Python Pydantic Model Architect

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Generates structured Pydantic v2 models using the multi-model pattern for robust API schemas and database documents.

This skill streamlines Python development by implementing a standardized multi-model pattern (Base, Create, Update, Response, and InDB) for Pydantic v2. It ensures consistent data validation and clean API contracts by providing boilerplate for complex requirements like camelCase alias mapping, optional fields for PATCH requests, and database-specific document types. It is particularly useful for developers building backend services that require strict typing between the database, the application logic, and the frontend.

Características Principales

01Multi-model pattern generation (Base, Create, Update, Response, InDB)
02Pydantic v2 validation and configuration patterns
03Partial update support for PATCH request schemas
04Automatic camelCase to snake_case alias mapping
051,777 GitHub stars
06Cosmos DB compatible InDB document structures

Casos de Uso

01Standardizing NoSQL database document structures for Azure Cosmos DB
02Designing CRUD API endpoints with distinct request and response schemas
03Mapping Python backend models to TypeScript frontend interfaces