enhancements

test_dash.py

@@ -0,0 +1,103 @@
+#!/usr/bin/env python
+"""
+Simple test for Dash to ensure chart rendering is working correctly
+"""
+
+import dash
+from dash import html, dcc, Input, Output
+import plotly.graph_objects as go
+import numpy as np
+import pandas as pd
+from datetime import datetime, timedelta
+
+# Create some sample data
+def generate_sample_data(days=10):
+    end_date = datetime.now()
+    start_date = end_date - timedelta(days=days)
+    dates = pd.date_range(start=start_date, end=end_date, freq='1h')
+    
+    np.random.seed(42)
+    prices = np.random.normal(loc=100, scale=5, size=len(dates))
+    prices = np.cumsum(np.random.normal(loc=0, scale=1, size=len(dates))) + 100
+    
+    df = pd.DataFrame({
+        'timestamp': dates,
+        'open': prices,
+        'high': prices + np.random.normal(loc=1, scale=0.5, size=len(dates)),
+        'low': prices - np.random.normal(loc=1, scale=0.5, size=len(dates)),
+        'close': prices + np.random.normal(loc=0, scale=0.5, size=len(dates)),
+        'volume': np.abs(np.random.normal(loc=100, scale=50, size=len(dates)))
+    })
+    
+    return df
+
+# Create a Dash app
+app = dash.Dash(__name__)
+
+# Layout
+app.layout = html.Div([
+    html.H1("Test Chart"),
+    dcc.Graph(id='test-chart', style={'height': '800px'}),
+    dcc.Interval(
+        id='interval-component',
+        interval=1*1000,  # in milliseconds
+        n_intervals=0
+    ),
+    html.Div(id='signal-display', children="No Signal")
+])
+
+# Callback
+@app.callback(
+    [Output('test-chart', 'figure'),
+     Output('signal-display', 'children')],
+    [Input('interval-component', 'n_intervals')]
+)
+def update_chart(n):
+    # Generate new data on each update
+    df = generate_sample_data()
+    
+    # Create a candlestick chart
+    fig = go.Figure(data=[go.Candlestick(
+        x=df['timestamp'],
+        open=df['open'],
+        high=df['high'],
+        low=df['low'],
+        close=df['close']
+    )])
+    
+    # Add some random buy/sell signals
+    if n % 5 == 0:
+        signal_point = df.iloc[np.random.randint(0, len(df))]
+        action = "BUY" if n % 10 == 0 else "SELL"
+        color = "green" if action == "BUY" else "red"
+        
+        fig.add_trace(go.Scatter(
+            x=[signal_point['timestamp']],
+            y=[signal_point['close']],
+            mode='markers',
+            marker=dict(
+                size=10,
+                color=color,
+                symbol='triangle-up' if action == 'BUY' else 'triangle-down'
+            ),
+            name=action
+        ))
+        
+        signal_text = f"Current Signal: {action}"
+    else:
+        signal_text = "No Signal"
+    
+    # Update layout
+    fig.update_layout(
+        title='Test Price Chart',
+        yaxis_title='Price',
+        xaxis_title='Time',
+        template='plotly_dark',
+        height=800
+    )
+    
+    return fig, signal_text
+
+if __name__ == '__main__':
+    print("Starting Dash server on http://localhost:8090/")
+    app.run_server(debug=False, host='localhost', port=8090)