feat: Setup proper publishing workflow with automated releases

[Helmi]

Summary

• Establishes comprehensive release workflow for automated PyPI publishing
• Converts TestPyPI publishing to manual-only triggering
• Updates documentation to use dynamic version badges

Closes #1

Changes Made

Workflow Updates

• Modified .github/workflows/test-publish.yml: Removed automatic triggers on push to main, keeping only manual workflow_dispatch
• Verified .github/workflows/publish-pypi.yml: Already correctly configured to trigger on GitHub release events

Documentation Updates

• README.md:
  • Removed hardcoded version "v0.1.12" from line 117
  • Added GitHub release badge and PyPI version badge at the top
• CHANGELOG.md:
  • Added missing version entries for 0.1.6 through 0.1.12
  • Documented all recent changes based on commit history

Test Plan

• Verify test-publish.yml only has manual trigger
• Confirm publish-pypi.yml triggers on release events
• Check README badges render correctly
• Validate CHANGELOG formatting
• Test manual TestPyPI workflow after merge
• Create a test pre-release to verify PyPI publishing

Release Process (Post-Merge)

1. Manually trigger TestPyPI workflow to test package
2. Create GitHub release with appropriate tag
3. PyPI workflow will automatically publish on release creation
4. Version badges will auto-update to show latest release

[Helmi]

@claude review please

[claude]

Claude finished @Helmi's task —— View job

---

PR Review: Automated Release Workflow

Reviewing the automated release workflow setup...

Todo List

• Read and analyze workflow files
• Review documentation changes
• Check CHANGELOG updates
• Provide comprehensive feedback

🎯 Summary

This PR establishes a well-structured automated release workflow. The changes properly separate testing (manual) from production publishing (automated on releases) while adding comprehensive documentation improvements.

✅ Workflow Analysis

.github/workflows/test-publish.yml - EXCELLENT

• Correctly removes automatic triggers on push to main
• Maintains manual workflow_dispatch for controlled testing
• Comprehensive TestPyPI workflow with:
  • Version extraction and validation
  • Package building and metadata checks
  • Publication and installation verification
  • Excellent error handling and user feedback

.github/workflows/publish-pypi.yml - ROBUST

• Proper release trigger on published events
• Smart version handling from release tags vs pyproject.toml
• Safety checks: Manual confirmation required for workflow_dispatch
• TestPyPI verification before production publishing
• Duplicate version protection prevents accidental republishing
• Comprehensive testing of final published package

✅ Documentation Updates

README.md - IMPROVED

• Dynamic badges replace hardcoded version - excellent improvement
• GitHub release badge + PyPI version badge provide real-time status
• Line 3-4: Clean badge implementation

CHANGELOG.md - COMPREHENSIVE

• Complete backfill of versions 0.1.6 through 0.1.12
• Proper semantic versioning format
• Detailed technical descriptions with breaking changes noted
• Good commit history reconstruction

🏆 Strengths

1. Clear separation of concerns: Test vs production workflows
2. Excellent safety mechanisms: Version checks, confirmations, TestPyPI verification
3. Comprehensive testing: Both package building and installation verification
4. Professional error handling: Clear messages and graceful failures
5. Documentation consistency: Dynamic badges keep docs current
6. Complete audit trail: CHANGELOG properly documents all changes

💡 Minor Suggestions

1. Workflow dependency clarity: Consider adding workflow status badges to README to show current CI/CD health
2. Version consistency: The changelog shows minimum Python 3.10 (line 116) but README shows 3.10+ (line 113) - good alignment
3. Release process documentation: The PR description includes an excellent post-merge checklist

🔐 Security Review

• API tokens properly secured via GitHub secrets
• Manual confirmation required for production releases
• No hardcoded credentials or sensitive data
• Proper permissions scoping in workflows

🚀 Release Process Assessment

The described post-merge process is solid:

1. Manual TestPyPI workflow ✅
2. Create GitHub release ✅
3. Automatic PyPI publishing ✅
4. Dynamic badge updates ✅

✨ Recommendation

APPROVE - This is a well-architected release automation setup that follows best practices for Python package publishing. The workflow separation, safety mechanisms, and documentation improvements make this a solid foundation for automated releases.