343 lines
9.1 KiB
Python
343 lines
9.1 KiB
Python
try:
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import unicodedata2 as unicodedata
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except ImportError:
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import unicodedata # type: ignore[no-redef]
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import importlib
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import logging
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from codecs import IncrementalDecoder
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from encodings.aliases import aliases
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from functools import lru_cache
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from re import findall
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from typing import List, Optional, Set, Tuple, Union
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from _multibytecodec import MultibyteIncrementalDecoder # type: ignore
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from .constant import (
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ENCODING_MARKS,
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IANA_SUPPORTED_SIMILAR,
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RE_POSSIBLE_ENCODING_INDICATION,
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UNICODE_RANGES_COMBINED,
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UNICODE_SECONDARY_RANGE_KEYWORD,
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UTF8_MAXIMAL_ALLOCATION,
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)
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@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
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def is_accentuated(character: str) -> bool:
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try:
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description = unicodedata.name(character) # type: str
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except ValueError:
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return False
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return (
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"WITH GRAVE" in description
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or "WITH ACUTE" in description
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or "WITH CEDILLA" in description
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or "WITH DIAERESIS" in description
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or "WITH CIRCUMFLEX" in description
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or "WITH TILDE" in description
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)
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@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
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def remove_accent(character: str) -> str:
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decomposed = unicodedata.decomposition(character) # type: str
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if not decomposed:
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return character
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codes = decomposed.split(" ") # type: List[str]
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return chr(int(codes[0], 16))
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@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
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def unicode_range(character: str) -> Optional[str]:
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"""
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Retrieve the Unicode range official name from a single character.
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"""
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character_ord = ord(character) # type: int
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for range_name, ord_range in UNICODE_RANGES_COMBINED.items():
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if character_ord in ord_range:
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return range_name
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return None
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@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
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def is_latin(character: str) -> bool:
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try:
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description = unicodedata.name(character) # type: str
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except ValueError:
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return False
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return "LATIN" in description
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def is_ascii(character: str) -> bool:
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try:
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character.encode("ascii")
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except UnicodeEncodeError:
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return False
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return True
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@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
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def is_punctuation(character: str) -> bool:
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character_category = unicodedata.category(character) # type: str
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if "P" in character_category:
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return True
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character_range = unicode_range(character) # type: Optional[str]
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if character_range is None:
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return False
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return "Punctuation" in character_range
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@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
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def is_symbol(character: str) -> bool:
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character_category = unicodedata.category(character) # type: str
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if "S" in character_category or "N" in character_category:
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return True
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character_range = unicode_range(character) # type: Optional[str]
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if character_range is None:
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return False
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return "Forms" in character_range
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@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
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def is_emoticon(character: str) -> bool:
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character_range = unicode_range(character) # type: Optional[str]
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if character_range is None:
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return False
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return "Emoticons" in character_range
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@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
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def is_separator(character: str) -> bool:
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if character.isspace() or character in {"｜", "+", ",", ";", "<", ">"}:
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return True
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character_category = unicodedata.category(character) # type: str
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return "Z" in character_category
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@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
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def is_case_variable(character: str) -> bool:
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return character.islower() != character.isupper()
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def is_private_use_only(character: str) -> bool:
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character_category = unicodedata.category(character) # type: str
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return character_category == "Co"
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@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
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def is_cjk(character: str) -> bool:
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try:
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character_name = unicodedata.name(character)
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except ValueError:
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return False
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return "CJK" in character_name
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@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
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def is_hiragana(character: str) -> bool:
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try:
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character_name = unicodedata.name(character)
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except ValueError:
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return False
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return "HIRAGANA" in character_name
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@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
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def is_katakana(character: str) -> bool:
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try:
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character_name = unicodedata.name(character)
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except ValueError:
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return False
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return "KATAKANA" in character_name
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@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
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def is_hangul(character: str) -> bool:
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try:
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character_name = unicodedata.name(character)
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except ValueError:
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return False
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return "HANGUL" in character_name
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@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION)
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def is_thai(character: str) -> bool:
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try:
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character_name = unicodedata.name(character)
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except ValueError:
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return False
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return "THAI" in character_name
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@lru_cache(maxsize=len(UNICODE_RANGES_COMBINED))
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def is_unicode_range_secondary(range_name: str) -> bool:
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return any(keyword in range_name for keyword in UNICODE_SECONDARY_RANGE_KEYWORD)
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def any_specified_encoding(sequence: bytes, search_zone: int = 4096) -> Optional[str]:
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"""
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Extract using ASCII-only decoder any specified encoding in the first n-bytes.
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"""
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if not isinstance(sequence, bytes):
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raise TypeError
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seq_len = len(sequence) # type: int
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results = findall(
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RE_POSSIBLE_ENCODING_INDICATION,
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sequence[: min(seq_len, search_zone)].decode("ascii", errors="ignore"),
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) # type: List[str]
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if len(results) == 0:
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return None
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for specified_encoding in results:
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specified_encoding = specified_encoding.lower().replace("-", "_")
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for encoding_alias, encoding_iana in aliases.items():
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if encoding_alias == specified_encoding:
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return encoding_iana
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if encoding_iana == specified_encoding:
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return encoding_iana
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return None
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@lru_cache(maxsize=128)
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def is_multi_byte_encoding(name: str) -> bool:
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"""
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Verify is a specific encoding is a multi byte one based on it IANA name
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"""
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return name in {
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"utf_8",
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"utf_8_sig",
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"utf_16",
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"utf_16_be",
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"utf_16_le",
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"utf_32",
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"utf_32_le",
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"utf_32_be",
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"utf_7",
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} or issubclass(
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importlib.import_module("encodings.{}".format(name)).IncrementalDecoder, # type: ignore
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MultibyteIncrementalDecoder,
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)
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def identify_sig_or_bom(sequence: bytes) -> Tuple[Optional[str], bytes]:
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"""
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Identify and extract SIG/BOM in given sequence.
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"""
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for iana_encoding in ENCODING_MARKS:
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marks = ENCODING_MARKS[iana_encoding] # type: Union[bytes, List[bytes]]
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if isinstance(marks, bytes):
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marks = [marks]
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for mark in marks:
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if sequence.startswith(mark):
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return iana_encoding, mark
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return None, b""
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def should_strip_sig_or_bom(iana_encoding: str) -> bool:
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return iana_encoding not in {"utf_16", "utf_32"}
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def iana_name(cp_name: str, strict: bool = True) -> str:
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cp_name = cp_name.lower().replace("-", "_")
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for encoding_alias, encoding_iana in aliases.items():
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if cp_name in [encoding_alias, encoding_iana]:
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return encoding_iana
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if strict:
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raise ValueError("Unable to retrieve IANA for '{}'".format(cp_name))
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return cp_name
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def range_scan(decoded_sequence: str) -> List[str]:
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ranges = set() # type: Set[str]
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for character in decoded_sequence:
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character_range = unicode_range(character) # type: Optional[str]
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if character_range is None:
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continue
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ranges.add(character_range)
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return list(ranges)
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def cp_similarity(iana_name_a: str, iana_name_b: str) -> float:
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if is_multi_byte_encoding(iana_name_a) or is_multi_byte_encoding(iana_name_b):
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return 0.0
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decoder_a = importlib.import_module("encodings.{}".format(iana_name_a)).IncrementalDecoder # type: ignore
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decoder_b = importlib.import_module("encodings.{}".format(iana_name_b)).IncrementalDecoder # type: ignore
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id_a = decoder_a(errors="ignore") # type: IncrementalDecoder
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id_b = decoder_b(errors="ignore") # type: IncrementalDecoder
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character_match_count = 0 # type: int
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for i in range(255):
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to_be_decoded = bytes([i]) # type: bytes
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if id_a.decode(to_be_decoded) == id_b.decode(to_be_decoded):
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character_match_count += 1
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return character_match_count / 254
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def is_cp_similar(iana_name_a: str, iana_name_b: str) -> bool:
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"""
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Determine if two code page are at least 80% similar. IANA_SUPPORTED_SIMILAR dict was generated using
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the function cp_similarity.
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"""
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return (
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iana_name_a in IANA_SUPPORTED_SIMILAR
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and iana_name_b in IANA_SUPPORTED_SIMILAR[iana_name_a]
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)
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def set_logging_handler(
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name: str = "charset_normalizer",
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level: int = logging.INFO,
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format_string: str = "%(asctime)s | %(levelname)s | %(message)s",
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) -> None:
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logger = logging.getLogger(name)
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logger.setLevel(level)
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handler = logging.StreamHandler()
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handler.setFormatter(logging.Formatter(format_string))
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logger.addHandler(handler)
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