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External API Caller with comprehensive logging

Project description

LDC-XAC - External API Caller

A Python package for making external API calls with comprehensive logging capabilities.

Features

  • Comprehensive Logging: Log all external API requests, responses, and errors in a structured format
  • Request Tracking: Track request duration and performance metrics
  • Error Handling: Detailed error logging with exception information
  • Data Truncation: Automatic truncation of large request/response data for logging
  • Flexible Configuration: Customizable API codes, system identifiers, and logging parameters

Installation

pip install ldc-xac

Quick Start

from xac import make_external_api_request

# Make a simple GET request
response = make_external_api_request(
    url="https://api.example.com/data",
    method="GET",
    api_code="EXAMPLE_API",
    system="MY_SYSTEM"
)

print(response.status_code)
print(response.json())

# For testing with self-signed certificates or SSL issues
response = make_external_api_request(
    url="https://api.example.com/data",
    method="GET",
    api_code="EXAMPLE_API",
    system="MY_SYSTEM",
    verify=False  # Disable SSL verification
)

Advanced Usage

from xac import ExternalAPICaller

# Log a request manually
start_time = ExternalAPICaller.log_external_api_request(
    url="https://api.example.com/users",
    method="POST",
    api_code="CREATE_USER",
    system="USER_MANAGEMENT"
)

# Make your request
import requests
response = requests.post(
    "https://api.example.com/users",
    json={"name": "John Doe", "email": "john@example.com"}
)

# Log the response
ExternalAPICaller.log_external_api_response(
    url="https://api.example.com/users",
    response=response,
    start_time=start_time,
    api_code="CREATE_USER",
    system="USER_MANAGEMENT"
)

Configuration

The package uses the following default configuration:

  • MAX_REQUEST_BODY_SIZE: 10,000 characters (configurable in xac.config)

Logging Format

The package logs in JSON format with the following structure:

Request Log

{
    "descr": "External API Request",
    "system": "EXTERNAL",
    "api_code": "API_CALL",
    "request_method": "GET",
    "request_url": "https://api.example.com/data"
}

Response Log

{
    "descr": "External API Response",
    "system": "EXTERNAL",
    "api_code": "API_CALL",
    "response_code": 200,
    "response_for_request": "https://api.example.com/data",
    "time_taken_ms": 150.25
}

Error Log

{
    "descr": "External API Error",
    "system": "EXTERNAL",
    "api_code": "API_CALL",
    "response_code": null,
    "response_for_request": "https://api.example.com/data",
    "time_taken_ms": 5000.0,
    "error_message": "Connection timeout",
    "error_type": "ConnectTimeout"
}

API Reference

make_external_api_request()

Make an external API request with automatic logging.

Parameters:

  • url (str): The API endpoint URL
  • method (str): HTTP method (default: "GET")
  • headers (dict, optional): Request headers
  • params (dict, optional): Query parameters
  • timeout (int, optional): Request timeout in seconds (default: 300)
  • api_code (str, optional): Custom API code identifier
  • system (str, optional): System identifier
  • verify (bool, optional): SSL certificate verification (default: True)
  • **kwargs: Additional arguments passed to requests.request()

Returns:

  • requests.Response: The response object

ExternalAPICaller

Main class for logging external API calls.

Methods:

  • log_external_api_request(): Log request details
  • log_external_api_response(): Log response details
  • log_external_api_error(): Log error details
  • _truncate_large_data(): Truncate large data for logging

Development

Setup Development Environment

git clone https://github.com/ayushsonar-lendenclub/ldc-xac
cd xac
pip install -e ".[dev]"

Running Tests

pytest

Code Formatting

black xac/

Type Checking

mypy xac/

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests for your changes
  5. Run the test suite
  6. Submit a pull request

Support

For support and questions, please open an issue on GitHub.

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