How Can I Efficiently Log Raw HTTP Request/Response JSON in FastAPI for Auditing?

Logging Raw HTTP Request/Response in Python FastAPI for Specific Routes

Problem:
We are developing a web service using FastAPI that will be deployed in Kubernetes. For auditing purposes, we need to log the raw JSON body of specific routes' requests and responses. The request and response JSON bodies are approximately 1MB in size, and it is crucial that the logging process does not significantly impact response times.

Solution:

Option 1: Using Middleware

1. Create a Middleware:
   Define a function and use the @app.middleware("http") decorator to handle incoming requests and outgoing responses.
2. Capture Request Body:
   Use request.body() or request.stream() to capture the request body.
3. Process Response Body:
   Read the response body as a bytes object and return a custom Response to the client.
4. Log Data:
   Use a BackgroundTask to log the request and response bodies to a file or database.

Option 2: Using Custom APIRoute Class

1. Define Custom APIRoute:
   Create a custom APIRoute class that extends the APIRoute base class, allowing for modification of request and response bodies.
2. Handle Request Body:
   In the custom route handler, capture the request body before it reaches the endpoint handler.
3. Process Response Body:
   Modify the response body and create a new Response object. If the original response is a StreamingResponse, add logging functionality to the streaming iterator.
4. Background Logging:
   Attach the logging function as a BackgroundTask to the response object.

Note:
Consider the size of request and response bodies, as large payloads can lead to memory issues or delays on both the server and client sides. It may be necessary to limit the logging to specific routes or exclude streaming responses from logging.

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