Implement modular architecture for Crypto Trading Bot Dashboard

- Introduced a new modular structure for the dashboard, enhancing maintainability and scalability.
- Created main application entry point in `app_new.py`, integrating all components and callbacks.
- Developed layout modules for market data, bot management, performance analytics, and system health in the `layouts` directory.
- Implemented callback modules for navigation, charts, indicators, and system health in the `callbacks` directory.
- Established reusable UI components in the `components` directory, including chart controls and indicator modals.
- Enhanced documentation to reflect the new modular structure and provide clear usage guidelines.
- Ensured all components are under 300-400 lines for better readability and maintainability.
This commit is contained in:
Vasily.onl
2025-06-04 13:30:16 +08:00
parent 476bd67f14
commit 010adb30f0
21 changed files with 2195 additions and 45 deletions

View File

@@ -20,8 +20,10 @@ Implementation of a flexible, strategy-driven chart system that supports technic
- `components/charts/layers/indicators.py` - Indicator overlay rendering (SMA, EMA, Bollinger Bands)
- `components/charts/layers/subplots.py` - Subplot management for indicators like RSI and MACD
- `components/charts/layers/signals.py` - Strategy signal overlays and trade markers (future bot integration)
- `app.py` - Updated dashboard integration with indicator selection controls
- `components/dashboard.py` - Enhanced dashboard layout with chart configuration UI
- `dashboard/` - **NEW: Modular dashboard structure with separated layouts and callbacks**
- `dashboard/layouts/market_data.py` - Enhanced market data layout with chart configuration UI
- `dashboard/callbacks/charts.py` - **NEW: Modular chart callbacks with strategy handling**
- `dashboard/components/chart_controls.py` - **NEW: Reusable chart control components**
- `tests/test_chart_builder.py` - Unit tests for ChartBuilder class functionality
- `tests/test_chart_layers.py` - Unit tests for individual chart layer components
- `tests/test_chart_integration.py` - Integration tests for full chart creation workflow
@@ -40,7 +42,8 @@ Implementation of a flexible, strategy-driven chart system that supports technic
- Integration with existing `data/common/indicators.py` for technical indicator calculations
- Backward compatibility maintained with existing `components/charts.py` API
- Use `uv run pytest tests/test_chart_*.py` to run chart-specific tests
- create documentation with importand components in ./docs/components/charts/ folder without redundancy
- **Modular dashboard structure implemented with complete separation of concerns**
- Create documentation with important components in ./docs/components/charts/ folder without redundancy
## Tasks
@@ -72,14 +75,14 @@ Implementation of a flexible, strategy-driven chart system that supports technic
- [x] 3.6 Add enhanced error handling and user guidance for missing strategies and indicators
- [x] 3.7 Unit test configuration system and validation
- [ ] 4.0 Dashboard Integration and UI Controls
- [x] 4.0 Dashboard Integration and UI Controls **✅ COMPLETED**
- [x] 4.1 Add indicator selection checkboxes to dashboard layout
- [x] 4.2 Create real-time chart updates with indicator toggling
- [x] 4.3 Implement parameter adjustment controls for indicators
- [ ] 4.4 Add strategy selection dropdown for predefined configurations
- [ ] 4.5 Update chart callback functions to handle new layer system
- [ ] 4.6 Ensure backward compatibility with existing dashboard features
- [ ] 4.7 Test dashboard integration with real market data
- [x] 4.4 Add strategy selection dropdown for predefined configurations **✅ WORKING**
- [x] 4.5 Update chart callback functions to handle new layer system **✅ COMPLETED - Modular callbacks**
- [x] 4.6 Ensure backward compatibility with existing dashboard features **✅ COMPLETED**
- [x] 4.7 Test dashboard integration with real market data **✅ COMPLETED - Confirmed working**
- [ ] 5.0 Signal Layer Foundation for Future Bot Integration
- [ ] 5.1 Create signal layer architecture for buy/sell markers
@@ -90,12 +93,33 @@ Implementation of a flexible, strategy-driven chart system that supports technic
- [ ] 5.6 Prepare integration points for bot management system
- [ ] 5.7 Create foundation tests for signal layer functionality
- [ ] 6.0 Documentation
- [ ] 6.1 Create documentation for the chart layers system
- [ ] 6.0 Documentation **⏳ IN PROGRESS**
- [x] 6.1 Create documentation for the chart layers system **✅ COMPLETED**
- [ ] 6.2 Add documentation to the README
- [ ] 6.3 Create documentation for the ChartBuilder class
- [ ] 6.4 Create documentation for the ChartUtils class
- [ ] 6.5 Create documentation for the ChartConfig package
- [ ] 6.6 Create documentation how to add new indicators
- [ ] 6.7 Create documentation how to add new strategies
- [x] 6.3 Create documentation for the ChartBuilder class **✅ COMPLETED**
- [x] 6.4 Create documentation for the ChartUtils class **✅ COMPLETED**
- [x] 6.5 Create documentation for the ChartConfig package **✅ COMPLETED**
- [x] 6.6 Create documentation how to add new indicators **✅ COMPLETED**
- [x] 6.7 Create documentation how to add new strategies **✅ COMPLETED**
## Current Status
### ✅ **COMPLETED SECTIONS**
- **1.0 Foundation Infrastructure**: Fully implemented with modular charts system
- **2.0 Indicator Layer System**: Complete implementation with all indicator types
- **3.0 Strategy Configuration**: Comprehensive strategy system with validation
- **4.0 Dashboard Integration**: **FULLY COMPLETED** including modular dashboard structure
### 🎯 **KEY ACHIEVEMENTS**
- **Strategy dropdown**: Fully functional with auto-loading of strategy indicators
- **Modular dashboard**: Complete separation of layouts, callbacks, and components
- **Chart callbacks**: Updated to handle new layer system with strategy support
- **Real-time updates**: Working chart updates with indicator toggling
- **Market data integration**: Confirmed working with live data
### 📋 **NEXT PHASES**
- **5.0 Signal Layer**: Foundation for bot signal integration
- **6.0 Documentation**: Complete README and final documentation updates
The chart layers system is now **production-ready** with full dashboard integration! 🚀