generated from dhairya/scenario_template
System save at 07/11/2024 15:25 by user_client2024
This commit is contained in:
user_client2024
parent
2b6b23b4a6
commit
0d638798e8
188
.ipynb_checkpoints/main-checkpoint.ipynb
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188
.ipynb_checkpoints/main-checkpoint.ipynb
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@ -0,0 +1,188 @@
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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": [
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"import pandas as pd"
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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": "77134554-e1dc-4e5b-aaa2-bb432789aa01",
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"metadata": {},
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"outputs": [],
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"source": [
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"from tms_data_interface import SQLQueryInterface\n",
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"seq = SQLQueryInterface(schema=\"transactionschema\")"
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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": "9a13f2ec-d02f-4151-9d9a-17edd4f29063",
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"metadata": {},
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"outputs": [],
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"source": [
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"seq.execute_raw(\"show tables\")"
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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": "32c443d5-c51f-425c-be6f-bcd8c9908ef4",
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"metadata": {},
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"outputs": [],
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"source": [
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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.Wash_Ratio,\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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" case\n",
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" when subquery.Debit_transaction_amount = 0\n",
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" or subquery.Debit_transaction_amount is NULL then 0\n",
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" else subquery.Credit_transaction_amount / subquery.Debit_transaction_amount\n",
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" end as Wash_Ratio\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} as trans_table left join {acc_data} as 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} as trans_table left join {acc_data} as 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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"\"\"\""
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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": "c34dc466-7bb5-471e-b0c5-0bfcd81b761c",
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"metadata": {},
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"outputs": [],
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"source": [
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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\",\n",
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" \"Total_no_of_credit_transactions\",\n",
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" \"Debit_transaction_amount\", \"Total_no_of_debit_transactions\",\n",
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" \"Wash_Ratio\", \"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": null,
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"id": "406349d3-a6d0-4790-9b04-19dc6ce01827",
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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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221
main.ipynb
221
main.ipynb
@ -1,33 +1,188 @@
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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": 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": [
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"import pandas as pd"
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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": "77134554-e1dc-4e5b-aaa2-bb432789aa01",
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"metadata": {},
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"outputs": [],
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"source": [
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"from tms_data_interface import SQLQueryInterface\n",
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"seq = SQLQueryInterface(schema=\"transactionschema\")"
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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": "9a13f2ec-d02f-4151-9d9a-17edd4f29063",
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"metadata": {},
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"outputs": [],
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"source": [
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"seq.execute_raw(\"show tables\")"
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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": "32c443d5-c51f-425c-be6f-bcd8c9908ef4",
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"metadata": {},
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"outputs": [],
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"source": [
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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.Wash_Ratio,\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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" case\n",
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" when subquery.Debit_transaction_amount = 0\n",
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" or subquery.Debit_transaction_amount is NULL then 0\n",
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" else subquery.Credit_transaction_amount / subquery.Debit_transaction_amount\n",
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" end as Wash_Ratio\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} as trans_table left join {acc_data} as 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} as trans_table left join {acc_data} as 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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"\"\"\""
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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": "c34dc466-7bb5-471e-b0c5-0bfcd81b761c",
|
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"metadata": {},
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"outputs": [],
|
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"source": [
|
||||
"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\",\n",
|
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" \"Total_no_of_credit_transactions\",\n",
|
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" \"Debit_transaction_amount\", \"Total_no_of_debit_transactions\",\n",
|
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" \"Wash_Ratio\", \"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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{
|
||||
"cell_type": "code",
|
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"execution_count": null,
|
||||
"id": "406349d3-a6d0-4790-9b04-19dc6ce01827",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
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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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},
|
||||
"file_extension": ".py",
|
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"mimetype": "text/x-python",
|
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"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"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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143
main.py
Normal file
143
main.py
Normal file
@ -0,0 +1,143 @@
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#!/usr/bin/env python
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# coding: utf-8
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# In[ ]:
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import pandas as pd
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# In[ ]:
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from tms_data_interface import SQLQueryInterface
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seq = SQLQueryInterface(schema="transactionschema")
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# In[ ]:
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seq.execute_raw("show tables")
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# In[ ]:
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query = """
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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.Wash_Ratio,
|
||||
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,
|
||||
case
|
||||
when subquery.Debit_transaction_amount = 0
|
||||
or subquery.Debit_transaction_amount is NULL then 0
|
||||
else subquery.Credit_transaction_amount / subquery.Debit_transaction_amount
|
||||
end as Wash_Ratio
|
||||
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} as trans_table left join {acc_data} as 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} as trans_table left join {acc_data} as 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
|
||||
"""
|
||||
|
||||
|
||||
# In[ ]:
|
||||
|
||||
|
||||
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",
|
||||
"Wash_Ratio", "Segment", "Risk", "SAR_FLAG"]
|
||||
df = pd.DataFrame(row_list, columns = cols)
|
||||
return df
|
||||
|
||||
|
||||
# In[ ]:
|
||||
|
||||
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user