- Add comprehensive production statistics engine with advanced analytics,
forecasting, and OEE calculations
- Implement real-time WebSocket streaming for live device monitoring and alerts
- Build cache management service with multi-layer caching strategies
- Create device state machine with automatic validation and recovery
- Add statistics and configuration API controllers with full CRUD operations
- Implement business rules engine with dynamic expression evaluation
- Add comprehensive test coverage for all new services and controllers
- Update project dependencies and DI container configuration
- Add system configuration models and comprehensive error handling
This completes the core functionality for the CNC data collection system
supporting 100+ devices with real-time monitoring and analytics capabilities.
- Created standard .NET6 project structure with Haoliang.Api, Haoliang.Core, Haoliang.Data, Haoliang.Models, and Haoliang.Tests
- Implemented device management API with Entity Framework Core and MySQL
- Added production calculation logic for CNC machine output statistics
- Created comprehensive data models for devices, templates, production records, users, and system
- Implemented repository pattern for data access
- Added comprehensive test coverage for models and production logic
- Fixed version compatibility issues with Pomelo.EntityFrameworkCore.MySql and Microsoft.AspNetCore.Cors
821644@qq.com