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51 lines
1.8 KiB
Python
51 lines
1.8 KiB
Python
"""Document loader helpers."""
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import concurrent.futures
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from typing import NamedTuple
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import charset_normalizer
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class FileEncoding(NamedTuple):
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"""A file encoding as the NamedTuple."""
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encoding: str | None
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"""The encoding of the file."""
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confidence: float
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"""The confidence of the encoding."""
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language: str | None
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"""The language of the file."""
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def detect_file_encodings(file_path: str, timeout: int = 5, sample_size: int = 1024 * 1024) -> list[FileEncoding]:
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"""Try to detect the file encoding.
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Returns a list of `FileEncoding` tuples with the detected encodings ordered
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by confidence.
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Args:
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file_path: The path to the file to detect the encoding for.
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timeout: The timeout in seconds for the encoding detection.
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sample_size: The number of bytes to read for encoding detection. Default is 1MB.
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For large files, reading only a sample is sufficient and prevents timeout.
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"""
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def read_and_detect(filename: str):
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rst = charset_normalizer.from_path(filename)
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best = rst.best()
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if best is None:
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return []
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file_encoding = FileEncoding(encoding=best.encoding, confidence=best.coherence, language=best.language)
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return [file_encoding]
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with concurrent.futures.ThreadPoolExecutor() as executor:
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future = executor.submit(read_and_detect, file_path)
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try:
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encodings = future.result(timeout=timeout)
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except concurrent.futures.TimeoutError:
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raise TimeoutError(f"Timeout reached while detecting encoding for {file_path}")
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if all(encoding.encoding is None for encoding in encodings):
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raise RuntimeError(f"Could not detect encoding for {file_path}")
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return [enc for enc in encodings if enc.encoding is not None]
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