{ "info": { "author": "Mirumee Software", "author_email": "hello@mirumee.com", "bugtrack_url": null, "classifiers": [ "Environment :: Web Environment", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Topic :: Software Development :: Internationalization" ], "description": "Google i18n address\n===========================================================================================\n\n|codecov.io| |Circle CI| |PyPi downloads| |requires.io| |PyPi version| |PyPi pythons| |GitHub|\n\nThis package contains a copy of `Google's i18n\naddress `_ metadata repository\nthat contains great data but comes with no uptime guarantees.\n\nContents of this package will allow you to programatically build address\nforms that adhere to rules of a particular region or country, validate\nlocal addresses and format them to produce a valid address label for\ndelivery.\n\nThe package also contains a Python interface for address validation.\n\nAddresses validation\n--------------------\n\nThe ``normalize_address`` function checks the address and either returns its\ncanonical form (suitable for storage and use in addressing envelopes) or\nraises an ``InvalidAddress`` exception that contains a list of errors.\n\n\nAddress fields\n~~~~~~~~~~~~~~\n\nHere is the list of recognized fields:\n\n* ``country_code`` is a two-letter ISO 3166-1 country code\n* ``country_area`` is a designation of a region, province or state,\n recognized values include official names, designated abbreviations,\n official translations and latin transliterations\n* ``city`` is a city or town name, recognized values include official names,\n official translations and latin transliterations\n* ``city_area`` is a sublocality like a district, recognized values include\n official names, official translations and latin transliterations\n* ``street_address`` is the (possibly multiline) street address\n* ``postal_code`` is a postal code or zip code\n* ``sorting_code`` is a sorting code\n* ``name`` is a person's name\n* ``company_name`` is a name of a company or organization\n\n\nErrors\n~~~~~~\n\nAddress validation with only country code:\n\n.. code:: python\n\n >>> from i18naddress import InvalidAddress, normalize_address\n >>> try:\n ... address = normalize_address({'country_code': 'US'})\n ... except InvalidAddress as e:\n ... print(e.errors)\n ...\n {'city': 'required',\n 'country_area': 'required',\n 'postal_code': 'required',\n 'street_address': 'required'}\n\nWith correct address:\n\n.. code:: python\n\n >>> from i18naddress import normalize_address\n >>> address = normalize_address({\n 'country_code': 'US',\n 'country_area': 'California',\n 'city': 'Mountain View',\n 'postal_code': '94043',\n 'street_address': '1600 Amphitheatre Pkwy'})\n >>> print(address)\n {'city': 'MOUNTAIN VIEW',\n 'city_area': '',\n 'country_area': 'CA',\n 'country_code': 'US',\n 'postal_code': '94043',\n 'sorting_code': '',\n 'street_address': '1600 Amphitheatre Pkwy'}\n\nPostal code/zip code validation example:\n\n.. code:: python\n\n >>> from i18naddress import InvalidAddress, normalize_address\n >>> try:\n ... address = normalize_address({\n ... 'country_code': 'US',\n ... 'country_area': 'California',\n ... 'city': 'Mountain View',\n ... 'postal_code': '74043',\n ... 'street_address': '1600 Amphitheatre Pkwy'})\n ... except InvalidAddress as e:\n ... print(e.errors)\n ...\n {'postal_code': 'invalid'}\n\n\nAddress latinization\n~~~~~~~~~~~~~~~~~~~~\n\nIn some cases it may be useful to display foreign addresses in a more\naccessible format. You can use the ``latinize_address`` function to obtain\na more verbose, latinized version of an address.\n\nThis version is suitable for display and useful for full text search indexing\nbut the normalized form is what should be stored in the database and used when\nprinting address labels.\n\n.. code:: python\n\n >>> from i18naddress import latinize_address\n >>> address = {\n ... 'country_code': 'CN',\n ... 'country_area': '\u4e91\u5357\u7701',\n ... 'postal_code': '677400',\n ... 'city': '\u4e34\u6ca7\u5e02',\n ... 'city_area': '\u51e4\u5e86\u53bf',\n ... 'street_address': '\u4e2d\u5173\u6751\u4e1c\u8def1\u53f7'}\n >>> latinize_address(address)\n {'country_code': 'CN',\n 'country_area': 'Yunnan Sheng',\n 'city': 'Lincang Shi',\n 'city_area': 'Lincang Shi',\n 'sorting_code': '',\n 'postal_code': '677400',\n 'street_address': '\u4e2d\u5173\u6751\u4e1c\u8def1\u53f7'}\n\nIt will also return expanded names for area types that normally use codes and\nabbreviations such as state names in US:\n\n.. code:: python\n\n >>> from i18naddress import latinize_address\n >>> address = {\n ... 'country_code': 'US',\n ... 'country_area': 'CA',\n ... 'postal_code': '94037',\n ... 'city': 'Mountain View',\n ... 'street_address': '1600 Charleston Rd.'}\n >>> latinize_address(address)\n {'country_code': 'US',\n 'country_area': 'California',\n 'city': 'Mountain View',\n 'city_area': '',\n 'sorting_code': '',\n 'postal_code': '94037',\n 'street_address': '1600 Charleston Rd.'}\n\n\nAddress formatting\n~~~~~~~~~~~~~~~~~~\n\nYou can use the ``format_address`` function to format the address following\nthe destination country's post office regulations:\n\n.. code:: python\n\n >>> address = {\n ... 'country_code': 'CN',\n ... 'country_area': '\u4e91\u5357\u7701',\n ... 'postal_code': '677400',\n ... 'city': '\u4e34\u6ca7\u5e02',\n ... 'city_area': '\u51e4\u5e86\u53bf',\n ... 'street_address': '\u4e2d\u5173\u6751\u4e1c\u8def1\u53f7'}\n >>>> print(format_address(address))\n 677400\n \u4e91\u5357\u7701\u4e34\u6ca7\u5e02\u51e4\u5e86\u53bf\n \u4e2d\u5173\u6751\u4e1c\u8def1\u53f7\n CHINA\n\nYou can also ask for a latin-friendly version:\n\n.. code:: python\n\n >>> address = {\n ... 'country_code': 'CN',\n ... 'country_area': '\u4e91\u5357\u7701',\n ... 'postal_code': '677400',\n ... 'city': '\u4e34\u6ca7\u5e02',\n ... 'city_area': '\u51e4\u5e86\u53bf',\n ... 'street_address': '\u4e2d\u5173\u6751\u4e1c\u8def1\u53f7'}\n >>> print(format_address(address, latin=True))\n \u4e2d\u5173\u6751\u4e1c\u8def1\u53f7\n \u51e4\u5e86\u53bf\n \u4e34\u6ca7\u5e02\n \u4e91\u5357\u7701, 677400\n CHINA\n\n\nValidation rules\n~~~~~~~~~~~~~~~~\n\nYou can use the ``get_validation_rules`` function to obtain validation data\nuseful for constructing address forms specific for a particular country:\n\n.. code:: python\n\n >>> from i18naddress import get_validation_rules\n >>> get_validation_rules({'country_code': 'US', 'country_area': 'CA'})\n ValidationRules(\n country_code='US',\n country_name='UNITED STATES',\n address_format='%N%n%O%n%A%n%C, %S %Z',\n address_latin_format='%N%n%O%n%A%n%C, %S %Z',\n allowed_fields={'street_address', 'company_name', 'city', 'name', 'country_area', 'postal_code'},\n required_fields={'street_address', 'city', 'country_area', 'postal_code'},\n upper_fields={'city', 'country_area'},\n country_area_type='state',\n country_area_choices=[('AL', 'Alabama'), ..., ('WY', 'Wyoming')],\n city_type='city',\n city_choices=[],\n city_area_type='suburb',\n city_area_choices=[],\n postal_code_type='zip',\n postal_code_matchers=[re.compile('^(\\\\d{5})(?:[ \\\\-](\\\\d{4}))?$'), re.compile('^9[0-5]|96[01]')],\n postal_code_examples=['90000', '96199'],\n postal_code_prefix='')\n\nAll known fields\n----------------\n\nYou can use ``KNOWN_FIELDS`` set, to render optional address fields as hidden\nelements of your form:\n\n.. code:: python\n\n >> from i18naddress import get_validation_rules, KNOWN_FIELDS\n >> rules = get_validation_rules({'country_code': 'US'})\n >> KNOWN_FIELDS - rules.allowed_fields\n {'city_area', 'sorting_code'}\n\n\nRaw Google's i18n data\n----------------------\n\nAll raw data are stored in ``I18nCountryData`` dict like object:\n\n.. code:: python\n\n >>> from i18naddress import I18nCountryData\n >>> i18n_country_data = I18nCountryData()\n >>> i18n_country_data['US']\n {'fmt': '%N%n%O%n%A%n%C, %S %Z',\n 'id': 'data/US',\n 'key': 'US',\n 'lang': 'en',\n 'languages': 'en',\n 'name': 'UNITED STATES',\n 'posturl': 'https://tools.usps.com/go/ZipLookupAction!input.action',\n 'require': 'ACSZ',\n 'state_name_type': 'state',\n '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',\n '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',\n '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',\n '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',\n 'upper': 'CS',\n 'zip': '(\\\\d{5})(?:[ \\\\-](\\\\d{4}))?',\n 'zip_name_type': 'zip',\n 'zipex': '95014,22162-1010'}\n >>> i18n_country_data['US/CA']\n {'id': 'data/US/CA',\n 'key': 'CA',\n 'lang': 'en',\n 'name': 'California',\n 'zip': '9[0-5]|96[01]',\n 'zipex': '90000,96199'}\n\n\nUsed with Django form\n---------------------\n\nDjango forms will return only required address fields in ``form.cleaned_data`` dict. 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