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from typing import Dict, List, Any |
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import pickle |
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import os |
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from model import ContentBasedRecommender |
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class EndpointHandler: |
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def __init__(self, path=""): |
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model_path = os.path.join(path, "model.pkl") |
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with open(model_path, 'rb') as f: |
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self.model = pickle.load(f) |
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def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]: |
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user_id = data.pop("user_id", None) |
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k = data.pop("k", 10) |
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if user_id is None: |
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return [{"error": "user_id is required"}] |
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try: |
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recommended_books = self.model.predict(user_id, k=k) |
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return [{"recommended_books": recommended_books}] |
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except Exception as e: |
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return [{"error": str(e)}] |
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def load_model(model_path): |
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handler = EndpointHandler(model_path) |
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return handler |