mirror of
https://github.com/hwchase17/langchain
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f92006de3c
0.2rc migrations - [x] Move memory - [x] Move remaining retrievers - [x] graph_qa chains - [x] some dependency from evaluation code potentially on math utils - [x] Move openapi chain from `langchain.chains.api.openapi` to `langchain_community.chains.openapi` - [x] Migrate `langchain.chains.ernie_functions` to `langchain_community.chains.ernie_functions` - [x] migrate `langchain/chains/llm_requests.py` to `langchain_community.chains.llm_requests` - [x] Moving `langchain_community.cross_enoders.base:BaseCrossEncoder` -> `langchain_community.retrievers.document_compressors.cross_encoder:BaseCrossEncoder` (namespace not ideal, but it needs to be moved to `langchain` to avoid circular deps) - [x] unit tests langchain -- add pytest.mark.community to some unit tests that will stay in langchain - [x] unit tests community -- move unit tests that depend on community to community - [x] mv integration tests that depend on community to community - [x] mypy checks Other todo - [x] Make deprecation warnings not noisy (need to use warn deprecated and check that things are implemented properly) - [x] Update deprecation messages with timeline for code removal (likely we actually won't be removing things until 0.4 release) -- will give people more time to transition their code. - [ ] Add information to deprecation warning to show users how to migrate their code base using langchain-cli - [ ] Remove any unnecessary requirements in langchain (e.g., is SQLALchemy required?) --------- Co-authored-by: Erick Friis <erick@langchain.dev>
72 lines
2.2 KiB
Python
72 lines
2.2 KiB
Python
"""Test Momento chat message history functionality.
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To run tests, set the environment variable MOMENTO_AUTH_TOKEN to a valid
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Momento auth token. This can be obtained by signing up for a free
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Momento account at https://gomomento.com/.
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"""
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import json
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import uuid
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from datetime import timedelta
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from typing import Iterator
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import pytest
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from langchain.memory import ConversationBufferMemory
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from langchain_core.messages import message_to_dict
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from langchain_community.chat_message_histories import MomentoChatMessageHistory
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def random_string() -> str:
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return str(uuid.uuid4())
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@pytest.fixture(scope="function")
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def message_history() -> Iterator[MomentoChatMessageHistory]:
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from momento import CacheClient, Configurations, CredentialProvider
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cache_name = f"langchain-test-cache-{random_string()}"
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client = CacheClient(
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Configurations.Laptop.v1(),
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CredentialProvider.from_environment_variable("MOMENTO_API_KEY"),
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default_ttl=timedelta(seconds=30),
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)
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try:
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chat_message_history = MomentoChatMessageHistory(
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session_id="my-test-session",
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cache_client=client,
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cache_name=cache_name,
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)
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yield chat_message_history
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finally:
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client.delete_cache(cache_name)
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def test_memory_empty_on_new_session(
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message_history: MomentoChatMessageHistory,
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) -> None:
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memory = ConversationBufferMemory(
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memory_key="foo", chat_memory=message_history, return_messages=True
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)
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assert memory.chat_memory.messages == []
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def test_memory_with_message_store(message_history: MomentoChatMessageHistory) -> None:
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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 to the memory store
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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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# Verify that the messages are in the store
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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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# Verify clearing the store
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memory.chat_memory.clear()
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assert memory.chat_memory.messages == []
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