model cards back
This commit is contained in:
Dobromir Popov
@ -1374,65 +1374,86 @@ class CleanTradingDashboard:
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Input('refresh-training-metrics-btn', 'n_clicks')] # Add manual refresh button
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)
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def update_training_metrics(slow_intervals, fast_intervals, n_clicks):
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"""Update training metrics"""
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"""Update training metrics using new clean panel implementation"""
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logger.info(f"update_training_metrics callback triggered with slow_intervals={slow_intervals}, fast_intervals={fast_intervals}, n_clicks={n_clicks}")
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try:
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# Get toggle states from orchestrator
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toggle_states = {}
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if self.orchestrator:
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# Get all available models dynamically
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available_models = self._get_available_models()
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logger.info(f"Available models: {list(available_models.keys())}")
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for model_name in available_models.keys():
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toggle_states[model_name] = self.orchestrator.get_model_toggle_state(model_name)
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else:
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# Fallback to dashboard dynamic state
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toggle_states = {}
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for model_name, state in self.model_toggle_states.items():
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toggle_states[model_name] = state
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# Now using slow-interval-component (10s) - no batching needed
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# Import the new panel implementation
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from web.models_training_panel import ModelsTrainingPanel
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logger.info(f"Getting training metrics with toggle_states: {toggle_states}")
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metrics_data = self._get_training_metrics(toggle_states)
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logger.info(f"update_training_metrics callback: got metrics_data type={type(metrics_data)}")
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if metrics_data and isinstance(metrics_data, dict):
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logger.info(f"Metrics data keys: {list(metrics_data.keys())}")
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if 'loaded_models' in metrics_data:
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logger.info(f"Loaded models count: {len(metrics_data['loaded_models'])}")
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logger.info(f"Loaded model names: {list(metrics_data['loaded_models'].keys())}")
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else:
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logger.warning("No 'loaded_models' key in metrics_data!")
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else:
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logger.warning(f"Invalid metrics_data: {metrics_data}")
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# Create panel instance with orchestrator
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panel = ModelsTrainingPanel(orchestrator=self.orchestrator)
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# Generate the panel content
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panel_content = panel.create_panel()
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logger.info("Successfully created new training metrics panel")
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return panel_content
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logger.info("Formatting training metrics...")
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formatted_metrics = self.component_manager.format_training_metrics(metrics_data)
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logger.info(f"Formatted metrics type: {type(formatted_metrics)}, length: {len(formatted_metrics) if isinstance(formatted_metrics, list) else 'N/A'}")
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return formatted_metrics
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except PreventUpdate:
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logger.info("PreventUpdate raised in training metrics callback")
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raise
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except Exception as e:
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logger.error(f"Error updating training metrics: {e}")
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logger.error(f"Error updating training metrics with new panel: {e}")
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import traceback
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logger.error(f"Traceback: {traceback.format_exc()}")
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return [html.P(f"Error: {str(e)}", className="text-danger")]
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return html.Div([
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html.P("Error loading training panel", className="text-danger small"),
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html.P(f"Details: {str(e)}", className="text-muted small")
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], id="training-metrics")
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# Test callback for training metrics (commented out - using real callback now)
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# @self.app.callback(
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# Output('training-metrics', 'children'),
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# [Input('refresh-training-metrics-btn', 'n_clicks')],
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# prevent_initial_call=False
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# )
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# def test_training_metrics_callback(n_clicks):
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# """Test callback for training metrics"""
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# logger.info(f"test_training_metrics_callback triggered with n_clicks={n_clicks}")
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# try:
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# # Return a simple test message
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# return [html.P("Training metrics test - callback is working!", className="text-success")]
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# except Exception as e:
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# logger.error(f"Error in test callback: {e}")
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# return [html.P(f"Error: {str(e)}", className="text-danger")]
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# Universal model toggle callback using pattern matching
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@self.app.callback(
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[Output({'type': 'model-toggle', 'model': dash.ALL, 'toggle_type': dash.ALL}, 'value')],
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[Input({'type': 'model-toggle', 'model': dash.ALL, 'toggle_type': dash.ALL}, 'value')],
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prevent_initial_call=True
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)
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def handle_all_model_toggles(values):
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"""Handle all model toggle switches using pattern matching"""
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try:
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ctx = dash.callback_context
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if not ctx.triggered:
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raise PreventUpdate
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# Get the triggered input
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triggered_id = ctx.triggered[0]['prop_id'].split('.')[0]
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triggered_value = ctx.triggered[0]['value']
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# Parse the component ID
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import json
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component_id = json.loads(triggered_id)
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model_name = component_id['model']
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toggle_type = component_id['toggle_type']
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is_enabled = bool(triggered_value and len(triggered_value) > 0)
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logger.info(f"Model toggle: {model_name} {toggle_type} = {is_enabled}")
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if self.orchestrator and hasattr(self.orchestrator, 'set_model_toggle_state'):
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# Map dashboard names to orchestrator names
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model_mapping = {
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'dqn_agent': 'dqn_agent',
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'enhanced_cnn': 'enhanced_cnn',
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'cob_rl_model': 'cob_rl_model',
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'extrema_trainer': 'extrema_trainer',
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'transformer': 'transformer',
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'decision_fusion': 'decision_fusion'
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}
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orchestrator_name = model_mapping.get(model_name, model_name)
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self.orchestrator.set_model_toggle_state(
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orchestrator_name,
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toggle_type + '_enabled',
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is_enabled
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)
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logger.info(f"Updated {orchestrator_name} {toggle_type}_enabled = {is_enabled}")
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# Return all current values (no change needed)
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raise PreventUpdate
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except PreventUpdate:
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raise
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except Exception as e:
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logger.error(f"Error handling model toggles: {e}")
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raise PreventUpdate
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# Manual trading buttons
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@self.app.callback(
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