mirror of
https://github.com/hwchase17/langchain
synced 2024-10-29 17:07:25 +00:00
42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
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from pathlib import Path
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import pytest
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from langchain.document_loaders import DirectoryLoader, TextLoader
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from langchain.document_loaders.helpers import detect_file_encodings
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@pytest.mark.requires("chardet")
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def test_loader_detect_encoding() -> None:
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"""Test text loader."""
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path = Path(__file__).parent.parent / "examples"
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files = path.glob("**/*.txt")
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loader = DirectoryLoader(str(path), glob="**/*.txt", loader_cls=TextLoader)
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loader_detect_encoding = DirectoryLoader(
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str(path),
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glob="**/*.txt",
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loader_kwargs={"autodetect_encoding": True},
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loader_cls=TextLoader,
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)
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with pytest.raises((UnicodeDecodeError, RuntimeError)):
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loader.load()
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docs = loader_detect_encoding.load()
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assert len(docs) == len(list(files))
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@pytest.mark.skip(reason="slow test")
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@pytest.mark.requires("chardet")
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def test_loader_detect_encoding_timeout(tmpdir: str) -> None:
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path = Path(tmpdir)
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file_path = str(path / "blob.txt")
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# 2mb binary blob
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with open(file_path, "wb") as f:
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f.write(b"\x00" * 2_000_000)
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with pytest.raises(TimeoutError):
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detect_file_encodings(file_path, timeout=1)
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detect_file_encodings(file_path, timeout=10)
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