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FastAPIframework~5 mins

Async generator dependencies in FastAPI - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is an async generator dependency in FastAPI?
An async generator dependency is a function that uses async and yield to provide a resource, like a database session, and then clean it up after use. It allows setup and teardown around a request.
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beginner
How do you define an async generator dependency in FastAPI?
You define it as an async function that uses yield to provide a value. After the yield, you put cleanup code that runs after the request finishes.
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intermediate
Why use async generator dependencies instead of normal functions in FastAPI?
Because async generator dependencies let you run code before and after a request asynchronously, like opening and closing a database connection safely.
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beginner
What happens after the yield statement in an async generator dependency?
The code after yield runs after the request is done. It usually cleans up resources like closing connections or files.
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beginner
Can async generator dependencies be used with FastAPI's Depends function?
Yes, you use Depends to declare async generator dependencies in your path operation functions. FastAPI handles calling and cleanup automatically.
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What keyword is used to provide a value in an async generator dependency?
Ayield
Breturn
Cawait
Dasync
What does FastAPI do after the yield in an async generator dependency?
AIgnores the rest of the function
BStarts a new request
CRuns cleanup code
DReturns the value again
Why use async generator dependencies in FastAPI?
ATo manage resources with setup and cleanup
BTo speed up the server startup
CTo avoid using async functions
DTo block other requests
How do you declare an async generator dependency in a path operation?
AUsing a global variable
BUsing Depends with the async generator function
CUsing return statement
DUsing a class
Can async generator dependencies run synchronous code after yield?
AOnly if decorated
BNo, it must be async only
CNo, it must be sync only
DYes, cleanup code can be sync or async
Explain how async generator dependencies work in FastAPI and why they are useful.
Think about setup and teardown around a request.
You got /5 concepts.
    Describe a real-life example where you would use an async generator dependency in FastAPI.
    Imagine opening and closing a door for each visitor.
    You got /5 concepts.

      Practice

      (1/5)
      1. What is the main purpose of using an async generator dependency in FastAPI?
      easy
      A. To manage setup and cleanup actions around a request automatically
      B. To speed up synchronous code execution
      C. To replace all regular functions with asynchronous ones
      D. To create infinite loops inside API endpoints

      Solution

      1. Step 1: Understand async generator dependencies

        Async generator dependencies use async def with yield to run setup code before yielding and cleanup code after.
      2. Step 2: Identify their purpose in FastAPI

        This pattern is mainly used to manage resources safely, like opening and closing database connections around a request.
      3. Final Answer:

        To manage setup and cleanup actions around a request automatically -> Option A
      4. Quick Check:

        Async generator dependencies = setup + cleanup [OK]
      Hint: Think setup before yield, cleanup after yield [OK]
      Common Mistakes:
      • Confusing async generators with normal async functions
      • Thinking they speed up synchronous code
      • Assuming they replace all functions
      2. Which of the following is the correct syntax to define an async generator dependency in FastAPI?
      easy
      A. async def resource(): yield 'data'
      B. def resource(): yield 'data'
      C. async def resource(): return 'data'
      D. def resource(): return 'data'

      Solution

      1. Step 1: Identify async generator syntax

        An async generator uses async def and yield inside the function body.
      2. Step 2: Compare options

        async def resource(): yield 'data' uses async def and yield, which is correct. Options A and B are synchronous, and C uses return instead of yield.
      3. Final Answer:

        async def resource(): yield 'data' -> Option A
      4. Quick Check:

        Async + yield = async generator [OK]
      Hint: Async generator = async def + yield inside [OK]
      Common Mistakes:
      • Using return instead of yield
      • Forgetting async keyword
      • Using synchronous def for async generator
      3. Given this FastAPI async generator dependency, what will be printed when the endpoint is called?
      async def resource():
          print('Setup')
          yield 'data'
          print('Cleanup')
      
      @app.get('/')
      async def read(resource=Depends(resource)):
          print('Inside endpoint')
          return resource
      medium
      A. Inside endpoint only
      B. Inside endpoint, Setup, Cleanup
      C. Setup, Cleanup, Inside endpoint
      D. Setup, Inside endpoint, Cleanup

      Solution

      1. Step 1: Understand async generator flow

        When the endpoint is called, FastAPI runs the async generator up to the yield (prints 'Setup'), then runs the endpoint code (prints 'Inside endpoint'), then after response finishes, runs code after yield (prints 'Cleanup').
      2. Step 2: Order of prints

        The prints happen in order: 'Setup', 'Inside endpoint', 'Cleanup'.
      3. Final Answer:

        Setup, Inside endpoint, Cleanup -> Option D
      4. Quick Check:

        Yield pauses, so Setup before, Cleanup after endpoint [OK]
      Hint: Setup prints before yield, cleanup after endpoint runs [OK]
      Common Mistakes:
      • Assuming cleanup runs before endpoint
      • Thinking yield returns immediately
      • Ignoring async generator lifecycle
      4. Identify the error in this async generator dependency code:
      async def resource():
          connection = await connect_db()
          yield connection
          await connection.close()
      
      @app.get('/')
      async def read(conn=Depends(resource)):
          return {'status': 'ok'}
      medium
      A. Missing await before yield
      B. Cannot yield inside async def
      C. Not using try-finally to ensure cleanup
      D. Depends should not be used with async generators

      Solution

      1. Step 1: Check resource cleanup safety

        Without try-finally, if an exception occurs, await connection.close() might not run, causing resource leaks.
      2. Step 2: Proper pattern for async generator cleanup

        Use try-finally around yield to guarantee cleanup runs even on errors.
      3. Final Answer:

        Not using try-finally to ensure cleanup -> Option C
      4. Quick Check:

        Always use try-finally for cleanup in async generators [OK]
      Hint: Use try-finally to guarantee cleanup after yield [OK]
      Common Mistakes:
      • Forgetting try-finally causes resource leaks
      • Thinking yield needs await
      • Believing Depends can't use async generators
      5. You want to create an async generator dependency that opens a database connection, yields it, and ensures it closes even if the endpoint raises an error. Which code snippet correctly implements this?
      hard
      A. async def db(): conn = await open_db() yield conn await conn.close()
      B. async def db(): conn = await open_db() try: yield conn finally: await conn.close()
      C. async def db(): conn = await open_db() yield conn conn.close()
      D. async def db(): conn = open_db() yield conn await conn.close()

      Solution

      1. Step 1: Ensure proper async resource management

        Opening the connection must be awaited, and closing must happen even if errors occur.
      2. Step 2: Use try-finally around yield

        Only async def db(): conn = await open_db() try: yield conn finally: await conn.close() uses try-finally to guarantee await conn.close() runs after yield, even on exceptions.
      3. Final Answer:

        async def db(): conn = await open_db() try: yield conn finally: await conn.close() -> Option B
      4. Quick Check:

        Try-finally ensures cleanup after yield [OK]
      Hint: Wrap yield in try-finally to always close resources [OK]
      Common Mistakes:
      • Not awaiting open_db()
      • Not using try-finally for cleanup
      • Calling close() without await
      Recommended

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