mlops-quality-assurance 0.1.1

Add your description here

MLOps Quality Assurance

This repository provides tools for quality assurance in MLOps projects, focusing on code and dependency best practices for Python and Jupyter notebooks.

Features

• LibraryChecker: Scans Jupyter notebooks for unpinned pip installs to ensure reproducibility.
• CLI: Command-line interface for running quality checks (see src/achs_mlops_quality/cli.py).
• Utilities: Helpers for finding Python scripts and notebooks.

Project Structure

mlops_quality_assurance/
├── main.py
├── pyproject.toml
├── pytest.ini
├── README.md
├── uv.lock
├── src/
│   └── achs_mlops_quality/
│       ├── __init__.py
│       ├── cli.py
│       ├── models/
│       │   ├── __init__.py
│       │   └── library_checker.py
│       └── utils/
│           └── __init__.py
└── tests/
	 └── unit/
		  └── test_library_checker.py

Installation

1. Clone the repository:

   git clone <repo-url>
   cd mlops_quality_assurance
   

2. Install dependencies (using uv or pip):

   uv sync
   

Usage

LibraryChecker

You can use the LibraryChecker class to scan notebooks for pip install issues:

from achs_mlops_quality.models.library_checker import LibraryChecker
checker = LibraryChecker(src_path="path/to/your/notebooks")
checker.analize_notebooks()
print(f"Issues detected: {checker.issues_detected}")

CLI

A command-line interface is available. Run:

uv run main.py --help

Testing

Run unit tests with pytest:

uv run pytest

Contributing

Contributions are welcome! Please open issues or pull requests for improvements or bug fixes.

License

MIT License