| from __future__ import annotations
|
|
|
| from typing import TYPE_CHECKING, Any
|
| from warnings import warn
|
|
|
| from .api import from_bytes
|
| from .constant import CHARDET_CORRESPONDENCE, TOO_SMALL_SEQUENCE
|
|
|
| if TYPE_CHECKING:
|
| from typing import TypedDict
|
|
|
| class ResultDict(TypedDict):
|
| encoding: str | None
|
| language: str
|
| confidence: float | None
|
|
|
|
|
| def detect(
|
| byte_str: bytes, should_rename_legacy: bool = False, **kwargs: Any
|
| ) -> ResultDict:
|
| """
|
| chardet legacy method
|
| Detect the encoding of the given byte string. It should be mostly backward-compatible.
|
| Encoding name will match Chardet own writing whenever possible. (Not on encoding name unsupported by it)
|
| This function is deprecated and should be used to migrate your project easily, consult the documentation for
|
| further information. Not planned for removal.
|
|
|
| :param byte_str: The byte sequence to examine.
|
| :param should_rename_legacy: Should we rename legacy encodings
|
| to their more modern equivalents?
|
| """
|
| if len(kwargs):
|
| warn(
|
| f"charset-normalizer disregard arguments '{','.join(list(kwargs.keys()))}' in legacy function detect()"
|
| )
|
|
|
| if not isinstance(byte_str, (bytearray, bytes)):
|
| raise TypeError(
|
| f"Expected object of type bytes or bytearray, got: {type(byte_str)}"
|
| )
|
|
|
| if isinstance(byte_str, bytearray):
|
| byte_str = bytes(byte_str)
|
|
|
| r = from_bytes(byte_str).best()
|
|
|
| encoding = r.encoding if r is not None else None
|
| language = r.language if r is not None and r.language != "Unknown" else ""
|
| confidence = 1.0 - r.chaos if r is not None else None
|
|
|
|
|
|
|
|
|
| if (
|
| confidence is not None
|
| and confidence >= 0.9
|
| and encoding
|
| not in {
|
| "utf_8",
|
| "ascii",
|
| }
|
| and r.bom is False
|
| and len(byte_str) < TOO_SMALL_SEQUENCE
|
| ):
|
| confidence -= 0.2
|
|
|
|
|
|
|
| if r is not None and encoding == "utf_8" and r.bom:
|
| encoding += "_sig"
|
|
|
| if should_rename_legacy is False and encoding in CHARDET_CORRESPONDENCE:
|
| encoding = CHARDET_CORRESPONDENCE[encoding]
|
|
|
| return {
|
| "encoding": encoding,
|
| "language": language,
|
| "confidence": confidence,
|
| }
|
|
|