49 lines
2.0 KiB
Python
49 lines
2.0 KiB
Python
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"""
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Data analysis callbacks for the dashboard.
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"""
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from dash import Output, Input, html, dcc
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import dash_mantine_components as dmc
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from utils.logger import get_logger
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from dashboard.components.data_analysis import (
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VolumeAnalyzer,
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PriceMovementAnalyzer,
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create_volume_analysis_chart,
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create_price_movement_chart,
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create_volume_stats_display,
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create_price_stats_display
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)
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logger = get_logger("data_analysis_callbacks")
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def register_data_analysis_callbacks(app):
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"""Register data analysis related callbacks."""
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logger.info("🚀 STARTING to register data analysis callbacks...")
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# Initial callback to populate charts on load
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@app.callback(
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[Output('analysis-chart-container', 'children'),
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Output('analysis-stats-container', 'children')],
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[Input('analysis-type-selector', 'value'),
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Input('analysis-period-selector', 'value')],
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prevent_initial_call=False
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)
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def update_data_analysis(analysis_type, period):
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"""Update data analysis with statistical cards only (no duplicate charts)."""
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logger.info(f"🎯 DATA ANALYSIS CALLBACK TRIGGERED! Type: {analysis_type}, Period: {period}")
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# Return placeholder message since we're moving to enhanced market stats
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info_msg = html.Div([
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html.H4("📊 Statistical Analysis"),
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html.P("Data analysis has been integrated into the Market Statistics section above."),
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html.P("The enhanced statistics now include volume analysis, price movement analysis, and trend indicators."),
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html.P("Change the symbol and timeframe in the main chart to see updated analysis."),
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html.Hr(),
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html.Small("This section will be updated with additional analytical tools in future versions.")
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], style={'border': '2px solid #17a2b8', 'padding': '20px', 'margin': '10px', 'background-color': '#d1ecf1'})
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return info_msg, html.Div()
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logger.info("✅ Data analysis callbacks registered successfully")
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