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FastAPIframework~5 mins

Multiple query parameters in FastAPI - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is a query parameter in FastAPI?
A query parameter is a key-value pair sent in the URL after a question mark (?). FastAPI reads these to get extra information from the client without changing the URL path.
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beginner
How do you define multiple query parameters in a FastAPI endpoint?
You add multiple function parameters with default values or type hints in your path operation function. FastAPI automatically treats them as query parameters.
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beginner
Example: How to accept two query parameters 'name' (string) and 'age' (int) in FastAPI?
Use a function like:
def read_user(name: str, age: int):
FastAPI will expect URLs like ?name=John&age=30.
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intermediate
What happens if a required query parameter is missing in a FastAPI request?
FastAPI returns a 422 error (Unprocessable Entity) telling the client that a required query parameter is missing.
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beginner
How to make a query parameter optional in FastAPI?
Give the parameter a default value like None. For example: def read_user(name: str = None): means 'name' is optional.
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In FastAPI, how do you define multiple query parameters?
AUse path parameters only
BUse a single string parameter with all queries combined
CDefine query parameters in a separate config file
DAdd multiple function parameters with types in the endpoint function
What URL would match this FastAPI endpoint?
def read_item(name: str, count: int):
A/items?name=apple&count=5
B/items/apple/5
C/items?apple&5
D/items?count=5
What error does FastAPI return if a required query parameter is missing?
A500 Internal Server Error
B404 Not Found
C422 Unprocessable Entity
D401 Unauthorized
How to make a query parameter optional in FastAPI?
AUse a global config
BGive it a default value like None
CMake it a path parameter
DUse a special decorator
Which of these is NOT a valid way to pass multiple query parameters?
A?name=John,age=30
B?name=John&age=30
C?name=John&city=NY
D?color=red&size=large
Explain how to handle multiple query parameters in a FastAPI endpoint function.
Think about how function arguments relate to URL query keys.
You got /3 concepts.
    Describe what happens if a required query parameter is missing in a FastAPI request.
    Consider how FastAPI validates input.
    You got /3 concepts.

      Practice

      (1/5)
      1. What is the main purpose of using multiple query parameters in a FastAPI endpoint?
      easy
      A. To accept several inputs from the URL to customize the response
      B. To define multiple routes in one function
      C. To handle only POST request data
      D. To create database models automatically

      Solution

      1. Step 1: Understand query parameters in FastAPI

        Query parameters allow passing data in the URL after a question mark, like ?name=John.
      2. Step 2: Purpose of multiple query parameters

        Using multiple query parameters lets the API accept many inputs to customize what it returns.
      3. Final Answer:

        To accept several inputs from the URL to customize the response -> Option A
      4. Quick Check:

        Multiple query parameters = multiple inputs [OK]
      Hint: Multiple query parameters let you send many inputs in URL [OK]
      Common Mistakes:
      • Confusing query parameters with request body
      • Thinking multiple query parameters define routes
      • Assuming query parameters only work with POST
      2. Which of the following is the correct way to declare two query parameters name (string) and age (integer) in a FastAPI path operation function?
      easy
      A. def read_user(name: str = Query(...), age: int = Query(...)):
      B. def read_user(name: str, age: int = None):
      C. def read_user(name: int, age: str):
      D. def read_user(name, age):

      Solution

      1. Step 1: Understand FastAPI query parameter declaration

        Using Query(...) marks parameters as required query parameters with type hints.
      2. Step 2: Check parameter types and usage

        Parameters must have correct types and use Query(...) to be recognized as query parameters.
      3. Final Answer:

        def read_user(name: str = Query(...), age: int = Query(...)): -> Option A
      4. Quick Check:

        Use Query(...) with correct types for query parameters [OK]
      Hint: Use Query(...) with type hints for required query parameters [OK]
      Common Mistakes:
      • Swapping types of parameters
      • Not using Query for required parameters
      • Omitting type hints
      3. Given this FastAPI endpoint code:
      from fastapi import FastAPI, Query
      from typing import List
      
      app = FastAPI()
      
      @app.get('/items/')
      async def read_items(q: List[str] = Query([])):
          return {"q": q}

      What will be the output if the URL is /items/?q=apple&q=banana?
      medium
      A. {"q": ["apple"]}
      B. {"q": "apple,banana"}
      C. {"q": ["apple", "banana"]}
      D. {"q": []}

      Solution

      1. Step 1: Understand List query parameters in FastAPI

        Using List[str] with Query([]) allows multiple values for the same query key to be collected into a list.
      2. Step 2: Analyze the URL query parameters

        The URL has q=apple and q=banana, so FastAPI collects both into a list.
      3. Final Answer:

        {"q": ["apple", "banana"]} -> Option C
      4. Quick Check:

        Multiple query keys = list of values [OK]
      Hint: Multiple same keys in URL become list in FastAPI [OK]
      Common Mistakes:
      • Expecting a single string with commas
      • Getting only the first value
      • Getting an empty list
      4. What is wrong with this FastAPI endpoint code that tries to accept two query parameters name and age?:
      from fastapi import FastAPI
      app = FastAPI()
      
      @app.get('/user/')
      def get_user(name: str, age: int = None):
          return {"name": name, "age": age}
      medium
      A. The route path should not end with a slash
      B. The function must be async
      C. Missing Query() for both parameters
      D. The parameter age should use Optional[int] for optional query

      Solution

      1. Step 1: Check optional query parameter typing

        In FastAPI, optional parameters should use Optional[type] or type | None to mark them optional properly.
      2. Step 2: Analyze age: int = None

        Just setting default to None is not enough; the type hint should be Optional[int] or int | None for FastAPI to treat it as optional.
      3. Final Answer:

        The parameter age should use Optional[int] for optional query -> Option D
      4. Quick Check:

        Optional query params need Optional[type] or type | None [OK]
      Hint: Use Optional[int] or int | None for optional query params [OK]
      Common Mistakes:
      • Assuming default None alone makes param optional
      • Forgetting to import Optional
      • Thinking async is required for all endpoints
      5. You want to create a FastAPI endpoint that accepts multiple optional query parameters: tags (list of strings), limit (integer, default 10), and search (optional string). Which of the following function signatures correctly implements this?
      hard
      A. def get_items(tags: List[str] = Query([]), limit: int = 10, search: str = None):
      B. def get_items(tags: List[str] = Query([]), limit: int = Query(10), search: Optional[str] = Query(None)):
      C. def get_items(tags: List[str] = [], limit: int = 10, search: str = ''):
      D. def get_items(tags: List[str], limit: int = Query(10), search: Optional[str] = Query(None)):

      Solution

      1. Step 1: Use Query() for query parameters with defaults

        FastAPI requires using Query() to specify default values and metadata for query parameters.
      2. Step 2: Correctly type optional parameters

        Use Optional[str] or str | None with Query(None) for optional string parameters.
      3. Step 3: Check all parameters in def get_items(tags: List[str] = Query([]), limit: int = Query(10), search: Optional[str] = Query(None)):

        def get_items(tags: List[str] = Query([]), limit: int = Query(10), search: Optional[str] = Query(None)): uses Query([]) for list default, Query(10) for limit default, and Optional[str] = Query(None) for optional search, which is correct.
      4. Final Answer:

        def get_items(tags: List[str] = Query([]), limit: int = Query(10), search: Optional[str] = Query(None)): -> Option B
      5. Quick Check:

        Use Query() with correct types and defaults for multiple optional queries [OK]
      Hint: Use Query() with defaults and Optional for optional query params [OK]
      Common Mistakes:
      • Using mutable default [] without Query()
      • Not marking optional string with Optional
      • Omitting Query() for default values
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