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