# models/property_relation.py from .model_loader import load_model from .logging_config import logger def check_if_property_related(text): try: # Validate input if not isinstance(text, str): logger.warning(f"Input to check_if_property_related is not a string: {type(text)}") text = str(text) if text is not None else "" if not text.strip(): logger.warning("Empty text provided to check_if_property_related.") return { 'is_related': False, 'confidence': 0.0, 'error': 'No text provided', 'model_used': 'static_fallback' } try: classifier = load_model("zero-shot-classification") # Use standard model instead of typeform except Exception as e: logger.error(f"Error loading model in property relation: {str(e)}") return { 'is_related': False, 'confidence': 0.0, 'error': f'Model loading error: {str(e)}', 'model_used': 'static_fallback' } result = classifier(text[:1000], ["property-related", "non-property-related"]) # Defensive: ensure result structure labels = result.get('labels', []) scores = result.get('scores', []) if not labels or not scores or len(labels) != 2 or len(scores) != 2: logger.error(f"Unexpected model output in check_if_property_related: {result}") return { 'is_related': False, 'confidence': 0.0, 'error': 'Model output error', 'model_used': 'static_fallback' } is_related = labels[0] == "property-related" model_used = getattr(classifier, 'fallback_model', 'primary_model') return { 'is_related': is_related, 'confidence': float(scores[0]) if is_related else float(scores[1]), 'model_used': model_used } except Exception as e: logger.error(f"Error checking property relation: {str(e)}") return { 'is_related': False, 'confidence': 0.0, 'error': str(e), 'model_used': 'static_fallback' }