jps-code-repository-utils 0.3.1

Collection of utility Pythhon scripts to manage code repositories.

jps-code-repository-utils

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🧭 Overview

jps-code-repository-utils is a collection of Python-based utility scripts designed to manage and standardize code repositories.
These tools simplify common administrative tasks such as enforcing naming conventions, auditing branch structures, generating repository history reports, and synchronizing version metadata.

✨ Key Features

• Automated enforcement of branch naming conventions (feature/, bugfix/, hotfix/, release/, etc.)
• Repository cleanup and archival of inactive branches
• Consistent versioning and repository metadata management
• Repository history generation with per-branch summaries and event classification
• Integration with Jira and CI/CD pipelines for reporting and audit purposes
• Robust testing framework using pytest with 100% reproducible local runs

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🧩 Included Utilities

Script	Description
standardize_branches.py	Standardizes branch names, prefixes, and folders (feature, bugfix, hotfix, release).
audit_repository.py	Audits repository metadata, tags, and release consistency.
repo_history.py	Generates detailed repository history reports with per-branch summaries, tag events, and merge timelines.

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💻 Example Commands

# Standardize branch naming across a repo
python -m scripts.standardize_branches --repo /path/to/repository

# Generate a full repository history report
python -m scripts.repo_history --global-tags

To explore command options:

jps-code-repository-utils-standardize --help
jps-code-repository-utils-audit --help
jps-code-repository-utils-history --help

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⚙️ Installation

make install

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🧪 Development Workflow

make fix && make format && make lint
make test

Recent Additions

• Comprehensive pytest suite for repo_history.py
• Dummy Git repository fixtures for isolated test execution
• 6 passing tests and 1 intentionally skipped (network-dependent)

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📦 Packaging and Distribution

This project follows semantic versioning and uses GitHub Actions for continuous integration,
PyPI publishing, and test coverage reporting via Codecov.

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📜 License

MIT License © Jaideep Sundaram