CI/Autofix Tool Updates: Upgrade Guide

by Admin 39 views
πŸ”§ CI/Autofix Tool Updates Available

Hey guys! It's time to roll out some sweet updates to our CI/Autofix tools for the Trend_Model_Project. Keeping our tools up-to-date ensures we're running the most efficient, secure, and feature-rich versions. This guide will walk you through the simple steps to get everything updated and running smoothly. Let's dive in!

Updates Available

We have fresh versions of our essential tools ready for you. These updates include the latest features, bug fixes, and performance improvements. By upgrading, we can ensure our project remains in tip-top shape and that we are leveraging the best the open-source community has to offer. So, what are we waiting for? Let's get this party started!

Update Instructions

Updating our CI/Autofix tools is a straightforward process. Just follow these simple steps, and you'll be up and running with the latest versions in no time. This will help maintain the consistency and quality of our codebase.

  1. Update the .github/workflows/autofix-versions.env file:

    • The first step is to update our .github/workflows/autofix-versions.env file with the new versions. This file serves as a central source of truth for our tool versions, making it easy to manage and update them. Open the file and replace the old versions with the new ones. Save the file, and we're one step closer to the goal. The versions are:
      • Black: Black is our unwavering code formatter. Keep it up to date to maintain consistent style and readability across the project. The new version brings potential performance enhancements and new formatting rules.
      • Ruff: As our steadfast linter, Ruff helps us catch errors early and keep the code squeaky clean. Updating it ensures we are using the latest rules and best practices.
      • isort: Never underestimate the importance of well-organized imports. isort keeps our import statements tidy and consistent, which leads to more readable and maintainable code. The updated version might include better sorting algorithms or compatibility fixes.
      • docformatter: Consistent documentation is key to understanding and maintaining code. docformatter ensures our docstrings adhere to a consistent style, making our project more accessible to everyone.
      • mypy: Embrace the power of static typing! mypy helps us catch type-related errors before runtime, making our code more robust and reliable. Updating mypy brings new type checking features and improved accuracy.
      • pytest: Our trusty testing framework, pytest, is crucial for ensuring the quality of our code. The new version comes with performance improvements, new features, and bug fixes.
      • pytest-cov: Code coverage is essential for understanding how well our tests cover our codebase. pytest-cov helps us measure this, giving us insights into areas that need more testing.
      • coverage: The coverage tool itself provides detailed reports on code coverage. Updating it ensures we have the latest features and accurate reporting.
  2. Test locally:

    • Before creating a pull request, it's crucial to test the changes locally. This helps catch any potential issues early and ensures a smooth integration process. Here's how to do it:

      source .github/workflows/autofix-versions.env
      pip install "black==$BLACK_VERSION" "ruff==$RUFF_VERSION" "isort==$ISORT_VERSION" "docformatter==$DOCFORMATTER_VERSION" "mypy==$MYPY_VERSION" "pytest==$PYTEST_VERSION" "pytest-cov==$PYTEST_COV_VERSION" "coverage==$COVERAGE_VERSION"
      black --check .
      ruff check .
      mypy src tests
      
    • First, we source the .github/workflows/autofix-versions.env file to load the updated versions into our environment. This ensures that the tools are running with the correct versions during testing. Next, we use pip install to install the specified versions of each tool. Make sure to use the exact versions defined in the .env file to avoid any version conflicts. After installing the tools, we run a series of checks to ensure everything is working as expected:

      • black --check .: This command checks if any files need formatting according to Black's rules. If there are any formatting issues, Black will report them without making any changes.
      • ruff check .: This command runs Ruff to check for linting errors in the codebase. Ruff will report any violations of the configured linting rules.
      • mypy src tests: This command runs mypy to perform static type checking on the src and tests directories. mypy will report any type-related errors it finds.
  3. Create a PR with the version updates:

    • Once you've verified the changes locally, it's time to create a pull request. Commit the changes to the .github/workflows/autofix-versions.env file and push them to a new branch. Then, create a pull request targeting the main branch. In the pull request description, provide a brief summary of the updates and any relevant information.
  4. Ensure all CI checks pass before merging:

    • Before merging the pull request, it's crucial to ensure that all continuous integration (CI) checks pass. These checks help automate the testing and validation process, ensuring that the changes don't introduce any regressions or break existing functionality. Monitor the CI checks in the pull request. If any checks fail, investigate the cause and address the issues before proceeding.

Documentation

For more detailed information, refer to the .github/workflows/autofix-versions.env file. This file contains the specific versions of each tool used in the project. You can also check the project's documentation for additional guidance.

See .github/workflows/autofix-versions.env for the version file.


This issue was automatically generated by the Tool Version Check workflow. Last checked: 2025-11-03T08:03:59.881Z