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Translator\n\n[![CI](https://github.com/Axios-Software-Inc/ghgmet-model-translator/workflows/CI%20-%20Pull%20Request%20Validation/badge.svg)](https://github.com/Axios-Software-Inc/ghgmet-model-translator/actions/workflows/ci.yml)\n[![CD](https://github.com/Axios-Software-Inc/ghgmet-model-translator/workflows/CD%20-%20Release%20and%20Publish/badge.svg)](https://github.com/Axios-Software-Inc/ghgmet-model-translator/actions/workflows/cd.yml)\n[![Security](https://github.com/Axios-Software-Inc/ghgmet-model-translator/workflows/Security%20and%20Dependencies/badge.svg)](https://github.com/Axios-Software-Inc/ghgmet-model-translator/actions/workflows/security.yml)\n[![TypeScript](https://img.shields.io/badge/TypeScript-5.0+-blue.svg)](https://www.typescriptlang.org/)\n[![Node.js](https://img.shields.io/badge/Node.js-18+-green.svg)](https://nodejs.org/)\n[![License](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)\n[![npm version](https://badge.fury.io/js/%40axios-software%2Fghgmet-model-translator.svg)](https://badge.fury.io/js/%40axios-software%2Fghgmet-model-translator)\n[![Phase](https://img.shields.io/badge/Status-Production%20Ready-brightgreen.svg)](#production-status)\n[![Test Coverage](https://img.shields.io/badge/Coverage-77%25-green.svg)](#testing)\n\n> Transform agricultural field data into model-specific input formats for greenhouse gas modeling\n\nThe GHGMet Model Translator is a production-ready TypeScript library that converts standardized agricultural field datasets into model-specific input formats for agricultural greenhouse gas models. It supports batch processing, comprehensive validation, and extensible architecture for multiple model types.\n\n## πŸ“¦ Installation\n\n```bash\n# NPM (recommended)\nnpm install @axios-software/ghgmet-model-translator\n\n# Yarn\nyarn add @axios-software/ghgmet-model-translator\n\n# pnpm\npnpm add @axios-software/ghgmet-model-translator\n```\n\n**Current Version:** `0.1.3` - [View Changelog](https://github.com/Axios-Software-Inc/ghgmet-model-translator/releases)\n\n## πŸš€ Quick Start\n\n### πŸ‘₯ For New Developers\n\n**Ready to contribute?** See [QUICKSTART.md](./QUICKSTART.md) for express 5-minute setup!\n\n### πŸ“¦ For Package Users\n\n```typescript\nimport { TranslatorEngine, ConfigManager } from '@axios-software/ghgmet-model-translator';\nimport {\n Daycent30cmTranslator,\n LandscapeDndcTranslator,\n} from '@axios-software/ghgmet-model-translator';\n\n// Initialize translator engine\nconst configManager = new ConfigManager();\nconst translator = new TranslatorEngine(configManager);\n\n// Register translators for supported models\ntranslator.registerTranslator('daycent_30cm', new Daycent30cmTranslator());\ntranslator.registerTranslator('landscape_dndc', new LandscapeDndcTranslator());\n\n// Translate field data\nconst result = await translator.translateBatch({\n requestId: 'run-001',\n fields: fieldDatasets,\n});\n\nconsole.log(`βœ… Translated ${result.successful.length} fields successfully`);\n```\n\n## 🎯 Production Status\n\n**βœ… Production Ready** - All 8 development phases complete\n\n- βœ… **Core Translation Engine**: Robust field data transformation with comprehensive error handling\n- βœ… **Multi-Model Support**: DayCent 30cm and Landscape DNDC translators with extensible architecture\n- βœ… **Validation Framework**: Input validation, data integrity checks, and configurable error handling\n- βœ… **Spatial Data Integration**: Hybrid provider architecture with external APIs and internal database support\n- βœ… **CI/CD Pipeline**: Automated testing, security auditing, and dual NPM/GitHub Packages publishing\n- βœ… **Production Deployment**: Docker support, monitoring, scaling considerations, and performance optimization\n- βœ… **Comprehensive Testing**: 102 tests passing with 77% coverage across all components\n- βœ… **Integration Ready**: Real-world usage patterns and Model Controller integration examples\n\n**Ready for Production Deployment** πŸš€\n\n## πŸš€ Features\n\n- **Multi-Model Support**: DayCent 30cm, Landscape DNDC, with plugin architecture for future models\n- **Batch Processing**: Handle 1-50 field datasets in a single request\n- **Advanced Validation Framework**:\n - Management event chronology with seasonal timing validation\n - Fertilizer rate validation with nutrient balance checking\n - Irrigation amount validation with timing pattern analysis\n - Auto-correction capabilities with safety limit enforcement\n - Agricultural intelligence with crop-specific validation ranges\n- **Hybrid Spatial Data Architecture**:\n - Multi-source provider support (external APIs + internal database)\n - Automatic fallback chains with configurable selection strategies\n - Geographic coverage awareness and intelligent routing\n - Performance-optimized caching with spatial locality\n - Support for researcher-provided custom spatial data\n- **Fail-Soft Error Handling**: Collect all errors in a single pass for better user feedback\n- **Type Safety**: Full TypeScript implementation with strict type checking\n- **Cross-Platform**: Windows, macOS, and Linux support\n- **CLI Tool**: Comprehensive command-line interface for development and testing\n\n## πŸ–₯️ CLI Tool\n\nThe GHGMet Model Translator includes a powerful CLI tool for developers and researchers:\n\n```bash\n# Install globally\nnpm install -g @axios-software/ghgmet-model-translator\n\n# Or use npx\nnpx ghgmet-cli --help\n```\n\n### Key CLI Features\n\n- **File Translation**: Convert between DayCent and LDNDC formats\n- **Schema Validation**: Comprehensive validation with Danish agricultural standards\n- **File Analysis**: Extract detailed information about agricultural datasets\n- **Model Comparison**: Compare DayCent vs LDNDC schemas and files\n- **Batch Processing**: Handle multiple fields efficiently\n- **Danish Integration**: Built-in support for Danish soil and weather data\n\n### Quick CLI Examples\n\n```bash\n# Translate a file\nghgmet-cli translate input.json -o output.json\n\n# Validate against schema and Danish standards\nghgmet-cli validate field-data.json --denmark-validation\n\n# Analyze file contents\nghgmet-cli info agricultural-data.json --coordinates --crops\n\n# Compare model approaches\nghgmet-cli compare --schemas\n```\n\nπŸ“– **[Full CLI Documentation](./docs/cli/README.md)**\n\n## πŸ“¦ Installation\n\n### NPM Package (Phase 1)\n\n```bash\nnpm install @axios-software/ghgmet-model-translator\n```\n\n### Usage\n\n```typescript\nimport { ModelTranslator } from '@axios-software/ghgmet-model-translator';\n\nconst translator = new ModelTranslator({\n spatialDataUrl: process.env.SPATIAL_SERVICE_URL,\n weatherApiKey: process.env.WEATHER_API_KEY,\n});\n\n// Translate batch of field datasets\nconst result = await translator.translateBatch({\n requestId: 'batch-001',\n fields: [\n {\n fieldId: 'field-001',\n modelType: 'daycent_30cm',\n geometry: {\n /* GeoJSON polygon */\n },\n management: {\n /* crop rotations, tillage, fertilizers */\n },\n scenarios: [\n /* scenario definitions */\n ],\n },\n ],\n});\n\n// Access model-specific outputs\nconsole.log(result.translations[0].payload); // DayCent JSON format\n```\n\n## πŸ—οΈ Architecture\n\n```mermaid\ngraph TB\n A[Model Run Controller] --> B[Translator Engine]\n B --> C{Model Type Router}\n C -->|daycent_30cm| D[DayCent 30cm Translator]\n C -->|landscape_dndc| E[Landscape DNDC Translator]\n\n D --> F[Spatial Data Service]\n E --> F\n\n F --> G[SSURGO/STATSGO
Soil Data]\n F --> H[PRISM
Climate Data]\n F --> I[NOAA
Weather Data]\n\n D --> J[DayCent JSON Output]\n E --> K[LDNDC JSON Output]\n```\n\n### Key Design Patterns\n\n- **Plugin Architecture**: Extensible translator system\n- **Fail-Soft Processing**: Continue on errors to collect comprehensive feedback\n- **Base Class Pattern**: Shared validation with model-specific implementations\n- **Strategy Pattern**: Different translation strategies per model type\n\n## 🎯 Supported Models\n\n| Model | Status | Description |\n| ------------------ | ------------ | ------------------------------------------------ |\n| **DayCent 30cm** | βœ… Supported | Agricultural GHG model with 30cm soil depth |\n| **Landscape DNDC** | βœ… Supported | Landscape-scale model with hydrology integration |\n| **COMET-Farm** | 🚧 Planned | USDA carbon accounting model |\n| **Standard DNDC** | 🚧 Planned | Point-scale biogeochemical model |\n\n## πŸ“Š Input/Output Examples\n\n### Input (Standardized Format)\n\n```json\n{\n \"fieldId\": \"field-001\",\n \"modelType\": \"daycent_30cm\",\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [[[...]]],\n \"area\": 120.5\n },\n \"management\": {\n \"currentRotation\": [\n {\n \"year\": 2020,\n \"crops\": [{\"name\": \"Corn\", \"plantingDate\": \"2020-05-01\"}],\n \"fertilizers\": [{\"type\": \"Urea\", \"rate\": 150, \"units\": \"lbs/acre\"}]\n }\n ]\n }\n}\n```\n\n### Output (DayCent 30cm Format)\n\n```json\n{\n \"fieldId\": \"field-001\",\n \"modelType\": \"daycent_30cm\",\n \"success\": true,\n \"payload\": {\n \"weatherFiles\": [{ \"fileName\": \"gridx_665_gridy_221.wth\" }],\n \"siteFiles\": [{ \"fileName\": \"31159_665_221_1691220_till_N\" }],\n \"scheduleFiles\": {\n \"scenarios\": [\n {\n \"id\": \"baseline\",\n \"events\": [\n { \"month\": 1, \"day\": 90, \"operation\": \"CROP\", \"parameters\": \"C6\" },\n { \"month\": 1, \"day\": 90, \"operation\": \"FERT\", \"parameters\": \"(22.96N, 0.8F)\" }\n ]\n }\n ]\n }\n }\n}\n```\n\n## πŸ› οΈ Development\n\n### Prerequisites\n\n- Node.js 18+\n- TypeScript 5.0+\n- Git\n\n### Quick Start\n\n```bash\n# Clone repository\ngit clone https://github.com/Axios-Software-Inc/ghgmet-model-translator.git\ncd ghgmet-model-translator\n\n# Install dependencies\nnpm install\n\n# Set up environment\ncp .env.example .env\n\n# Build project\nnpm run build\n\n# Run tests\nnpm test\n\n# Start development server\nnpm run dev\n```\n\n### Project Structure\n\n```\nsrc/\nβ”œβ”€β”€ core/ # Core translation engine\nβ”œβ”€β”€ models/ # Model-specific translators\nβ”‚ β”œβ”€β”€ daycent-30cm/ # DayCent 30cm translator\nβ”‚ └── landscape-dndc/ # Landscape DNDC translator\nβ”œβ”€β”€ validation/ # Validation engine\nβ”œβ”€β”€ spatial/ # Spatial data services\n└── types/ # TypeScript definitions\n```\n\n## πŸ“š Documentation\n\n- **[Development Guide](./docs/setup/development-environment.md)** - Environment setup and workflow\n- **[Architecture Overview](./docs/architecture/system-overview.md)** - System design and patterns\n- **[API Reference](./docs/api/README.md)** - Complete API documentation\n- **[Deployment Guide](./docs/deployment/local-deployment.md)** - Local and production deployment\n- **[Agent Context Guide](./.agent/context-guide.md)** - AI agent development guide\n\n## πŸ”§ Configuration\n\n### Environment Variables\n\n```bash\n# Service Configuration\nNODE_ENV=development\nLOG_LEVEL=debug\n\n# Spatial Data Sources\nGEOSERVER_URL=https://geo.ghgmet.org\nWEATHER_API_KEY=your_api_key\n\n# Performance Settings\nMAX_PARALLEL_TRANSLATIONS=10\nWORKER_THREAD_COUNT=4\nTRANSLATION_TIMEOUT_MS=30000\n\n# Feature Flags\nENABLE_DNDC_SUPPORT=true\nENABLE_VALIDATION_AUTOFIX=true\n```\n\n## πŸ§ͺ Testing\n\n```bash\n# Run all tests\nnpm test\n\n# Run with coverage\nnpm run test:coverage\n\n# Run specific test suites\nnpm run test:unit\nnpm run test:integration\n\n# Performance testing\nnpm run test:performance\n```\n\n### Test Coverage Goals\n\n- **Core Logic**: 95%+ coverage\n- **Model Translators**: 90%+ coverage\n- **Integration Tests**: End-to-end workflows\n- **Performance Tests**: Load testing with k6\n\n## πŸš€ Deployment\n\n### Phase 1: NPM Package\n\n- Embedded within Model Run Controller\n- Synchronous execution\n- Shared memory and resources\n\n### Phase 2: Microservice (Future)\n\n- Standalone NestJS service\n- Independent scaling\n- gRPC/REST API interface\n- Kubernetes deployment\n\n## 🀝 Contributing\n\n1. **Fork** the repository\n2. **Create** a feature branch (`git checkout -b feature/amazing-feature`)\n3. **Commit** changes (`git commit -m 'feat: Add amazing feature'`)\n4. **Push** to branch (`git push origin feature/amazing-feature`)\n5. **Open** a Pull Request\n\n### Commit Message Format\n\n```\n[type]: Brief description\n\n- Detailed point 1\n- Detailed point 2\n\nRefs: #issue-number\n```\n\n**Types**: `feat`, `fix`, `docs`, `style`, `refactor`, `test`, `chore`\n\n## πŸ“ˆ Performance\n\n| Metric | Target | Maximum |\n| ----------------------------- | ------- | ------- |\n| Single Field Translation | < 2s | 10s |\n| Batch Translation (10 fields) | < 5s | 30s |\n| Spatial Data Lookup | < 500ms | 2s |\n| Memory Usage | < 500MB | 2GB |\n\n## πŸ”’ Security\n\n- Input validation and sanitization\n- Rate limiting and API key authentication\n- Audit logging for compliance (HECVAT/VPAT)\n- No sensitive data storage\n\n## πŸ“„ License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## πŸ™‹β€β™‚οΈ Support\n\n- **Documentation**: [docs/](./docs/)\n- **Issues**: [GitHub Issues](https://github.com/Axios-Software-Inc/ghgmet-model-translator/issues)\n- **Discussions**: [GitHub Discussions](https://github.com/Axios-Software-Inc/ghgmet-model-translator/discussions)\n\n## πŸ—ΊοΈ Roadmap\n\n- **Q4 2025**: COMET-Farm translator implementation\n- **Q1 2026**: Microservice architecture migration\n- **Q2 2026**: Standard DNDC support\n- **Q3 2026**: Performance optimization and caching layer\n\n---\n\n**Built with ❀️ by the GHGMet Platform Team**\n","readmeFilename":"README.md"}