Chinenye Nmoh
103 lines
3.5 KiB
Python
103 lines
3.5 KiB
Python
import logging
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from datetime import datetime
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from flask import jsonify
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from app.models.transaction import Transaction
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logger = logging.getLogger(__name__)
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class TransactionService:
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"""
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Service class for handling transaction-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 transactions request.
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Args:
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filters (dict, optional): Filters for the transactions query.
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Returns:
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dict: A standardized response with transactions 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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account_id = filters.get('account_id')
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transaction_id = filters.get('transaction_id')
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transaction_type = filters.get('type')
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channel = filters.get('channel')
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start_date = filters.get('start_date')
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end_date = filters.get('end_date')
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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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# Get transactions with optional filters and pagination
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transactions, total_count = Transaction.get_all_transactions(
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account_id=account_id,
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transaction_id=transaction_id,
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transaction_type=transaction_type,
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channel=channel,
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start_date=start_date,
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end_date=end_date,
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page=page,
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limit=limit
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)
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# Convert transactions to dictionary format
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transactions_data = []
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for transaction in transactions:
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transactions_data.append({
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'id': transaction.id,
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'transaction_id': transaction.transaction_id,
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'account_id': transaction.account_id,
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'type': transaction.type,
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'customer_id': transaction.customer_id,
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'channel': transaction.channel,
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'created_at': transaction.created_at.isoformat(),
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'updated_at': transaction.updated_at.isoformat()
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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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'transactions': transactions_data,
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'count': len(transactions_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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}), 500 |