spaCy/spacy/lang/lex_attrs.py

from typing import Set
import unicodedata
import re

from .. import attrs


_like_email = re.compile(r"([a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+)").match
_tlds = set(
    "com|org|edu|gov|net|mil|aero|asia|biz|cat|coop|info|int|jobs|mobi|museum|"
    "name|pro|tel|travel|xyz|icu|xxx|ac|ad|ae|af|ag|ai|al|am|an|ao|aq|ar|as|at|au|aw|"
    "ax|az|ba|bb|bd|be|bf|bg|bh|bi|bj|bm|bn|bo|br|bs|bt|bv|bw|by|bz|ca|cc|cd|"
    "cf|cg|ch|ci|ck|cl|cm|cn|co|cr|cs|cu|cv|cx|cy|cz|dd|de|dj|dk|dm|do|dz|ec|"
    "ee|eg|eh|er|es|et|eu|fi|fj|fk|fm|fo|fr|ga|gb|gd|ge|gf|gg|gh|gi|gl|gm|gn|"
    "gp|gq|gr|gs|gt|gu|gw|gy|hk|hm|hn|hr|ht|hu|id|ie|il|im|in|io|iq|ir|is|it|"
    "je|jm|jo|jp|ke|kg|kh|ki|km|kn|kp|kr|kw|ky|kz|la|lb|lc|li|lk|lr|ls|lt|lu|"
    "lv|ly|ma|mc|md|me|mg|mh|mk|ml|mm|mn|mo|mp|mq|mr|ms|mt|mu|mv|mw|mx|my|mz|"
    "na|nc|ne|nf|ng|ni|nl|no|np|nr|nu|nz|om|pa|pe|pf|pg|ph|pk|pl|pm|pn|pr|ps|"
    "pt|pw|py|qa|re|ro|rs|ru|rw|sa|sb|sc|sd|se|sg|sh|si|sj|sk|sl|sm|sn|so|sr|"
    "ss|st|su|sv|sy|sz|tc|td|tf|tg|th|tj|tk|tl|tm|tn|to|tp|tr|tt|tv|tw|tz|ua|"
    "ug|uk|us|uy|uz|va|vc|ve|vg|vi|vn|vu|wf|ws|ye|yt|za|zm|zw".split("|")
)


def is_punct(text: str) -> bool:
    for char in text:
        if not unicodedata.category(char).startswith("P"):
            return False
    return True


def is_ascii(text: str) -> bool:
    for char in text:
        if ord(char) >= 128:
            return False
    return True


def like_num(text: str) -> bool:
    if text.startswith(("+", "-", "±", "~")):
        text = text[1:]
    # can be overwritten by lang with list of number words
    text = text.replace(",", "").replace(".", "")
    if text.isdigit():
        return True
    if text.count("/") == 1:
        num, denom = text.split("/")
        if num.isdigit() and denom.isdigit():
            return True
    return False


def is_bracket(text: str) -> bool:
    brackets = ("(", ")", "[", "]", "{", "}", "<", ">")
    return text in brackets


def is_quote(text: str) -> bool:
    # fmt: off
    quotes = ('"', "'", "`", "«", "»", "‘", "’", "‚", "‛", "“", "”", "„", "‟", "‹", "›", "❮", "❯", "''", "``")
    # fmt: on
    return text in quotes


def is_left_punct(text: str) -> bool:
    # fmt: off
    left_punct = ("(", "[", "{", "<", '"', "'", "«", "‘", "‚", "‛", "“", "„", "‟", "‹", "❮", "``")
    # fmt: on
    return text in left_punct


def is_right_punct(text: str) -> bool:
    right_punct = (")", "]", "}", ">", '"', "'", "»", "’", "”", "›", "❯", "''")
    return text in right_punct


def is_currency(text: str) -> bool:
    # can be overwritten by lang with list of currency words, e.g. dollar, euro
    for char in text:
        if unicodedata.category(char) != "Sc":
            return False
    return True


def like_email(text: str) -> bool:
    return bool(_like_email(text))


def like_url(text: str) -> bool:
    # We're looking for things that function in text like URLs. So, valid URL
    # or not, anything they say http:// is going to be good.
    if text.startswith("http://") or text.startswith("https://"):
        return True
    elif text.startswith("www.") and len(text) >= 5:
        return True
    if text[0] == "." or text[-1] == ".":
        return False
    if "@" in text:
        # prevent matches on e-mail addresses – check after splitting the text
        # to still allow URLs containing an '@' character (see #1715)
        return False
    for i in range(len(text)):
        if text[i] == ".":
            break
    else:
        return False
    tld = text.rsplit(".", 1)[1].split(":", 1)[0]
    if tld.endswith("/"):
        return True
    if tld.isalpha() and tld in _tlds:
        return True
    return False


def word_shape(text: str) -> str:
    if len(text) >= 100:
        return "LONG"
    shape = []
    last = ""
    shape_char = ""
    seq = 0
    for char in text:
        if char.isalpha():
            if char.isupper():
                shape_char = "X"
            else:
                shape_char = "x"
        elif char.isdigit():
            shape_char = "d"
        else:
            shape_char = char
        if shape_char == last:
            seq += 1
        else:
            seq = 0
            last = shape_char
        if seq < 4:
            shape.append(shape_char)
    return "".join(shape)


def lower(string: str) -> str:
    return string.lower()


def prefix(string: str) -> str:
    return string[0]


def suffix(string: str) -> str:
    return string[-3:]


def is_alpha(string: str) -> bool:
    return string.isalpha()


def is_digit(string: str) -> bool:
    return string.isdigit()


def is_lower(string: str) -> bool:
    return string.islower()


def is_space(string: str) -> bool:
    return string.isspace()


def is_title(string: str) -> bool:
    return string.istitle()


def is_upper(string: str) -> bool:
    return string.isupper()


def is_stop(string: str, stops: Set[str] = set()) -> bool:
    return string.lower() in stops


def get_lang(text: str, lang: str = "") -> str:
    # This function is partially applied so lang code can be passed in
    # automatically while still allowing pickling
    return lang


LEX_ATTRS = {
    attrs.LOWER: lower,
    attrs.NORM: lower,
    attrs.PREFIX: prefix,
    attrs.SUFFIX: suffix,
    attrs.IS_ALPHA: is_alpha,
    attrs.IS_DIGIT: is_digit,
    attrs.IS_LOWER: is_lower,
    attrs.IS_SPACE: is_space,
    attrs.IS_TITLE: is_title,
    attrs.IS_UPPER: is_upper,
    attrs.IS_STOP: is_stop,
    attrs.LIKE_EMAIL: like_email,
    attrs.LIKE_NUM: like_num,
    attrs.IS_PUNCT: is_punct,
    attrs.IS_ASCII: is_ascii,
    attrs.SHAPE: word_shape,
    attrs.IS_BRACKET: is_bracket,
    attrs.IS_QUOTE: is_quote,
    attrs.IS_LEFT_PUNCT: is_left_punct,
    attrs.IS_RIGHT_PUNCT: is_right_punct,
    attrs.IS_CURRENCY: is_currency,
    attrs.LIKE_URL: like_url,
}