pydantic-models-py

Automate Pydantic model creation by applying the multi-model pattern to generate Base, Create, Update, Response, and InDB schemas for clean API contracts. This streamlines API request and response schema definition while ensuring proper data validation.

The multi-model pattern in Pydantic separates data validation into Base, Create, Update, Response, and InDB models. This structure simplifies database model creation and data parsing by segregating input, output, and storage schemas.

Define clean API contracts with Pydantic by generating a set of models that serve as the API's data contract. Using a multi-model pattern reduces manual model creation time and enforces schema validation for requests and responses.

Yes, you need Pydantic installed as it is the required dependency for schema validation and data parsing. The Skill relies on Pydantic to enforce the multi-model pattern for API and database models.

Get started with the Pydantic multi-model pattern by copying the template from the assets folder and replacing the placeholders with your resource name. This generates the required Base, Create, Update, Response, and InDB models for data validation.

Yes, you can use this Pydantic model pattern for both API schemas and database models. It is specifically designed for API and database model development, providing distinct schemas for data validation, API contracts, and database storage.