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fix emojies

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This commit is contained in:
Dobromir Popov
2025-11-22 21:46:35 +02:00
parent e541e16e7e
commit 9a06288911
37 changed files with 528 additions and 181 deletions
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27
core/orchestrator.py
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@@ -817,7 +817,7 @@ class TradingOrchestrator:
'status': 'loaded'
}
logger.info(f"✅ Loaded transformer checkpoint: {os.path.basename(checkpoint_path)}")
logger.info(f"Loaded transformer checkpoint: {os.path.basename(checkpoint_path)}")
logger.info(f" Epoch: {epoch}, Loss: {loss:.6f}, Accuracy: {accuracy:.2%}, LR: {learning_rate:.6f}")
checkpoint_loaded = True
else:
@@ -1154,7 +1154,7 @@ class TradingOrchestrator:
logger.info("Orchestrator session data cleared")
logger.info("🧠 Model states preserved for continued training")
logger.info("📊 Prediction history cleared")
logger.info("Prediction history cleared")
logger.info("💼 Position tracking reset")
except Exception as e:
@@ -1711,10 +1711,10 @@ class TradingOrchestrator:
self.dashboard, "update_cob_data_from_orchestrator"
):
self.dashboard.update_cob_data_from_orchestrator(symbol, cob_data)
logger.debug(f"📊 Sent COB data for {symbol} to dashboard")
logger.debug(f"Sent COB data for {symbol} to dashboard")
else:
logger.debug(
f"📊 No dashboard connected to receive COB data for {symbol}"
f"No dashboard connected to receive COB data for {symbol}"
)
except Exception as e:
@@ -2811,6 +2811,25 @@ class TradingOrchestrator:
self.trading_executor = trading_executor
logger.info("Trading executor set for position tracking and P&L feedback")
def get_latest_transformer_prediction(self, symbol: str = 'ETH/USDT') -> Optional[Dict]:
"""
Get latest transformer prediction with next_candles data for ghost candle display
Returns dict with predicted OHLCV for each timeframe
"""
try:
if not self.primary_transformer:
return None
# Get recent predictions from storage
if symbol in self.recent_transformer_predictions and self.recent_transformer_predictions[symbol]:
return dict(self.recent_transformer_predictions[symbol][-1])
return None
except Exception as e:
logger.debug(f"Error getting latest transformer prediction: {e}")
return None
def store_transformer_prediction(self, symbol: str, prediction: Dict):
"""Store a transformer prediction for visualization and tracking"""
try: