Metadata-Version: 1.1
Name: google-i18n-address
Version: 2.4.0
Summary: Address validation helpers for Google's i18n address database
Home-page: https://github.com/mirumee/google-i18n-address
Author: Mirumee Software
Author-email: hello@mirumee.com
License: BSD
Description: Google i18n address
        ===========================================================================================
        
        |codecov.io| |Circle CI| |PyPi downloads| |requires.io| |PyPi version| |PyPi pythons| |GitHub|
        
        This package contains a copy of `Google's i18n
        address <https://chromium-i18n.appspot.com/ssl-address>`_ metadata repository
        that contains great data but comes with no uptime guarantees.
        
        Contents of this package will allow you to programatically build address
        forms that adhere to rules of a particular region or country, validate
        local addresses and format them to produce a valid address label for
        delivery.
        
        The package also contains a Python interface for address validation.
        
        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.
        
        
        Address fields
        ~~~~~~~~~~~~~~
        
        Here is the list of recognized fields:
        
        * ``country_code`` is a two-letter ISO 3166-1 country code
        * ``country_area`` is a designation of a region, province or state,
          recognized values include official names, designated abbreviations,
          official translations and latin transliterations
        * ``city`` is a city or town name, recognized values include official names,
          official translations and latin transliterations
        * ``city_area`` is a sublocality like a district, recognized values include
          official names, official translations and latin transliterations
        * ``street_address`` is the (possibly multiline) street address
        * ``postal_code`` is a postal code or zip code
        * ``sorting_code`` is a sorting code
        * ``name`` is a person's name
        * ``company_name`` is a name of a company or organization
        
        
        Errors
        ~~~~~~
        
        Address validation with only country code:
        
        .. code:: python
        
            >>> 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'}
        
        With correct address:
        
        .. code:: python
        
            >>> 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'}
        
        Postal code/zip code validation example:
        
        .. code:: python
        
            >>> 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'}
        
        
        Address latinization
        ~~~~~~~~~~~~~~~~~~~~
        
        In some cases it may be useful to display foreign addresses in a more
        accessible format. You can use the ``latinize_address`` function to obtain
        a more verbose, latinized version of an address.
        
        This version is suitable for display and useful for full text search indexing
        but the normalized form is what should be stored in the database and used when
        printing address labels.
        
        .. code:: python
        
            >>> 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'}
        
        It will also return expanded names for area types that normally use codes and
        abbreviations such as state names in US:
        
        .. code:: python
        
            >>> 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 formatting
        ~~~~~~~~~~~~~~~~~~
        
        You can use the ``format_address`` function to format the address following
        the destination country's post office regulations:
        
        .. code:: python
        
            >>> 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
        
        You can also ask for a latin-friendly version:
        
        .. code:: python
        
            >>> 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
        
        
        Validation rules
        ~~~~~~~~~~~~~~~~
        
        You can use the ``get_validation_rules`` function to obtain validation data
        useful for constructing address forms specific for a particular country:
        
        .. code:: python
        
            >>> 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:
        
        .. code:: python
        
           >> 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 i18n data
        -------------
        
        Raw data is stored in a dict:
        
        .. code:: python
        
            >>> from i18naddress import load_validation_data
            >>> i18n_country_data = load_validation_data()
            >>> 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.
        
        .. code:: python
        
            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
        
        
        .. image:: https://ga-beacon.appspot.com/UA-10159761-14/mirumee/google-i18n-address?pixel
        
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Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Environment :: Web Environment
Classifier: Topic :: Software Development :: Internationalization
