Azeez Muibi
162 lines
6.1 KiB
Python
162 lines
6.1 KiB
Python
import logging
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from datetime import datetime
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from flask import jsonify
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# Configure logging
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logger = logging.getLogger(__name__)
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class Loan: # Mock Loan class for demonstration
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def __init__(self, id, customer_id, account_id, offer_id, initial_loan_amount, current_loan_amount, status,
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product_id, default_penalty_fee, continuous_fee, due_date, created_at, updated_at):
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self.id = id
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self.customer_id = customer_id
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self.account_id = account_id
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self.offer_id = offer_id
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self.initial_loan_amount = initial_loan_amount
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self.current_loan_amount = current_loan_amount
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self.status = status
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self.product_id = product_id
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self.default_penalty_fee = default_penalty_fee
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self.continuous_fee = continuous_fee
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self.due_date = due_date
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self.created_at = created_at
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self.updated_at = updated_at
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@staticmethod
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def get_all_loans(customer_id=None, account_id=None, status=None, offer_id=None, product_id=None, start_date=None,
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end_date=None, due_before=None, due_after=None, page=1, limit=20):
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# This is a mock implementation. In a real application, this would query a database.
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loans = []
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# Create some dummy loans for testing
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for i in range(limit):
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loan = Loan(
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id=i + (page - 1) * limit,
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customer_id=customer_id or "customer123",
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account_id=account_id or "account456",
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offer_id=offer_id or "offer789",
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initial_loan_amount=1000.00,
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current_loan_amount=900.00,
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status=status or "active",
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product_id=product_id or "product101",
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default_penalty_fee=50.00,
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continuous_fee=10.00,
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due_date=datetime.now(),
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created_at=datetime.now(),
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updated_at=datetime.now()
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)
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loans.append(loan)
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total_count = 100 # Example total count
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return loans, total_count
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class LoanService:
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"""
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Service class for handling loan-related operations.
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"""
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@staticmethod
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def process_request(filters=None):
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"""
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Process the get loans request.
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Args:
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filters (dict, optional): Filters for the loans query.
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Returns:
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dict: A standardized response with loans data.
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"""
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try:
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if filters is None:
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filters = {}
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# Extract filters
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customer_id = filters.get('customer_id')
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account_id = filters.get('account_id')
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status = filters.get('status')
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offer_id = filters.get('offer_id')
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product_id = filters.get('product_id')
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start_date = filters.get('start_date')
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end_date = filters.get('end_date')
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due_before = filters.get('due_before')
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due_after = filters.get('due_after')
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# Extract pagination parameters
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page = int(filters.get('page', 1))
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limit = int(filters.get('limit', 20))
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# Ensure page and limit are valid
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if page < 1:
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page = 1
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if limit < 1 or limit > 100:
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limit = 20
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# Convert string dates to datetime objects if provided
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if start_date and isinstance(start_date, str):
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start_date = datetime.fromisoformat(start_date.replace('Z', '+00:00'))
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if end_date and isinstance(end_date, str):
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end_date = datetime.fromisoformat(end_date.replace('Z', '+00:00'))
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if due_before and isinstance(due_before, str):
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due_before = datetime.fromisoformat(due_before.replace('Z', '+00:00'))
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if due_after and isinstance(due_after, str):
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due_after = datetime.fromisoformat(due_after.replace('Z', '+00:00'))
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# Get loans with optional filters and pagination
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loans, total_count = Loan.get_all_loans(
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customer_id=customer_id,
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account_id=account_id,
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status=status,
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offer_id=offer_id,
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product_id=product_id,
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start_date=start_date,
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end_date=end_date,
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due_before=due_before,
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due_after=due_after,
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page=page,
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limit=limit
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)
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# Convert loans to dictionary format
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loans_data = []
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for loan in loans:
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loans_data.append({
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'id': loan.id,
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'customer_id': loan.customer_id,
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'account_id': loan.account_id,
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'offer_id': loan.offer_id,
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'initial_loan_amount': loan.initial_loan_amount,
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'current_loan_amount': loan.current_loan_amount,
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'status': loan.status,
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'product_id': loan.product_id,
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'default_penalty_fee': loan.default_penalty_fee,
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'continuous_fee': loan.continuous_fee,
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'due_date': loan.due_date.isoformat() if loan.due_date else None,
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'created_at': loan.created_at.isoformat() if loan.created_at else None,
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'updated_at': loan.updated_at.isoformat() if loan.updated_at else None
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})
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# Calculate total pages
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total_pages = (total_count + limit - 1) // limit
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response_data = {
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'loans': loans_data,
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'count': len(loans_data),
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'pagination': {
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'total_count': total_count,
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'total_pages': total_pages,
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'current_page': page,
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'limit': limit,
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'has_next': page < total_pages,
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'has_prev': page > 1
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}
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}
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return response_data
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except Exception as e:
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logger.error(f"An error occurred: {str(e)}", exc_info=True)
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return jsonify({
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"message": "Internal Server Error"
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# "message": f"Internal Server Error: {str(e)}"
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}), 500
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