training wip

This commit is contained in:
Dobromir Popov
2025-07-29 15:25:36 +03:00
parent b3e3a7673f
commit ff41f0a278
3 changed files with 102 additions and 13 deletions

View File

@ -1456,6 +1456,59 @@ class CleanTradingDashboard:
self.decision_fusion_training_enabled = enabled
logger.info(f"Decision Fusion training toggle: {enabled}")
return value
# NEW: Callback to sync toggle states from orchestrator on page load
@self.app.callback(
[Output('dqn-inference-toggle', 'value'),
Output('dqn-training-toggle', 'value'),
Output('cnn-inference-toggle', 'value'),
Output('cnn-training-toggle', 'value'),
Output('cob-rl-inference-toggle', 'value'),
Output('cob-rl-training-toggle', 'value'),
Output('decision-fusion-inference-toggle', 'value'),
Output('decision-fusion-training-toggle', 'value')],
[Input('interval-component', 'n_intervals')],
prevent_initial_call=False
)
def sync_toggle_states_from_orchestrator(n):
"""Sync toggle states from orchestrator to ensure UI consistency"""
if not self.orchestrator:
return [], [], [], [], [], [], [], []
try:
# Get toggle states from orchestrator
dqn_state = self.orchestrator.get_model_toggle_state("dqn")
cnn_state = self.orchestrator.get_model_toggle_state("cnn")
cob_rl_state = self.orchestrator.get_model_toggle_state("cob_rl")
decision_fusion_state = self.orchestrator.get_model_toggle_state("decision_fusion")
# Convert to checklist values (list with 'enabled' if True, empty list if False)
dqn_inf = ['enabled'] if dqn_state.get('inference_enabled', True) else []
dqn_trn = ['enabled'] if dqn_state.get('training_enabled', True) else []
cnn_inf = ['enabled'] if cnn_state.get('inference_enabled', True) else []
cnn_trn = ['enabled'] if cnn_state.get('training_enabled', True) else []
cob_rl_inf = ['enabled'] if cob_rl_state.get('inference_enabled', True) else []
cob_rl_trn = ['enabled'] if cob_rl_state.get('training_enabled', True) else []
decision_inf = ['enabled'] if decision_fusion_state.get('inference_enabled', True) else []
decision_trn = ['enabled'] if decision_fusion_state.get('training_enabled', True) else []
# Update dashboard state variables
self.dqn_inference_enabled = bool(dqn_inf)
self.dqn_training_enabled = bool(dqn_trn)
self.cnn_inference_enabled = bool(cnn_inf)
self.cnn_training_enabled = bool(cnn_trn)
self.cob_rl_inference_enabled = bool(cob_rl_inf)
self.cob_rl_training_enabled = bool(cob_rl_trn)
self.decision_fusion_inference_enabled = bool(decision_inf)
self.decision_fusion_training_enabled = bool(decision_trn)
logger.debug(f"Synced toggle states from orchestrator: DQN(inf:{self.dqn_inference_enabled}, trn:{self.dqn_training_enabled}), CNN(inf:{self.cnn_inference_enabled}, trn:{self.cnn_training_enabled}), COB_RL(inf:{self.cob_rl_inference_enabled}, trn:{self.cob_rl_training_enabled}), Decision_Fusion(inf:{self.decision_fusion_inference_enabled}, trn:{self.decision_fusion_training_enabled})")
return dqn_inf, dqn_trn, cnn_inf, cnn_trn, cob_rl_inf, cob_rl_trn, decision_inf, decision_trn
except Exception as e:
logger.error(f"Error syncing toggle states from orchestrator: {e}")
return [], [], [], [], [], [], [], []
"""Update cold start training mode"""
logger.debug(f"Cold start callback triggered with value: {switch_value}")
try: