/**
 * 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');
    }
}