#!/usr/bin/env python3
"""
Simple Dashboard Runner - Fixed version for testing
"""

import os
import sys
import logging
import time
import threading
from pathlib import Path

# Fix OpenMP library conflicts
os.environ['KMP_DUPLICATE_LIB_OK'] = 'TRUE'
os.environ['OMP_NUM_THREADS'] = '4'

# Fix matplotlib backend
import matplotlib
matplotlib.use('Agg')

# Add project root to path
project_root = Path(__file__).parent
sys.path.insert(0, str(project_root))

# Setup logging
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)

def create_simple_dashboard():
    """Create a simple working dashboard"""
    try:
        import dash
        from dash import html, dcc, Input, Output
        import plotly.graph_objs as go
        import pandas as pd
        import numpy as np
        from datetime import datetime, timedelta
        
        # Create Dash app
        app = dash.Dash(__name__)
        
        # Simple layout
        app.layout = html.Div([
            html.H1("Trading System Dashboard", style={'textAlign': 'center', 'color': '#2c3e50'}),
            
            html.Div([
                html.Div([
                    html.H3("System Status", style={'color': '#27ae60'}),
                    html.P(id='system-status', children="System: RUNNING", style={'fontSize': '18px'}),
                    html.P(id='current-time', children=f"Time: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}"),
                ], style={'width': '48%', 'display': 'inline-block', 'padding': '20px'}),
                
                html.Div([
                    html.H3("Trading Stats", style={'color': '#3498db'}),
                    html.P("Total Trades: 0"),
                    html.P("Success Rate: 0%"),
                    html.P("Current PnL: $0.00"),
                ], style={'width': '48%', 'display': 'inline-block', 'padding': '20px'}),
            ]),
            
            html.Div([
                dcc.Graph(id='price-chart'),
            ], style={'padding': '20px'}),
            
            html.Div([
                dcc.Graph(id='performance-chart'),
            ], style={'padding': '20px'}),
            
            # Auto-refresh component
            dcc.Interval(
                id='interval-component',
                interval=5000,  # Update every 5 seconds
                n_intervals=0
            )
        ])
        
        # Callback for updating time
        @app.callback(
            Output('current-time', 'children'),
            Input('interval-component', 'n_intervals')
        )
        def update_time(n):
            return f"Time: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}"
        
        # Callback for price chart
        @app.callback(
            Output('price-chart', 'figure'),
            Input('interval-component', 'n_intervals')
        )
        def update_price_chart(n):
            # Generate sample data
            dates = pd.date_range(start=datetime.now() - timedelta(hours=24), 
                                end=datetime.now(), freq='1H')
            prices = 3000 + np.cumsum(np.random.randn(len(dates)) * 10)
            
            fig = go.Figure()
            fig.add_trace(go.Scatter(
                x=dates,
                y=prices,
                mode='lines',
                name='ETH/USDT',
                line=dict(color='#3498db', width=2)
            ))
            
            fig.update_layout(
                title='ETH/USDT Price Chart (24H)',
                xaxis_title='Time',
                yaxis_title='Price (USD)',
                template='plotly_white',
                height=400
            )
            
            return fig
        
        # Callback for performance chart
        @app.callback(
            Output('performance-chart', 'figure'),
            Input('interval-component', 'n_intervals')
        )
        def update_performance_chart(n):
            # Generate sample performance data
            dates = pd.date_range(start=datetime.now() - timedelta(days=7), 
                                end=datetime.now(), freq='1D')
            performance = np.cumsum(np.random.randn(len(dates)) * 0.02) * 100
            
            fig = go.Figure()
            fig.add_trace(go.Scatter(
                x=dates,
                y=performance,
                mode='lines+markers',
                name='Portfolio Performance',
                line=dict(color='#27ae60', width=3),
                marker=dict(size=6)
            ))
            
            fig.update_layout(
                title='Portfolio Performance (7 Days)',
                xaxis_title='Date',
                yaxis_title='Performance (%)',
                template='plotly_white',
                height=400
            )
            
            return fig
        
        return app
        
    except Exception as e:
        logger.error(f"Error creating dashboard: {e}")
        import traceback
        logger.error(traceback.format_exc())
        return None

def test_data_provider():
    """Test data provider in background"""
    try:
        from core.data_provider import DataProvider
        from core.api_rate_limiter import get_rate_limiter
        
        logger.info("Testing data provider...")
        
        # Create data provider
        data_provider = DataProvider(
            symbols=['ETH/USDT'],
            timeframes=['1m', '5m']
        )
        
        # Test getting data
        df = data_provider.get_historical_data('ETH/USDT', '1m', limit=10)
        if df is not None and len(df) > 0:
            logger.info(f"✓ Data provider working: {len(df)} candles retrieved")
        else:
            logger.warning("⚠ Data provider returned no data (rate limiting)")
        
        # Test rate limiter status
        rate_limiter = get_rate_limiter()
        status = rate_limiter.get_all_endpoint_status()
        logger.info(f"Rate limiter status: {status}")
        
    except Exception as e:
        logger.error(f"Data provider test error: {e}")

def main():
    """Main function"""
    logger.info("=" * 60)
    logger.info("SIMPLE DASHBOARD RUNNER - TESTING SYSTEM")
    logger.info("=" * 60)
    
    # Test data provider in background
    data_thread = threading.Thread(target=test_data_provider, daemon=True)
    data_thread.start()
    
    # Create and run dashboard
    app = create_simple_dashboard()
    if app is None:
        logger.error("Failed to create dashboard")
        return
    
    try:
        logger.info("Starting dashboard server...")
        logger.info("Dashboard URL: http://127.0.0.1:8050")
        logger.info("Press Ctrl+C to stop")
        
        # Run the dashboard
        app.run(debug=False, host='127.0.0.1', port=8050, use_reloader=False)
        
    except KeyboardInterrupt:
        logger.info("Dashboard stopped by user")
    except Exception as e:
        logger.error(f"Dashboard error: {e}")
        import traceback
        logger.error(traceback.format_exc())

if __name__ == "__main__":
    main()