mirror of
https://github.com/hwchase17/langchain.git
synced 2025-05-02 13:55:42 +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()
```
66 lines
1.9 KiB
Python
66 lines
1.9 KiB
Python
"""Integration test for Wikipedia Retriever."""
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from typing import List
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import pytest
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from langchain_core.documents import Document
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from langchain_community.retrievers import WikipediaRetriever
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@pytest.fixture
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def retriever() -> WikipediaRetriever:
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return WikipediaRetriever() # type: ignore[call-arg]
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def assert_docs(docs: List[Document], all_meta: bool = False) -> None:
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for doc in docs:
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assert doc.page_content
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assert doc.metadata
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main_meta = {"title", "summary", "source"}
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assert set(doc.metadata).issuperset(main_meta)
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if all_meta:
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assert len(set(doc.metadata)) > len(main_meta)
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else:
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assert len(set(doc.metadata)) == len(main_meta)
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def test_load_success(retriever: WikipediaRetriever) -> None:
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docs = retriever.invoke("HUNTER X HUNTER")
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assert len(docs) > 1
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assert len(docs) <= 3
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assert_docs(docs, all_meta=False)
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def test_load_success_all_meta(retriever: WikipediaRetriever) -> None:
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retriever.load_all_available_meta = True
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docs = retriever.invoke("HUNTER X HUNTER")
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assert len(docs) > 1
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assert len(docs) <= 3
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assert_docs(docs, all_meta=True)
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def test_load_success_init_args() -> None:
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retriever = WikipediaRetriever( # type: ignore[call-arg]
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lang="en", top_k_results=1, load_all_available_meta=True
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)
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docs = retriever.invoke("HUNTER X HUNTER")
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assert len(docs) == 1
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assert_docs(docs, all_meta=True)
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def test_load_success_init_args_more() -> None:
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retriever = WikipediaRetriever( # type: ignore[call-arg]
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lang="en", top_k_results=20, load_all_available_meta=False
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)
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docs = retriever.invoke("HUNTER X HUNTER")
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assert len(docs) == 20
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assert_docs(docs, all_meta=False)
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def test_load_no_result(retriever: WikipediaRetriever) -> None:
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docs = retriever.invoke(
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"NORESULTCALL_NORESULTCALL_NORESULTCALL_NORESULTCALL_NORESULTCALL_NORESULTCALL"
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)
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assert not docs
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