generated from dhairya/scenario_template
System save at 09/10/2024 09:29 by user_client2024
This commit is contained in:
user_client2024
parent
31cf85e626
commit
e040f6942e
447
.ipynb_checkpoints/main-checkpoint.ipynb
Normal file
447
.ipynb_checkpoints/main-checkpoint.ipynb
Normal file
@ -0,0 +1,447 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"id": "e706cfb0-2234-4c4c-95d8-d1968f656aa0",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import pandas as pd"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"id": "2f9a4ca7-c066-4d93-9957-0d9145f9265d",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from tms_data_interface import SQLQueryInterface\n",
|
||||
"seq = SQLQueryInterface(schema=\"transactionschema\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"id": "fc212ace-ca7a-45f2-8137-f436c6123652",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[['account_data_v1'],\n",
|
||||
" ['account_data_v2'],\n",
|
||||
" ['alert_data_v1'],\n",
|
||||
" ['alert_data_v2'],\n",
|
||||
" ['customer_data_v1'],\n",
|
||||
" ['customer_data_v2'],\n",
|
||||
" ['transaction10m'],\n",
|
||||
" ['transaction60m']]"
|
||||
]
|
||||
},
|
||||
"execution_count": 6,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"seq.execute_raw(\"show tables\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"id": "134d0b3d-5481-4975-af07-c80ab09d6dd2",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"query = \"\"\"\n",
|
||||
" select final.CUSTOMER_NUMBER_main as Focal_id,\n",
|
||||
" final.Credit_transaction_amount,\n",
|
||||
" final.Total_no_of_credit_transactions,\n",
|
||||
" final.Debit_transaction_amount,\n",
|
||||
" final.Total_no_of_debit_transactions,\n",
|
||||
" final.Wash_Ratio,\n",
|
||||
" final.SEGMENT,\n",
|
||||
" final.RISK,\n",
|
||||
" 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",
|
||||
" case\n",
|
||||
" when subquery.Debit_transaction_amount = 0\n",
|
||||
" or subquery.Debit_transaction_amount is NULL then 0\n",
|
||||
" else subquery.Credit_transaction_amount / subquery.Debit_transaction_amount\n",
|
||||
" end as Wash_Ratio\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} as trans_table left join {acc_data} as 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} as trans_table left join {acc_data} as 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",
|
||||
"\"\"\""
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"id": "d220561a-34c9-48d2-8e2f-5d174a87540b",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"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\",\n",
|
||||
" \"Total_no_of_credit_transactions\",\n",
|
||||
" \"Debit_transaction_amount\", \"Total_no_of_debit_transactions\",\n",
|
||||
" \"Wash_Ratio\", \"Segment\", \"Risk\", \"SAR_FLAG\"]\n",
|
||||
" df = pd.DataFrame(row_list, columns = cols)\n",
|
||||
" return df"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"id": "2e5a0ea9-64cd-4a8d-9a5d-e5e7b36a401a",
|
||||
"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>Wash_Ratio</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>PN808624</td>\n",
|
||||
" <td>4.601504e+09</td>\n",
|
||||
" <td>3239</td>\n",
|
||||
" <td>4.461280e+09</td>\n",
|
||||
" <td>3129</td>\n",
|
||||
" <td>1.031431</td>\n",
|
||||
" <td>Corporate Banking</td>\n",
|
||||
" <td>Medium Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1</th>\n",
|
||||
" <td>PN663041</td>\n",
|
||||
" <td>2.106224e+09</td>\n",
|
||||
" <td>1573</td>\n",
|
||||
" <td>2.281829e+09</td>\n",
|
||||
" <td>1563</td>\n",
|
||||
" <td>0.923042</td>\n",
|
||||
" <td>Corporate Banking</td>\n",
|
||||
" <td>Low Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2</th>\n",
|
||||
" <td>PN525913</td>\n",
|
||||
" <td>1.057799e+09</td>\n",
|
||||
" <td>776</td>\n",
|
||||
" <td>1.223876e+09</td>\n",
|
||||
" <td>850</td>\n",
|
||||
" <td>0.864302</td>\n",
|
||||
" <td>Whole Sale Banking</td>\n",
|
||||
" <td>Low Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>3</th>\n",
|
||||
" <td>PN440274</td>\n",
|
||||
" <td>4.806265e+09</td>\n",
|
||||
" <td>3506</td>\n",
|
||||
" <td>4.972813e+09</td>\n",
|
||||
" <td>3599</td>\n",
|
||||
" <td>0.966508</td>\n",
|
||||
" <td>Whole Sale Banking</td>\n",
|
||||
" <td>Medium Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>4</th>\n",
|
||||
" <td>PN213026</td>\n",
|
||||
" <td>3.982349e+09</td>\n",
|
||||
" <td>2809</td>\n",
|
||||
" <td>4.122674e+09</td>\n",
|
||||
" <td>2783</td>\n",
|
||||
" <td>0.965963</td>\n",
|
||||
" <td>Whole Sale Banking</td>\n",
|
||||
" <td>Medium 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",
|
||||
" <td>...</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>10009</th>\n",
|
||||
" <td>PN774741</td>\n",
|
||||
" <td>3.373466e+07</td>\n",
|
||||
" <td>250</td>\n",
|
||||
" <td>2.443148e+07</td>\n",
|
||||
" <td>381</td>\n",
|
||||
" <td>1.380787</td>\n",
|
||||
" <td>Priority Banking</td>\n",
|
||||
" <td>Medium Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>10010</th>\n",
|
||||
" <td>PN868326</td>\n",
|
||||
" <td>3.785344e+07</td>\n",
|
||||
" <td>259</td>\n",
|
||||
" <td>2.408309e+07</td>\n",
|
||||
" <td>352</td>\n",
|
||||
" <td>1.571785</td>\n",
|
||||
" <td>Ultra High NetWorth</td>\n",
|
||||
" <td>Medium Risk</td>\n",
|
||||
" <td>Y</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>10011</th>\n",
|
||||
" <td>PN667837</td>\n",
|
||||
" <td>3.330357e+07</td>\n",
|
||||
" <td>256</td>\n",
|
||||
" <td>2.676301e+07</td>\n",
|
||||
" <td>359</td>\n",
|
||||
" <td>1.244388</td>\n",
|
||||
" <td>Mass Market</td>\n",
|
||||
" <td>Medium Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>10012</th>\n",
|
||||
" <td>PN809566</td>\n",
|
||||
" <td>3.890076e+07</td>\n",
|
||||
" <td>276</td>\n",
|
||||
" <td>2.554121e+07</td>\n",
|
||||
" <td>400</td>\n",
|
||||
" <td>1.523059</td>\n",
|
||||
" <td>Others</td>\n",
|
||||
" <td>Low Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>10013</th>\n",
|
||||
" <td>PN739647</td>\n",
|
||||
" <td>3.505184e+07</td>\n",
|
||||
" <td>223</td>\n",
|
||||
" <td>2.232980e+07</td>\n",
|
||||
" <td>381</td>\n",
|
||||
" <td>1.569734</td>\n",
|
||||
" <td>Others</td>\n",
|
||||
" <td>Low Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"<p>10014 rows × 9 columns</p>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
" Focal_id Credit_transaction_amount Total_no_of_credit_transactions \\\n",
|
||||
"0 PN808624 4.601504e+09 3239 \n",
|
||||
"1 PN663041 2.106224e+09 1573 \n",
|
||||
"2 PN525913 1.057799e+09 776 \n",
|
||||
"3 PN440274 4.806265e+09 3506 \n",
|
||||
"4 PN213026 3.982349e+09 2809 \n",
|
||||
"... ... ... ... \n",
|
||||
"10009 PN774741 3.373466e+07 250 \n",
|
||||
"10010 PN868326 3.785344e+07 259 \n",
|
||||
"10011 PN667837 3.330357e+07 256 \n",
|
||||
"10012 PN809566 3.890076e+07 276 \n",
|
||||
"10013 PN739647 3.505184e+07 223 \n",
|
||||
"\n",
|
||||
" Debit_transaction_amount Total_no_of_debit_transactions Wash_Ratio \\\n",
|
||||
"0 4.461280e+09 3129 1.031431 \n",
|
||||
"1 2.281829e+09 1563 0.923042 \n",
|
||||
"2 1.223876e+09 850 0.864302 \n",
|
||||
"3 4.972813e+09 3599 0.966508 \n",
|
||||
"4 4.122674e+09 2783 0.965963 \n",
|
||||
"... ... ... ... \n",
|
||||
"10009 2.443148e+07 381 1.380787 \n",
|
||||
"10010 2.408309e+07 352 1.571785 \n",
|
||||
"10011 2.676301e+07 359 1.244388 \n",
|
||||
"10012 2.554121e+07 400 1.523059 \n",
|
||||
"10013 2.232980e+07 381 1.569734 \n",
|
||||
"\n",
|
||||
" Segment Risk SAR_FLAG \n",
|
||||
"0 Corporate Banking Medium Risk N \n",
|
||||
"1 Corporate Banking Low Risk N \n",
|
||||
"2 Whole Sale Banking Low Risk N \n",
|
||||
"3 Whole Sale Banking Medium Risk N \n",
|
||||
"4 Whole Sale Banking Medium Risk N \n",
|
||||
"... ... ... ... \n",
|
||||
"10009 Priority Banking Medium Risk N \n",
|
||||
"10010 Ultra High NetWorth Medium Risk Y \n",
|
||||
"10011 Mass Market Medium Risk N \n",
|
||||
"10012 Others Low Risk N \n",
|
||||
"10013 Others Low Risk N \n",
|
||||
"\n",
|
||||
"[10014 rows x 9 columns]"
|
||||
]
|
||||
},
|
||||
"execution_count": 9,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# sen = Scenario()\n",
|
||||
"# sen.logic()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "150bb5ce-6be1-44fc-a606-6d375354626d",
|
||||
"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
|
||||
}
|
||||
480
main.ipynb
480
main.ipynb
@ -1,33 +1,447 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "e706cfb0-2234-4c4c-95d8-d1968f656aa0",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"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"
|
||||
}
|
||||
],
|
||||
"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": "3.8.13"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"id": "e706cfb0-2234-4c4c-95d8-d1968f656aa0",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import pandas as pd"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"id": "2f9a4ca7-c066-4d93-9957-0d9145f9265d",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from tms_data_interface import SQLQueryInterface\n",
|
||||
"seq = SQLQueryInterface(schema=\"transactionschema\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"id": "fc212ace-ca7a-45f2-8137-f436c6123652",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[['account_data_v1'],\n",
|
||||
" ['account_data_v2'],\n",
|
||||
" ['alert_data_v1'],\n",
|
||||
" ['alert_data_v2'],\n",
|
||||
" ['customer_data_v1'],\n",
|
||||
" ['customer_data_v2'],\n",
|
||||
" ['transaction10m'],\n",
|
||||
" ['transaction60m']]"
|
||||
]
|
||||
},
|
||||
"execution_count": 6,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"seq.execute_raw(\"show tables\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"id": "134d0b3d-5481-4975-af07-c80ab09d6dd2",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"query = \"\"\"\n",
|
||||
" select final.CUSTOMER_NUMBER_main as Focal_id,\n",
|
||||
" final.Credit_transaction_amount,\n",
|
||||
" final.Total_no_of_credit_transactions,\n",
|
||||
" final.Debit_transaction_amount,\n",
|
||||
" final.Total_no_of_debit_transactions,\n",
|
||||
" final.Wash_Ratio,\n",
|
||||
" final.SEGMENT,\n",
|
||||
" final.RISK,\n",
|
||||
" 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",
|
||||
" case\n",
|
||||
" when subquery.Debit_transaction_amount = 0\n",
|
||||
" or subquery.Debit_transaction_amount is NULL then 0\n",
|
||||
" else subquery.Credit_transaction_amount / subquery.Debit_transaction_amount\n",
|
||||
" end as Wash_Ratio\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} as trans_table left join {acc_data} as 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} as trans_table left join {acc_data} as 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",
|
||||
"\"\"\""
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"id": "d220561a-34c9-48d2-8e2f-5d174a87540b",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"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\",\n",
|
||||
" \"Total_no_of_credit_transactions\",\n",
|
||||
" \"Debit_transaction_amount\", \"Total_no_of_debit_transactions\",\n",
|
||||
" \"Wash_Ratio\", \"Segment\", \"Risk\", \"SAR_FLAG\"]\n",
|
||||
" df = pd.DataFrame(row_list, columns = cols)\n",
|
||||
" return df"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"id": "2e5a0ea9-64cd-4a8d-9a5d-e5e7b36a401a",
|
||||
"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>Wash_Ratio</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>PN808624</td>\n",
|
||||
" <td>4.601504e+09</td>\n",
|
||||
" <td>3239</td>\n",
|
||||
" <td>4.461280e+09</td>\n",
|
||||
" <td>3129</td>\n",
|
||||
" <td>1.031431</td>\n",
|
||||
" <td>Corporate Banking</td>\n",
|
||||
" <td>Medium Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1</th>\n",
|
||||
" <td>PN663041</td>\n",
|
||||
" <td>2.106224e+09</td>\n",
|
||||
" <td>1573</td>\n",
|
||||
" <td>2.281829e+09</td>\n",
|
||||
" <td>1563</td>\n",
|
||||
" <td>0.923042</td>\n",
|
||||
" <td>Corporate Banking</td>\n",
|
||||
" <td>Low Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2</th>\n",
|
||||
" <td>PN525913</td>\n",
|
||||
" <td>1.057799e+09</td>\n",
|
||||
" <td>776</td>\n",
|
||||
" <td>1.223876e+09</td>\n",
|
||||
" <td>850</td>\n",
|
||||
" <td>0.864302</td>\n",
|
||||
" <td>Whole Sale Banking</td>\n",
|
||||
" <td>Low Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>3</th>\n",
|
||||
" <td>PN440274</td>\n",
|
||||
" <td>4.806265e+09</td>\n",
|
||||
" <td>3506</td>\n",
|
||||
" <td>4.972813e+09</td>\n",
|
||||
" <td>3599</td>\n",
|
||||
" <td>0.966508</td>\n",
|
||||
" <td>Whole Sale Banking</td>\n",
|
||||
" <td>Medium Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>4</th>\n",
|
||||
" <td>PN213026</td>\n",
|
||||
" <td>3.982349e+09</td>\n",
|
||||
" <td>2809</td>\n",
|
||||
" <td>4.122674e+09</td>\n",
|
||||
" <td>2783</td>\n",
|
||||
" <td>0.965963</td>\n",
|
||||
" <td>Whole Sale Banking</td>\n",
|
||||
" <td>Medium 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",
|
||||
" <td>...</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>10009</th>\n",
|
||||
" <td>PN774741</td>\n",
|
||||
" <td>3.373466e+07</td>\n",
|
||||
" <td>250</td>\n",
|
||||
" <td>2.443148e+07</td>\n",
|
||||
" <td>381</td>\n",
|
||||
" <td>1.380787</td>\n",
|
||||
" <td>Priority Banking</td>\n",
|
||||
" <td>Medium Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>10010</th>\n",
|
||||
" <td>PN868326</td>\n",
|
||||
" <td>3.785344e+07</td>\n",
|
||||
" <td>259</td>\n",
|
||||
" <td>2.408309e+07</td>\n",
|
||||
" <td>352</td>\n",
|
||||
" <td>1.571785</td>\n",
|
||||
" <td>Ultra High NetWorth</td>\n",
|
||||
" <td>Medium Risk</td>\n",
|
||||
" <td>Y</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>10011</th>\n",
|
||||
" <td>PN667837</td>\n",
|
||||
" <td>3.330357e+07</td>\n",
|
||||
" <td>256</td>\n",
|
||||
" <td>2.676301e+07</td>\n",
|
||||
" <td>359</td>\n",
|
||||
" <td>1.244388</td>\n",
|
||||
" <td>Mass Market</td>\n",
|
||||
" <td>Medium Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>10012</th>\n",
|
||||
" <td>PN809566</td>\n",
|
||||
" <td>3.890076e+07</td>\n",
|
||||
" <td>276</td>\n",
|
||||
" <td>2.554121e+07</td>\n",
|
||||
" <td>400</td>\n",
|
||||
" <td>1.523059</td>\n",
|
||||
" <td>Others</td>\n",
|
||||
" <td>Low Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>10013</th>\n",
|
||||
" <td>PN739647</td>\n",
|
||||
" <td>3.505184e+07</td>\n",
|
||||
" <td>223</td>\n",
|
||||
" <td>2.232980e+07</td>\n",
|
||||
" <td>381</td>\n",
|
||||
" <td>1.569734</td>\n",
|
||||
" <td>Others</td>\n",
|
||||
" <td>Low Risk</td>\n",
|
||||
" <td>N</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"<p>10014 rows × 9 columns</p>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
" Focal_id Credit_transaction_amount Total_no_of_credit_transactions \\\n",
|
||||
"0 PN808624 4.601504e+09 3239 \n",
|
||||
"1 PN663041 2.106224e+09 1573 \n",
|
||||
"2 PN525913 1.057799e+09 776 \n",
|
||||
"3 PN440274 4.806265e+09 3506 \n",
|
||||
"4 PN213026 3.982349e+09 2809 \n",
|
||||
"... ... ... ... \n",
|
||||
"10009 PN774741 3.373466e+07 250 \n",
|
||||
"10010 PN868326 3.785344e+07 259 \n",
|
||||
"10011 PN667837 3.330357e+07 256 \n",
|
||||
"10012 PN809566 3.890076e+07 276 \n",
|
||||
"10013 PN739647 3.505184e+07 223 \n",
|
||||
"\n",
|
||||
" Debit_transaction_amount Total_no_of_debit_transactions Wash_Ratio \\\n",
|
||||
"0 4.461280e+09 3129 1.031431 \n",
|
||||
"1 2.281829e+09 1563 0.923042 \n",
|
||||
"2 1.223876e+09 850 0.864302 \n",
|
||||
"3 4.972813e+09 3599 0.966508 \n",
|
||||
"4 4.122674e+09 2783 0.965963 \n",
|
||||
"... ... ... ... \n",
|
||||
"10009 2.443148e+07 381 1.380787 \n",
|
||||
"10010 2.408309e+07 352 1.571785 \n",
|
||||
"10011 2.676301e+07 359 1.244388 \n",
|
||||
"10012 2.554121e+07 400 1.523059 \n",
|
||||
"10013 2.232980e+07 381 1.569734 \n",
|
||||
"\n",
|
||||
" Segment Risk SAR_FLAG \n",
|
||||
"0 Corporate Banking Medium Risk N \n",
|
||||
"1 Corporate Banking Low Risk N \n",
|
||||
"2 Whole Sale Banking Low Risk N \n",
|
||||
"3 Whole Sale Banking Medium Risk N \n",
|
||||
"4 Whole Sale Banking Medium Risk N \n",
|
||||
"... ... ... ... \n",
|
||||
"10009 Priority Banking Medium Risk N \n",
|
||||
"10010 Ultra High NetWorth Medium Risk Y \n",
|
||||
"10011 Mass Market Medium Risk N \n",
|
||||
"10012 Others Low Risk N \n",
|
||||
"10013 Others Low Risk N \n",
|
||||
"\n",
|
||||
"[10014 rows x 9 columns]"
|
||||
]
|
||||
},
|
||||
"execution_count": 9,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# sen = Scenario()\n",
|
||||
"# sen.logic()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "150bb5ce-6be1-44fc-a606-6d375354626d",
|
||||
"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
|
||||
}
|
||||
|
||||
150
main.py
Normal file
150
main.py
Normal file
@ -0,0 +1,150 @@
|
||||
#!/usr/bin/env python
|
||||
# coding: utf-8
|
||||
|
||||
# In[1]:
|
||||
|
||||
|
||||
import pandas as pd
|
||||
|
||||
|
||||
# In[5]:
|
||||
|
||||
|
||||
from tms_data_interface import SQLQueryInterface
|
||||
seq = SQLQueryInterface(schema="transactionschema")
|
||||
|
||||
|
||||
# In[6]:
|
||||
|
||||
|
||||
seq.execute_raw("show tables")
|
||||
|
||||
|
||||
# In[7]:
|
||||
|
||||
|
||||
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.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[8]:
|
||||
|
||||
|
||||
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[9]:
|
||||
|
||||
|
||||
# sen = Scenario()
|
||||
# sen.logic()
|
||||
|
||||
|
||||
# In[ ]:
|
||||
|
||||
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user