57 lines
2.1 KiB
Python
57 lines
2.1 KiB
Python
import random
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from geodata.configs.utils import alternative_probabilities
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from geodata.math.sampling import weighted_choice, cdf
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from geodata.postal_codes.config import postal_codes_config
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from geodata.postal_codes.validation import postcode_regexes
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class PostalCodes(object):
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@classmethod
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def is_valid(cls, postal_code, country):
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regex = postcode_regexes.get(country)
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if regex:
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postal_code = postal_code.strip()
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m = regex.match(postal_code)
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if m and m.end() == len(postal_code):
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return True
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else:
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return False
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return True
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@classmethod
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def needs_validation(cls, country):
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return postal_codes_config.get_property('validate_postcode', country=country, default=False)
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@classmethod
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def should_strip_components(cls, country_code):
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return postal_codes_config.get_property('strip_components', country=country_code)
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@classmethod
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def add_country_code(cls, postal_code, country):
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postal_code = postal_code.strip()
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if not postal_codes_config.get_property('add_country_code', country=country):
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return postal_code
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cc_probability = postal_codes_config.get_property('country_code_probablity', country=country, default=0.0)
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if random.random() >= cc_probability or not postal_code or not postal_code[0].isdigit():
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return postal_code
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country_code_phrases = postal_codes_config.get_property('country_code_phrase', country=country, default=None)
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if country_code_phrases is None:
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country_code_phrase = country.upper()
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else:
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alternates, probs = alternative_probabilities(country_code_phrases)
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probs_cdf = cdf(probs)
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country_code_phrase = weighted_choice(alternates, probs_cdf)
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cc_hyphen_probability = postal_codes_config.get_property('country_code_hyphen_probability', country=country, default=0.0)
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separator = u''
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r = random.random()
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if r < cc_hyphen_probability:
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separator = u'-'
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return u'{}{}{}'.format(country_code_phrase, separator, postal_code)
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