Path parameters let you get values from the URL. Using types and validation helps make sure these values are correct before your app uses them.
Path parameter types and validation in FastAPI
from fastapi import FastAPI, Path app = FastAPI() @app.get('/items/{item_id}') async def read_item(item_id: int = Path(..., title='The ID of the item', ge=1, le=1000)): return {'item_id': item_id}
Use Python type hints to declare the expected type of the path parameter.
Use Path() to add validation rules like minimum (ge) and maximum (le) values.
user_id as an integer from the URL path.from fastapi import FastAPI app = FastAPI() @app.get('/users/{user_id}') async def get_user(user_id: int): return {'user_id': user_id}
product_id is at least 1.from fastapi import FastAPI, Path app = FastAPI() @app.get('/products/{product_id}') async def get_product(product_id: int = Path(..., ge=1)): return {'product_id': product_id}
from fastapi import FastAPI, Path app = FastAPI() @app.get('/files/{file_path}') async def read_file(file_path: str = Path(..., min_length=3, max_length=50)): return {'file_path': file_path}
This FastAPI app defines a path parameter order_id that must be an integer between 1 and 9999. If the value is outside this range or not an integer, FastAPI will return an error automatically.
from fastapi import FastAPI, Path app = FastAPI() @app.get('/orders/{order_id}') async def read_order(order_id: int = Path(..., title='Order ID', ge=1, le=9999)): return {'order_id': order_id}
FastAPI automatically converts path parameters to the declared type or returns an error if conversion fails.
Validation parameters like ge (greater or equal) and le (less or equal) help keep data safe and predictable.
Use descriptive titles in Path() to improve API documentation readability.
Path parameters get values from the URL and can be typed for safety.
Use Path() to add validation rules like minimum and maximum values.
FastAPI handles errors automatically if the path parameter is missing or invalid.
Practice
Solution
Step 1: Understand path parameters in FastAPI
Path parameters extract values from the URL and can be typed to ensure correct data types.Step 2: Role of typing in path parameters
Typing enforces that the value received matches the expected type, preventing errors and invalid data.Final Answer:
To ensure the parameter value matches the expected data type from the URL -> Option DQuick Check:
Path parameter typing = type safety [OK]
- Thinking typing makes parameters optional
- Believing typing disables validation
- Confusing path parameters with query parameters
Solution
Step 1: Recall FastAPI Path parameter validation syntax
FastAPI usesPath()with keyword arguments likege(greater or equal) for minimum values.Step 2: Identify correct keyword for minimum value
The correct keyword isge=1, notmin,minimum, ormin_value.Final Answer:
def read_item(item_id: int = Path(ge=1)): -> Option CQuick Check:
Minimum value keyword = ge [OK]
- Using min or minimum instead of ge
- Using min_value which is invalid
- Omitting Path() and just typing int
from fastapi import FastAPI, Path
app = FastAPI()
@app.get('/users/{user_id}')
async def get_user(user_id: int = Path(ge=1, le=10)):
return {"user_id": user_id}
What will be the response if the client requests /users/15?Solution
Step 1: Understand validation constraints
The path parameteruser_idmust be an integer between 1 and 10 inclusive.Step 2: Analyze the request value
The client requests/users/15, which is outside the allowed range (greater than 10).Step 3: FastAPI validation behavior
FastAPI automatically returns a 422 error if validation fails for path parameters.Final Answer:
Returns 422 Unprocessable Entity error -> Option AQuick Check:
Invalid path param value = 422 error [OK]
- Expecting 404 instead of 422
- Assuming FastAPI converts invalid values silently
- Thinking invalid values return as strings
from fastapi import FastAPI, Path
app = FastAPI()
@app.get('/items/{item_id}')
async def read_item(item_id: str = Path(gt=0)):
return {"item_id": item_id}Solution
Step 1: Check parameter type and validation
The parameteritem_idis typed asstrbut usesgt=0which means greater than 0, a numeric constraint.Step 2: Understand validation mismatch
Numeric validations likegtapply only to numbers, not strings, causing a validation error.Final Answer:
Using gt=0 with a string type causes a validation error -> Option AQuick Check:
Numeric validation on string param = error [OK]
- Applying numeric validation to strings
- Forgetting to annotate type
- Misunderstanding route path syntax
product_id which must be an integer between 100 and 999 inclusive. If the value is invalid, FastAPI should reject the request automatically. Which of the following is the best way to declare this parameter?Solution
Step 1: Recall correct validation keywords in Path()
FastAPI usesge(greater or equal) andle(less or equal) for inclusive range validation.Step 2: Analyze each option's keywords
def get_product(product_id: int = Path(ge=100, le=999)): usesge=100andle=999which matches the requirement exactly. The remaining options use invalid keywords or exclusive bounds. def get_product(product_id: int = Path(gt=100, lt=999)): uses exclusive bounds which exclude 100 and 999.Final Answer:
def get_product(product_id: int = Path(ge=100, le=999)): -> Option BQuick Check:
Inclusive range validation = ge and le [OK]
- Using min/max instead of ge/le
- Using gt/lt for inclusive bounds
- Using invalid keyword names
Ready to prove it?
Pass the test and this pattern moves unknown
