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Initial commit
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230
.ipynb_checkpoints/main-checkpoint.ipynb
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230
.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": 3,
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||||||
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"id": "e706cfb0-2234-4c4c-95d8-d1968f656aa0",
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||||||
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"metadata": {
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||||||
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"tags": []
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||||||
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},
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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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" CAST(final.Cash_deposit_total AS DECIMAL(18, 2)) AS Cash_deposit_total,\n",
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" final.Cash_deposit_count,\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.Cash_deposit_total,\n",
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" subquery.Cash_deposit_count\n",
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" from \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 Cash_deposit_total, \n",
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" count(*) as Cash_deposit_count\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 \n",
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" 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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" ) trans\n",
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" where account_number not in ('None')\n",
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" and transaction_desc = 'CASH RELATED TRANSACTION'\n",
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" group by customer_number\n",
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" ) subquery\n",
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" ) main \n",
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" left join \n",
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" (\n",
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" select cd.CUSTOMER_NUMBER_3 as CUSTOMER_NUMBER_cust,\n",
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" cd.SEGMENT,\n",
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" cd.RISK,\n",
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" case\n",
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" when ad.SAR_FLAG is NULL then 'N'\n",
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" else ad.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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" 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 \n",
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" 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 \n",
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" on cd.CUSTOMER_NUMBER_3 = ad.CUSTOMER_NUMBER_4\n",
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" ) as cust_alert\n",
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" on cust_alert.CUSTOMER_NUMBER_cust = main.CUSTOMER_NUMBER_main\n",
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") as 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\", \"Cash_deposit_total\", \"Cash_deposit_count\",\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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" df[\"Cash_deposit_total\"] = df[\"Cash_deposit_total\"].astype(float)\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": 6,
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"id": "b6c85de2-6a47-4109-8885-c138c289ec25",
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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 \n",
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"# t.transaction_id,\n",
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"# t.transaction_date,\n",
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"# t.transaction_amount,\n",
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"# t.transaction_desc,\n",
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"# t.benef_account_number,\n",
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"\n",
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"# -- Account data\n",
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"# a.account_number,\n",
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"# a.customer_number AS acc_customer_number,\n",
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"# a.account_type,\n",
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"# a.branch_code,\n",
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"\n",
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"# -- Party data\n",
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"# p.customer_number AS party_customer_number,\n",
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"# p.customer_name,\n",
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"# p.date_of_birth,\n",
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"# p.nationality,\n",
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"# p.business_segment,\n",
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"# CASE\n",
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"# WHEN p.risk_classification = 1 THEN 'Low Risk'\n",
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"# WHEN p.risk_classification = 2 THEN 'Medium Risk'\n",
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"# WHEN p.risk_classification = 3 THEN 'High Risk'\n",
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"# ELSE 'Unknown Risk'\n",
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"# END AS risk_level,\n",
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"\n",
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"# -- Alert data\n",
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"# COALESCE(al.sar_flag, 'N') AS sar_flag\n",
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"\n",
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"# FROM {trans_data} t\n",
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"\n",
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"# -- Join with account data on beneficiary account\n",
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"# LEFT JOIN {acc_data} a\n",
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"# ON t.benef_account_number = a.account_number\n",
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"\n",
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"# -- Join with party/customer data using account's customer number\n",
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"# LEFT JOIN {cust_data} p\n",
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"# ON a.customer_number = p.customer_number\n",
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"\n",
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"# -- Join with alert data using party's customer number\n",
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"# LEFT JOIN {alert_data} al\n",
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"# ON p.customer_number = al.customer_number\n",
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"\n",
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"# WHERE a.account_number IS NOT NULL\n",
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"# limit 100\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 = [\n",
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"# \"transaction_id\",\n",
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"# \"transaction_date\",\n",
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"# \"transaction_amount\",\n",
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"# \"transaction_desc\",\n",
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"# \"benef_account_number\",\n",
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"# \"account_number\",\n",
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"# \"acc_customer_number\",\n",
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"# \"account_type\",\n",
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"# \"branch_code\",\n",
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"# \"party_customer_number\",\n",
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"# \"customer_name\",\n",
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"# \"date_of_birth\",\n",
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"# \"nationality\",\n",
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"# \"business_segment\",\n",
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"# \"risk_level\",\n",
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"# \"sar_flag\"\n",
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"# ]\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": 5,
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||||||
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"id": "1f20337b-8116-47e5-8743-1ba41e2df819",
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"metadata": {
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||||||
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"tags": []
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},
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"outputs": [],
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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": "6de62b37-00d1-4c88-b27b-9a70e05add91",
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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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230
main.ipynb
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230
main.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": 3,
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||||||
|
"id": "e706cfb0-2234-4c4c-95d8-d1968f656aa0",
|
||||||
|
"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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|
" CAST(final.Cash_deposit_total AS DECIMAL(18, 2)) AS Cash_deposit_total,\n",
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" final.Cash_deposit_count,\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.Cash_deposit_total,\n",
|
||||||
|
" subquery.Cash_deposit_count\n",
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||||||
|
" from \n",
|
||||||
|
" (\n",
|
||||||
|
" select customer_number as CUSTOMER_NUMBER_1, \n",
|
||||||
|
" sum(transaction_amount) as Cash_deposit_total, \n",
|
||||||
|
" count(*) as Cash_deposit_count\n",
|
||||||
|
" from \n",
|
||||||
|
" (\n",
|
||||||
|
" select * \n",
|
||||||
|
" from {trans_data} trans_table \n",
|
||||||
|
" left join {acc_data} acc_table\n",
|
||||||
|
" on trans_table.benef_account_number = acc_table.account_number\n",
|
||||||
|
" ) trans\n",
|
||||||
|
" where account_number not in ('None')\n",
|
||||||
|
" and transaction_desc = 'CASH RELATED TRANSACTION'\n",
|
||||||
|
" group by customer_number\n",
|
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|
" ) subquery\n",
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|
" ) main \n",
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|
" left join \n",
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" (\n",
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|
" select cd.CUSTOMER_NUMBER_3 as CUSTOMER_NUMBER_cust,\n",
|
||||||
|
" cd.SEGMENT,\n",
|
||||||
|
" cd.RISK,\n",
|
||||||
|
" case\n",
|
||||||
|
" when ad.SAR_FLAG is NULL then 'N'\n",
|
||||||
|
" else ad.SAR_FLAG\n",
|
||||||
|
" end as SAR_FLAG \n",
|
||||||
|
" from\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 \n",
|
||||||
|
" left join\n",
|
||||||
|
" (\n",
|
||||||
|
" select customer_number as CUSTOMER_NUMBER_4, \n",
|
||||||
|
" sar_flag as SAR_FLAG\n",
|
||||||
|
" from {alert_data}\n",
|
||||||
|
" ) ad \n",
|
||||||
|
" on cd.CUSTOMER_NUMBER_3 = ad.CUSTOMER_NUMBER_4\n",
|
||||||
|
" ) as cust_alert\n",
|
||||||
|
" on cust_alert.CUSTOMER_NUMBER_cust = main.CUSTOMER_NUMBER_main\n",
|
||||||
|
") as 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\", \"Cash_deposit_total\", \"Cash_deposit_count\",\n",
|
||||||
|
" \"Segment\", \"Risk\", \"SAR_FLAG\"]\n",
|
||||||
|
" df = pd.DataFrame(row_list, columns = cols)\n",
|
||||||
|
" df[\"Cash_deposit_total\"] = df[\"Cash_deposit_total\"].astype(float)\n",
|
||||||
|
" return df"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 6,
|
||||||
|
"id": "b6c85de2-6a47-4109-8885-c138c289ec25",
|
||||||
|
"metadata": {
|
||||||
|
"tags": []
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"# import pandas as pd\n",
|
||||||
|
"\n",
|
||||||
|
"# query = \"\"\"\n",
|
||||||
|
"# SELECT \n",
|
||||||
|
"# t.transaction_id,\n",
|
||||||
|
"# t.transaction_date,\n",
|
||||||
|
"# t.transaction_amount,\n",
|
||||||
|
"# t.transaction_desc,\n",
|
||||||
|
"# t.benef_account_number,\n",
|
||||||
|
"\n",
|
||||||
|
"# -- Account data\n",
|
||||||
|
"# a.account_number,\n",
|
||||||
|
"# a.customer_number AS acc_customer_number,\n",
|
||||||
|
"# a.account_type,\n",
|
||||||
|
"# a.branch_code,\n",
|
||||||
|
"\n",
|
||||||
|
"# -- Party data\n",
|
||||||
|
"# p.customer_number AS party_customer_number,\n",
|
||||||
|
"# p.customer_name,\n",
|
||||||
|
"# p.date_of_birth,\n",
|
||||||
|
"# p.nationality,\n",
|
||||||
|
"# p.business_segment,\n",
|
||||||
|
"# CASE\n",
|
||||||
|
"# WHEN p.risk_classification = 1 THEN 'Low Risk'\n",
|
||||||
|
"# WHEN p.risk_classification = 2 THEN 'Medium Risk'\n",
|
||||||
|
"# WHEN p.risk_classification = 3 THEN 'High Risk'\n",
|
||||||
|
"# ELSE 'Unknown Risk'\n",
|
||||||
|
"# END AS risk_level,\n",
|
||||||
|
"\n",
|
||||||
|
"# -- Alert data\n",
|
||||||
|
"# COALESCE(al.sar_flag, 'N') AS sar_flag\n",
|
||||||
|
"\n",
|
||||||
|
"# FROM {trans_data} t\n",
|
||||||
|
"\n",
|
||||||
|
"# -- Join with account data on beneficiary account\n",
|
||||||
|
"# LEFT JOIN {acc_data} a\n",
|
||||||
|
"# ON t.benef_account_number = a.account_number\n",
|
||||||
|
"\n",
|
||||||
|
"# -- Join with party/customer data using account's customer number\n",
|
||||||
|
"# LEFT JOIN {cust_data} p\n",
|
||||||
|
"# ON a.customer_number = p.customer_number\n",
|
||||||
|
"\n",
|
||||||
|
"# -- Join with alert data using party's customer number\n",
|
||||||
|
"# LEFT JOIN {alert_data} al\n",
|
||||||
|
"# ON p.customer_number = al.customer_number\n",
|
||||||
|
"\n",
|
||||||
|
"# WHERE a.account_number IS NOT NULL\n",
|
||||||
|
"# limit 100\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 = [\n",
|
||||||
|
"# \"transaction_id\",\n",
|
||||||
|
"# \"transaction_date\",\n",
|
||||||
|
"# \"transaction_amount\",\n",
|
||||||
|
"# \"transaction_desc\",\n",
|
||||||
|
"# \"benef_account_number\",\n",
|
||||||
|
"# \"account_number\",\n",
|
||||||
|
"# \"acc_customer_number\",\n",
|
||||||
|
"# \"account_type\",\n",
|
||||||
|
"# \"branch_code\",\n",
|
||||||
|
"# \"party_customer_number\",\n",
|
||||||
|
"# \"customer_name\",\n",
|
||||||
|
"# \"date_of_birth\",\n",
|
||||||
|
"# \"nationality\",\n",
|
||||||
|
"# \"business_segment\",\n",
|
||||||
|
"# \"risk_level\",\n",
|
||||||
|
"# \"sar_flag\"\n",
|
||||||
|
"# ]\n",
|
||||||
|
"# df = pd.DataFrame(row_list, columns = cols)\n",
|
||||||
|
"# return df"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 5,
|
||||||
|
"id": "1f20337b-8116-47e5-8743-1ba41e2df819",
|
||||||
|
"metadata": {
|
||||||
|
"tags": []
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"# sen = Scenario()\n",
|
||||||
|
"# sen.logic()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "6de62b37-00d1-4c88-b27b-9a70e05add91",
|
||||||
|
"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
|
||||||
|
}
|
||||||
187
main.py
Normal file
187
main.py
Normal file
@ -0,0 +1,187 @@
|
|||||||
|
#!/usr/bin/env python
|
||||||
|
# coding: utf-8
|
||||||
|
|
||||||
|
# In[3]:
|
||||||
|
|
||||||
|
|
||||||
|
import pandas as pd
|
||||||
|
|
||||||
|
query = """
|
||||||
|
select final.CUSTOMER_NUMBER_main as Focal_id,
|
||||||
|
CAST(final.Cash_deposit_total AS DECIMAL(18, 2)) AS Cash_deposit_total,
|
||||||
|
final.Cash_deposit_count,
|
||||||
|
final.SEGMENT,
|
||||||
|
final.RISK,
|
||||||
|
final.SAR_FLAG
|
||||||
|
from
|
||||||
|
(
|
||||||
|
(
|
||||||
|
select subquery.CUSTOMER_NUMBER_1 as CUSTOMER_NUMBER_main,
|
||||||
|
subquery.Cash_deposit_total,
|
||||||
|
subquery.Cash_deposit_count
|
||||||
|
from
|
||||||
|
(
|
||||||
|
select customer_number as CUSTOMER_NUMBER_1,
|
||||||
|
sum(transaction_amount) as Cash_deposit_total,
|
||||||
|
count(*) as Cash_deposit_count
|
||||||
|
from
|
||||||
|
(
|
||||||
|
select *
|
||||||
|
from {trans_data} trans_table
|
||||||
|
left join {acc_data} acc_table
|
||||||
|
on trans_table.benef_account_number = acc_table.account_number
|
||||||
|
) trans
|
||||||
|
where account_number not in ('None')
|
||||||
|
and transaction_desc = 'CASH RELATED TRANSACTION'
|
||||||
|
group by customer_number
|
||||||
|
) subquery
|
||||||
|
) main
|
||||||
|
left join
|
||||||
|
(
|
||||||
|
select cd.CUSTOMER_NUMBER_3 as CUSTOMER_NUMBER_cust,
|
||||||
|
cd.SEGMENT,
|
||||||
|
cd.RISK,
|
||||||
|
case
|
||||||
|
when ad.SAR_FLAG is NULL then 'N'
|
||||||
|
else ad.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
|
||||||
|
) as cust_alert
|
||||||
|
on cust_alert.CUSTOMER_NUMBER_cust = main.CUSTOMER_NUMBER_main
|
||||||
|
) as 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", "Cash_deposit_total", "Cash_deposit_count",
|
||||||
|
"Segment", "Risk", "SAR_FLAG"]
|
||||||
|
df = pd.DataFrame(row_list, columns = cols)
|
||||||
|
df["Cash_deposit_total"] = df["Cash_deposit_total"].astype(float)
|
||||||
|
return df
|
||||||
|
|
||||||
|
|
||||||
|
# In[6]:
|
||||||
|
|
||||||
|
|
||||||
|
# import pandas as pd
|
||||||
|
|
||||||
|
# query = """
|
||||||
|
# SELECT
|
||||||
|
# t.transaction_id,
|
||||||
|
# t.transaction_date,
|
||||||
|
# t.transaction_amount,
|
||||||
|
# t.transaction_desc,
|
||||||
|
# t.benef_account_number,
|
||||||
|
|
||||||
|
# -- Account data
|
||||||
|
# a.account_number,
|
||||||
|
# a.customer_number AS acc_customer_number,
|
||||||
|
# a.account_type,
|
||||||
|
# a.branch_code,
|
||||||
|
|
||||||
|
# -- Party data
|
||||||
|
# p.customer_number AS party_customer_number,
|
||||||
|
# p.customer_name,
|
||||||
|
# p.date_of_birth,
|
||||||
|
# p.nationality,
|
||||||
|
# p.business_segment,
|
||||||
|
# CASE
|
||||||
|
# WHEN p.risk_classification = 1 THEN 'Low Risk'
|
||||||
|
# WHEN p.risk_classification = 2 THEN 'Medium Risk'
|
||||||
|
# WHEN p.risk_classification = 3 THEN 'High Risk'
|
||||||
|
# ELSE 'Unknown Risk'
|
||||||
|
# END AS risk_level,
|
||||||
|
|
||||||
|
# -- Alert data
|
||||||
|
# COALESCE(al.sar_flag, 'N') AS sar_flag
|
||||||
|
|
||||||
|
# FROM {trans_data} t
|
||||||
|
|
||||||
|
# -- Join with account data on beneficiary account
|
||||||
|
# LEFT JOIN {acc_data} a
|
||||||
|
# ON t.benef_account_number = a.account_number
|
||||||
|
|
||||||
|
# -- Join with party/customer data using account's customer number
|
||||||
|
# LEFT JOIN {cust_data} p
|
||||||
|
# ON a.customer_number = p.customer_number
|
||||||
|
|
||||||
|
# -- Join with alert data using party's customer number
|
||||||
|
# LEFT JOIN {alert_data} al
|
||||||
|
# ON p.customer_number = al.customer_number
|
||||||
|
|
||||||
|
# WHERE a.account_number IS NOT NULL
|
||||||
|
# limit 100
|
||||||
|
# """
|
||||||
|
|
||||||
|
# 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 = [
|
||||||
|
# "transaction_id",
|
||||||
|
# "transaction_date",
|
||||||
|
# "transaction_amount",
|
||||||
|
# "transaction_desc",
|
||||||
|
# "benef_account_number",
|
||||||
|
# "account_number",
|
||||||
|
# "acc_customer_number",
|
||||||
|
# "account_type",
|
||||||
|
# "branch_code",
|
||||||
|
# "party_customer_number",
|
||||||
|
# "customer_name",
|
||||||
|
# "date_of_birth",
|
||||||
|
# "nationality",
|
||||||
|
# "business_segment",
|
||||||
|
# "risk_level",
|
||||||
|
# "sar_flag"
|
||||||
|
# ]
|
||||||
|
# df = pd.DataFrame(row_list, columns = cols)
|
||||||
|
# return df
|
||||||
|
|
||||||
|
|
||||||
|
# In[5]:
|
||||||
|
|
||||||
|
|
||||||
|
# sen = Scenario()
|
||||||
|
# sen.logic()
|
||||||
|
|
||||||
|
|
||||||
|
# In[ ]:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
Loading…
Reference in New Issue
Block a user