added loop
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+2
-1
@@ -227,5 +227,6 @@ class Loan(db.Model):
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"""
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"""
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customer_loans = cls.query.filter_by( customer_id = customer_id).all()
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customer_loans = cls.query.filter_by( customer_id = customer_id).all()
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if not customer_loans:
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if not customer_loans:
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raise ValueError(f"Customer with Id {customer_id} does not have any loan.")
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raise ValueError(f"Customer with Id {customer_id} does not have any loan.")
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logger.info(f"Found {len(customer_loans)} loans for customer ID: {customer_id}")
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return customer_loans
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return customer_loans
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+34
-31
@@ -105,54 +105,59 @@ def payment_callback():
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@autocall_bp.route("/penal-charge", methods=["POST"])
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@autocall_bp.route("/penal-charge", methods=["POST"])
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def penal_charge():
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def penal_charge():
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data = request.get_json()
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data = request.get_json()
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logger.info(f"Calling Penal Charge Endpoints")
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logger.info(f"Calling Penal Charge Endpoint")
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response = SimbrellaClient.penal_charge(data[0])
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try:
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response = SimbrellaClient.penal_charge(data[0])
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return response
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except Exception as e:
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logger.error(f"Error in Penal Charge: {e}")
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return ResponseHelper.error("Penal charge failed")
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return response
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@autocall_bp.route("/analytic-salary-detect", methods=["POST"])
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@autocall_bp.route("/analytic-salary-detect", methods=["POST"])
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def salary_detect():
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def salary_detect():
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payload = request.get_json()
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payload = request.get_json()
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logger.info(f"Calling Salary Detect endpoint")
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logger.info("Calling Salary Detect endpoint")
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# Attempt to add the incoming salary data
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# Step 1: Try to add new salary data
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try:
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try:
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new_salary = SalaryService.add_salary_data(payload)
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new_salary = SalaryService.add_salary_data(payload)
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if new_salary:
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if new_salary:
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logger.info(f"Salary added: {new_salary.id}" )
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logger.info(f"Salary added: {new_salary.id}")
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except Exception as e:
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except Exception as e:
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logger.info(f"Failed to save salary: ", e)
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logger.error(f"Failed to save salary: {e}")
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# Fetch all pending salaries
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# Step 2: Get all pending salaries
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pending_salaries = SalaryService.get_pending_salaries()
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pending_salaries = SalaryService.get_pending_salaries()
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if not pending_salaries:
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if not pending_salaries:
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logger.info(f"No pending salaries found")
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logger.info("No pending salaries found")
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return ResponseHelper.success([], "No pending salaries")
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return ResponseHelper.success([], "No pending salaries")
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logger.info(f"Found pending salaries {len(pending_salaries)}" )
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logger.info(f"Found {len(pending_salaries)} pending salaries to process")
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# Step 3: Process each salary
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for pending_salary in pending_salaries:
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for pending_salary in pending_salaries:
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logger.info(f"Processing salary ID: {pending_salary.id}" )
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logger.info(f"Processing salary ID: {pending_salary.id}")
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# Step 1: Update status to PROCESSING early to avoid race condition
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# Step 3.1: Update status to PROCESSING
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try:
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try:
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SalaryService.update_status(pending_salary.id, "PROCESSING")
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SalaryService.update_status(pending_salary.id, "PROCESSING")
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except Exception as e:
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except Exception as e:
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logger.info(f"Failed to update status to PROCESSING for salary ID : {pending_salary.id} {e}" )
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logger.warning(f"Could not update status for salary ID {pending_salary.id}: {e}")
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continue
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continue
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# Step 2: Fetch loans for this salary's customer
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# Step 3.2: Get loans
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try:
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try:
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loans = LoanService.get_customer_loans(pending_salary.customer_id)
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loans = LoanService.get_customer_loans(pending_salary.customer_id)
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if not loans:
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if not loans:
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logger.warning(f"No loans found for customer ID: {pending_salary.customer_id}" )
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logger.warning(f"No loans found for customer ID: {pending_salary.customer_id}")
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continue
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continue
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except Exception as e:
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except Exception as e:
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logger.info(f"Error fetching loans for customer ID : {pending_salary.customer_id} {e}")
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logger.error(f"Error fetching loans for customer ID {pending_salary.customer_id}: {e}")
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continue
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continue
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# Step 3: Loop through loans and create repayment entries
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# Step 3.3: Create repayments
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for loan in loans:
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for loan in loans:
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try:
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try:
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loan_dict = loan.to_dict()
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loan_dict = loan.to_dict()
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@@ -164,23 +169,21 @@ def salary_detect():
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"initiatedBy": "SALARY_DETECT",
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"initiatedBy": "SALARY_DETECT",
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"salaryAmount": pending_salary.amount,
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"salaryAmount": pending_salary.amount,
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}
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}
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logger.info(f"Creating repayment for loan ID {loan_dict["debtId"]}")
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logger.info(f"Creating repayment for loan ID {loan_dict['debtId']}")
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repayment = RepaymentService.add_repayment(repayment_data)
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repayment = RepaymentService.add_repayment(repayment_data)
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logger.info(f"Created repayment ID: {repayment.id}", )
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logger.info(f"Created repayment ID: {repayment.id}")
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except Exception as e:
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except Exception as e:
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logger.info(f"Error creating repayment for loan ID : {loan.id} {e}" )
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logger.error(f"Error creating repayment for loan ID {loan.id}: {e}")
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continue
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continue
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# Step 4: Simbrella integration call after all processing
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try:
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SimbrellaClient.collect_loan_user_salary_detect(repayment.to_dict())
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except Exception as e:
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logger.error(f"Failed to call Simbrella client: {e}")
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# Step 4: Optionally update salary to DONE after all loan processing
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try:
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SalaryService.update_status(pending_salary.id, "DONE")
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except Exception as e:
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logger.info(f"Failed to mark salary ID as DONE: {pending_salary.id} {e}")
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# Step 5: Call Simbrella integration after processing all salaries
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try:
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SimbrellaClient.collect_loan_user_salary_detect(payload)
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except Exception as e:
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logger.info(f"Failed to call Simbrella client: {e}")
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logger.info(f"Finished processing salary ID: {pending_salary.id}")
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return ResponseHelper.success([], "AutoCall Successful")
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return ResponseHelper.success([], "AutoCall Successful")
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