Advanced everything in Python & FastAPI, page 4
FastAPI's Security Utility: Dependencies for Auth
FastAPI's Security utility is a specialized Depends for authentication. It signals to OpenAPI that a dependency is required for security, enabling interactive docs. Use it to protect endpoints by injecting the authenticated user.
FastAPI: Setting Custom Response Headers
Set custom HTTP headers in FastAPI by adding a Response parameter to your endpoint. This lets you add metadata like trace IDs without changing your return data. The footgun is thinking you must return the Response object; just return your data as usual.
FastAPI `yield` Dependencies for Setup and Teardown
A yield dependency is a context manager for your endpoints. Code before yield runs setup, like getting a DB connection; code after yield runs teardown.
Pydantic Computed Fields: Serialize Derived Values
A Pydantic computed field makes a derived value, like an area from width and length, part of your model's serialized output. Use it to include calculated attributes when calling .model_dump().
Starlette's Request Object: A Clean API for ASGI
Starlette's Request object is a high-level wrapper around the raw ASGI scope, providing a clean API for request data. Use it in endpoints to read headers, query params, or parse the body. The footgun: the request body can only be read once.
FastAPI: Use HTTPException to Return Client Errors
FastAPI's HTTPException is your tool for stopping an operation and sending a clean HTTP error. Raise it when business logic fails, like a missing database record. The footgun is catching it yourself; just raise it and let FastAPI do the rest.
The Python GIL: One Thread at a Time
The Python Global Interpreter Lock (GIL) is a mutex ensuring only one thread executes Python bytecode at a time. This serializes CPU-bound threads, but the lock is released during I/O, making it effective for network-bound tasks.
Python Concurrency vs. Parallelism
Concurrency is juggling tasks; parallelism is doing them at once. In Python, use concurrency (threading/asyncio) for I/O-bound work like API calls, and parallelism (multiprocessing) for CPU-bound tasks.
Accessing Python Type Annotations Safely
Accessing an object's type hints isn't just obj.__annotations__. Use inspect.get_annotations() in Python 3.10+ for safe access. This is key for tools like FastAPI that introspect your code.
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