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1.0.3

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@HeyShinde HeyShinde released this 08 Jun 10:25
· 29 commits to main since this release
v1.0.3
c4904c0

This is the first stable, public release of ml-assert! This release marks a significant milestone, moving the library from its initial concept to a robust, tested, and published package. The core focus of this update was a complete overhaul of the validation API to be more powerful, intuitive, and developer-friendly.

✨ New Features & Major Changes

  • Fluent Schema Builder (ml_assert.schema): Introduced a powerful, chainable, and fluent API for defining complex data validation rules. The new schema() builder is the centerpiece of the library, allowing for clear and expressive assertions.
  • New DataFrame Assertion (.satisfies()): The old .assert_schema() method has been replaced with .satisfies(), which integrates seamlessly with the new schema builder for a more readable and powerful validation experience.

⚙️ CI/CD & Publishing

  • Automated PyPI Publishing: The package is now automatically published to the official Python Package Index (PyPI) upon tagging a new version, thanks to a new GitHub Actions workflow.
  • Trusted Publishing: Configured modern and secure "Trusted Publishing" for all releases to PyPI.
  • Robust CI Pipeline: The CI pipeline has been completely rebuilt to validate every pull request and push by installing dependencies, running the full test suite, and building the package.

Documentation

  • Updated README.md: The main README has been updated to reflect the new fluent API and installation instructions.
  • New "Ultimate Guide" Notebook: The example notebook has been rewritten into a comprehensive guide (examples/ultimate_guide.ipynb) that walks through all the new features.

🐛 Bug Fixes & Refactoring

  • Resolved numerous import errors and dependency issues within the src and tests directories.
  • Fixed incorrect metadata in pyproject.toml that was causing installation and build failures.
  • Refactored the internal project structure for clarity and maintainability.
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