[Feat]: Implementing an Automated Workflow for Generating Conventional Logs in Project Version Control🚀

[Nishitbaria]

Description:
In modern software development, version control is essential for tracking changes, collaborating efficiently, and maintaining code quality. To promote adherence to established coding standards and improve code readability, many development teams adopt the Conventional Commit standard for version control. However, the process of manually creating and maintaining Conventional Logs for each version can be time-consuming and error-prone.

The aim of this project is to design and implement an automated workflow that seamlessly generates Conventional Logs for conventional versions of the project. This automation process will streamline the recording of version changes in a consistent format and enable developers to better understand the history of the project.

Key Objectives:

1. Automated Commit Message Validation: Develop a mechanism to validate commit messages against the Conventional Commit format, ensuring they adhere to the established standards.

2. Version Tracking and Tagging: Implement a system that automatically tracks and tags conventional versions based on the commit history, simplifying the identification and retrieval of specific versions.

3. Automated Log Generation: Create a script or tool that automatically generates Conventional Logs for each version by extracting relevant commit information and organizing it into a human-readable format.

4. Changelog Integration: Integrate the automated Conventional Log generation process with existing changelog tools or systems to ensure seamless updating of the project's release notes.

5. Error Handling and Reporting: Implement a robust error-handling mechanism to identify and address any issues that may arise during the automated workflow, providing clear and informative error reports to aid in debugging.

6. Configurability and Customization: Allow developers to customize the workflow according to their project's specific requirements, including the ability to exclude certain commits or add supplementary information to the generated logs.

7. Documentation and Training: Provide comprehensive documentation and training resources to guide team members on how to use and contribute to the automated Conventional Log workflow effectively.

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