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55 lines
2.0 KiB
55 lines
2.0 KiB
from typing import Any, Dict, Optional, Union
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from warnings import warn
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from .api import from_bytes
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from .constant import CHARDET_CORRESPONDENCE
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def detect(
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byte_str: bytes, should_rename_legacy: bool = False, **kwargs: Any
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) -> Dict[str, Optional[Union[str, float]]]:
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"""
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chardet legacy method
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Detect the encoding of the given byte string. It should be mostly backward-compatible.
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Encoding name will match Chardet own writing whenever possible. (Not on encoding name unsupported by it)
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This function is deprecated and should be used to migrate your project easily, consult the documentation for
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further information. Not planned for removal.
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:param byte_str: The byte sequence to examine.
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:param should_rename_legacy: Should we rename legacy encodings
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to their more modern equivalents?
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"""
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if len(kwargs):
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warn(
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f"charset-normalizer disregard arguments '{','.join(list(kwargs.keys()))}' in legacy function detect()"
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)
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if not isinstance(byte_str, (bytearray, bytes)):
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raise TypeError( # pragma: nocover
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"Expected object of type bytes or bytearray, got: "
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"{0}".format(type(byte_str))
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)
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if isinstance(byte_str, bytearray):
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byte_str = bytes(byte_str)
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r = from_bytes(byte_str).best()
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encoding = r.encoding if r is not None else None
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language = r.language if r is not None and r.language != "Unknown" else ""
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confidence = 1.0 - r.chaos if r is not None else None
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# Note: CharsetNormalizer does not return 'UTF-8-SIG' as the sig get stripped in the detection/normalization process
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# but chardet does return 'utf-8-sig' and it is a valid codec name.
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if r is not None and encoding == "utf_8" and r.bom:
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encoding += "_sig"
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if should_rename_legacy is False and encoding in CHARDET_CORRESPONDENCE:
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encoding = CHARDET_CORRESPONDENCE[encoding]
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return {
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"encoding": encoding,
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"language": language,
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"confidence": confidence,
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}
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