- Deleted `app_new.py`, which was previously the main entry point for the dashboard application, to streamline the codebase.
- Consolidated the application initialization and callback registration logic into `main.py`, enhancing modularity and maintainability.
- Updated the logging and error handling practices in `main.py` to ensure consistent application behavior and improved debugging capabilities.
These changes simplify the application structure, aligning with project standards for modularity and maintainability.
- Enhanced the `UserIndicator` class to include an optional `timeframe` attribute for custom indicator timeframes.
- Updated the `get_indicator_data` method in `MarketDataIntegrator` to fetch and calculate indicators based on the specified timeframe, ensuring proper data alignment and handling.
- Modified the `ChartBuilder` to pass the correct DataFrame for plotting indicators with different timeframes.
- Added UI elements in the indicator modal for selecting timeframes, improving user experience.
- Updated relevant JSON templates to include the new `timeframe` field for all indicators.
- Refactored the `prepare_chart_data` function to ensure it returns a DataFrame with a `DatetimeIndex` for consistent calculations.
This commit enhances the flexibility and usability of the indicator system, allowing users to analyze data across various timeframes.
- Added type conversion for relevant columns in `VolumeAnalyzer` and `PriceMovementAnalyzer` to ensure consistent data handling and avoid type errors.
- Refactored the `create_data_analysis_panel` function to implement a tabbed interface for volume and price movement analysis, improving user experience and organization of analysis tools.
- Updated styles in `indicator_modal.py` for better layout and responsiveness of the modal component.
- Marked unit testing of dashboard components as complete in the task list.
- 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.
