mirror of
https://github.com/hwchase17/langchain.git
synced 2025-05-12 10:37:32 +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()
```
45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
"""Tool for agent to sleep."""
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from asyncio import sleep as asleep
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from time import sleep
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from typing import Optional, Type
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from langchain_core.callbacks import (
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AsyncCallbackManagerForToolRun,
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CallbackManagerForToolRun,
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)
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from langchain_core.pydantic_v1 import BaseModel, Field
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from langchain_core.tools import BaseTool
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class SleepInput(BaseModel):
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"""Input for CopyFileTool."""
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sleep_time: int = Field(..., description="Time to sleep in seconds")
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class SleepTool(BaseTool):
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"""Tool that adds the capability to sleep."""
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name: str = "sleep"
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args_schema: Type[BaseModel] = SleepInput
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description: str = "Make agent sleep for a specified number of seconds."
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def _run(
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self,
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sleep_time: int,
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run_manager: Optional[CallbackManagerForToolRun] = None,
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) -> str:
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"""Use the Sleep tool."""
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sleep(sleep_time)
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return f"Agent slept for {sleep_time} seconds."
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async def _arun(
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self,
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sleep_time: int,
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run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
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) -> str:
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"""Use the sleep tool asynchronously."""
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await asleep(sleep_time)
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return f"Agent slept for {sleep_time} seconds."
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