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```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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