mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
ed58eeb9c5
Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
115 lines
4.0 KiB
Python
115 lines
4.0 KiB
Python
"""Astra DB - based chat message history, based on astrapy."""
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from __future__ import annotations
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import json
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import time
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import typing
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from typing import List, Optional
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if typing.TYPE_CHECKING:
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from astrapy.db import AstraDB as LibAstraDB
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from langchain_core.chat_history import BaseChatMessageHistory
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from langchain_core.messages import (
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BaseMessage,
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message_to_dict,
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messages_from_dict,
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)
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DEFAULT_COLLECTION_NAME = "langchain_message_store"
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class AstraDBChatMessageHistory(BaseChatMessageHistory):
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"""Chat message history that stores history in Astra DB.
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Args (only keyword-arguments accepted):
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session_id: arbitrary key that is used to store the messages
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of a single chat session.
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collection_name (str): name of the Astra DB collection to create/use.
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token (Optional[str]): API token for Astra DB usage.
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api_endpoint (Optional[str]): full URL to the API endpoint,
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such as "https://<DB-ID>-us-east1.apps.astra.datastax.com".
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astra_db_client (Optional[Any]): *alternative to token+api_endpoint*,
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you can pass an already-created 'astrapy.db.AstraDB' instance.
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namespace (Optional[str]): namespace (aka keyspace) where the
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collection is created. Defaults to the database's "default namespace".
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"""
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def __init__(
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self,
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*,
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session_id: str,
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collection_name: str = DEFAULT_COLLECTION_NAME,
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token: Optional[str] = None,
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api_endpoint: Optional[str] = None,
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astra_db_client: Optional[LibAstraDB] = None, # type 'astrapy.db.AstraDB'
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namespace: Optional[str] = None,
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) -> None:
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"""Create an Astra DB chat message history."""
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try:
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from astrapy.db import AstraDB as LibAstraDB
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except (ImportError, ModuleNotFoundError):
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raise ImportError(
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"Could not import a recent astrapy python package. "
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"Please install it with `pip install --upgrade astrapy`."
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)
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# Conflicting-arg checks:
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if astra_db_client is not None:
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if token is not None or api_endpoint is not None:
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raise ValueError(
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"You cannot pass 'astra_db_client' to AstraDB if passing "
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"'token' and 'api_endpoint'."
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)
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self.session_id = session_id
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self.collection_name = collection_name
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self.token = token
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self.api_endpoint = api_endpoint
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self.namespace = namespace
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if astra_db_client is not None:
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self.astra_db = astra_db_client
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else:
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self.astra_db = LibAstraDB(
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token=self.token,
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api_endpoint=self.api_endpoint,
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namespace=self.namespace,
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)
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self.collection = self.astra_db.create_collection(self.collection_name)
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@property
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def messages(self) -> List[BaseMessage]: # type: ignore
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"""Retrieve all session messages from DB"""
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message_blobs = [
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doc["body_blob"]
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for doc in sorted(
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self.collection.paginated_find(
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filter={
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"session_id": self.session_id,
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},
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projection={
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"timestamp": 1,
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"body_blob": 1,
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},
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),
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key=lambda _doc: _doc["timestamp"],
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)
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]
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items = [json.loads(message_blob) for message_blob in message_blobs]
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messages = messages_from_dict(items)
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return messages
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def add_message(self, message: BaseMessage) -> None:
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"""Write a message to the table"""
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self.collection.insert_one(
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{
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"timestamp": time.time(),
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"session_id": self.session_id,
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"body_blob": json.dumps(message_to_dict(message)),
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}
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)
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def clear(self) -> None:
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"""Clear session memory from DB"""
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self.collection.delete_many(filter={"session_id": self.session_id})
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