moai-lang-python

Creating a FastAPI endpoint with Pydantic and SQLAlchemy involves defining a Pydantic model for request validation, mapping it to a SQLAlchemy ORM model, and writing an asynchronous route to save data. This Skill generates the complete boilerplate and logic for such endpoints.

Writing pytest unit tests for asynchronous asyncio code requires using async-aware test fixtures and runners. This Skill helps structure pytest tests for asyncio applications, ensuring proper validation of concurrent FastAPI endpoints and database interactions.

Yes, this AI assistant fully supports modern Python 3.13 features, including structural pattern matching and type parameter syntax. It generates and refactors code that leverages the latest language capabilities for robust, type-safe applications.

Yes, you can use Poetry and uv for package management when developing Django and FastAPI applications. This Skill integrates with these modern package managers to streamline environment setup, dependency resolution, and project workflows.

You should use Pydantic for data validation in your FastAPI web application because it enforces type hints at runtime, automatically generates JSON schemas, and ensures data integrity before processing. This Skill helps implement robust Pydantic models for your API endpoints.

To refactor existing Python code to use asynchronous programming with asyncio, you convert blocking I/O operations to non-blocking await calls and update function definitions to async. This Skill provides expert AI assistance to safely migrate and optimize synchronous code to asyncio.