jps-release-audit-utils 0.8.0

Collection of Python utils for auditing software releases.

jps-release-audit-utils

A comprehensive Python toolkit for auditing software releases, comparing multiple Git branches, and producing Excel-based release intelligence reports.
Designed to help engineering, QA, release management, and DevOps teams understand what code is in a release, what is missing, and how commit history evolved.

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🚀 Overview

jps-release-audit-utils analyzes commit histories across multiple Git branches and generates a multi-worksheet Excel report with rich metadata, topology-aware commit ordering, branch coverage analysis, and color-coded indicators.

It is useful for:

• Preparing release candidates
• Verifying required commits are present
• Identifying missing or cherry-pick commits
• Understanding merge timing vs. authored commit dates
• Explaining branching and merging behavior to auditors or QA
• Producing reproducible release audit artifacts

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🔍 Key Features

✔ Multi-branch commit analysis

• Accepts branches via --branches or --branches-file
• Compares branch membership for every commit
• Identifies missing, unique, and shared commits

✔ Four Excel worksheets (configurable names)

1. timeline_by_date
   Chronological commit history sorted by authored date.

2. timeline_by_topology
   Git DAG (ancestry) order using git rev-list --topo-order.

3. timeline_hybrid
   Combines date and topology order; highlights out-of-order commits.

4. analytics_summary
   High-level metrics across branches: unique commits, missing commits, out-of-order count, etc.

✔ Rich metadata extraction

• Commit hash
• Commit message
• Author
• PR number (when present)
• Authored date + datetime
• Presence per branch

✔ Color-coded Excel output

• Red for commits missing from a branch
• Green for commits present in all branches
• Yellow for commits whose dates contradict topology order
• Colors configurable via YAML

✔ YAML-based configuration

Located at:
src/jps_release_audit_utils/conf/config.yaml

Configurable items include:

sheets:
  timeline_by_date: "Timeline (By Date)"
  timeline_by_topology: "Timeline (By Topology)"
  timeline_hybrid: "Hybrid Timeline"
  analytics_summary: "Analytics Summary"

colors:
  missing: "FFC7CE"
  all_present: "C6EFCE"
  out_of_order: "FFEB9C"

✔ Enhanced Excel formatting

Frozen header rows

Auto-filter enabled

Auto-adjusted column widths

📊 Worksheet Overview

Each worksheet provides a different perspective on commit history:

Worksheet	Purpose
timeline_by_date	Understand when commits were authored.
timeline_by_topology	Understand how Git applied commits (true ancestry).
timeline_hybrid	Detect rebases/cherry-picks via date vs. topology mismatch.
analytics_summary	Quickly assess branch readiness and commit coverage.

For detailed explanations, see: ➡️ docs/worksheet_explanations.md (recommended to create as part of project)

🧪 Example Usage

Compare 3 branches and output Excel report

python -m jps_release_audit_utils.commit_report \
    --repo-path /path/to/repo \
    --branches develop,main,release/v5.8.0-rc \
    --output release_audit.xlsx
``

Using a branches file
```bash
python -m jps_release_audit_utils.commit_report \
    --branches-file branches.txt \
    --output audit.xlsx

Using a custom YAML configuration

python -m jps_release_audit_utils.commit_report \
    --branches-file branches.txt \
    --config src/jps_release_audit_utils/conf/config.yaml

📦 Installation

make install

or:

pip install jps-release-audit-utils

🧪 Development

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

📝 Roadmap (Optional Suggestions)

Optional PR-scraping via GitHub API

Release note generation

Branch divergence visualization

GitHub Actions plugin integration

HTML dashboards

📜 License

MIT License © Jaideep Sundaram