72 lines
2.7 KiB
Python
72 lines
2.7 KiB
Python
#!/usr/bin/env python3
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"""
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Data Stream Status Checker
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This script provides better information about the data stream status
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when the dashboard is running.
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"""
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import requests
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import json
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import time
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from datetime import datetime
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def check_dashboard_status():
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"""Check if dashboard is running and get basic status"""
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try:
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response = requests.get('http://127.0.0.1:8050', timeout=3)
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if response.status_code == 200:
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return True, "Dashboard is running"
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else:
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return False, f"Dashboard responded with status {response.status_code}"
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except requests.exceptions.ConnectionError:
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return False, "Dashboard not running (connection refused)"
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except Exception as e:
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return False, f"Error checking dashboard: {e}"
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def main():
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print("🔍 Data Stream Status Check")
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print("=" * 50)
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# Check if dashboard is running
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dashboard_running, dashboard_msg = check_dashboard_status()
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if dashboard_running:
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print("✅ Dashboard Status: RUNNING")
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print(f" URL: http://127.0.0.1:8050")
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print(f" Message: {dashboard_msg}")
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print()
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print("📊 Data Stream Information:")
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print(" The data stream monitor is running inside the dashboard process.")
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print(" You should see data stream output in the dashboard console.")
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print()
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print("🔧 How to Access Data Stream:")
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print(" 1. Check the dashboard console output for data stream samples")
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print(" 2. The dashboard automatically starts data streaming")
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print(" 3. Data is being collected and displayed in real-time")
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print()
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print("📝 Expected Console Output (in dashboard terminal):")
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print(" =================================================")
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print(" DATA STREAM SAMPLE - 16:10:30")
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print(" =================================================")
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print(" OHLCV (1m): ETH/USDT | O:4335.67 H:4338.92 L:4334.21 C:4336.67 V:125.8")
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print(" TICK: ETH/USDT | Price:4336.67 Vol:0.0456 Side:buy")
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print(" MODEL: DQN | Conf:0.78 Pred:BUY Loss:0.0234")
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print(" =================================================")
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print()
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print("💡 Note: The data_stream_control.py script cannot access the")
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print(" dashboard's data stream due to process isolation.")
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print(" The data stream is active and working within the dashboard.")
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else:
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print("❌ Dashboard Status: NOT RUNNING")
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print(f" Error: {dashboard_msg}")
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print()
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print("🔧 To start the dashboard:")
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print(" python run_clean_dashboard.py")
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print()
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print(" Then check this status again.")
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if __name__ == "__main__":
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main()
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