Updated the Docker CI/CD pipeline in the `.forgejo/workflows/docker-latest.yml` to support better integration and efficiency. Key enhancements include setting a container environment with Node 20 on Debian Bookworm for consistency across builds, and installing Docker directly within the runner to streamline the process. This refinement simplifies the setup steps, reduces potential for errors, and possibly decreases pipeline execution time. These changes ensure that our Docker images are built and pushed in a more reliable and faster environment.
Removed the specific runner designation from the Docker workflow to allow for dynamic runner selection. This change aims to increase flexibility and compatibility across different CI environments. It reduces the dependency on a single OS version, potentially leading to better resource availability and efficiency in workflow execution.
Introduced a new Docker CI/CD workflow to automatically build and push images to Docker Hub on pushes to the 'docker' branch. This automation ensures that the latest version of the bot is readily available for deployment, facilitating easier distribution and deployment for users.
The README.md has been updated to improve clarity around installation methods, emphasizing PyPI as the recommended installation method while expanding on Docker usage. It now includes detailed instructions for Docker Hub images, local image building, and Docker Compose deployment, catering to a broader range of users and deployment scenarios. This update aims to make the bot more accessible and manageable by providing clear, step-by-step guidance for different deployment strategies.
Related to these changes, the documentation has been restructured to better organize information related to configuration and running the bot, ensuring users have a smoother experience setting up and deploying it in their environment.
These changes reflect our commitment to enhancing user experience and streamlining deployment processes, making it easier for users to adopt and maintain the matrix-gptbot in various environments.
Simplified the publishing to PyPI steps in the release workflow by consolidating the Python environment setup, tool installation, package building, and publishing into a single job. This change makes the workflow more efficient and reduces the number of steps required to publish a package. It ensures that the environment setup, dependencies installation, package building, and publishing are done in one go, which can help in minimizing potential issues arising from multiple, separate steps.
This approach leverages the existing Python and PyPI tools more effectively and could potentially shorten the release cycle time. It also makes the workflow file cleaner and easier to maintain.
Switched the virtual environment activation command to be compliant with POSIX shell syntax. The previous `source` command is replaced with `.`, making the script more broadly compatible with different shell environments without requiring bash specifically. This change ensures greater portability and compatibility of the release workflow across diverse CI/CD execution environments.
Updated the GitHub Actions workflow in `.forgejo/workflows/release.yml` to explicitly use `python3` instead of `python` for both version checking and virtual environment setup. This change ensures compatibility and clarity across environments where `python` might still point to Python 2.x, preventing potential conflicts and erasing ambiguity. The adjustment aligns with modern best practices, acknowledging the widespread transition to Python 3 and its tooling.
Updated the CI/CD pipeline in `.forgejo/workflows/release.yml` to utilize the `node:20-bookworm` image instead of `python:3.10`. This necessitated adding steps for installing Python dependencies, given the switch to a Node.js-based image. This change accommodates projects that require both Node.js and Python environments for their setup and publishing processes, ensuring better compatibility and flexibility in handling mixed-technology stacks.
This update enhances our pipeline's capability to manage dependencies more efficiently across different technologies, catering to the evolving needs of our projects.
Introduced a new CI/CD GitHub Actions workflow for automated testing and publishing to PyPI, targeting Python 3.10 containers. This setup ensures code is tested before release and automates the distribution process to PyPI whenever a new tag is pushed. Additionally, updated README.md to include a support badge from private.coffee, encouraging community support and visibility.
This enhancement simplifies the release process, improves code quality assurance, and fosters community engagement by providing a direct way to support the project.
