6.8 KiB
6.8 KiB
Wiki.js Python SDK - Release Plan
Project Name: wikijs-python-sdk
Repository: https://github.com/yourusername/wikijs-python-sdk
License: MIT
Target Audience: Python developers, DevOps engineers, Data scientists
📋 Project Overview
Vision Statement
Develop a production-ready Python SDK for Wiki.js that evolves from a simple, functional MVP to a comprehensive enterprise-grade solution through incremental releases.
Release Philosophy
- MVP First: Ship a working, useful product quickly
- Incremental Value: Each release adds meaningful functionality
- Backward Compatibility: Maintain API stability across releases
- Community Driven: Gather feedback and iterate
Success Metrics
- Adoption: >100 PyPI downloads in first month
- Quality: >90% test coverage maintained
- Community: >10 GitHub stars, >3 contributors
- Stability: <1% error rate in production usage
🎯 Release Timeline
gantt
title Wiki.js SDK Development Timeline
dateFormat YYYY-MM-DD
section Phase 1: MVP
Project Setup :p1-setup, 2025-07-29, 3d
Core Implementation :p1-core, after p1-setup, 8d
Release v0.1.0 :milestone, p1-release, after p1-core, 1d
section Phase 2: Essential Features
API Expansion :p2-features, after p1-release, 10d
Release v0.2.0 :milestone, p2-release, after p2-features, 1d
section Phase 3: Production Ready
Reliability Features :p3-reliability, after p2-release, 15d
Release v0.3.0 :milestone, p3-release, after p3-reliability, 1d
section Phase 4: Enterprise
Advanced Features :p4-advanced, after p3-release, 20d
Release v1.0.0 :milestone, p4-release, after p4-advanced, 1d
🚀 Phase 1: MVP Release (v0.1.0)
Target: 2 weeks from start
Goal: Basic, functional Wiki.js integration
Core Features
- HTTP Client: Synchronous requests with basic error handling
- Authentication: API key authentication
- Pages API: Complete CRUD operations (list, get, create, update, delete)
- Models: Type-safe data models with validation
- Testing: Comprehensive test suite with >85% coverage
- Documentation: API documentation and usage examples
Success Criteria
- Package installable via
pip install wikijs-python-sdk - Basic page operations work with real Wiki.js instance
- >85% test coverage with passing CI/CD
- Complete API documentation
Detailed task breakdown available in CLAUDE.md
🔧 Phase 2: Essential Features (v0.2.0)
Target: 4 weeks from start
Goal: Complete API coverage and enhanced usability
Key Features
- Complete API Coverage: Users, Groups, Assets, System APIs
- Enhanced Error Handling: Detailed error context and recovery suggestions
- Configuration System: File-based and environment variable configuration
- Basic CLI: Command-line interface for common operations
- Improved Documentation: Comprehensive guides and examples
Success Criteria
- All major Wiki.js APIs covered
- Configuration via files and environment variables
- Basic CLI functionality working
- >90% test coverage
- Performance benchmarks established
⚡ Phase 3: Production Ready (v0.3.0)
Target: 7 weeks from start
Goal: Enterprise-grade reliability and performance
Key Features
- Retry Logic: Exponential backoff with jitter for failed requests
- Circuit Breaker: Fault tolerance for unreliable connections
- Intelligent Caching: Multi-backend caching with smart invalidation
- Rate Limiting: Respect API limits and prevent abuse
- Monitoring: Performance metrics and health monitoring
- Bulk Operations: Efficient batch processing capabilities
Success Criteria
- Production-ready reliability features
- Performance benchmarks show >50% improvement
- Cache hit ratio >80% in typical usage
- Zero-downtime error handling
- Comprehensive monitoring and logging
🌟 Phase 4: Enterprise Grade (v1.0.0)
Target: 11 weeks from start
Goal: Full-featured enterprise SDK
Key Features
- Async Support: Complete asyncio integration with aiohttp
- Advanced CLI: Interactive mode, progress bars, bulk operations
- Plugin Architecture: Extensible middleware and custom auth providers
- Advanced Security: JWT rotation, OAuth2, audit logging
- Enterprise Features: Multi-tenancy, custom headers, webhooks
- Performance Optimizations: Connection pooling, request batching
Success Criteria
- Feature parity with official SDKs
- Async performance >3x sync performance
- Plugin ecosystem established
- Enterprise security features complete
- Comprehensive documentation and tutorials
📦 Deployment & Distribution
Release Process
- Automated Testing: All tests pass with quality gates
- Security Scanning: Dependency and code security validation
- Performance Benchmarking: Regression testing
- Documentation Update: Synchronized with code changes
- PyPI Publishing: Automated package distribution
- GitHub Release: Tagged release with changelog
Version Management
- Semantic Versioning: MAJOR.MINOR.PATCH
- MAJOR: Breaking changes
- MINOR: New features, backward compatible
- PATCH: Bug fixes, backward compatible
Quality Gates
| Check | Tool | Threshold |
|---|---|---|
| Tests | pytest | 100% pass |
| Coverage | pytest-cov | >90% |
| Types | mypy | 100% pass |
| Lint | flake8 | 0 errors |
| Security | bandit | 0 issues |
| Format | black | 100% formatted |
🤝 Community & Maintenance
Community Building
- Documentation First: Comprehensive guides and examples
- Issue Templates: Structured bug reports and feature requests
- Contributing Guidelines: Clear onboarding for new contributors
- Code of Conduct: Inclusive community standards
Long-term Maintenance
- Regular Updates: Monthly releases with improvements
- Security Patches: Rapid response to security issues
- Compatibility: Support for new Wiki.js versions
- Performance: Continuous optimization and monitoring
📈 Success Tracking
Key Metrics
- PyPI Downloads: Measure adoption growth
- GitHub Engagement: Stars, forks, issues, PRs
- Test Coverage: Maintain >90% throughout development
- Performance: Response time and throughput benchmarks
- Community: Contributors, issue resolution time
Milestone Reviews
- After Each Phase: Comprehensive retrospective
- Process Optimization: Improve development efficiency
- Community Feedback: Incorporate user suggestions
- Technical Debt: Address accumulated debt
For detailed development tasks and coordination, see CLAUDE.md