folder rename

ANNOTATE/web/static/js/training_controller.js

@@ -0,0 +1,102 @@
+/**
+ * TrainingController - Manages training and inference simulation
+ */
+
+class TrainingController {
+    constructor() {
+        this.currentTrainingId = null;
+        this.inferenceState = null;
+        
+        console.log('TrainingController initialized');
+    }
+    
+    /**
+     * Start training session
+     */
+    startTraining(modelName, annotationIds) {
+        console.log('Starting training:', modelName, annotationIds);
+        
+        // Training is initiated from the training panel
+        // This method can be used for additional training logic
+    }
+    
+    /**
+     * Simulate inference on annotations
+     */
+    simulateInference(modelName, annotations) {
+        console.log('Simulating inference:', modelName, annotations.length, 'annotations');
+        
+        // Prepare inference request
+        const annotationIds = annotations.map(a => 
+            a.annotation_id || a.get('annotation_id')
+        );
+        
+        // Start inference simulation
+        fetch('/api/simulate-inference', {
+            method: 'POST',
+            headers: {'Content-Type': 'application/json'},
+            body: JSON.stringify({
+                model_name: modelName,
+                annotation_ids: annotationIds
+            })
+        })
+        .then(response => response.json())
+        .then(data => {
+            if (data.success) {
+                this.displayInferenceResults(data.results);
+            } else {
+                window.showError('Failed to simulate inference: ' + data.error.message);
+            }
+        })
+        .catch(error => {
+            window.showError('Network error: ' + error.message);
+        });
+    }
+    
+    /**
+     * Display inference results
+     */
+    displayInferenceResults(results) {
+        console.log('Displaying inference results:', results);
+        
+        // Update metrics
+        if (results.metrics) {
+            window.updateMetrics(results.metrics);
+        }
+        
+        // Update prediction timeline
+        if (results.predictions) {
+            window.inferenceState = {
+                isPlaying: false,
+                currentIndex: 0,
+                predictions: results.predictions,
+                annotations: window.appState.annotations,
+                speed: 1
+            };
+        }
+        
+        window.showSuccess('Inference simulation complete');
+    }
+    
+    /**
+     * Get training status
+     */
+    getTrainingStatus(trainingId) {
+        return fetch('/api/training-progress', {
+            method: 'POST',
+            headers: {'Content-Type': 'application/json'},
+            body: JSON.stringify({training_id: trainingId})
+        })
+        .then(response => response.json());
+    }
+    
+    /**
+     * Cancel training
+     */
+    cancelTraining(trainingId) {
+        console.log('Canceling training:', trainingId);
+        
+        // TODO: Implement training cancellation
+        window.showError('Training cancellation not yet implemented');
+    }
+}