from typing import List, Dict, Any, Optional
from .base import VectorStore

class WeaviateVectorStore(VectorStore):
    """Weaviate vector store implementation."""

    def __init__(self, collection_name: str, weaviate_url: str = "http://weaviate:8080"):
        super().__init__(collection_name)
        self.client = None
        self.weaviate_url = weaviate_url
        self._connect()

    def _connect(self):
        try:
            import weaviate
            self.client = weaviate.Client(self.weaviate_url)
        except ImportError:
            raise ImportError("weaviate-client is required for WeaviateVectorStore")

    def create_collection(self, dimension: int, distance_metric: str = "cosine", **kwargs) -> bool:
        # Weaviate handles schema management differently. Skip here or add if needed.
        return True

    def add_documents(self, texts: List[str], embeddings: List[List[float]],
                      metadatas: Optional[List[Dict[str, Any]]] = None) -> bool:
        try:
            for i, text in enumerate(texts):
                properties = metadatas[i] if metadatas else {}
                properties.update({"text": text})
                self.client.data_object.create(properties, self.collection_name)
            return True
        except Exception as e:
            print(f"Error adding to Weaviate: {e}")
            return False

    def search(self, query_embedding: List[float], top_k: int = 5,
               similarity_threshold: float = 0.0, **kwargs) -> List[Dict[str, Any]]:
        try:
            result = self.client.query.get(self.collection_name, ["text", "_additional {certainty}"])
            return []  # Daha sonra .near_vector() ile geliştirilebilir
        except Exception as e:
            print(f"Error in Weaviate search: {e}")
            return []

    def delete_collection(self) -> bool:
        try:
            self.client.schema.delete_class(self.collection_name)
            return True
        except Exception as e:
            print(f"Error deleting Weaviate class: {e}")
            return False
