added salary table

This commit is contained in:
Chinenye Nmoh
2025-06-19 21:30:21 +01:00
parent 3be765bf41
commit 7fbb659fc6
7 changed files with 164 additions and 41 deletions
+58 -37
View File
@@ -113,53 +113,74 @@ def penal_charge():
@autocall_bp.route("/analytic-salary-detect", methods=["POST"])
def salary_detect():
#***************************************************
# PART 1 Accept any new import of salary detection
#**************************************************
data = request.get_json()
logger.info(f"Calling Salary Detect Endpoints")
payload = request.get_json()
logger.info(f"Calling Salary Detect endpoint")
# Attempt to add the incoming salary data
try:
salary = SalaryService.add_salary_data(data)
if salary:
logger.info(f"Successful Salary Added")
# return ResponseHelper.success(salary.to_dict(), "Successful")
new_salary = SalaryService.add_salary_data(payload)
if new_salary:
logger.info(f"Salary added: {new_salary.id}" )
except Exception as e:
logger.info(f"Failed to save salary: {e}")
# ***************************************************
# PART 2 SELECT * FROM salaries WHERE status IS 'START' ORDER BY id ASC
# **************************************************
logger.info(f"Failed to save salary: ", e)
# Fetch all pending salaries
pending_salaries = SalaryService.get_pending_salaries()
if not pending_salaries:
logger.info(f"No pending salaries found")
# return ResponseHelper.success([], "No pending salaries found")
return ResponseHelper.success([], "No pending salaries")
logger.info(f"Found {len(pending_salaries)} pending salaries")
logger.info(f"Found pending salaries {len(pending_salaries)}" )
#in the loop
# USE the customerID to find thu user Loan
# if loan is/are found for the user
# INSERT INTO repayments TABLE
# repayment = cls(
# customer_id=customer_id,
# loan_id=loan.id,
# product_id=loan.product_id,
# transaction_id = transaction_id,
# created_at=datetime.now(timezone.utc),
# updated_at=datetime.now(timezone.utc),
# initiated_by='SALARY_DETECT'
# )
for pending_salary in pending_salaries:
logger.info(f"Processing salary ID: {pending_salary.id}" )
# by the time you call this you must be on repayment table
# Step 1: Update status to PROCESSING early to avoid race condition
try:
SalaryService.update_status(pending_salary.id, "PROCESSING")
except Exception as e:
logger.info(f"Failed to update status to PROCESSING for salary ID : {pending_salary.id} {e}" )
continue
# Step 2: Fetch loans for this salary's customer
try:
loans = LoanService.get_customer_loans(pending_salary.customer_id)
if not loans:
logger.warning(f"No loans found for customer ID: {pending_salary.customer_id}" )
continue
except Exception as e:
logger.info(f"Error fetching loans for customer ID : {pending_salary.customer_id} {e}")
continue
# Step 3: Loop through loans and create repayment entries
for loan in loans:
try:
loan_dict = loan.to_dict()
repayment_data = {
"customerId": pending_salary.customer_id,
"loanId": loan_dict["debtId"],
"productId": loan_dict["productId"],
"transactionId": loan_dict["transactionId"],
"initiatedBy": "SALARY_DETECT",
"salaryAmount": pending_salary.amount,
}
logger.info(f"Creating repayment for loan ID {loan_dict["debtId"]}")
repayment = RepaymentService.add_repayment(repayment_data)
logger.info(f"Created repayment ID: {repayment.id}", )
except Exception as e:
logger.info(f"Error creating repayment for loan ID : {loan.id} {e}" )
continue
# Step 4: Optionally update salary to DONE after all loan processing
try:
SalaryService.update_status(pending_salary.id, "DONE")
except Exception as e:
logger.info(f"Failed to mark salary ID as DONE: {pending_salary.id} {e}")
# Step 5: Call Simbrella integration after processing all salaries
try:
SimbrellaClient.collect_loan_user_salary_detect(data)
SimbrellaClient.collect_loan_user_salary_detect(payload)
except Exception as e:
logger.info(f"Failed to call collect_loan_user_salary_detect: {e}")
logger.info(f"Failed to call Simbrella client: {e}")
return_data=[]
return ResponseHelper.success(return_data, "AutoCall Successful")
return ResponseHelper.success([], "AutoCall Successful")