mirror of
https://github.com/hwchase17/langchain.git
synced 2025-06-05 06:33:20 +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()
```
55 lines
1.8 KiB
Python
55 lines
1.8 KiB
Python
"""Util that calls several NASA APIs."""
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import json
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import requests
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from langchain_core.pydantic_v1 import BaseModel
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IMAGE_AND_VIDEO_LIBRARY_URL = "https://images-api.nasa.gov"
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class NasaAPIWrapper(BaseModel):
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"""Wrapper for NASA API."""
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def get_media(self, query: str) -> str:
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params = json.loads(query)
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if params.get("q"):
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queryText = params["q"]
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params.pop("q")
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else:
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queryText = ""
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response = requests.get(
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IMAGE_AND_VIDEO_LIBRARY_URL + "/search?q=" + queryText, params=params
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)
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data = response.json()
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return data
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def get_media_metadata_manifest(self, query: str) -> str:
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response = requests.get(IMAGE_AND_VIDEO_LIBRARY_URL + "/asset/" + query)
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return response.json()
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def get_media_metadata_location(self, query: str) -> str:
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response = requests.get(IMAGE_AND_VIDEO_LIBRARY_URL + "/metadata/" + query)
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return response.json()
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def get_video_captions_location(self, query: str) -> str:
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response = requests.get(IMAGE_AND_VIDEO_LIBRARY_URL + "/captions/" + query)
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return response.json()
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def run(self, mode: str, query: str) -> str:
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if mode == "search_media":
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output = self.get_media(query)
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elif mode == "get_media_metadata_manifest":
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output = self.get_media_metadata_manifest(query)
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elif mode == "get_media_metadata_location":
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output = self.get_media_metadata_location(query)
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elif mode == "get_video_captions_location":
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output = self.get_video_captions_location(query)
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else:
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output = f"ModeError: Got unexpected mode {mode}."
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try:
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return json.dumps(output)
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except Exception:
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return str(output)
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