mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +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()
```
|
||
|---|---|---|
| .. | ||
| agents | ||
| autonomous_agents | ||
| chat_models | ||
| comprehend_moderation | ||
| cpal | ||
| data_anonymizer | ||
| fallacy_removal | ||
| generative_agents | ||
| graph_transformers | ||
| llm_bash | ||
| llm_symbolic_math | ||
| llms | ||
| open_clip | ||
| openai_assistant | ||
| pal_chain | ||
| plan_and_execute | ||
| prompt_injection_identifier | ||
| prompts | ||
| pydantic_v1 | ||
| recommenders | ||
| retrievers | ||
| rl_chain | ||
| smart_llm | ||
| sql | ||
| synthetic_data | ||
| tabular_synthetic_data | ||
| tools | ||
| tot | ||
| utilities | ||
| video_captioning | ||
| __init__.py | ||
| py.typed | ||
| text_splitter.py | ||