google-i18n-address 2.3.4

Addresses validation

The normalize_address function checks the address and either returns its canonical form (suitable for storage and use in addressing envelopes) or raises an InvalidAddress exception that contains a list of errors.

>>> from i18naddress import InvalidAddress, normalize_address
>>> try:
...     address = normalize_address({'country_code': 'US'})
... except InvalidAddress as e:
...     print(e.errors)
...
{'city': 'required',
 'country_area': 'required',
 'postal_code': 'required',
 'street_address': 'required'}

>>> from i18naddress import normalize_address
>>> address = normalize_address({
    'country_code': 'US',
    'country_area': 'California',
    'city': 'Mountain View',
    'postal_code': '94043',
    'street_address': '1600 Amphitheatre Pkwy'})
>>> print(address)
{'city': 'MOUNTAIN VIEW',
 'city_area': '',
 'country_area': 'CA',
 'country_code': 'US',
 'postal_code': '94043',
 'sorting_code': '',
 'street_address': '1600 Amphitheatre Pkwy'}

>>> from i18naddress import InvalidAddress, normalize_address
>>> try:
...     address = normalize_address({
...         'country_code': 'US',
...         'country_area': 'California',
...         'city': 'Mountain View',
...         'postal_code': '74043',
...         'street_address': '1600 Amphitheatre Pkwy'})
... except InvalidAddress as e:
...     print(e.errors)
...
{'postal_code': 'invalid'}

>>> from i18naddress import latinize_address
>>> address = {
...     'country_code': 'CN',
...     'country_area': '云南省',
...     'postal_code': '677400',
...     'city': '临沧市',
...     'city_area': '凤庆县',
...     'street_address': '中关村东路1号'}
>>> latinize_address(address)
{'country_code': 'CN',
 'country_area': 'Yunnan Sheng',
 'city': 'Lincang Shi',
 'city_area': 'Lincang Shi',
 'sorting_code': '',
 'postal_code': '677400',
 'street_address': '中关村东路1号'}

>>> from i18naddress import latinize_address
>>> address = {
...     'country_code': 'US',
...     'country_area': 'CA',
...     'postal_code': '94037',
...     'city': 'Mountain View',
...     'street_address': '1600 Charleston Rd.'}
>>> latinize_address(address)
{'country_code': 'US',
 'country_area': 'California',
 'city': 'Mountain View',
 'city_area': '',
 'sorting_code': '',
 'postal_code': '94037',
 'street_address': '1600 Charleston Rd.'}

>>> address = {
...     'country_code': 'CN',
...     'country_area': '云南省',
...     'postal_code': '677400',
...     'city': '临沧市',
...     'city_area': '凤庆县',
...     'street_address': '中关村东路1号'}
>>>> print(format_address(address))
677400
云南省临沧市凤庆县
中关村东路1号
CHINA

>>> address = {
...     'country_code': 'CN',
...     'country_area': '云南省',
...     'postal_code': '677400',
...     'city': '临沧市',
...     'city_area': '凤庆县',
...     'street_address': '中关村东路1号'}
>>> print(format_address(address, latin=True))
中关村东路1号
凤庆县
临沧市
云南省, 677400
CHINA

>>> from i18naddress import get_validation_rules
>>> get_validation_rules({'country_code': 'US', 'country_area': 'CA'})
ValidationRules(
    country_code='US',
    country_name='UNITED STATES',
    address_format='%N%n%O%n%A%n%C, %S %Z',
    address_latin_format='%N%n%O%n%A%n%C, %S %Z',
    allowed_fields={'street_address', 'company_name', 'city', 'name', 'country_area', 'postal_code'},
    required_fields={'street_address', 'city', 'country_area', 'postal_code'},
    upper_fields={'city', 'country_area'},
    country_area_type='state',
    country_area_choices=[('AL', 'Alabama'), ..., ('WY', 'Wyoming')],
    city_type='city',
    city_choices=[],
    city_area_type='suburb',
    city_area_choices=[],
    postal_code_type='zip',
    postal_code_matchers=[re.compile('^(\\d{5})(?:[ \\-](\\d{4}))?$'), re.compile('^9[0-5]|96[01]')],
    postal_code_examples=['90000', '96199'],
    postal_code_prefix='')

All known fields

You can use KNOWN_FIELDS set, to render optional address fields as hidden elements of your form:

>> from i18naddress import get_validation_rules, KNOWN_FIELDS
>> rules = get_validation_rules({'country_code': 'US'})
>> KNOWN_FIELDS - rules.allowed_fields
{'city_area', 'sorting_code'}

Raw Google’s i18n data

All raw data are stored in I18nCountryData dict like object:

>>> from i18naddress import I18nCountryData
>>> i18n_country_data = I18nCountryData()
>>> i18n_country_data['US']
{'fmt': '%N%n%O%n%A%n%C, %S %Z',
 'id': 'data/US',
 'key': 'US',
 'lang': 'en',
 'languages': 'en',
 'name': 'UNITED STATES',
 'posturl': 'https://tools.usps.com/go/ZipLookupAction!input.action',
 'require': 'ACSZ',
 'state_name_type': 'state',
 'sub_keys': 'AL~AK~AS~AZ~AR~AA~AE~AP~CA~CO~CT~DE~DC~FL~GA~GU~HI~ID~IL~IN~IA~KS~KY~LA~ME~MH~MD~MA~MI~FM~MN~MS~MO~MT~NE~NV~NH~NJ~NM~NY~NC~ND~MP~OH~OK~OR~PW~PA~PR~RI~SC~SD~TN~TX~UT~VT~VI~VA~WA~WV~WI~WY',
 'sub_names': 'Alabama~Alaska~American Samoa~Arizona~Arkansas~Armed Forces (AA)~Armed Forces (AE)~Armed Forces (AP)~California~Colorado~Connecticut~Delaware~District of Columbia~Florida~Georgia~Guam~Hawaii~Idaho~Illinois~Indiana~Iowa~Kansas~Kentucky~Louisiana~Maine~Marshall Islands~Maryland~Massachusetts~Michigan~Micronesia~Minnesota~Mississippi~Missouri~Montana~Nebraska~Nevada~New Hampshire~New Jersey~New Mexico~New York~North Carolina~North Dakota~Northern Mariana Islands~Ohio~Oklahoma~Oregon~Palau~Pennsylvania~Puerto Rico~Rhode Island~South Carolina~South Dakota~Tennessee~Texas~Utah~Vermont~Virgin Islands~Virginia~Washington~West Virginia~Wisconsin~Wyoming',
 'sub_zipexs': '35000,36999~99500,99999~96799~85000,86999~71600,72999~34000,34099~09000,09999~96200,96699~90000,96199~80000,81999~06000,06999~19700,19999~20000,20099:20200,20599:56900,56999~32000,33999:34100,34999~30000,31999:39800,39899:39901~96910,96932~96700,96798:96800,96899~83200,83999~60000,62999~46000,47999~50000,52999~66000,67999~40000,42799~70000,71599~03900,04999~96960,96979~20600,21999~01000,02799:05501:05544~48000,49999~96941,96944~55000,56799~38600,39799~63000,65999~59000,59999~68000,69999~88900,89999~03000,03899~07000,08999~87000,88499~10000,14999:06390:00501:00544~27000,28999~58000,58999~96950,96952~43000,45999~73000,74999~97000,97999~96940~15000,19699~00600,00799:00900,00999~02800,02999~29000,29999~57000,57999~37000,38599~75000,79999:88500,88599:73301:73344~84000,84999~05000,05999~00800,00899~20100,20199:22000,24699~98000,99499~24700,26999~53000,54999~82000,83199:83414',
 'sub_zips': '3[56]~99[5-9]~96799~8[56]~71[6-9]|72~340~09~96[2-6]~9[0-5]|96[01]~8[01]~06~19[7-9]~20[02-5]|569~3[23]|34[1-9]~3[01]|398|39901~969([1-2]\\d|3[12])~967[0-8]|9679[0-8]|968~83[2-9]~6[0-2]~4[67]~5[0-2]~6[67]~4[01]|42[0-7]~70|71[0-5]~039|04~969[67]~20[6-9]|21~01|02[0-7]|05501|05544~4[89]~9694[1-4]~55|56[0-7]~38[6-9]|39[0-7]~6[3-5]~59~6[89]~889|89~03[0-8]~0[78]~87|88[0-4]~1[0-4]|06390|00501|00544~2[78]~58~9695[0-2]~4[3-5]~7[34]~97~969(39|40)~1[5-8]|19[0-6]~00[679]~02[89]~29~57~37|38[0-5]~7[5-9]|885|73301|73344~84~05~008~201|2[23]|24[0-6]~98|99[0-4]~24[7-9]|2[56]~5[34]~82|83[01]|83414',
 'upper': 'CS',
 'zip': '(\\d{5})(?:[ \\-](\\d{4}))?',
 'zip_name_type': 'zip',
 'zipex': '95014,22162-1010'}
>>> i18n_country_data['US/CA']
{'id': 'data/US/CA',
 'key': 'CA',
 'lang': 'en',
 'name': 'California',
 'zip': '9[0-5]|96[01]',
 'zipex': '90000,96199'}

Used with Django form

Django forms will return only required address fields in form.cleaned_data dict. So addresses in the database will be normalized.

from django import forms

from i18naddress import InvalidAddress, normalize_address, get_validation_rules


class AddressForm(forms.Form):

    COUNTRY_CHOICES = [
        ('PL', 'Poland'),
        ('AE', 'United Arab Emirates'),
        ('US', 'United States of America')]

    ERROR_MESSAGES = {
        'required': 'This field is required',
        'invalid': 'Enter a valid name'}

    name = forms.CharField(required=True)
    company_name = forms.CharField(required=False)
    street_address = forms.CharField(required=False)
    city = forms.CharField(required=False)
    city_area = forms.CharField(required=False)
    country_code = forms.ChoiceField(required=True, choices=COUNTRY_CHOICES)
    country_area = forms.CharField(required=False)
    postal_code = forms.CharField(required=False)

    def clean(self):
        clean_data = super(AddressForm, self).clean()
        validation_rules = get_validation_rules(clean_data)
        try:
            valid_address = normalize_address(clean_data)
        except InvalidAddress as e:
            errors = e.errors
            valid_address = None
            for field, error_code in errors.items():
                if field == 'postal_code':
                    examples = validation_rules.postal_code_examples
                    msg = 'Invalid value, use fomat like %s' % examples
                else:
                    msg = ERROR_MESSAGES[error_code]
                self.add_error(field, msg)
        return valid_address or clean_data