import logging
import typing

from llama_index import VectorStoreIndex
from llama_index.indices.vector_store import VectorIndexRetriever
from llama_index.vector_stores.types import VectorStore

from app._config import settings
from app.enums import WEAVIATE_INDEX_NAME, VectorDatabase

logger = logging.getLogger(__name__)


class VectorStoreComponent:
    vector_store: VectorStore

    def __init__(self) -> None:
        match settings.VECTOR_DATABASE:
            case VectorDatabase.WEAVIATE:
                import weaviate
                from llama_index.vector_stores import WeaviateVectorStore

                client = weaviate.Client(settings.WEAVIATE_CLIENT_URL)
                self.vector_store = typing.cast(
                    VectorStore,
                    WeaviateVectorStore(
                        weaviate_client=client, index_name=WEAVIATE_INDEX_NAME
                    ),
                )
            case _:
                # Should be unreachable
                # The settings validator should have caught this
                raise ValueError(
                    f"Vectorstore database {settings.VECTOR_DATABASE} not supported"
                )

    @staticmethod
    def get_retriever(
        index: VectorStoreIndex,
        doc_ids: list[str] | None = None,
        similarity_top_k: int = 2,
    ) -> VectorIndexRetriever:
        return VectorIndexRetriever(
            index=index,
            similarity_top_k=similarity_top_k,
            doc_ids=doc_ids,
        )

    def close(self) -> None:
        if hasattr(self.vector_store.client, "close"):
            self.vector_store.client.close()