84 lines
2.4 KiB
Python
84 lines
2.4 KiB
Python
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"""
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Dash application setup for interactive orderflow visualization.
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This module provides the Dash application structure for the interactive
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visualizer with real data integration.
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"""
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import dash
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from dash import html, dcc
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import dash_bootstrap_components as dbc
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from typing import Optional, List, Tuple, Dict, Any
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from models import Metric
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def create_dash_app(
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ohlc_data: Optional[List[Tuple[int, float, float, float, float, float]]] = None,
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metrics_data: Optional[List[Metric]] = None,
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debug: bool = False,
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port: int = 8050
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) -> dash.Dash:
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"""
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Create and configure a Dash application with real data.
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Args:
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ohlc_data: List of OHLC tuples (timestamp, open, high, low, close, volume)
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metrics_data: List of Metric objects with OBI and CVD data
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debug: Enable debug mode for development
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port: Port number for the Dash server
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Returns:
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dash.Dash: Configured Dash application instance
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"""
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app = dash.Dash(
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__name__,
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external_stylesheets=[dbc.themes.BOOTSTRAP, dbc.themes.DARKLY]
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)
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# Layout with 4-subplot chart container
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from dash_components import create_chart_container, create_side_panel, create_populated_chart
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# Create chart with real data if available
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chart_component = create_populated_chart(ohlc_data, metrics_data) if ohlc_data else create_chart_container()
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app.layout = dbc.Container([
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dbc.Row([
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dbc.Col([
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html.H2("Orderflow Interactive Visualizer", className="text-center mb-3"),
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chart_component
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], width=9),
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dbc.Col([
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create_side_panel()
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], width=3)
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])
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], fluid=True)
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return app
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def create_dash_app_with_data(
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ohlc_data: List[Tuple[int, float, float, float, float, float]],
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metrics_data: List[Metric],
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debug: bool = False,
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port: int = 8050
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) -> dash.Dash:
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"""
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Create Dash application with processed data from InteractiveVisualizer.
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Args:
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ohlc_data: Processed OHLC data
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metrics_data: Processed metrics data
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debug: Enable debug mode
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port: Port number
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Returns:
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dash.Dash: Configured Dash application with real data
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"""
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return create_dash_app(ohlc_data, metrics_data, debug, port)
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if __name__ == "__main__":
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# Development server for testing
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app = create_dash_app(debug=True)
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app.run(debug=True, port=8050)
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