exobrain-actions-schemas 0.1.0a2

Pydantic models for Exobrain Actions management (REST API clients or FastAPI/Flask web services)

exobrain-actions-schemas

Pydantic models for Exobrain Actions management.

This package provides Pydantic models for managing Exobrain Actions schemas. It is designed to be used as a dependency in REST API clients, web services built with FastAPI or Flask, or any other Python application that requires strict data validation and serialization for Exobrain Actions management.

Key features:

• Typed data models for Exobrain Actions
• Support for modern Pydantic (>=2.11.7, <3)
• Can be integrated into server or client-side projects

Development workflow

Prerequisites

Before starting development, make sure you have the following tools installed:

• Hatch: a modern Python project, environment, and packaging manager.

• uv: a fast Python package installer and resolver.

Project Structure

• Code: Place your models in exobrain/actions/schemas/.
• Tests: Add your tests in tests/.

Development Commands

All tasks (testing, linting, type checking, packaging, etc.) are managed via hatch environments and scripts:

1. Installing Dependencies

Install all dependencies (including development tools):

hatch env create

2. Running Tests

Launch all tests using pytest:

hatch test

3. Linting and Formatting

Format your code:

hatch fmt -f

Check code style:

hatch fmt

4. Type Checking

Run type checks with mypy:

hatch run types:check

5. Coverage

Check test coverage with:

hatch test --cover

6. Building the Package

Build the package for distribution:

hatch build

7. Releasing

The release process uses uv and Github Actions.

• For pre-release on TestPyPI: push a tag with rc or beta in the version (0.1rc1, 0.2b1 etc.).
• For release: push a tag type v0.1 (main release) on main branch.
• Configure secrets for PyPI tokens in repository settings (PYPI_TOKEN, TEST_PYPI_TOKEN).

Continuous Integration

All pushes and pull requests on main or development branches trigger the Continuous Integration pipeline
(see .github/workflows/ directory for details).

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License

This project is private and confidential.