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PRD.md

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+# Product Requirements Document (PRD)
+## Wangkanai Planet - Planetary Distributed Map Service
+
+> **Version:** 1.0  
+> **Date:** January 2025  
+> **Status:** Active Development  
+
+---
+
+## 🎯 Executive Summary
+
+Wangkanai Planet is a modern, high-performance geospatial data processing and tile serving platform built on .NET 9.0. The platform enables organizations to efficiently convert, store, and serve geospatial data through standardized web protocols, making it accessible to desktop and mobile mapping applications worldwide.
+
+## 🎯 Product Vision
+
+**"To democratize geospatial data access by providing a lightweight, cross-platform solution that transforms complex geospatial datasets into web-optimized map tiles accessible through industry-standard protocols."**
+
+## 📊 Market Analysis
+
+### Target Market
+- **Primary:** GIS departments in government agencies and enterprises
+- **Secondary:** Mapping service providers and geospatial consultancies  
+- **Tertiary:** Open-source GIS community and research institutions
+
+### Market Need
+- Complex geospatial data is difficult to serve efficiently on the web
+- Proprietary solutions are expensive and vendor-locked
+- Need for cross-platform, standards-compliant tile serving
+- Growing demand for self-hosted mapping solutions
+
+## 👥 User Personas
+
+### GIS Analyst (Primary User)
+- **Role:** Processes and publishes geospatial data
+- **Pain Points:** Complex toolchains, performance bottlenecks, format compatibility
+- **Goals:** Efficient data processing, reliable tile serving, standards compliance
+
+### System Administrator (Secondary User)
+- **Role:** Deploys and maintains mapping infrastructure
+- **Pain Points:** Complex deployment, monitoring, scaling challenges
+- **Goals:** Simple deployment, reliable operations, performance monitoring
+
+### Developer/Integrator (Tertiary User)
+- **Role:** Integrates mapping services into applications
+- **Pain Points:** API complexity, documentation gaps, protocol variations
+- **Goals:** Simple integration, comprehensive APIs, consistent protocols
+
+## 🎯 Product Goals
+
+### Primary Goals
+1. **Efficient Processing** - Convert GeoTIFF files to web-optimized tiles in under 30 seconds per GB
+2. **Standards Compliance** - Support OGC standards (WMS, WMTS) and industry formats (MBTiles, GeoPackage)
+3. **Cross-Platform** - Run on Windows, Linux, macOS with containerization support
+4. **Scalability** - Handle concurrent tile requests with sub-second response times
+
+### Secondary Goals
+1. **Developer Experience** - Intuitive APIs and comprehensive documentation
+2. **Operational Excellence** - Simple deployment, monitoring, and maintenance
+3. **Extensibility** - Plugin architecture for custom formats and providers
+4. **Performance** - Optimized memory usage and processing speed
+
+## ✨ Core Features
+
+### Phase 1: MVP Foundation
+- **Core Processing Engine** - GeoTIFF to tile conversion
+- **Basic Tile Serving** - HTTP-based tile delivery (XYZ format)
+- **Storage Support** - MBTiles and file system storage
+- **Console Interface** - Command-line processing tools
+- **Basic Web Portal** - Tile preview and management
+
+### Phase 2: Protocol & Format Expansion
+- **Protocol Support** - WMS, WMTS, TMS implementation
+- **Format Support** - GeoPackage, multiple raster formats
+- **Provider Integration** - Bing Maps, Google Maps connectivity
+- **Advanced Portal** - Administrative interface with user management
+- **Performance Optimization** - Caching, concurrent processing
+
+### Phase 3: Production Readiness
+- **Vector Tile Support** - Vector data processing and serving
+- **Advanced Features** - Tile styling, metadata management
+- **Cloud Integration** - Azure, AWS, GCP deployment templates
+- **Monitoring & Analytics** - Usage metrics, performance monitoring
+- **Enterprise Features** - Authentication, authorization, audit logging
+
+## 🏗️ System Architecture
+
+### Core Components
+
+#### Engine (Processing Core)
+- **Purpose:** Convert geospatial data to optimized tiles
+- **Input:** GeoTIFF, GeoPackage, vector formats
+- **Output:** MBTiles, GeoPackage, file system tiles
+- **Performance:** Multi-threaded processing, memory optimization
+
+#### Portal (Web Interface)
+- **Technology:** ASP.NET Core with Blazor WebAssembly
+- **Features:** Tile preview, data management, user interface
+- **Architecture:** Clean architecture with CQRS pattern
+- **Authentication:** ASP.NET Core Identity
+
+#### Spatial Libraries
+- **Wangkanai.Spatial** - Coordinate systems, projections
+- **Wangkanai.Graphics** - Image processing, format support
+- **Wangkanai.Protocols** - WMS, WMTS, TMS implementations
+
+### Supporting Components
+- **Extensions** - Plugin architecture for custom functionality
+- **Providers** - Third-party service integrations
+- **Editor** - Desktop preprocessing tools
+
+## 📋 Functional Requirements
+
+### F1: Data Processing
+- **F1.1** Convert GeoTIFF files to MBTiles format
+- **F1.2** Support zoom levels 0-22 with configurable ranges
+- **F1.3** Handle coordinate system transformations (EPSG database)
+- **F1.4** Process files up to 10GB in size
+- **F1.5** Generate tile pyramids with multiple formats (PNG, JPEG, WebP)
+
+### F2: Tile Serving
+- **F2.1** Serve tiles via HTTP GET requests (XYZ format)
+- **F2.2** Implement WMS GetMap requests
+- **F2.3** Implement WMTS GetTile requests
+- **F2.4** Support TileJSON metadata format
+- **F2.5** Handle CORS for web client access
+
+### F3: Data Management
+- **F3.1** Import multiple geospatial formats
+- **F3.2** Organize data in hierarchical layers
+- **F3.3** Manage tile metadata and properties
+- **F3.4** Support data validation and integrity checks
+- **F3.5** Enable data export and backup
+
+### F4: Web Portal
+- **F4.1** Tile preview with interactive map
+- **F4.2** Data upload and processing interface
+- **F4.3** User management and authentication
+- **F4.4** Processing job monitoring and logs
+- **F4.5** System administration interface
+
+## 📊 Non-Functional Requirements
+
+### Performance
+- **Processing Speed:** 30 seconds per GB for GeoTIFF conversion
+- **Tile Response Time:** < 200ms for cached tiles, < 1s for dynamic tiles
+- **Concurrent Users:** Support 100 concurrent tile requests
+- **Memory Usage:** < 2GB RAM for typical workloads
+
+### Reliability
+- **Uptime:** 99.5% availability for tile serving
+- **Data Integrity:** Zero data loss during processing
+- **Error Recovery:** Graceful handling of processing failures
+- **Monitoring:** Health checks and performance metrics
+
+### Scalability
+- **Horizontal Scaling:** Support load balancer deployment
+- **Storage Scaling:** Handle terabytes of tile data
+- **Processing Scaling:** Distribute processing across multiple nodes
+- **Container Support:** Docker and Kubernetes deployment
+
+### Security
+- **Authentication:** User account management
+- **Authorization:** Role-based access control
+- **Data Protection:** Secure data transmission (HTTPS)
+- **Audit Logging:** Track user actions and system events
+
+### Usability
+- **Documentation:** Comprehensive user and developer guides
+- **Error Messages:** Clear, actionable error descriptions
+- **Installation:** One-command deployment via Docker
+- **Configuration:** Environment-based configuration management
+
+## 🛠️ Technical Constraints
+
+### Platform Requirements
+- **.NET 9.0** - Target framework for all components
+- **Cross-Platform** - Windows, Linux, macOS support
+- **Container Support** - Docker containerization
+- **Database** - SQLite (embedded) and PostgreSQL (enterprise)
+
+### External Dependencies
+- **GDAL** - Geospatial data processing (via P/Invoke)
+- **Proj** - Coordinate system transformations
+- **ImageSharp** - Image processing and format support
+- **Entity Framework Core** - Data access layer
+
+### Performance Constraints
+- **Memory** - Efficient memory usage for large datasets
+- **Storage** - Optimized tile storage and compression
+- **Network** - Minimize bandwidth usage with compression
+- **CPU** - Multi-threaded processing optimization
+
+## 📅 Release Planning
+
+### Phase 1: Foundation (Months 1-3)
+- Core processing engine development
+- Basic tile serving implementation
+- Console application interface
+- Unit testing and CI/CD pipeline
+
+### Phase 2: Expansion (Months 4-6)
+- Web portal development
+- Protocol implementations (WMS, WMTS)
+- Format expansion (GeoPackage, vector support)
+- Performance optimization
+
+### Phase 3: Production (Months 7-9)
+- Cloud deployment templates
+- Monitoring and analytics
+- Enterprise features
+- Documentation completion
+
+## ✅ Success Metrics
+
+### Technical Metrics
+- **Processing Performance:** < 30 seconds per GB
+- **Tile Response Time:** < 200ms average
+- **Test Coverage:** > 90% code coverage
+- **Documentation Coverage:** 100% public API documentation
+
+### Business Metrics
+- **Community Adoption:** 100+ GitHub stars
+- **Usage Growth:** 50+ active installations
+- **Contributor Growth:** 10+ external contributors
+- **Format Support:** 5+ input formats, 3+ output formats
+
+## 🎯 Acceptance Criteria
+
+### MVP Acceptance
+- [x] Convert GeoTIFF to MBTiles successfully
+- [ ] Serve tiles via HTTP with < 1s response time
+- [ ] Process 1GB file in < 30 seconds
+- [ ] Web portal displays tiles correctly
+- [ ] Command-line tools work as documented
+
+### Production Acceptance
+- [ ] Support all documented protocols (WMS, WMTS, TMS)
+- [ ] Handle 100 concurrent users
+- [ ] Zero data loss during processing
+- [ ] Complete documentation and tutorials
+- [ ] Automated deployment via Docker
+
+## 📚 Dependencies
+
+### Internal Dependencies
+- Graphics library development
+- Spatial processing library
+- Protocol implementation
+- Web portal framework
+
+### External Dependencies
+- GDAL library availability
+- .NET 9.0 runtime deployment
+- Container orchestration platforms
+- Database deployment options
+
+## 🔄 Assumptions & Risks
+
+### Assumptions
+- Users have basic GIS knowledge
+- Standard web browsers support required features
+- Network bandwidth sufficient for tile serving
+- Storage capacity adequate for tile caching
+
+### Risks
+- **Technical:** GDAL integration complexity
+- **Performance:** Large dataset processing limitations
+- **Adoption:** Competition from established solutions
+- **Maintenance:** Long-term dependency management
+
+### Mitigation Strategies
+- Comprehensive testing with diverse datasets
+- Performance benchmarking and optimization
+- Clear differentiation from existing solutions
+- Automated dependency management and updates
+
+---
+
+## 📞 Stakeholder Contacts
+
+- **Product Owner:** Wangkanai Development Team
+- **Technical Lead:** Core Development Team
+- **Community Manager:** Open Source Community
+- **Documentation Lead:** Technical Writing Team
+
+## 📝 Document History
+
+| Version | Date | Changes | Author |
+|---------|------|---------|---------|
+| 1.0 | January 2025 | Initial PRD creation | Development Team |
+
+---
+
+*This PRD is a living document and will be updated as the product evolves and requirements change.*