training wip
This commit is contained in:
@ -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:
|
||||
|
Reference in New Issue
Block a user