mithun50 8c0559ca9a feat: add comprehensive test suite, CI/CD workflows, and install command
Major improvements to SuperClaude Framework infrastructure and testing:

## New Features
- Add 'superclaude install' command to install slash commands (/research, /index-repo, /agent, /recommend)
- Create comprehensive test suite with 71 tests (70 passing, 1 skipped)
- Add GitHub Actions CI/CD workflows for automated testing
- Add essential documentation files (PLANNING.md, TASK.md, KNOWLEDGE.md)

## Testing
- tests/unit/: 59 tests covering PM Agent components
  - test_confidence.py: 13 tests for ConfidenceChecker
  - test_self_check.py: 14 tests for SelfCheckProtocol
  - test_reflexion.py: 9 tests for ReflexionPattern
  - test_token_budget.py: 12 tests for TokenBudgetManager
  - test_cli_install.py: 12 tests for install command (NEW)
- tests/integration/: 11 tests for pytest plugin integration
- tests/conftest.py: Shared fixtures for all tests

## CI/CD Workflows
- .github/workflows/test.yml: Comprehensive test matrix
  - Tests on Python 3.10, 3.11, 3.12
  - Lint and format checks with ruff
  - Pytest plugin verification
  - SuperClaude doctor health checks
  - Coverage reporting with Codecov
- .github/workflows/quick-check.yml: Fast PR validation (~2-3 min)
- .github/workflows/README.md: Workflow documentation

## Documentation
- PLANNING.md: Architecture, design principles, absolute rules
- TASK.md: Current tasks, priorities, backlog
- KNOWLEDGE.md: Accumulated insights, best practices, troubleshooting

## Bug Fixes
- Fix .gitignore contradictions (remove conflicting Claude Code patterns)
- Fix TokenBudgetManager to properly validate and default invalid complexity
- Update package.json version to 4.1.6 (sync with VERSION file)

## CLI Improvements
- src/superclaude/cli/install_commands.py: Command installation logic
- src/superclaude/cli/main.py: Add 'install' command with --list and --force options
- README.md: Update installation instructions with correct commands

## Breaking Changes
None - all changes are backwards compatible

## Migration Guide
Users should run 'superclaude install' after upgrading to install slash commands

Fixes #466 (indirectly by clarifying installation process)
Refs #419 (plugin system - documentation updated)

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-11 18:21:22 +01:00

5.2 KiB

GitHub Actions Workflows

This directory contains CI/CD workflows for SuperClaude Framework.

Workflows

1. test.yml - Comprehensive Test Suite

Triggers: Push/PR to master or integration, manual dispatch Jobs:

  • test: Run tests on Python 3.10, 3.11, 3.12
    • Install UV and dependencies
    • Run full test suite
    • Generate coverage report (Python 3.10 only)
    • Upload to Codecov
  • lint: Run ruff linter and format checker
  • plugin-check: Verify pytest plugin loads correctly
  • doctor-check: Run superclaude doctor health check
  • test-summary: Aggregate results from all jobs

Status Badge:

[![Tests](https://github.com/SuperClaude-Org/SuperClaude_Framework/actions/workflows/test.yml/badge.svg)](https://github.com/SuperClaude-Org/SuperClaude_Framework/actions/workflows/test.yml)

2. quick-check.yml - Fast PR Feedback

Triggers: Pull requests to master or integration Jobs:

  • quick-test: Fast check on Python 3.10 only
    • Run unit tests only (faster)
    • Run linter
    • Check formatting
    • Verify plugin loads
    • 10 minute timeout

Purpose: Provide rapid feedback on PRs before running full test matrix.

3. publish-pypi.yml (Existing)

Triggers: Manual or release tags Purpose: Publish package to PyPI

4. readme-quality-check.yml (Existing)

Triggers: Push/PR affecting README files Purpose: Validate README quality and consistency

Local Testing

Before pushing, run these commands locally:

# Run full test suite
uv run pytest -v

# Run with coverage
uv run pytest --cov=superclaude --cov-report=term

# Run linter
uv run ruff check src/ tests/

# Check formatting
uv run ruff format --check src/ tests/

# Auto-fix formatting
uv run ruff format src/ tests/

# Verify plugin loads
uv run pytest --trace-config | grep superclaude

# Run doctor check
uv run superclaude doctor --verbose

CI/CD Pipeline

┌─────────────────────┐
│   Push/PR Created   │
└──────────┬──────────┘
           │
           ├─────────────────────────┐
           │                         │
    ┌──────▼──────┐         ┌───────▼────────┐
    │ Quick Check │         │  Full Test     │
    │  (PR only)  │         │   Matrix       │
    │             │         │                │
    │ • Unit tests│         │ • Python 3.10  │
    │ • Lint      │         │ • Python 3.11  │
    │ • Format    │         │ • Python 3.12  │
    │             │         │ • Coverage     │
    │ ~2-3 min    │         │ • Lint         │
    └─────────────┘         │ • Plugin check │
                            │ • Doctor check │
                            │                │
                            │ ~5-8 min       │
                            └────────────────┘

Coverage Reporting

Coverage reports are generated for Python 3.10 and uploaded to Codecov.

To view coverage locally:

uv run pytest --cov=superclaude --cov-report=html
open htmlcov/index.html

Troubleshooting

Workflow fails with "UV not found"

  • UV is installed in each job via curl -LsSf https://astral.sh/uv/install.sh | sh
  • If installation fails, check UV's status page

Tests fail locally but pass in CI (or vice versa)

  • Check Python version: python --version
  • Reinstall dependencies: uv pip install -e ".[dev]"
  • Clear caches: rm -rf .pytest_cache .venv

Plugin not loading in CI

  • Verify entry point in pyproject.toml: [project.entry-points.pytest11]
  • Check plugin is installed: uv run pytest --trace-config

Coverage upload fails

  • This is non-blocking (fail_ci_if_error: false)
  • Check Codecov token in repository secrets

Maintenance

Adding a New Workflow

  1. Create new .yml file in this directory
  2. Follow existing structure (checkout, setup-python, install UV)
  3. Add status badge to README.md if needed
  4. Document in this file

Updating Python Versions

  1. Edit matrix.python-version in test.yml
  2. Update pyproject.toml classifiers
  3. Test locally with new version first

Modifying Test Strategy

  • quick-check.yml: For fast PR feedback (unit tests only)
  • test.yml: For comprehensive validation (full matrix)

Best Practices

  1. Keep workflows fast: Use caching, parallel jobs
  2. Fail fast: Use -x flag in pytest for quick-check
  3. Clear names: Job and step names should be descriptive
  4. Version pinning: Pin action versions (@v4, @v5)
  5. Matrix testing: Test on multiple Python versions
  6. Non-blocking coverage: Don't fail on coverage upload errors
  7. Manual triggers: Add workflow_dispatch for debugging

Resources