132710a9a7
- Updated `register_chart_callbacks` to include enhanced market statistics. - Implemented new data analysis callbacks in `dashboard/callbacks/data_analysis.py` for volume and price movement analysis. - Created `VolumeAnalyzer` and `PriceMovementAnalyzer` classes for detailed statistical calculations. - Integrated data analysis components into the market statistics layout, providing users with insights on volume trends and price movements. - Improved error handling and logging for data analysis operations. - Updated documentation to reflect the new features and usage guidelines.
44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
"""
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Crypto Trading Bot Dashboard - Modular Version
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This is the main entry point for the dashboard application using the new modular structure.
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"""
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from dashboard import create_app
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from utils.logger import get_logger
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logger = get_logger("main")
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def main():
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"""Main entry point for the dashboard application."""
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try:
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# Create the dashboard app
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app = create_app()
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# Import and register all callbacks after app creation
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from dashboard.callbacks import (
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register_navigation_callbacks,
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register_chart_callbacks,
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register_indicator_callbacks,
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register_system_health_callbacks
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)
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# Register all callback modules
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register_navigation_callbacks(app)
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register_chart_callbacks(app) # Now includes enhanced market statistics
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register_indicator_callbacks(app) # Placeholder for now
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register_system_health_callbacks(app) # Placeholder for now
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logger.info("Dashboard application initialized successfully")
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# Run the app (updated for newer Dash version)
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app.run(debug=True, host='0.0.0.0', port=8050)
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except Exception as e:
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logger.error(f"Failed to start dashboard application: {e}")
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raise
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if __name__ == '__main__':
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main() |