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feat: Add middleware to log all post requests #397

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@Ashutosh619-sudo Ashutosh619-sudo commented Oct 9, 2024

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coderabbitai bot commented Oct 11, 2024

Walkthrough

The changes introduce a new middleware class, LogPostRequestMiddleware, in the fyle_xero_api/logging_middleware.py file. This middleware logs details of incoming POST and PUT requests, including the request path and body, while handling potential exceptions. Additionally, the middleware is incorporated into the MIDDLEWARE list in fyle_xero_api/settings.py, enhancing the logging functionality for these request types.

Changes

File Path Change Summary
fyle_xero_api/logging_middleware.py Added new class LogPostRequestMiddleware to log details of POST and PUT requests.
fyle_xero_api/settings.py Added LogPostRequestMiddleware to the MIDDLEWARE list.

Poem

In the land of code where rabbits play,
A new middleware hops in, brightening the day.
Logging each request with a gentle cheer,
POST and PUTs now have nothing to fear!
With paths and bodies in the light,
Our API dances, oh what a sight! 🐇✨


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Actionable comments posted: 1

🧹 Outside diff range and nitpick comments (1)
fyle_xero_api/logging_middleware.py (1)

31-47: Summary: New middleware for logging POST/PUT requests

The addition of LogPostRequestMiddleware enhances the application's logging capabilities by capturing details of POST and PUT requests. This can be valuable for debugging and monitoring purposes. However, there are important considerations:

  1. Security and Privacy: Ensure that sensitive data is not inadvertently logged.
  2. Performance: Be mindful of the potential impact on application performance, especially with large payloads.
  3. Error Handling: The current implementation could benefit from more specific exception handling.
  4. Compliance: Verify that this logging aligns with relevant data protection regulations.

Before merging this PR, consider the following:

  1. Implement data filtering or masking for sensitive information.
  2. Add configuration options to control logging behavior (e.g., enable/disable for specific endpoints, set payload size limits).
  3. Review and update error handling as suggested in previous comments.
  4. Ensure that this logging aligns with your overall application monitoring and debugging strategy.

These changes significantly alter the application's behavior in terms of data logging. Ensure that all stakeholders are aware of these changes and that they align with the project's requirements and compliance needs.

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Files that changed from the base of the PR and between 7cdfe7e and 0da73f3.

📒 Files selected for processing (2)
  • fyle_xero_api/logging_middleware.py (2 hunks)
  • fyle_xero_api/settings.py (1 hunks)
🧰 Additional context used
🔇 Additional comments (3)
fyle_xero_api/logging_middleware.py (2)

32-33: LGTM: Correct initialization of middleware

The __init__ method correctly initializes the middleware by storing the get_response function. This follows the standard Django middleware initialization pattern.


31-47: ⚠️ Potential issue

Consider security and performance implications of logging all POST/PUT requests

While logging requests can be useful for debugging, there are several concerns to address:

  1. Security: Logging entire request bodies may expose sensitive data (e.g., passwords, tokens).
  2. Performance: Logging large payloads could impact application performance.
  3. Compliance: Storing personal data in logs might violate data protection regulations (e.g., GDPR).

Consider the following improvements:

  1. Implement request body filtering to exclude or mask sensitive fields.
  2. Add size limits for logged payloads to prevent performance issues.
  3. Ensure compliance with relevant data protection regulations.
  4. Add configuration options to enable/disable logging for specific endpoints.

Example implementation for filtering sensitive data:

import re

def filter_sensitive_data(data):
    sensitive_fields = ['password', 'token', 'credit_card']
    filtered_data = data.copy()
    for field in sensitive_fields:
        if field in filtered_data:
            filtered_data[field] = '[REDACTED]'
    return filtered_data

# In the __call__ method:
request_body = json.loads(body_unicode)
filtered_body = filter_sensitive_data(request_body)
logger.info("POST request to %s: %s", request.path, filtered_body)

To check for potential sensitive data exposure, run:

fyle_xero_api/settings.py (1)

63-63: LGTM. Verify middleware implementation and consider performance impact.

The addition of LogPostRequestMiddleware aligns with the PR objective to log all POST requests. Its placement in the middleware stack is appropriate.

Please run the following script to verify the middleware implementation:

Consider the performance impact of logging all POST (and possibly PUT) requests, especially for high-traffic environments. You might want to implement sampling or other performance optimization techniques if not already in place.

Comment on lines +35 to +47
def __call__(self, request):
if request.method in ['POST', 'PUT']:
try:
body_unicode = request.body.decode('utf-8')
request_body = json.loads(body_unicode)
logger.info("POST request to %s: %s", request.path, request_body)
except (json.JSONDecodeError, UnicodeDecodeError):
logger.warning("Failed to decode POST request body for %s", request.path)
except Exception as e:
logger.info('Something went wrong when logging post call - %s', e)

response = self.get_response(request)
return response
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🛠️ Refactor suggestion

Improve error handling and logging in the __call__ method

The current implementation is good, but there are a few areas for improvement:

  1. The general except Exception block on line 43 could be more specific to avoid catching unexpected errors.
  2. The warning log on line 42 could include more details about the failure, such as the exception message.

Consider refactoring the method as follows:

def __call__(self, request):
    if request.method in ['POST', 'PUT']:
        try:
            body_unicode = request.body.decode('utf-8')
            request_body = json.loads(body_unicode)
            logger.info("POST request to %s: %s", request.path, request_body)
        except json.JSONDecodeError as e:
            logger.warning("Failed to decode JSON in POST request body for %s: %s", request.path, str(e))
        except UnicodeDecodeError as e:
            logger.warning("Failed to decode Unicode in POST request body for %s: %s", request.path, str(e))
        except Exception as e:
            logger.error("Unexpected error when logging POST request to %s: %s", request.path, str(e))

    response = self.get_response(request)
    return response

This refactoring:

  1. Separates the JSONDecodeError and UnicodeDecodeError exceptions for more specific error handling.
  2. Includes the exception message in the warning logs for better debugging.
  3. Changes the general exception log to an error level and includes more context.

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Tests Skipped Failures Errors Time
163 0 💤 0 ❌ 0 🔥 1m 10s ⏱️

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2 participants