generated from dhairya/scenario_template
151 lines
5.1 KiB
Python
151 lines
5.1 KiB
Python
#!/usr/bin/env python
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# coding: utf-8
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# In[1]:
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import pandas as pd
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# In[5]:
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from tms_data_interface import SQLQueryInterface
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seq = SQLQueryInterface(schema="transactionschema")
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# In[6]:
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seq.execute_raw("show tables")
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# In[7]:
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query = """
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select final.CUSTOMER_NUMBER_main as Focal_id,
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final.Credit_transaction_amount,
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final.Total_no_of_credit_transactions,
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final.Debit_transaction_amount,
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final.Total_no_of_debit_transactions,
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final.Wash_Ratio,
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final.SEGMENT,
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final.RISK,
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final.SAR_FLAG
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from
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(
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(
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select subquery.CUSTOMER_NUMBER_1 as CUSTOMER_NUMBER_main,
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subquery.Credit_transaction_amount,
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subquery.Total_no_of_credit_transactions,
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case
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when subquery.Debit_transaction_amount is NULL then 0
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else Debit_transaction_amount
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end as Debit_transaction_amount,
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case
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when subquery.Total_no_of_debit_transactions is NULL then 0
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else Total_no_of_debit_transactions
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end as Total_no_of_debit_transactions,
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case
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when subquery.Debit_transaction_amount = 0
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or subquery.Debit_transaction_amount is NULL then 0
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else subquery.Credit_transaction_amount / subquery.Debit_transaction_amount
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end as Wash_Ratio
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from
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(
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(
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select customer_number as CUSTOMER_NUMBER_1,
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sum(transaction_amount) as Credit_transaction_amount,
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count(*) as Total_no_of_credit_transactions
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from
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(
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select *
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from {trans_data} as trans_table left join {acc_data} as acc_table
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on trans_table.benef_account_number = acc_table.account_number
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)
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where account_number not in ('None')
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group by 1
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) credit left join
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(
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select customer_number as CUSTOMER_NUMBER_2,
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sum(transaction_amount) as Debit_transaction_amount,
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count(*) as Total_no_of_debit_transactions
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from
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(
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select *
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from {trans_data} as trans_table left join {acc_data} as acc_table
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on trans_table.orig_account_number = acc_table.account_number
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)
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where account_number not in ('None')
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group by 1
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) debit on credit.CUSTOMER_NUMBER_1 = debit.CUSTOMER_NUMBER_2
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) subquery
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) main left join
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(
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select subquery.CUSTOMER_NUMBER_3 as CUSTOMER_NUMBER_cust,
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subquery.SEGMENT,
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subquery.RISK,
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case
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when subquery.SAR_FLAG is NULL then 'N'
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else subquery.SAR_FLAG
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end as SAR_FLAG
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from
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(
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(
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select customer_number as CUSTOMER_NUMBER_3,
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business_segment as SEGMENT,
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case
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when RISK_CLASSIFICATION = 1 then 'Low Risk'
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when RISK_CLASSIFICATION = 2 then 'Medium Risk'
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when RISK_CLASSIFICATION = 3 then 'High Risk'
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else 'Unknown Risk'
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end AS RISK
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from {cust_data}
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) cd left join
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(
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select customer_number as CUSTOMER_NUMBER_4,
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sar_flag as SAR_FLAG
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from {alert_data}
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) ad on cd.CUSTOMER_NUMBER_3 = ad.CUSTOMER_NUMBER_4
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) subquery
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) cust_alert on cust_alert.CUSTOMER_NUMBER_cust = main.CUSTOMER_NUMBER_main
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) final
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"""
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# In[8]:
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from tms_data_interface import SQLQueryInterface
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class Scenario:
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seq = SQLQueryInterface(schema="transactionschema")
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def logic(self, **kwargs):
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row_list = self.seq.execute_raw(query.format(trans_data="transaction10m",
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cust_data="customer_data_v1",
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acc_data="account_data_v1",
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alert_data="alert_data_v1")
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)
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cols = ["Focal_id", "Credit_transaction_amount",
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"Total_no_of_credit_transactions",
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"Debit_transaction_amount", "Total_no_of_debit_transactions",
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"Wash_Ratio", "Segment", "Risk", "SAR_FLAG"]
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df = pd.DataFrame(row_list, columns = cols)
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return df
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# In[9]:
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# sen = Scenario()
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# sen.logic()
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# In[ ]:
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