mirror of
https://github.com/hwchase17/langchain.git
synced 2025-11-21 05:27:56 +00:00
a0c2281540
```python
"""python scripts/update_mypy_ruff.py"""
import glob
import tomllib
from pathlib import Path
import toml
import subprocess
import re
ROOT_DIR = Path(__file__).parents[1]
def main():
for path in glob.glob(str(ROOT_DIR / "libs/**/pyproject.toml"), recursive=True):
print(path)
with open(path, "rb") as f:
pyproject = tomllib.load(f)
try:
pyproject["tool"]["poetry"]["group"]["typing"]["dependencies"]["mypy"] = (
"^1.10"
)
pyproject["tool"]["poetry"]["group"]["lint"]["dependencies"]["ruff"] = (
"^0.5"
)
except KeyError:
continue
with open(path, "w") as f:
toml.dump(pyproject, f)
cwd = "/".join(path.split("/")[:-1])
completed = subprocess.run(
"poetry lock --no-update; poetry install --with typing; poetry run mypy . --no-color",
cwd=cwd,
shell=True,
capture_output=True,
text=True,
)
logs = completed.stdout.split("\n")
to_ignore = {}
for l in logs:
if re.match("^(.*)\:(\d+)\: error:.*\[(.*)\]", l):
path, line_no, error_type = re.match(
"^(.*)\:(\d+)\: error:.*\[(.*)\]", l
).groups()
if (path, line_no) in to_ignore:
to_ignore[(path, line_no)].append(error_type)
else:
to_ignore[(path, line_no)] = [error_type]
print(len(to_ignore))
for (error_path, line_no), error_types in to_ignore.items():
all_errors = ", ".join(error_types)
full_path = f"{cwd}/{error_path}"
try:
with open(full_path, "r") as f:
file_lines = f.readlines()
except FileNotFoundError:
continue
file_lines[int(line_no) - 1] = (
file_lines[int(line_no) - 1][:-1] + f" # type: ignore[{all_errors}]\n"
)
with open(full_path, "w") as f:
f.write("".join(file_lines))
subprocess.run(
"poetry run ruff format .; poetry run ruff --select I --fix .",
cwd=cwd,
shell=True,
capture_output=True,
text=True,
)
if __name__ == "__main__":
main()
```
73 lines
2.2 KiB
Python
73 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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