mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
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import json
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import os
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from langchain.memory import ConversationBufferMemory
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from langchain.memory.chat_message_histories.cassandra import (
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CassandraChatMessageHistory,
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)
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from langchain.schema import _message_to_dict
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# Replace these with your cassandra contact points
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contact_points = (
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os.environ["CONTACT_POINTS"].split(",")
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if "CONTACT_POINTS" in os.environ
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else ["cassandra"]
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)
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def test_memory_with_message_store() -> None:
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"""Test the memory with a message store."""
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# setup cassandra as a message store
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message_history = CassandraChatMessageHistory(
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contact_points=contact_points, session_id="test-session"
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)
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memory = ConversationBufferMemory(
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memory_key="baz", chat_memory=message_history, return_messages=True
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)
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# add some messages
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memory.chat_memory.add_ai_message("This is me, the AI")
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memory.chat_memory.add_user_message("This is me, the human")
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# get the message history from the memory store and turn it into a json
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messages = memory.chat_memory.messages
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messages_json = json.dumps([_message_to_dict(msg) for msg in messages])
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assert "This is me, the AI" in messages_json
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assert "This is me, the human" in messages_json
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# remove the record from Cassandra, so the next test run won't pick it up
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memory.chat_memory.clear()
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assert memory.chat_memory.messages == []
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