When working with asynchronous code, always be mindful of the execution order of operations, particularly with regards to yielded dependencies, middleware, and background tasks. This affects resource management, error handling, and overall application flow.
When working with asynchronous code, always be mindful of the execution order of operations, particularly with regards to yielded dependencies, middleware, and background tasks. This affects resource management, error handling, and overall application flow.
Key considerations:
yield
in dependencies runs after middleware completes processingasyncio.Runner
)Example with yielded dependencies:
async def get_db():
db = Database() # This executes when dependency is called
try:
yield db # Flow returns here after dependency is used
finally:
# This executes after response is generated and middleware completes
await db.close() # Always clean up resources
@app.get("/items/")
async def read_items(db: Database = Depends(get_db)):
# db is available here from the yield statement above
return await db.get_items()
Understanding async execution order prevents resource leaks, race conditions, and helps ensure proper cleanup even in error scenarios. This is especially important in FastAPI applications where dependencies with yield
are common for database connections and other resources.
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