mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +00:00
37 lines
1.3 KiB
Python
37 lines
1.3 KiB
Python
|
import json
|
||
|
|
import os
|
||
|
|
|
||
|
|
from langchain.memory import ConversationBufferMemory
|
||
|
|
from langchain.memory.chat_message_histories import MongoDBChatMessageHistory
|
||
|
|
from langchain.schema import _message_to_dict
|
||
|
|
|
||
|
|
# Replace these with your mongodb connection string
|
||
|
|
connection_string = os.environ["MONGODB_CONNECTION_STRING"]
|
||
|
|
|
||
|
|
|
||
|
|
def test_memory_with_message_store() -> None:
|
||
|
|
"""Test the memory with a message store."""
|
||
|
|
# setup MongoDB as a message store
|
||
|
|
message_history = MongoDBChatMessageHistory(
|
||
|
|
connection_string=connection_string, session_id="test-session"
|
||
|
|
)
|
||
|
|
memory = ConversationBufferMemory(
|
||
|
|
memory_key="baz", chat_memory=message_history, return_messages=True
|
||
|
|
)
|
||
|
|
|
||
|
|
# add some messages
|
||
|
|
memory.chat_memory.add_ai_message("This is me, the AI")
|
||
|
|
memory.chat_memory.add_user_message("This is me, the human")
|
||
|
|
|
||
|
|
# get the message history from the memory store and turn it into a json
|
||
|
|
messages = memory.chat_memory.messages
|
||
|
|
messages_json = json.dumps([_message_to_dict(msg) for msg in messages])
|
||
|
|
|
||
|
|
assert "This is me, the AI" in messages_json
|
||
|
|
assert "This is me, the human" in messages_json
|
||
|
|
|
||
|
|
# remove the record from Azure Cosmos DB, so the next test run won't pick it up
|
||
|
|
memory.chat_memory.clear()
|
||
|
|
|
||
|
|
assert memory.chat_memory.messages == []
|