dash working
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Dobromir Popov
218
run_simple_dashboard.py
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218
run_simple_dashboard.py
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#!/usr/bin/env python3
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"""
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Simple Dashboard Runner - Fixed version for testing
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"""
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import os
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import sys
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import logging
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import time
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import threading
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from pathlib import Path
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# Fix OpenMP library conflicts
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os.environ['KMP_DUPLICATE_LIB_OK'] = 'TRUE'
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os.environ['OMP_NUM_THREADS'] = '4'
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# Fix matplotlib backend
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import matplotlib
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matplotlib.use('Agg')
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# Add project root to path
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project_root = Path(__file__).parent
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sys.path.insert(0, str(project_root))
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# Setup logging
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
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)
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logger = logging.getLogger(__name__)
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def create_simple_dashboard():
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"""Create a simple working dashboard"""
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try:
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import dash
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from dash import html, dcc, Input, Output
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import plotly.graph_objs as go
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import pandas as pd
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import numpy as np
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from datetime import datetime, timedelta
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# Create Dash app
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app = dash.Dash(__name__)
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# Simple layout
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app.layout = html.Div([
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html.H1("Trading System Dashboard", style={'textAlign': 'center', 'color': '#2c3e50'}),
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html.Div([
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html.Div([
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html.H3("System Status", style={'color': '#27ae60'}),
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html.P(id='system-status', children="System: RUNNING", style={'fontSize': '18px'}),
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html.P(id='current-time', children=f"Time: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}"),
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], style={'width': '48%', 'display': 'inline-block', 'padding': '20px'}),
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html.Div([
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html.H3("Trading Stats", style={'color': '#3498db'}),
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html.P("Total Trades: 0"),
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html.P("Success Rate: 0%"),
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html.P("Current PnL: $0.00"),
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], style={'width': '48%', 'display': 'inline-block', 'padding': '20px'}),
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]),
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html.Div([
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dcc.Graph(id='price-chart'),
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], style={'padding': '20px'}),
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html.Div([
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dcc.Graph(id='performance-chart'),
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], style={'padding': '20px'}),
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# Auto-refresh component
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dcc.Interval(
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id='interval-component',
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interval=5000, # Update every 5 seconds
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n_intervals=0
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)
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])
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# Callback for updating time
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@app.callback(
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Output('current-time', 'children'),
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Input('interval-component', 'n_intervals')
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)
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def update_time(n):
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return f"Time: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}"
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# Callback for price chart
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@app.callback(
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Output('price-chart', 'figure'),
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Input('interval-component', 'n_intervals')
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)
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def update_price_chart(n):
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# Generate sample data
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dates = pd.date_range(start=datetime.now() - timedelta(hours=24),
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end=datetime.now(), freq='1H')
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prices = 3000 + np.cumsum(np.random.randn(len(dates)) * 10)
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fig = go.Figure()
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fig.add_trace(go.Scatter(
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x=dates,
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y=prices,
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mode='lines',
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name='ETH/USDT',
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line=dict(color='#3498db', width=2)
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))
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fig.update_layout(
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title='ETH/USDT Price Chart (24H)',
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xaxis_title='Time',
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yaxis_title='Price (USD)',
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template='plotly_white',
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height=400
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)
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return fig
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# Callback for performance chart
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@app.callback(
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Output('performance-chart', 'figure'),
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Input('interval-component', 'n_intervals')
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)
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def update_performance_chart(n):
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# Generate sample performance data
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dates = pd.date_range(start=datetime.now() - timedelta(days=7),
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end=datetime.now(), freq='1D')
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performance = np.cumsum(np.random.randn(len(dates)) * 0.02) * 100
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fig = go.Figure()
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fig.add_trace(go.Scatter(
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x=dates,
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y=performance,
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mode='lines+markers',
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name='Portfolio Performance',
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line=dict(color='#27ae60', width=3),
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marker=dict(size=6)
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))
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fig.update_layout(
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title='Portfolio Performance (7 Days)',
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xaxis_title='Date',
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yaxis_title='Performance (%)',
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template='plotly_white',
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height=400
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)
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return fig
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return app
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except Exception as e:
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logger.error(f"Error creating dashboard: {e}")
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import traceback
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logger.error(traceback.format_exc())
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return None
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def test_data_provider():
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"""Test data provider in background"""
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try:
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from core.data_provider import DataProvider
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from core.api_rate_limiter import get_rate_limiter
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logger.info("Testing data provider...")
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# Create data provider
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data_provider = DataProvider(
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symbols=['ETH/USDT'],
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timeframes=['1m', '5m']
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)
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# Test getting data
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df = data_provider.get_historical_data('ETH/USDT', '1m', limit=10)
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if df is not None and len(df) > 0:
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logger.info(f"✓ Data provider working: {len(df)} candles retrieved")
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else:
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logger.warning("⚠ Data provider returned no data (rate limiting)")
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# Test rate limiter status
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rate_limiter = get_rate_limiter()
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status = rate_limiter.get_all_endpoint_status()
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logger.info(f"Rate limiter status: {status}")
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except Exception as e:
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logger.error(f"Data provider test error: {e}")
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def main():
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"""Main function"""
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logger.info("=" * 60)
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logger.info("SIMPLE DASHBOARD RUNNER - TESTING SYSTEM")
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logger.info("=" * 60)
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# Test data provider in background
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data_thread = threading.Thread(target=test_data_provider, daemon=True)
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data_thread.start()
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# Create and run dashboard
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app = create_simple_dashboard()
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if app is None:
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logger.error("Failed to create dashboard")
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return
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try:
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logger.info("Starting dashboard server...")
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logger.info("Dashboard URL: http://127.0.0.1:8050")
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logger.info("Press Ctrl+C to stop")
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# Run the dashboard
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app.run(debug=False, host='127.0.0.1', port=8050, use_reloader=False)
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except KeyboardInterrupt:
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logger.info("Dashboard stopped by user")
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except Exception as e:
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logger.error(f"Dashboard error: {e}")
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import traceback
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logger.error(traceback.format_exc())
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if __name__ == "__main__":
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main()
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