Skip to main content

Django Globalisation Tools

Project description

.. image:: https://img.shields.io/codeship/550d9e60-1630-0134-9ad4-2e1718fe265e/default.svg
:target: https://bitbucket.org/hellwig/django-g11n
.. image:: https://coveralls.io/repos/bitbucket/hellwig/django-g11n/badge.svg?branch=default
:target: https://coveralls.io/bitbucket/hellwig/django-g11n?branch=default
.. image:: https://img.shields.io/pypi/v/django-g11n.svg
:target: https://pypi.python.org/pypi/django-g11n/
.. image:: https://img.shields.io/badge/Donate-PayPal-blue.svg
:target: https://paypal.me/MartinHellwig
.. image:: https://img.shields.io/badge/Donate-Patreon-orange.svg
:target: https://www.patreon.com/hellwig


####################
Django Globalisation
####################

What is it?
===========

- A Django app that helps in with internationalisation and localisation.

What problem does it solve?
===========================

- Guess the origin country of the request.
- Return the currency a country uses.
- Fetch the language code.
- Does not use commercial databases, uses original data sources.
- Both IPv4 and IPv6.
- Has a reasonable model layout.

How do I install it?
====================
::

$ pip install django-g11n

Use `django-integrator <https://bitbucket.org/hellwig/django-integrator>`_ to
integrate this app to your django instance, alternatively you can do it the
common manual way.


How do I use it?
================
::

# To fill initial data use the command
$ python manage.py g11n_setup
# To guess someones IP
$ python manage.py guess_tld_by_ip 8.8.8.8
# To find out what the currency is most likely associated with an tld
$ python manage.py currency_by_tld gb
#

Of course you most likely want to use it via a request instance, for that have a
look at django_g11n.tools.by_request, this has the following functions:

- ipaddress(request)
- guess_country(request)
- guess_language(request)
- guess_currency(request)
- guess_country_language_currency(request)

The will return data as you may guess from the functions name.

However since all the data is inside models, it is also usuable in an
interactive shell session like so:

.. sourcecode:: python

In [1]: from django_g11n.tools.fetch import iprange_by_ip

In [2]: iprange = iprange_by_ip('194.60.62.36')

In [3]: iprange.__dict__
Out[3]:
{'_state': <django.db.models.base.ModelState at 0x7f581dd9f9e8>,
'broadcast_hex': '000000000000000000000000c23c3fff',
'dts_delete': None,
'dts_insert': datetime.datetime(2016, 10, 10, 10, 19, 55, 241150, tzinfo=<UTC>),
'dts_update': None,
'id': 58935,
'identifier': 'rigb4_0_24_c23c3fff_0_24_c23c0000',
'ipv': 4,
'network_hex': '000000000000000000000000c23c0000',
'reference_id': 235,
'regional_nic': 'ripencc',
'tld': 'GB'}

In [4]: country = iprange.reference

In [5]: country.__dict__
Out[5]:
{'_state': <django.db.models.base.ModelState at 0x7f581dd9fda0>,
'code_2': 'GB',
'code_3': 'GBR',
'dts_delete': None,
'dts_insert': datetime.datetime(2016, 10, 10, 10, 18, 31, 274177, tzinfo=<UTC>),
'dts_update': None,
'id': 235,
'iso3166': True,
'numeric': 826,
'obsolete': False}

In [6]: country.languagecountry_set.all()
Out[6]: [<LanguageCountry: en-GB>]

In [7]: language_country = country.languagecountry_set.all()[0]

In [8]: language_country.language.__dict__
Out[8]:
{'_state': <django.db.models.base.ModelState at 0x7f581dd3cba8>,
'bibliographic': 'eng',
'code_a2': 'en',
'dts_delete': None,
'dts_insert': datetime.datetime(2016, 10, 10, 10, 20, 1, 110024, tzinfo=<UTC>),
'dts_update': None,
'english': 'English',
'french': 'anglais',
'id': 123,
'iso639_2': True,
'obsolete': False,
'terminologic': ''}

In [9]: country.countryname_set.all()
Out[9]: [<CountryName: United Kingdom>, <CountryName: United Kingdom of Great Britain and Northern Ireland>]

In [10]: country.countryname_set.all()[1].__dict__
Out[10]:
{'_country_cache': <Country: GB>,
'_state': <django.db.models.base.ModelState at 0x7f581dd43d30>,
'country_id': 235,
'default': False,
'dts_delete': None,
'dts_insert': datetime.datetime(2016, 10, 10, 10, 18, 31, 337353, tzinfo=<UTC>),
'dts_update': None,
'id': 248,
'iso3166': True,
'language_id': 42,
'value': 'United Kingdom of Great Britain and Northern Ireland'}

In [11]: country.currency_set.all()
Out[11]: [<Currency: GBP 826>]

In [12]: country.currency_set.all()[0].__dict__
Out[12]:
{'_reference_cache': <Country: GB>,
'_state': <django.db.models.base.ModelState at 0x7f581dd49940>,
'code': 'GBP',
'country': 'UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND (THE)',
'decimals': 2,
'default': True,
'dts_delete': None,
'dts_insert': datetime.datetime(2016, 10, 10, 10, 18, 31, 670707, tzinfo=<UTC>),
'dts_update': None,
'id': 754,
'is_fund': False,
'iso4217': True,
'name': 'Pound Sterling',
'numeric': 826,
'reference_id': 235}

In [13]: country.region_set.all()
Out[13]: [<Region: 826 United Kingdom of Great Britain and Northern Ireland>]

In [14]: region = country.region_set.all()[0]

In [15]: region.__dict__
Out[15]:
{'_reference_cache': <Country: GB>,
'_state': <django.db.models.base.ModelState at 0x7f581dd4e4a8>,
'dts_delete': None,
'dts_insert': datetime.datetime(2016, 10, 10, 10, 20, 1, 369095, tzinfo=<UTC>),
'dts_update': datetime.datetime(2016, 10, 10, 10, 20, 5, 295071, tzinfo=<UTC>),
'english': 'United Kingdom of Great Britain and Northern Ireland',
'id': 116,
'numeric': '826',
'obsolete': False,
'reference_id': 235,
'unsd_m49': True}

In [16]: def print_regions(region):
....: while True:
....: print(region.numeric, ' - ', region.english)
....: chains = region.chains_region_is_lower.all()
....: if chains.count() == 0:
....: break
....: region = chains[0].upper
....:

In [17]: print_regions(region)
826 - United Kingdom of Great Britain and Northern Ireland
154 - Northern Europe
150 - Europe
001 - World

In [18]:

As you can see above that most models refer back to the Country model via
the 'reference' field, this is done because most tables are filled from outside
source. For country, language and currencies we use ISO, for regions we use
UN-SD M49 and the ipranges are downloaded from the regional NIC's.
Since all of them have slightly different representation of the country names,
the country names in each table has been preserved on import and after import
the system tries to find the appropriate foreign relationship to the Country
table.

What license is this?
=====================
Two-clause BSD


How can I get support?
======================
Please use the repo's bug tracker to leave behind any questions, feedback,
suggestions and comments. I will handle them depending on my time and what looks
interesting. If you require guaranteed support please contact me via
e-mail so we can discuss appropriate compensation.


Signing Off
===========
Is my work helpful or valuable to you? You can repay me by donating via:

https://paypal.me/MartinHellwig

.. image:: https://img.shields.io/badge/PayPal-MartinHellwig-blue.svg
:target: https://paypal.me/MartinHellwig
:alt: Donate via PayPal.Me
:scale: 120 %

-or-

https://www.patreon.com/hellwig

.. image:: https://img.shields.io/badge/Patreon-hellwig-orange.svg
:target: https://www.patreon.com/hellwig
:alt: Donate via Patreon
:scale: 120 %


Thank you!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Django-G11N-1.1.0.1.tar.gz (28.9 kB view details)

Uploaded Source

File details

Details for the file Django-G11N-1.1.0.1.tar.gz.

File metadata

File hashes

Hashes for Django-G11N-1.1.0.1.tar.gz
Algorithm Hash digest
SHA256 1c44a858d0bd8732be334627883c27ee4351116a8965cd60f65301a277386c16
MD5 a035b5f0f8b1b310849f2276945081df
BLAKE2b-256 2bcb56e46242de9a14661df8233022d7ee3c2e569e57fb592706177fc1ddf470

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page