FastAPI: Handling POST Request with JSON Data
When working with FastAPI APIs, encountering a 422 Unprocessable Entity error code can be frustrating, especially when sending JSON data via POST requests. This error occurs when the request body does not match the expected format or is missing required fields.
To resolve this issue, consider the following options to define an endpoint that expects JSON data:
Option 1: Pydantic Models
Utilize Pydantic models to create a structured representation of your request body. This approach allows for easy validation and documentation of expected parameters.
Option 2: Body Parameters
Employ the Body parameter embed to declare the expected JSON payload directly in the function signature. This method simplifies parameter handling.
Option 3: Dict Type
Define the request body as a dict[Any, Any] or dict if using Python 3.9 . While this option does not provide custom validations, it offers flexibility.
Option 4: Starlette's Request Object
Access the request body directly through the Starlette Request object. Note that this approach requires the use of async def and requires handling JSON parsing manually.
Testing Options
To test the above options, consider using the Python requests library or the JavaScript Fetch API. Ensure that the request headers include the appropriate Content-Type (e.g., application/json) and that the body contains the required JSON data.
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