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