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152 lines
4.5 KiB
Python
152 lines
4.5 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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import unicodedata
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import regex as re
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from .. import attrs
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_like_email = re.compile(r'([a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+)').match
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_tlds = set(
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"com|org|edu|gov|net|mil|aero|asia|biz|cat|coop|info|int|jobs|mobi|museum|"
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"name|pro|tel|travel|xxx|ac|ad|ae|af|ag|ai|al|am|an|ao|aq|ar|as|at|au|aw|"
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"ax|az|ba|bb|bd|be|bf|bg|bh|bi|bj|bm|bn|bo|br|bs|bt|bv|bw|by|bz|ca|cc|cd|"
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"cf|cg|ch|ci|ck|cl|cm|cn|co|cr|cs|cu|cv|cx|cy|cz|dd|de|dj|dk|dm|do|dz|ec|"
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"ee|eg|eh|er|es|et|eu|fi|fj|fk|fm|fo|fr|ga|gb|gd|ge|gf|gg|gh|gi|gl|gm|gn|"
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"gp|gq|gr|gs|gt|gu|gw|gy|hk|hm|hn|hr|ht|hu|id|ie|il|im|in|io|iq|ir|is|it|"
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"je|jm|jo|jp|ke|kg|kh|ki|km|kn|kp|kr|kw|ky|kz|la|lb|lc|li|lk|lr|ls|lt|lu|"
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"lv|ly|ma|mc|md|me|mg|mh|mk|ml|mm|mn|mo|mp|mq|mr|ms|mt|mu|mv|mw|mx|my|mz|"
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"na|nc|ne|nf|ng|ni|nl|no|np|nr|nu|nz|om|pa|pe|pf|pg|ph|pk|pl|pm|pn|pr|ps|"
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"pt|pw|py|qa|re|ro|rs|ru|rw|sa|sb|sc|sd|se|sg|sh|si|sj|sk|sl|sm|sn|so|sr|"
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"ss|st|su|sv|sy|sz|tc|td|tf|tg|th|tj|tk|tl|tm|tn|to|tp|tr|tt|tv|tw|tz|ua|"
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"ug|uk|us|uy|uz|va|vc|ve|vg|vi|vn|vu|wf|ws|ye|yt|za|zm|zw".split('|'))
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def is_punct(text):
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for char in text:
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if not unicodedata.category(char).startswith('P'):
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return False
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return True
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def is_ascii(text):
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for char in text:
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if ord(char) >= 128:
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return False
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return True
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def like_num(text):
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# can be overwritten by lang with list of number words
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text = text.replace(',', '').replace('.', '')
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if text.isdigit():
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return True
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if text.count('/') == 1:
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num, denom = text.split('/')
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if num.isdigit() and denom.isdigit():
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return True
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return False
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def is_bracket(text):
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brackets = ('(',')','[',']','{','}','<','>')
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return text in brackets
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def is_quote(text):
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quotes = ('"',"'",'`','«','»','‘','’','‚','‛','“','”','„','‟','‹','›','❮','❯',"''",'``')
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return text in quotes
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def is_left_punct(text):
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left_punct = ('(','[','{','<','"',"'",'«','‘','‚','‛','“','„','‟','‹','❮','``')
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return text in left_punct
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def is_right_punct(text):
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right_punct = (')',']','}','>','"',"'",'»','’','”','›','❯',"''")
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return text in right_punct
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def like_email(text):
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return bool(_like_email(text))
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def like_url(text):
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# We're looking for things that function in text like URLs. So, valid URL
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# or not, anything they say http:// is going to be good.
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if text.startswith('http://') or text.startswith('https://'):
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return True
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elif text.startswith('www.') and len(text) >= 5:
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return True
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if text[0] == '.' or text[-1] == '.':
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return False
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for i in range(len(text)):
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if text[i] == '.':
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break
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else:
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return False
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tld = text.rsplit('.', 1)[1].split(':', 1)[0]
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if tld.endswith('/'):
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return True
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if tld.isalpha() and tld in _tlds:
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return True
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return False
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def word_shape(text):
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if len(text) >= 100:
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return 'LONG'
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length = len(text)
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shape = []
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last = ''
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shape_char = ''
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seq = 0
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for char in text:
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if char.isalpha():
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if char.isupper():
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shape_char = 'X'
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else:
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shape_char = 'x'
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elif char.isdigit():
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shape_char = 'd'
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else:
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shape_char = char
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if shape_char == last:
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seq += 1
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else:
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seq = 0
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last = shape_char
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if seq < 4:
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shape.append(shape_char)
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return ''.join(shape)
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LEX_ATTRS = {
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attrs.LOWER: lambda string: string.lower(),
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attrs.NORM: lambda string: string.lower(),
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attrs.PREFIX: lambda string: string[0],
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attrs.SUFFIX: lambda string: string[-3:],
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attrs.CLUSTER: lambda string: 0,
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attrs.IS_ALPHA: lambda string: string.isalpha(),
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attrs.IS_DIGIT: lambda string: string.isdigit(),
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attrs.IS_LOWER: lambda string: string.islower(),
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attrs.IS_SPACE: lambda string: string.isspace(),
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attrs.IS_TITLE: lambda string: string.istitle(),
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attrs.IS_UPPER: lambda string: string.isupper(),
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attrs.IS_STOP: lambda string: False,
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attrs.IS_OOV: lambda string: True,
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attrs.PROB: lambda string: -20.,
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attrs.LIKE_EMAIL: like_email,
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attrs.LIKE_NUM: like_num,
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attrs.IS_PUNCT: is_punct,
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attrs.IS_ASCII: is_ascii,
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attrs.SHAPE: word_shape,
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attrs.IS_BRACKET:is_bracket,
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attrs.IS_QUOTE: is_quote,
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attrs.IS_LEFT_PUNCT: is_left_punct,
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attrs.IS_RIGHT_PUNCT: is_right_punct,
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attrs.LIKE_URL: like_url
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}
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