from typing import List, Dict
import weaviate
from swarmauri.core.vector_stores.IVectorStore import IVectorStore
from swarmauri.core.vectors.IVector import IVector
from swarmauri.standard.vectors.concrete.SimpleVector import SimpleVector

class WeaviateVectorStore(IVectorStore):
    def __init__(self, weaviate_url: str):
        self.client = weaviate.Client(url=weaviate_url)
        # Set up schema if not exists, etc.
        pass
    
    def add_vector(self, vector_id: str, vector: IVector, metadata: Dict = None) -> None:
        data_object = {
            "vector": vector.data
        }
        if metadata:
            data_object["metadata"] = metadata
        self.client.data_object.create(data_object=data_object, class_name="Vector", uuid=vector_id)
    
    def get_vector(self, vector_id: str) -> IVector:
        result = self.client.data_object.get_by_id(vector_id, ["vector"])
        return SimpleVector(result['vector'])
    
    def delete_vector(self, vector_id: str) -> None:
        self.client.data_object.delete(vector_id)
    
    def update_vector(self, vector_id: str, new_vector: IVector, new_metadata: Dict = None) -> None:
        update_object = {
            "vector": new_vector.data
        }
        if new_metadata:
            update_object["metadata"] = new_metadata
        self.client.data_object.update(object_id=vector_id, data_object=update_object)
    
    # Implement other methods like search_by_similarity_threshold from ISimilarityQuery interface, etc.