mirror of
https://github.com/hwchase17/langchain.git
synced 2025-08-22 10:59:22 +00:00
```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() ```
59 lines
1.6 KiB
Python
59 lines
1.6 KiB
Python
import uuid
|
|
from typing import Callable, Optional
|
|
|
|
import pytest # type: ignore[import-not-found]
|
|
from langchain_core.embeddings import Embeddings
|
|
|
|
from langchain_qdrant import Qdrant
|
|
from tests.integration_tests.common import ConsistentFakeEmbeddings
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
["embeddings", "embedding_function"],
|
|
[
|
|
(ConsistentFakeEmbeddings(), None),
|
|
(ConsistentFakeEmbeddings().embed_query, None),
|
|
(None, ConsistentFakeEmbeddings().embed_query),
|
|
],
|
|
)
|
|
def test_qdrant_embedding_interface(
|
|
embeddings: Optional[Embeddings], embedding_function: Optional[Callable]
|
|
) -> None:
|
|
"""Test Qdrant may accept different types for embeddings."""
|
|
from qdrant_client import QdrantClient
|
|
|
|
client = QdrantClient(":memory:")
|
|
collection_name = uuid.uuid4().hex
|
|
|
|
Qdrant(
|
|
client,
|
|
collection_name,
|
|
embeddings=embeddings,
|
|
embedding_function=embedding_function,
|
|
)
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
["embeddings", "embedding_function"],
|
|
[
|
|
(ConsistentFakeEmbeddings(), ConsistentFakeEmbeddings().embed_query),
|
|
(None, None),
|
|
],
|
|
)
|
|
def test_qdrant_embedding_interface_raises_value_error(
|
|
embeddings: Optional[Embeddings], embedding_function: Optional[Callable]
|
|
) -> None:
|
|
"""Test Qdrant requires only one method for embeddings."""
|
|
from qdrant_client import QdrantClient
|
|
|
|
client = QdrantClient(":memory:")
|
|
collection_name = uuid.uuid4().hex
|
|
|
|
with pytest.raises(ValueError):
|
|
Qdrant(
|
|
client,
|
|
collection_name,
|
|
embeddings=embeddings,
|
|
embedding_function=embedding_function,
|
|
)
|