Added basic paper-trader. Fix signals_health_client.py to support the multiple personalities.

This commit is contained in:
Kalzu Rekku
2026-01-18 16:17:53 +02:00
parent 12b22f2dae
commit f827728f51
5 changed files with 966 additions and 26 deletions

View File

@@ -1,6 +1,6 @@
#!/usr/bin/env python3
"""
Health Check Client for Signal Generator
Health Check Client for Multi-Personality Signal Generator
Query the running signal generator status
"""
@@ -28,19 +28,61 @@ def check_health(socket_path="/tmp/signals_health.sock"):
# Parse and display
health = json.loads(response.decode('utf-8'))
print("=" * 60)
print("SIGNAL GENERATOR HEALTH STATUS")
print("=" * 60)
print("=" * 70)
print("MULTI-PERSONALITY SIGNAL GENERATOR HEALTH STATUS")
print("=" * 70)
print(f"Status: {health['status']}")
print(f"Personality: {health['personality']}")
print(f"Mode: {health.get('mode', 'single-personality')}")
# Handle both old single-personality and new multi-personality format
if 'personalities' in health:
print(f"Personalities: {', '.join(health['personalities'])}")
elif 'personality' in health:
print(f"Personality: {health['personality']}")
print(f"Timeframes: {', '.join(health['timeframes'])}")
print(f"Uptime: {health['uptime_seconds']}s ({health['uptime_seconds']//60}m)")
print(f"Total Signals: {health['total_signals']}")
print(f" - Buy: {health['buy_signals']}")
print(f" - Sell: {health['sell_signals']}")
print(f"Last Signal: {health['last_signal'] or 'None'}")
print(f"Errors: {health['errors']}")
print(f"Connected Clients: {health['connected_clients']}")
print(f"Debug Mode: {'ON' if health.get('debug_mode') else 'OFF'}")
# Total stats (aggregated across all personalities)
if 'total_stats' in health:
total = health['total_stats']
print(f"\nAGGREGATED STATISTICS:")
print(f" Total Signals: {total['total_signals']}")
print(f" - Buy: {total['buy_signals']}")
print(f" - Sell: {total['sell_signals']}")
print(f" Errors: {total['errors']}")
else:
# Fallback for old format
print(f"\nSTATISTICS:")
print(f" Total Signals: {health.get('total_signals', 0)}")
print(f" - Buy: {health.get('buy_signals', 0)}")
print(f" - Sell: {health.get('sell_signals', 0)}")
print(f" Errors: {health.get('errors', 0)}")
# Per-personality breakdown (if available)
if 'personality_stats' in health:
print("\n" + "=" * 70)
print("PER-PERSONALITY BREAKDOWN")
print("=" * 70)
for personality, stats in health['personality_stats'].items():
print(f"\n{personality.upper()}:")
print(f" Total Signals: {stats['total_signals']}")
print(f" - Buy: {stats['buy_signals']}")
print(f" - Sell: {stats['sell_signals']}")
print(f" Last Signal: {stats['last_signal'] or 'None'}")
print(f" Errors: {stats['errors']}")
if stats.get('recent_signals'):
print(f" Recent Signals:")
for sig in stats['recent_signals'][:3]:
print(f" [{sig['timeframe']}] {sig['signal']} @ ${sig['price']:.2f} "
f"(conf: {sig['confidence']:.2f})")
else:
# Old format
print(f" Last Signal: {health.get('last_signal') or 'None'}")
# Database Status
print("\n" + "=" * 70)
@@ -58,20 +100,22 @@ def check_health(socket_path="/tmp/signals_health.sock"):
print(f" Total Rows: {candles.get('row_count', 0)}")
for tf, info in candles.get('timeframes', {}).items():
age = info.get('age_seconds')
age_str = f"{age}s ago" if age else "N/A"
print(f" [{tf}]: {info['count']} rows, latest: {age_str}")
age_str = f"{age}s ago" if age is not None else "N/A"
status = "⚠ STALE" if age and age > 300 else ""
print(f" [{tf}]: {info['count']} rows, latest: {age_str} {status}")
# Analysis DB
analysis = db.get('analysis_db', {})
print(f"Analysis DB: {'✓ OK' if analysis.get('accessible') else '✗ FAILED'}")
print(f"\nAnalysis DB: {'✓ OK' if analysis.get('accessible') else '✗ FAILED'}")
if analysis.get('error'):
print(f" Error: {analysis['error']}")
else:
print(f" Total Rows: {analysis.get('row_count', 0)}")
for tf, info in analysis.get('timeframes', {}).items():
age = info.get('age_seconds')
age_str = f"{age}s ago" if age else "N/A"
print(f" [{tf}]: {info['count']} rows, latest: {age_str}")
age_str = f"{age}s ago" if age is not None else "N/A"
status = "⚠ STALE" if age and age > 300 else ""
print(f" [{tf}]: {info['count']} rows, latest: {age_str} {status}")
# Configuration
print("\n" + "=" * 70)
@@ -81,21 +125,38 @@ def check_health(socket_path="/tmp/signals_health.sock"):
print(f"Min Confidence: {cfg.get('min_confidence', 'N/A')}")
print(f"Cooldown: {cfg.get('cooldown_seconds', 'N/A')}s")
print(f"Lookback: {cfg.get('lookback', 'N/A')} candles")
print(f"Config Reloads: {cfg.get('reloads', 0)}")
if cfg.get('weights'):
print(f"Weights:")
for indicator, weight in cfg['weights'].items():
print(f" {indicator:12s} {weight}")
# Multi-personality format
if isinstance(cfg['weights'], dict) and any(k in cfg['weights'] for k in ['scalping', 'swing']):
for personality, weights in cfg['weights'].items():
print(f"\n{personality.upper()} Weights:")
for indicator, weight in weights.items():
print(f" {indicator:12s} {weight}")
else:
# Single personality format
print(f"Weights:")
for indicator, weight in cfg['weights'].items():
print(f" {indicator:12s} {weight}")
if health['recent_signals']:
print("\n" + "=" * 60)
print("RECENT SIGNALS")
print("=" * 60)
for sig in health['recent_signals']:
print(f" [{sig['timeframe']}] {sig['signal']} @ ${sig['price']:.2f} "
# Recent signals (all personalities combined)
recent = health.get('recent_signals', [])
if recent:
print("\n" + "=" * 70)
print("RECENT SIGNALS (ALL PERSONALITIES)")
print("=" * 70)
for sig in recent[:10]:
personality_tag = f"[{sig.get('personality', '?').upper()}]"
print(f" {personality_tag:12s} [{sig['timeframe']}] {sig['signal']} @ ${sig['price']:.2f} "
f"(conf: {sig['confidence']:.2f})")
print(f" Reasons: {', '.join(sig['reasons'])}")
if sig.get('reasons'):
reasons_str = ', '.join(sig['reasons'][:3])
if len(sig['reasons']) > 3:
reasons_str += f" (+{len(sig['reasons'])-3} more)"
print(f" Reasons: {reasons_str}")
print("=" * 60)
print("=" * 70)
return 0
@@ -106,8 +167,15 @@ def check_health(socket_path="/tmp/signals_health.sock"):
except ConnectionRefusedError:
print(f"Error: Connection refused at {socket_path}")
return 1
except KeyError as e:
print(f"Error: Missing expected field in health response: {e}")
print("\nRaw response:")
print(json.dumps(health, indent=2))
return 1
except Exception as e:
print(f"Error: {e}")
import traceback
traceback.print_exc()
return 1
if __name__ == "__main__":