mirror of
https://github.com/hwchase17/langchain
synced 2024-11-20 03:25:56 +00:00
f338d6251c
Test for #3434 @eavanvalkenburg Initially, I was unaware and had submitted a pull request #3450 for the same purpose, but I have now repurposed the one I used for that. And it worked.
45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
import json
|
|
import os
|
|
|
|
from langchain.memory import ConversationBufferMemory
|
|
from langchain.memory.chat_message_histories import CosmosDBChatMessageHistory
|
|
from langchain.schema import _message_to_dict
|
|
|
|
# Replace these with your Azure Cosmos DB endpoint and key
|
|
endpoint = os.environ["COSMOS_DB_ENDPOINT"]
|
|
credential = os.environ["COSMOS_DB_KEY"]
|
|
|
|
|
|
def test_memory_with_message_store() -> None:
|
|
"""Test the memory with a message store."""
|
|
# setup Azure Cosmos DB as a message store
|
|
message_history = CosmosDBChatMessageHistory(
|
|
cosmos_endpoint=endpoint,
|
|
cosmos_database="chat_history",
|
|
cosmos_container="messages",
|
|
credential=credential,
|
|
session_id="my-test-session",
|
|
user_id="my-test-user",
|
|
ttl=10,
|
|
)
|
|
message_history.prepare_cosmos()
|
|
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 == []
|