from __future__ import annotations import base64 from abc import ABC, abstractmethod from typing import ( TYPE_CHECKING, Any, Generic, Iterator, List, Optional, Sequence, Tuple, TypeVar, ) from langchain_core.stores import BaseStore, ByteStore from langchain_community.utilities.astradb import AstraDBEnvironment if TYPE_CHECKING: from astrapy.db import AstraDB V = TypeVar("V") class AstraDBBaseStore(Generic[V], BaseStore[str, V], ABC): def __init__( self, collection_name: str, token: Optional[str] = None, api_endpoint: Optional[str] = None, astra_db_client: Optional[AstraDB] = None, namespace: Optional[str] = None, ) -> None: astra_env = AstraDBEnvironment( token=token, api_endpoint=api_endpoint, astra_db_client=astra_db_client, namespace=namespace, ) self.astra_db = astra_env.astra_db self.collection = self.astra_db.create_collection( collection_name=collection_name, ) @abstractmethod def decode_value(self, value: Any) -> Optional[V]: """Decodes value from Astra DB""" @abstractmethod def encode_value(self, value: Optional[V]) -> Any: """Encodes value for Astra DB""" def mget(self, keys: Sequence[str]) -> List[Optional[V]]: """Get the values associated with the given keys.""" docs_dict = {} for doc in self.collection.paginated_find(filter={"_id": {"$in": list(keys)}}): docs_dict[doc["_id"]] = doc.get("value") return [self.decode_value(docs_dict.get(key)) for key in keys] def mset(self, key_value_pairs: Sequence[Tuple[str, V]]) -> None: """Set the given key-value pairs.""" for k, v in key_value_pairs: self.collection.upsert({"_id": k, "value": self.encode_value(v)}) def mdelete(self, keys: Sequence[str]) -> None: """Delete the given keys.""" self.collection.delete_many(filter={"_id": {"$in": list(keys)}}) def yield_keys(self, *, prefix: Optional[str] = None) -> Iterator[str]: """Yield keys in the store.""" docs = self.collection.paginated_find() for doc in docs: key = doc["_id"] if not prefix or key.startswith(prefix): yield key class AstraDBStore(AstraDBBaseStore[Any]): """BaseStore implementation using DataStax AstraDB as the underlying store. The value type can be any type serializable by json.dumps. Can be used to store embeddings with the CacheBackedEmbeddings. Documents in the AstraDB collection will have the format { "_id": "", "value": } """ def decode_value(self, value: Any) -> Any: return value def encode_value(self, value: Any) -> Any: return value class AstraDBByteStore(AstraDBBaseStore[bytes], ByteStore): """ByteStore implementation using DataStax AstraDB as the underlying store. The bytes values are converted to base64 encoded strings Documents in the AstraDB collection will have the format { "_id": "", "value": "" } """ def decode_value(self, value: Any) -> Optional[bytes]: if value is None: return None return base64.b64decode(value) def encode_value(self, value: Optional[bytes]) -> Any: if value is None: return None return base64.b64encode(value).decode("ascii")