matrx-utils 1.0.18

Basic utilities for matrx

matrx-utils

A comprehensive collection of Python utilities designed to complement the AI Matrx platform.

Overview

matrx-utils provides a curated set of utility functions and tools that enhance the AI Matrx ecosystem. This repository serves as a centralized library of commonly used functionality, allowing for easy integration across the main AI Matrx application and related projects.

Features

• Logging utilities - Enhanced logging capabilities
• Print utilities - Advanced printing and formatting tools
• Code analysis - Tools for analyzing and processing code
• Markdown processing - Utilities for working with markdown content
• Object manipulation - Helper functions for working with Python objects
• Data conversion - Tools for converting between different data formats
• Additional utilities - Various other Python utility-level tools

Purpose

This library is designed to provide instant access to a powerful set of utilities without requiring additional code setup. All utilities have been customized and configured specifically for the AI Matrx platform ecosystem.

Installation

From PyPI (recommended)

pip install matrx-utils
# or with uv
uv add matrx-utils

From GitHub (for development)

pip install git+https://github.com/armanisadeghi/matrx-utils.git

Quick Start

import matrx_utils

# Example usage will be added as the library develops

Contributing

This project is part of the AI Matrx ecosystem. Contributions and suggestions are welcome.

License

[License information to be added]

Related Projects

• AI Matrx - Main AI Matrx platform repository

Publishing a New Version

Automated PyPI Publishing (Current Process)

The package automatically publishes to PyPI when you push a version tag. Here's the workflow:

1. Make and test your changes locally

   # Test your changes
   

2. Update the version in pyproject.toml

   version = "1.0.3"  # Increment appropriately
   

3. Commit and push changes

   git add .
   git commit -m "Add new feature - v1.0.3"
   git push origin main
   

4. Create and push the version tag

   git tag v1.0.3
   git push origin v1.0.3
   

5. GitHub Actions automatically:

   • Verifies the tag matches pyproject.toml version
   • Builds the package
   • Publishes to PyPI

6. Update dependent projects

   In projects like AI Dream, simply update the version:

   uv add matrx-utils@1.0.3
   # or manually in pyproject.toml:
   # matrx-utils = "^1.0.3"
   

Version History

Check current tags: git tag

Example output:

v1.0.0
v1.0.1
v1.0.2

Important Notes

• Always update pyproject.toml version before tagging
• The GitHub Action will fail if tag version ≠ pyproject.toml version
• Semantic versioning: MAJOR.MINOR.PATCH (e.g., v1.0.3)
• Tags trigger automatic PyPI publishing