Скачать или смотреть Python Log all HTTP s Requests

Logging all HTTP(s) requests in Python can be a useful task for debugging, monitoring, or auditing purposes. In this tutorial, I'll show you how to log HTTP(s) requests using the requests library and the logging module. We will also utilize the http.client module to capture low-level request and response information. This tutorial assumes you have Python and the requests library installed.
If you haven't already installed the requests library, you can do so using pip:
Create a Python script (e.g., http_request_logger.py) and open it in your favorite code editor.
Import the required modules at the beginning of your script:
You'll need to configure the logging module to record HTTP requests and responses. Here's a basic configuration:
This configuration sets the logging level to DEBUG and formats the log messages to include the timestamp, logger name, log level, and the message itself.
To capture HTTP(s) requests, create a custom logging handler that intercepts them:
This custom handler subclasses http.client.HTTPConnection and overrides its methods to log requests and responses. It also uses the logging module to log this information.
Monkey-patch the http.client.HTTPConnection class to use your custom logging handler:
Now you can use the requests library as usual to make HTTP requests. All requests and responses will be logged automatically:
Run your Python script (http_request_logger.py). You will see detailed logs of all HTTP(s) requests and responses in the console.
Logging all HTTP(s) requests in Python is a valuable technique for monitoring and debugging network interactions. By creating a custom logging handler and patching the http.client.HTTPConnection class, you can capture request and response details easily. This allows you to keep a record of HTTP(s) activities in your application, helping with troubleshooting and analysis.
ChatGPT