Bird
Raised Fist0
FastAPIframework

Class-based dependencies in FastAPI - Cheat Sheet & Quick Revision

Choose your learning style10 modes available

Start learning this pattern below

Jump into concepts and practice - no test required

or
Recommended
Test this pattern10 questions across easy, medium, and hard to know if this pattern is strong
Recall & Review
beginner
What is a class-based dependency in FastAPI?
A class-based dependency is a Python class used to define reusable logic that FastAPI can inject into path operations. It allows grouping related code and state in one place.
Click to reveal answer
beginner
How do you make a class usable as a dependency in FastAPI?
You define a __call__ method inside the class. FastAPI treats instances of this class as callable dependencies.
Click to reveal answer
intermediate
Why use class-based dependencies instead of functions in FastAPI?
Class-based dependencies help organize related logic and state together, making code cleaner and easier to maintain, especially when you need to share data or setup across multiple calls.
Click to reveal answer
intermediate
How does FastAPI handle the lifecycle of class-based dependencies?
FastAPI creates a new instance of the class for each request by default, calling its __call__ method to resolve the dependency.
Click to reveal answer
advanced
Can class-based dependencies have their own dependencies in FastAPI?
Yes, you can declare dependencies inside the __init__ method or __call__ method, allowing nested dependency injection.
Click to reveal answer
What special method must a class have to be used as a FastAPI dependency?
A__str__
B__call__
C__init__
D__repr__
How does FastAPI create instances of class-based dependencies by default?
AOne instance per request
BIt does not create instances automatically
COne instance per application startup
DOne instance shared across all requests
Where can you declare nested dependencies inside a class-based dependency?
AIn both __init__ and __call__ methods
BOnly in __init__ method
COnly in __call__ method
DNested dependencies are not supported
What is a main benefit of using class-based dependencies?
AThey avoid using async functions
BThey run faster than function dependencies
CThey require less code
DThey allow grouping related logic and state
Which FastAPI feature allows injecting class-based dependencies into path operations?
ARequest
BResponse
CDepends
DMiddleware
Explain how to create and use a class-based dependency in FastAPI.
Think about how FastAPI treats callable classes as dependencies.
You got /4 concepts.
    Describe the advantages of using class-based dependencies over function dependencies in FastAPI.
    Consider how grouping logic and state helps in bigger projects.
    You got /4 concepts.

      Practice

      (1/5)
      1. What is the main purpose of using class-based dependencies in FastAPI?
      easy
      A. To automatically generate HTML forms
      B. To replace all route functions with classes
      C. To group related dependency logic in one reusable place
      D. To handle database connections only

      Solution

      1. Step 1: Understand the role of class-based dependencies

        Class-based dependencies allow grouping related logic inside a class, making code cleaner and reusable.
      2. Step 2: Compare options with this purpose

        Only To group related dependency logic in one reusable place correctly describes grouping related logic; others describe unrelated features.
      3. Final Answer:

        To group related dependency logic in one reusable place -> Option C
      4. Quick Check:

        Class-based dependencies = Group logic [OK]
      Hint: Class-based dependencies group logic inside a class [OK]
      Common Mistakes:
      • Thinking class dependencies replace route functions
      • Assuming they auto-generate HTML
      • Believing they only handle databases
      2. Which method must a class implement to be used as a dependency in FastAPI?
      easy
      A. __init__
      B. __call__
      C. dependency
      D. run

      Solution

      1. Step 1: Recall FastAPI dependency requirements

        FastAPI requires the class to be callable, which means it must implement the __call__ method.
      2. Step 2: Match method names to this requirement

        Only __call__ makes the class instance callable; __init__ is for initialization, others are invalid.
      3. Final Answer:

        __call__ -> Option B
      4. Quick Check:

        Callable class = __call__ method [OK]
      Hint: Class must be callable via __call__ method [OK]
      Common Mistakes:
      • Choosing __init__ instead of __call__
      • Using random method names like 'run'
      • Confusing dependency with method name
      3. Given this class-based dependency, what will be the output when accessing the endpoint?
      from fastapi import FastAPI, Depends
      
      app = FastAPI()
      
      class Greeting:
          def __init__(self, name: str = "Guest"):
              self.name = name
          def __call__(self):
              return f"Hello, {self.name}!"
      
      @app.get("/hello")
      async def hello(greet: str = Depends(Greeting)):
          return {"message": greet}
      medium
      A. {"message": "Hello!"}
      B. {"message": "Hello, name!"}
      C. TypeError at runtime
      D. {"message": "Hello, Guest!"}

      Solution

      1. Step 1: Analyze the Greeting class behavior

        The class sets name to "Guest" by default and __call__ returns "Hello, Guest!" string.
      2. Step 2: Understand dependency injection in endpoint

        Depends(Greeting) creates an instance with default name, so greet is "Hello, Guest!" string.
      3. Final Answer:

        {"message": "Hello, Guest!"} -> Option D
      4. Quick Check:

        Default name used = Hello, Guest! [OK]
      Hint: Default parameter used if no argument passed [OK]
      Common Mistakes:
      • Expecting 'name' literal instead of variable value
      • Assuming runtime error without cause
      • Ignoring default parameter in __init__
      4. Identify the error in this class-based dependency usage:
      class Counter:
          def __init__(self):
              self.count = 0
      
          def increment(self):
              self.count += 1
      
      @app.get("/count")
      async def get_count(counter: Counter = Depends(Counter)):
          counter.increment()
          return {"count": counter.count}
      medium
      A. count attribute should be a class variable
      B. Counter class lacks a __call__ method
      C. increment method should be async
      D. Depends() cannot accept classes

      Solution

      1. Step 1: Trace the dependency execution flow

        Depends(Counter) creates a new instance each request; self.count = 0, increment() sets to 1, returns {"count": 1}. Count resets every request.
      2. Step 2: Pinpoint the logical error

        self.count is an instance attribute (per-request); for persistent counting across requests, count must be a class attribute.
      3. Final Answer:

        count attribute should be a class variable -> Option A
      4. Quick Check:

        Instance attr = resets per request [OK]
      Hint: Use class variables for shared state across requests [OK]
      Common Mistakes:
      • Thinking Depends can't accept classes
      • Assuming async needed for increment
      • Confusing instance and class variables
      5. How can you modify this class-based dependency to accept a dynamic parameter from the request query?
      class UserInfo:
          def __init__(self, user_id: int):
              self.user_id = user_id
          def __call__(self):
              return f"User ID is {self.user_id}"
      
      @app.get("/user")
      async def user(info: str = Depends(UserInfo)):
          return {"info": info}

      Choose the correct way to pass user_id from query parameters.
      hard
      A. Use __init__(self, user_id: int = Query(...)) and import Query
      B. Add user_id parameter to __call__ method instead
      C. Pass user_id directly in Depends(UserInfo(user_id))
      D. Use global variable for user_id inside UserInfo

      Solution

      1. Step 1: Understand how FastAPI injects parameters

        FastAPI injects parameters into __init__ if they have default values with Query or Body.
      2. Step 2: Use Query to declare user_id in __init__

        Adding user_id: int = Query(...) in __init__ allows FastAPI to get it from query parameters.
      3. Final Answer:

        Use __init__(self, user_id: int = Query(...)) and import Query -> Option A
      4. Quick Check:

        Query param in __init__ = dynamic dependency [OK]
      Hint: Use Query in __init__ to get query params [OK]
      Common Mistakes:
      • Trying to pass parameters in __call__
      • Passing instance in Depends directly
      • Using global variables instead of parameters