generated from dhairya/scenario_template
System save at 09/10/2024 09:45 by user_client2024
This commit is contained in:
user_client2024
parent
fb2207b20c
commit
23aaa1a05a
365
.ipynb_checkpoints/main-checkpoint.ipynb
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365
.ipynb_checkpoints/main-checkpoint.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "e706cfb0-2234-4c4c-95d8-d1968f656aa0",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"\n",
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"query = \"\"\"\n",
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" select final.CUSTOMER_NUMBER_main as Focal_id,\n",
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" final.Credit_transaction_amount,\n",
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" final.Total_no_of_credit_transactions,\n",
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" final.Debit_transaction_amount,\n",
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" final.Total_no_of_debit_transactions,\n",
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" final.SEGMENT,\n",
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" final.RISK,\n",
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" final.SAR_FLAG\n",
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" from \n",
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" (\n",
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" (\n",
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" select subquery.CUSTOMER_NUMBER_1 as CUSTOMER_NUMBER_main,\n",
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" subquery.Credit_transaction_amount,\n",
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" subquery.Total_no_of_credit_transactions,\n",
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" case\n",
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" when subquery.Debit_transaction_amount is NULL then 0\n",
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" else Debit_transaction_amount\n",
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" end as Debit_transaction_amount,\n",
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" case\n",
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" when subquery.Total_no_of_debit_transactions is NULL then 0\n",
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" else Total_no_of_debit_transactions\n",
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" end as Total_no_of_debit_transactions\n",
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" from \n",
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" (\n",
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" (\n",
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" select customer_number as CUSTOMER_NUMBER_1, \n",
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" sum(transaction_amount) as Credit_transaction_amount, \n",
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" count(*) as Total_no_of_credit_transactions\n",
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" from \n",
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" (\n",
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" select * \n",
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" from {trans_data} trans_table left join {acc_data} acc_table\n",
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" on trans_table.benef_account_number = acc_table.account_number\n",
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" )\n",
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" where account_number not in ('None')\n",
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" group by 1\n",
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" ) credit left join\n",
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" (\n",
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" select customer_number as CUSTOMER_NUMBER_2, \n",
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" sum(transaction_amount) as Debit_transaction_amount, \n",
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" count(*) as Total_no_of_debit_transactions\n",
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" from \n",
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" (\n",
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" select * \n",
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" from {trans_data} trans_table left join {acc_data} acc_table\n",
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" on trans_table.orig_account_number = acc_table.account_number\n",
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" )\n",
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" where account_number not in ('None')\n",
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" group by 1\n",
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" ) debit on credit.CUSTOMER_NUMBER_1 = debit.CUSTOMER_NUMBER_2 \n",
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" ) subquery\n",
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" ) main left join \n",
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" (\n",
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" select subquery.CUSTOMER_NUMBER_3 as CUSTOMER_NUMBER_cust,\n",
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" subquery.SEGMENT,\n",
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" subquery.RISK,\n",
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" case\n",
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" when subquery.SAR_FLAG is NULL then 'N'\n",
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" else subquery.SAR_FLAG\n",
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" end as SAR_FLAG \n",
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" from\n",
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" (\n",
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" (\n",
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" select customer_number as CUSTOMER_NUMBER_3, \n",
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" business_segment as SEGMENT,\n",
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" case\n",
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" when RISK_CLASSIFICATION = 1 then 'Low Risk'\n",
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" when RISK_CLASSIFICATION = 2 then 'Medium Risk'\n",
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" when RISK_CLASSIFICATION = 3 then 'High Risk'\n",
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" else 'Unknown Risk'\n",
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" end AS RISK\n",
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" from {cust_data}\n",
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" ) cd left join\n",
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" (\n",
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" select customer_number as CUSTOMER_NUMBER_4, \n",
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" sar_flag as SAR_FLAG\n",
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" from {alert_data}\n",
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" ) ad on cd.CUSTOMER_NUMBER_3 = ad.CUSTOMER_NUMBER_4\n",
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" ) subquery\n",
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" ) cust_alert on cust_alert.CUSTOMER_NUMBER_cust = main.CUSTOMER_NUMBER_main\n",
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" ) final\n",
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"\"\"\"\n",
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"\n",
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"from tms_data_interface import SQLQueryInterface\n",
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" \n",
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"class Scenario:\n",
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" seq = SQLQueryInterface(schema=\"transactionschema\")\n",
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" \n",
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" def logic(self, **kwargs):\n",
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" row_list = self.seq.execute_raw(query.format(trans_data=\"transaction10m\",\n",
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" cust_data=\"customer_data_v1\",\n",
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" acc_data=\"account_data_v1\",\n",
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" alert_data=\"alert_data_v1\")\n",
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" )\n",
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" cols = [\"Focal_id\", \"Credit_transaction_amount\", \"Total_no_of_credit_transactions\",\n",
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" \"Debit_transaction_amount\", \"Total_no_of_debit_transactions\",\n",
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" \"Segment\", \"Risk\", \"SAR_FLAG\"]\n",
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" df = pd.DataFrame(row_list, columns = cols)\n",
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" return df"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "741546f6-df8f-4578-bbd2-79aa38a98c5b",
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"metadata": {
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"tags": []
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},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Focal_id</th>\n",
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" <th>Credit_transaction_amount</th>\n",
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" <th>Total_no_of_credit_transactions</th>\n",
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" <th>Debit_transaction_amount</th>\n",
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" <th>Total_no_of_debit_transactions</th>\n",
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" <th>Segment</th>\n",
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" <th>Risk</th>\n",
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" <th>SAR_FLAG</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>PN182121</td>\n",
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" <td>1.644268e+09</td>\n",
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" <td>1168</td>\n",
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" <td>1.717572e+09</td>\n",
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" <td>1198</td>\n",
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" <td>SME</td>\n",
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" <td>Low Risk</td>\n",
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" <td>N</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>PN476208</td>\n",
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" <td>2.792031e+09</td>\n",
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" <td>1993</td>\n",
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" <td>2.777591e+09</td>\n",
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" <td>2010</td>\n",
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" <td>Whole Sale Banking</td>\n",
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" <td>Low Risk</td>\n",
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" <td>N</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>PN413985</td>\n",
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" <td>3.621153e+09</td>\n",
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" <td>2438</td>\n",
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" <td>3.290559e+09</td>\n",
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" <td>2375</td>\n",
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" <td>SME</td>\n",
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" <td>High Risk</td>\n",
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" <td>N</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>PN906130</td>\n",
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" <td>1.666937e+09</td>\n",
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" <td>1222</td>\n",
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" <td>1.756952e+09</td>\n",
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" <td>1177</td>\n",
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" <td>Whole Sale Banking</td>\n",
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" <td>Low Risk</td>\n",
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" <td>N</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>PN446914</td>\n",
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" <td>3.379522e+09</td>\n",
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" <td>2378</td>\n",
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" <td>3.512353e+09</td>\n",
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" <td>2454</td>\n",
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" <td>SME</td>\n",
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" <td>Low Risk</td>\n",
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" <td>N</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>10009</th>\n",
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" <td>PN723207</td>\n",
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" <td>4.765892e+07</td>\n",
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" <td>298</td>\n",
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" <td>2.651826e+07</td>\n",
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" <td>378</td>\n",
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" <td>Ultra High NetWorth</td>\n",
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" <td>Low Risk</td>\n",
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" <td>N</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>10010</th>\n",
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" <td>PN860773</td>\n",
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" <td>3.537672e+07</td>\n",
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" <td>256</td>\n",
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" <td>2.578618e+07</td>\n",
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" <td>363</td>\n",
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" <td>Others</td>\n",
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" <td>Low Risk</td>\n",
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" <td>N</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>10011</th>\n",
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" <td>PN741843</td>\n",
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" <td>3.787797e+07</td>\n",
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" <td>255</td>\n",
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" <td>2.909541e+07</td>\n",
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" <td>346</td>\n",
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" <td>Priority Banking</td>\n",
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" <td>Medium Risk</td>\n",
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" <td>N</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>10012</th>\n",
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" <td>PN588393</td>\n",
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" <td>3.567320e+07</td>\n",
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" <td>254</td>\n",
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" <td>2.676294e+07</td>\n",
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" <td>391</td>\n",
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" <td>Mass Market</td>\n",
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" <td>Low Risk</td>\n",
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" <td>N</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>10013</th>\n",
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" <td>PN168372</td>\n",
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" <td>3.166679e+07</td>\n",
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" <td>253</td>\n",
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" <td>2.707380e+07</td>\n",
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" <td>355</td>\n",
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" <td>Mass Market</td>\n",
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" <td>Low Risk</td>\n",
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" <td>N</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"<p>10014 rows × 8 columns</p>\n",
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"</div>"
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],
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"text/plain": [
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" Focal_id Credit_transaction_amount Total_no_of_credit_transactions \\\n",
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"0 PN182121 1.644268e+09 1168 \n",
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"1 PN476208 2.792031e+09 1993 \n",
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"2 PN413985 3.621153e+09 2438 \n",
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"3 PN906130 1.666937e+09 1222 \n",
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"4 PN446914 3.379522e+09 2378 \n",
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"... ... ... ... \n",
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"10009 PN723207 4.765892e+07 298 \n",
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"10010 PN860773 3.537672e+07 256 \n",
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"10011 PN741843 3.787797e+07 255 \n",
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"10012 PN588393 3.567320e+07 254 \n",
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"10013 PN168372 3.166679e+07 253 \n",
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"\n",
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" Debit_transaction_amount Total_no_of_debit_transactions \\\n",
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"0 1.717572e+09 1198 \n",
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"1 2.777591e+09 2010 \n",
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"2 3.290559e+09 2375 \n",
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"3 1.756952e+09 1177 \n",
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"4 3.512353e+09 2454 \n",
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"... ... ... \n",
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"10009 2.651826e+07 378 \n",
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"10010 2.578618e+07 363 \n",
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"10011 2.909541e+07 346 \n",
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"10012 2.676294e+07 391 \n",
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"10013 2.707380e+07 355 \n",
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"\n",
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" Segment Risk SAR_FLAG \n",
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"0 SME Low Risk N \n",
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"1 Whole Sale Banking Low Risk N \n",
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"2 SME High Risk N \n",
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"3 Whole Sale Banking Low Risk N \n",
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"4 SME Low Risk N \n",
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"... ... ... ... \n",
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"10009 Ultra High NetWorth Low Risk N \n",
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"10010 Others Low Risk N \n",
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"10011 Priority Banking Medium Risk N \n",
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"10012 Mass Market Low Risk N \n",
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"10013 Mass Market Low Risk N \n",
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"\n",
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"[10014 rows x 8 columns]"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# sen = Scenario()\n",
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"# sen.logic()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2f8eee99-046e-4d56-afb8-9007fdc2f5b2",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.8"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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398
main.ipynb
398
main.ipynb
@ -1,33 +1,365 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e706cfb0-2234-4c4c-95d8-d1968f656aa0",
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"metadata": {},
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"outputs": [],
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"source": "from tms_data_interface import SQLQueryInterface\n\nclass Scenario:\n\tseq = SQLQueryInterface()\n\n\tdef logic(self, **kwargs):\n\t\t# Write your code here\n"
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.13"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "e706cfb0-2234-4c4c-95d8-d1968f656aa0",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"\n",
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"query = \"\"\"\n",
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" select final.CUSTOMER_NUMBER_main as Focal_id,\n",
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" final.Credit_transaction_amount,\n",
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" final.Total_no_of_credit_transactions,\n",
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" final.Debit_transaction_amount,\n",
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" final.Total_no_of_debit_transactions,\n",
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" final.SEGMENT,\n",
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" final.RISK,\n",
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" final.SAR_FLAG\n",
|
||||
" from \n",
|
||||
" (\n",
|
||||
" (\n",
|
||||
" select subquery.CUSTOMER_NUMBER_1 as CUSTOMER_NUMBER_main,\n",
|
||||
" subquery.Credit_transaction_amount,\n",
|
||||
" subquery.Total_no_of_credit_transactions,\n",
|
||||
" case\n",
|
||||
" when subquery.Debit_transaction_amount is NULL then 0\n",
|
||||
" else Debit_transaction_amount\n",
|
||||
" end as Debit_transaction_amount,\n",
|
||||
" case\n",
|
||||
" when subquery.Total_no_of_debit_transactions is NULL then 0\n",
|
||||
" else Total_no_of_debit_transactions\n",
|
||||
" end as Total_no_of_debit_transactions\n",
|
||||
" from \n",
|
||||
" (\n",
|
||||
" (\n",
|
||||
" select customer_number as CUSTOMER_NUMBER_1, \n",
|
||||
" sum(transaction_amount) as Credit_transaction_amount, \n",
|
||||
" count(*) as Total_no_of_credit_transactions\n",
|
||||
" from \n",
|
||||
" (\n",
|
||||
" select * \n",
|
||||
" from {trans_data} trans_table left join {acc_data} acc_table\n",
|
||||
" on trans_table.benef_account_number = acc_table.account_number\n",
|
||||
" )\n",
|
||||
" where account_number not in ('None')\n",
|
||||
" group by 1\n",
|
||||
" ) credit left join\n",
|
||||
" (\n",
|
||||
" select customer_number as CUSTOMER_NUMBER_2, \n",
|
||||
" sum(transaction_amount) as Debit_transaction_amount, \n",
|
||||
" count(*) as Total_no_of_debit_transactions\n",
|
||||
" from \n",
|
||||
" (\n",
|
||||
" select * \n",
|
||||
" from {trans_data} trans_table left join {acc_data} acc_table\n",
|
||||
" on trans_table.orig_account_number = acc_table.account_number\n",
|
||||
" )\n",
|
||||
" where account_number not in ('None')\n",
|
||||
" group by 1\n",
|
||||
" ) debit on credit.CUSTOMER_NUMBER_1 = debit.CUSTOMER_NUMBER_2 \n",
|
||||
" ) subquery\n",
|
||||
" ) main left join \n",
|
||||
" (\n",
|
||||
" select subquery.CUSTOMER_NUMBER_3 as CUSTOMER_NUMBER_cust,\n",
|
||||
" subquery.SEGMENT,\n",
|
||||
" subquery.RISK,\n",
|
||||
" case\n",
|
||||
" when subquery.SAR_FLAG is NULL then 'N'\n",
|
||||
" else subquery.SAR_FLAG\n",
|
||||
" end as SAR_FLAG \n",
|
||||
" from\n",
|
||||
" (\n",
|
||||
" (\n",
|
||||
" select customer_number as CUSTOMER_NUMBER_3, \n",
|
||||
" business_segment as SEGMENT,\n",
|
||||
" case\n",
|
||||
" when RISK_CLASSIFICATION = 1 then 'Low Risk'\n",
|
||||
" when RISK_CLASSIFICATION = 2 then 'Medium Risk'\n",
|
||||
" when RISK_CLASSIFICATION = 3 then 'High Risk'\n",
|
||||
" else 'Unknown Risk'\n",
|
||||
" end AS RISK\n",
|
||||
" from {cust_data}\n",
|
||||
" ) cd left join\n",
|
||||
" (\n",
|
||||
" select customer_number as CUSTOMER_NUMBER_4, \n",
|
||||
" sar_flag as SAR_FLAG\n",
|
||||
" from {alert_data}\n",
|
||||
" ) ad on cd.CUSTOMER_NUMBER_3 = ad.CUSTOMER_NUMBER_4\n",
|
||||
" ) subquery\n",
|
||||
" ) cust_alert on cust_alert.CUSTOMER_NUMBER_cust = main.CUSTOMER_NUMBER_main\n",
|
||||
" ) final\n",
|
||||
"\"\"\"\n",
|
||||
"\n",
|
||||
"from tms_data_interface import SQLQueryInterface\n",
|
||||
" \n",
|
||||
"class Scenario:\n",
|
||||
" seq = SQLQueryInterface(schema=\"transactionschema\")\n",
|
||||
" \n",
|
||||
" def logic(self, **kwargs):\n",
|
||||
" row_list = self.seq.execute_raw(query.format(trans_data=\"transaction10m\",\n",
|
||||
" cust_data=\"customer_data_v1\",\n",
|
||||
" acc_data=\"account_data_v1\",\n",
|
||||
" alert_data=\"alert_data_v1\")\n",
|
||||
" )\n",
|
||||
" cols = [\"Focal_id\", \"Credit_transaction_amount\", \"Total_no_of_credit_transactions\",\n",
|
||||
" \"Debit_transaction_amount\", \"Total_no_of_debit_transactions\",\n",
|
||||
" \"Segment\", \"Risk\", \"SAR_FLAG\"]\n",
|
||||
" df = pd.DataFrame(row_list, columns = cols)\n",
|
||||
" return df"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"id": "741546f6-df8f-4578-bbd2-79aa38a98c5b",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<div>\n",
|
||||
"<style scoped>\n",
|
||||
" .dataframe tbody tr th:only-of-type {\n",
|
||||
" vertical-align: middle;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .dataframe tbody tr th {\n",
|
||||
" vertical-align: top;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .dataframe thead th {\n",
|
||||
" text-align: right;\n",
|
||||
" }\n",
|
||||
"</style>\n",
|
||||
"<table border=\"1\" class=\"dataframe\">\n",
|
||||
" <thead>\n",
|
||||
" <tr style=\"text-align: right;\">\n",
|
||||
" <th></th>\n",
|
||||
" <th>Focal_id</th>\n",
|
||||
" <th>Credit_transaction_amount</th>\n",
|
||||
" <th>Total_no_of_credit_transactions</th>\n",
|
||||
" <th>Debit_transaction_amount</th>\n",
|
||||
" <th>Total_no_of_debit_transactions</th>\n",
|
||||
" <th>Segment</th>\n",
|
||||
" <th>Risk</th>\n",
|
||||
" <th>SAR_FLAG</th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>0</th>\n",
|
||||
" <td>PN182121</td>\n",
|
||||
" <td>1.644268e+09</td>\n",
|
||||
" <td>1168</td>\n",
|
||||
" <td>1.717572e+09</td>\n",
|
||||
" <td>1198</td>\n",
|
||||
" <td>SME</td>\n",
|
||||
" <td>Low Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1</th>\n",
|
||||
" <td>PN476208</td>\n",
|
||||
" <td>2.792031e+09</td>\n",
|
||||
" <td>1993</td>\n",
|
||||
" <td>2.777591e+09</td>\n",
|
||||
" <td>2010</td>\n",
|
||||
" <td>Whole Sale Banking</td>\n",
|
||||
" <td>Low Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2</th>\n",
|
||||
" <td>PN413985</td>\n",
|
||||
" <td>3.621153e+09</td>\n",
|
||||
" <td>2438</td>\n",
|
||||
" <td>3.290559e+09</td>\n",
|
||||
" <td>2375</td>\n",
|
||||
" <td>SME</td>\n",
|
||||
" <td>High Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>3</th>\n",
|
||||
" <td>PN906130</td>\n",
|
||||
" <td>1.666937e+09</td>\n",
|
||||
" <td>1222</td>\n",
|
||||
" <td>1.756952e+09</td>\n",
|
||||
" <td>1177</td>\n",
|
||||
" <td>Whole Sale Banking</td>\n",
|
||||
" <td>Low Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>4</th>\n",
|
||||
" <td>PN446914</td>\n",
|
||||
" <td>3.379522e+09</td>\n",
|
||||
" <td>2378</td>\n",
|
||||
" <td>3.512353e+09</td>\n",
|
||||
" <td>2454</td>\n",
|
||||
" <td>SME</td>\n",
|
||||
" <td>Low Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>...</th>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>10009</th>\n",
|
||||
" <td>PN723207</td>\n",
|
||||
" <td>4.765892e+07</td>\n",
|
||||
" <td>298</td>\n",
|
||||
" <td>2.651826e+07</td>\n",
|
||||
" <td>378</td>\n",
|
||||
" <td>Ultra High NetWorth</td>\n",
|
||||
" <td>Low Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>10010</th>\n",
|
||||
" <td>PN860773</td>\n",
|
||||
" <td>3.537672e+07</td>\n",
|
||||
" <td>256</td>\n",
|
||||
" <td>2.578618e+07</td>\n",
|
||||
" <td>363</td>\n",
|
||||
" <td>Others</td>\n",
|
||||
" <td>Low Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>10011</th>\n",
|
||||
" <td>PN741843</td>\n",
|
||||
" <td>3.787797e+07</td>\n",
|
||||
" <td>255</td>\n",
|
||||
" <td>2.909541e+07</td>\n",
|
||||
" <td>346</td>\n",
|
||||
" <td>Priority Banking</td>\n",
|
||||
" <td>Medium Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>10012</th>\n",
|
||||
" <td>PN588393</td>\n",
|
||||
" <td>3.567320e+07</td>\n",
|
||||
" <td>254</td>\n",
|
||||
" <td>2.676294e+07</td>\n",
|
||||
" <td>391</td>\n",
|
||||
" <td>Mass Market</td>\n",
|
||||
" <td>Low Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>10013</th>\n",
|
||||
" <td>PN168372</td>\n",
|
||||
" <td>3.166679e+07</td>\n",
|
||||
" <td>253</td>\n",
|
||||
" <td>2.707380e+07</td>\n",
|
||||
" <td>355</td>\n",
|
||||
" <td>Mass Market</td>\n",
|
||||
" <td>Low Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"<p>10014 rows × 8 columns</p>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
" Focal_id Credit_transaction_amount Total_no_of_credit_transactions \\\n",
|
||||
"0 PN182121 1.644268e+09 1168 \n",
|
||||
"1 PN476208 2.792031e+09 1993 \n",
|
||||
"2 PN413985 3.621153e+09 2438 \n",
|
||||
"3 PN906130 1.666937e+09 1222 \n",
|
||||
"4 PN446914 3.379522e+09 2378 \n",
|
||||
"... ... ... ... \n",
|
||||
"10009 PN723207 4.765892e+07 298 \n",
|
||||
"10010 PN860773 3.537672e+07 256 \n",
|
||||
"10011 PN741843 3.787797e+07 255 \n",
|
||||
"10012 PN588393 3.567320e+07 254 \n",
|
||||
"10013 PN168372 3.166679e+07 253 \n",
|
||||
"\n",
|
||||
" Debit_transaction_amount Total_no_of_debit_transactions \\\n",
|
||||
"0 1.717572e+09 1198 \n",
|
||||
"1 2.777591e+09 2010 \n",
|
||||
"2 3.290559e+09 2375 \n",
|
||||
"3 1.756952e+09 1177 \n",
|
||||
"4 3.512353e+09 2454 \n",
|
||||
"... ... ... \n",
|
||||
"10009 2.651826e+07 378 \n",
|
||||
"10010 2.578618e+07 363 \n",
|
||||
"10011 2.909541e+07 346 \n",
|
||||
"10012 2.676294e+07 391 \n",
|
||||
"10013 2.707380e+07 355 \n",
|
||||
"\n",
|
||||
" Segment Risk SAR_FLAG \n",
|
||||
"0 SME Low Risk N \n",
|
||||
"1 Whole Sale Banking Low Risk N \n",
|
||||
"2 SME High Risk N \n",
|
||||
"3 Whole Sale Banking Low Risk N \n",
|
||||
"4 SME Low Risk N \n",
|
||||
"... ... ... ... \n",
|
||||
"10009 Ultra High NetWorth Low Risk N \n",
|
||||
"10010 Others Low Risk N \n",
|
||||
"10011 Priority Banking Medium Risk N \n",
|
||||
"10012 Mass Market Low Risk N \n",
|
||||
"10013 Mass Market Low Risk N \n",
|
||||
"\n",
|
||||
"[10014 rows x 8 columns]"
|
||||
]
|
||||
},
|
||||
"execution_count": 3,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# sen = Scenario()\n",
|
||||
"# sen.logic()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "2f8eee99-046e-4d56-afb8-9007fdc2f5b2",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.8"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
|
||||
122
main.py
Normal file
122
main.py
Normal file
@ -0,0 +1,122 @@
|
||||
#!/usr/bin/env python
|
||||
# coding: utf-8
|
||||
|
||||
# In[2]:
|
||||
|
||||
|
||||
import pandas as pd
|
||||
|
||||
query = """
|
||||
select final.CUSTOMER_NUMBER_main as Focal_id,
|
||||
final.Credit_transaction_amount,
|
||||
final.Total_no_of_credit_transactions,
|
||||
final.Debit_transaction_amount,
|
||||
final.Total_no_of_debit_transactions,
|
||||
final.SEGMENT,
|
||||
final.RISK,
|
||||
final.SAR_FLAG
|
||||
from
|
||||
(
|
||||
(
|
||||
select subquery.CUSTOMER_NUMBER_1 as CUSTOMER_NUMBER_main,
|
||||
subquery.Credit_transaction_amount,
|
||||
subquery.Total_no_of_credit_transactions,
|
||||
case
|
||||
when subquery.Debit_transaction_amount is NULL then 0
|
||||
else Debit_transaction_amount
|
||||
end as Debit_transaction_amount,
|
||||
case
|
||||
when subquery.Total_no_of_debit_transactions is NULL then 0
|
||||
else Total_no_of_debit_transactions
|
||||
end as Total_no_of_debit_transactions
|
||||
from
|
||||
(
|
||||
(
|
||||
select customer_number as CUSTOMER_NUMBER_1,
|
||||
sum(transaction_amount) as Credit_transaction_amount,
|
||||
count(*) as Total_no_of_credit_transactions
|
||||
from
|
||||
(
|
||||
select *
|
||||
from {trans_data} trans_table left join {acc_data} acc_table
|
||||
on trans_table.benef_account_number = acc_table.account_number
|
||||
)
|
||||
where account_number not in ('None')
|
||||
group by 1
|
||||
) credit left join
|
||||
(
|
||||
select customer_number as CUSTOMER_NUMBER_2,
|
||||
sum(transaction_amount) as Debit_transaction_amount,
|
||||
count(*) as Total_no_of_debit_transactions
|
||||
from
|
||||
(
|
||||
select *
|
||||
from {trans_data} trans_table left join {acc_data} acc_table
|
||||
on trans_table.orig_account_number = acc_table.account_number
|
||||
)
|
||||
where account_number not in ('None')
|
||||
group by 1
|
||||
) debit on credit.CUSTOMER_NUMBER_1 = debit.CUSTOMER_NUMBER_2
|
||||
) subquery
|
||||
) main left join
|
||||
(
|
||||
select subquery.CUSTOMER_NUMBER_3 as CUSTOMER_NUMBER_cust,
|
||||
subquery.SEGMENT,
|
||||
subquery.RISK,
|
||||
case
|
||||
when subquery.SAR_FLAG is NULL then 'N'
|
||||
else subquery.SAR_FLAG
|
||||
end as SAR_FLAG
|
||||
from
|
||||
(
|
||||
(
|
||||
select customer_number as CUSTOMER_NUMBER_3,
|
||||
business_segment as SEGMENT,
|
||||
case
|
||||
when RISK_CLASSIFICATION = 1 then 'Low Risk'
|
||||
when RISK_CLASSIFICATION = 2 then 'Medium Risk'
|
||||
when RISK_CLASSIFICATION = 3 then 'High Risk'
|
||||
else 'Unknown Risk'
|
||||
end AS RISK
|
||||
from {cust_data}
|
||||
) cd left join
|
||||
(
|
||||
select customer_number as CUSTOMER_NUMBER_4,
|
||||
sar_flag as SAR_FLAG
|
||||
from {alert_data}
|
||||
) ad on cd.CUSTOMER_NUMBER_3 = ad.CUSTOMER_NUMBER_4
|
||||
) subquery
|
||||
) cust_alert on cust_alert.CUSTOMER_NUMBER_cust = main.CUSTOMER_NUMBER_main
|
||||
) final
|
||||
"""
|
||||
|
||||
from tms_data_interface import SQLQueryInterface
|
||||
|
||||
class Scenario:
|
||||
seq = SQLQueryInterface(schema="transactionschema")
|
||||
|
||||
def logic(self, **kwargs):
|
||||
row_list = self.seq.execute_raw(query.format(trans_data="transaction10m",
|
||||
cust_data="customer_data_v1",
|
||||
acc_data="account_data_v1",
|
||||
alert_data="alert_data_v1")
|
||||
)
|
||||
cols = ["Focal_id", "Credit_transaction_amount", "Total_no_of_credit_transactions",
|
||||
"Debit_transaction_amount", "Total_no_of_debit_transactions",
|
||||
"Segment", "Risk", "SAR_FLAG"]
|
||||
df = pd.DataFrame(row_list, columns = cols)
|
||||
return df
|
||||
|
||||
|
||||
# In[3]:
|
||||
|
||||
|
||||
# sen = Scenario()
|
||||
# sen.logic()
|
||||
|
||||
|
||||
# In[ ]:
|
||||
|
||||
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user