mirror of
https://github.com/hwchase17/langchain.git
synced 2025-04-27 11:41:51 +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()
```
63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
"""Wrapper around Moonshot chat models."""
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from typing import Dict
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from langchain_core.pydantic_v1 import root_validator
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from langchain_core.utils import (
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convert_to_secret_str,
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get_from_dict_or_env,
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)
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from langchain_community.chat_models import ChatOpenAI
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from langchain_community.llms.moonshot import MOONSHOT_SERVICE_URL_BASE, MoonshotCommon
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class MoonshotChat(MoonshotCommon, ChatOpenAI): # type: ignore[misc]
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"""Moonshot large language models.
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To use, you should have the ``openai`` python package installed, and the
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environment variable ``MOONSHOT_API_KEY`` set with your API key.
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(Moonshot's chat API is compatible with OpenAI's SDK.)
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Referenced from https://platform.moonshot.cn/docs
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Example:
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.. code-block:: python
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from langchain_community.chat_models.moonshot import MoonshotChat
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moonshot = MoonshotChat(model="moonshot-v1-8k")
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"""
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@root_validator()
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def validate_environment(cls, values: Dict) -> Dict:
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"""Validate that the environment is set up correctly."""
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values["moonshot_api_key"] = convert_to_secret_str(
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get_from_dict_or_env(values, "moonshot_api_key", "MOONSHOT_API_KEY")
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)
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try:
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import openai
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except ImportError:
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raise ImportError(
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"Could not import openai python package. "
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"Please install it with `pip install openai`."
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)
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client_params = {
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"api_key": values["moonshot_api_key"].get_secret_value(),
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"base_url": values["base_url"]
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if "base_url" in values
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else MOONSHOT_SERVICE_URL_BASE,
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}
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if not values.get("client"):
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values["client"] = openai.OpenAI(**client_params).chat.completions
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if not values.get("async_client"):
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values["async_client"] = openai.AsyncOpenAI(
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**client_params
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).chat.completions
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return values
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