Working with data validation and serialization
Effective data validation stands as a cornerstone of robust web applications, ensuring that incoming data meets predefined criteria and remains safe for processing.
FastAPI harnesses the power of Pydantic, a Python library dedicated to data validation and serialization. By integrating Pydantic models, FastAPI streamlines the process of validating and serializing data, offering an elegant and efficient solution. This recipe shows how to utilize Pydantic models within FastAPI applications, exploring how they enable precise validation and seamless data serialization.
Getting ready
Pydantic models are essentially Python classes that define the structure and validation rules of your data. They use Python’s type annotations to validate that incoming data matches the expected format. When you use a Pydantic model in your FastAPI endpoints, FastAPI automatically validates incoming request data against the model.
In this recipe...
