# Infrastructure & Process Roadmap — clewso

**Current Phase:** Alpha
**Target:** Production-ready open-source project

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## Alpha (Current Phase) ✅

### Completed
- ✅ Core functionality (search, traverse, MCP tools)
- ✅ Unit tests for all adapters
- ✅ Integration tests for MCP server
- ✅ Security hardening (input validation, Cypher injection protection)
- ✅ Configuration management (env vars, no hardcoded secrets)
- ✅ Docker compose setup for local development
- ✅ Code quality baseline (ruff, type hints)

### Gaps
- ❌ CI/CD pipeline
- ❌ Automated test coverage reporting
- ❌ Dependency vulnerability scanning
- ❌ Public documentation site

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## Beta Targets

### Testing & Quality (Target: 70% coverage)
- [ ] **GitHub Actions CI/CD**
  - Run `pytest` on every PR
  - Run `ruff` linting
  - Run `mypy` type checking
  - Block merge if tests fail

- [ ] **Test Coverage Tooling**
  - Integrate `pytest-cov`
  - Set minimum threshold: 70%
  - Generate HTML reports
  - Upload to Codecov or similar

- [ ] **Complexity Analysis**
  - Add `radon` or `lizard` to CI
  - Flag functions with CC > 15
  - Flag functions > 50 lines
  - Generate complexity reports

### Security & Dependencies
- [ ] **Dependency Scanning**
  - Enable Dependabot (GitHub native)
  - Or integrate `pip-audit` in CI
  - Weekly automated PR for updates
  - Security advisory notifications

- [ ] **Static Analysis**
  - Add `bandit` for security linting
  - Check for SQL injection patterns
  - Check for hardcoded secrets
  - SAST integration (optional)

### Documentation
- [ ] **API Documentation**
  - MkDocs or Sphinx setup
  - Auto-generate from docstrings
  - OpenAPI schema generation
  - Publish to GitHub Pages

- [ ] **Usage Examples**
  - Quickstart guide
  - Common patterns
  - Troubleshooting section
  - Architecture overview

### Observability
- [ ] **Logging Strategy**
  - Structured logging (JSON)
  - Log levels per environment
  - Sensitive data redaction
  - Log aggregation recommendations

- [ ] **Metrics** (optional for beta)
  - Request latency tracking
  - Error rate monitoring
  - Adapter health checks
  - Prometheus/OpenTelemetry integration

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## Production Targets

### Testing (Target: 85% coverage)
- [ ] Increase test coverage from 70% → 85%
- [ ] Add chaos/fuzz testing for adapters
- [ ] Load testing for concurrent requests
- [ ] Integration tests with real Neo4j/Qdrant instances

### Performance
- [ ] Benchmark suite for search/traverse operations
- [ ] Query optimization guidelines
- [ ] Caching strategy documentation
- [ ] Connection pooling best practices

### Deployment
- [ ] Kubernetes manifests
- [ ] Helm charts
- [ ] Health check endpoints standardization
- [ ] Graceful shutdown handling
- [ ] Rolling update strategy

### Documentation
- [ ] API reference (complete)
- [ ] Architecture decision records (ADRs)
- [ ] Contributor guidelines
- [ ] Security policy
- [ ] Release process documentation

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## Decision Log

### CI/CD Platform: GitHub Actions (Recommended)
**Rationale:**
- Native GitHub integration
- Free for public repos
- Good Python/pytest support
- Easy secrets management

**Alternatives considered:**
- CircleCI (overkill for project size)
- GitLab CI (would require migration)

### Documentation: MkDocs (Recommended)
**Rationale:**
- Simple Markdown-based
- Good Python project integration
- Material theme is polished
- GitHub Pages deployment

**Alternatives considered:**
- Sphinx (more complex, RST format)
- Docusaurus (React-based, heavier)

### Coverage Tool: pytest-cov + Codecov
**Rationale:**
- Seamless pytest integration
- Codecov has good GitHub integration
- Visual diff on PRs
- Free for open-source

### Complexity Analysis: radon
**Rationale:**
- Python-native
- Fast execution
- Multiple metrics (CC, MI, LOC)
- Easy CI integration

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## Implementation Priority

**Phase 1 (Week 1):** CI/CD foundation
1. Set up GitHub Actions workflow
2. Run tests on PR
3. Run linting on PR

**Phase 2 (Week 2):** Quality metrics
1. Add pytest-cov with 70% threshold
2. Add radon complexity checks
3. Set up Codecov integration

**Phase 3 (Week 3):** Security & dependencies
1. Enable Dependabot
2. Add pip-audit to CI
3. Add bandit security linting

**Phase 4 (Week 4):** Documentation
1. Set up MkDocs
2. Write quickstart guide
3. Generate API reference
4. Publish to GitHub Pages

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## Resources & References

- [GitHub Actions for Python](https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python)
- [pytest-cov documentation](https://pytest-cov.readthedocs.io/)
- [MkDocs setup guide](https://www.mkdocs.org/getting-started/)
- [Dependabot config](https://docs.github.com/en/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file)
- [radon documentation](https://radon.readthedocs.io/)

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**Note:** This roadmap is a living document. Update as priorities shift or new requirements emerge.
