remove emojis from console

This commit is contained in:
Dobromir Popov
2025-10-25 16:35:08 +03:00
parent 5aa4925cff
commit b8f54e61fa
75 changed files with 828 additions and 828 deletions

View File

@@ -49,7 +49,7 @@ class RealtimePredictionLoop:
async def start(self):
"""Start the continuous prediction loop"""
self.running = True
logger.info("🔄 Starting Real-Time Prediction Loop")
logger.info(" Starting Real-Time Prediction Loop")
# Start prediction tasks for each symbol
symbols = self.orchestrator.config.get('symbols', ['ETH/USDT', 'BTC/USDT'])
@@ -67,7 +67,7 @@ class RealtimePredictionLoop:
async def _prediction_loop_for_symbol(self, symbol: str):
"""Run prediction loop for a specific symbol"""
logger.info(f"🔄 Prediction loop started for {symbol}")
logger.info(f" Prediction loop started for {symbol}")
while self.running:
try:
@@ -194,10 +194,10 @@ class RealtimePredictionLoop:
if cnn_input and cnn_input.data_quality_score > 0.5:
cnn_data = self.unified_data_interface.get_model_specific_input(cnn_input, 'cnn')
if cnn_data is not None:
# THIS IS WHERE model.predict() GETS CALLED WITH CORRECT DATA!
# THIS IS WHERE model.predict() GETS CALLED WITH CORRECT DATA!
cnn_prediction = self.orchestrator.cnn_model.predict(cnn_data)
predictions['cnn'] = cnn_prediction
logger.info(f" CNN prediction for {symbol}: {cnn_prediction} (quality: {cnn_input.data_quality_score:.2f})")
logger.info(f" CNN prediction for {symbol}: {cnn_prediction} (quality: {cnn_input.data_quality_score:.2f})")
except Exception as e:
logger.error(f"CNN prediction error for {symbol}: {e}")
@@ -215,7 +215,7 @@ class RealtimePredictionLoop:
'action': action,
'action_name': ['SELL', 'HOLD', 'BUY'][action]
}
logger.info(f" DQN prediction for {symbol}: {predictions['dqn']['action_name']} (quality: {dqn_input.data_quality_score:.2f})")
logger.info(f" DQN prediction for {symbol}: {predictions['dqn']['action_name']} (quality: {dqn_input.data_quality_score:.2f})")
except Exception as e:
logger.error(f"DQN prediction error for {symbol}: {e}")
@@ -229,7 +229,7 @@ class RealtimePredictionLoop:
if cob_data is not None and hasattr(self.orchestrator.cob_rl_model, 'predict'):
cob_prediction = self.orchestrator.cob_rl_model.predict(cob_data)
predictions['cob_rl'] = cob_prediction
logger.info(f" COB RL prediction for {symbol}: {cob_prediction} (quality: {cob_input.data_quality_score:.2f})")
logger.info(f" COB RL prediction for {symbol}: {cob_prediction} (quality: {cob_input.data_quality_score:.2f})")
except Exception as e:
logger.error(f"COB RL prediction error for {symbol}: {e}")
@@ -243,7 +243,7 @@ class RealtimePredictionLoop:
if transformer_data is not None and hasattr(self.orchestrator.transformer_model, 'predict'):
transformer_prediction = self.orchestrator.transformer_model.predict(transformer_data)
predictions['transformer'] = transformer_prediction
logger.info(f" Transformer prediction for {symbol}: {transformer_prediction} (quality: {transformer_input.data_quality_score:.2f})")
logger.info(f" Transformer prediction for {symbol}: {transformer_prediction} (quality: {transformer_input.data_quality_score:.2f})")
except Exception as e:
logger.error(f"Transformer prediction error for {symbol}: {e}")