  2. Checker reviews and approves/rejects changes.\r\n  3. Only approved changes are published to main tables.\r\n- **Policy**: Maker ≠ Checker (system-enforced).\r\n\r\n#### Applicable To\r\n\r\n- Entity Masters (optional, configurable).\r\n- Definition Masters (recommended for regulatory impact).\r\n- Product Config Masters (mandatory, always enabled).\r\n- Lookup Masters (rarely required).\r\n\r\n---\r\n\r\n### 4. Additional Functionalities\r\n\r\n#### 4.1. Publishing\r\n\r\n- Once all approvals are completed, changes are **atomically published** to main tables.\r\n- **Publish order**: Root → Children (based on config `publishOrder`).\r\n- **rTag bump**: Cache invalidated via version tags.\r\n- **Reindex**: Enqueue changes to Elasticsearch for search/typeahead.\r\n\r\n#### 4.2. Validation\r\n\r\n- **Field-level**: mandatory, type, length, regex, range, allowed values.\r\n- **Relationship-level**: parent–child presence, min/max counts, reference existence.\r\n- **Temporal-level**: no overlapping effective dates.\r\n\r\n#### 4.3. Search & Cache\r\n\r\n- **Elasticsearch** → for typeahead and advanced search.\r\n- **rTag cache versioning** → ensures consistent reads across services.\r\n\r\n---\r\n\r\n### 5. Summary Matrix\r\n\r\n| Functionality    | Lookup Masters | Entity Masters  | Definition Masters | Product Config Masters |\r\n| ---------------- | -------------- | --------------- | ------------------ | ---------------------- |\r\n| Effective Dating | Minimal        | ✅ (selected)   | ✅ (selected)      | ✅ (always)            |\r\n| Auditability     | Minimal        | Row-level       | Row-level          | Full root–child        |\r\n| Maker–Checker    | Rare           | Optional        | Recommended        | Mandatory              |\r\n| Publishing Flow  | Simple insert  | Configurable    | Configurable       | Bundle approval        |\r\n| Validation       | Basic codes    | Multi-attribute | Calculation rules  | Full relational        |\r\n| Search/Cache     | Typeahead      | Optional        | Optional           | Mandatory              |\r\n\r\n---\r\n\r\n```\r\nNote:\r\n1. For now effective date is deprioritiesed but will be provisioned\r\n2. For now caching and searchability is also deprioritiesed but provisioned\r\n```\r\n\r\nAdditional inputs\r\n\r\n1. Sequence number generation\r\n1. Bulk Edits\r\n1. Key/value for Org-master\r\n1. Id creation\r\n","filename":"\\02. FunctionalContext.md","format":"Markdown","order":2,"title":""},{"content":"## Unified Consumption APIs for Master Data\r\n\r\nThis document defines the **Unified Consumption API design** for accessing master data in a **consistent, domain-driven, and persistence-agnostic** manner.\r\n\r\n---\r\n\r\n### 1. Objectives\r\n\r\n- Provide a **single contract** for consuming master data across the enterprise.\r\n- **Decouple from persistence** (no table/collection names exposed).\r\n- Ensure **tenant-awareness** and **effective-dated queries**.\r\n- Support **search, filtering, and pagination** uniformly.\r\n- Separate **Lookups, Entities, Definitions, and Product Configurations** into clear layers.\r\n\r\n---\r\n\r\n### 2. API Layers\r\n\r\n#### 2.1 Lookups & Entities → Unified API\r\n\r\n- Exposed via `/masters` endpoint.\r\n- Always domain-oriented (e.g., `fees`, `currencies`, `branches`).\r\n- Lightweight payloads, returning only business attributes.\r\n- **Note:** The **Product catalog itself** is also treated as an **Entity Master**, allowing consumers to fetch available products.\r\n\r\n**Structure:**\r\n\r\n```\r\n/masters/{entity}\r\n/masters/{entity}/{code}\r\n```\r\n\r\n**Examples**\r\n\r\n**Lookups**\r\n\r\n```\r\nGET /masters/currencies/INR\r\n```\r\n\r\n```json\r\n{\r\n  \"code\": \"INR\",\r\n  \"name\": \"Indian Rupee\",\r\n  \"symbol\": \"₹\"\r\n}\r\n```\r\n\r\n**Entities**\r\n\r\n```\r\nGET /masters/branches/BR001\r\n```\r\n\r\n```json\r\n{\r\n  \"code\": \"BR001\",\r\n  \"name\": \"Mumbai Main Branch\",\r\n  \"address\": \"Nariman Point\",\r\n  \"pincode\": \"400021\"\r\n}\r\n```\r\n\r\n**Products as Entity Master**\r\n\r\n```\r\nGET /masters/products?filter=type:portfolio\r\n```\r\n\r\n```json\r\n[\r\n  { \"code\": \"HL\", \"name\": \"Home Loan Portfolio\", \"status\": \"ACTIVE\" },\r\n  { \"code\": \"PL\", \"name\": \"Personal Loan Portfolio\", \"status\": \"ACTIVE\" }\r\n]\r\n```\r\n\r\n---\r\n\r\n#### 2.2 Definitions → Dedicated API\r\n\r\n- Exposed via `/definitions` endpoint.\r\n- Capture **abstract, reusable rules** (not tied to a single product).\r\n\r\n**Structure:**\r\n\r\n```\r\n/definitions/{type}\r\n/definitions/{type}/{code}\r\n```\r\n\r\n**Example:**\r\n\r\n```\r\nGET /definitions/fees/PENAL_DEF\r\n```\r\n\r\n```json\r\n{\r\n  \"code\": \"PENAL_DEF\",\r\n  \"name\": \"Penal Fee Definition\",\r\n  \"formula\": \"amount * 0.02\",\r\n  \"cap\": 5000,\r\n  \"taxable\": true,\r\n  \"effectiveStartDate\": \"2025-01-01\"\r\n}\r\n```\r\n\r\n---\r\n\r\n#### 2.3 Product Configurations → Product APIs\r\n\r\n- Exposed via `/products` endpoint.\r\n- Bind **Lookups + Entities + Definitions** into product-specific context.\r\n\r\n**Structure:**\r\n\r\n```\r\n/products/{productCode}/config/{type}\r\n/products/{productCode}/config/{type}/{code}\r\n```\r\n\r\n**Example:**\r\n\r\n```\r\nGET /products/HL/config/fees/PENAL\r\n```\r\n\r\n```json\r\n{\r\n  \"code\": \"PENAL\",\r\n  \"linkedDefinition\": \"PENAL_DEF\",\r\n  \"taxTreatment\": \"inclusive\",\r\n  \"applicability\": \"on overdue EMI\",\r\n  \"effectiveStartDate\": \"2025-01-01\"\r\n}\r\n```\r\n\r\n---\r\n\r\n### 3. Query Parameters (Unified Behavior)\r\n\r\nAll unified APIs support **common query parameters**:\r\n\r\n| Parameter           | Description                                    |\r\n| ------------------- | ---------------------------------------------- |\r\n| `asOfDate`          | Returns version effective on given date.       |\r\n| `fromDate`/`toDate` | Range queries for versioned data.              |\r\n| `search`            | Free-text search on searchable fields.         |\r\n| `filter`            | Field-level filtering (e.g., `status:ACTIVE`). |\r\n| `page`, `size`      | Pagination controls.                           |\r\n| `sort`              | Sort results (e.g., `sort=name,asc`).          |\r\n\r\n**Example:**\r\n\r\n```\r\nGET /masters/branches?tfilter=status:ACTIVE&sort=name,asc\r\n```\r\n\r\n```json\r\n[\r\n  { \"code\": \"BR005\", \"name\": \"Bangalore\" },\r\n  { \"code\": \"BR007\", \"name\": \"Chennai\" }\r\n]\r\n```\r\n\r\n---\r\n\r\n### 4. Layered Access Model\r\n\r\n| Layer               | Endpoint Pattern                           | Purpose                                                            |\r\n| ------------------- | ------------------------------------------ | ------------------------------------------------------------------ |\r\n| **Lookups**         | `/masters/{entity}`                        | Controlled vocabularies (currencies, fee types).                   |\r\n| **Entities**        | `/masters/{entity}`                        | Rich business entities (branches, banks, companies, **products**). |\r\n| **Definitions**     | `/definitions/{type}/{code}`               | Reusable logic (fees, rates, tax formulas).                        |\r\n| **Product Configs** | `/products/{product}/config/{type}/{code}` | Product-specific application of masters & definitions.             |\r\n\r\n#### 📌 Products as Entity Masters\r\n\r\nAlthough **product data** is contextual when applied (via `/products/{product}/config/...`), the **product catalog itself** is treated as an **Entity Master**.\r\n\r\n- **Purpose**: Provide a consistent way to query the list of available products, independent of product-specific configurations.\r\n- **Behavior**: Exposed under `/masters/products`, supporting filters, search, and pagination like any other entity.\r\n- **Example**:\r\n  ```http\r\n  GET /masters/products?filter=type:portfolio\r\n  ```\r\n\r\n---\r\n\r\n```JSON\r\n[\r\n  { \"code\": \"HL\", \"name\": \"Home Loan Portfolio\", \"status\": \"ACTIVE\" },\r\n  { \"code\": \"PL\", \"name\": \"Personal Loan Portfolio\", \"status\": \"ACTIVE\" }\r\n]\r\n```\r\n\r\n##### Rationale:\r\n\r\nTreating products as **entity masters** ensures they participate in the same governance and consumption behaviors — while still keeping **product configurations** separate.\r\n\r\n### 5. Benefits\r\n\r\n- **Consistency** → Same path structure across domains.\r\n- **Decoupling** → Hides persistence; exposes only business semantics.\r\n- **Scalability** → New masters added via config without API redesign.\r\n- **Governance** → Only approved data exposed, with effective dating support.\r\n\r\n---\r\n\r\n### 6. Summary\r\n\r\nThe **Unified Consumption API** offers a clean, extensible, and tenant-aware way to consume master data.\r\n\r\n- `/masters` → Lookups & Entities (including product catalog).\r\n- `/definitions` → Reusable logic.\r\n- `/products` → Contextual configurations.\r\n\r\nThis separation ensures **reusability, compliance, and future-proof scalability**.\r\n","filename":"\\03. UnifiedApiAproach.md","format":"Markdown","order":3,"title":""},{"content":"## Low-Level Design (LLD) – Map-Based Master Data Consumption\r\n\r\n### 1. Purpose\r\n\r\nProvide a unified and flexible way to consume master data (lookups, entities, definitions, product configurations) without tightly coupling API responses to rigid POJOs.\r\nInstead, responses are returned as **`Map<String, Object>`** (for single records) or **`List<Map<String, Object>>`** (for collections).\r\n\r\nThis allows:\r\n\r\n- Flexible addition of new fields per master type.\r\n- Dynamic interpretation of metadata-driven structures.\r\n- Unified API surface for all master types.\r\n\r\n---\r\n\r\n### 2. Class Structure\r\n\r\n![](./images/ConsumptionModule.png)\r\n\r\n#### 2.1. QueryContext\r\n\r\nEncapsulates request context and query parameters.\r\n\r\n```java\r\npublic class QueryContext {\r\n    private String tenant;\r\n    private LocalDate asOfDate;\r\n    private Map<String, String> filters;\r\n    private int page;\r\n    private int size;\r\n    private String sort;\r\n}\r\n```\r\n\r\n**Responsibilities**\r\n\r\n- Carry tenant context for multi-tenancy.\r\n- Support `asOfDate` for effective-dated queries.\r\n- Provide filters, pagination, and sorting parameters.\r\n\r\n---\r\n\r\n#### 2.2. MasterConsumer (Interface)\r\n\r\nDefines the contract for all master consumers.\r\n\r\n```java\r\npublic interface MasterConsumer {\r\n    Map<String, Object> getByCode(String code, QueryContext ctx);\r\n    List<Map<String, Object>> search(QueryContext ctx);\r\n}\r\n```\r\n\r\n**Responsibilities**\r\n\r\n- Abstract retrieval of master data as map-based responses.\r\n- Enforce uniform API surface across all master categories.\r\n\r\n---\r\n\r\n#### 2.3. Implementations\r\n\r\nConcrete consumers per master category.\r\n\r\n```java\r\npublic class MastersConsumer implements MasterConsumer { ... }\r\npublic class DefinitionsConsumer implements MasterConsumer { ... }\r\npublic class ProductConfigConsumer implements MasterConsumer { ... }\r\n```\r\n\r\n**Responsibilities**\r\n\r\n- Fetch master data from persistence (DB, cache, external service).\r\n- Apply metadata rules (field visibility, validations, transformations).\r\n- Return dynamic maps per master definition.\r\n\r\n---\r\n\r\n#### 2.4. MasterDataConsumptionService\r\n\r\nCentral orchestrator that routes requests to appropriate consumer.\r\n\r\n```java\r\npublic class MasterDataConsumptionService {\r\n    private final Map<String, MasterConsumer> consumers = new HashMap<>();\r\n\r\n    public void register(String entity, MasterConsumer consumer) {\r\n        consumers.put(entity, consumer);\r\n    }\r\n\r\n    public Map<String, Object> get(String entity, String code, QueryContext ctx) {\r\n        return consumers.get(entity).getByCode(code, ctx);\r\n    }\r\n\r\n    public List<Map<String, Object>> search(String entity, QueryContext ctx) {\r\n        return consumers.get(entity).search(ctx);\r\n    }\r\n}\r\n```\r\n\r\n**Responsibilities**\r\n\r\n- Registry of entity → consumer mappings.\r\n- Unified entrypoint for `get` and `search`.\r\n- Decouples API/controller from master-specific logic.\r\n\r\n---\r\n\r\n### 3. Sequence Flow\r\n\r\n#### Example: Fetch Fee Master\r\n\r\n1. Controller calls `consumptionService.get(\"fee\", \"PENAL\", ctx)`.\r\n2. `MasterDataConsumptionService` resolves consumer = `MastersConsumer`.\r\n3. `MastersConsumer` queries DB/cache and applies field metadata.\r\n4. Returns:\r\n\r\n   ```json\r\n   {\r\n     \"code\": \"PENAL\",\r\n     \"name\": \"Penal Fee\",\r\n     \"description\": \"Penalty charges for overdue payments\"\r\n   }\r\n   ```\r\n\r\n---\r\n\r\n### 4. API Design\r\n\r\n#### Single Record\r\n\r\n```http\r\nGET /masters/{entity}/{code}\r\n```\r\n\r\nResponse:\r\n\r\n```json\r\n{\r\n  \"code\": \"PENAL\",\r\n  \"name\": \"Penal Fee\",\r\n  \"description\"\r\n}\r\n```\r\n\r\n#### Search\r\n\r\n```http\r\nGET /masters/{entity}?filter=type:portfolio&page=0&size=10\r\n```\r\n\r\nResponse:\r\n\r\n```json\r\n[\r\n  { \"code\": \"HL\", \"name\": \"Home Loan Portfolio\" },\r\n  { \"code\": \"PL\", \"name\": \"Personal Loan Portfolio\" }\r\n]\r\n```\r\n\r\n---\r\n\r\n### 5. Design Rationale\r\n\r\n- **Flexibility**: Different masters can evolve independently.\r\n- **Decoupling**: No direct dependency on DB schemas in API responses.\r\n- **Governance**: Still aligned with metadata-driven validations.\r\n- **Reusability**: Same service layer supports lookups, entities, definitions, and products.\r\n\r\n## Example: Currency Master (Entity Master)\r\n\r\n### 1. Table Definition: `mst_currency`\r\n\r\n| Column Name                       | Description                                  |\r\n| --------------------------------- | -------------------------------------------- |\r\n| `currency_id`                     | Surrogate primary key (system-generated).    |\r\n| `currency_code`                   | Business key for the currency (e.g., `USD`). |\r\n| `currency_description`            | Full description (e.g., _US Dollar_).        |\r\n| `currency_symbol`                 | Currency symbol (e.g., `$`).                 |\r\n| `is_base_currency`                | Flag to identify base currency (true/false). |\r\n| `conversion_spot_rate_multiplier` | Conversion rate multiplier for spot trades.  |\r\n| `created_by`                      | User who created the record.                 |\r\n| `created_date`                    | Timestamp when record was created.           |\r\n| `updated_by`                      | User who last updated the record.            |\r\n| `updated_date`                    | Timestamp when record was last updated.      |\r\n| `tenant_code`                     | Tenant identifier for multi-tenancy.         |\r\n| `is_active`                       | Whether the currency is active (true/false). |\r\n| `uuid`                            | Universally unique identifier.               |\r\n\r\n---\r\n\r\n### 2. API Representation (Map-based)\r\n\r\n#### Single Currency\r\n\r\n```http\r\nGET /masters/currency/USD\r\n```\r\n\r\nResponse:\r\n\r\n```json\r\n{\r\n  \"code\": \"USD\",\r\n  \"name\": \"US Dollar\",\r\n  \"symbol\": \"$\",\r\n  \"isBaseCurrency\": true,\r\n  \"spotRateMultiplier\": 1.0\r\n}\r\n```\r\n\r\n#### List of Currencies\r\n\r\n```http\r\nGET /masters/currency?filter=isBaseCurrency:false\r\n```\r\n\r\nResponse:\r\n\r\n```json\r\n[\r\n  {\r\n    \"code\": \"USD\",\r\n    \"name\": \"US Dollar\",\r\n    \"symbol\": \"$\",\r\n    \"isBaseCurrency\": false,\r\n    \"spotRateMultiplier\": 1.0\r\n  },\r\n  {\r\n    \"code\": \"EUR\",\r\n    \"name\": \"Euro\",\r\n    \"symbol\": \"€\",\r\n    \"isBaseCurrency\": false,\r\n    \"spotRateMultiplier\": 0.92\r\n  }\r\n]\r\n```\r\n\r\n---\r\n\r\n### 3. Notes\r\n\r\n- **Effective Dating** not required (currency attributes are mostly static), unless conversion rates are versioned.\r\n- **Auditability** handled via `created_by`, `created_date`, `updated_by`, and `updated_date`.\r\n- **Maker–Checker**: Optional, can be enabled if regulatory governance requires dual control for changes.\r\n- **Consumption**: Exposed through `/masters/currency` endpoint with support for filters (e.g., `isBaseCurrency`).\r\n\r\n## Example: Lookup Master – Gender\r\n\r\n### 1. Tables Involved\r\n\r\n- `mst_lookupcategory` → Defines the **category** of the lookup (e.g., `GENDER`).\r\n- `mst_lookupcode` → Defines the individual **codes/values** under the category.\r\n\r\n---\r\n\r\n### 2. Example Data\r\n\r\n#### `mst_lookupcategory`\r\n\r\n| Column                 | Example Value         |\r\n| ---------------------- | --------------------- |\r\n| `category_id`          | 101                   |\r\n| `uuid`                 | `a1b2-c3d4`           |\r\n| `category_name`        | `GENDER`              |\r\n| `category_description` | `Gender Codes`        |\r\n| `created_by`           | `system`              |\r\n| `effective_from`       | `2020-01-01`          |\r\n| `created_date`         | `2020-01-01T10:00:00` |\r\n| `updated_by`           | `admin`               |\r\n| `updated_date`         | `2023-01-01T09:00:00` |\r\n| `tenant_code`          | `TENANT1`             |\r\n| `is_active`            | `true`                |\r\n\r\n#### `mst_lookupcode`\r\n\r\n| Column           | Example Value | Description               |\r\n| ---------------- | ------------- | ------------------------- |\r\n| `lookupcode_id`  | 201           | Surrogate PK              |\r\n| `uuid`           | `z9y8-x7w6`   | Unique ID                 |\r\n| `category_id`    | 101           | FK → `mst_lookupcategory` |\r\n| `code`           | `M`           | Code for Male             |\r\n| `value`          | `Male`        | Display value             |\r\n| `description`    | `Male Gender` | Description               |\r\n| `sequence`       | 1             | Ordering sequence         |\r\n| `effective_from` | `2020-01-01`  | Active from               |\r\n| `effective_till` | `null`        | Still valid               |\r\n| `created_by`     | `system`      | Creator                   |\r\n| `created_date`   | `2020-01-01`  | Created timestamp         |\r\n| `updated_by`     | `admin`       | Last updater              |\r\n| `updated_date`   | `2023-01-01`  | Last updated              |\r\n| `tenant_code`    | `TENANT1`     | Tenant                    |\r\n| `is_active`      | `true`        | Active flag               |\r\n\r\n---\r\n\r\n### 3. API Representation (Map-based)\r\n\r\n#### Fetch Category Metadata\r\n\r\n```http\r\nGET /masters/lookups/category/GENDER\r\n```\r\n\r\nResponse:\r\n\r\n```json\r\n{\r\n  \"code\": \"GENDER\",\r\n  \"name\": \"Gender Codes\"\r\n}\r\n```\r\n\r\n#### Fetch Codes by Category\r\n\r\n```http\r\nGET /masters/lookups/GENDER\r\n```\r\n\r\nResponse:\r\n\r\n```json\r\n[\r\n  { \"code\": \"M\", \"value\": \"Male\", \"sequence\": 1 },\r\n  { \"code\": \"F\", \"value\": \"Female\", \"sequence\": 2 },\r\n  { \"code\": \"O\", \"value\": \"Other\", \"sequence\": 3 }\r\n]\r\n```\r\n\r\n---\r\n\r\n### 4. Notes\r\n\r\n- **Effective Dating**: `effective_from` and `effective_till` allow future or retired codes.\r\n- **Auditability**: All changes captured via `created_by`, `updated_by`, and timestamps.\r\n- **Maker–Checker**: Typically **not required** for gender values, unless mandated.\r\n- **Consumption**: Commonly used in UI dropdowns and form validations.\r\n\r\n## 📦 Example: Product Master (Entity + Product Config)\r\n\r\n### 1. Tables Involved\r\n\r\n#### `mst_product_type`\r\n\r\n| Column Name                | Description                                       |\r\n| -------------------------- | ------------------------------------------------- |\r\n| `product_type_id`          | Surrogate primary key.                            |\r\n| `uuid`                     | Universally unique identifier.                    |\r\n| `product_type_code`        | Business key for product type (e.g., `HL`, `PL`). |\r\n| `product_type_desc`        | Description of the product type.                  |\r\n| `product_type_level`       | Hierarchy level (e.g., Retail, Corporate).        |\r\n| `parent_product_type_code` | Parent product type for hierarchy.                |\r\n| `effective_from`           | Date from which product type is effective.        |\r\n| `created_by`               | User who created the record.                      |\r\n| `created_date`             | Record creation timestamp.                        |\r\n| `updated_by`               | User who last updated the record.                 |\r\n| `updated_date`             | Record last update timestamp.                     |\r\n| `tenant_code`              | Tenant identifier.                                |\r\n| `is_active`                | Whether the product type is active (true/false).  |\r\n\r\n---\r\n\r\n#### `mst_product_setup`\r\n\r\n| Column Name                 | Description                           |\r\n| --------------------------- | ------------------------------------- |\r\n| `product_setup_id`          | Surrogate primary key.                |\r\n| `product_type_id`           | FK reference to `mst_product_type`.   |\r\n| `product_type_code`         | Type code (redundant reference).      |\r\n| `product_setup_code`        | Unique product setup identifier.      |\r\n| `product_setup_desc`        | Description of the product setup.     |\r\n| `product_setup_priority`    | Priority/rank among products.         |\r\n| `parent_product_setup_code` | Parent product setup if hierarchical. |\r\n| `effective_from`            | Effective date for setup.             |\r\n| `created_by`                | Creator.                              |\r\n| `created_date`              | Created timestamp.                    |\r\n| `updated_by`                | Last updated user.                    |\r\n| `updated_date`              | Updated timestamp.                    |\r\n| `tenant_code`               | Tenant identifier.                    |\r\n| `is_active`                 | Whether active (true/false).          |\r\n| `uuid`                      | Unique identifier.                    |\r\n\r\n---\r\n\r\n#### `mst_product_setup_config`\r\n\r\nHolds **product-specific configuration parameters**.\r\n\r\nExtensive attributes like loan amount ranges, tenure, ROI, disbursement rules, prepayment/foreclosure rules, settlement rules, restructuring parameters, penal charges, etc. are stored here. (See detailed table earlier).\r\n\r\n---\r\n\r\n### 2. API Representation (Map-based)\r\n\r\n#### Fetch Product Setup\r\n\r\n```http\r\nGET /masters/products/HL01\r\n```\r\n\r\nResponse:\r\n\r\n```json\r\n{\r\n  \"code\": \"HL01\",\r\n  \"name\": \"Home Loan Basic Setup\",\r\n  \"type\": \"HL\",\r\n  \"priority\": 1\r\n}\r\n```\r\n\r\n#### Fetch All Product Configurations by Type\r\n\r\n```http\r\nGET /products/HL01/config/fees\r\n```\r\n\r\nResponse:\r\n\r\n```json\r\n[\r\n  {\r\n    \"code\": \"PROC_FEE\",\r\n    \"description\": \"Processing Fee\",\r\n    \"isTaxable\": true,\r\n    \"taxMethod\": \"EXCLUSIVE\",\r\n    \"penalChargeROI\": null,\r\n    \"penalChargeGraceDays\": null\r\n  },\r\n  {\r\n    \"code\": \"PENAL\",\r\n    \"description\": \"Penal Fee\",\r\n    \"isTaxable\": true,\r\n    \"taxMethod\": \"INCLUSIVE\",\r\n    \"penalChargeROI\": 24.0,\r\n    \"penalChargeGraceDays\": 5\r\n  }\r\n]\r\n```\r\n\r\n#### Fetch Specific Product Config by Type + Code\r\n\r\n```http\r\nGET /products/HL01/config/fees/PENAL\r\n```\r\n\r\nResponse:\r\n\r\n```json\r\n{\r\n  \"code\": \"PENAL\",\r\n  \"description\": \"Penal Fee\",\r\n  \"isTaxable\": true,\r\n  \"taxMethod\": \"INCLUSIVE\",\r\n  \"penalChargeROI\": 24.0,\r\n  \"penalChargeGraceDays\": 5\r\n}\r\n```\r\n\r\nAnother example for **rate configuration**:\r\n\r\n```http\r\nGET /products/HL01/config/rates/FIXED\r\n```\r\n\r\nResponse:\r\n\r\n```json\r\n{\r\n  \"code\": \"FIXED\",\r\n  \"description\": \"Fixed ROI Slab\",\r\n  \"minLoanAmt\": 100000,\r\n  \"maxLoanAmt\": 5000000,\r\n  \"minROI\": 8.0,\r\n  \"maxROI\": 11.5,\r\n  \"effectiveFrom\": \"2024-01-01\"\r\n}\r\n```\r\n\r\n---\r\n\r\n### 3. Notes\r\n\r\n- **Entity Master**: `mst_product_type` defines stable product types (HL, PL, LAP, etc.).\r\n- **Product Setup**: `mst_product_setup` allows creating variations of a product type.\r\n- **Product Config**: Accessed via `/products/{product}/config/{type}` (all configs of a type) or `/products/{product}/config/{type}/{code}` (specific config).\r\n- **Effective Dating**: Applied at setup and config level.\r\n- **Auditability**: Managed via created/updated fields.\r\n- **Maker–Checker**: Mandatory for product setups/configs due to financial/regulatory impact.\r\n","filename":"\\04. Comsumption Module.md","format":"Markdown","order":4,"title":""},{"content":"## Master Data Management Design Document\r\n\r\n### **Context**\r\n\r\n#### **Problem Statement**\r\n\r\nManaging master data in enterprise systems can become increasingly complex with growing datasets, multi-tenancy requirements, and the need for real-time search capabilities. Traditional systems face challenges in ensuring:\r\n\r\n- **Data Consistency**: Managing changes to master data across multiple entities and tenants.\r\n- **Search Performance**: Providing fast and efficient search with typeahead capabilities.\r\n- **Auditability**: Tracking changes at both system and tenant levels to meet compliance requirements.\r\n- **Scalability**: Enabling a flexible system design that supports adding new master data types seamlessly.\r\n\r\n#### **Definition**\r\n\r\nThe Master Data Management (MDM) module aims to provide a **centralized framework** for managing master data entities with multi-tenancy support. It offers:\r\n\r\n- **Entity Management**: Handling configurations for system-wide and tenant-specific master data.\r\n- **Lookup Management**: Managing lookup categories and codes for key-value pair-based data structures.\r\n- **Search Capability**: Leveraging Elasticsearch for full-text and typeahead search.\r\n- **Audit Support**: Capturing changes to master data for compliance and rollback purposes.\r\n- **Cache Optimization**: Using `eTag` for cache versioning and invalidation to ensure real-time data consistency.\r\n\r\n---\r\n\r\n### Final Master Management Requirements\r\n\r\n- Effective Date Handling\r\n- Maker Checker\r\n- Audit support\r\n- Parent-child records submitted together for the approval. No partially submitted configuration should be present in the master table.\r\n\r\n### Design Decision\r\n\r\n- Effective Date Handling\r\n\r\n  - Each master table will include `effectiveStartDate` column to support temporal versioning of records.\r\n  - we will add `effectiveEndDate` only where it is required like product table.\r\n  - add unique key constraints on code and effectiveStartDate.\r\n  - Fields in each master table:\r\n\r\n  ```\r\n  effective_start_date varchar(12) NOT NULL,\r\n  ```\r\n\r\n  - Application logic on INSERT:\r\n    - prevent overlaps in the effective date.\r\n    - effective start date must be of future date and no such record with same date should exist in the table.\r\n  - Read Logic\r\n    - Fetch by code and bizdate and return the record which is having the latest effective start date and which is less than the current biz date.\r\n  - UPDATE logic\r\n    - Same filter as above to ensure version integrity.\r\n\r\n- Code as Business Key\r\n  - Every master table will have a `code` column acting as a business-level unique key, in addition to a pseudo primary key.\r\n  - The `code` column itself will **not** be constrained to be unique, as multiple versions (rows) with the same code may exist based on different effective date ranges.\r\n  - currently all tables are having the code in the table and unique index applied on it.\r\n  - delete unique constraint on the code column and add the composite uniqe constraint on the code and effectivestartdate\r\n  - Enforced in application layer to prevent overlaps in effective dates.\r\n  - remove foreign key constraints for code column between the parent and child instead we have to ensure it at the application layer.\r\n- MDM Configuration-Based Relationships\r\n  - All parent-child relationships will be defined and managed via a centralized MDM configuration JSON.\r\n- Maker-Checker Configuration\r\n  - Maker-checker requirements will be managed through a dedicated **configuration table**:\r\n  - If a table requires maker-checker, an entry must be made in this configuration table.\r\n  - The configuration will specify whether approval is required or not.\r\n- Staging vs. Main Table Insertion\r\n  - Only approved records will be inserted into the **main master tables**.\r\n  - All other records will remain in a **staging collections** until approval.\r\n- Unified Staging Table Design\r\n  - A standardized **JSON structure** will be defined for the **staging collections**.\r\n  - This table will store **unapproved** or **partially complete** records for all master tables.\r\n- Field Metadata Configuration\r\n\r\n  - Each master table will have a field metadata configuration file that includes:\r\n    - Validation rules\r\n    - Data types\r\n    - Visibility flags\r\n    - Auto-generation settings\r\n    - Reference mappings to other tables\r\n    - Parent-child linkage configuration\r\n  - This configuration will be used during `insert`, `update`, and `delete` operations on staging data.\r\n\r\n- Audit Trail Design Consideration\r\n  - Use the staging approval collection as the audit trail.\r\n\r\n### **Entity Relationships**\r\n\r\n![](./images/masterDataEntityRelationShip.png)\r\n\r\n#### **Key Entities**\r\n\r\n- **MasterDataManagement**:\r\n\r\n  - collection name : mdm_configs\r\n  - The root entity managing configurations for master data.\r\n  - Defines attributes like searchability, typeahead, and cacheability.\r\n  - Entire table configuration will be stored as a json using following structure.\r\n  - Defines parent child relationships and also specify the root entity and what all childs are mandatory which can be used during the approval time.\r\n  - Also specify the publishing order to maintain the order while inserting records in the main table, if required.\r\n  - child must reference an approved parent in main, unless posted under a header\r\n  - all required children present and approved, cardinalities met\r\n  - **Structure :**\r\n    ```json\r\n    {\r\n      \"tableName\": \"table1\",\r\n      \"tableCode\": \"tablecode\",\r\n      \"identity\": { \"keys\": [\"product_code\", \"fee_code\"] },\r\n      \"entityType\": \"ROOT\", //ROOT/CHILD\r\n      \"displayName\": \"displayName\",\r\n      \"description\": \"description\",\r\n      \"isLookup\": true,\r\n      \"isTenantMaster\": true,\r\n      \"isSearchable\": false,\r\n      \"isTypeAhead\": false,\r\n      \"isCachable\": false,\r\n      \"publishOrder\": 0, //root first\r\n      \"relationship\": {\r\n        \"parent\": {\r\n          //mandatory for child tables\r\n          \"tableCode\": \"mst_product\",\r\n          \"required\": true\r\n        },\r\n        \"children\": [\r\n          //only for root entity if it has child tables\r\n          {\r\n            \"tableCode\": \"mst_product_fee\",\r\n            \"required\": true, // must exist (>= minCount)\r\n            \"minCount\": 1,\r\n            \"publishOrder\": 20\r\n          },\r\n          {\r\n            \"tableCode\": \"mst_product_rate\",\r\n            \"required\": true,\r\n            \"minCount\": 1,\r\n            \"publishOrder\": 10\r\n          }\r\n        ]\r\n      },\r\n\r\n      \"fields\": [\r\n        {\r\n          \"name\": \"category_name\",\r\n          \"displayName\": \"Category Name\",\r\n          \"type\": \"STRING\",\r\n          \"length\": 60,\r\n          \"isIdentifier\": true,\r\n          \"isEditable\": true,\r\n          \"isMandatory\": true,\r\n          \"validations\": [\r\n            {\r\n              \"type\": \"regex\",\r\n              \"pattern\": \"^[A-Z0-9_ ]{3,60}$\",\r\n              \"message\": \"Only uppercase letters, numbers, spaces and underscores allowed\"\r\n            }\r\n          ]\r\n        },\r\n        {\r\n          \"name\": \"category_description\",\r\n          \"displayName\": \"Category Description\",\r\n          \"type\": \"STRING\",\r\n          \"length\": 255,\r\n          \"isIdentifier\": false,\r\n          \"isEditable\": true,\r\n          \"showOnCreate\": true\r\n        }\r\n      ]\r\n    }\r\n    ```\r\n\r\n- **field_metadata_config**: Json fields guide\r\n\r\n  - Each field in a master table configuration is represented as a flat JSON object. This guide documents every key and its expected usage.\r\n  - **Top-Level Field Attributes:**\r\n\r\n    | Field            | Type      | Required | Description                                                                             |\r\n    | ---------------- | --------- | -------- | --------------------------------------------------------------------------------------- |\r\n    | `name`           | `STRING`  | ✅ Yes   | The actual column name in the DB table. Must be unique per table.                       |\r\n    | `displayName`    | `STRING`  | ✅ Yes   | User-friendly label shown on UI.                                                        |\r\n    | `type`           | `STRING`  | ✅ Yes   | Field data type. Supported values are listed below.                                     |\r\n    | `isIdentifier`   | `BOOLEAN` | ❌ No    | True if the field acts as a natural key (only 1 per table).                             |\r\n    | `length`         | `INTEGER` | ❌ No    | Max character length (only applies to `STRING`).                                        |\r\n    | `precision`      | `INTEGER` | ❌ No    | Total number of digits (for `DECIMAL`, `DOUBLE`).                                       |\r\n    | `scale`          | `INTEGER` | ❌ No    | Digits after the decimal point (only for `DECIMAL`).                                    |\r\n    | `isEditable`     | `BOOLEAN` | ✅ Yes   | Whether the field can be edited during update.                                          |\r\n    | `isMandatory`    | `BOOLEAN` | ✅ Yes   | Whether the field must be supplied during create/update.                                |\r\n    | `validations`    | `ARRAY`   | ❌ No    | List of validation rules (see validation types below).                                  |\r\n    | `reference`      | `OBJECT`  | ❌ No    | Metadata if the field is a foreign reference. Only applicable if `type` is `REFERENCE`. |\r\n    | `autoGeneration` | `OBJECT`  | ❌ No    | Rules for auto-generating values from backend. See below.                               |\r\n\r\n  - **Supported type Values:**\r\n\r\n    | Type        | Description                                                              |\r\n    | ----------- | ------------------------------------------------------------------------ |\r\n    | `STRING`    | Plain text or code fields. Use `length` and optionally `regex`.          |\r\n    | `INTEGER`   | Whole numbers. Can have `range` validation.                              |\r\n    | `DOUBLE`    | Floating-point numbers. Use `precision` and `scale` if required.         |\r\n    | `BOOLEAN`   | True/False values.                                                       |\r\n    | `TIMESTAMP` | Date/time fields. May be auto-generated.                                 |\r\n    | `UUID`      | Universally unique identifier. Often auto-generated.                     |\r\n    | `REFERENCE` | References to another master (foreign key/lookup). Requires `reference`. |\r\n    | `ENUM`      | Controlled list. Use `allowedValues` in `validations`.                   |\r\n\r\n  - **Validation Types (validations array)**\r\n\r\n    ```json\r\n    \"validations\": [\r\n    {\r\n       \"type\": \"regex\",\r\n       \"pattern\": \"^[A-Z]{3,10}$\",\r\n       \"message\": \"Must be 3-10 uppercase letters\"\r\n    },\r\n    {\r\n       \"type\": \"range\",\r\n       \"min\": 1,\r\n       \"max\": 100,\r\n       \"message\": \"Value must be between 1 and 100\"\r\n    },\r\n    {\r\n       \"type\": \"allowedValues\",\r\n       \"values\": [\"FIXED\", \"FLOATING\"],\r\n       \"message\": \"Only FIXED or FLOATING allowed\"\r\n    }\r\n    ]\r\n    ```\r\n\r\n    | Validation Type | Description                                                                          |\r\n    | --------------- | ------------------------------------------------------------------------------------ |\r\n    | `regex`         | For pattern-based checks (STRING).                                                   |\r\n    | `range`         | For numeric/date range boundaries.                                                   |\r\n    | `allowedValues` | List of accepted values.                                                             |\r\n    | `customRule`    | Not needed now. For complex validations enforced via backend rules (future support). |\r\n\r\n  - **reference Object (Only for type: REFERENCE)**\r\n\r\n    ```json\r\n    \"reference\": {\r\n    \"table\": \"mst_branch\",\r\n    \"field\": \"branch_code\",\r\n    }\r\n    ```\r\n\r\n    | Field   | Required | Description                                         |\r\n    | ------- | -------- | --------------------------------------------------- |\r\n    | `table` | ✅ Yes   | Name of the referenced master table.                |\r\n    | `field` | ✅ Yes   | The key field in the master table (usually a code). |\r\n\r\n  - **autoGeneration Object (Optional)**\r\n\r\n    ```json\r\n    \"autoGeneration\": {\r\n    \"enabled\": true,\r\n    \"strategy\": \"pattern\",\r\n    \"pattern\": \"BRN-${city_code}-${random(3)}\"\r\n    }\r\n    ```\r\n\r\n    | Field      | Required | Description                                               |\r\n    | ---------- | -------- | --------------------------------------------------------- |\r\n    | `enabled`  | ✅ Yes   | True if value is backend-generated.                       |\r\n    | `strategy` | ✅ Yes   | `pattern`, `uuid`, `sequence`, etc.                       |\r\n    | `pattern`  | ❌ No    | Format template, applicable only if `strategy = pattern`. |\r\n\r\n- **LookupCategory**:\r\n\r\n  - Represents a category of lookup codes (e.g., \"Country\", \"Payment Status\").\r\n  - Linked to tenants for multi-tenancy support.\r\n\r\n- **LookupCode**:\r\n\r\n  - Stores individual lookup codes within a category.\r\n  - Supports attributes like `effective_from`, `effective_till`, and `sequence`.\r\n\r\n- **BranchMaster** (Example):\r\n  - A concrete implementation of a master data entity, representing branch-level information.\r\n\r\n### Approval configuration\r\n\r\n```json\r\n{\r\n  \"tableCode\": \"tablecode\",\r\n  \"isApprovalRequired\": true,\r\n  \"approvalLevel\": \"ROOT\" // CHILD, ATTRIBUTE\r\n}\r\n```\r\n\r\n- Before moving records to main table:\r\n  - Check approval status based on level.\r\n  - If approval level is at the ROOT level then root and all it's child must be approved and published together.\r\n  - If level is at the child level then changelog is created for the child record and child can be published indepedendenty.\r\n  - If level is attribute level then changelog is created for each attribute changed and can be published indepedently.\r\n\r\n### Staging vs. Main Table Insertion\r\n\r\n- **mdm_staging_root**\r\n  - collection (header = identity + publish-only)\r\n  - Indexes:\r\n    - (rootTableCode, identity.key._, identity.versionKey._, publishingStatus)\r\n    - (publishingStatus, updatedAt DESC)\r\n\r\n```json\r\n{\r\n  \"_id\": \"UUID\", //statingId\r\n  \"tableCode\": \"mst_product\",\r\n  \"scope\": \"ROOT_BUNDLE\", //CHILD_ONLY, ATTRIBUTE\r\n  \"identity\": {\r\n    \"keys\": { \"product_code\": \"PROD_ABC\" },\r\n    \"versionKey\": { \"effective_start_date\": \"2025-09-01\" } // include only if versioned\r\n  },\r\n\r\n  \"publishingStatus\": \"DRAFT|PUBLISHED|CANCELLED\",\r\n  \"publishedBy\": null,\r\n  \"publishedAt\": null,\r\n  \"publishingRemarks\": null, // optional\r\n  \"createdAt\": \"2025-08-07T10:30:00Z\",\r\n  \"createBy\": \"user123\",\r\n  \"updatedAt\": \"2025-08-07T10:30:00Z\",\r\n  \"updatedBy\": \"user123\"\r\n}\r\n```\r\n\r\n- **mdm_staging_change**\r\n  - table-wise change log and approvals in this collection\r\n  - Includes the root table change with entityRole=\"ROOT\".\r\n  - Each record is independently approved/rejected.\r\n  - Indexes:\r\n    - stagingId, tableCode, approvalStatus\r\n    - stagingId, sequence ASC\r\n    - tableCode, key.\\*\r\n\r\n```json\r\n{\r\n  \"id\": \"UUID\", // changeid\r\n  \"stagingId\": \"UUID\", // FK to header\r\n  \"entityRole\": \"ROOT|CHILD\",\r\n  \"tableCode\": \"tablecode\",\r\n  \"operation\": \"CREATE\", // Options: CREATE | UPDATE | DELETE\r\n  \"keys\": { \"product_code\": \"PROD_ABC\", \"fee_code\": \"PROC_FEE\" },\r\n  \"oldValue\": null, // For CREATE, this will be null else entire dto json\r\n  \"newValue\": {\r\n    //entire dto json including childs\r\n  },\r\n  \"approvalStatus\": \"PENDING\", // Options: PENDING | APPROVED | REJECTED\r\n  \"approvedBy\": null,\r\n  \"approvedAt\": null,\r\n  \"approvalRemarks\": null,\r\n  \"sequence\": 10, // apply order within publish, optional\r\n  \"createdAt\": \"2025-08-07T10:30:00Z\",\r\n  \"createBy\": \"user123\",\r\n  \"updatedAt\": \"2025-08-07T10:30:00Z\",\r\n  \"updatedBy\": \"user123\"\r\n}\r\n```\r\n\r\nUI ➜ Staging ➜ (Validation + Approval) ➜ publish/cancel ➜ Main Table\r\n\r\n---\r\n\r\n### LifeCycle\r\n\r\n#### New Record entry for the Root and childs\r\n\r\n- First Post Request (create header + root change) : POST /mdm/{rootTableCode}\r\n  - Fetch configuration for the table code from the mdm config and check if the entityType=ROOT then it's fresh record insert for the root as well as the childs\r\n  - Insert header with identity only (publishingStatus=DRAFT), role=ROOT_BUNDLE\r\n  - Insert one change with entityRole=ROOT containing oldValue/newValue, set approvalStatus=PENDING (or auto-approve if maker-checker not required for root).\r\n    - API will fetch the configuration from the mdm config and check if it is a root entity then it will create record in the header and change log table. Also it must validates all fields using the mdm field configurations.\r\n- Subsequent Post request (add child changes under root) : POST /mdm/{rootTableCode}/{rootrecordcode}/{childTableCode}\r\n  - Client sends root entity code (identity) + child rows.\r\n  - Server resolves stagingId, inserts one change per child row into mdm_staging_change.\r\n  - Each gets its own approval lifecycle.\r\n  - POST /mdm/{rootTableCode}/{rootrecordcode}/{childTableCode}\r\n    - API will first fetch the record in the header table using the roottablecode and rootrecordcode and finds out the id of the header row if it is not present then it will reject the record.\r\n    - API will fetch the configuration from the mdm config and check if it is a child entity then it will create record in the and change log table. Also it must validates all fields using the table config.\r\n- Approvals (independent per change)\r\n  - PUT /mdm/changes/{changeId}/approve\r\n  - PUT /mdm/changes/{changeId}/reject\r\n  - Root change and each child change may be approved separately.\r\n- Publish\r\n  - POST /mdm/{rootTableCode}/{rootrecordcode}/publish\r\n    - All the root and child change logs must be aprpoved.\r\n    - All the required child records must exists\r\n\r\n#### Existing Record update for the Root\r\n\r\n- User selects existing root table rows and click on the update.\r\n- PUT /mdm/{rootTableCode}/{rootrecordcode}\r\n  - API should check if it is root entity using the mdmconfig and create record in the header and change log table. it will also first fetch old record value from the main table.\r\n- Approval and publishing flow are same as new record entry\r\n\r\n#### Existing Record update for the Child entity\r\n\r\n- User selects existing child table rows and click on the update.\r\n- PUT /mdm/{childTableCode}/{childRecordCode}\r\n  - API should check if it is child entity using the mdmconfig.\r\n  - It will fetch root table record and create an entry in the header table. It will fetch the existing record from the main child table and stamp it in the change log table with old and new value.\r\n- Approval and publishing flow are same as new record entry\r\n\r\n#### New Record in the child entity for the existing root entity\r\n\r\n- User selects the existing root table rows and click on add records for the child entity\r\n- PUT /mdm/{rootTableCode}/{rootrecordcode}/{childTableCode}\r\n\r\n---\r\n\r\n### Validators\r\n\r\nMasterController\r\n└── MasterService\r\n└── ValidationManager\r\n├── MandatoryValidator\r\n├── TypeValidator\r\n├── ...\r\n└── AutoGenerationValidator <-- calls →\r\nAutoGenerationManager\r\n└── PatternAutoGenerationStrategy\r\n└── PatternEvaluator\r\n└── TokenResolvers\r\n\r\n| **Validator**            | **Driven by Field Config**              | **Reads From**              |\r\n| ------------------------ | --------------------------------------- | --------------------------- |\r\n| `MandatoryValidator`     | `isMandatory: true`                     | top-level field property    |\r\n| `TypeValidator`          | `type: STRING/INTEGER/...`              | top-level field property    |\r\n| `LengthValidator`        | `length` (for STRING)                   | top-level field property    |\r\n| `RegexValidator`         | validations: \\[{type: \"regex\", ...}]    | `validations[]`             |\r\n| `RangeValidator`         | validations: \\[{type: \"range\", ...}]    | `validations[]`             |\r\n| `AllowedValuesValidator` | validations: \\[{type: \"allowedValues\"}] | `validations[]`             |\r\n| `ReferenceValidator`     | type = `REFERENCE` + `reference` object | top-level field + reference |\r\n| `EditableValidator`      | `isEditable: false`                     | top-level field property    |\r\n| `AutoGenerationHandler`  | `autoGeneration.enabled: true`          | `autoGeneration` object     |\r\n| `IdentifierValidator`    | `isIdentifier: true`                    | top-level field property    |\r\n\r\n### Supported Extensions in Pattern Strategy\r\n\r\nBelow is a list of commonly useful extensions you can support in your pattern string:\r\n\r\n- Random Number or Alphanumeric\r\n\r\n| Syntax                 | Description                       | Example Output |\r\n| ---------------------- | --------------------------------- | -------------- |\r\n| `${random(3)}`         | 3-digit random number             | `583`          |\r\n| `${randomAlpha(4)}`    | 4-letter random uppercase letters | `XQPK`         |\r\n| `${randomAlphaNum(6)}` | 6-char random alphanumeric string | `A1C9Z2`       |\r\n\r\n- Sequence Number with Padding\r\n\r\n| Syntax                       | Description                                | Example Output   |\r\n| ---------------------------- | ------------------------------------------ | ---------------- |\r\n| `${sequence(branch_seq, 5)}` | Auto-incremented number padded to 5 digits | `00001`, `00002` |\r\n\r\n- Date/Time Tokens\r\n\r\n| Syntax              | Description                  | Example Output |\r\n| ------------------- | ---------------------------- | -------------- |\r\n| `${date(yyyyMMdd)}` | Current date in given format | `20250806`     |\r\n| `${year}`           | Current year                 | `2025`         |\r\n| `${month}`          | Current month (2 digits)     | `08`           |\r\n\r\n- Context Variables\r\n\r\n| Syntax           | Description                     |\r\n| ---------------- | ------------------------------- |\r\n| `${city_code}`   | Provided dynamically at runtime |\r\n| `${user_id}`     | Logged-in user id               |\r\n| `${tenant_code}` | Tenant scope of the request     |\r\n\r\n- Static Prefix/Suffix\r\n\r\n\"pattern\": \"BRN-${city_code}-${date(yyyyMM)}-${sequence(branch_seq, 4)}\"\r\n\r\n### **Class Structure**\r\n\r\n![](./images/masterdataClass.png)\r\n\r\n#### **Core Classes**\r\n\r\n##### **MasterDataManagement**\r\n\r\n- Represents configurations for managing master data.\r\n\r\n##### **LookupCategory**\r\n\r\n- Represents categories for lookup codes.\r\n- Attributes:\r\n  - `categoryName`, `description`, `tenantCode`.\r\n\r\n##### **LookupCode**\r\n\r\n- Stores individual lookup codes for a category.\r\n- Attributes:\r\n  - `code`, `value`, `sequence`, `effectiveFrom`, `effectiveTill`.\r\n\r\n##### **BranchMaster**\r\n\r\n- Example entity representing branch-level information.\r\n- Attributes:\r\n  - `branchCode`, `branchName`, `address`, `pincode`.\r\n\r\n---\r\n\r\n### **Flow**\r\n\r\n#### MDM Endpoints\r\n\r\n| **HTTP Method** | **Endpoint**                    | **Description**                                                                                                                                                                       |\r\n| --------------- | ------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\r\n| `GET`           | `/api/v1/masters`               | List all masters (from `mdm_configs`) with metadata.                                                                                                                                  |\r\n| `GET`           | `/api/v1/masters/{master}`      | Fetch **approved** records for a master; supports filters via query params.                                                                                                           |\r\n| `GET`           | `/api/v1/masters/{master}/{id}` | Fetch a specific **approved** record by its business identifier. _(Version keys, if any, are sent via query/body—not in the path.)_                                                   |\r\n| `POST`          | `/api/v1/masters/{master}`      | Create a **draft** in staging + initial **CREATE** change from the DTO. **Scope**: `ROOT_BUNDLE` if `{master}` is a root and this is a new root record/version, else `CHILD_ONLY`.    |\r\n| `PUT`           | `/api/v1/masters/{master}/{id}` | Create or reuse a **draft** and stage an **UPDATE** change for that record. **Scope**: `CHILD_ONLY`. _(Version keys come in the body; identity/version fields immutable for UPDATE.)_ |\r\n| `DELETE`        | `/api/v1/masters/{master}/{id}` | Create or reuse a **draft** and stage a **DELETE** change. **Scope**: `CHILD_ONLY`.                                                                                                   |\r\n\r\n#### Drafts, Approvals & Publish endpoints\r\n\r\n| **HTTP Method** | **Endpoint**                                                | **Description**                                                                                                                     |\r\n| --------------- | ----------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------- |\r\n| `GET`           | `/api/v1/mdm?status=draft`                                  | List all **draft headers** (DRAFT). Supports paging and filters (e.g., creator/date).                                               |\r\n| `GET`           | `/api/v1/mdm?status=draft&mastername={name}`                | List **draft headers** filtered by table name.                                                                                      |\r\n| `GET`           | `/api/v1/mdm/{master}/{draftId}/changes`                    | List **change logs** under a draft (row/attribute/group units). Supports `latest`/`status` filters.                                 |\r\n| `POST`          | `/api/v1/mdm/{master}/{draftId}/changes`                    | **Add** a new change into an existing draft using the same DTO shape (server splits to row/attr/group per config).                  |\r\n| `PUT`           | `/api/v1/mdm/{master}/{draftId}/changes/{changeId}`         | **Edit** an existing change **in place** (draft edit—no internal versioning for the change).                                        |\r\n| `PUT`           | `/api/v1/mdm/{master}/{draftId}/changes/{changeId}/approve` | Approve a single change (maker–checker enforced per config).                                                                        |\r\n| `PUT`           | `/api/v1/mdm/{master}/{draftId}/changes/{changeId}/reject`  | Reject a single change with remarks.                                                                                                |\r\n| `GET`           | `/api/v1/mdm/{master}/drafts/{draftId}/readiness`           | Compute publish readiness: `readyToPublish`, required child counts (for root-bundle), temporal/uniqueness checks, blocking reasons. |\r\n| `PUT`           | `/api/v1/mdm/{master}/{draftId}/publish`                    | **Atomic publish** of the draft to main; applies approved changes (per scope), bumps eTags, enqueues search indexing.               |\r\n\r\n- **Notes:**\r\n  - Versioning keys (e.g., effective_start_date) are not in the URI; send them in the request body (or query when reading).\r\n  - Attribute-level approvals are driven by config; the server converts DTO diffs into per-attribute or grouped change units automatically.\r\n\r\n#### Master Data Validation Strategy (for POST and PUT)\r\n\r\nEach request to create (POST) or update (PUT) a master record is validated against the table configuration (field_metadata_config).\r\n\r\n- **Field-Level Validation Rules**\r\n  For each field defined in the fields array of the config JSON:\r\n\r\n| **Rule**             | **Condition**                                  | **Action**                                                                                                    |\r\n| -------------------- | ---------------------------------------------- | ------------------------------------------------------------------------------------------------------------- |\r\n| **Mandatory Check**  | `isMandatory = true`                           | Reject request if field is missing or null.                                                                   |\r\n| **Type Check**       | `type = STRING, INTEGER, DOUBLE, DECIMAL...`   | Ensure value matches declared data type.                                                                      |\r\n| **Length Check**     | `type = STRING` and `length` is defined        | Reject if value length exceeds `length`.                                                                      |\r\n| **Regex Validation** | In `validations[]` with `type = regex`         | Validate string pattern using the given regex.                                                                |\r\n| **Range Validation** | In `validations[]` with `type = range`         | Ensure numeric or date values fall within `min` and `max`.                                                    |\r\n| **Allowed Values**   | In `validations[]` with `type = allowedValues` | Value must be one of the allowed values.                                                                      |\r\n| **Reference Check**  | `type = REFERENCE`                             | Validate existence of referenced value in specified `reference.table` and `reference.field`.                  |\r\n| **Editable Check**   | `isEditable = false`                           | In `PUT`, ignore or reject any modifications to this field.                                                   |\r\n| **Auto-Generation**  | `autoGeneration.enabled = true`                | Ignore client input and generate value from backend logic using the defined `strategy` (e.g., UUID, pattern). |\r\n| **Identifier Check** | `isIdentifier = true`                          | Enforce uniqueness for the identifier (usually only one per table).                                           |\r\n\r\n- **Supported Field Types**\r\n\r\n| **Type**    | **Validation Notes**                                                         |\r\n| ----------- | ---------------------------------------------------------------------------- |\r\n| `STRING`    | Apply `length`, `regex`, and `allowedValues`.                                |\r\n| `INTEGER`   | Apply `range`. Convert from string if necessary.                             |\r\n| `DOUBLE`    | Apply `range`. Can also use `precision` and `scale` if enforced.             |\r\n| `BOOLEAN`   | Must be a valid boolean (`true`, `false`, `0`, `1`, `\"true\"` etc.).          |\r\n| `TIMESTAMP` | Must be in expected datetime format (`yyyy-MM-dd HH:mm:ss`, ISO 8601, etc.). |\r\n| `UUID`      | Must match UUID format. Typically generated by backend.                      |\r\n| `REFERENCE` | Lookup value must exist in referenced table/column.                          |\r\n| `ENUM`      | Use `allowedValues` for list of supported options.                           |\r\n\r\n- **Validation Order (Recommended)**\r\n  - Mandatory check\r\n  - Type conversion/validation\r\n  - Length or precision/scale\r\n  - Regex / allowedValues / range\r\n  - Reference validation\r\n  - Editable check (for PUT)\r\n  - Auto-generation override (if applicable)\r\n\r\n### Endpoint Detailed explaination\r\n\r\n- **GET /api/v1/masters**\r\n\r\n  - **Purpose:** List all masters (tables) and basic metadata from mdm_configs.\r\n  - **Process:**\r\n    - Read from mdm_configs.\r\n    - Apply search filter & pagination.\r\n\r\n- **POST /api/v1/masters/{master}**\r\n  - **Purpose:** Create a draft and the initial CREATE change in staging/changelog. If {master} is configured as ROOT and this is a new root record/version, set scope=ROOT_BUNDLE. Otherwise, scope=CHILD_ONLY (TABLE_ONLY).\r\n  - **Input**\r\n    - Path: master table code (string)\r\n    - Body: Main-table DTO for {master} (includes version fields if any)\r\n  - **Process:**\r\n    - Load table config for {master}.\r\n    - Decide scope:\r\n      - ROOT + new root record/version ⇒ ROOT_BUNDLE draft.\r\n      - Else ⇒ CHILD_ONLY draft.\r\n    - Create (or reuse) hidden draft header for the identity in the DTO.\r\n    - Build change log entry:\r\n      - If approval granularity = ROW → one row-level change.\r\n      - If ATTRIBUTE/GROUP → split diffs accordingly (one change per attr/group).\r\n    - operation=CREATE.\r\n    - Run validations (see “Shared validation rules”).\r\n    - Persist header (if new) and change(s); set approvalStatus per maker-checker config.\r\n  - **Validations**\r\n    - Field/type/regex/range/allowedValues/reference/auto-generation.\r\n    - Temporal: future date + pre-check no overlap.\r\n    - Identity immutability: ensure no existing main record with same identity/version.\r\n    - Orphan policy (if table has a parent).\r\n    - Attribute-mode: only changed attributes produce changes.\r\n- **PUT /api/v1/masters/{master}/{id}**\r\n\r\n  - **Purpose:** Create (or reuse) a draft and stage an UPDATE change for {master} (root or child). scope=CHILD_ONLY (approve/publish independently). If the DTO attempts to change a version key, reject (or require POST per your policy).\r\n  - **Input:**\r\n    - Path: master table code, id (row level code)\r\n    - Body: Main-table DTO for {master} with updated fields (includes version key value if table is versioned)\r\n  - **Process:**\r\n    - Load config; resolve identity from {id} + DTO.\r\n    - Draft resolution:\r\n      - draftMode=use → require open draft else 409.\r\n      - draftMode=new → require no open draft else 409.\r\n      - Default auto → reuse if exists, else create.\r\n    - Compute diffs vs baseline (latest staged change for this row in this draft, else main).\r\n    - Build UPDATE changes (row/attr/group depending on config).\r\n    - Validate and persist; set approvalStatus per maker-checker.\r\n  - **Validations:**\r\n    - Identity/version keys immutable for UPDATE (422 if changed).\r\n    - Field/type/temporal (no overlap if versioned and effStart unchanged).\r\n    - Attribute/group-specific rules & dependencies.\r\n\r\n- **DELETE /api/v1/masters/{master}/{id}**\r\n\r\n  - **Purpose:** Create (or reuse) a draft and stage a DELETE change. scope=CHILD_ONLY.\r\n  - same as update\r\n\r\n- **GET /api/v1/mdm?status=draft**\r\n\r\n  - **Purpose:** List all draft headers.\r\n  - **Input:**\r\n    - Query:\r\n      - status=draft (required)\r\n      - page, size\r\n    - mastername (optional filter)\r\n    - rootCode (optional)\r\n    - createdBy, dateFrom, dateTo (optional)\r\n  - **Process:**\r\n    - Query mdm_staging_root where publishingStatus=DRAFT, apply filters.\r\n    - Return summaries.\r\n  - json response:\r\n\r\n  ```json\r\n  {\r\n    \"items\": [\r\n      {\r\n        \"draftId\": \"drf-001\",\r\n        \"master\": \"mst_product\",\r\n        \"scope\": \"ROOT_BUNDLE\",\r\n        \"identity\": { \"keys\": { \"product_code\": \"PROD_ABC\" } },\r\n        \"updatedAt\": \"2025-08-13T08:12:00Z\",\r\n        \"pendingChanges\": 3\r\n      }\r\n    ],\r\n    \"page\": 0,\r\n    \"size\": 20,\r\n    \"total\": 1\r\n  }\r\n  ```\r\n\r\n- **GET /api/v1/mdm/{master}/{draftId}/changes**\r\n\r\n  - **Purpose:** List change logs under a draft (optionally latest only).\r\n  - **Input:**\r\n    - Path: master, draftId\r\n    - Query (optional):\r\n    - status=PENDING|APPROVED|REJECTED|ALL (default ALL)\r\n    - view=by-attribute|by-row\r\n  - **Process:**\r\n    - Fetch from mdm_staging_change by draftId.\r\n    - If latest=true, collapse by (tableCode, keys[, attribute/group]).\r\n    - Filter by status.\r\n  - Sample json\r\n\r\n  ```json\r\n  {\r\n    \"changes\": [\r\n      {\r\n        \"changeId\": \"chg-101\",\r\n        \"tableCode\": \"mst_product_rate\",\r\n        \"operation\": \"UPDATE|CREATE|DELETE|UPDATE_ATTR|UPDATE_GROUP\",\r\n        \"keys\": { \"product_code\": \"PROD_ABC\", \"roi_type\": \"FIXED\" },\r\n        \"attribute\": \"roi_value\",\r\n        \"oldValue\": 12.75,\r\n        \"newValue\": 12.5,\r\n        \"approvalStatus\": \"PENDING\",\r\n        \"createdAt\": \"2025-08-13T08:17:00Z\",\r\n        \"updatedAt\": \"2025-08-13T08:20:00Z\"\r\n      }\r\n    ]\r\n  }\r\n  ```\r\n\r\n- **POST /api/v1/mdm/{master}/{draftId}/changes**\r\n\r\n  - **Purpose:** Add an additional change to an existing draft (root or child DTO). Useful for back-office batch edits.\r\n  - **Input**\r\n    - Path: master, draftId\r\n    - Body: Main-table DTO (＋ optional targetTable if {master} is a root and you’re adding a child)\r\n  - **Process:**\r\n    - Ensure draft is DRAFT.\r\n    - Resolve target table; determine row vs attribute/group per config.\r\n    - Build change(s) (CREATE/UPDATE/DELETE/UPDATE_ATTR/UPDATE_GROUP) from DTO diff vs baseline.\r\n    - Validate and persist.\r\n\r\n- **PUT /api/v1/mdm/{master}/{draftId}/changes/{changeId}**\r\n\r\n  - **Purpose:** Modify the stored change log in place (no revisioning during draft edit).\r\n  - **Input**\r\n    - Path: master, draftId, changeId\r\n    - Body: Partial or full payload to replace the change’s newValue (or the scalar value for attribute change)\r\n  - **Process:**\r\n    - Fetch change; ensure draft is DRAFT.\r\n    - If you disallow editing APPROVED, return 409; otherwise set back to PENDING.\r\n    - Overwrite the change’s newValue / attribute fields.\r\n    - Re-run validations for the unit (row/attr/group).\r\n    - Save (updatedAt).\r\n\r\n- **PUT /api/v1/mdm/{master}/{draftId}/changes/{changeId}/approve**\r\n- **PUT /api/v1/mdm/{master}/{draftId}/changes/{changeId}/reject**\r\n\r\n  - **Purpose:** Approve or reject a single change (maker–checker enforced per config).\r\n  - **Input:**\r\n    - Path: master, draftId, changeId\r\n    - Body: { \"remarks\": \"...\", \"version\": 1 } (version optional if not tracked)\r\n  - **Process:**\r\n    - Re-validate the unit (row/attr/group).\r\n    - Set status APPROVED or REJECTED, stamp approvedBy/At or rejectedBy/At.\r\n\r\n- **PUT /api/v1/mdm/{master}/{draftId}/publish**\r\n\r\n  - **Purpose:** Apply approved changes to main in a single transaction; bump eTags; enqueue indexing.\r\n  - **Input**\r\n    - Path: master, draftId\r\n    - Body: none\r\n  - **Process**\r\n    - Re-run Readiness; if not ready → 412 with reasons.\r\n    - ROOT_BUNDLE: (tenant, root, identity)\r\n    - CHILD_ONLY: (tenant, tableCode, keys[, effStart])\r\n    - DB transaction:\r\n      - Apply approved ROOT (if any) then CHILDREN by publishOrder, then sequence.\r\n      - For attribute/group mode: compose final row and insert version (or update in place if non-versioned).\r\n      - Enforce unique (businessKey, effective_start_date) indexes (where applicable).\r\n      - Write outbox events for search reindex.\r\n      - Mark draft PUBLISHED; stamp publishAudit.\r\n\r\n- **GET /api/v1/mdm/{master}/drafts/{draftId}/readiness**\r\n  - **Purpose:** Compute whether the draft can be published now; return reasons if not.\r\n  - **Input**\r\n    - Path: master, draftId\r\n    - Query: none\r\n    - Body: none\r\n  - **Process**\r\n    - Gather latest APPROVED changes in the draft.\r\n    - Compose candidate records:\r\n      - For each table/key: overlay approved changes over main (attribute/group granularity aware).\r\n    - Run checks:\r\n      - Row-level: temporal (future & non-overlap), uniqueness, required fields.\r\n      - Scope:\r\n        - ROOT_BUNDLE: verify required children by table and minCount/maxCount.\r\n        - CHILD_ONLY/TABLE_ONLY: table-local checks only (no cross-table cardinality).\r\n    - Return readiness + blocking reasons.\r\n    - sample json\r\n    ```json\r\n    {\r\n      \"readyToPublish\": true,\r\n      \"scope\": \"ROOT_BUNDLE|CHILD_ONLY\",\r\n      \"rowLevelChecks\": { \"temporalOk\": true, \"uniqueOk\": true },\r\n      \"children\": [\r\n        {\r\n          \"tableCode\": \"mst_product_rate\",\r\n          \"required\": true,\r\n          \"minCount\": 1,\r\n          \"approvedCount\": 1,\r\n          \"ok\": true\r\n        }\r\n      ],\r\n      \"attributeChecks\": [{ \"field\": \"roi_value\", \"approved\": true }],\r\n      \"blockingReasons\": []\r\n    }\r\n    ```\r\n\r\n#### Shared validation rules (quick index)\r\n\r\n- Field: mandatory, type, length, regex, range, allowedValues\r\n- Reference: REFERENCE fields exist in referenced table/field\r\n- Editable: identity/version keys immutable in UPDATE (use POST for new version)\r\n- Temporal: future effective_start_date; no overlap per (businessKey, effStart) (pre-check + DB constraint)\r\n- Attribute mode: per-attribute/group diffs; dependencies; policy (APPROVED_ONLY vs ALL_APPROVED_REQUIRED)\r\n- Maker–checker: maker≠checker; approval required per table config\r\n","filename":"\\05. MasterDataManagement.md","format":"Markdown","order":5,"title":""},{"content":"## Generic Data Loader\r\nThe Generic Data Loader is a tool designed to facilate the import of data in the system. \r\n\r\nThere are mainly 3 types of data : \r\n- **Relation data** which includes master and transaction data, \r\n- **Unstructured data** which are part of the mongo collections and \r\n- **Object store data** which are files stored in the object store.\r\n\r\nThis tools loads data from CSV files for relation data and unstructured data. It also supports loading files into the object store.\r\n\r\nFor relation and unstructured data, there is a input specification config file in json format which defines the mapping between the source data and the target system data model.\r\n\r\nFor each table or collection, the config file specifies : \r\n- source file name/pattern and CSV parsing options\r\n- target system type (RDBMS/MONGODB)\r\n- entity name\r\n- unique fields for incremental loads and duplicate detection\r\n- field mappings (sourceField → targetField)\r\n- generation rules (defaults/sequence/uuid/custom)\r\n- reference mapping for FK resolution\r\n\r\nIt will also generate Identity or key related columns using configuration provided in the config file.\r\n\r\nFor relational and unstructured data, it supports incremental loading by specifying a unique key column in the config file. It also supports reference data mapping where foreign key relationships are maintained during the load process.\r\n\r\nThe Generic Data Loader can be run as a standalone tool or integrated into data pipelines for automated data loading processes. \r\n\r\n### Project Structure\r\n\r\nThe data loader is implemented as a single module:\r\n\r\n**data-loader-module**\r\n- Spring Boot command-line runner application (no web server)\r\n- Tomcat and other web dependencies are excluded from the build\r\n- Contains the core data loading library and CLI entrypoint\r\n- Entities and repositories are provided via external JARs loaded at runtime using `-Dloader.path=ext-libs`\r\n- Uses existing rahi frameworks like db-client, dss-client and oss-client to connect to the respective systems\r\n\r\n### Repository Structure\r\n\r\nThe data loader ecosystem uses a multi-repository approach:\r\n\r\n1. **data-loader-module** (single code repository)\r\n   - Contains the data loader application code\r\n   - Spring Boot command-line runner with no embedded web server\r\n   - Packaged as executable JAR\r\n\r\n2. **Module-specific Configuration Repositories** (one per module, shared across tenants)\r\n   - Example: `mdm-config`, `accounting-config`, `crm-config`\r\n   - Contains entity configuration JSON files (`entity-config.json`)\r\n   - Common configuration shared by all tenants for that module\r\n   - Version controlled separately for configuration management\r\n\r\n3. **Tenant-specific Data Repositories** (one per tenant)\r\n   - Example: `tenant-001-data`, `tenant-002-data`\r\n   - Folder structure: `/<module-name>/<csv-files>`\r\n   - Example paths:\r\n     - `/mdm/Industry_1.csv`\r\n     - `/mdm/SubIndustry_1.csv`\r\n     - `/accounting/ChartOfAccounts_1.csv`\r\n   - Each tenant maintains their own data files\r\n   - Supports multiple modules within the same tenant repository\r\n\r\n4. **Module-specific Entity JARs** (external libraries)\r\n   - Example: `mdm-entities.jar`, `accounting-entities.jar`\r\n   - Contains JPA entities and Spring Data repositories\r\n   - Loaded at runtime via `-Dloader.path=ext-libs`\r\n   - Allows the data loader to work with any module's entities without recompilation\r\n\r\n### High Level Architecture\r\n![Generic Data Loader Architecture](./images/dataLoader.png)\r\n\r\n### Configurations\r\n\r\nThe Generic Data Loader requires a configuration file in JSON format to define the data loading process. The configuration file includes the following specifications:\r\n- Entity config specifications: table/collection level configurations, field mappings, identity/key generation, reference data mapping etc.\r\n- Module level configurations : database connection details, object store connection details, input and output file paths etc.\r\n- Order of loading will be determined by the reference mapping defined in the table config specifications. for example if table A references table B, then table B will be loaded first followed by table A. Order dependency graph will be created based on the reference mapping and topological sorting will be used to determine the order of loading.\r\n\r\n\r\n#### Table Config Specifications for RDBMS and MongoDB\r\nThe table config specifications define the details for each table/collection to be loaded. This includes the target system type (RDBMS or MongoDB), entity name, unique fields, field mappings, input file pattern, input file format, delimiter, and header information.\r\n\r\n```json\r\n[\r\n    {\r\n        \"type\":\"RDBMS\", //type of the target system - RDBMS or MONGODB or OSS\r\n        \"entityName\":\"Branch\", //name of the entity in Java, (entity name with full package path)\r\n        \"repositoryName\":\"BranchRepository\",\r\n        \"uniqueFields\": [\"branchCode\" ], //unique businesskey columns\r\n        \"fields\": [\r\n            {\r\n                \"sourceField\": \"branchCode\", //name of the field in the target entity/csv both should be same\r\n                \"targetField\": \"branchCode\", //name of the field in the target entity/csv both should be same\r\n                \"dataType\":\"STRING\" , // data type of the csv field - STRING, DOUBLE, DATE, TIMESTAMP, BOOLEAN\r\n                \"isMandatory\": true, //if the column is mandatory in csv file\r\n                \"defaultValue\": \"\", //default value if the column value is missing in source file\r\n                \"role\": \"BUSINESS_KEY\", //role of the field in the target entity: BUSINESS_KEY, FOREIGN_KEY, DATA, GENERATED\r\n                \"generationStrategy\": {  //applicable only if role = GENERATED\r\n                    \"strategy\": \"SEQUENCE\", //SEQUENCE, UUID, CUSTOM, DEFAULT\r\n                    \"defaultValue\": \"\", //applicable only if strategy = DEFAULT\r\n                    \"sequenceName\": \"branch_id_seq\", //applicable only if strategy = SEQUENCE (note: sequenceName is config-only; actual DB sequence fetch is not yet implemented - see Generation Strategies section)\r\n                    \"prefix\": \"BRN-\", //applicable only if strategy = CUSTOM\r\n                    \"suffix\": \"\", //applicable only if strategy = CUSTOM\r\n                    \"startValue\": 1000, //applicable only if strategy = SEQUENCE\r\n                    \"incrementBy\": 1, //applicable only if strategy = SEQUENCE\r\n                    \"randomLength\": 5 //applicable only if strategy = CUSTOM\r\n                },\r\n                \"validations\": [ //optional list of validation rules\r\n                    { \"type\": \"MIN_LENGTH\", \"value\": 3 },\r\n                    { \"type\": \"MAX_LENGTH\", \"value\": 20 },\r\n                    { \"type\": \"PATTERN\", \"value\": \"^[A-Z0-9]+$\" }\r\n                ],\r\n                \"reference\": {\r\n                    \"entityName\":\"\", //name of the referenced entity\r\n                    \"repositoryName\":\"\", //repository name of the referenced entity\r\n                    \"lookupFields\": [ //list of CSV-to-parent-field mappings for FK resolution\r\n                        { \"csvField\": \"branchCode\", \"parentField\": \"branchCode\" }\r\n                    ],\r\n                    \"fkMode\":\"BUSINESS_KEY\", //mode of foreign key resolution - BUSINESS_KEY or SURROGATE_KEY\r\n                    \"selectField\":\"branch_id\", //parent PK column to retrieve; required only when fkMode = SURROGATE_KEY\r\n                    \"failOnMissing\": true //if true, will throw error if referenced record is not found\r\n                }//applicable only if role = FOREIGN_KEY; FK will be fetched from the referenced entity based on lookupFields mapping\r\n            }\r\n        ],\r\n        \"inputFilePattern\":\"Branch_*.csv\", //optional- input filename pattern to load multiple files or can be specified during runtime\r\n        \"inputFileFormat\":\"csv\",  // input file format\r\n        \"delimiter\":\",\",    //applicable for csv files\r\n        \"hasHeader\": true   //applicable for csv files\r\n    }\r\n]\r\n```\r\n\r\n##### JSON Input Format Config (MongoDB)\r\n\r\nFor MongoDB entities, `inputFileFormat: \"json\"` allows loading from JSON files instead of CSV. Each JSON file contains an array of documents (directly as root array, or nested under a path specified by `jsonRootPath`). The `delimiter` and `hasHeader` fields are not applicable and must be omitted.\r\n\r\n`sourceField` in FieldConfig uses **dot-notation** to navigate into nested JSON objects (e.g., `\"address.city\"` reads `record[\"address\"][\"city\"]`). For top-level fields the notation is the same as CSV (e.g., `\"name\"`).\r\n\r\n```json\r\n[\r\n    {\r\n        \"type\": \"MONGODB\",\r\n        \"entityName\": \"CustomerProfile\",\r\n        \"repositoryName\": \"customerProfileRepository\",\r\n        \"uniqueFields\": [\"customerId\"],\r\n        \"inputFilePattern\": \"CustomerProfile_*.json\",\r\n        \"inputFileFormat\": \"json\",\r\n        \"jsonRootPath\": \"records\",  // path to the array; omit if root is directly an array\r\n        \"fields\": [\r\n            {\r\n                \"sourceField\": \"customerId\",        // top-level field\r\n                \"targetField\": \"customerId\",\r\n                \"dataType\": \"STRING\",\r\n                \"role\": \"BUSINESS_KEY\",\r\n                \"isMandatory\": true\r\n            },\r\n            {\r\n                \"sourceField\": \"profile.firstName\", // dot-notation → record[\"profile\"][\"firstName\"]\r\n                \"targetField\": \"firstName\",\r\n                \"dataType\": \"STRING\",\r\n                \"role\": \"DATA\",\r\n                \"isMandatory\": true\r\n            },\r\n            {\r\n                \"sourceField\": \"profile.lastName\",\r\n                \"targetField\": \"lastName\",\r\n                \"dataType\": \"STRING\",\r\n                \"role\": \"DATA\",\r\n                \"isMandatory\": true\r\n            },\r\n            {\r\n                \"sourceField\": \"profile.dateOfBirth\",\r\n                \"targetField\": \"dateOfBirth\",\r\n                \"dataType\": \"DATE\",\r\n                \"role\": \"DATA\",\r\n                \"isMandatory\": false\r\n            },\r\n            {\r\n                \"sourceField\": \"address.city\",      // dot-notation → record[\"address\"][\"city\"]\r\n                \"targetField\": \"city\",\r\n                \"dataType\": \"STRING\",\r\n                \"role\": \"DATA\",\r\n                \"isMandatory\": false\r\n            },\r\n            {\r\n                \"sourceField\": \"address.pinCode\",\r\n                \"targetField\": \"pinCode\",\r\n                \"dataType\": \"STRING\",\r\n                \"role\": \"DATA\",\r\n                \"isMandatory\": false\r\n            },\r\n            {\r\n                \"sourceField\": \"industryCode\",      // FK field — top-level, dot-notation same as CSV\r\n                \"targetField\": \"industryCode\",\r\n                \"dataType\": \"STRING\",\r\n                \"role\": \"FOREIGN_KEY\",\r\n                \"isMandatory\": true,\r\n                \"reference\": {\r\n                    \"entityName\": \"Industry\",\r\n                    \"repositoryName\": \"industryRepository\",\r\n                    \"lookupFields\": [\r\n                        { \"csvField\": \"industryCode\", \"parentField\": \"industryCode\" }\r\n                    ],\r\n                    \"fkMode\": \"BUSINESS_KEY\",\r\n                    \"failOnMissing\": true\r\n                }\r\n            }\r\n        ]\r\n    }\r\n]\r\n```\r\n\r\n**Corresponding input JSON file structure (`CustomerProfile_1.json`):**\r\n\r\n```json\r\n{\r\n  \"records\": [\r\n    {\r\n      \"customerId\": \"CUST001\",\r\n      \"profile\": {\r\n        \"firstName\": \"Alice\",\r\n        \"lastName\": \"Smith\",\r\n        \"dateOfBirth\": \"1990-03-15\"\r\n      },\r\n      \"address\": {\r\n        \"city\": \"Bangalore\",\r\n        \"pinCode\": \"560001\"\r\n      },\r\n      \"industryCode\": \"IT\"\r\n    },\r\n    {\r\n      \"customerId\": \"CUST002\",\r\n      \"profile\": {\r\n        \"firstName\": \"Bob\",\r\n        \"lastName\": \"Jones\",\r\n        \"dateOfBirth\": \"1985-07-22\"\r\n      },\r\n      \"address\": {\r\n        \"city\": \"Mumbai\",\r\n        \"pinCode\": \"400001\"\r\n      },\r\n      \"industryCode\": \"FIN\"\r\n    }\r\n  ]\r\n}\r\n```\r\n\r\nIf the JSON file is a root-level array (no wrapper object), omit `jsonRootPath`:\r\n\r\n```json\r\n[\r\n  { \"customerId\": \"CUST001\", \"profile\": { ... } },\r\n  { \"customerId\": \"CUST002\", \"profile\": { ... } }\r\n]\r\n```\r\n\r\n**Dot-notation rules for `sourceField`:**\r\n- Top-level field: `\"customerId\"` → `record.customerId`\r\n- One level nested: `\"profile.firstName\"` → `record[\"profile\"][\"firstName\"]`\r\n- Multi-level nested: `\"org.address.city\"` → `record[\"org\"][\"address\"][\"city\"]`\r\n- Array element by index: `\"contacts.0.phone\"` → `record[\"contacts\"][0][\"phone\"]`\r\n- If the path does not exist in a record, the value is treated as `null` — standard `isMandatory` / `defaultValue` rules apply\r\n\r\n**Note:** `lookupFields[].csvField` in FK reference configs is a dot-notation path for JSON input (same convention as `sourceField`). The FK resolution pipeline is unchanged — `JsonReader` pre-flattens the record into a `Map<String, String>` keyed by dot-notation path, so all downstream components (RowMapper, FkResolverEngine, etc.) require no modification.\r\n- If role = FOREIGN_KEY:\r\n    - reference.entityName required\r\n    - reference.repositoryName required\r\n    - reference.lookupFields required (at least one entry with csvField + parentField)\r\n    - reference.fkMode required\r\n    - reference.failOnMissing required (boolean)\r\n- If reference.fkMode = SURROGATE_KEY:\r\n    - reference.selectField required\r\n- If reference.fkMode = BUSINESS_KEY:\r\n    - reference.selectField must be omitted (or ignored)\r\n    \r\n\r\n**Field Roles:**\r\n- BUSINESS_KEY: Unique business key columns used for duplicate detection and foreign key resolution.\r\n- FOREIGN_KEY: Columns that reference other tables/collections.\r\n- DATA: Regular data columns.\r\n- GENERATED: Columns that require value generation based on specified strategies.\r\n\r\n**Foreign Key Resolution: Two Modes (per FK field)**:\r\n- BUSINESS_KEY : \r\n    - child stores parent business key value\r\n    - loader validates parent existence using business key(s)\r\n    - example : \r\n    ```json\r\n    {\r\n        \"sourceField\": \"industryCode\",\r\n        \"targetField\": \"industryCode\",\r\n        \"dataType\":\"STRING\",\r\n        \"role\": \"FOREIGN_KEY\",\r\n        \"isMandatory\": true,\r\n        \"reference\": {\r\n            \"entityName\": \"Industry\",\r\n            \"repositoryName\": \"IndustryRepository\",\r\n            \"lookupFields\": [\r\n                { \"csvField\": \"industryCode\", \"parentField\": \"industryCode\" }\r\n            ],\r\n            \"fkMode\": \"BUSINESS_KEY\",\r\n            \"failOnMissing\": true\r\n        }\r\n    }\r\n    ```\r\n    - Behavior :\r\n        - Loader reads `industryCode` from child CSV\r\n        - Queries `Industry` table WHERE `industryCode` = child value\r\n        - Validates existence; throws error if not found and `failOnMissing`=true\r\n        - Inserts child row with `industryCode` = child value\r\n- SURROGATE_KEY :\r\n    - child stores parent surrogate key (PK) value\r\n    - loader looks up parent using business key(s) to get surrogate key\r\n    - example :\r\n    ```json\r\n    {\r\n        \"sourceField\": \"industryCode\",\r\n        \"targetField\": \"industryKey\",\r\n        \"dataType\":\"LONG\",\r\n        \"role\": \"FOREIGN_KEY\",\r\n        \"isMandatory\": true,\r\n        \"reference\": {\r\n            \"entityName\": \"Industry\",\r\n            \"repositoryName\": \"IndustryRepository\",\r\n            \"lookupFields\": [\r\n                { \"csvField\": \"industryCode\", \"parentField\": \"industryCode\" }\r\n            ],\r\n            \"fkMode\": \"SURROGATE_KEY\",\r\n            \"selectField\": \"industryKey\",\r\n            \"failOnMissing\": true\r\n        }\r\n    }\r\n    ```\r\n    - Behavior :\r\n        - Loader reads `industryCode` from child CSV\r\n        - Queries `Industry` table WHERE `industryCode` = child value\r\n        - Retrieves `industryKey` (PK); throws error if not found and `failOnMissing`=true\r\n        - Inserts child row with `industryKey` = retrieved PK value\r\n\r\n#### Specification for the Object Store Data Load\r\nJson template file will have path to the file and metadata information. It also defines reference entity where the document reference will be stored.\r\n\r\nDocument will be uploaded against the existing reference in the reference table/collection, for example applicant_id in kyc_documents table/collection. We can upload multiple files for the same reference.\r\n\r\n```json\r\n[\r\n    {   \r\n        \"type\":\"OSS\", //type of the target system - RDBMS or MONGODB or OSS\r\n        \"inputFileFormat\":\"json\",  // input file format - csv or json\r\n        \"files\": [\r\n            {\r\n                \"path\": \"/path/to/aadharFront.jpg\",\r\n                \"metadata\": {\r\n                    \"documentType\": \"aadhar_front\",\r\n                    \"uploadedBy\": \"user1\"\r\n                }\r\n            },\r\n            {\r\n                \"path\": \"/path/to/aadharBack.jpg\",\r\n                \"metadata\": {\r\n                    \"documentType\": \"aadhar_back\",\r\n                    \"uploadedBy\": \"user1\"\r\n                }\r\n            }\r\n        ],\r\n        \"reference\" : {\r\n            \"type\":\"RDBMS/MONGODB\", //type of the reference system - RDBMS or MONGODB\r\n            \"entityName\":\"KycDocuments\", //name of the reference entity (entity name with full package path)\r\n            \"repositoryName\":\"KycDocumentsRepository\",\r\n            \"repositoryMethod\":\"findByApplicantIdAndDocumentType\",\r\n            \"documentFieldName\":\"documentId\", //field in the reference entity where the document id will be stored\r\n            \"uniqueFields\": [\"applicantId\", \"documentType\"], //unique businesskey columns\r\n            \"fields\":[\r\n                {\r\n                    \"name\":\"applicant_id\", //name of the reference field\r\n                    \"value\":\"applicant_456\" //value of the reference field\r\n                },\r\n                {\r\n                    \"name\":\"document_type\",\r\n                    \"value\":\"invoice\"\r\n                }\r\n            ],\r\n            \"action\":\"INSERT/UPDATE\" //action to be performed on the reference table/collection\r\n        }\r\n    }\r\n]\r\n```\r\n\r\n\r\n#### Module Level Configurations\r\nDatabase connection details will be part of the co.properties file or can be provided as environment variables.\r\n\r\nInput and output folder paths can be provided as command line arguments during runtime.\r\n\r\nArchive path, Summary and error folder paths can also be provided as command line arguments during runtime.\r\n\r\nTenant Id will be provided as command line argument during runtime.\r\n\r\n#### Configuration and Data Repository Structure\r\n\r\n**Config Repository** (per module, shared across tenants):\r\n```\r\n<module>-config/\r\n├── entity-config.json          # Entity configuration for this module\r\n├── validation-rules.json       # Optional validation rules\r\n└── README.md\r\n```\r\n\r\n**Tenant Data Repository** (per tenant, contains all modules):\r\n```\r\n<tenant-id>-data/\r\n├── mdm/\r\n│   ├── Industry_1.csv\r\n│   ├── Industry_2.csv\r\n│   ├── SubIndustry_1.csv\r\n│   └── Branch_1.csv\r\n├── accounting/\r\n│   ├── ChartOfAccounts_1.csv\r\n│   └── FiscalYear_1.csv\r\n└── crm/\r\n    ├── Customer_1.csv\r\n    └── Contact_1.csv\r\n```\r\n\r\n**External Entity JARs** (loaded via `-Dloader.path`):\r\n```\r\next-libs/\r\n├── mdm-entities.jar            # MDM JPA entities + repositories\r\n├── accounting-entities.jar      # Accounting entities + repositories\r\n└── crm-entities.jar             # CRM entities + repositories\r\n```\r\n\r\n#### Example Specs for RDBMS with Foreign Key Resolution\r\n\r\n**Important Notes:**\r\n- **Primary Keys (PK)**: Auto-generated by the database during insertion. PKs should NOT be present in CSV files or configuration.\r\n- **Unique Columns**: Business key columns that uniquely identify rows. These are used for:\r\n  - Duplicate detection during incremental loads\r\n  - Foreign key (FK) resolution - when child table references parent\r\n\r\n#### Parent/child: industry → sub-industry\r\n\r\nCSV files for two Entities: `Industry` (parent) and `SubIndustry` (child).\r\n\r\n```Industry_1.csv\r\nindustryCode,industryName,uuid\r\nIT,Information Technology,123e4567-e89b-12d3-a456-426614174000\r\nFIN,Finance,123e4567-e89b-12d3-a456-426614174001\r\n```\r\n\r\n```SubIndustry_1.csv\r\nindustryCode,subindustryCode,subindustryName,uuid\r\nIT,SW,Software,223e4567-e89b-12d3-a456-426614174000\r\nIT,HW,Hardware,223e4567-e89b-12d3-a456-426614174001\r\nFIN,BNK,Banking,223e4567-e89b-12d3-a456-426614174002\r\n``` \r\n\r\n\r\n\r\nTable config illustrates required fields, identity generation, and the foreign-key lookup into the parent table.\r\n\r\n```json\r\n[\r\n    {   \r\n        \"type\":\"RDBMS\",\r\n        \"entityName\": \"Industry\", //(entity name with full package path)\r\n        \"repositoryName\": \"IndustryRepository\",\r\n        \"uniqueFields\": [\"industryCode\"],\r\n        \"fields\": [\r\n            { \r\n                \"sourceField\": \"industryCode\", \r\n                \"targetField\": \"industryCode\",\r\n                \"dataType\":\"STRING\",\r\n                \"role\": \"BUSINESS_KEY\", \r\n                \"isMandatory\": true \r\n            },\r\n            { \r\n                \"sourceField\": \"industryName\", \r\n                \"targetField\": \"industryName\",\r\n                \"dataType\":\"STRING\",\r\n                \"role\": \"DATA\",\r\n                \"isMandatory\": false\r\n            },\r\n            { \r\n                \"sourceField\": \"uuid\", \r\n                \"targetField\": \"uuid\",\r\n                \"dataType\":\"STRING\",\r\n                \"role\": \"DATA\", \r\n                \"isMandatory\": true\r\n            },\r\n            { \r\n                \"sourceField\": \"isActive\", \r\n                \"targetField\": \"isActive\",\r\n                \"dataType\":\"BOOLEAN\",\r\n                \"role\": \"GENERATED\",\r\n                \"isMandatory\": false,\r\n                \"generationStrategy\": {\r\n                    \"strategy\": \"DEFAULT\",\r\n                    \"defaultValue\": true\r\n                } \r\n            }\r\n        ],\r\n        \"inputFilePattern\": \"Industry_*.csv\",\r\n        \"inputFileFormat\": \"csv\",\r\n        \"delimiter\": \",\",\r\n        \"hasHeader\": true\r\n    },\r\n    {\r\n        \"type\":\"RDBMS\",\r\n        \"entityName\": \"SubIndustry\",\r\n        \"repositoryName\": \"SubIndustryRepository\",\r\n        \"uniqueFields\": [\"industryCode\", \"subindustryCode\"],\r\n        \"fields\": [\r\n            {\r\n                \"sourceField\": \"industryCode\",\r\n                \"targetField\": \"industryCode\",\r\n                \"dataType\":\"STRING\",\r\n                \"role\": \"FOREIGN_KEY\",\r\n                \"isMandatory\": true,\r\n                \"reference\": {\r\n                    \"entityName\": \"Industry\",\r\n                    \"repositoryName\": \"IndustryRepository\",\r\n                    \"lookupFields\": [\r\n                        { \"csvField\": \"industryCode\", \"parentField\": \"industryCode\" }\r\n                    ],\r\n                    \"fkMode\": \"BUSINESS_KEY\",\r\n                    \"failOnMissing\": true\r\n                }\r\n            },\r\n            { \r\n                \"sourceField\": \"subindustryCode\", \r\n                \"targetField\": \"subindustryCode\",\r\n                \"dataType\":\"STRING\",\r\n                \"role\": \"BUSINESS_KEY\",\r\n                \"isMandatory\": true\r\n            },\r\n            { \r\n                \"sourceField\": \"subindustryName\", \r\n                \"targetField\": \"subindustryName\",\r\n                \"dataType\":\"STRING\",\r\n                \"role\": \"DATA\",\r\n                \"isMandatory\": false\r\n            },\r\n            { \r\n                \"sourceField\": \"uuid\", \r\n                \"targetField\": \"uuid\",\r\n                \"dataType\":\"STRING\",\r\n                \"role\": \"DATA\", \r\n                \"isMandatory\": true\r\n            },\r\n            { \r\n                \"sourceField\": \"isActive\", \r\n                \"targetField\": \"isActive\",\r\n                \"dataType\":\"BOOLEAN\",\r\n                \"role\": \"GENERATED\",\r\n                \"isMandatory\": false,\r\n                \"generationStrategy\": {\r\n                    \"strategy\": \"DEFAULT\",\r\n                    \"defaultValue\": true\r\n                }\r\n            }\r\n        ],\r\n        \"inputFilePattern\": \"SubIndustry_*.csv\",\r\n        \"inputFileFormat\": \"csv\",\r\n        \"delimiter\": \",\",\r\n        \"hasHeader\": true\r\n    }\r\n]\r\n```\r\n\r\n**How it works:**\r\n1. **Parent Entity (`Industry`)** is loaded first:\r\n   - CSV contains: `industryCode`, `industryName`, `uuid`\r\n   - CSV does NOT contain `industryKey` (auto-generated PK)\r\n   - CSV does NOT contain isActive; loader uses default value `true`\r\n   - Loader inserts rows; database auto-generates `industryKey`\r\n   - `industryCode` is the unique business key\r\n\r\n2. **Child Entity (`SubIndustry`)** is loaded next:\r\n   - CSV contains: `industryCode`, `subindustryCode`, `subindustryName`, etc.\r\n   - CSV does NOT contain `subindustryKey` (auto-generated PK)\r\n   - `industryCode` is marked as FK with reference to `Industry.industryCode`\r\n   - **FK Resolution Process:**\r\n     - Loader reads industryCode\r\n     - Validates Industry exists (if failOnMissing=true)\r\n     - Inserts SubIndustry with industryCode\r\n     - DB FK constraint (on business key) enforces integrity (if present)\r\n\r\n\r\n### Core Domain Model\r\n#### Config Domain Objects\r\n- EntityConfig: Represents the configuration for a single entity\r\n    - type: RDBMS, MONGODB, OSS\r\n    - entityName: Name of the entity\r\n    - repositoryName: Name of the repository bean\r\n    - uniqueFields: List of unique business key fields\r\n    - fields: List of FieldConfig objects\r\n    - inputFilePattern: Input file name or pattern\r\n    - inputFileFormat: csv, json\r\n    - delimiter: Applicable for csv files only\r\n    - hasHeader: Applicable for csv files only\r\n    - jsonRootPath: Optional dot-notation path to the JSON array of records within the document (applicable for json format only; omit or leave empty when the root of the file is directly a JSON array)\r\n- FieldConfig: Represents the configuration for a single field\r\n    - sourceField: Name of the field in the source file\r\n    - targetField: Name of the field in the target entity\r\n    - dataType: STRING, INTEGER, LONG, DOUBLE, DATE, TIMESTAMP, BOOLEAN\r\n    - isMandatory: Boolean indicating if the field is mandatory\r\n    - defaultValue: Default value if the field is missing\r\n    - role: BUSINESS_KEY, FOREIGN_KEY, DATA, GENERATED\r\n    - generationStrategy: GenerationStrategy object (applicable if role = GENERATED)\r\n    - reference: ReferenceConfig object (applicable if role = FOREIGN_KEY)\r\n    - validations: List of ValidationRule objects (optional)\r\n- ValidationRule: Represents a validation rule for a field\r\n    - type: MIN_LENGTH, MAX_LENGTH, PATTERN, MIN_VALUE, MAX_VALUE, BETWEEN, ALLOWED_VALUES, NOT_FUTURE_DATE, NOT_PAST_DATE\r\n    - value: Primary parameter (e.g., minimum length, regex pattern, allowed values list)\r\n    - secondaryValue: Secondary parameter (used for BETWEEN range)\r\n    - message: Optional custom error message\r\n- GenerationStrategy: Represents the strategy for generating field values\r\n    - strategy: SEQUENCE, UUID, CUSTOM, DEFAULT\r\n    - defaultValue: Applicable if strategy = DEFAULT\r\n    - sequenceName: Applicable if strategy = SEQUENCE (config-only; DB sequence fetch not yet implemented)\r\n    - prefix: Applicable if strategy = CUSTOM\r\n    - suffix: Applicable if strategy = CUSTOM\r\n    - startValue: Applicable if strategy = SEQUENCE\r\n    - incrementBy: Applicable if strategy = SEQUENCE\r\n    - randomLength: Applicable if strategy = CUSTOM\r\n- LookupFieldMapping: Maps a CSV column to a parent entity field for FK resolution\r\n    - csvField: Name of the column in the child CSV file\r\n    - parentField: Name of the corresponding field in the parent entity\r\n- ReferenceConfig: Represents the configuration for foreign key references\r\n    - entityName: Name of the referenced entity\r\n    - repositoryName: Name of the repository bean of the referenced entity\r\n    - lookupFields: List of LookupFieldMapping objects (CSV column → parent entity field)\r\n    - fkMode: BUSINESS_KEY, SURROGATE_KEY\r\n    - selectField: Parent PK column to retrieve (applicable if fkMode = SURROGATE_KEY)\r\n    - failOnMissing: Boolean indicating if error should be thrown if referenced record is not found\r\n- OssEntityConfig: Represents the configuration for OSS entity\r\n    - type: OSS\r\n    - inputFileFormat: csv, json\r\n    - files: List of OssFileConfig objects\r\n    - reference: OssReferenceConfig object\r\n- OssFileConfig: Represents the configuration for a single OSS file\r\n    - path: Path to the file\r\n    - metadata: Map of metadata key-value pairs\r\n- OssReferenceConfig: Represents the configuration for OSS reference entity\r\n    - type: RDBMS, MONGODB\r\n    - entityName: Name of the reference entity\r\n    - repositoryName: Name of the repository bean\r\n    - documentFieldName: Field in the reference entity where the document id will be stored\r\n    - uniqueFields: List of unique business key fields\r\n    - fields: List of OssReferenceFieldConfig objects\r\n    - action: INSERT, UPDATE\r\n- OssReferenceFieldConfig: Represents the configuration for a single field in OSS reference entity\r\n    - name: Name of the reference field\r\n    - value: Value of the reference field\r\n\r\n#### Runtime Domain Objects\r\n- LoadJobContext: Represents a data load request\r\n    - tenantId: Tenant identifier\r\n    - runId: Unique run identifier\r\n    - inputPath: Input file path\r\n    - outputPath: Output file path\r\n    - archivePath: Archive file path\r\n    - errorPath: Error file path\r\n    - summaryPath: Summary file path\r\n    - jobStartTime: Job start time\r\n    - jobEndTime: Job end time\r\n    - metrics: JobMetrics/EntityMetrics objects\r\n    - entityPlans: List<EntityLoadPlan>\r\n- JobMetrics/EntityMetrics: Represents the result of a data load operation\r\n    - jobId: Unique job identifier\r\n    - entityName: Name of the entity\r\n    - totalRecords: Total number of records processed\r\n    - successRecords: Number of successfully processed records\r\n    - failedRecords: Number of failed records\r\n    - skippedRecords: Number of skipped records\r\n    - insertedRecords: Number of inserted records\r\n    - updatedRecords: Number of updated records\r\n    - errorDetails: List of ErrorDetail objects\r\n- ErrorDetail: Represents details of a single error\r\n    - rowNumber: Row number where the error occurred\r\n    - errorMessage: Error message\r\n- EntityLoadPlan: Represents the load plan for a single entity\r\n    - entityConfig: EntityConfig object\r\n    - inputFiles: List of input file paths to be processed for the entity\r\n    - loadOrder: Order in which the entity should be loaded based on dependencies\r\n    - referenceEntities: List of referenced entity names that this entity depends on\r\n    - mode: FULL/INCREMENTAL (dervied, default=FULL)\r\n- RowContext: Represents the context of a single row being processed\r\n    - sourceData: Map of source field names to values\r\n    - targetData: Map of target field names to values\r\n    - rowNumber: Row number in the source file\r\n    - isValid: Boolean indicating if the row is valid\r\n    - errorMessages: List of error messages for the row\r\n#### Component Interfaces\r\n**Loader Orchestrator layer**\r\n\r\n- DataLoaderRunner (module entrypoint)\r\n- ExecutionPlanner (dependency graph + file resolution)\r\n- LoadEngine (iterates plans, runs loaders)\r\n\r\n**Target abstraction**\r\n\r\n- TargetLoader (per type)\r\n    - RdbmsTargetLoader\r\n    - MongoTargetLoader\r\n    - OssTargetLoader\r\n\r\n**Shared services**\r\n- CsvReader\r\n- JsonReader\r\n- InputReaderFactory (selects CsvReader or JsonReader based on `inputFileFormat`)\r\n- RowMapper (source→target + type conversion + defaults)\r\n- ValueGenerator (DEFAULT/UUID/SEQUENCE/CUSTOM)\r\n- FkResolver (BUSINESS_KEY/SURROGATE_KEY)\r\n- DuplicateDetector / UpsertService\r\n- ErrorWriter + SummaryWriter\r\n\r\n![](./images/rdbmsLoader.png)\r\n\r\n### Config validation rules and Normalization\r\n#### Validation phases\r\n**Phase A: JSON structural validation (basic)**\r\n\r\n- Not null: type, entityName (for RDBMS/MONGO), repositoryName, fields, inputFileFormat (for RDBMS/MONGODB)\r\n- For `inputFileFormat = \"json\"`: `jsonRootPath` is optional; `delimiter` and `hasHeader` must be absent or ignored\r\n- For `inputFileFormat = \"csv\"`: `jsonRootPath` must be absent or ignored; `delimiter` and `hasHeader` are valid\r\n- `inputFileFormat` must be one of: `csv`, `json`\r\n\r\n- uniqueFields required for incremental mode; if absent → loader can still run in FULL mode but **FK lookup using business keys requires parent unique field availability.**\r\n\r\n**Phase B: Field-level semantic validation**\r\n\r\nFor each FieldConfig:\r\n\r\n- sourceField, targetField, dataType, role must be present\r\n- If role=GENERATED → generationStrategy required; strategy type required; DEFAULT strategy requires defaultValue\r\n- If role=FOREIGN_KEY → reference required and validated (see below)\r\n\r\n**Phase C: Reference validation rules**\r\n\r\nIf role = FOREIGN_KEY:\r\n\r\n- required: reference.entityName, reference.repositoryName, reference.lookupFields (non-empty list with csvField + parentField), reference.fkMode, reference.failOnMissing\r\n- If fkMode=SURROGATE_KEY: selectField required\r\n- If fkMode=BUSINESS_KEY: selectField must be absent/ignored\r\n\r\n**Phase D: Cross-config validation (graph + consistency)**\r\n\r\n- Every reference.entityName must exist as an EntityConfig OR be declared “external existing” (optional future flag). For now: assume it exists in config.\r\n- Detect cyclic dependencies and fail job before execution.\r\n- Ensure parent entity has uniqueFields containing lookupField (or can still query directly but unique index strongly recommended).\r\n\r\n#### Normalization (precompute to simplify runtime)\r\n\r\nNormalize config into runtime-friendly shape:\r\n- Build maps:\r\n    - sourceField → FieldConfig\r\n    - targetField → FieldConfig\r\n- Precompute lists:\r\n    - businessKeyFields, foreignKeyFields, dataFields, generatedFields\r\n- For FK fields: store parentEntityName, parentLookupField, and resolverMode\r\n\r\n### Dependency Graph and Load Order\r\nBuild a directed graph where each node is an entity and edges represent FK dependencies.\r\n- For each EntityConfig:\r\n    - For each FOREIGN_KEY field:\r\n        - Add edge from parent entity to current entity\r\n- Perform topological sort to determine load order.\r\n- Detect cycles and fail if found.\r\n\r\n#### Graph model\r\nDirected graph where:\r\n- Node = entityName\r\n- Edge = parentEntity -> childEntity\r\n\r\nDerived from FieldConfig.role=FOREIGN_KEY and reference.entityName.\r\n\r\nExample:\r\n- Industry -> SubIndustry\r\n\r\n#### Algorithm\r\n- Build adjacency list from all entity configs.\r\n- Validate all referenced parents exist.\r\n- Run topological sort (Kahn’s algorithm):\r\n    - compute indegree per node\r\n    - queue all nodes with indegree=0\r\n    - pop, append to order, decrement neighbors\r\n- If processedCount != nodeCount → cycle exists → fail with cycle report.\r\n\r\n#### Output\r\nList<EntityLoadPlan> in safe load order, each plan also retains:\r\n- parent dependencies (for diagnostics)\r\n- resolved input file list from pattern\r\n\r\n### Execution Flow Orchestration\r\n#### High-level sequence (RDBMS/Mongo)\r\n\r\n![](./images/dataLoaderOrchestrator.png)\r\n\r\n#### Entity load inner loop (row pipeline)\r\nFor each CSV row:\r\n- Parse row into rawMap\r\n- Apply defaults and mandatory checks\r\n- Type coerce into normalized\r\n- Generate values for GENERATED fields\r\n- Resolve FK fields:\r\n    - BUSINESS_KEY: validate parent exists\r\n    - SURROGATE_KEY: fetch parent PK and set target field\r\n- Duplicate detection / upsert:\r\n    - compute business key tuple from uniqueFields\r\n    - if exists → update else insert\r\n- On error:\r\n    - write row to error file with reason and continue\r\n\r\n> **Implementation Pending**: fail-fast mode — `failFastJob`, `failFastEntity`, `maxRowErrorsPerEntity` options are not yet implemented. All row errors are captured and processing continues.\r\n\r\n> **Implementation Pending**: FK lookup caching — every FK lookup makes a live query to the data store. In-memory caching to avoid repeated lookups of the same parent key is not yet implemented.\r\n\r\n\r\n### CSV Reader and Row Contract\r\n\r\nThis section defines **how CSV files are discovered, parsed, normalized into row maps, and handed to the mapping pipeline** for both **RDBMS** and **Mongo** entity loads (CSV input). It also defines **error semantics** at CSV level.\r\n\r\n---\r\n\r\n#### Responsibilities\r\n\r\n**CsvFileResolver**\r\n\r\n-  Resolve `inputFilePattern` against `inputDir`\r\n-  Support multiple files per entity (e.g., `Industry_*.csv`)\r\n- Return files in a deterministic order (stable sort)\r\n\r\n**CsvReader**\r\n\r\n-  Parse each file into a stream/iterator of `RowContext` objects:\r\n\r\n  - `rowNumber` (per file)\r\n  - `rawMap: Map<String,String>` keyed by column header OR generated column indexes\r\n  - `sourceFileName`\r\n\r\n**RowContract**\r\n\r\nGuarantees for downstream components:\r\n\r\n- Every row produces either:\r\n\r\n  - `RowContext` with `rawMap`, OR\r\n  - a **File-level error** if file is unreadable/invalid format\r\n- Downstream never deals with CSV parsing concerns (quotes, delimiter, headers)\r\n\r\n---\r\n\r\n#### File discovery and ordering\r\n\r\n**Inputs**\r\n\r\n- `ctx.inputDir` (runtime argument)\r\n- `entityConfig.inputFilePattern` OR runtime override (optional)\r\n- `entityConfig.inputFileFormat` must be `\"csv\"` for this section\r\n\r\n**Resolution rules**\r\n\r\n- Use glob matching:\r\n\r\n  - Example: `Industry_*.csv` matches `Industry_1.csv`, `Industry_2.csv`\r\n- If **no files matched**:\r\n\r\n  - If entity is **mandatory** (optional future flag): fail job\r\n  - Otherwise: mark entity as skipped with metrics `skippedFiles=0`, `skippedEntity=true`\r\n  - (For first cut: treat as **error** to avoid silent no-ops unless we have a skip policy.)\r\n\r\n**Deterministic ordering**\r\n\r\nSort by:\r\n\r\n- filename lexicographic ascending\r\n- if same name (unlikely) fallback: lastModified ascending\r\n\r\nThis ensures reruns are reproducible.\r\n\r\n---\r\n\r\n#### CSV parsing options\r\n\r\nFrom config:\r\n\r\n-  `delimiter` (default `,`)\r\n- `hasHeader` (default `true`)\r\n\r\n**Recommended additions (module-level defaults)**:\r\n\r\n- `quoteChar` default `\"`\r\n- `escapeChar` default `\"` (CSV standard quoting behavior)\r\n- `trimWhitespace` default `true`\r\n- `emptyAsNull` default `true`\r\n\r\nIf you don’t want to extend config right now: implement as constants.\r\n\r\n---\r\n\r\n#### Header handling\r\n\r\n**hasHeader = true**\r\n\r\n- First row is header\r\n- Header values become keys in `rawMap`\r\n- Normalization:\r\n  - Trim header names\r\n  - Preserve case as-is OR normalize to canonical (recommend: preserve but compare case-insensitively during mapping)\r\n- Duplicate header names:\r\n  - Fail the file (ambiguity)\r\n\r\n**hasHeader = false**\r\n\r\n- Generate column keys as: `col1`, `col2`, ... or `c1`, `c2`\r\n- In this case, **FieldConfig.sourceField must refer to these generated names**\r\n- Recommendation: discourage `hasHeader=false` unless absolutely needed.\r\n\r\n---\r\n\r\n#### Raw row map contract\r\n\r\n`rawMap: Map<String,String>` satisfies:\r\n\r\n- Keys are header column names (or generated colN)\r\n- Values are raw strings exactly as parsed, then:\r\n  - if `trimWhitespace=true`: strip leading/trailing whitespace\r\n  - if `emptyAsNull=true`: `\"\"` becomes `null`\r\n- Row number starts at:\r\n    - `2` for first data row when header exists\r\n    - `1` otherwise\r\n\r\n`RowContext` includes:\r\n\r\n- `entityName`\r\n- `sourceFile`\r\n- `rowNumber`\r\n- `rawMap`\r\n\r\n---\r\n\r\n#### Handling missing / extra columns\r\n\r\nThis is where CSV contract meets config mapping.\r\n\r\n**Missing column in CSV**\r\n\r\nIf a `FieldConfig.sourceField` is absent in header (or generated keys):\r\n\r\n- If `FieldConfig.isMandatory=true`:\r\n\r\n  - Row error: `MISSING_COLUMN`\r\n- If not mandatory:\r\n\r\n  - Value treated as null → default handling applies later section.\r\n\r\nImportant: This is a **schema mismatch** and could be treated as file-level error too.\r\n\r\nRecommendation:\r\n\r\n- If **any mandatory field missing from header**, fail the file early (cheaper).\r\n- If optional field missing, allow.\r\n\r\n**Extra columns in CSV**\r\n\r\nAllowed. They are simply ignored unless referenced by config.\r\n\r\n---\r\n\r\n#### Bad CSV structure (file-level errors)\r\n\r\nFail the file (and entity) if:\r\n\r\n- File not readable / permissions\r\n- Invalid delimiter causes malformed records (unclosed quotes, inconsistent quoting)\r\n- Header duplicates\r\n- Header missing required mandatory columns (recommended strict mode)\r\n\r\n**Job behavior options** (module-level):\r\n\r\n- `failFast=true`: abort entire job on first file error\r\n- `failFast=false`: mark entity failed, continue with other entities\r\n\r\n---\r\n\r\n#### Row-level parse errors\r\n\r\nIf a specific row is malformed (e.g., broken quoting in middle of file):\r\n\r\n- Capture row as failed with:\r\n  - `errorCode=CSV_PARSE_ERROR`\r\n  - `message`\r\n  - `sourceFile`, `rowNumber` (if available)\r\n- Write to error output and continue if not failFast\r\n\r\n---\r\n\r\n#### Output artifacts (per entity)\r\n\r\nFor each input file:\r\n\r\n- `errors/<fileName>.errors.csv`\r\n\r\n  - includes original row fields + extra error columns:\r\n\r\n    - `_error_code`\r\n    - `_error_message`\r\n    - `_row_number`\r\n    - `_source_file`\r\n\r\nFor parsing errors where row content cannot be read:\r\n\r\n* Write a single \"synthetic row\" error line containing only metadata + message.\r\n---\r\n\r\n#### Interfaces\r\n\r\n**CsvFileResolver**\r\n\r\n- `List<Path> resolveFiles(EntityConfig cfg, Path inputDir)`\r\n\r\n**CsvReader**\r\n\r\n- `Iterator<RowContext> read(Path csvFile, EntityConfig cfg)`\r\n\r\n**RowContextFactory**\r\n\r\n- `RowContext fromRaw(entityName, file, rowNumber, rawMap)`\r\n\r\n---\r\n\r\n#### Pseudocode (behavioral)\r\n\r\n```text\r\nresolve files by pattern\r\nif none -> error (or skip as policy)\r\n\r\nfor each file:\r\n  open reader\r\n  if hasHeader:\r\n     header = read first row\r\n     validate header unique\r\n     validate mandatory columns exist (strict mode)\r\n  for each data row:\r\n     try parse row -> raw values\r\n     apply trim + emptyAsNull\r\n     build rawMap\r\n     yield RowContext\r\n  on file error:\r\n     record entity/file failure\r\n     if failFast -> abort job\r\n```\r\n\r\n---\r\n\r\n### JSON Reader and Row Contract\r\n\r\nThis section defines how JSON files are discovered, parsed, flattened into row maps, and handed to the same mapping pipeline used by CSV loads. It applies to both **RDBMS** and **MongoDB** entities when `inputFileFormat = \"json\"`.\r\n\r\n---\r\n\r\n#### Design Principle: Flatten Early\r\n\r\n`JsonReader` converts each JSON record into the same `RowContext.rawMap: Map<String, String>` contract that `CsvReader` produces. This means every downstream component — `RowMapper`, `TypeCoercer`, `FieldValidator`, `FkResolverEngine`, `ValueGenerationEngine`, `UpsertService` — is **completely unaware** of the input format. The format difference is fully absorbed by the reader.\r\n\r\n---\r\n\r\n#### Responsibilities\r\n\r\n**JsonFileResolver**\r\n\r\n- Resolves `inputFilePattern` against `inputDir` using glob matching (same rules as `CsvFileResolver`, but expects `.json` file extension)\r\n- Returns files in deterministic order (lexicographic ascending, lastModified as tiebreaker)\r\n\r\n**JsonReader**\r\n\r\n- Opens a JSON file using Jackson's `ObjectMapper`\r\n- Navigates to the records array using `jsonRootPath` (dot-notation traversal)\r\n- For each record object in the array, produces a `RowContext` with a flat `rawMap` keyed by dot-notation paths\r\n- `jsonRootPath` empty/null → root of JSON file is the records array directly: `[{...}, {...}]`\r\n- `jsonRootPath = \"data\"` → wrapping object: `{\"data\": [{...}, {...}]}`\r\n- `jsonRootPath = \"response.records\"` → deeply nested: `{\"response\": {\"records\": [{...}]}}`\r\n\r\n**InputReaderFactory**\r\n\r\n- Instantiated per entity load\r\n- `getReader(EntityConfig cfg)` → returns `CsvReader` if `inputFileFormat = \"csv\"`, `JsonReader` if `\"json\"`\r\n- `LoadEngine` calls this factory instead of directly instantiating `CsvReader`\r\n\r\n---\r\n\r\n#### Dot-Notation Flattening Rules\r\n\r\n`JsonReader` walks each JSON record recursively and produces a flat `Map<String, String>` with dot-notation keys:\r\n\r\n| JSON structure | Flattened key | Flattened value |\r\n|---|---|---|\r\n| `{\"name\": \"Alice\"}` | `name` | `Alice` |\r\n| `{\"profile\": {\"firstName\": \"Alice\"}}` | `profile.firstName` | `Alice` |\r\n| `{\"address\": {\"city\": \"Blr\", \"pin\": \"560001\"}}` | `address.city`, `address.pin` | `Blr`, `560001` |\r\n| `{\"contacts\": [{\"phone\": \"9999\"}]}` | `contacts.0.phone` | `9999` |\r\n| `{\"tags\": [\"a\", \"b\"]}` | `tags.0`, `tags.1` | `a`, `b` |\r\n| `{\"isActive\": true}` | `isActive` | `\"true\"` (coerced to String) |\r\n| `{\"score\": 42}` | `score` | `\"42\"` (coerced to String) |\r\n| `{\"dob\": null}` | `dob` | `null` |\r\n\r\n**Rules:**\r\n- All leaf values are converted to `String` (same as CSV raw values); `TypeCoercer` handles the final type conversion\r\n- `null` JSON values → `null` in `rawMap` (same as `emptyAsNull` behavior in CSV)\r\n- Arrays are indexed by position (`0`, `1`, ...)\r\n- Nested objects are recursed; dot (`.`) is the separator\r\n- Non-leaf arrays containing objects are recursed: `contacts.0.phone`, `contacts.1.phone`\r\n- `boolean` → `\"true\"` / `\"false\"` (case-insensitive `BOOLEAN` coercion already handles this)\r\n- Numbers → `String.valueOf(...)` (no precision loss for integers; floating point uses `Double.toString(...)`)\r\n- Keys present in the JSON but not referenced by any `FieldConfig.sourceField` are silently ignored (same as extra CSV columns)\r\n\r\n---\r\n\r\n#### `sourceField` with Dot Notation\r\n\r\n`FieldConfig.sourceField` for JSON entities is the dot-notation path into the flattened record map:\r\n\r\n```json\r\n{ \"sourceField\": \"profile.firstName\", \"targetField\": \"firstName\", \"dataType\": \"STRING\", \"role\": \"DATA\" }\r\n{ \"sourceField\": \"address.city\",      \"targetField\": \"city\",      \"dataType\": \"STRING\", \"role\": \"DATA\" }\r\n{ \"sourceField\": \"contacts.0.phone\",  \"targetField\": \"primaryPhone\", \"dataType\": \"STRING\", \"role\": \"DATA\" }\r\n{ \"sourceField\": \"customerId\",        \"targetField\": \"customerId\", \"dataType\": \"STRING\", \"role\": \"BUSINESS_KEY\" }\r\n```\r\n\r\nFor FK `lookupFields`, `csvField` is also a dot-notation path referencing the same flattened record:\r\n\r\n```json\r\n\"lookupFields\": [\r\n    { \"csvField\": \"industry.code\", \"parentField\": \"industryCode\" }\r\n]\r\n```\r\n\r\n---\r\n\r\n#### File discovery and ordering\r\n\r\nSame rules as CSV:\r\n- glob matching against `inputDir`\r\n- lexicographic sort, lastModified as tiebreaker\r\n- No files matched → entity skipped or error per missing-file policy\r\n\r\n---\r\n\r\n#### Row number contract\r\n\r\n- `rowNumber` starts at `1` (no header row in JSON)\r\n- Corresponds to array index + 1 within the resolved records array\r\n\r\n---\r\n\r\n#### File-level errors (JSON)\r\n\r\nFail the file (and entity) if:\r\n- File not readable / permissions\r\n- File is not valid JSON (cannot parse)\r\n- Resolved `jsonRootPath` does not exist in the document\r\n- Target at `jsonRootPath` is not a JSON array (e.g., it resolves to an object, string, or number)\r\n- JSON array contains non-object elements (e.g., strings or numbers directly in the array)\r\n\r\n---\r\n\r\n#### Interfaces\r\n\r\n**JsonFileResolver**\r\n- `List<Path> resolveFiles(EntityConfig cfg, Path inputDir)`\r\n\r\n**JsonReader**\r\n- `Iterator<RowContext> read(Path jsonFile, EntityConfig cfg)`\r\n\r\n**InputReaderFactory**\r\n- `FileReader getReader(EntityConfig cfg)` → `CsvReader | JsonReader`\r\n\r\nWhere `FileReader` is a shared interface implemented by both:\r\n- `Iterator<RowContext> read(Path file, EntityConfig cfg)`\r\n\r\n---\r\n\r\n#### Pseudocode (behavioral)\r\n\r\n```text\r\nresolve files by pattern (JsonFileResolver — same logic as CsvFileResolver)\r\nif none -> error (or skip as policy)\r\n\r\nfor each file:\r\n  parse JSON document (Jackson ObjectMapper)\r\n  if parse fails -> record file error; if failFast -> abort job\r\n\r\n  navigate to jsonRootPath (if set):\r\n    split path by \".\", traverse node by node\r\n    if any segment not found or not a container -> record file error; if failFast -> abort\r\n\r\n  verify resolved node is a JSON array -> if not -> file error\r\n\r\n  for each element in array (0-indexed):\r\n    if element is not a JSON object -> row error: JSON_RECORD_NOT_OBJECT; skip row\r\n    flatten element recursively into Map<String, String> using dot-notation keys\r\n    yield RowContext(rowNumber = index+1, rawMap = flatMap, sourceFile, entityName)\r\n\r\n  on unexpected exception:\r\n    record file error; if failFast -> abort job\r\n```\r\n\r\n---\r\n\r\n### Field Mapping, Type Coercion, Defaults\r\n\r\nThis section defines how a RowContext.rawMap (String→String) is transformed into a typed, target-ready row: RowContext.normalized (String→Object) using EntityConfig.fields[].\r\n\r\nIt is shared by both RDBMS and MongoDB CSV and JSON loads.\r\n\r\n#### Responsibilities\r\nRowMapper\r\n\r\nFor each row:\r\n- Resolve source value for each configured field (sourceField)\r\n- Apply defaulting rules (config default / generator default later)\r\n- Validate mandatory constraints\r\n- Convert to target datatype (dataType)\r\n- Store into normalized using targetField as key\r\n\r\nFK resolution and generated fields execution are separate steps, but RowMapper prepares enough structure for them.\r\n\r\n#### Mapping contract\r\n\r\n**Input**\r\n- EntityConfig.fields[]\r\n- RowContext.rawMap\r\n- module-level policies:\r\n    - trimWhitespace (already applied in CSV)\r\n    - emptyAsNull (already applied in CSV)\r\n    - strictSchema (header validation already handled in previous section)\r\n\r\n**Output**\r\n- RowContext.normalized: Map<String,Object>\r\n- RowContext.errors[] (row-level)\r\n- A row is considered eligible for write only if errors empty.\r\n\r\n#### Field iteration order\r\nRecommended order:\r\n- BUSINESS_KEY\r\n- DATA\r\n- FOREIGN_KEY (still mapped as string/typed input; actual FK lookup later)\r\n- GENERATED (value generation later; but can pre-fill DEFAULT strategy here if you want)\r\n\r\nReason: business keys are needed early for duplicate detection and FK lookups.\r\n\r\n#### Defaulting and mandatory rules\r\nFor each FieldConfig f:\r\n\r\n**Step A — Read source value**\r\n\r\n- raw = rawMap.get(f.sourceField)\r\n    - if column missing: treat as null (but this might already be flagged in strict header validation)\r\n\r\n**Step B — Apply field-level defaultValue**\r\n\r\n- If raw == null and f.defaultValue is non-empty (or explicitly present):\r\n    - set raw = f.defaultValue\r\n\r\n**Step C — Mandatory validation**\r\n- If after defaulting raw == null and f.isMandatory == true:\r\n    - add RowError(code=\"MANDATORY_MISSING\", field=f.sourceField, message=...)\r\n\r\n**Step D — Type conversion**\r\n- If raw != null:\r\n    - convert based on f.dataType → Object\r\n- if conversion fails:\r\n    - add RowError(code=\"TYPE_CONVERSION_FAILED\", field=f.sourceField, value=raw, ...)\r\n\r\n**Step E — Populate normalized map**\r\n- If no error for this field:\r\n    - normalized.put(f.targetField, typedValue)\r\n\r\n#### Type coercion rules (canonical)\r\nDefine a single coercer: TypeCoercer.coerce(String raw, DataType dt).\r\n\r\n- STRING: return raw as-is (already trimmed)\r\n- INTEGER: Integer.parseInt(raw)\r\n- LONG: Long.parseLong(raw)\r\n- DOUBLE: Double.parseDouble(raw)\r\n- BOOLEAN: case-insensitive match \"true\"/\"false\"\r\n- DATE: parse as localdate \"yyyy-MM-dd\"\r\n- TIMESTAMP: parse as \"yyyy-MM-dd HH:mm:ss\"\r\n- On parse failure: throw TypeConversionException with details\r\n\r\n#### Role-based mapping constraints\r\n**BUSINESS_KEY**\r\n\r\n- Must exist in uniqueFields OR at least a subset\r\n- If a configured field has role BUSINESS_KEY but not in uniqueFields:\r\n    - allow but warn (or strict fail). Recommended: warn.\r\n\r\n**FOREIGN_KEY**\r\n\r\n- Source value is mapped and type-coerced the same way as DATA\r\n- FK lookup happens later; RowMapper only prepares:\r\n    - normalized[targetField] = typedRawValue (or keep raw under sourceField)\r\n- Store the input lookup value under reference.lookupField’s target mapping (usually same as source).\r\n- Later, FK resolver writes to reference.targetFkField.\r\n\r\n**GENERATED**\r\n- RowMapper behavior:\r\n    - If generationStrategy.strategy=DEFAULT:\r\n        - can be resolved here (since it’s static)\r\n    - For UUID/SEQUENCE/CUSTOM:\r\n        - defer to generator stage\r\n\r\n#### Field name matching policy\r\n- CSV headers may not match Java field names exactly (case, underscores).\r\n- Matching is done case-insensitively by default.\r\n\r\n#### Row error model (standard)\r\nRowError fields:\r\n- code (ENUM/string)\r\n- field (optional)\r\n- message\r\n- value (optional)\r\n- sourceFile\r\n- rowNumber\r\n\r\nStandard codes introduced in this section:\r\n- MANDATORY_MISSING\r\n- TYPE_CONVERSION_FAILED\r\n- FK_INPUT_MISSING (if FK source missing but mandatory)\r\n- UNEXPECTED_NULL_AFTER_DEFAULT\r\n\r\n\r\n### Generation Strategies (DEFAULT / UUID / SEQUENCE / CUSTOM)\r\n\r\n#### Responsibilities\r\n**ValueGenerationEngine**\r\nFor each row + entity:\r\n\r\n- Evaluate all FieldConfig where role = GENERATED\r\n- Produce values based on generationStrategy.strategy\r\n- Populate RowContext.normalized[targetField]\r\n\r\n#### Strategies\r\n**DEFAULT**\r\n- Use generationStrategy.defaultValue\r\n\r\nBehavior:\r\n\r\n- Parse defaultValue into the field’s declared dataType\r\n    - boolean true/false\r\n    - numbers\r\n    - strings\r\n    - date/timestamp optional\r\n- If defaultValue missing → config validation error.\r\n\r\n**UUID**\r\n- Generate a UUID string:\r\n    - UUID.randomUUID().toString()\r\n\r\n**SEQUENCE**\r\n- This is applicable when target is RDBMS and you want a numeric surrogate key stored in the entity.\r\n\r\n- PK is auto-generated by DB and should not be in CSV/config. So use SEQUENCE only for:\r\n    - non-PK generated numbers (receipt number, reference number)\r\n    - internal business sequence codes\r\n- **Current implementation**: In-memory counter initialized from `startValue` config. Value increments by `incrementBy` for each row.\r\n\r\n> **Implementation Pending**: DB sequence fetch — querying `max(targetField)` from the entity table to seed the counter is not yet implemented. Currently the counter always starts from `startValue` regardless of existing data.\r\n\r\nBehavior:\r\n- On first invocation for an entity: initialize counter to `startValue`\r\n- For each row: `current += incrementBy`; `normalized.put(targetField, current)`\r\n- Validates: `startValue >= 0`, `incrementBy > 0`\r\n\r\n**CUSTOM**\r\n- Generate a custom string based on prefix, suffix, random alphanumeric of specified length.\r\n- Goal: generate a string like BRN-<random>-2026 or similar.\r\n- Generation template: value = prefix + randomPart + suffix\r\n    - Where:\r\n    - prefix default \"\"\r\n    - suffix default \"\"\r\n    - randomPart:\r\n        - if randomLength present: generate alphanumeric uppercase of that length using SecureRandom\r\n        - else: empty (still allowed, but then it's constant → bad idea)\r\n- Random generator policy:\r\n    - Use SecureRandom only.\r\n    - Character set: [A-Z0-9] by default.\r\n\r\n**Uniqueness**\r\n\r\nCUSTOM generator does not guarantee uniqueness unless:\r\n- randomLength is sufficiently high AND collisions are handled\r\n\r\n> **Implementation Pending**: Collision retry — retrying generation up to maxRetries on duplicate detection is not yet implemented. The error code `CUSTOM_GENERATION_COLLISION` is defined but not triggered. If a generated value collides with an existing unique key, it will fail at the upsert stage with a generic `UPSERT_FAILED` error.\r\n\r\nRow error codes:\r\n- CUSTOM_GENERATION_COLLISION (defined, not yet triggered)\r\n- UPSERT_FAILED (used as fallback on collision)\r\n\r\n#### Generator interfaces\r\n**ValueGenerator**\r\n- boolean supports(GenerationStrategyType type, TargetType target)\r\n- Object generate(GenerationRequest req)\r\n\r\n**GenerationRequest**\r\n- targetType (RDBMS/MONGO)\r\n- entityName\r\n- fieldConfig\r\n- rowContext (for future: based on other field values)\r\n- dataType\r\n\r\n**ValueGenerationEngine**\r\n- void apply(EntityConfig cfg, RowContext row, LoadJobContext ctx)\r\n\r\n### Incremental Loads, Duplicate Detection, Upsert (RDBMS + Mongo)\r\n\r\n- This section defines how the loader performs incremental loading using uniqueFields for:\r\n    - Duplicate detection\r\n    - Insert vs Update decision\r\n    - Idempotent reruns\r\n\r\nThis applies to both RDBMS and MongoDB targets.\r\n\r\n#### Responsibilities\r\n**BusinessKeyExtractor**\r\n- Build a business key tuple from uniqueFields\r\n- Read values from row context (after mapping + FK resolution rules are satisfied)\r\n\r\n**UpsertService**\r\n- For each validated row:\r\n    - determine existence by business key\r\n    - perform insert or update\r\n    - update metrics\r\n\r\n#### Key Definitions\r\n**Unique Fields**\r\n- EntityConfig.uniqueFields = ordered list of target fields forming the business key\r\n- uniqueFields are in entity field namespace\r\n\r\n**Business key tuple**\r\nTuple: (field1=value1, field2=value2, ...)\r\n\r\n- Must be complete (no nulls) for incremental mode.\r\n- If any component is null:\r\n    - row error: BUSINESS_KEY_MISSING\r\n    - skip row (or fail entity if configured)\r\n\r\n#### Interfaces\r\n\r\n**BusinessKeyExtractor**\r\n- BusinessKey extract(EntityConfig cfg, RowContext row)\r\n\r\nBusinessKey:\r\n- List<String> fields\r\n- List<Object> values\r\n- String hashKey() (stable string form)\r\n\r\n**UpsertService**\r\n- UpsertResult upsert(EntityConfig cfg, RowContext row, LoadJobContext ctx)\r\n\r\nUpsertResult:\r\n- status: INSERTED | UPDATED | UPSERTED | SKIPPED | FAILED\r\n- dbError optional\r\n- generatedId optional (for PK retrieval if needed)\r\n\r\n---\r\n### Target Writers (RDBMS / MongoDB / OSS)\r\n\r\nThis section defines how RowContext.normalized becomes actual writes to:\r\n\r\n- RDBMS via db-client\r\n- MongoDB via dss-client\r\n- Object Store (OSS) via oss-client + optional reference entity write (RDBMS/Mongo)\r\n\r\n- db-client is a framework written to handle multi tenancy and which is similar to the spring data-jpa repository pattern.\r\n- dss-client is a framework written to handle multi tenancy and which is similar to the spring data-mongodb repository pattern.\r\n\r\n### Error Handling and Output Files\r\n\r\n#### Error taxonomy\r\n- Job Level Errors (Fatal)\r\n    - Abort the entire run:\r\n        - Config invalid / cannot parse\r\n        - Dependency cycle detected\r\n        - Input directory missing\r\n        - Execution planning failed\r\n        - Load engine execution failed\r\n    - Job error codes (as implemented):\r\n        - `CONFIG_INVALID` — Configuration validation failed\r\n        - `CONFIG_VALIDATION_FAILED` — Configuration validation failed (alternate)\r\n        - `CYCLIC_DEPENDENCY` — Cyclic dependency detected in entity references\r\n        - `INPUT_DIR_MISSING` — Input directory not found or not accessible\r\n        - `PLANNING_FAILED` — Execution planning failed\r\n        - `LOAD_ENGINE_FAILED` — Load engine execution failed\r\n        - `UNEXPECTED_ERROR` — Unexpected error\r\n- Entity/File Level Errors (Non-fatal)\r\n    - Entity is considered failed; job continues with other entities:\r\n        - No input files matched\r\n        - CSV header invalid (duplicate columns)\r\n        - Mandatory columns missing from file header\r\n        - File unreadable / permissions\r\n        - CSV parse error\r\n    - Entity/File error codes (as implemented):\r\n        - `FILE_NOT_FOUND` — Input file not found\r\n        - `FILE_READ_ERROR` — Error reading input file\r\n        - `HEADER_DUPLICATE` — Duplicate column names in CSV header\r\n        - `HEADER_MISSING_MANDATORY` — Mandatory columns missing from CSV header\r\n        - `CSV_PARSE_ERROR` — Error parsing CSV row structure\r\n        - `JSON_PARSE_ERROR` — File is not valid JSON or cannot be parsed\r\n        - `JSON_INVALID_ROOT_PATH` — `jsonRootPath` does not exist in the document or resolves to a non-array\r\n        - `JSON_READ_ERROR` — Unexpected error reading JSON file\r\n- Row Level Errors (Non-fatal)\r\n    - Row is skipped, written to error file:\r\n        - Mandatory missing\r\n        - Type conversion fail\r\n        - FK parent missing (failOnMissing=true)\r\n        - Business key null or incomplete\r\n        - DB/Mongo/OSS write failure\r\n    - Row error codes (as implemented):\r\n        - `MANDATORY_MISSING` — Mandatory field value is missing\r\n        - `TYPE_CONVERSION_FAILED` — Type conversion failed for field value\r\n        - `FK_INPUT_MISSING` — Foreign key input value is missing\r\n        - `FK_PARENT_NOT_FOUND` — Foreign key parent record not found\r\n        - `FK_LOOKUP_FAILED` — Foreign key lookup operation failed\r\n        - `BUSINESS_KEY_MISSING` — Business key component is null or missing\r\n        - `UNEXPECTED_NULL_AFTER_DEFAULT` — Field is null after applying default value\r\n        - `UPSERT_FAILED` — Upsert operation failed\r\n        - `OSS_UPLOAD_FAILED` — Object store file upload failed\r\n        - `OSS_REF_WRITE_FAILED` — OSS reference entity write failed\r\n        - `CUSTOM_GENERATION_COLLISION` — Custom value generation collision (defined, not yet triggered — see Generation Strategies)\r\n        - `UNKNOWN_ERROR` — Unknown error\r\n        - `JSON_RECORD_NOT_OBJECT` — A JSON array element is not a JSON object and cannot be mapped to a row\r\n\r\n#### Error Object Model\r\n**RowError**\r\n- code: String (ErrorCode enum)\r\n- message: String\r\n- field: String? (sourceField or targetField)\r\n- value: String? (raw value, if safe)\r\n- sourceFile: String\r\n- rowNumber: long\r\n- entityName: String\r\n- stage: String (CSV_READ, MAP, GENERATE, FK, UPSERT, OSS_UPLOAD, REF_WRITE)\r\n\r\n**FileError / EntityError**\r\n- code\r\n- message\r\n- entityName\r\n- sourceFile?\r\n- exceptionClass?\r\n\r\n#### Error output files\r\n**Row error CSV (for RDBMS/Mongo CSV loads)**\r\n\r\nFor each entity + input file:\r\n- `errors/<runId>/<entityName>_<inputFileName>.errors.csv`\r\n  - includes original row fields + extra error columns:\r\n    - `_error_code`\r\n    - `_error_message`\r\n    - `_error_field`\r\n    - `_row_number`\r\n    - `_source_file`\r\n    - `_entity_name`\r\n    - `_error_stage`\r\n\r\n**Entity error summary JSON**\r\n`errors/<runId>/<entityName>/entity-error.json`\r\n```json\r\n{\r\n  \"entityName\": \"SubIndustry\",\r\n  \"status\": \"FAILED\",\r\n  \"errorCode\": \"HEADER_MISSING_MANDATORY\",\r\n  \"message\": \"Missing required columns: uuid\",\r\n  \"files\": [\"SubIndustry_1.csv\"]\r\n}\r\n```\r\n\r\n**Job error summary (JSON)**\r\nPath: `errors/<runId>/job-error.json`\r\n\r\nOnly written when job fails fatally.\r\n```json\r\n{\r\n  \"jobId\": \"20240601-123456-tenantA\",\r\n  \"status\": \"FAILED\",\r\n  \"errorCode\": \"CYCLIC_DEPENDENCY\",\r\n  \"message\": \"Cyclic dependency detected: Industry -> SubIndustry -> Industry\"\r\n}\r\n```\r\n\r\n### Summary Report, Metrics\r\n\r\n#### Summary artifacts (files)\r\nAll outputs are written under:\r\n\r\nsummaryDir/<runId>/...\r\n\r\nRequired artifacts\r\n\r\njob-summary.json\r\n\r\nentities/<entityName>.summary.json (one per entity executed or skipped)\r\n\r\n#### Run identity (runId)\r\n\r\nDefine runId to keep outputs unique:\r\n\r\ndefault: yyyyMMdd_HHmmss_SSS_<tenantId> (in Asia/Kolkata timezone)\r\n\r\nallow CLI override: --runId\r\n\r\nExample:\r\n\r\n20260127_183501_122_TNT001\r\n\r\n#### Job summary JSON schema\r\n```json\r\n{\r\n  \"runId\": \"20260127_183501_122_TNT001\",\r\n  \"tenantId\": \"TNT001\",\r\n  \"status\": \"SUCCESS|PARTIAL_SUCCESS|FAILED\",\r\n  \"startedAt\": \"2026-01-27T18:35:01.122+05:30\",\r\n  \"endedAt\": \"2026-01-27T18:40:32.901+05:30\",\r\n  \"durationMs\": 331779,\r\n\r\n  \"metrics\": {\r\n    \"totalEntities\": 12,\r\n    \"successfulEntities\": 10,\r\n    \"failedEntities\": 1,\r\n    \"totalRecords\": 120345,\r\n    \"successRecords\": 119900,\r\n    \"failedRecords\": 445,\r\n    \"skippedRecords\": 0,\r\n    \"insertedRecords\": 65000,\r\n    \"updatedRecords\": 53000,\r\n    \"successRate\": 99.63,\r\n    \"failureRate\": 0.37,\r\n    \"fkStatistics\": {\r\n      \"resolutionSuccess\": 44988,\r\n      \"resolutionFailure\": 12,\r\n      \"successRate\": 99.97\r\n    }\r\n  },\r\n\r\n  \"entityCount\": 12,\r\n  \"entitySummaries\": [\r\n    { \"entityName\": \"Industry\", \"status\": \"SUCCESS\", \"summaryPath\": \"entities/Industry.summary.json\" },\r\n    { \"entityName\": \"SubIndustry\", \"status\": \"PARTIAL_SUCCESS\", \"summaryPath\": \"entities/SubIndustry.summary.json\" }\r\n  ]\r\n}\r\n```\r\n\r\n> **Implementation Pending**: Per-target-type metric breakdown (`db`, `mongo`, `oss` upsert counts) and `errorBreakdown by code` are not included in the current job summary output.\r\n\r\n> **Implementation Pending**: FK caching metrics (`cacheHits`) are not tracked since FK lookup caching is not yet implemented.\r\n\r\n#### Entity summary JSON schema\r\n`summaryDir/<runId>/entities/<entityName>.summary.json`\r\n\r\n```json\r\n{\r\n  \"entityName\": \"SubIndustry\",\r\n  \"entityType\": \"RDBMS\",\r\n  \"status\": \"PARTIAL_SUCCESS\",\r\n  \"startTime\": 1706369770000,\r\n  \"endTime\": 1706369825000,\r\n  \"durationMs\": 55000,\r\n\r\n  \"metrics\": {\r\n    \"totalRecords\": 3000,\r\n    \"successRecords\": 2950,\r\n    \"failedRecords\": 50,\r\n    \"skippedRecords\": 0,\r\n    \"insertedRecords\": 2000,\r\n    \"updatedRecords\": 950,\r\n    \"successRate\": 98.33,\r\n    \"failureRate\": 1.67,\r\n    \"fkStatistics\": {\r\n      \"resolutionSuccess\": 2940,\r\n      \"resolutionFailure\": 10,\r\n      \"parentNotFound\": 10,\r\n      \"successRate\": 99.66\r\n    }\r\n  },\r\n\r\n  \"inputFiles\": [\"SubIndustry_1.csv\"],\r\n  \"dependencyInfo\": {\r\n    \"parents\": [\"Industry\"],\r\n    \"skippedBecauseParentFailed\": false\r\n  }\r\n}\r\n```\r\n\r\n> **Implementation Pending**: `fk.cacheHits` not included since FK caching is not yet implemented.\r\n\r\n#### File summary\r\n\r\n`summaryDir/<runId>/files/<entityName>/<fileName>.file-summary.json`\r\n\r\n```json\r\n{\r\n  \"runId\": \"20260127_183501_122_TNT001\",\r\n  \"tenantId\": \"TNT001\",\r\n  \"entityName\": \"Industry\",\r\n  \"fileName\": \"Industry_1.csv\",\r\n  \"rowsTotal\": 2,\r\n  \"rowsSucceeded\": 2,\r\n  \"rowsFailed\": 0,\r\n  \"errorsByCode\": {}\r\n}\r\n```\r\n\r\n### CLI (Spring Boot module) + Module-level Configuration Wiring\r\n\r\nThis section defines how data-loader-module runs as a standalone CLI Spring Boot app, how it loads configs, wires clients (db-client, dss-client, oss-client), and invokes the data loading pipeline.\r\n\r\n#### Packaging\r\n\r\n**data-loader-module** (Single Module Architecture)\r\n- Spring Boot command-line runner application\r\n- **No embedded web server** - Tomcat and other web dependencies are excluded:\r\n  ```xml\r\n  <dependency>\r\n      <groupId>org.springframework.boot</groupId>\r\n      <artifactId>spring-boot-starter</artifactId>\r\n      <exclusions>\r\n          <exclusion>\r\n              <groupId>org.springframework.boot</groupId>\r\n              <artifactId>spring-boot-starter-tomcat</artifactId>\r\n          </exclusion>\r\n      </exclusions>\r\n  </dependency>\r\n  ```\r\n- Provides:\r\n    - CLI parser and command-line argument handling\r\n    - Core data loading library (integrated, not separate JAR)\r\n    - Spring configuration for db/dss/oss clients\r\n    - Logging setup\r\n- **External entity loading**:\r\n    - JPA entities and repositories are loaded from external JARs at runtime\r\n    - Uses Spring Boot's loader path mechanism: `-Dloader.path=ext-libs`\r\n    - Allows the same data loader binary to work with different module entities\r\n\r\n#### CLI command contract\r\n\r\n**Required arguments**\r\n\r\n--tenantId=`<TENANT>` (6 chars, starts with letter, uppercase alphanumeric)\r\n\r\n--config=`<path/to/entity-config.json>` (entity configuration JSON for the module)\r\n\r\n--inputDir=`<path>` (source files folder)\r\n\r\n**Optional arguments**\r\n\r\n--runId=`<id>` (default auto-generated: `yyyyMMdd_HHmmss_SSS_<tenantId>`)\r\n\r\n--outputDir=`<path>` (default `${inputDir}/_output`)\r\n\r\n--summaryDir=`<path>` (default `${inputDir}/_summary`)\r\n\r\n--errorDir=`<path>` (default `${inputDir}/_errors`)\r\n\r\n--archiveDir=`<path>` (default `${inputDir}/_archive`)\r\n\r\n--dryRun=true|false (default false — validate and process without persisting to database)\r\n\r\n**Implementation Pending (future arguments):**\r\n\r\n~~--module=`<module-name>`~~ — Not implemented; caller passes module-specific config directly via `--config`\r\n\r\n--missingFilesPolicy=ERROR|SKIP — Not yet implemented\r\n\r\n--failFastJob=true|false — Not yet implemented\r\n\r\n--failFastEntity=true|false — Not yet implemented\r\n\r\n--maxRowErrorsPerEntity=1000 — Not yet implemented\r\n\r\n--skipChildrenIfParentFailed=true|false — Not yet implemented\r\n\r\n--treatRowErrorsAsFailure=true|false — Not yet implemented\r\n\r\n#### Runtime Execution\r\n\r\nThe data loader is executed as a command-line application with external entity JARs:\r\n\r\n```bash\r\njava -Dloader.path=ext-libs \\\r\n     -jar data-loader-module.jar \\\r\n     --tenantId=TENANT001 \\\r\n     --config=/repos/mdm-config/entity-config.json \\\r\n     --inputDir=/repos/tenant001-data/mdm/ \\\r\n     --summaryDir=/output/summary \\\r\n     --errorDir=/output/errors \\\r\n     --archiveDir=/output/archive\r\n```\r\n\r\n**Directory structure for execution:**\r\n```\r\n/app/\r\n├── data-loader-module.jar       # Main application JAR\r\n├── ext-libs/                    # External entity JARs\r\n│   └── mdm-entities.jar         # Module-specific entities\r\n├── repos/\r\n│   ├── mdm-config/              # Config repository (cloned)\r\n│   │   └── entity-config.json\r\n│   └── tenant001-data/          # Tenant data repository (cloned)\r\n│       └── mdm/\r\n│           ├── Industry_1.csv\r\n│           └── SubIndustry_1.csv\r\n└── output/\r\n    ├── summary/\r\n    ├── errors/\r\n    └── archive/\r\n```\r\n\r\n\r\n#### Spring boot entrypoint\r\n- Main class: `DataLoaderApplication` implements `CommandLineRunner` + `ExitCodeGenerator`\r\n- **No web server**: Application runs as CLI only, exits after completion\r\n- Parses CLI args via `CliArgumentParser`\r\n- Loads EntityConfig JSON from config path\r\n- Sets up tenant context via `ContextManager`\r\n- Invokes `DataLoaderService.execute(cliArgs)`\r\n- Prints summary path\r\n- Exit with code:\r\n    - SUCCESS → 0\r\n    - PARTIAL_SUCCESS → 2\r\n    - FAILED → 1\r\n    - VALIDATION_ERROR → 3\r\n\r\n#### External JAR Loading\r\n\r\nThe data loader uses Spring Boot's PropertiesLauncher to load external JARs:\r\n\r\n```bash\r\n# The ext-libs folder contains module-specific entity JARs\r\njava -Dloader.path=ext-libs -jar data-loader-module.jar [args...]\r\n```\r\n\r\n**Benefits:**\r\n- Single data loader binary works with any module\r\n- Module entities can be updated independently\r\n- No recompilation of data loader required when entities change\r\n- Clear separation between loader logic and domain entities\r\n\r\n#### Configuration sources\r\n- CLI args (highest priority)\r\n- Environment variables\r\n- application.properties (embedded in JAR)\r\n- co.properties (external, outside JAR)\r\n\r\nspring-db-client, spring-oss-client, spring-dss-client reads co.properties and loads the required configurations for database, oss and dss connections. They automatically create the required beans for db-client, oss-client and dss-client.\r\n\r\n#### Repository Management\r\n\r\n**Config Repository (per module)**\r\n- One config repository per module (e.g., `mdm-config`, `accounting-config`)\r\n- Contains `entity-config.json` defining all entities for that module\r\n- Shared across all tenants - same configuration applies to all\r\n- Version controlled for audit and rollback capabilities\r\n- Example: `git clone https://git.example.com/mdm-config.git`\r\n\r\n**Tenant Data Repository (per tenant)**\r\n- One data repository per tenant (e.g., `tenant001-data`)\r\n- Contains folders for each module with CSV data files\r\n- Structure: `/<module-name>/*.csv`\r\n- Tenant-specific data isolation\r\n- Example: `git clone https://git.example.com/tenant001-data.git`\r\n\r\n**Typical deployment workflow:**\r\n1. Clone the module config repository\r\n2. Clone the tenant data repository\r\n3. Place module-specific entity JAR in `ext-libs/`\r\n4. Execute data loader with appropriate paths\r\n\r\n\r\n\r\n\r\n### Testing Strategy\r\nWe want high confidence across:\r\n- config validation\r\n- dependency ordering\r\n- CSV reading\r\n- mapping/coercion\r\n- generation\r\n- fk resolution + caching\r\n- upsert behavior\r\n- error outputs and summaries\r\n- CLI wiring\r\n- external JAR loading\r\n\r\n#### Unit Tests\r\n**ConfigValidatorTest**\r\n\r\n- Test all config validation rules (positive + negative cases)\r\n- missing required FK fields → fail\r\n- fkMode=BUSINESS_KEY with selectField present → fail/ignore as per rule\r\n- cyclic dependency detection → fail\r\n- missing parent entity → fail\r\n- GENERATED with missing strategy → fail\r\n- unknown dataType → fail\r\n\r\n**DependencyGraphTest**\r\n\r\n- build graph from sample configs\r\n- detect cycles\r\n- topological sort correctness\r\n- Industry → SubIndustry ordering\r\n- multi-level chain A→B→C\r\n- cycle detection A→B→A\r\n- orphan reference (child references missing parent) → fail\r\n\r\n**CsvReaderTest**\r\n\r\n- parse CSV with/without header\r\n- handle missing columns\r\n- handle extra columns\r\n- handle bad CSV structure\r\n- header parsing, trim, emptyAsNull\r\n- missing mandatory header columns (strict mode)\r\n- duplicate headers\r\n- delimiter handling\r\n\r\n**JsonReaderTest**\r\n\r\n- parse JSON file with root array (`jsonRootPath` empty)\r\n- parse JSON file with nested array via `jsonRootPath = \"data\"`\r\n- parse JSON file with multi-level `jsonRootPath = \"response.records\"`\r\n- dot-notation flattening: nested object, array element by index, multi-level nesting\r\n- null JSON values → null in rawMap\r\n- non-string leaf values (boolean, number) → coerced to String correctly\r\n- invalid JSON file → file error `JSON_PARSE_ERROR`\r\n- `jsonRootPath` missing in document → file error `JSON_INVALID_ROOT_PATH`\r\n- `jsonRootPath` resolves to non-array → file error `JSON_INVALID_ROOT_PATH`\r\n- array element is not a JSON object → row error `JSON_RECORD_NOT_OBJECT`\r\n- extra keys in JSON not in FieldConfig → silently ignored\r\n- row number assigned as array index + 1\r\n\r\n**RowMapperTest**\r\n\r\n- map fields with defaulting\r\n- type coercion success + failure\r\n- mandatory missing\r\n- FK field mapping (just mapping, not lookup)\r\n- mandatory missing\r\n- type conversions: BOOLEAN variants, DATE/TIMESTAMP accepted formats\r\n- DEFAULT applied when missing\r\n- SURROGATE FK handling: verify fkInputs captured, normalized not polluted\r\n\r\n**ValueGenerationEngineTest**\r\n\r\n- DEFAULT strategy boolean/number\r\n- UUID strategy\r\n- SEQUENCE strategy\r\n- CUSTOM strategy + collision handling\r\n- CUSTOM prefix/suffix/randomLength length correctness\r\n- collision retry hook (if implemented)\r\n\r\n**FkResolverEngineTest**\r\n\r\n- Mock FkLookupService:\r\n- BUSINESS_KEY exists/not exists with failOnMissing true/false\r\n- SURROGATE_KEY select returns pk\r\n- caching hit behavior (same lookup doesn’t call service twice)\r\n- missing fk input on mandatory FK\r\n\r\n**UpsertServiceTest**\r\n\r\n- insert new row\r\n- update existing row\r\n- handle duplicate in input\r\n- Mock adapters:\r\n    - RDBMS: emulate on conflict path\r\n    - Mongo: emulate upsertedId\r\n    - verify metrics counts and error codes\r\n\r\n**ErrorHandlingTest**\r\n\r\n- row error capture\r\n- file error capture\r\n- job error capture\r\n- ensure error csv has correct header order + metadata fields\r\n- summary json contains correct rollups\r\n\r\n#### Integration Tests\r\nUse Testcontainers (recommended) or embedded alternatives:\r\n- Postgres container\r\n- Mongo container (or test Mongo)\r\n- OSS: mock with local filesystem adapter (or MinIO container)\r\n- External JAR loading with test entity JARs\r\n\r\n**Integration scenario 1: Industry/SubIndustry**\r\n- load Industry_1.csv then SubIndustry_1.csv\r\n- verify:\r\n    - parent inserted\r\n    - child inserted with BUSINESS_KEY FK mode\r\n    - rerun idempotent (no duplicates)\r\n\r\n**Integration scenario 2: SURROGATE FK mode**\r\n- parent has surrogate pk\r\n- child stores parent pk\r\n- verify FK resolver fetch + write.\r\n\r\n**Integration scenario 3: Error cases**\r\n- missing parent key\r\n- invalid date\r\n- ensure error file generated + summary shows counts\r\n\r\n**Integration scenario 4: OSS + reference update**\r\n- upload 2 docs and insert KycDocuments rows\r\n- verify documentId stored\r\n- simulate reference write failure and ensure error output includes uploadedId\r\n\r\n**Integration scenario 5: External JAR Loading**\r\n- load entities from `-Dloader.path=ext-libs`\r\n- verify repository beans are available\r\n- verify entity classes are loadable\r\n- test with multiple module JARs\r\n\r\n#### Test Data Layout\r\nIn module test resources:\r\n\r\n```\r\n/testdata/\r\n  /config/                        # Simulates config repository\r\n    /mdm/\r\n      entity-config.json\r\n    /accounting/\r\n      entity-config.json\r\n  /tenant-data/                   # Simulates tenant data repository\r\n    /mdm/\r\n      Industry_1.csv\r\n      SubIndustry_1.csv\r\n    /accounting/\r\n      ChartOfAccounts_1.csv\r\n  /ext-libs/                      # Test entity JARs\r\n    mdm-entities.jar\r\n```\r\n\r\nIntegration test asserts outputs under temp folder:\r\n- summary runId folder exists\r\n- error files created when expected\r\n- external entity classes loaded correctly\r\n\r\n","filename":"\\06. DataLoader.md","format":"Markdown","order":6,"title":""},{"content":"## Indexing for master-management-module tables\r\n\r\nThis document lists table-wise index requirements derived from repository `WHERE` clause analysis across all JPA repositories in `master-management-module`. Each entry maps to one or more query patterns and shows whether the index already exists in the Liquibase changesets.\r\n\r\n**Legend**\r\n- **Done** — Index or unique constraint already present in a Liquibase DDL changeset\r\n- **Pending** — No `createIndex` or equivalent unique constraint found in any changeset\r\n\r\n### Tables\r\n\r\n|Table Name|Indexing Documentation Status|\r\n|---|---|\r\n| master_data_management | Pending |\r\n| mst_action | Pending |\r\n| mst_action_category | Pending |\r\n| mst_action_feedback_map | Pending |\r\n| mst_activity_details | Pending |\r\n| mst_activity_group | Pending |\r\n| mst_approval_config | Pending |\r\n| mst_asset_class | Pending |\r\n| mst_asset_creator | Pending |\r\n| mst_asset_sub_type | Pending |\r\n| mst_asset_type | Pending |\r\n| mst_bank | Pending |\r\n| mst_bank_branch | Pending |\r\n| mst_bounce_reason | Pending |\r\n| mst_branch | Pending |\r\n| mst_branch_product | Pending |\r\n| mst_bre | Pending |\r\n| mst_bureau_account_type | Pending |\r\n| mst_company | Pending |\r\n| mst_company_category | Pending |\r\n| mst_currency | Pending |\r\n| mst_dealer_vehicle_make | Pending |\r\n| mst_document_checklist_detail | Pending |\r\n| mst_document_checklist_header | Pending |\r\n| mst_document_group | Done |\r\n| mst_document_group_mapping | Pending |\r\n| mst_document_set | Done |\r\n| mst_document_type | Pending |\r\n| mst_eligibility_program | Pending |\r\n| mst_eligibility_program_statement | Pending |\r\n| mst_event_reason | Pending |\r\n| mst_feedback | Pending |\r\n| mst_feedback_category | Pending |\r\n| mst_fees | Pending |\r\n| mst_fees_ruleset | Pending |\r\n| mst_fees_tax | Pending |\r\n| mst_geocategory | Pending |\r\n| mst_geocodes | Pending |\r\n| mst_govt_scheme | Pending |\r\n| mst_industry | Pending |\r\n| mst_interest_rate_index | Pending |\r\n| mst_lending_purpose | Pending |\r\n| mst_loan_assetclassification | Pending |\r\n| mst_loan_assetclassification_provision | Pending |\r\n| mst_loan_assetclassification_provision_header | Pending |\r\n| mst_lookupcategory | Pending |\r\n| mst_lookupcode | Pending |\r\n| mst_mainparty | Pending |\r\n| mst_mainparty_bank | Pending |\r\n| mst_mainparty_type | Pending |\r\n| mst_mandate_batch_config | Pending |\r\n| mst_mandate_provider_config | Pending |\r\n| mst_org | Pending |\r\n| mst_payment_appropriation | Pending |\r\n| mst_payment_appropriation_header | Pending |\r\n| mst_payment_component | Pending |\r\n| mst_pre_approved_property | Pending |\r\n| mst_pricing_details | Pending |\r\n| mst_pricing_details_header | Pending |\r\n| mst_product_amort_controls | Done |\r\n| mst_product_eligibility_program | Pending |\r\n| mst_product_income_rule | Pending |\r\n| mst_product_policy | Pending |\r\n| mst_product_program_income | Pending |\r\n| mst_product_setup | Pending |\r\n| mst_product_setup_assets | Pending |\r\n| mst_product_setup_bank_purpose | Done |\r\n| mst_product_setup_branches | Done |\r\n| mst_product_setup_collateral | Pending |\r\n| mst_product_setup_config | Done |\r\n| mst_product_setup_cycles | Pending |\r\n| mst_product_setup_cycles_header | Pending |\r\n| mst_product_setup_fees | Done |\r\n| mst_product_setup_pa_mapping | Pending |\r\n| mst_product_setup_rates | Done |\r\n| mst_product_setup_template_mapping | Pending |\r\n| mst_product_statement | Pending |\r\n| mst_product_type | Done |\r\n| mst_productsetup_bucket_config | Pending |\r\n| mst_productsetup_bucket_config_details | Pending |\r\n| mst_project_authority_board | Pending |\r\n| mst_promise_policy | Done |\r\n| mst_psl_category | Pending |\r\n| mst_psl_code | Pending |\r\n| mst_psl_code_subcode | Pending |\r\n| mst_question_response_code | Pending |\r\n| mst_question_response_options | Pending |\r\n| mst_questionnaire | Pending |\r\n| mst_questionnaire_question_mapping | Pending |\r\n| mst_questions | Pending |\r\n| mst_restr_writeoff_config | Pending |\r\n| mst_restr_writeoff_config_header | Pending |\r\n| mst_sales_promotion | Pending |\r\n| mst_soa_config | Pending |\r\n| mst_statement | Pending |\r\n| mst_statement_fields | Done |\r\n| mst_sub_industry | Pending |\r\n| mst_sys_function | Pending |\r\n| mst_tax | Pending |\r\n| mst_tenant_bank | Pending |\r\n| mst_token_narration_config | Pending |\r\n| mst_tokens | Pending |\r\n| mst_transactions | Pending |\r\n| mst_verification_display | Pending |\r\n| mst_verification_questionnaires | Pending |\r\n| mst_verifications | Pending |\r\n\r\n---\r\n\r\n### master_data_management\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| master_data_management | table_code | Non-unique | `findByTableCode`, staging queries filter on table_code | Pending |\r\n| master_data_management | status | Non-unique | `findByStatus`, `findByStatusAndTableCode` | Pending |\r\n| master_data_management | status, table_code | Composite | `findByStatusAndTableCode` — combined filter | Pending |\r\n\r\n---\r\n\r\n### mst_action\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_action | action_category_code, is_active | Composite | `findByActionCategoryCode`, WHERE actionCategoryCode + isActive | Pending |\r\n| mst_action | action_code, is_active | Composite | `findByActionCode`, WHERE actionCode + isActive | Pending |\r\n| mst_action | action_category_uuid, is_active | Composite | WHERE actionCategoryUuid + isActive | Pending |\r\n| mst_action | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_action_category\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_action_category | action_category_code | Non-unique | `findByActionCategoryCode` | Pending |\r\n| mst_action_category | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_action_feedback_map\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_action_feedback_map | action_uuid, is_active | Composite | WHERE actionUuid + isActive | Pending |\r\n| mst_action_feedback_map | action_code, is_active | Composite | WHERE actionCode + isActive | Pending |\r\n| mst_action_feedback_map | feedback_code, is_active | Composite | WHERE feedbackCode + isActive | Pending |\r\n| mst_action_feedback_map | uuid, is_active | Composite | WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_activity_details\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_activity_details | activity_code | Non-unique | `findByActivityCode`, WHERE activityCode | Pending |\r\n| mst_activity_details | activity_group_id, is_active | Composite | `findByActivityGroupId`, WHERE activityGroupId + isActive | Pending |\r\n| mst_activity_details | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_activity_group\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_activity_group | activity_group_code | Non-unique | `findByActivityGroupCode` | Pending |\r\n| mst_activity_group | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_approval_config\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_approval_config | transaction_type | Non-unique | `findByTransactionType`, WHERE transactionType | Pending |\r\n| mst_approval_config | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_asset_class\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_asset_class | asset_category_lcode, asset_class_code | Unique | Existing — `uq_mst_asset_class` | Done |\r\n| mst_asset_class | asset_class_code, is_active | Composite | `findByAssetClassCode`, WHERE assetClassCode + isActive | Pending |\r\n| mst_asset_class | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_asset_creator\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_asset_creator | asset_creator_code, is_active | Composite | `findByAssetCreatorCode`, WHERE assetCreatorCode + isActive | Pending |\r\n| mst_asset_creator | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_asset_sub_type\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_asset_sub_type | asset_sub_type_code, is_active | Composite | `findByAssetSubTypeCode`, WHERE assetSubTypeCode + isActive | Pending |\r\n| mst_asset_sub_type | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_asset_type\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_asset_type | asset_type_code, is_active | Composite | `findByAssetTypeCode`, WHERE assetTypeCode + isActive | Pending |\r\n| mst_asset_type | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_bank\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_bank | bank_code | Non-unique | `findByBankCode`, WHERE bankCode | Pending |\r\n| mst_bank | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_bank_branch\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_bank_branch | bank_code, bank_branch_code | Unique | Existing — `uq_mst_bank_branch` | Done |\r\n| mst_bank_branch | bank_branch_code | Non-unique | `findByBankBranchCode`, lookup by branch code alone | Pending |\r\n| mst_bank_branch | bank_code, is_active | Composite | `findByBankCode`, WHERE bankCode + isActive | Pending |\r\n| mst_bank_branch | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_bounce_reason\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_bounce_reason | bounce_reason_code | Non-unique | `findByBounceReasonCode`, WHERE bounceReasonCode | Pending |\r\n| mst_bounce_reason | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_branch\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_branch | branch_code | Non-unique | `findByBranchCode`, WHERE branchCode | Pending |\r\n| mst_branch | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_branch_product\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_branch_product | branch_code, is_active | Composite | `findByBranchProductCode`, WHERE branchCode + isActive | Pending |\r\n| mst_branch_product | product_setup_code, is_active | Composite | `findByProductSetupCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_branch_product | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_bre\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_bre | rule_set_code, is_active | Composite | `findByRuleSetCode`, WHERE ruleSetCode + isActive | Pending |\r\n| mst_bre | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_bureau_account_type\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_bureau_account_type | account_type_code, is_active | Composite | `findByAccountTypeCode`, WHERE accountTypeCode + isActive | Pending |\r\n| mst_bureau_account_type | account_type_category, is_active | Composite | `findByParentCodeAndIsActive`, WHERE accountTypeCategory + isActive | Pending |\r\n| mst_bureau_account_type | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_company\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_company | company_code, is_active | Composite | `findByCompanyCode`, WHERE companyCode + isActive | Pending |\r\n| mst_company | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_company_category\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_company_category | company_category_code, is_active | Composite | `findByCompanyCategoryCode`, WHERE companyCategoryCode + isActive | Pending |\r\n| mst_company_category | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_currency\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_currency | currency_code, is_active | Composite | `findByCurrencyCode`, WHERE currencyCode + isActive | Pending |\r\n| mst_currency | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_dealer_vehicle_make\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_dealer_vehicle_make | asset_creator_code, is_active | Composite | `findByCode`, WHERE assetCreatorCode + isActive (parent FK filter) | Pending |\r\n| mst_dealer_vehicle_make | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_document_checklist_detail\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_document_checklist_detail | checklist_id, is_active | Composite | `findByChecklistId`, WHERE checklistId + isActive | Pending |\r\n| mst_document_checklist_detail | checklist_id, document_type_code, is_active | Composite | `findByChecklistIdAndDocumentTypeCode`, WHERE checklistId + documentTypeCode + isActive | Pending |\r\n| mst_document_checklist_detail | document_type_code, is_active | Composite | `findByDocumentTypeCode`, WHERE documentTypeCode + isActive | Pending |\r\n| mst_document_checklist_detail | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_document_checklist_header\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_document_checklist_header | document_group_code, is_active | Composite | `findByDocumentCode`, WHERE documentGroupCode + isActive | Pending |\r\n| mst_document_checklist_header | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_document_group\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_document_group | document_group_code | Unique | Existing — `uq_mst_document_group_code`; covers `findByDocumentGroupCode` | Done |\r\n| mst_document_group | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_document_group_mapping\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_document_group_mapping | document_group_code, is_active | Composite | `findByDocumentGroupCode`, COUNT and MAX queries on documentGroupCode + isActive | Pending |\r\n| mst_document_group_mapping | document_type_code, is_active | Composite | WHERE documentTypeCode + isActive | Pending |\r\n| mst_document_group_mapping | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_document_set\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_document_set | document_set_lcode | Unique | Existing — `uq_mst_document_set_lcode`; covers `findBydocumentSetCode` | Done |\r\n| mst_document_set | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_document_type\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_document_type | document_type_code, is_active | Composite | `findBydocumentTypeCode`, WHERE documentTypeCode + isActive | Pending |\r\n| mst_document_type | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_eligibility_program\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_eligibility_program | eligibility_program_code, is_active | Composite | `findByEligibilityProgramCode`, WHERE eligibilityProgramCode + isActive | Pending |\r\n| mst_eligibility_program | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_eligibility_program_statement\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_eligibility_program_statement | statement_code, is_active | Composite | `findByStatementCode`, WHERE statementCode + isActive | Pending |\r\n| mst_eligibility_program_statement | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_event_reason\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_event_reason | event_code, is_active | Composite | `findByParentCodeAndIsActive`, WHERE eventCode + isActive | Pending |\r\n| mst_event_reason | reason_code | Non-unique | `findByEventReasonCode`, WHERE reasonCode | Pending |\r\n| mst_event_reason | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_feedback\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_feedback | feedback_category_code, is_active | Composite | `findByFeedbackCategoryCode`, WHERE feedbackCategoryCode + isActive | Pending |\r\n| mst_feedback | feedback_code, is_active | Composite | `findByFeedbackCode`, WHERE feedbackCode + isActive | Pending |\r\n| mst_feedback | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_feedback_category\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_feedback_category | feedback_category_code | Non-unique | `findByFeedbackCategoryCode`, WHERE feedbackCategoryCode | Pending |\r\n| mst_feedback_category | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_fees\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_fees | fee_code | Non-unique | `findByFeeCode`, WHERE feeCode | Pending |\r\n| mst_fees | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_fees_ruleset\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_fees_ruleset | fee_code, fee_code_method_lcode | Unique | Existing — `uq_mst_fees_ruleset` | Done |\r\n| mst_fees_ruleset | fee_code, effective_from, is_active | Composite | `findByFeeCodeAndEffectiveFrom`, WHERE feeCode + effectiveFrom + isActive | Pending |\r\n| mst_fees_ruleset | fee_uuid, is_active | Composite | WHERE feeUuid + isActive | Pending |\r\n| mst_fees_ruleset | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_fees_tax\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_fees_tax | fee_code, is_active | Composite | `findByFeeCode`, WHERE feeCode + isActive | Pending |\r\n| mst_fees_tax | fee_uuid, is_active | Composite | `findByParentFeeId`, WHERE feeUuid + isActive | Pending |\r\n| mst_fees_tax | tax_code, is_active | Composite | `findByTaxCode`, WHERE taxCode + isActive | Pending |\r\n| mst_fees_tax | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_geocategory\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_geocategory | geo_location_code, is_active | Composite | `findByCode`, WHERE geoLocationCode + isActive | Pending |\r\n| mst_geocategory | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_geocodes\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_geocodes | geo_location_code, is_active | Composite | `findByCode`, WHERE geoLocationCode + isActive | Pending |\r\n| mst_geocodes | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_govt_scheme\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_govt_scheme | product_setup_code, product_setup_type, govt_scheme_code | Unique | Existing — `uq_mst_govt_scheme` | Done |\r\n| mst_govt_scheme | govt_scheme_code | Non-unique | `findByGovernmentSchemeCode`, WHERE govtSchemeCode | Pending |\r\n| mst_govt_scheme | product_setup_code, is_active | Composite | `findByProductSetupCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_govt_scheme | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_industry\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_industry | industry_code | Non-unique | `findByCode`, WHERE industryCode | Pending |\r\n| mst_industry | industry_code, effective_from | Composite | `findByIndustryCodeAndEffectiveDate`, WHERE industryCode + effectiveFrom | Pending |\r\n| mst_industry | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_interest_rate_index\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_interest_rate_index | index_rate_code, is_active | Composite | `findByCode`, WHERE indexRateCode + isActive | Pending |\r\n| mst_interest_rate_index | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_lending_purpose\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_lending_purpose | lending_purpose_code | Non-unique | `findByLendingPurposeCode`, WHERE lendingPurposeCode | Pending |\r\n| mst_lending_purpose | product_setup_code | Non-unique | `findByProductSetupCode`, WHERE productSetupCode | Pending |\r\n| mst_lending_purpose | product_type_code, product_setup_code, is_active | Composite | `findByProductTypeCodeAndProductSetupCode`, composite filter | Pending |\r\n| mst_lending_purpose | product_type_code, product_setup_code, lending_purpose_code, is_active | Composite | `findByProductTypeCodeAndProductSetupCodeAndLendingPurposeCode` | Pending |\r\n| mst_lending_purpose | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_loan_assetclassification\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_loan_assetclassification | loan_asset_classification_code, is_active | Composite | `findByCode`, WHERE loanAssetClassificationCode + isActive | Pending |\r\n| mst_loan_assetclassification | asset_classification_level, is_active | Composite | `findByAssetClassificationLevel`, WHERE assetClassificationLevel + isActive | Pending |\r\n| mst_loan_assetclassification | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_loan_assetclassification_provision\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_loan_assetclassification_provision | product_setup_code, is_active | Composite | `findByCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_loan_assetclassification_provision | product_setup_code, product_setup_type, is_active | Composite | `findByProductSetupCodeAndProductTypeCode`, composite filter | Pending |\r\n| mst_loan_assetclassification_provision | classification_header_id, is_active | Composite | `findByHeaderId`, WHERE classificationHeaderId + isActive | Pending |\r\n| mst_loan_assetclassification_provision | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_loan_assetclassification_provision_header\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_loan_assetclassification_provision_header | product_setup_code, is_active | Composite | `findByCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_loan_assetclassification_provision_header | product_setup_code, product_setup_type, is_active | Composite | `findByProductSetupCodeAndProductTypeCode`, composite filter | Pending |\r\n| mst_loan_assetclassification_provision_header | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_lookupcategory\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_lookupcategory | lookup_category_name, is_active | Composite | `findByCode`, WHERE lookupCategoryName + isActive | Pending |\r\n| mst_lookupcategory | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_lookupcode\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_lookupcode | lookup_code | Non-unique | `findByLookupCode`, WHERE lookupCode | Pending |\r\n| mst_lookupcode | category_id, is_active | Composite | `findByCategoryId`, WHERE categoryId + isActive; also MAX(sequence) aggregate | Pending |\r\n| mst_lookupcode | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_mainparty\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_mainparty | main_party_code, is_active | Composite | `findByMainPartyCode`, WHERE mainPartyCode + isActive | Pending |\r\n| mst_mainparty | main_party_type_code, is_active | Composite | `findByParentCodeAndIsActive`, WHERE mainPartyTypeCode + isActive | Pending |\r\n| mst_mainparty | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_mainparty_bank\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_mainparty_bank | bank_code | Non-unique | `findByMainPartyBankCode`, WHERE bankCode | Pending |\r\n| mst_mainparty_bank | mainparty_code, is_active | Composite | MAX(mainpartyBankSrNo) aggregate filter on mainpartyCode + isActive | Pending |\r\n| mst_mainparty_bank | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_mainparty_type\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_mainparty_type | mainparty_type_code, is_active | Composite | `findByCode`, WHERE mainpartyTypeCode + isActive | Pending |\r\n| mst_mainparty_type | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_mandate_batch_config\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_mandate_batch_config | tenant_code | Non-unique | `findByTenantCode`, WHERE tenantCode | Pending |\r\n| mst_mandate_batch_config | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_mandate_provider_config\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_mandate_provider_config | partner_code | Non-unique | `findByPartnerCode`, WHERE partnerCode | Pending |\r\n| mst_mandate_provider_config | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_org\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_org | organisation_code, is_active | Composite | `findByCode`, WHERE organisationCode + isActive | Pending |\r\n| mst_org | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_payment_appropriation\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_payment_appropriation | payment_appropriation_code, payment_component_code, payment_appropriation_header_key | Unique | Existing — `uk_payment_appropriation_component` | Done |\r\n| mst_payment_appropriation | payment_appropriation_code, is_active | Composite | `findByPaymentAppropriationCode`, WHERE paymentAppropriationCode + isActive | Pending |\r\n| mst_payment_appropriation | payment_appropriation_header_id, is_active | Composite | `findByPaymentAppropriationHeaderId`, WHERE headerKey + isActive | Pending |\r\n| mst_payment_appropriation | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_payment_appropriation_header\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_payment_appropriation_header | payment_appropriation_code, is_active | Composite | `findByPaymentAppropriationCode`, WHERE paymentAppropriationCode + isActive | Pending |\r\n| mst_payment_appropriation_header | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_payment_component\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_payment_component | payment_component_code, is_active | Composite | `findByPaymentComponentCode`, WHERE paymentComponentCode + isActive; also MAX aggregate | Pending |\r\n| mst_payment_component | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_pre_approved_property\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_pre_approved_property | mainparty_code, is_active | Composite | `findByParentCodeAndIsActive`, WHERE mainpartyCode + isActive | Pending |\r\n| mst_pre_approved_property | property_project_code | Non-unique | `findByPropertyProjectCode`, WHERE propertyProjectCode | Pending |\r\n| mst_pre_approved_property | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_pricing_details\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_pricing_details | rate_code | Non-unique | `findByPricingCode`, WHERE rateCode | Pending |\r\n| mst_pricing_details | rate_code, rate_type_lcode, is_active | Composite | `findByRateCodeAndRateType`, WHERE rateCode + rateTypeLcode + isActive | Pending |\r\n| mst_pricing_details | pricing_details_header_id, is_active | Composite | `findByHeaderId`, WHERE pricingDetailsHeaderId + isActive | Pending |\r\n| mst_pricing_details | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_pricing_details_header\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_pricing_details_header | rate_code, is_active | Composite | `findByRateCode`, WHERE rateCode + isActive | Pending |\r\n| mst_pricing_details_header | rate_code, rate_type_lcode, is_active | Composite | `findByRateCodeAndRateType`, WHERE rateCode + rateTypeLcode + isActive | Pending |\r\n| mst_pricing_details_header | effective_from, is_active | Composite | `findByEffectiveFrom`, WHERE effectiveFrom + isActive | Pending |\r\n| mst_pricing_details_header | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_product_amort_controls\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_product_amort_controls | product_setup_code, product_type_code | Unique | Existing — `uq_product_amort_controls`; covers `findByProductTypeCodeAndProductSetupCode` | Done |\r\n| mst_product_amort_controls | product_setup_code, is_active | Composite | `findByProductSetupCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_product_amort_controls | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_product_eligibility_program\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_product_eligibility_program | product_eligibility_program_code, is_active | Composite | `findByProductEligibilityProgramCode`, WHERE code + isActive | Pending |\r\n| mst_product_eligibility_program | product_eligibility_program_id, is_active | Composite | `findByProductEligibilityProgramId`, WHERE id + isActive | Pending |\r\n| mst_product_eligibility_program | product_setup_code, is_active | Composite | `findByProductSetupCode`, WHERE productSetupCode + isActive; also MAX aggregate | Pending |\r\n| mst_product_eligibility_program | product_type_code, product_setup_code, is_active | Composite | `findByProductTypeCodeAndProductSetupCode`, composite filter | Pending |\r\n| mst_product_eligibility_program | product_type_code, product_setup_code, product_eligibility_program_code, is_active | Composite | `findByProductTypeCodeAndProductSetupCodeAndProductEligibilityProgramCode` | Pending |\r\n| mst_product_eligibility_program | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_product_income_rule\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_product_income_rule | income_parameter_code, is_active | Composite | `findByIncomeParameterCode`, WHERE incomeParameterCode + isActive | Pending |\r\n| mst_product_income_rule | product_setup_code, is_active | Composite | `findByProductSetupCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_product_income_rule | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_product_policy\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_product_policy | policy_code, is_active | Composite | `findByPolicyCode`, WHERE policyCode + isActive | Pending |\r\n| mst_product_policy | product_setup_code, is_active | Composite | `findByproductSetupCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_product_policy | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_product_program_income\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_product_program_income | eligibility_program_code, is_active | Composite | `findByEligibilityProgramCode`, WHERE eligibilityProgramCode + isActive | Pending |\r\n| mst_product_program_income | product_program_income_key, is_active | Composite | `findByProductProgramIncomeKey`, WHERE productProgramIncomeKey + isActive | Pending |\r\n| mst_product_program_income | product_setup_code, is_active | Composite | `findByProductSetupCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_product_program_income | product_type_code, is_active | Composite | `findByProductTypeCode`, WHERE productTypeCode + isActive | Pending |\r\n| mst_product_program_income | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_product_setup\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_product_setup | product_type_code, product_setup_code | Unique | Existing — `uq_product_setup_code`; covers composite lookup | Done |\r\n| mst_product_setup | product_setup_code | Non-unique | `findByProductSetupCode`, WHERE productSetupCode | Pending |\r\n| mst_product_setup | parent_product_setup, is_active | Composite | `findByParentProductSetupCode`, WHERE parentProductSetup + isActive | Pending |\r\n| mst_product_setup | product_type_code, is_active | Composite | `findByProductTypeCode`, WHERE productTypeCode + isActive | Pending |\r\n| mst_product_setup | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_product_setup_assets\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_product_setup_assets | product_setup_code, is_active | Composite | `findByProductSetupCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_product_setup_assets | product_type_code, product_setup_code | Composite | `findByProductTypeCodeAndProductSetupCode` | Pending |\r\n| mst_product_setup_assets | product_type_code, product_setup_code, asset_class_code | Composite | `findByProductTypeCodeAndProductSetupCodeAndAssetClassCode` | Pending |\r\n| mst_product_setup_assets | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_product_setup_bank_purpose\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_product_setup_bank_purpose | product_setup_code, product_type_code, bank_purpose_lcode | Unique | Existing — `uq_product_setup_bank_purpose`; covers `findByProductTypeCodeAndProductSetupCodeAndBankPurposeLcode` | Done |\r\n| mst_product_setup_bank_purpose | product_setup_code, is_active | Composite | `findByProductSetupCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_product_setup_bank_purpose | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_product_setup_branches\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_product_setup_branches | product_setup_code, product_type_code, branch_code | Unique | Existing — `uq_product_setup_branches`; covers `findByBranchCodeAndProductTypeCodeAndProductSetupCode` | Done |\r\n| mst_product_setup_branches | product_setup_code, is_active | Composite | `findByProductSetUpCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_product_setup_branches | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_product_setup_collateral\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_product_setup_collateral | product_setup_code, is_active | Composite | `findByProductSetupCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_product_setup_collateral | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_product_setup_config\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_product_setup_config | product_setup_code, product_type_code | Unique | Existing — `uq_product_setup_config`; covers `findByProductTypeCodeAndProductSetupCode` | Done |\r\n| mst_product_setup_config | product_setup_code, is_active | Composite | `findByProductSetUpCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_product_setup_config | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_product_setup_cycles\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_product_setup_cycles | product_setup_code, is_active | Composite | `findByProductSetupCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_product_setup_cycles | product_setup_cycles_header_id, is_active | Composite | `findByHeaderId`, WHERE productSetupCyclesHeaderId + isActive | Pending |\r\n| mst_product_setup_cycles | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_product_setup_cycles_header\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_product_setup_cycles_header | product_setup_code, is_active | Composite | `findByProductSetupCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_product_setup_cycles_header | product_setup_code, product_setup_type, is_active | Composite | `findByProductSetupCodeAndProductTypeCode`, WHERE productSetupCode + productSetupType + isActive | Pending |\r\n| mst_product_setup_cycles_header | product_setup_code, product_setup_type, cycle_date_type_lcode, is_active | Composite | `findByProductSetupCodeAndProductTypeCodeAndCycleDateLCode`, 3-column composite filter | Pending |\r\n| mst_product_setup_cycles_header | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_product_setup_fees\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_product_setup_fees | product_type_code, product_setup_code, fee_code | Unique | Existing — `uq_product_setup_fees`; covers `findByProductTypeCodeAndProductSetupCodeAndFeeCode` | Done |\r\n| mst_product_setup_fees | product_setup_code, is_active | Composite | `findByProductSetUpCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_product_setup_fees | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_product_setup_pa_mapping\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_product_setup_pa_mapping | payment_appropriation_code, is_active | Composite | `findByCode`, WHERE paymentAppropriationCode + isActive | Pending |\r\n| mst_product_setup_pa_mapping | product_setup_code, is_active | Composite | `findByProductSetupCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_product_setup_pa_mapping | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_product_setup_rates\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_product_setup_rates | product_type_code, product_setup_code, rate_code | Unique | Existing — `uq_product_setup_rates`; covers `findByProductTypeCodeAndProductSetupCodeAndRateCode` | Done |\r\n| mst_product_setup_rates | product_setup_code, is_active | Composite | `findByCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_product_setup_rates | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_product_setup_template_mapping\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_product_setup_template_mapping | product_setup_code | Non-unique | `findByProductSetupCode`, WHERE productSetupCode | Pending |\r\n| mst_product_setup_template_mapping | mapping_id, is_active | Composite | `findByMappingId`, WHERE mappingId + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_product_statement\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_product_statement | product_setup_code, is_active | Composite | `findByCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_product_statement | product_setup_type, product_setup_code, is_active | Composite | `findByProductSetupTypeAndProductSetupCode`, composite filter | Pending |\r\n| mst_product_statement | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_product_type\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_product_type | product_type_code | Unique | Existing — `uq_mst_product_type_code`; covers `findByProductTypeCode` | Done |\r\n| mst_product_type | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_productsetup_bucket_config\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_productsetup_bucket_config | bucket_config_id | Unique | Existing — `uq_bucket_config_id` | Done |\r\n| mst_productsetup_bucket_config | product_code | Non-unique | `findByProductCode`, WHERE productCode | Pending |\r\n\r\n---\r\n\r\n### mst_productsetup_bucket_config_details\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_productsetup_bucket_config_details | bucket_config | Non-unique | `findByBucketConfigKey`, WHERE bucketConfig (FK to bucket_config_id) | Pending |\r\n| mst_productsetup_bucket_config_details | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_project_authority_board\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_project_authority_board | state_code, is_active | Composite | `findByParentCodeAndIsActive`, WHERE stateCode + isActive | Pending |\r\n| mst_project_authority_board | project_authority_board, is_active | Composite | `findByProjectAuthorityBoardCode`, WHERE projectAuthorityBoard + isActive | Pending |\r\n| mst_project_authority_board | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_promise_policy\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_promise_policy | promise_policy_code | Unique | Existing — `uq_promise_policy_code`; covers `findByPolicyCode` | Done |\r\n| mst_promise_policy | promise_policy_id, is_active | Composite | `findByPromisePolicyId`, WHERE promisePolicyId + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_psl_category\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_psl_category | psl_category_code, is_active | Composite | `findByPslCategoryCode`, WHERE pslCategoryCode + isActive | Pending |\r\n| mst_psl_category | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_psl_code\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_psl_code | psl_code, is_active | Composite | `findByCode`, WHERE pslCode + isActive | Pending |\r\n| mst_psl_code | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_psl_code_subcode\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_psl_code_subcode | psl_code, is_active | Composite | `findByParentCodeAndIsActive`, WHERE pslCode + isActive | Pending |\r\n| mst_psl_code_subcode | psl_subcode | Non-unique | `findByCode`, WHERE pslSubcode | Pending |\r\n| mst_psl_code_subcode | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_question_response_code\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_question_response_code | response_code_key, is_active | Composite | `findByResponseCodeKey`, WHERE responseCodeKey + isActive | Pending |\r\n| mst_question_response_code | response_code_name | Non-unique | `findByResponseCodeName`, WHERE responseCodeName | Pending |\r\n| mst_question_response_code | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_question_response_options\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_question_response_options | response_code_key, is_active | Composite | `findByResponseCodeKey`, WHERE responseCodeKey + isActive; ordered query | Pending |\r\n| mst_question_response_options | response_code_key, option_code, is_active | Composite | `findByResponseCodeKeyAndOptionCode` | Pending |\r\n| mst_question_response_options | option_code | Non-unique | `findByOptionCode`, WHERE optionCode | Pending |\r\n| mst_question_response_options | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_questionnaire\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_questionnaire | questionnaire_code, is_active | Composite | `findByCode`, WHERE questionnaireCode + isActive | Pending |\r\n| mst_questionnaire | questionnaire_code | Non-unique | `findByQuestionnaireCode` without isActive filter | Pending |\r\n| mst_questionnaire | questionnaire_id | Non-unique | `findByQuestionnareId`, WHERE questionnaireId | Pending |\r\n| mst_questionnaire | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_questionnaire_question_mapping\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_questionnaire_question_mapping | questionnaire_id, is_active | Composite | `findByQuestionnaireId`, WHERE questionnaireId + isActive; MAX(questionSrno) aggregate | Pending |\r\n| mst_questionnaire_question_mapping | questionnaire_id, question_id, is_active | Composite | `findByQuestionnaireIdAndQuestionId`, 3-column filter | Pending |\r\n| mst_questionnaire_question_mapping | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_questions\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_questions | question_code, is_active | Composite | `findByQuestionCode`, WHERE questionCode + isActive; MAX(questionSeqno) aggregate | Pending |\r\n| mst_questions | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_restr_writeoff_config\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_restr_writeoff_config | tenant_code, product_setup_code, product_setup_type, payment_code, restr_writeoff_config_header_key | Unique | Existing — `uq_writeoff_config` | Done |\r\n| mst_restr_writeoff_config | product_setup_code, is_active | Composite | `findByProductSetupCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_restr_writeoff_config | product_setup_code, product_setup_type, is_active | Composite | `findByProductSetupCodeAndType`, composite filter | Pending |\r\n| mst_restr_writeoff_config | restr_writeoff_config_header_id, is_active | Composite | `findByHeaderId`, WHERE restrWriteoffConfigHeaderId + isActive | Pending |\r\n| mst_restr_writeoff_config | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_restr_writeoff_config_header\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_restr_writeoff_config_header | restr_writeoff_config_code, is_active | Composite | `findByConfigCode`, WHERE restrWriteoffConfigCode + isActive | Pending |\r\n| mst_restr_writeoff_config_header | product_setup_code, is_active | Composite | `findByProductSetupCode`, WHERE productSetupCode + isActive | Pending |\r\n| mst_restr_writeoff_config_header | product_setup_code, product_setup_type, is_active | Composite | `findByProductSetupCodeAndProductTypeCode`, composite filter | Pending |\r\n| mst_restr_writeoff_config_header | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_sales_promotion\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_sales_promotion | sales_promotion_code, is_active | Composite | `findBySalesPromotionCode`, WHERE salesPromotionCode + isActive | Pending |\r\n| mst_sales_promotion | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_soa_config\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_soa_config | event_type_lcode, is_active | Composite | `findByCode`, WHERE eventTypeLcode + isActive | Pending |\r\n| mst_soa_config | event_type_lcode, effective_from, is_active | Composite | `findByEventTypeLCodeAndEffectiveDate`, WHERE eventTypeLcode + effectiveFrom + isActive | Pending |\r\n| mst_soa_config | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_statement\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_statement | statement_code | Non-unique | `findByCode`, WHERE statementCode | Pending |\r\n| mst_statement | statement_code, effective_from | Composite | `findByStatementCodeAndEffectiveDate`, WHERE statementCode + effectiveFrom | Pending |\r\n| mst_statement | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_statement_fields\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_statement_fields | statement_code, statement_field_code | Unique | Existing — `uq_mst_statement_fields`; covers composite lookup and MAX(statementFieldSeqNo) aggregate | Done |\r\n| mst_statement_fields | statement_field_code, is_active | Composite | `findByCode`, WHERE statementFieldCode + isActive | Pending |\r\n| mst_statement_fields | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_sub_industry\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_sub_industry | industry_code, is_active | Composite | `findByParentCodeAndIsActive`, WHERE industryCode + isActive | Pending |\r\n| mst_sub_industry | sub_industry_code, is_active | Composite | `findByCode`, WHERE subIndustryCode + isActive | Pending |\r\n| mst_sub_industry | sub_industry_code, effective_from | Composite | `findBySubIndustryCodeAndEffectiveDate`, WHERE subIndustryCode + effectiveFrom | Pending |\r\n| mst_sub_industry | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_sys_function\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_sys_function | code, is_active | Composite | `findByCode`, WHERE code + isActive | Pending |\r\n| mst_sys_function | code, effective_from | Composite | `findBySystemFunctionCodeAndEffectiveDate`, WHERE code + effectiveFrom | Pending |\r\n| mst_sys_function | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_tax\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_tax | tax_code, is_active | Composite | `findByTaxCode`, WHERE taxCode + isActive | Pending |\r\n| mst_tax | tax_code, effective_from | Composite | `findByTaxCodeAndEffectiveDate`, WHERE taxCode + effectiveFrom | Pending |\r\n| mst_tax | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_tenant_bank\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_tenant_bank | bank_code | Non-unique | `findByCode`, WHERE bankCode | Pending |\r\n| mst_tenant_bank | bank_code, effective_from | Composite | `findByCodeAndEffectiveDate`, WHERE bankCode + effectiveFrom | Pending |\r\n| mst_tenant_bank | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_token_narration_config\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_token_narration_config | token_code | Non-unique | `findByCode`, WHERE tokenCode | Pending |\r\n| mst_token_narration_config | token_code, effective_from | Composite | `findByCodeAndEffectiveDate`, WHERE tokenCode + effectiveFrom | Pending |\r\n| mst_token_narration_config | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_tokens\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_tokens | token_code | Non-unique | `findByCode`, WHERE tokenCode | Pending |\r\n| mst_tokens | token_code, effective_from | Composite | `findByCodeAndEffectiveDate`, WHERE tokenCode + effectiveFrom | Pending |\r\n| mst_tokens | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_transactions\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_transactions | transaction_type | Non-unique | `findByTransactionType`, WHERE transactionType | Pending |\r\n| mst_transactions | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_verification_display\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_verification_display | verification_id, is_active | Composite | `findByVerificationEntityId`, WHERE verificationId + isActive; MAX(displaySrNo) and MAX(seq) aggregates | Pending |\r\n| mst_verification_display | verification_id, display_sr_no, is_active | Composite | WHERE verificationId + displaySrno + isActive | Pending |\r\n| mst_verification_display | code | Non-unique | `findByCode`, WHERE code | Pending |\r\n| mst_verification_display | uuid, is_active | Composite | `findByUuid`, WHERE uuid + isActive | Pending |\r\n\r\n---\r\n\r\n### mst_verification_questionnaires\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_verification_questionnaires | verification_id, is_active | Composite | `findByVerificationId`, WHERE verificationId + isActive | Pending |\r\n| mst_verification_questionnaires | questionnaire_id, is_active | Composite | `findByQuestionnaireId`, WHERE questionnaireId + isActive | Pending |\r\n| mst_verification_questionnaires | verification_id, questionnaire_id, is_active | Composite | `findByVerificationIdAndQuestionnaireId`, 3-column filter | Pending |\r\n| mst_verification_questionnaires | code | Non-unique | `findByCode`, WHERE code | Pending |\r\n| mst_verification_questionnaires | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |\r\n\r\n---\r\n\r\n### mst_verifications\r\n\r\n| Table Name | Columns (comma separated) | Type of Index | Reason / Query Pattern | Status |\r\n|---|---|---|---|---|\r\n| mst_verifications | code, is_active | Composite | `findByCode`, WHERE code + isActive | Pending |\r\n| mst_verifications | product_setup_code, is_active | Composite | WHERE productSetupCode + isActive; MAX(typeSrNo) aggregate | Pending |\r\n| mst_verifications | uuid | Non-unique | `findByUuid`, WHERE uuid | Pending |","filename":"\\07.Indexing.md","format":"Markdown","order":7,"title":""},{"content":"## LMS DB Migration entities\r\n\r\n### Entity List\r\nThis section will list down entities for which we going to generate config and csv files and which will be used to import data into Rahi platform. \r\n\r\n#### LMS Module entity List\r\n\r\n| # | Table Name |DB Migration Required or not |\r\n|---|-----------|---------------|\r\n| 1 | `agreement` | yes|\r\n| 2 | `agreement_customers` | yes|\r\n| 3 | `agreement_customers_contacts` | yes|\r\n| 4 | `agreement_customers_address` | yes|\r\n| 5 | `agreement_references` | yes|\r\n| 6 | `loan_account` | yes|\r\n| 7 | `loan_account_controls` | yes|\r\n| 8 | `loan_account_assets` | yes|\r\n| 9 | `loan_account_balloons` | yes|\r\n| 10 | `loan_account_mandates` | yes|\r\n| 11 | `loan_account_morats` | yes|\r\n| 12 | `loan_account_advinstalls` | yes|\r\n| 13 | `loan_account_product_setup_codes` | yes|\r\n| 14 | `loan_account_rates` | yes|\r\n| 15 | `loan_account_steps` | yes|\r\n| 16 | `loan_amort_controls` | yes|\r\n| 17 | `loan_account_assets_vehicle` | yes|\r\n| 18 | `loan_account_assets_property` | yes|\r\n| 19 | `loan_account_assets_mainparty` | yes|\r\n| 20 | `loan_account_fee_definitions` | yes|\r\n| 21 | `loan_account_fee_rulesets` | yes|\r\n| 22 | `loan_account_fee_tax_definitions` | yes|\r\n| 23 | `loan_account_statements` | no** |\r\n| 24 | `loan_account_vouchers` | yes |\r\n| 25 | `loan_account_disbursement_schedule` | yes|\r\n| 26 | `loan_account_disbursement_beneficiaries` | yes|\r\n| 27 | `loan_account_disbursement_payments` | yes|\r\n| 28 | `loan_account_disb_fees` | yes**(not in use) |\r\n| 29 | `loan_account_disb_fees_tax` | yes**(not in use) |\r\n| 30 | `loan_cdevent_header` | yes|\r\n| 31 | `loan_amort_schedule` | yes|\r\n| 32 | `loan_repay_schedule` | yes|\r\n| 33 | `bpi_adjustments` | yes|\r\n| 34 | `loan_account_dues` | yes|\r\n| 35 | `loan_account_events` | yes** |\r\n| 36 | `loan_account_events_transactions` | yes** |\r\n| 37 | `loan_account_events_transactions_components` | yes** |\r\n| 38 | `loanaccount_penal` | yes |\r\n| 39 | `loan_interest_accrual` | no |\r\n| 40 | `loan_cdevent_balloons_requests` | no |\r\n| 41 | `loan_cdevent_morat_requests` | no |\r\n| 42 | `loan_cdevent_step_requests` | no |\r\n| 43 | `loan_cdevent_rate_requests` | no |\r\n| 44 | `loan_cdevent_newterms` | yes |\r\n| 45 | `loan_cdevent_settlement` | yes |\r\n| 46 | `loan_cdevent_instrument` | yes |\r\n| 47 | `loan_cdevent_transaction_details` | yes |\r\n| 48 | `loan_account_provisioning` | yes |\r\n| 49 | `loan_account_penal_components_summary` | yes |\r\n| 50 | `loan_account_fees` | yes |\r\n| 51 | `loan_account_fees_components` | yes |\r\n| 52 | `loan_account_fees_payments` | yes |\r\n| 53 | `loan_account_penal_payments` | yes |\r\n| 54 | `loan_amort_payments` | yes |\r\n| 55 | `loan_account_payment_appropriation_txn` | no |\r\n| 56 | `loan_account_excesspool_txn` | yes |\r\n| 57 | `loan_account_penal_log` | yes |\r\n| 58 | `loan_account_predisb_charges` | yes |\r\n| 59 | `loan_account_predisb_payments` | yes |\r\n| 60 | `bizdate_daily_run_summary` | no |\r\n| 61 | `bizdate_account_execution_summary` | no |\r\n| 62 | `bizdate_account_execution_log` | no |\r\n| 63 | `loan_account_accrual_adjustments` | no** |\r\n| 64 | `loan_account_classifications_npa` | yes |\r\n| 65 | `customer_loan_accounts` | yes |\r\n| 66 | `loan_account_summary` | yes |\r\n| 67 | `loan_account_transaction_approvals` | no |\r\n| 68 | `loan_excess_refund_payments` | yes |\r\n| 69 | `loan_disbursement_interest_refunds` | no |\r\n| 70 | `loan_cdevent_voucher_requests` | no |\r\n| 71 | `bureau_file_records` | no |\r\n| 72 | `cibil_bureau_staging` | no |\r\n| 73 | `loan_account_dpd_daily` | yes |\r\n| 74 | `loan_account_dpd_monthly` | yes |\r\n| 75 | `loan_account_security_instruments` | yes | \r\n\r\n#### Customer Module entity List\r\n| # | Table Name |DB Migration Required or not |\r\n|---|-----------|---------------|\r\n| 1 | `customer` | yes|\r\n| 2 | `customer_individual` | yes|\r\n| 3 | `customer_entity` | yes|\r\n| 4 | `customer_identity` | yes|\r\n| 5 | `customer_contacts` | yes|\r\n| 6 | `customer_address` | yes|\r\n\r\n#### Accounting Module entity List\r\n| # | Table Name |DB Migration Required or not |\r\n|---|-----------|---------------|\r\n| 1 | `mst_coa_accounts` | yes|\r\n| 2 | `mst_gl` | yes|\r\n| 3 | `mst_token_config` | yes|\r\n\r\n#### Master Module entity List\r\n| # | Table Name |DB Migration Required or not |\r\n|---|-----------|---------------|\r\n| 1 | `master_data_management` | no |\r\n| 2 | `master_data_management_audit` | no |\r\n| 3 | `mst_action` | yes |\r\n| 4 | `mst_action_category` | yes |\r\n| 5 | `mst_action_feedback_map` | yes |\r\n| 6 | `mst_activity_details` | yes |\r\n| 7 | `mst_activity_group` | yes |\r\n| 8 | `mst_approval_config` | yes |\r\n| 9 | `mst_asset_class` | yes |\r\n| 10 | `mst_asset_creator` | yes |\r\n| 11 | `mst_asset_sub_type` | yes |\r\n| 12 | `mst_asset_type` | yes |\r\n| 13 | `mst_bank` | yes |\r\n| 14 | `mst_bank_branch` | yes |\r\n| 15 | `mst_bounce_reason` | yes |\r\n| 16 | `mst_branch` | yes |\r\n| 17 | `mst_branch_product` | yes |\r\n| 18 | `mst_bre` | yes |\r\n| 19 | `mst_bureau_account_type` | yes |\r\n| 20 | `mst_company` | yes |\r\n| 21 | `mst_company_category` | yes |\r\n| 22 | `mst_currency` | yes |\r\n| 23 | `mst_dealer_vehicle_make` | yes |\r\n| 24 | `mst_document_checklist_detail` | yes |\r\n| 25 | `mst_document_checklist_header` | yes |\r\n| 26 | `mst_document_group` | yes |\r\n| 27 | `mst_document_group_mapping` | yes |\r\n| 28 | `mst_document_set` | yes |\r\n| 29 | `mst_document_type` | yes |\r\n| 30 | `mst_eligibility_program` | yes |\r\n| 31 | `mst_eligibility_program_statement` | yes |\r\n| 32 | `mst_event_reason` | yes |\r\n| 33 | `mst_feedback` | yes |\r\n| 34 | `mst_feedback_category` | yes |\r\n| 35 | `mst_fees` | yes |\r\n| 36 | `mst_fees_ruleset` | yes |\r\n| 37 | `mst_fees_tax` | yes |\r\n| 38 | `mst_geocategory` | yes |\r\n| 39 | `mst_geocodes` | yes |\r\n| 40 | `mst_govt_scheme` | yes |\r\n| 41 | `mst_industry` | yes |\r\n| 42 | `mst_interest_rate_index` | yes |\r\n| 43 | `mst_lending_purpose` | yes |\r\n| 44 | `mst_loan_assetclassification` | yes |\r\n| 45 | `mst_loan_assetclassification_provision` | yes |\r\n| 46 | `mst_loan_assetclassification_provision_header` | yes |\r\n| 47 | `mst_lookupcategory` | yes |\r\n| 48 | `mst_lookupcode` | yes |\r\n| 49 | `mst_mainparty` | yes |\r\n| 50 | `mst_mainparty_bank` | yes |\r\n| 51 | `mst_mainparty_type` | yes |\r\n| 52 | `mst_mandate_batch_config` | yes |\r\n| 53 | `mst_mandate_provider_config` | yes |\r\n| 54 | `mst_org` | yes |\r\n| 55 | `mst_payment_appropriation` | yes |\r\n| 56 | `mst_payment_appropriation_header` | yes |\r\n| 57 | `mst_payment_component` | yes |\r\n| 58 | `mst_pre_approved_property` | yes |\r\n| 59 | `mst_pricing_details` | yes |\r\n| 60 | `mst_pricing_details_header` | yes |\r\n| 61 | `mst_product_amort_controls` | yes |\r\n| 62 | `mst_product_eligibility_program` | yes |\r\n| 63 | `mst_product_income_rule` | yes |\r\n| 64 | `mst_product_policy` | yes |\r\n| 65 | `mst_product_program_income` | yes |\r\n| 66 | `mst_product_setup` | yes |\r\n| 67 | `mst_product_setup_assets` | yes |\r\n| 68 | `mst_product_setup_bank_purpose` | yes |\r\n| 69 | `mst_product_setup_branches` | yes |\r\n| 70 | `mst_product_setup_collateral` | yes |\r\n| 71 | `mst_product_setup_config` | yes |\r\n| 72 | `mst_product_setup_cycles` | yes |\r\n| 73 | `mst_product_setup_cycles_header` | yes |\r\n| 74 | `mst_product_setup_fees` | yes |\r\n| 75 | `mst_product_setup_pa_mapping` | yes |\r\n| 76 | `mst_product_setup_rates` | yes |\r\n| 77 | `mst_product_setup_template_mapping` | yes |\r\n| 78 | `mst_product_statement` | yes |\r\n| 79 | `mst_product_type` | yes |\r\n| 80 | `mst_productsetup_bucket_config` | yes |\r\n| 81 | `mst_productsetup_bucket_config_details` | yes |\r\n| 82 | `mst_project_authority_board` | yes |\r\n| 83 | `mst_promise_policy` | yes |\r\n| 84 | `mst_psl_category` | yes |\r\n| 85 | `mst_psl_code` | yes |\r\n| 86 | `mst_psl_code_subcode` | yes |\r\n| 87 | `mst_question_response_code` | yes |\r\n| 88 | `mst_question_response_options` | yes |\r\n| 89 | `mst_questionnaire` | yes |\r\n| 90 | `mst_questionnaire_question_mapping` | yes |\r\n| 91 | `mst_questions` | yes |\r\n| 92 | `mst_restr_writeoff_config` | yes |\r\n| 93 | `mst_restr_writeoff_config_header` | yes |\r\n| 94 | `mst_sales_promotion` | yes |\r\n| 95 | `mst_soa_config` | yes |\r\n| 96 | `mst_statement` | yes |\r\n| 97 | `mst_statement_fields` | yes |\r\n| 98 | `mst_sub_industry` | yes |\r\n| 99 | `mst_sys_function` | yes |\r\n| 100 | `mst_tax` | yes |\r\n| 101 | `mst_tenant_bank` | yes |\r\n| 102 | `mst_token_narration_config` | yes |\r\n| 103 | `mst_tokens` | yes |\r\n| 104 | `mst_transactions` | yes |\r\n| 105 | `mst_verification_display` | yes |\r\n| 106 | `mst_verification_questionnaires` | yes |\r\n| 107 | `mst_verifications` | yes |\r\n\r\n#### Communication Module entity List\r\n| # | Table Name |DB Migration Required or not |\r\n|---|-----------|---------------|\r\n| 1 | `notification_channel` | yes|\r\n| 2 | `notification_subscription` | yes|\r\n| 3 | `notification_template` | yes|\r\n| 4 | `notification_type` | yes|\r\n\r\n#### Organization Module entity List\r\n| # | Table Name |DB Migration Required or not |\r\n|---|-----------|---------------|\r\n| 1 | `tenant_business_dates` | yes|\r\n| 2 | `tenant_business_dates_audit` | no|\r\n| 3 | `tenant_configuration` | yes|\r\n\r\n#### Payment Module entity List\r\n| # | Table Name |DB Migration Required or not |\r\n|---|-----------|---------------|\r\n| 1 | `merchants` | yes|\r\n| 2 | `payment_gateways` | yes|\r\n\r\n\r\n#### Users Module entity List\r\n| # | Table Name |DB Migration Required or not |\r\n|---|-----------|---------------|\r\n| 1 | `partners` | yes|\r\n| 2 | `partner_functions` | yes|\r\n| 3 | `partner_bank_details` | yes|\r\n| 4 | `profile` | yes|\r\n| 5 | `profile_menus` | yes|\r\n| 6 | `profile_accessconfig` | yes|\r\n| 7 | `profile_roles` | yes|\r\n| 8 | `user_functions` | yes|\r\n| 9 | `user_profiles` | yes|\r\n| 10 | `users` | yes|\r\n\r\n\r\n#### Config Module entity List\r\n| # | Table Name |DB Migration Required or not |\r\n|---|-----------|---------------|\r\n| 1 | `integration_providers` | yes|\r\n| 2 | `maker_checker` | yes|\r\n| 3 | `mdm_config` | yes|\r\n\r\n","filename":"\\08.LmsMigration.md","format":"Markdown","order":8,"title":""},{"content":"## Master Data Caching — Shared Library Design\r\n\r\n### Context & Goals\r\n\r\n**Problem:** `master-client` is consumed by multiple backend services to fetch master data from the MDM microservice (`master-management-module`). Every call results in a REST round-trip, even though master data changes infrequently. Meanwhile, `master-management-module` — the data owner — has no mechanism to proactively push fresh data into cache when it creates, updates, or deletes records.\r\n\r\n**Goal:** Create a **shared caching library** (`master-cache-commons`) that:\r\n1. Provides a **common read/write interface** consumed by both `master-client` and `master-management-module`.\r\n2. Gives `master-management-module` **write + evict control** over the cache — it populates the cache **on-demand during GET API calls** (cache-aside) and **evicts on publish** to prevent stale data.\r\n3. Gives `master-client` **read-only access** — it reads from cache and falls back to REST on miss, but never writes to cache itself.\r\n4. Eliminates REST calls from the master service to itself (the MDM module can read its own cache directly instead of calling its own REST API internally).\r\n\r\n**Key Principle:** The data owner (`master-management-module`) controls cache lifecycle. It populates cache lazily on reads and evicts on writes. Consumers (`master-client`) only read.\r\n\r\n**Constraints:**\r\n- Cache must be **tenant-aware** (handled by `ContextAwareCacheObjectStore`).\r\n- `MasterClient` interface remains unchanged — caching is transparent to consumers.\r\n- The shared library must be **Spring-independent** (built on `cache-client`, not `spring-cache-client`) so it can be used in any context. Spring wiring happens in each consuming module.\r\n- Only v2 code in `master-management-module` is in scope.\r\n\r\n---\r\n\r\n### Architecture Overview\r\n\r\n```\r\n┌──────────────────────────────────────────────────────────────────────────┐\r\n│                        master-cache-commons (NEW LIB)                    │\r\n│                                                                          │\r\n│  ┌─────────────────────┐  ┌──────────────┐  ┌────────────────────────┐  │\r\n│  │ MasterDataCacheReader│  │ CacheKeyBuilder│  │ MasterDataCacheWriter │  │\r\n│  │ (read-only interface)│  │ (key strategy) │  │ (write/evict interface)│  │\r\n│  └─────────────────────┘  └──────────────┘  └────────────────────────┘  │\r\n│  ┌─────────────────────┐  ┌──────────────────────────────────────────┐  │\r\n│  │ MasterDataCacheStore │  │ MasterDataCacheStoreImpl                │  │\r\n│  │ (combined interface) │  │ (implements Reader + Writer using       │  │\r\n│  └─────────────────────┘  │  CacheRepository<String,String>)        │  │\r\n│                            └──────────────────────────────────────────┘  │\r\n└──────────────────────────────────────────────────────────────────────────┘\r\n           ▲                                          ▲\r\n           │ (read-only)                              │ (read + write + evict)\r\n           │                                          │\r\n┌──────────┴──────────────┐            ┌──────────────┴──────────────────┐\r\n│   master-client          │            │  master-management-module (v2)  │\r\n│                          │            │                                 │\r\n│  CachedMasterClient      │            │  On publish():                  │\r\n│  Service reads from      │            │    → cacheWriter.evict(key)     │\r\n│  cache, falls back to    │            │    (evict only — no population) │\r\n│  REST on miss            │            │                                 │\r\n│                          │            │  On GET API (read path):        │\r\n│  NEVER writes to cache   │            │    → cacheReader.get(key)       │\r\n│                          │            │    → MISS: fetch DB, then       │\r\n│                          │            │      cacheWriter.put(key, data) │\r\n└─────────────────────────┘            └─────────────────────────────────┘\r\n```\r\n\r\n### Data Flow\r\n\r\n```\r\n                  EVICT PATH (master-management-module on publish/delete)\r\n                  ──────────────────────────────────────────────────────\r\nUser creates/updates/deletes master → MasterDataService.publish()\r\n    → Provider persists to DB\r\n    → MasterDataCacheWriter.evict(key) — evict all related cache entries\r\n    → Stale cache entries removed, next read will re-populate from DB\r\n\r\n\r\n                  READ PATH — master-management-module (populates cache)\r\n                  ──────────────────────────────────────────────────────\r\nMDM GET REST API called (e.g., GET /api/v3/masters/bank)\r\n    → Controller/Consumer calls MasterDataCacheReader.get(\"master:all:BANK\")\r\n        → HIT: return cached data (no DB query)\r\n        → MISS: fetch from DB via Provider\r\n                → MasterDataCacheWriter.put(key, data) — populate cache\r\n                → return result\r\n\r\n\r\n                  READ PATH — master-client (read-only, never populates)\r\n                  ──────────────────────────────────────────────────────\r\nmaster-client consumer calls MasterClient.getAllMasterData(\"BANK\")\r\n    → CachedMasterClientService.getAllMasterData(\"BANK\")\r\n        → MasterDataCacheReader.get(\"master:all:BANK\")\r\n            → HIT: return cached data (no REST call)\r\n            → MISS: delegate to MasterRestClientService (REST call to MDM)\r\n                    → MDM GET API serves it (and populates cache as above)\r\n                    → return result (master-client does NOT write to cache)\r\n```\r\n\r\n---\r\n\r\n### Module Structure\r\n\r\n#### New Library: `master-cache-commons`\r\n\r\n```\r\nmaster-cache-commons/\r\n├── pom.xml\r\n└── src/main/java/co/rahi/common/mastercache/\r\n    ├── MasterDataCacheReader.java          # Read-only interface\r\n    ├── MasterDataCacheWriter.java          # Write/evict interface\r\n    ├── MasterDataCacheStore.java           # Combined interface (extends Reader + Writer)\r\n    ├── MasterDataCacheStoreImpl.java       # Implementation using CacheRepository\r\n    ├── CacheKeyBuilder.java                # Deterministic cache key construction\r\n    └── MasterCacheConstants.java           # TTL defaults, key prefixes\r\n```\r\n\r\n**Dependencies (pom.xml):**\r\n```xml\r\n<groupId>co.rahi.common</groupId>\r\n<artifactId>master-cache-commons</artifactId>\r\n<version>0.1.0-SNAPSHOT</version>\r\n\r\n<dependencies>\r\n    <!-- Core cache framework — Spring-independent -->\r\n    <dependency>\r\n        <groupId>co.rahi.frameworks</groupId>\r\n        <artifactId>cache-client</artifactId>\r\n        <version>0.3.0-SNAPSHOT</version>\r\n    </dependency>\r\n    <!-- Jackson for serialization -->\r\n    <dependency>\r\n        <groupId>com.fasterxml.jackson.core</groupId>\r\n        <artifactId>jackson-databind</artifactId>\r\n    </dependency>\r\n    <dependency>\r\n        <groupId>com.fasterxml.jackson.datatype</groupId>\r\n        <artifactId>jackson-datatype-jsr310</artifactId>\r\n    </dependency>\r\n    <!-- SLF4J for logging -->\r\n    <dependency>\r\n        <groupId>org.slf4j</groupId>\r\n        <artifactId>slf4j-api</artifactId>\r\n    </dependency>\r\n</dependencies>\r\n```\r\n\r\n#### Dependency Graph\r\n\r\n```\r\ncache-client (framework)\r\n    ▲\r\n    │\r\nmaster-cache-commons (shared interfaces + impl)\r\n    ▲                    ▲\r\n    │                    │\r\nmaster-client        master-management-module\r\n(+ spring-cache-client   (+ spring-cache-client\r\n for Spring wiring)       for Spring wiring)\r\n```\r\n\r\n#### Changes to Existing Modules\r\n\r\n**master-client/pom.xml** — add:\r\n```xml\r\n<dependency>\r\n    <groupId>co.rahi.common</groupId>\r\n    <artifactId>master-cache-commons</artifactId>\r\n    <version>0.1.0-SNAPSHOT</version>\r\n</dependency>\r\n<dependency>\r\n    <groupId>co.rahi.frameworks</groupId>\r\n    <artifactId>spring-cache-client</artifactId>\r\n    <version>0.3.0-SNAPSHOT</version>\r\n</dependency>\r\n```\r\n\r\n**master-management-module/pom.xml** — add:\r\n```xml\r\n<dependency>\r\n    <groupId>co.rahi.common</groupId>\r\n    <artifactId>master-cache-commons</artifactId>\r\n    <version>0.1.0-SNAPSHOT</version>\r\n</dependency>\r\n<dependency>\r\n    <groupId>co.rahi.frameworks</groupId>\r\n    <artifactId>spring-cache-client</artifactId>\r\n    <version>0.3.0-SNAPSHOT</version>\r\n</dependency>\r\n```\r\n\r\n---\r\n\r\n#### Interfaces & Classes\r\n\r\n##### MasterDataCacheReader (Read-Only Interface)\r\n\r\n```java\r\npackage co.rahi.common.mastercache;\r\n\r\nimport java.util.List;\r\nimport java.util.Optional;\r\n\r\n/**\r\n * Read-only view of the master data cache.\r\n * Used by master-client (read-only consumer) and master-management-module (data owner).\r\n */\r\npublic interface MasterDataCacheReader {\r\n\r\n    // ── Core master data ──\r\n\r\n    <T> Optional<List<T>> getAllMasterData(String masterName, Class<T> clazz);\r\n\r\n    <T> Optional<List<T>> getAllMasterDataV2(String masterName, Class<T> clazz);\r\n\r\n    <T> Optional<T> getMasterDataByCode(String masterName, String code, Class<T> clazz);\r\n\r\n    <T> Optional<List<T>> getMasterDataByCodeV2(String masterName, String code, Class<T> clazz);\r\n\r\n    // ── Lookup codes ──\r\n\r\n    <T> Optional<List<T>> getLookupCodesByCategory(String category, Class<T> clazz);\r\n\r\n    <T> Optional<List<T>> getLookUpByCategory(String category, String filter,\r\n                                               String sort, String asOfDate, Class<T> clazz);\r\n\r\n    // ── Parent/hierarchy ──\r\n\r\n    <T> Optional<List<T>> getAllMasterDataByParent(String masterName,\r\n                                                    String parentCode, Class<T> clazz);\r\n\r\n    <T> Optional<T> getMasterHierarchy(String masterName, String code, Class<T> clazz);\r\n\r\n    // ── Entity masters (v3) ──\r\n\r\n    <T> Optional<List<T>> getEntityMasterData(String entity, String filter,\r\n                                               String sort, String asOfDate, Class<T> clazz);\r\n\r\n    <T> Optional<T> getEntityMasterByCode(String entity, String code, Class<T> clazz);\r\n\r\n    // ── Product masters (v3) ──\r\n\r\n    <T> Optional<List<T>> getProductMasterData(String entity, String prodCode,\r\n                                                String filter, String sort,\r\n                                                String asOfDate, Class<T> clazz);\r\n\r\n    <T> Optional<T> getProductMasterByCode(String entity, String prodCode,\r\n                                            String code, Class<T> clazz);\r\n\r\n    // ── Definition masters (v3) ──\r\n\r\n    <T> Optional<List<T>> getDefinitionMasterData(String type, String filter,\r\n                                                   String sort, String asOfDate, Class<T> clazz);\r\n\r\n    <T> Optional<T> getDefinitionMasterByCode(String type, String code, Class<T> clazz);\r\n\r\n    // ── Payment appropriation ──\r\n\r\n    <T> Optional<T> getPaymentAppropriation(String prodType, String prodSetup,\r\n                                             String isNPA, String appType, Class<T> clazz);\r\n}\r\n```\r\n\r\n##### MasterDataCacheWriter (Write/Evict Interface)\r\n\r\n```java\r\npackage co.rahi.common.mastercache;\r\n\r\nimport java.util.List;\r\n\r\n/**\r\n * Write/evict operations on the master data cache.\r\n * ONLY used by master-management-module — the data owner.\r\n */\r\npublic interface MasterDataCacheWriter {\r\n\r\n    // ── Core master data ──\r\n\r\n    <T> void putAllMasterData(String masterName, List<T> data);\r\n\r\n    <T> void putAllMasterDataV2(String masterName, List<T> data);\r\n\r\n    <T> void putMasterDataByCode(String masterName, String code, T data);\r\n\r\n    <T> void putMasterDataByCodeV2(String masterName, String code, T data);\r\n\r\n    void evictAllMasterData(String masterName);\r\n\r\n    void evictAllMasterDataV2(String masterName);\r\n\r\n    void evictMasterDataByCode(String masterName, String code);\r\n\r\n    void evictMasterDataByCodeV2(String masterName, String code);\r\n\r\n    // ── Lookup codes ──\r\n\r\n    <T> void putLookupCodesByCategory(String category, List<T> data);\r\n\r\n    void evictLookupCodesByCategory(String category);\r\n\r\n    <T> void putLookUpByCategory(String category, String filter,\r\n                                  String sort, String asOfDate, List<T> data);\r\n\r\n    void evictLookUpByCategory(String category, String filter,\r\n                                String sort, String asOfDate);\r\n\r\n    // ── Parent/hierarchy ──\r\n\r\n    <T> void putAllMasterDataByParent(String masterName, String parentCode, List<T> data);\r\n\r\n    void evictAllMasterDataByParent(String masterName, String parentCode);\r\n\r\n    <T> void putMasterHierarchy(String masterName, String code, T data);\r\n\r\n    void evictMasterHierarchy(String masterName, String code);\r\n\r\n    // ── Entity masters (v3) ──\r\n\r\n    <T> void putEntityMasterData(String entity, String filter,\r\n                                  String sort, String asOfDate, List<T> data);\r\n\r\n    void evictEntityMasterData(String entity, String filter,\r\n                                String sort, String asOfDate);\r\n\r\n    <T> void putEntityMasterByCode(String entity, String code, T data);\r\n\r\n    void evictEntityMasterByCode(String entity, String code);\r\n\r\n    // ── Product masters (v3) ──\r\n\r\n    <T> void putProductMasterData(String entity, String prodCode,\r\n                                   String filter, String sort, String asOfDate, List<T> data);\r\n\r\n    void evictProductMasterData(String entity, String prodCode,\r\n                                 String filter, String sort, String asOfDate);\r\n\r\n    <T> void putProductMasterByCode(String entity, String prodCode, String code, T data);\r\n\r\n    void evictProductMasterByCode(String entity, String prodCode, String code);\r\n\r\n    // ── Definition masters (v3) ──\r\n\r\n    <T> void putDefinitionMasterData(String type, String filter,\r\n                                      String sort, String asOfDate, List<T> data);\r\n\r\n    void evictDefinitionMasterData(String type, String filter,\r\n                                    String sort, String asOfDate);\r\n\r\n    <T> void putDefinitionMasterByCode(String type, String code, T data);\r\n\r\n    void evictDefinitionMasterByCode(String type, String code);\r\n\r\n    // ── Payment appropriation ──\r\n\r\n    <T> void putPaymentAppropriation(String prodType, String prodSetup,\r\n                                      String isNPA, String appType, T data);\r\n\r\n    void evictPaymentAppropriation(String prodType, String prodSetup,\r\n                                    String isNPA, String appType);\r\n\r\n    // ── Bulk eviction ──\r\n\r\n    /**\r\n     * Evict ALL cache entries for a given master name across all key patterns.\r\n     * Useful when a master type is published/modified and all related\r\n     * cached views (all, byCode, entity, lookup, etc.) should be invalidated.\r\n     */\r\n    void evictAllForMaster(String masterName);\r\n}\r\n```\r\n\r\n##### MasterDataCacheStore (Combined Interface)\r\n\r\n```java\r\npackage co.rahi.common.mastercache;\r\n\r\n/**\r\n * Combined read + write cache store.\r\n * Used by master-management-module which needs both read and write access.\r\n * master-client should only inject MasterDataCacheReader.\r\n */\r\npublic interface MasterDataCacheStore extends MasterDataCacheReader, MasterDataCacheWriter {\r\n}\r\n```\r\n\r\n##### CacheKeyBuilder\r\n\r\n```java\r\npackage co.rahi.common.mastercache;\r\n\r\n/**\r\n * Builds deterministic, colon-separated cache keys.\r\n * Tenant isolation is handled automatically by ContextAwareCacheObjectStore.\r\n */\r\npublic final class CacheKeyBuilder {\r\n\r\n    private CacheKeyBuilder() {}\r\n\r\n    public static String allMasters(String masterName) {\r\n        return \"master:all:\" + masterName;\r\n    }\r\n\r\n    public static String allMastersV2(String masterName) {\r\n        return \"master:allv2:\" + masterName;\r\n    }\r\n\r\n    public static String masterByCode(String masterName, String code) {\r\n        return \"master:code:\" + masterName + \":\" + code;\r\n    }\r\n\r\n    public static String masterByCodeV2(String masterName, String code) {\r\n        return \"master:codev2:\" + masterName + \":\" + code;\r\n    }\r\n\r\n    public static String lookupByCategory(String category) {\r\n        return \"master:lookup:\" + category;\r\n    }\r\n\r\n    public static String masterByParent(String masterName, String parentCode) {\r\n        return \"master:parent:\" + masterName + \":\" + parentCode;\r\n    }\r\n\r\n    public static String hierarchy(String masterName, String code) {\r\n        return \"master:hierarchy:\" + masterName + \":\" + code;\r\n    }\r\n\r\n    public static String entityMaster(String entity, String filter, String sort, String asOfDate) {\r\n        return \"entity:\" + entity + \":\" + filter + \":\" + sort + \":\" + asOfDate;\r\n    }\r\n\r\n    public static String entityMasterByCode(String entity, String code) {\r\n        return \"entity:code:\" + entity + \":\" + code;\r\n    }\r\n\r\n    public static String productMaster(String entity, String prodCode,\r\n                                        String filter, String sort, String asOfDate) {\r\n        return \"product:\" + entity + \":\" + prodCode + \":\" + filter + \":\" + sort + \":\" + asOfDate;\r\n    }\r\n\r\n    public static String productMasterByCode(String entity, String prodCode, String code) {\r\n        return \"product:code:\" + entity + \":\" + prodCode + \":\" + code;\r\n    }\r\n\r\n    public static String definitionMaster(String type, String filter, String sort, String asOfDate) {\r\n        return \"definition:\" + type + \":\" + filter + \":\" + sort + \":\" + asOfDate;\r\n    }\r\n\r\n    public static String definitionMasterByCode(String type, String code) {\r\n        return \"definition:code:\" + type + \":\" + code;\r\n    }\r\n\r\n    public static String lookupV3(String category, String filter, String sort, String asOfDate) {\r\n        return \"lookupv3:\" + category + \":\" + filter + \":\" + sort + \":\" + asOfDate;\r\n    }\r\n\r\n    public static String paymentAppropriation(String prodType, String prodSetup,\r\n                                               String isNPA, String appType) {\r\n        return \"payment:approp:\" + prodType + \":\" + prodSetup + \":\" + isNPA + \":\" + appType;\r\n    }\r\n\r\n    /**\r\n     * Returns a prefix pattern that matches all keys for a given master name.\r\n     * Used by evictAllForMaster() for bulk invalidation.\r\n     */\r\n    public static String masterPrefix(String masterName) {\r\n        return \"master:*:\" + masterName;\r\n    }\r\n}\r\n```\r\n\r\n##### MasterCacheConstants\r\n\r\n```java\r\npackage co.rahi.common.mastercache;\r\n\r\n/**\r\n * Cache configuration loaded from co.properties.\r\n * Falls back to sensible defaults if properties are missing.\r\n *\r\n * Properties read from co.properties:\r\n *   master.cache.ttl.seconds          — TTL for all master cache entries (default: 300 = 5 min)\r\n *   master.cache.enabled              — enable cache in MDM (data owner) (default: true)\r\n *   master.client.cache.enabled       — enable cache reads in master-client (default: false)\r\n */\r\npublic final class MasterCacheConstants {\r\n\r\n    private MasterCacheConstants() {}\r\n\r\n    private static final Logger log = LoggerFactory.getLogger(MasterCacheConstants.class);\r\n\r\n    /** Default TTL in seconds (5 minutes) */\r\n    public static final long DEFAULT_TTL_SECONDS = 300;\r\n\r\n    private static final String TTL_PROPERTY = \"master.cache.ttl.seconds\";\r\n    private static final String CACHE_ENABLED_PROPERTY = \"master.cache.enabled\";\r\n    private static final String CLIENT_CACHE_ENABLED_PROPERTY = \"master.client.cache.enabled\";\r\n\r\n    private static Properties cachedProperties;\r\n    private static Long ttlSeconds;\r\n    private static Boolean cacheEnabled;\r\n    private static Boolean clientCacheEnabled;\r\n\r\n    /**\r\n     * Returns the configured TTL (in seconds) for master cache entries.\r\n     */\r\n    public static long getTtlSeconds() {\r\n        if (ttlSeconds == null) {\r\n            String value = getProperty(TTL_PROPERTY);\r\n            ttlSeconds = parseLong(value, DEFAULT_TTL_SECONDS);\r\n            log.info(\"Master cache TTL: {}s\", ttlSeconds);\r\n        }\r\n        return ttlSeconds;\r\n    }\r\n\r\n    /**\r\n     * Returns the configured TTL in milliseconds.\r\n     */\r\n    public static long getTtlMs() {\r\n        return getTtlSeconds() * 1000;\r\n    }\r\n\r\n    /**\r\n     * Whether cache is enabled in master-management-module (data owner).\r\n     * Used by MasterCacheConfig via @ConditionalOnExpression.\r\n     * Default: true\r\n     */\r\n    public static boolean isCacheEnabled() {\r\n        if (cacheEnabled == null) {\r\n            String value = getProperty(CACHE_ENABLED_PROPERTY);\r\n            cacheEnabled = parseBoolean(value, true);\r\n            log.info(\"Master cache enabled (MDM): {}\", cacheEnabled);\r\n        }\r\n        return cacheEnabled;\r\n    }\r\n\r\n    /**\r\n     * Whether cache reads are enabled in master-client (consumer).\r\n     * Used by MasterCacheSpringConfig via @ConditionalOnExpression.\r\n     * Default: false (opt-in)\r\n     */\r\n    public static boolean isClientCacheEnabled() {\r\n        if (clientCacheEnabled == null) {\r\n            String value = getProperty(CLIENT_CACHE_ENABLED_PROPERTY);\r\n            clientCacheEnabled = parseBoolean(value, false);\r\n            log.info(\"Master cache enabled (client): {}\", clientCacheEnabled);\r\n        }\r\n        return clientCacheEnabled;\r\n    }\r\n\r\n    private static String getProperty(String key) {\r\n        return loadProperties().getProperty(key);\r\n    }\r\n\r\n    private static synchronized Properties loadProperties() {\r\n        if (cachedProperties != null) {\r\n            return cachedProperties;\r\n        }\r\n        cachedProperties = new Properties();\r\n        try {\r\n            // 1. Try classpath\r\n            InputStream is = MasterCacheConstants.class.getClassLoader()\r\n                    .getResourceAsStream(\"co.properties\");\r\n            // 2. Try CONFIG_FOLDER\r\n            if (is == null) {\r\n                String folder = System.getProperty(\"CONFIG_FOLDER\");\r\n                if (folder != null) {\r\n                    File file = new File(folder, \"co.properties\");\r\n                    if (file.exists()) {\r\n                        is = new FileInputStream(file);\r\n                    }\r\n                }\r\n            }\r\n            if (is != null) {\r\n                cachedProperties.load(is);\r\n            } else {\r\n                log.warn(\"co.properties not found — using defaults for all master cache settings\");\r\n            }\r\n        } catch (Exception e) {\r\n            log.warn(\"Failed to load co.properties — using defaults for all master cache settings\", e);\r\n        }\r\n        return cachedProperties;\r\n    }\r\n\r\n    private static long parseLong(String value, long defaultValue) {\r\n        if (value != null && !value.trim().isEmpty()) {\r\n            try {\r\n                return Long.parseLong(value.trim());\r\n            } catch (NumberFormatException e) {\r\n                log.warn(\"Invalid long value '{}', using default: {}\", value, defaultValue);\r\n            }\r\n        }\r\n        return defaultValue;\r\n    }\r\n\r\n    private static boolean parseBoolean(String value, boolean defaultValue) {\r\n        if (value != null && !value.trim().isEmpty()) {\r\n            return Boolean.parseBoolean(value.trim());\r\n        }\r\n        return defaultValue;\r\n    }\r\n}\r\n```\r\n\r\n##### MasterDataCacheStoreImpl\r\n\r\n```java\r\npackage co.rahi.common.mastercache;\r\n\r\nimport co.rahi.frameworks.cache.proxy.CacheRepository;\r\nimport com.fasterxml.jackson.core.type.TypeReference;\r\nimport com.fasterxml.jackson.databind.JavaType;\r\nimport com.fasterxml.jackson.databind.ObjectMapper;\r\nimport com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;\r\nimport org.slf4j.Logger;\r\nimport org.slf4j.LoggerFactory;\r\n\r\nimport java.util.List;\r\nimport java.util.Optional;\r\n\r\n/**\r\n * Implementation of MasterDataCacheStore backed by a CacheRepository<String, String>.\r\n * Keys and values are JSON strings. Tenant isolation is handled by the underlying\r\n * ContextAwareCacheObjectStore inside the CacheRepository proxy.\r\n */\r\npublic class MasterDataCacheStoreImpl implements MasterDataCacheStore {\r\n\r\n    private static final Logger log = LoggerFactory.getLogger(MasterDataCacheStoreImpl.class);\r\n\r\n    private final CacheRepository<String, String> cacheRepository;\r\n    private final ObjectMapper objectMapper;\r\n\r\n    public MasterDataCacheStoreImpl(CacheRepository<String, String> cacheRepository) {\r\n        this.cacheRepository = cacheRepository;\r\n        this.objectMapper = new ObjectMapper();\r\n        this.objectMapper.registerModule(new JavaTimeModule());\r\n    }\r\n\r\n    // ═══════════════════════════════════════════════════\r\n    //  READ operations (MasterDataCacheReader)\r\n    // ═══════════════════════════════════════════════════\r\n\r\n    @Override\r\n    public <T> Optional<List<T>> getAllMasterData(String masterName, Class<T> clazz) {\r\n        return getList(CacheKeyBuilder.allMasters(masterName), clazz);\r\n    }\r\n\r\n    @Override\r\n    public <T> Optional<List<T>> getAllMasterDataV2(String masterName, Class<T> clazz) {\r\n        return getList(CacheKeyBuilder.allMastersV2(masterName), clazz);\r\n    }\r\n\r\n    @Override\r\n    public <T> Optional<T> getMasterDataByCode(String masterName, String code, Class<T> clazz) {\r\n        return getObject(CacheKeyBuilder.masterByCode(masterName, code), clazz);\r\n    }\r\n\r\n    @Override\r\n    public <T> Optional<List<T>> getMasterDataByCodeV2(String masterName, String code, Class<T> clazz) {\r\n        return getList(CacheKeyBuilder.masterByCodeV2(masterName, code), clazz);\r\n    }\r\n\r\n    @Override\r\n    public <T> Optional<List<T>> getLookupCodesByCategory(String category, Class<T> clazz) {\r\n        return getList(CacheKeyBuilder.lookupByCategory(category), clazz);\r\n    }\r\n\r\n    @Override\r\n    public <T> Optional<List<T>> getLookUpByCategory(String category, String filter,\r\n                                                      String sort, String asOfDate, Class<T> clazz) {\r\n        return getList(CacheKeyBuilder.lookupV3(category, filter, sort, asOfDate), clazz);\r\n    }\r\n\r\n    @Override\r\n    public <T> Optional<List<T>> getAllMasterDataByParent(String masterName,\r\n                                                           String parentCode, Class<T> clazz) {\r\n        return getList(CacheKeyBuilder.masterByParent(masterName, parentCode), clazz);\r\n    }\r\n\r\n    @Override\r\n    public <T> Optional<T> getMasterHierarchy(String masterName, String code, Class<T> clazz) {\r\n        return getObject(CacheKeyBuilder.hierarchy(masterName, code), clazz);\r\n    }\r\n\r\n    @Override\r\n    public <T> Optional<List<T>> getEntityMasterData(String entity, String filter,\r\n                                                      String sort, String asOfDate, Class<T> clazz) {\r\n        return getList(CacheKeyBuilder.entityMaster(entity, filter, sort, asOfDate), clazz);\r\n    }\r\n\r\n    @Override\r\n    public <T> Optional<T> getEntityMasterByCode(String entity, String code, Class<T> clazz) {\r\n        return getObject(CacheKeyBuilder.entityMasterByCode(entity, code), clazz);\r\n    }\r\n\r\n    @Override\r\n    public <T> Optional<List<T>> getProductMasterData(String entity, String prodCode,\r\n                                                       String filter, String sort,\r\n                                                       String asOfDate, Class<T> clazz) {\r\n        return getList(CacheKeyBuilder.productMaster(entity, prodCode, filter, sort, asOfDate), clazz);\r\n    }\r\n\r\n    @Override\r\n    public <T> Optional<T> getProductMasterByCode(String entity, String prodCode,\r\n                                                    String code, Class<T> clazz) {\r\n        return getObject(CacheKeyBuilder.productMasterByCode(entity, prodCode, code), clazz);\r\n    }\r\n\r\n    @Override\r\n    public <T> Optional<List<T>> getDefinitionMasterData(String type, String filter,\r\n                                                          String sort, String asOfDate, Class<T> clazz) {\r\n        return getList(CacheKeyBuilder.definitionMaster(type, filter, sort, asOfDate), clazz);\r\n    }\r\n\r\n    @Override\r\n    public <T> Optional<T> getDefinitionMasterByCode(String type, String code, Class<T> clazz) {\r\n        return getObject(CacheKeyBuilder.definitionMasterByCode(type, code), clazz);\r\n    }\r\n\r\n    @Override\r\n    public <T> Optional<T> getPaymentAppropriation(String prodType, String prodSetup,\r\n                                                     String isNPA, String appType, Class<T> clazz) {\r\n        return getObject(CacheKeyBuilder.paymentAppropriation(prodType, prodSetup, isNPA, appType), clazz);\r\n    }\r\n\r\n    // ═══════════════════════════════════════════════════\r\n    //  WRITE operations (MasterDataCacheWriter)\r\n    // ═══════════════════════════════════════════════════\r\n\r\n    @Override\r\n    public <T> void putAllMasterData(String masterName, List<T> data) {\r\n        putValue(CacheKeyBuilder.allMasters(masterName), data);\r\n    }\r\n\r\n    @Override\r\n    public <T> void putAllMasterDataV2(String masterName, List<T> data) {\r\n        putValue(CacheKeyBuilder.allMastersV2(masterName), data);\r\n    }\r\n\r\n    @Override\r\n    public <T> void putMasterDataByCode(String masterName, String code, T data) {\r\n        putValue(CacheKeyBuilder.masterByCode(masterName, code), data);\r\n    }\r\n\r\n    @Override\r\n    public <T> void putMasterDataByCodeV2(String masterName, String code, T data) {\r\n        putValue(CacheKeyBuilder.masterByCodeV2(masterName, code), data);\r\n    }\r\n\r\n    @Override\r\n    public void evictAllMasterData(String masterName) {\r\n        evictKey(CacheKeyBuilder.allMasters(masterName));\r\n    }\r\n\r\n    @Override\r\n    public void evictAllMasterDataV2(String masterName) {\r\n        evictKey(CacheKeyBuilder.allMastersV2(masterName));\r\n    }\r\n\r\n    @Override\r\n    public void evictMasterDataByCode(String masterName, String code) {\r\n        evictKey(CacheKeyBuilder.masterByCode(masterName, code));\r\n    }\r\n\r\n    @Override\r\n    public void evictMasterDataByCodeV2(String masterName, String code) {\r\n        evictKey(CacheKeyBuilder.masterByCodeV2(masterName, code));\r\n    }\r\n\r\n    @Override\r\n    public <T> void putLookupCodesByCategory(String category, List<T> data) {\r\n        putValue(CacheKeyBuilder.lookupByCategory(category), data);\r\n    }\r\n\r\n    @Override\r\n    public void evictLookupCodesByCategory(String category) {\r\n        evictKey(CacheKeyBuilder.lookupByCategory(category));\r\n    }\r\n\r\n    @Override\r\n    public <T> void putLookUpByCategory(String category, String filter,\r\n                                         String sort, String asOfDate, List<T> data) {\r\n        putValue(CacheKeyBuilder.lookupV3(category, filter, sort, asOfDate), data);\r\n    }\r\n\r\n    @Override\r\n    public void evictLookUpByCategory(String category, String filter,\r\n                                       String sort, String asOfDate) {\r\n        evictKey(CacheKeyBuilder.lookupV3(category, filter, sort, asOfDate));\r\n    }\r\n\r\n    @Override\r\n    public <T> void putAllMasterDataByParent(String masterName, String parentCode, List<T> data) {\r\n        putValue(CacheKeyBuilder.masterByParent(masterName, parentCode), data);\r\n    }\r\n\r\n    @Override\r\n    public void evictAllMasterDataByParent(String masterName, String parentCode) {\r\n        evictKey(CacheKeyBuilder.masterByParent(masterName, parentCode));\r\n    }\r\n\r\n    @Override\r\n    public <T> void putMasterHierarchy(String masterName, String code, T data) {\r\n        putValue(CacheKeyBuilder.hierarchy(masterName, code), data);\r\n    }\r\n\r\n    @Override\r\n    public void evictMasterHierarchy(String masterName, String code) {\r\n        evictKey(CacheKeyBuilder.hierarchy(masterName, code));\r\n    }\r\n\r\n    @Override\r\n    public <T> void putEntityMasterData(String entity, String filter,\r\n                                         String sort, String asOfDate, List<T> data) {\r\n        putValue(CacheKeyBuilder.entityMaster(entity, filter, sort, asOfDate), data);\r\n    }\r\n\r\n    @Override\r\n    public void evictEntityMasterData(String entity, String filter,\r\n                                       String sort, String asOfDate) {\r\n        evictKey(CacheKeyBuilder.entityMaster(entity, filter, sort, asOfDate));\r\n    }\r\n\r\n    @Override\r\n    public <T> void putEntityMasterByCode(String entity, String code, T data) {\r\n        putValue(CacheKeyBuilder.entityMasterByCode(entity, code), data);\r\n    }\r\n\r\n    @Override\r\n    public void evictEntityMasterByCode(String entity, String code) {\r\n        evictKey(CacheKeyBuilder.entityMasterByCode(entity, code));\r\n    }\r\n\r\n    @Override\r\n    public <T> void putProductMasterData(String entity, String prodCode,\r\n                                          String filter, String sort, String asOfDate, List<T> data) {\r\n        putValue(CacheKeyBuilder.productMaster(entity, prodCode, filter, sort, asOfDate), data);\r\n    }\r\n\r\n    @Override\r\n    public void evictProductMasterData(String entity, String prodCode,\r\n                                        String filter, String sort, String asOfDate) {\r\n        evictKey(CacheKeyBuilder.productMaster(entity, prodCode, filter, sort, asOfDate));\r\n    }\r\n\r\n    @Override\r\n    public <T> void putProductMasterByCode(String entity, String prodCode, String code, T data) {\r\n        putValue(CacheKeyBuilder.productMasterByCode(entity, prodCode, code), data);\r\n    }\r\n\r\n    @Override\r\n    public void evictProductMasterByCode(String entity, String prodCode, String code) {\r\n        evictKey(CacheKeyBuilder.productMasterByCode(entity, prodCode, code));\r\n    }\r\n\r\n    @Override\r\n    public <T> void putDefinitionMasterData(String type, String filter,\r\n                                             String sort, String asOfDate, List<T> data) {\r\n        putValue(CacheKeyBuilder.definitionMaster(type, filter, sort, asOfDate), data);\r\n    }\r\n\r\n    @Override\r\n    public void evictDefinitionMasterData(String type, String filter,\r\n                                           String sort, String asOfDate) {\r\n        evictKey(CacheKeyBuilder.definitionMaster(type, filter, sort, asOfDate));\r\n    }\r\n\r\n    @Override\r\n    public <T> void putDefinitionMasterByCode(String type, String code, T data) {\r\n        putValue(CacheKeyBuilder.definitionMasterByCode(type, code), data);\r\n    }\r\n\r\n    @Override\r\n    public void evictDefinitionMasterByCode(String type, String code) {\r\n        evictKey(CacheKeyBuilder.definitionMasterByCode(type, code));\r\n    }\r\n\r\n    @Override\r\n    public <T> void putPaymentAppropriation(String prodType, String prodSetup,\r\n                                             String isNPA, String appType, T data) {\r\n        putValue(CacheKeyBuilder.paymentAppropriation(prodType, prodSetup, isNPA, appType), data);\r\n    }\r\n\r\n    @Override\r\n    public void evictPaymentAppropriation(String prodType, String prodSetup,\r\n                                           String isNPA, String appType) {\r\n        evictKey(CacheKeyBuilder.paymentAppropriation(prodType, prodSetup, isNPA, appType));\r\n    }\r\n\r\n    @Override\r\n    public void evictAllForMaster(String masterName) {\r\n        // Evict all known key patterns for this master.\r\n        // Since CacheRepository does not support wildcard eviction,\r\n        // we evict the most common key patterns explicitly.\r\n        evictKey(CacheKeyBuilder.allMasters(masterName));\r\n        evictKey(CacheKeyBuilder.allMastersV2(masterName));\r\n        // Note: byCode, entity, product, definition keys require the code/filter\r\n        // parameters and cannot be bulk-evicted without a scan.\r\n        // For full eviction, consider Redis SCAN + DEL at the infrastructure level\r\n        // or maintain a set of cached keys per master name.\r\n        log.info(\"Evicted bulk cache entries for master={}\", masterName);\r\n    }\r\n\r\n    // ═══════════════════════════════════════════════════\r\n    //  Internal helpers\r\n    // ═══════════════════════════════════════════════════\r\n\r\n    private <T> Optional<List<T>> getList(String key, Class<T> clazz) {\r\n        try {\r\n            String cached = cacheRepository.get(key);\r\n            if (cached != null) {\r\n                JavaType listType = objectMapper.getTypeFactory()\r\n                        .constructCollectionType(List.class, clazz);\r\n                List<T> result = objectMapper.readValue(cached, listType);\r\n                return Optional.of(result);\r\n            }\r\n        } catch (Exception e) {\r\n            log.warn(\"Cache read failed for key={}\", key, e);\r\n        }\r\n        return Optional.empty();\r\n    }\r\n\r\n    private <T> Optional<T> getObject(String key, Class<T> clazz) {\r\n        try {\r\n            String cached = cacheRepository.get(key);\r\n            if (cached != null) {\r\n                T result = objectMapper.readValue(cached, clazz);\r\n                return Optional.of(result);\r\n            }\r\n        } catch (Exception e) {\r\n            log.warn(\"Cache read failed for key={}\", key, e);\r\n        }\r\n        return Optional.empty();\r\n    }\r\n\r\n    private void putValue(String key, Object value) {\r\n        try {\r\n            if (value != null) {\r\n                cacheRepository.put(key, objectMapper.writeValueAsString(value));\r\n            }\r\n        } catch (Exception e) {\r\n            log.warn(\"Cache write failed for key={}\", key, e);\r\n        }\r\n    }\r\n\r\n    private void evictKey(String key) {\r\n        try {\r\n            cacheRepository.evict(key);\r\n        } catch (Exception e) {\r\n            log.warn(\"Cache evict failed for key={}\", key, e);\r\n        }\r\n    }\r\n}\r\n```\r\n\r\n---\r\n\r\n### Cache Key Design\r\n\r\nKeys are colon-separated for readability in Redis. Tenant isolation is automatic via `ContextAwareCacheObjectStore`.\r\n\r\n| Method Category | Cache Key Format | Example |\r\n|---|---|---|\r\n| `getAllMasterData(masterName)` | `master:all:{masterName}` | `master:all:CURRENCY` |\r\n| `getAllMasterDataV2(masterName)` | `master:allv2:{masterName}` | `master:allv2:CURRENCY` |\r\n| `getMasterDataByCode(masterName, code)` | `master:code:{masterName}:{code}` | `master:code:BRANCH:BR001` |\r\n| `getMasterDataByCodeV2(masterName, code)` | `master:codev2:{masterName}:{code}` | `master:codev2:BRANCH:BR001` |\r\n| `getLookupCodesByLookupCategory(cat)` | `master:lookup:{category}` | `master:lookup:GENDER` |\r\n| `getAllMasterDataByParentMasterCode(name, parent)` | `master:parent:{name}:{parent}` | `master:parent:CITY:STATE001` |\r\n| `getMasterHierarchy(name, code)` | `master:hierarchy:{name}:{code}` | `master:hierarchy:GEO:IN` |\r\n| `getEntityMasterData(entity, filter, sort, asOfDate)` | `entity:{entity}:{filter}:{sort}:{asOfDate}` | `entity:BANK:null:null:null` |\r\n| `getEntityMasterByCode(entity, code)` | `entity:code:{entity}:{code}` | `entity:code:BANK:BK001` |\r\n| `getProductMasterData(entity, prodCode, ...)` | `product:{entity}:{prodCode}:{filter}:{sort}:{asOfDate}` | `product:RATE:PS001:null:null:null` |\r\n| `getProductMasterByCode(entity, prodCode, code)` | `product:code:{entity}:{prodCode}:{code}` | `product:code:RATE:PS001:R01` |\r\n| `getDefinitionMasterData(type, filter, sort, asOfDate)` | `definition:{type}:{filter}:{sort}:{asOfDate}` | `definition:LOAN:null:null:null` |\r\n| `getDefinitionMasterByCode(type, code)` | `definition:code:{type}:{code}` | `definition:code:LOAN:L01` |\r\n| `getLookUpByCategory(cat, filter, sort, asOfDate)` | `lookupv3:{cat}:{filter}:{sort}:{asOfDate}` | `lookupv3:GENDER:null:null:null` |\r\n| `fetchPaymentAppropriation(...)` | `payment:approp:{prodType}:{prodSetup}:{isNPA}:{appType}` | `payment:approp:HL:PS01:N:EMI` |\r\n| `validateLookupCode(checks)` | **Not cached** (validation is transactional) | -- |\r\n| `getProductSetupCyclesByDisbursementDate(...)` | **Not cached** (date-dependent, low reuse) | -- |\r\n| `getAllMasterData(className, uri, pathVars, queryParams)` | **Not cached** (generic/custom URI) | -- |\r\n| `getMasterDataByCode(className, uri, pathVars)` | **Not cached** (generic/custom URI) | -- |\r\n\r\n---\r\n\r\n### Cache Repository Definition\r\n\r\nDefined in **`master-cache-commons`** so both modules use the same repository:\r\n\r\n```java\r\npackage co.rahi.common.mastercache;\r\n\r\nimport co.rahi.frameworks.cache.proxy.CacheRepository;\r\nimport co.rahi.frameworks.cache.proxy.Redis;\r\nimport co.rahi.frameworks.cache.adaptive.TtlRefreshStrategyName;\r\n\r\n@Redis(ttl = 300000, refreshStrategy = TtlRefreshStrategyName.FIXED)\r\npublic interface MasterDataCacheRepository extends CacheRepository<String, String> {\r\n}\r\n```\r\n\r\n> **TTL:** The `@Redis(ttl = 300000)` annotation value (5 minutes) serves as the compile-time default. At runtime, the actual TTL is read from `co.properties` via `MasterCacheConstants.getTtlSeconds()`. To override, set `master.cache.ttl.seconds` in `co.properties`. With MDM-driven population, TTL acts as a safety net (stale data auto-expires even if eviction fails), not the primary freshness mechanism.\r\n\r\n---\r\n\r\n### Integration in master-client (Read-Only Consumer)\r\n\r\n#### New/Modified Classes\r\n\r\n```\r\nco.rahi.common.masterclient/\r\n├── cache/\r\n│   └── MasterCacheSpringConfig.java         # Wires MasterDataCacheReader + decorator\r\n├── client/\r\n│   ├── MasterClient.java                    # (unchanged)\r\n│   └── impl/\r\n│       ├── MasterRestClientService.java     # (unchanged)\r\n│       └── CachedMasterClientService.java   # NEW — read-only cache decorator\r\n└── factory/\r\n    └── env/\r\n        └── MasterClientProvider.java        # (unchanged)\r\n```\r\n\r\n#### Spring Configuration\r\n\r\n```java\r\npackage co.rahi.common.masterclient.cache;\r\n\r\nimport co.rahi.common.mastercache.MasterCacheConstants;\r\nimport co.rahi.common.mastercache.MasterDataCacheReader;\r\nimport co.rahi.common.mastercache.MasterDataCacheRepository;\r\nimport co.rahi.common.mastercache.MasterDataCacheStoreImpl;\r\nimport co.rahi.common.masterclient.client.MasterClient;\r\nimport co.rahi.common.masterclient.client.impl.CachedMasterClientService;\r\nimport co.rahi.common.masterclient.client.impl.MasterRestClientService;\r\nimport org.springframework.boot.autoconfigure.condition.ConditionalOnExpression;\r\nimport org.springframework.context.annotation.Bean;\r\nimport org.springframework.context.annotation.Configuration;\r\nimport org.springframework.context.annotation.Primary;\r\n\r\n@Configuration\r\n@ConditionalOnExpression(\"#{T(co.rahi.common.mastercache.MasterCacheConstants).isClientCacheEnabled()}\")\r\npublic class MasterCacheSpringConfig {\r\n\r\n    @Bean\r\n    public MasterDataCacheReader masterDataCacheReader(MasterDataCacheRepository cacheRepository) {\r\n        return new MasterDataCacheStoreImpl(cacheRepository);\r\n    }\r\n\r\n    @Bean\r\n    @Primary\r\n    public MasterClient cachedMasterClient(\r\n            MasterRestClientService restClient,\r\n            MasterDataCacheReader cacheReader) {\r\n        return new CachedMasterClientService(restClient, cacheReader);\r\n    }\r\n}\r\n```\r\n\r\n#### CachedMasterClientService (Read-Only Decorator)\r\n\r\n```java\r\npackage co.rahi.common.masterclient.client.impl;\r\n\r\nimport co.rahi.common.mastercache.MasterDataCacheReader;\r\nimport co.rahi.common.masterclient.client.MasterClient;\r\nimport co.rahi.common.masterclient.entities.BaseMaster;\r\nimport org.slf4j.Logger;\r\nimport org.slf4j.LoggerFactory;\r\n\r\nimport java.util.List;\r\nimport java.util.Optional;\r\n\r\n/**\r\n * Read-only caching decorator for MasterClient.\r\n * Reads from cache first; on miss, delegates to MasterRestClientService.\r\n * NEVER writes to cache — only master-management-module populates cache.\r\n */\r\npublic class CachedMasterClientService implements MasterClient {\r\n\r\n    private static final Logger log = LoggerFactory.getLogger(CachedMasterClientService.class);\r\n\r\n    private final MasterClient delegate;\r\n    private final MasterDataCacheReader cacheReader;\r\n\r\n    public CachedMasterClientService(MasterClient delegate, MasterDataCacheReader cacheReader) {\r\n        this.delegate = delegate;\r\n        this.cacheReader = cacheReader;\r\n    }\r\n\r\n    @Override\r\n    public <T extends BaseMaster> List<T> getAllMasterData(String masterName) {\r\n        Optional<List<T>> cached = cacheReader.getAllMasterData(masterName, BaseMaster.class)\r\n                .map(list -> (List<T>) list);\r\n        if (cached.isPresent()) {\r\n            log.debug(\"Cache HIT for getAllMasterData({})\", masterName);\r\n            return cached.get();\r\n        }\r\n        log.debug(\"Cache MISS for getAllMasterData({}), falling back to REST\", masterName);\r\n        return delegate.getAllMasterData(masterName);\r\n    }\r\n\r\n    @Override\r\n    public BaseMaster getMasterDataByCode(String masterName, String code) {\r\n        Optional<BaseMaster> cached = cacheReader.getMasterDataByCode(masterName, code, BaseMaster.class);\r\n        if (cached.isPresent()) {\r\n            return cached.get();\r\n        }\r\n        return delegate.getMasterDataByCode(masterName, code);\r\n    }\r\n\r\n    @Override\r\n    public <T extends BaseMaster> List<T> getEntityMasterData(String entityName,\r\n            String filter, String sort, String asOfDate) {\r\n        Optional<List<T>> cached = cacheReader.getEntityMasterData(entityName, filter, sort, asOfDate, BaseMaster.class)\r\n                .map(list -> (List<T>) list);\r\n        if (cached.isPresent()) {\r\n            return cached.get();\r\n        }\r\n        return delegate.getEntityMasterData(entityName, filter, sort, asOfDate);\r\n    }\r\n\r\n    @Override\r\n    public BaseMaster getEntityMasterByCode(String entityName, String code) {\r\n        Optional<BaseMaster> cached = cacheReader.getEntityMasterByCode(entityName, code, BaseMaster.class);\r\n        if (cached.isPresent()) {\r\n            return cached.get();\r\n        }\r\n        return delegate.getEntityMasterByCode(entityName, code);\r\n    }\r\n\r\n    // ... same pattern for all other cacheable methods ...\r\n\r\n    // ── Non-cached methods — delegate directly ──\r\n\r\n    @Override\r\n    public LookupValidationResult validateLookupCode(List<LookupCheck> checks) {\r\n        return delegate.validateLookupCode(checks);\r\n    }\r\n\r\n    @Override\r\n    public List<LocalDate> getProductSetupCyclesByDisbursementDate(\r\n            String productSetupCode, String disbursementDate) {\r\n        return delegate.getProductSetupCyclesByDisbursementDate(productSetupCode, disbursementDate);\r\n    }\r\n\r\n    @Override\r\n    public <T extends BaseMaster> List<T> getAllMasterData(String targetClassName, String uri,\r\n            Map<String, Object> pathVariables, Map<String, Object> queryParams) {\r\n        return delegate.getAllMasterData(targetClassName, uri, pathVariables, queryParams);\r\n    }\r\n\r\n    @Override\r\n    public BaseMaster getMasterDataByCode(String targetClassName, String uri,\r\n            Map<String, Object> pathVariables) {\r\n        return delegate.getMasterDataByCode(targetClassName, uri, pathVariables);\r\n    }\r\n}\r\n```\r\n\r\n**Key difference from old plan:** `CachedMasterClientService` **never writes to cache**. On cache miss, it returns the REST result directly without storing it. Only `master-management-module` populates cache.\r\n\r\n---\r\n\r\n###  Integration in master-management-module v2 (Data Owner)\r\n\r\n#### New/Modified Classes\r\n\r\n```\r\nmaster-management-module/src/main/java/co/rahi/common/masterdatamanagement/v2/\r\n├── infrastructure/\r\n│   ├── config/\r\n│   │   ├── Config.java                          # (existing — add cache beans)\r\n│   │   └── MasterCacheConfig.java               # NEW — wires MasterDataCacheStore\r\n│   └── cache/\r\n│       └── MasterDataCacheEvictionHandler.java   # NEW — eviction-only logic on publish\r\n├── domain/\r\n│   ├── consumers/\r\n│   │   ├── BankConsumerService.java              # (modified — cache-aside on read)\r\n│   │   └── ... (all consumers modified similarly)\r\n│   └── service/\r\n│       ├── MasterDataService.java                # (unchanged interface)\r\n│       ├── BankService.java                      # (modified — evict cache on publish)\r\n│       └── ... (all services modified similarly)\r\n```\r\n\r\n####  Spring Configuration in MDM\r\n\r\n```java\r\npackage co.rahi.common.masterdatamanagement.v2.infrastructure.config;\r\n\r\nimport co.rahi.common.mastercache.MasterCacheConstants;\r\nimport co.rahi.common.mastercache.MasterDataCacheRepository;\r\nimport co.rahi.common.mastercache.MasterDataCacheStore;\r\nimport co.rahi.common.mastercache.MasterDataCacheStoreImpl;\r\nimport co.rahi.common.mastercache.MasterDataCacheReader;\r\nimport co.rahi.common.mastercache.MasterDataCacheWriter;\r\nimport org.springframework.boot.autoconfigure.condition.ConditionalOnExpression;\r\nimport org.springframework.context.annotation.Bean;\r\nimport org.springframework.context.annotation.Configuration;\r\n\r\n@Configuration\r\n@ConditionalOnExpression(\"#{T(co.rahi.common.mastercache.MasterCacheConstants).isCacheEnabled()}\")\r\npublic class MasterCacheConfig {\r\n\r\n    @Bean\r\n    public MasterDataCacheStore masterDataCacheStore(MasterDataCacheRepository cacheRepository) {\r\n        return new MasterDataCacheStoreImpl(cacheRepository);\r\n    }\r\n\r\n    /**\r\n     * Expose the read-only view for components that only need reads.\r\n     */\r\n    @Bean\r\n    public MasterDataCacheReader masterDataCacheReader(MasterDataCacheStore cacheStore) {\r\n        return cacheStore;\r\n    }\r\n\r\n    /**\r\n     * Expose the write view for services that populate/evict cache.\r\n     */\r\n    @Bean\r\n    public MasterDataCacheWriter masterDataCacheWriter(MasterDataCacheStore cacheStore) {\r\n        return cacheStore;\r\n    }\r\n}\r\n```\r\n\r\n####  Cache Eviction on Publish (Example: BankService)\r\n\r\nThe `publish()` method in each `MasterDataService` implementation is the eviction hook. After successfully persisting data to the database, the service **evicts** related cache entries so the next read will fetch fresh data on-demand:\r\n\r\n```java\r\n// In BankService.publish() — after DB operations succeed:\r\n@Override\r\npublic void publish(String masterName, String draftId) {\r\n    // ... existing publish logic (persist to DB via provider) ...\r\n\r\n    // After successful DB commit, evict stale cache entries.\r\n    // Do NOT re-populate — let the next GET request populate on-demand.\r\n    if (cacheEvictionHandler != null) {\r\n        cacheEvictionHandler.onPublish(masterName, getEntityName(), changes);\r\n    }\r\n}\r\n```\r\n\r\n#### MasterDataCacheEvictionHandler (Centralized Eviction-Only Logic)\r\n\r\nTo avoid duplicating eviction logic across 100+ services, create a centralized handler that **only evicts** — no population:\r\n\r\n```java\r\npackage co.rahi.common.masterdatamanagement.v2.infrastructure.cache;\r\n\r\nimport co.rahi.common.mastercache.MasterDataCacheWriter;\r\nimport co.rahi.common.masterdatamanagement.v2.domain.model.MasterDataManagementStagingModel;\r\nimport org.slf4j.Logger;\r\nimport org.slf4j.LoggerFactory;\r\n\r\nimport java.util.List;\r\n\r\n/**\r\n * Centralized cache eviction handler.\r\n * Called by MasterDataService implementations after successful publish.\r\n * ONLY evicts — never populates. Cache is populated on-demand by GET API handlers.\r\n */\r\npublic class MasterDataCacheEvictionHandler {\r\n\r\n    private static final Logger log = LoggerFactory.getLogger(MasterDataCacheEvictionHandler.class);\r\n\r\n    private final MasterDataCacheWriter cacheWriter;\r\n\r\n    public MasterDataCacheEvictionHandler(MasterDataCacheWriter cacheWriter) {\r\n        this.cacheWriter = cacheWriter;\r\n    }\r\n\r\n    /**\r\n     * Called after a successful publish to evict stale cache entries.\r\n     * The next GET request will re-populate the cache on-demand.\r\n     *\r\n     * @param masterName   The master code (e.g., \"BANK_MASTER\")\r\n     * @param entityName   The entity name for v3 API (e.g., \"bank\"), nullable\r\n     * @param changes      The list of staging changes that were published\r\n     */\r\n    public void onPublish(String masterName,\r\n                           String entityName,\r\n                           List<MasterDataManagementStagingModel> changes) {\r\n        try {\r\n            // 1. Evict all list caches for this master\r\n            cacheWriter.evictAllMasterData(masterName);\r\n            cacheWriter.evictAllMasterDataV2(masterName);\r\n\r\n            // 2. Evict individual byCode entries for each changed record\r\n            for (MasterDataManagementStagingModel change : changes) {\r\n                String code = extractCodeFromChange(change);\r\n                if (code != null) {\r\n                    cacheWriter.evictMasterDataByCode(masterName, code);\r\n                    cacheWriter.evictMasterDataByCodeV2(masterName, code);\r\n                }\r\n            }\r\n\r\n            // 3. Evict entity master cache (v3 views)\r\n            if (entityName != null) {\r\n                cacheWriter.evictEntityMasterData(entityName, null, null, null);\r\n                cacheWriter.evictEntityMasterByCode(entityName, null);\r\n            }\r\n\r\n            log.info(\"Cache evicted after publish: master={}, changes={}\", masterName, changes.size());\r\n\r\n        } catch (Exception e) {\r\n            log.warn(\"Cache eviction failed after publish for master={}\", masterName, e);\r\n            // Eviction failure is non-fatal — TTL will expire stale entries eventually\r\n        }\r\n    }\r\n\r\n    /**\r\n     * Called on delete to evict specific entries.\r\n     */\r\n    public void onDelete(String masterName, String entityName, String code) {\r\n        try {\r\n            cacheWriter.evictMasterDataByCode(masterName, code);\r\n            cacheWriter.evictMasterDataByCodeV2(masterName, code);\r\n            cacheWriter.evictAllMasterData(masterName);\r\n            cacheWriter.evictAllMasterDataV2(masterName);\r\n            if (entityName != null) {\r\n                cacheWriter.evictEntityMasterByCode(entityName, code);\r\n                cacheWriter.evictEntityMasterData(entityName, null, null, null);\r\n            }\r\n        } catch (Exception e) {\r\n            log.warn(\"Cache eviction failed for master={}, code={}\", masterName, code, e);\r\n        }\r\n    }\r\n\r\n    private String extractCodeFromChange(MasterDataManagementStagingModel change) {\r\n        // Extract the identity code from the staging model's identity/newValue\r\n        // Implementation depends on how identity keys are stored in StagingRoot\r\n        if (change.getNewValue() != null) {\r\n            // Parse from JSON newValue to extract the code field\r\n            // This is master-type specific; consider passing the code explicitly\r\n            return null; // TODO: implement per staging model structure\r\n        }\r\n        return null;\r\n    }\r\n}\r\n```\r\n\r\n#### Cache-Aside in MasterConsumer / REST Controllers (On-Demand Population)\r\n\r\nThe `MasterConsumer` implementations in `domain/consumers/` (e.g., `BankConsumerService`) and the REST controllers use **cache-aside**: read from cache first, on miss fetch from DB and **populate the cache** for subsequent requests.\r\n\r\nThis is the **only place** cache gets populated. Publish only evicts.\r\n\r\n```java\r\n// In BankConsumerService (modified) — cache-aside pattern\r\n@Override\r\npublic List<Map<String, Object>> search(QueryContext ctx) {\r\n    String masterCode = getMasterCode();\r\n\r\n    // 1. Try cache first\r\n    if (cacheStore != null && isDefaultQuery(ctx)) {\r\n        Optional<List<Bank>> cached = cacheStore.getAllMasterData(masterCode, Bank.class);\r\n        if (cached.isPresent()) {\r\n            log.debug(\"Cache HIT for master={}\", masterCode);\r\n            return mapToResponse(filterByDate(cached.get(), ctx.getAsOfDate()));\r\n        }\r\n    }\r\n\r\n    // 2. Cache miss — fetch from DB\r\n    List<Bank> banks = bankProvider.getAll(masterCode);\r\n\r\n    // 3. Populate cache for next request (on-demand)\r\n    if (cacheStore != null && isDefaultQuery(ctx)) {\r\n        try {\r\n            cacheStore.putAllMasterData(masterCode, banks);\r\n            log.debug(\"Cache POPULATED for master={}\", masterCode);\r\n        } catch (Exception e) {\r\n            log.warn(\"Cache write failed for master={}\", masterCode, e);\r\n        }\r\n    }\r\n\r\n    return mapToResponse(filterByDate(banks, ctx.getAsOfDate()));\r\n}\r\n\r\n@Override\r\npublic Map<String, Object> getByCode(String code) {\r\n    String masterCode = getMasterCode();\r\n\r\n    // 1. Try cache\r\n    if (cacheStore != null) {\r\n        Optional<Bank> cached = cacheStore.getMasterDataByCode(masterCode, code, Bank.class);\r\n        if (cached.isPresent()) {\r\n            return mapSingleToResponse(cached.get());\r\n        }\r\n    }\r\n\r\n    // 2. Cache miss — fetch from DB\r\n    Bank bank = bankProvider.findByCode(masterCode, code);\r\n\r\n    // 3. Populate cache\r\n    if (cacheStore != null && bank != null) {\r\n        try {\r\n            cacheStore.putMasterDataByCode(masterCode, code, bank);\r\n        } catch (Exception e) {\r\n            log.warn(\"Cache write failed for master={}, code={}\", masterCode, code, e);\r\n        }\r\n    }\r\n\r\n    return mapSingleToResponse(bank);\r\n}\r\n\r\n/**\r\n * Only cache default (unfiltered) queries. Filtered queries bypass cache\r\n * because the filter/sort/asOfDate combinations are too numerous to cache efficiently.\r\n */\r\nprivate boolean isDefaultQuery(QueryContext ctx) {\r\n    return (ctx.getFilters() == null || ctx.getFilters().isEmpty())\r\n            && ctx.getSort() == null\r\n            && ctx.getAsOfDate() == null;\r\n}\r\n```\r\n\r\n> **Why only cache default queries?** Filtered/sorted/date-specific queries produce too many key combinations. Caching the unfiltered \"all\" list covers the most common use case. The in-memory filtering on cache hit is fast.\r\n\r\n---\r\n\r\n### Sequence Diagrams\r\n\r\n####  Cache Eviction (MDM Publishes Data — evict only, no population)\r\n\r\n```\r\nUser              MDM Controller      BankService       BankProvider       CacheEvictionHandler    Redis\r\n |                     |                  |                  |                      |                |\r\n |-- POST publish ---->|                  |                  |                      |                |\r\n |                     |-- publish() ---->|                  |                      |                |\r\n |                     |                  |-- save/update -->|                      |                |\r\n |                     |                  |<-- success ------|                      |                |\r\n |                     |                  |                  |                      |                |\r\n |                     |                  |-- onPublish() ---|--------------------->|                |\r\n |                     |                  |                  |                      |-- evict(all) ->|\r\n |                     |                  |                  |                      |-- evict(code)->|\r\n |                     |                  |                  |                      |                |\r\n |<-- 200 OK ---------|                  |                  |                      |                |\r\n |                     |                  |                  |                      |                |\r\n | (cache is now empty for this master — next GET will re-populate on-demand)      |                |\r\n```\r\n\r\n#### Cache Read (master-client — Cache Hit)\r\n\r\n```\r\nConsumer          CachedMasterClientService    MasterDataCacheReader    Redis\r\n   |                        |                        |                    |\r\n   |--- getAllMasterData -->|                        |                    |\r\n   |                        |--- get(key) ---------->|                    |\r\n   |                        |                        |--- GET key ------->|\r\n   |                        |                        |<-- cached JSON ----|\r\n   |                        |<-- Optional.of(data) --|                    |\r\n   |<-- List<T> ------------|                        |                    |\r\n   |                        |                        |                    |\r\n   |  (no REST call made)   |                        |                    |\r\n```\r\n\r\n#### Cache Read (master-client — Cache Miss, NO cache write)\r\n\r\n```\r\nConsumer          CachedMasterClientService    MasterDataCacheReader    MasterRestClientService    MDM GET API\r\n   |                        |                        |                         |                      |\r\n   |--- getAllMasterData -->|                        |                         |                      |\r\n   |                        |--- get(key) ---------->|                         |                      |\r\n   |                        |<-- Optional.empty() ---|                         |                      |\r\n   |                        |                        |                         |                      |\r\n   |                        |--- getAllMasterData ---|------------------------>|                      |\r\n   |                        |                        |                         |--- REST GET -------->|\r\n   |                        |                        |                         |    (MDM GET handler  |\r\n   |                        |                        |                         |     populates cache) |\r\n   |                        |                        |                         |<-- JSON response ----|\r\n   |                        |<-- List<T> ------------|-------------------------|                      |\r\n   |<-- List<T> ------------|                        |                         |                      |\r\n   |                        |                        |                         |                      |\r\n   |  (master-client does NOT write to cache — MDM's GET handler populated it)|                      |\r\n```\r\n\r\n#### Cache Read (MDM internal — Consumer/Controller, on-demand population)\r\n\r\n```\r\nMDM Controller      MasterConsumer       MasterDataCacheStore     BankProvider    Redis\r\n   |                     |                      |                     |            |\r\n   |-- search(ctx) ----->|                      |                     |            |\r\n   |                     |--- get(key) -------->|                     |            |\r\n   |                     |                      |--- GET key -------->|            |\r\n   |                     |                      |<-- null (miss) -----|            |\r\n   |                     |<-- Optional.empty() -|                     |            |\r\n   |                     |                      |                     |            |\r\n   |                     |--- getAll() -------->|-------------------->|            |\r\n   |                     |                      |                     |            |\r\n   |                     |<-- List<Bank> --------|<-------------------|            |\r\n   |                     |                      |                     |            |\r\n   |                     |--- put(key, data) -->|                     |            |\r\n   |                     |                      |--- SETEX key ------>|            |\r\n   |                     |                      |                     |            |\r\n   |<-- response --------|                      |                     |            |\r\n   |                     |                      |                     |            |\r\n   | (DB queried, result cached — next request will be a cache hit)   |            |\r\n```\r\n\r\n#### Cache Read (MDM internal — Cache Hit, no DB)\r\n\r\n```\r\nMDM Controller      MasterConsumer       MasterDataCacheStore     Redis\r\n   |                     |                      |                   |\r\n   |-- search(ctx) ----->|                      |                   |\r\n   |                     |--- get(key) -------->|                   |\r\n   |                     |                      |--- GET key ------>|\r\n   |                     |                      |<-- cached JSON ---|\r\n   |                     |<-- Optional.of(data)-|                   |\r\n   |<-- response --------|                      |                   |\r\n   |                     |                      |                   |\r\n   | (served from cache — no DB query needed)   |                   |\r\n```\r\n\r\n---\r\n\r\n### TTL Strategy\r\n\r\nWith evict-on-publish + populate-on-read, TTL serves as a **safety net** — stale data expires even if eviction somehow misses a key.\r\n\r\nA single common TTL is used for all master types, configurable via `co.properties`:\r\n\r\n| Property | Default | Strategy | Rationale |\r\n|---|---|---|---|\r\n| `master.cache.ttl.seconds` | `300` (5 min) | `FIXED` | Safety net — stale data expires if eviction fails |\r\n\r\n> The TTL is read from `co.properties` at runtime by `MasterCacheConstants.getTtlSeconds()`. The `@Redis(ttl = 300000)` annotation provides the compile-time default. To change the TTL for a deployment, set `master.cache.ttl.seconds` in `co.properties` — no code change or recompilation needed.\r\n\r\n---\r\n\r\n### Configuration\r\n\r\n####  master-management-module (Data Owner)\r\n\r\n```properties\r\n# ── Master cache settings (all in co.properties) ──\r\n\r\n# Enable cache population/eviction in MDM (default: true)\r\nmaster.cache.enabled=true\r\n\r\n# Master cache TTL in seconds (default: 300 = 5 minutes)\r\nmaster.cache.ttl.seconds=300\r\n\r\n# ── Redis connection ──\r\ncache.redis.host=localhost\r\ncache.redis.port=6379\r\ncache.redis.timeout=2000\r\ncache.redis.ssl=false\r\ncache.redis.password=secretpassword\r\ncache.redis.database=0\r\ncache.redis.max.total=50\r\ncache.redis.max.idle=10\r\ncache.redis.min.idle=5\r\n```\r\n\r\n#### master-client (Read-Only Consumer)\r\n\r\n```properties\r\n# ── Master cache settings (all in co.properties) ──\r\n\r\n# Enable cache reads in master-client (default: false — opt-in)\r\nmaster.client.cache.enabled=true\r\n\r\n# Master cache TTL in seconds (default: 300 = 5 minutes)\r\n# Must match the TTL configured in master-management-module\r\nmaster.cache.ttl.seconds=300\r\n\r\n# ── Redis connection (must point to same Redis instance as MDM) ──\r\ncache.redis.host=localhost\r\ncache.redis.port=6379\r\ncache.redis.timeout=2000\r\ncache.redis.ssl=false\r\ncache.redis.password=secretpassword\r\ncache.redis.database=0\r\n```\r\n\r\n> **Critical:** Both modules must connect to the **same Redis instance/cluster** for cache sharing to work. All master cache settings (`master.cache.*`, `master.client.cache.*`) are read from `co.properties` by `MasterCacheConstants` — not from Spring `application.properties`.\r\n\r\n---\r\n\r\n### Thread Safety & Concurrency\r\n\r\n- `MasterDataCacheStoreImpl` is stateless (injected `CacheRepository` and `ObjectMapper` are thread-safe).\r\n- Redis operations are atomic (GET, SETEX, DEL).\r\n- Race condition: MDM evicts while master-client reads — acceptable. Client gets empty and falls back to REST.\r\n- Race condition: MDM publishes while client reads stale — acceptable. TTL ensures eventual consistency within the configured `master.cache.ttl.seconds` window.\r\n\r\n---\r\n\r\n### Error Handling\r\n\r\n| Scenario | Behavior |\r\n|---|---|\r\n| Cache read fails (Redis down) | `Optional.empty()` returned, fall through to REST/DB. Warning logged. |\r\n| Cache write fails (Redis down) | Publish still succeeds (DB committed). Warning logged. Cache will be populated on next publish. |\r\n| Cache evict fails | Warning logged. TTL will expire the stale entry. |\r\n| Serialization fails | Warning logged, treated as cache miss/write failure. |\r\n\r\n---\r\n\r\n### Testing Strategy\r\n\r\n#### master-cache-commons Tests (TestNG)\r\n\r\n| Test Class | What It Tests |\r\n|---|---|\r\n| `CacheKeyBuilderTest` | Key format correctness for all methods |\r\n| `MasterDataCacheStoreImplTest` | Read/write/evict operations with mocked `CacheRepository` |\r\n| `MasterDataCacheStoreImplReadOnlyTest` | Verify read operations return `Optional.empty()` on miss |\r\n\r\n#### master-client Tests (TestNG + Mockito)\r\n\r\n| Test Class | What It Tests |\r\n|---|---|\r\n| `CachedMasterClientServiceTest` | Cache hit → returns cached data, delegate NOT called |\r\n| | Cache miss → delegates to REST, does NOT write to cache |\r\n| | Cache read failure → falls back to REST |\r\n| | Non-cached methods → always delegate directly |\r\n\r\n#### master-management-module Tests (TestNG + Mockito)\r\n\r\n| Test Class | What It Tests |\r\n|---|---|\r\n| `MasterDataCacheEvictionHandlerTest` | Eviction + population on publish |\r\n| | Delete eviction for specific codes |\r\n| | Error handling when cache write fails |\r\n| `BankServiceCacheTest` (example) | publish() calls cacheEvictionHandler.onPublish() |\r\n\r\n#### Integration Test\r\n\r\n```java\r\n// Verify that both modules share the same cache\r\n// 1. MDM publishes Bank data → cache populated\r\n// 2. master-client reads Bank data → cache hit, no REST call\r\n// 3. MDM deletes Bank → cache evicted\r\n// 4. master-client reads Bank data → cache miss, REST call\r\n```\r\n\r\n---\r\n\r\n### Impact Analysis\r\n\r\n| Module | Impact |\r\n|---|---|\r\n| **master-cache-commons** (NEW) | New library — interfaces, impl, key builder, constants |\r\n| **master-client** | Add dependency on `master-cache-commons` + `spring-cache-client`. New `CachedMasterClientService` (read-only decorator). New `MasterCacheSpringConfig`. `MasterClient` interface **unchanged**. |\r\n| **master-management-module v2** | Add dependency on `master-cache-commons` + `spring-cache-client`. New `MasterCacheConfig`. New `MasterDataCacheEvictionHandler`. Modify `MasterDataService` implementations to call cache handler on publish. |\r\n| **cache-client** | No changes |\r\n| **spring-cache-client** | No changes |\r\n| **Consumer applications** | Add `master.client.cache.enabled=true` + Redis config + optionally `master.cache.ttl.seconds` in `co.properties`. No code changes. |\r\n\r\n---\r\n\r\n### Risks & Mitigations\r\n\r\n| Risk | Mitigation |\r\n|---|---|\r\n| Cold cache — master-client gets cache miss | Falls back to REST (same as today). MDM GET handler populates cache on-demand. Consider warm-up in Phase 2. |\r\n| MDM fails to evict cache after publish | TTL ensures stale data expires within configured window. |\r\n| Redis connectivity between modules | Both degrade gracefully — MDM logs warning, client falls back to REST. |\r\n| Both modules must use same Redis | Enforce via shared `co.properties` config. |\r\n| Parameterized cache keys (filter/sort/asOfDate) hard to evict | Evict default (null params) on publish. Filtered queries re-fetch from REST on miss. |\r\n| 100+ services need cache integration | Centralized `MasterDataCacheEvictionHandler` + modify `publish()` in base pattern. |\r\n| `evictAllForMaster()` can't wildcard-evict all key patterns | Evict known patterns (all, allv2). Code-specific keys expire via TTL. Phase 2: maintain key registry. |\r\n\r\n---\r\n\r\n","filename":"\\09.MasterCaching.md","format":"Markdown","order":9,"title":""}]},"id":10,"lastModifiedAgent":"structurizr-cli/","lastModifiedDate":"2026-03-23T12:23:50Z","lastModifiedUser":"kaushikpatel@RT0006","model":{"softwareSystems":[{"containers":[{"description":"This service will be handling all master data","documentation":{},"id":"2","name":"Master Service","properties":{"structurizr.dsl.identifier":"masterservice"},"relationships":[{"description":"reads/writes from/to","destinationId":"3","id":"4","sourceId":"2","tags":"Relationship"}],"tags":"Element,Container,CONTAINER","technology":"java"},{"description":"Master DB","documentation":{},"id":"3","name":"Master DB","properties":{"structurizr.dsl.identifier":"masterdb"},"tags":"Element,Container,RELDB","technology":"postgres"}],"documentation":{},"id":"1","location":"Unspecified","name":"Master Module","properties":{"structurizr.dsl.identifier":"mastermodule"},"tags":"Element,Software System"}]},"name":"Master Data Management","properties":{"structurizr.dsl":"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"},"revision":35,"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":"#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":"2","x":0,"y":0},{"id":"3","x":0,"y":0}],"externalSoftwareSystemBoundariesVisible":false,"generatedKey":true,"key":"Container-001","order":3,"relationships":[{"id":"4"}],"softwareSystemId":"1"}],"systemContextViews":[{"automaticLayout":{"applied":false,"edgeSeparation":0,"implementation":"Graphviz","nodeSeparation":300,"rankDirection":"TopBottom","rankSeparation":300,"vertices":false},"elements":[{"id":"1","x":0,"y":0}],"enterpriseBoundaryVisible":true,"generatedKey":true,"key":"SystemContext-001","order":2,"softwareSystemId":"1"}],"systemLandscapeViews":[{"automaticLayout":{"applied":false,"edgeSeparation":0,"implementation":"Graphviz","nodeSeparation":300,"rankDirection":"TopBottom","rankSeparation":300,"vertices":false},"elements":[{"id":"1","x":0,"y":0}],"enterpriseBoundaryVisible":true,"generatedKey":true,"key":"SystemLandscape-001","order":1}]}}