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September 19, 2015 12:35
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Random string processors
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from string import ascii_letters, digits | |
from re import match, sub | |
from time import strptime | |
from unicodedata import normalize | |
from datetime import datetime | |
SLUG_SEPERATOR = '-' | |
_multiple_seperators_regex = '%s{2,}' % SLUG_SEPERATOR # eg. bla-bla--bla | |
_edge_seperators_regex = r'^-|-$' # eg. -bla-bla-bla- | |
_author_regex = r'(?P<author>^.+?)(?= on)' | |
_date_regex = r'(?:.*)(?P<date>\d{2}\.\d{2}\.\d{4})' # eg. 12.03.1978 | |
_price_regex = r'(?P<price>(\d+\.)*\d+,\d{2})' # eg. 87,43 or 1.986,98 | |
_price_regex = r'(?P<price>(\d+\.)*\d+,\d{2}*)' # eg. 87,43 or 1.986,98 | |
_id_regex = r'(\d)' # eg. 9835483 | |
def parse_stock(input_string): | |
return 'stock' in input_string.lower() | |
def parse_rating(rating_string): | |
return rating_string[0] | |
def parse_author(author_and_date): | |
return match(_author_regex, author_and_date).group('author') | |
def parse_date(author_and_date): | |
return datetime(*strptime(match(_date_regex, author_and_date).group('date'), '%d.%m.%Y')[0:6]) | |
def trim_edges(text): | |
return sub(_edge_seperators_regex, '', text) | |
def strip_edges(text): | |
return text.strip() | |
def squeeze_seperators(input_string): | |
return sub(_multiple_seperators_regex, SLUG_SEPERATOR, input_string) | |
def slugify(text): | |
return ''.join([c if c in ascii_letters + digits else SLUG_SEPERATOR for c in text]) | |
def asciify(text): | |
return text if isinstance(text, str) else normalize('NFKD', text).encode('ASCII', 'ignore') | |
def force_lower(text): | |
return text.lower() | |
def parse_price(raw_price): | |
return match(_price_regex, raw_price).group('price').replace('.', '').replace(',', '.') | |
def parse_id(raw_id): | |
a = match(_id_regex, raw_id) | |
if a: | |
return a.group(0) |
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