mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +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."""
|
|
from __future__ import annotations
|
|
|
|
import json
|
|
import time
|
|
import typing
|
|
from typing import List, Optional
|
|
|
|
if typing.TYPE_CHECKING:
|
|
from astrapy.db import AstraDB as LibAstraDB
|
|
|
|
from langchain_core.chat_history import BaseChatMessageHistory
|
|
from langchain_core.messages import (
|
|
BaseMessage,
|
|
message_to_dict,
|
|
messages_from_dict,
|
|
)
|
|
|
|
DEFAULT_COLLECTION_NAME = "langchain_message_store"
|
|
|
|
|
|
class AstraDBChatMessageHistory(BaseChatMessageHistory):
|
|
"""Chat message history that stores history in Astra DB.
|
|
|
|
Args (only keyword-arguments accepted):
|
|
session_id: arbitrary key that is used to store the messages
|
|
of a single chat session.
|
|
collection_name (str): name of the Astra DB collection to create/use.
|
|
token (Optional[str]): API token for Astra DB usage.
|
|
api_endpoint (Optional[str]): full URL to the API endpoint,
|
|
such as "https://<DB-ID>-us-east1.apps.astra.datastax.com".
|
|
astra_db_client (Optional[Any]): *alternative to token+api_endpoint*,
|
|
you can pass an already-created 'astrapy.db.AstraDB' instance.
|
|
namespace (Optional[str]): namespace (aka keyspace) where the
|
|
collection is created. Defaults to the database's "default namespace".
|
|
"""
|
|
|
|
def __init__(
|
|
self,
|
|
*,
|
|
session_id: str,
|
|
collection_name: str = DEFAULT_COLLECTION_NAME,
|
|
token: Optional[str] = None,
|
|
api_endpoint: Optional[str] = None,
|
|
astra_db_client: Optional[LibAstraDB] = None, # type 'astrapy.db.AstraDB'
|
|
namespace: Optional[str] = None,
|
|
) -> None:
|
|
"""Create an Astra DB chat message history."""
|
|
try:
|
|
from astrapy.db import AstraDB as LibAstraDB
|
|
except (ImportError, ModuleNotFoundError):
|
|
raise ImportError(
|
|
"Could not import a recent astrapy python package. "
|
|
"Please install it with `pip install --upgrade astrapy`."
|
|
)
|
|
|
|
# Conflicting-arg checks:
|
|
if astra_db_client is not None:
|
|
if token is not None or api_endpoint is not None:
|
|
raise ValueError(
|
|
"You cannot pass 'astra_db_client' to AstraDB if passing "
|
|
"'token' and 'api_endpoint'."
|
|
)
|
|
|
|
self.session_id = session_id
|
|
self.collection_name = collection_name
|
|
self.token = token
|
|
self.api_endpoint = api_endpoint
|
|
self.namespace = namespace
|
|
if astra_db_client is not None:
|
|
self.astra_db = astra_db_client
|
|
else:
|
|
self.astra_db = LibAstraDB(
|
|
token=self.token,
|
|
api_endpoint=self.api_endpoint,
|
|
namespace=self.namespace,
|
|
)
|
|
self.collection = self.astra_db.create_collection(self.collection_name)
|
|
|
|
@property
|
|
def messages(self) -> List[BaseMessage]: # type: ignore
|
|
"""Retrieve all session messages from DB"""
|
|
message_blobs = [
|
|
doc["body_blob"]
|
|
for doc in sorted(
|
|
self.collection.paginated_find(
|
|
filter={
|
|
"session_id": self.session_id,
|
|
},
|
|
projection={
|
|
"timestamp": 1,
|
|
"body_blob": 1,
|
|
},
|
|
),
|
|
key=lambda _doc: _doc["timestamp"],
|
|
)
|
|
]
|
|
items = [json.loads(message_blob) for message_blob in message_blobs]
|
|
messages = messages_from_dict(items)
|
|
return messages
|
|
|
|
def add_message(self, message: BaseMessage) -> None:
|
|
"""Write a message to the table"""
|
|
self.collection.insert_one(
|
|
{
|
|
"timestamp": time.time(),
|
|
"session_id": self.session_id,
|
|
"body_blob": json.dumps(message_to_dict(message)),
|
|
}
|
|
)
|
|
|
|
def clear(self) -> None:
|
|
"""Clear session memory from DB"""
|
|
self.collection.delete_many(filter={"session_id": self.session_id})
|