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