| from __future__ import annotations
|
|
|
| import importlib
|
| import logging
|
| import unicodedata
|
| from bisect import bisect_right
|
| from codecs import IncrementalDecoder
|
| from encodings.aliases import aliases
|
| from functools import lru_cache
|
| from re import findall
|
| from typing import Generator
|
|
|
| from _multibytecodec import (
|
| MultibyteIncrementalDecoder,
|
| )
|
|
|
| from .constant import (
|
| ENCODING_MARKS,
|
| IANA_SUPPORTED_SIMILAR,
|
| RE_POSSIBLE_ENCODING_INDICATION,
|
| UNICODE_RANGES_COMBINED,
|
| UNICODE_SECONDARY_RANGE_KEYWORD,
|
| UTF8_MAXIMAL_ALLOCATION,
|
| COMMON_CJK_CHARACTERS,
|
| _LATIN,
|
| _CJK,
|
| _HANGUL,
|
| _KATAKANA,
|
| _HIRAGANA,
|
| _THAI,
|
| _ARABIC,
|
| _ARABIC_ISOLATED_FORM,
|
| _ACCENT_KEYWORDS,
|
| _ACCENTUATED,
|
| )
|
|
|
|
|
| @lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
|
| def _character_flags(character: str) -> int:
|
| """Compute all name-based classification flags with a single unicodedata.name() call."""
|
| try:
|
| desc: str = unicodedata.name(character)
|
| except ValueError:
|
| return 0
|
|
|
| flags: int = 0
|
|
|
| if "LATIN" in desc:
|
| flags |= _LATIN
|
| if "CJK" in desc:
|
| flags |= _CJK
|
| if "HANGUL" in desc:
|
| flags |= _HANGUL
|
| if "KATAKANA" in desc:
|
| flags |= _KATAKANA
|
| if "HIRAGANA" in desc:
|
| flags |= _HIRAGANA
|
| if "THAI" in desc:
|
| flags |= _THAI
|
| if "ARABIC" in desc:
|
| flags |= _ARABIC
|
| if "ISOLATED FORM" in desc:
|
| flags |= _ARABIC_ISOLATED_FORM
|
|
|
| for kw in _ACCENT_KEYWORDS:
|
| if kw in desc:
|
| flags |= _ACCENTUATED
|
| break
|
|
|
| return flags
|
|
|
|
|
| @lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
|
| def is_accentuated(character: str) -> bool:
|
| return bool(_character_flags(character) & _ACCENTUATED)
|
|
|
|
|
| @lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
|
| def remove_accent(character: str) -> str:
|
| decomposed: str = unicodedata.decomposition(character)
|
| if not decomposed:
|
| return character
|
|
|
| codes: list[str] = decomposed.split(" ")
|
|
|
| return chr(int(codes[0], 16))
|
|
|
|
|
|
|
|
|
| _UNICODE_RANGES_SORTED: list[tuple[int, int, str]] = sorted(
|
| (ord_range.start, ord_range.stop, name)
|
| for name, ord_range in UNICODE_RANGES_COMBINED.items()
|
| )
|
| _UNICODE_RANGE_STARTS: list[int] = [e[0] for e in _UNICODE_RANGES_SORTED]
|
|
|
|
|
| @lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
|
| def unicode_range(character: str) -> str | None:
|
| """
|
| Retrieve the Unicode range official name from a single character.
|
| """
|
| character_ord: int = ord(character)
|
|
|
|
|
| idx = bisect_right(_UNICODE_RANGE_STARTS, character_ord) - 1
|
| if idx >= 0:
|
| start, stop, name = _UNICODE_RANGES_SORTED[idx]
|
| if character_ord < stop:
|
| return name
|
|
|
| return None
|
|
|
|
|
| @lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
|
| def is_latin(character: str) -> bool:
|
| return bool(_character_flags(character) & _LATIN)
|
|
|
|
|
| @lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
|
| def is_punctuation(character: str) -> bool:
|
| character_category: str = unicodedata.category(character)
|
|
|
| if "P" in character_category:
|
| return True
|
|
|
| character_range: str | None = unicode_range(character)
|
|
|
| if character_range is None:
|
| return False
|
|
|
| return "Punctuation" in character_range
|
|
|
|
|
| @lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
|
| def is_symbol(character: str) -> bool:
|
| character_category: str = unicodedata.category(character)
|
|
|
| if "S" in character_category or "N" in character_category:
|
| return True
|
|
|
| character_range: str | None = unicode_range(character)
|
|
|
| if character_range is None:
|
| return False
|
|
|
| return "Forms" in character_range and character_category != "Lo"
|
|
|
|
|
| @lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
|
| def is_emoticon(character: str) -> bool:
|
| character_range: str | None = unicode_range(character)
|
|
|
| if character_range is None:
|
| return False
|
|
|
| return "Emoticons" in character_range or "Pictographs" in character_range
|
|
|
|
|
| @lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
|
| def is_separator(character: str) -> bool:
|
| if character.isspace() or character in {"|", "+", "<", ">"}:
|
| return True
|
|
|
| character_category: str = unicodedata.category(character)
|
|
|
| return "Z" in character_category or character_category in {"Po", "Pd", "Pc"}
|
|
|
|
|
| @lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
|
| def is_case_variable(character: str) -> bool:
|
| return character.islower() != character.isupper()
|
|
|
|
|
| @lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
|
| def is_cjk(character: str) -> bool:
|
| return bool(_character_flags(character) & _CJK)
|
|
|
|
|
| @lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
|
| def is_hiragana(character: str) -> bool:
|
| return bool(_character_flags(character) & _HIRAGANA)
|
|
|
|
|
| @lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
|
| def is_katakana(character: str) -> bool:
|
| return bool(_character_flags(character) & _KATAKANA)
|
|
|
|
|
| @lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
|
| def is_hangul(character: str) -> bool:
|
| return bool(_character_flags(character) & _HANGUL)
|
|
|
|
|
| @lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
|
| def is_thai(character: str) -> bool:
|
| return bool(_character_flags(character) & _THAI)
|
|
|
|
|
| @lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
|
| def is_arabic(character: str) -> bool:
|
| return bool(_character_flags(character) & _ARABIC)
|
|
|
|
|
| @lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
|
| def is_arabic_isolated_form(character: str) -> bool:
|
| return bool(_character_flags(character) & _ARABIC_ISOLATED_FORM)
|
|
|
|
|
| @lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
|
| def is_cjk_uncommon(character: str) -> bool:
|
| return character not in COMMON_CJK_CHARACTERS
|
|
|
|
|
| @lru_cache(maxsize=len(UNICODE_RANGES_COMBINED))
|
| def is_unicode_range_secondary(range_name: str) -> bool:
|
| return any(keyword in range_name for keyword in UNICODE_SECONDARY_RANGE_KEYWORD)
|
|
|
|
|
| @lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
|
| def is_unprintable(character: str) -> bool:
|
| return (
|
| character.isspace() is False
|
| and character.isprintable() is False
|
| and character != "\x1a"
|
| and character != "\ufeff"
|
|
|
| )
|
|
|
|
|
| def any_specified_encoding(
|
| sequence: bytes | bytearray, search_zone: int = 8192
|
| ) -> str | None:
|
| """
|
| Extract using ASCII-only decoder any specified encoding in the first n-bytes.
|
| """
|
| if not isinstance(sequence, (bytes, bytearray)):
|
| raise TypeError
|
|
|
| seq_len: int = len(sequence)
|
|
|
| results: list[str] = findall(
|
| RE_POSSIBLE_ENCODING_INDICATION,
|
| sequence[: min(seq_len, search_zone)].decode("ascii", errors="ignore"),
|
| )
|
|
|
| if len(results) == 0:
|
| return None
|
|
|
| for specified_encoding in results:
|
| specified_encoding = specified_encoding.lower().replace("-", "_")
|
|
|
| encoding_alias: str
|
| encoding_iana: str
|
|
|
| for encoding_alias, encoding_iana in aliases.items():
|
| if encoding_alias == specified_encoding:
|
| return encoding_iana
|
| if encoding_iana == specified_encoding:
|
| return encoding_iana
|
|
|
| return None
|
|
|
|
|
| @lru_cache(maxsize=128)
|
| def is_multi_byte_encoding(name: str) -> bool:
|
| """
|
| Verify is a specific encoding is a multi byte one based on it IANA name
|
| """
|
| return name in {
|
| "utf_8",
|
| "utf_8_sig",
|
| "utf_16",
|
| "utf_16_be",
|
| "utf_16_le",
|
| "utf_32",
|
| "utf_32_le",
|
| "utf_32_be",
|
| "utf_7",
|
| } or issubclass(
|
| importlib.import_module(f"encodings.{name}").IncrementalDecoder,
|
| MultibyteIncrementalDecoder,
|
| )
|
|
|
|
|
| def identify_sig_or_bom(sequence: bytes | bytearray) -> tuple[str | None, bytes]:
|
| """
|
| Identify and extract SIG/BOM in given sequence.
|
| """
|
|
|
| for iana_encoding in ENCODING_MARKS:
|
| marks: bytes | list[bytes] = ENCODING_MARKS[iana_encoding]
|
|
|
| if isinstance(marks, bytes):
|
| marks = [marks]
|
|
|
| for mark in marks:
|
| if sequence.startswith(mark):
|
| return iana_encoding, mark
|
|
|
| return None, b""
|
|
|
|
|
| def should_strip_sig_or_bom(iana_encoding: str) -> bool:
|
| return iana_encoding not in {"utf_16", "utf_32"}
|
|
|
|
|
| def iana_name(cp_name: str, strict: bool = True) -> str:
|
| """Returns the Python normalized encoding name (Not the IANA official name)."""
|
| cp_name = cp_name.lower().replace("-", "_")
|
|
|
| encoding_alias: str
|
| encoding_iana: str
|
|
|
| for encoding_alias, encoding_iana in aliases.items():
|
| if cp_name in [encoding_alias, encoding_iana]:
|
| return encoding_iana
|
|
|
| if strict:
|
| raise ValueError(f"Unable to retrieve IANA for '{cp_name}'")
|
|
|
| return cp_name
|
|
|
|
|
| def cp_similarity(iana_name_a: str, iana_name_b: str) -> float:
|
| if is_multi_byte_encoding(iana_name_a) or is_multi_byte_encoding(iana_name_b):
|
| return 0.0
|
|
|
| decoder_a = importlib.import_module(f"encodings.{iana_name_a}").IncrementalDecoder
|
| decoder_b = importlib.import_module(f"encodings.{iana_name_b}").IncrementalDecoder
|
|
|
| id_a: IncrementalDecoder = decoder_a(errors="ignore")
|
| id_b: IncrementalDecoder = decoder_b(errors="ignore")
|
|
|
| character_match_count: int = 0
|
|
|
| for i in range(256):
|
| to_be_decoded: bytes = bytes([i])
|
| if id_a.decode(to_be_decoded) == id_b.decode(to_be_decoded):
|
| character_match_count += 1
|
|
|
| return character_match_count / 256
|
|
|
|
|
| def is_cp_similar(iana_name_a: str, iana_name_b: str) -> bool:
|
| """
|
| Determine if two code page are at least 80% similar. IANA_SUPPORTED_SIMILAR dict was generated using
|
| the function cp_similarity.
|
| """
|
| return (
|
| iana_name_a in IANA_SUPPORTED_SIMILAR
|
| and iana_name_b in IANA_SUPPORTED_SIMILAR[iana_name_a]
|
| )
|
|
|
|
|
| def set_logging_handler(
|
| name: str = "charset_normalizer",
|
| level: int = logging.INFO,
|
| format_string: str = "%(asctime)s | %(levelname)s | %(message)s",
|
| ) -> None:
|
| logger = logging.getLogger(name)
|
| logger.setLevel(level)
|
|
|
| handler = logging.StreamHandler()
|
| handler.setFormatter(logging.Formatter(format_string))
|
| logger.addHandler(handler)
|
|
|
|
|
| def cut_sequence_chunks(
|
| sequences: bytes | bytearray,
|
| encoding_iana: str,
|
| offsets: range,
|
| chunk_size: int,
|
| bom_or_sig_available: bool,
|
| strip_sig_or_bom: bool,
|
| sig_payload: bytes,
|
| is_multi_byte_decoder: bool,
|
| decoded_payload: str | None = None,
|
| ) -> Generator[str, None, None]:
|
| if decoded_payload and is_multi_byte_decoder is False:
|
| for i in offsets:
|
| chunk = decoded_payload[i : i + chunk_size]
|
| if not chunk:
|
| break
|
| yield chunk
|
| else:
|
| for i in offsets:
|
| chunk_end = i + chunk_size
|
| if chunk_end > len(sequences) + 8:
|
| continue
|
|
|
| cut_sequence = sequences[i : i + chunk_size]
|
|
|
| if bom_or_sig_available and strip_sig_or_bom is False:
|
| cut_sequence = sig_payload + cut_sequence
|
|
|
| chunk = cut_sequence.decode(
|
| encoding_iana,
|
| errors="ignore" if is_multi_byte_decoder else "strict",
|
| )
|
|
|
|
|
|
|
| if is_multi_byte_decoder and i > 0:
|
| chunk_partial_size_chk: int = min(chunk_size, 16)
|
|
|
| if (
|
| decoded_payload
|
| and chunk[:chunk_partial_size_chk] not in decoded_payload
|
| ):
|
| for j in range(i, i - 4, -1):
|
| cut_sequence = sequences[j:chunk_end]
|
|
|
| if bom_or_sig_available and strip_sig_or_bom is False:
|
| cut_sequence = sig_payload + cut_sequence
|
|
|
| chunk = cut_sequence.decode(encoding_iana, errors="ignore")
|
|
|
| if chunk[:chunk_partial_size_chk] in decoded_payload:
|
| break
|
|
|
| yield chunk
|
|
|