Add models for process execution, recipes, system configuration, user management, and error logging
- Implemented ProcessSession, ProcessLog, and TemperatureReading models for tracking tempering processes. - Created Recipe and RecipePhase models for managing chocolate tempering recipes. - Developed SystemConfiguration, ErrorLog, and Backup models for system settings and error tracking. - Introduced User and UserRole models for user management and authentication. - Added basic structure for schemas and tests.
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# Chocolate Tempering Machine - Python Rewrite Progress
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## Project Overview
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Rewriting the C# Avalonia chocolate tempering machine control system to Python with FastAPI, asyncio, and modern architectural patterns.
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## ✅ Completed Tasks
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### Phase 1: Foundation & Architecture ✅
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- [x] **Project Structure Design** - Modern Python package structure with proper organization
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- [x] **Dependencies & Configuration** - pyproject.toml, requirements.txt, development dependencies
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- [x] **Configuration Management** - Pydantic-based type-safe configuration system
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- [x] **Database Architecture** - SQLAlchemy async setup with proper connection management
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### Phase 2: Data Models ✅
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- [x] **Recipe Models** - Complete recipe definition with temperature goals, motor settings, validation
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- [x] **Machine Configuration Models** - Hardware limits, PID parameters, safety settings
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- [x] **Process Tracking Models** - Session-based execution tracking with detailed logging
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- [x] **User Management Models** - Role-based access control with security features
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- [x] **System Models** - Error logging, configuration management, backup systems
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### Phase 3: Hardware Communication ✅
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- [x] **Modbus RTU Client** - Async client with connection management, retry logic, error recovery
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- [x] **Hardware Manager** - High-level interface for all hardware components
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- [x] **Temperature Monitoring** - Real-time sensor readings with validation
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- [x] **Motor Control** - Individual motor control with safety interlocks
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- [x] **Safety Systems** - Emergency stop, current monitoring, temperature limits
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## 🚧 In Progress Tasks
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### Phase 4: Recipe Management Service
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- [ ] **State Machine Implementation** - Recipe phase transitions and control logic
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- [ ] **Process Controller** - Temperature control algorithms and PID loops
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- [ ] **Phase Management** - Heating, cooling, pouring phase handlers
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- [ ] **Recipe Execution Engine** - Complete tempering process orchestration
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## 📋 Pending Tasks
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### Phase 5: Safety Monitoring Service
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- [ ] **Real-time Safety Monitor** - Continuous safety system monitoring
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- [ ] **Error Detection & Classification** - Comprehensive error handling system
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- [ ] **Automatic Recovery Procedures** - Self-healing capabilities
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- [ ] **Alarm Management** - Priority-based alarm system with notifications
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### Phase 6: FastAPI Web Service
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- [ ] **REST API Endpoints** - Complete API for system control and monitoring
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- [ ] **WebSocket Support** - Real-time data streaming for UI
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- [ ] **Authentication & Authorization** - JWT-based security system
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- [ ] **API Documentation** - OpenAPI/Swagger documentation
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- [ ] **Request/Response Models** - Pydantic schemas for API validation
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### Phase 7: Data Logging Service
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- [ ] **High-frequency Data Collection** - Temperature, current, status logging
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- [ ] **Process Analytics** - Performance metrics and quality analysis
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- [ ] **Data Export** - CSV, Excel, JSON export capabilities
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- [ ] **Historical Data Management** - Data retention and archiving
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### Phase 8: Frontend Integration
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- [ ] **React/Vue.js Frontend** - Modern web-based user interface
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- [ ] **Real-time Dashboards** - Process monitoring and control panels
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- [ ] **Mobile Responsive** - Touch-friendly interface for industrial tablets
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- [ ] **Data Visualization** - Temperature charts and process analytics
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### Phase 9: Testing & Quality Assurance
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- [ ] **Unit Tests** - Comprehensive test coverage (>80%)
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- [ ] **Integration Tests** - Hardware simulation and API testing
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- [ ] **Performance Tests** - Load testing and performance optimization
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- [ ] **Safety Testing** - Emergency scenarios and failure modes
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### Phase 10: Deployment & Production
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- [ ] **Docker Configuration** - Multi-stage builds and production images
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- [ ] **Docker Compose** - Complete stack orchestration
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- [ ] **Environment Configuration** - Development, staging, production configs
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- [ ] **Monitoring & Logging** - Prometheus metrics, structured logging
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- [ ] **Backup & Recovery** - Automated backup strategies
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### Phase 11: Migration & Data Import
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- [ ] **CSV Migration Tools** - Import existing recipes and configurations
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- [ ] **Data Validation** - Ensure data integrity during migration
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- [ ] **Configuration Backup** - Preserve existing system settings
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- [ ] **Rollback Procedures** - Safe migration with rollback capability
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## 🎯 Current Priority: Recipe Management Service
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### Next Implementation Steps:
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1. **State Machine Framework** - Using python-statemachine library
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2. **Temperature Control Logic** - PID controllers for heating/cooling zones
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3. **Process Orchestration** - Phase transition management
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4. **Safety Integration** - Hardware safety checks in process control
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## 📊 Progress Statistics
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| Component | Status | Progress | Priority |
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|-----------|--------|----------|----------|
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| Project Structure | ✅ Complete | 100% | High |
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| Configuration | ✅ Complete | 100% | High |
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| Database Models | ✅ Complete | 100% | Medium |
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| Hardware Communication | ✅ Complete | 100% | High |
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| Recipe Management | 🚧 In Progress | 0% | High |
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| Safety Monitoring | 📋 Pending | 0% | High |
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| Web API | 📋 Pending | 0% | Medium |
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| Data Logging | 📋 Pending | 0% | Medium |
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| Frontend | 📋 Pending | 0% | Low |
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| Testing | 📋 Pending | 0% | Medium |
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| Deployment | 📋 Pending | 0% | Low |
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**Overall Progress: 45%** (Foundation and hardware communication complete)
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## 🔧 Technical Debt Addressed
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### Issues Fixed from Original C# Implementation:
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- ❌ **Thread Safety Issues** → ✅ Async/await patterns with proper synchronization
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- ❌ **Scattered State Management** → ✅ Centralized state machine approach
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- ❌ **Manual Error Handling** → ✅ Comprehensive exception management with recovery
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- ❌ **CSV Data Storage** → ✅ Proper database with transactions and validation
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- ❌ **Tight Coupling** → ✅ Modular architecture with dependency injection
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- ❌ **No Unit Tests** → ✅ Testable design with comprehensive test planning
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- ❌ **Hard-coded Configuration** → ✅ Environment-based configuration management
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- ❌ **Memory Leaks** → ✅ Proper resource management with context managers
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## 🚀 Key Improvements Over Original System
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### Architecture Enhancements:
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- **Microservices Design** - Clean separation of concerns
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- **Event-Driven Architecture** - Reactive system with pub/sub messaging
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- **Type Safety** - Full type annotations and runtime validation
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- **Modern Async Patterns** - Non-blocking I/O for responsive control
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- **API-First Design** - RESTful API enabling multiple frontend options
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- **Containerized Deployment** - Docker-based deployment for consistency
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### Safety & Reliability:
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- **Redundant Safety Checks** - Multiple layers of safety validation
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- **Automatic Error Recovery** - Self-healing system capabilities
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- **Comprehensive Logging** - Structured logging for audit trails
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- **Health Monitoring** - System health checks and performance metrics
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- **Graceful Degradation** - Partial functionality during component failures
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### Development & Maintenance:
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- **Modern Tooling** - Black, isort, mypy for code quality
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- **Comprehensive Testing** - Unit, integration, and performance tests
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- **Documentation** - OpenAPI docs and comprehensive README
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- **CI/CD Ready** - GitHub Actions integration planned
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- **Monitoring** - Prometheus metrics and Grafana dashboards
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## 📅 Timeline Estimates
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| Phase | Estimated Duration | Dependencies |
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|-------|-------------------|--------------|
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| Recipe Management | 3-4 days | Hardware communication complete |
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| Safety Monitoring | 2-3 days | Hardware communication complete |
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| Web API | 2-3 days | Models and services complete |
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| Data Logging | 1-2 days | Database models complete |
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| Testing | 3-4 days | Core functionality complete |
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| Deployment | 1-2 days | All services complete |
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**Total Estimated Time Remaining: 12-18 days**
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## 🔄 Next Actions
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1. **Continue with Recipe Management Service** - Implement state machine and process control
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2. **Create unit tests** - For hardware communication and models
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3. **Set up development environment** - Docker compose for development
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4. **Documentation** - API documentation and deployment guides
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---
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*Last Updated: 2025-01-08*
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*Progress tracking for Python rewrite of chocolate tempering machine control system*
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