airflow_scheduler/.venv/Lib/site-packages/slugify/slugify.py

from __future__ import annotations

import re
import unicodedata
from collections.abc import Iterable
from html.entities import name2codepoint

try:
    import unidecode
except ImportError:
    import text_unidecode as unidecode

__all__ = ['slugify', 'smart_truncate']


CHAR_ENTITY_PATTERN = re.compile(r'&(%s);' % '|'.join(name2codepoint))
DECIMAL_PATTERN = re.compile(r'&#(\d+);')
HEX_PATTERN = re.compile(r'&#x([\da-fA-F]+);')
QUOTE_PATTERN = re.compile(r'[\']+')
DISALLOWED_CHARS_PATTERN = re.compile(r'[^-a-zA-Z0-9]+')
DISALLOWED_UNICODE_CHARS_PATTERN = re.compile(r'[\W_]+')
DUPLICATE_DASH_PATTERN = re.compile(r'-{2,}')
NUMBERS_PATTERN = re.compile(r'(?<=\d),(?=\d)')
DEFAULT_SEPARATOR = '-'


def smart_truncate(
    string: str,
    max_length: int = 0,
    word_boundary: bool = False,
    separator: str = " ",
    save_order: bool = False,
) -> str:
    """
    Truncate a string.
    :param string (str): string for modification
    :param max_length (int): output string length
    :param word_boundary (bool):
    :param save_order (bool): if True then word order of output string is like input string
    :param separator (str): separator between words
    :return:
    """

    string = string.strip(separator)

    if not max_length:
        return string

    if len(string) < max_length:
        return string

    if not word_boundary:
        return string[:max_length].strip(separator)

    if separator not in string:
        return string[:max_length]

    truncated = ''
    for word in string.split(separator):
        if word:
            next_len = len(truncated) + len(word)
            if next_len < max_length:
                truncated += '{}{}'.format(word, separator)
            elif next_len == max_length:
                truncated += '{}'.format(word)
                break
            else:
                if save_order:
                    break
    if not truncated:  # pragma: no cover
        truncated = string[:max_length]
    return truncated.strip(separator)


def slugify(
    text: str,
    entities: bool = True,
    decimal: bool = True,
    hexadecimal: bool = True,
    max_length: int = 0,
    word_boundary: bool = False,
    separator: str = DEFAULT_SEPARATOR,
    save_order: bool = False,
    stopwords: Iterable[str] = (),
    regex_pattern: re.Pattern[str] | str | None = None,
    lowercase: bool = True,
    replacements: Iterable[Iterable[str]] = (),
    allow_unicode: bool = False,
) -> str:
    """
    Make a slug from the given text.
    :param text (str): initial text
    :param entities (bool): converts html entities to unicode
    :param decimal (bool): converts html decimal to unicode
    :param hexadecimal (bool): converts html hexadecimal to unicode
    :param max_length (int): output string length
    :param word_boundary (bool): truncates to complete word even if length ends up shorter than max_length
    :param save_order (bool): if parameter is True and max_length > 0 return whole words in the initial order
    :param separator (str): separator between words
    :param stopwords (iterable): words to discount
    :param regex_pattern (str): regex pattern for disallowed characters
    :param lowercase (bool): activate case sensitivity by setting it to False
    :param replacements (iterable): list of replacement rules e.g. [['|', 'or'], ['%', 'percent']]
    :param allow_unicode (bool): allow unicode characters
    :return (str):
    """

    # user-specific replacements
    if replacements:
        for old, new in replacements:
            text = text.replace(old, new)

    # ensure text is unicode
    if not isinstance(text, str):
        text = str(text, 'utf-8', 'ignore')

    # replace quotes with dashes - pre-process
    text = QUOTE_PATTERN.sub(DEFAULT_SEPARATOR, text)

    # normalize text, convert to unicode if required
    if allow_unicode:
        text = unicodedata.normalize('NFKC', text)
    else:
        text = unicodedata.normalize('NFKD', text)
        text = unidecode.unidecode(text)

    # ensure text is still in unicode
    if not isinstance(text, str):
        text = str(text, 'utf-8', 'ignore')

    # character entity reference
    if entities:
        text = CHAR_ENTITY_PATTERN.sub(lambda m: chr(name2codepoint[m.group(1)]), text)

    # decimal character reference
    if decimal:
        try:
            text = DECIMAL_PATTERN.sub(lambda m: chr(int(m.group(1))), text)
        except Exception:
            pass

    # hexadecimal character reference
    if hexadecimal:
        try:
            text = HEX_PATTERN.sub(lambda m: chr(int(m.group(1), 16)), text)
        except Exception:
            pass

    # re normalize text
    if allow_unicode:
        text = unicodedata.normalize('NFKC', text)
    else:
        text = unicodedata.normalize('NFKD', text)

    # make the text lowercase (optional)
    if lowercase:
        text = text.lower()

    # remove generated quotes -- post-process
    text = QUOTE_PATTERN.sub('', text)

    # cleanup numbers
    text = NUMBERS_PATTERN.sub('', text)

    # replace all other unwanted characters
    if allow_unicode:
        pattern = regex_pattern or DISALLOWED_UNICODE_CHARS_PATTERN
    else:
        pattern = regex_pattern or DISALLOWED_CHARS_PATTERN

    text = re.sub(pattern, DEFAULT_SEPARATOR, text)

    # remove redundant
    text = DUPLICATE_DASH_PATTERN.sub(DEFAULT_SEPARATOR, text).strip(DEFAULT_SEPARATOR)

    # remove stopwords
    if stopwords:
        if lowercase:
            stopwords_lower = [s.lower() for s in stopwords]
            words = [w for w in text.split(DEFAULT_SEPARATOR) if w not in stopwords_lower]
        else:
            words = [w for w in text.split(DEFAULT_SEPARATOR) if w not in stopwords]
        text = DEFAULT_SEPARATOR.join(words)

    # finalize user-specific replacements
    if replacements:
        for old, new in replacements:
            text = text.replace(old, new)

    # smart truncate if requested
    if max_length > 0:
        text = smart_truncate(text, max_length, word_boundary, DEFAULT_SEPARATOR, save_order)

    if separator != DEFAULT_SEPARATOR:
        text = text.replace(DEFAULT_SEPARATOR, separator)

    return text