Mimesis: mock data for developers.
Project description
Mimesis is a fast and easy to use Python library for generating dummy data for a variety of purposes. This data can be particularly useful during software development and testing. For example, it could be used to populate a testing database for a web application with user information such as email addresses, usernames, first names, last names, etc.
Mimesis uses a JSON-based datastore and does not require any modules that are not in the Python standard library. There are over nineteen different data providers available, which can produce data related to food, people, computer hardware, transportation, addresses, and more.
Documentation
Complete documentation for Mimesis is available here: http://mimesis.readthedocs.io/
Installation
To install Mimesis, simply:
➜ ~ pip install mimesisBasic Usage:
>>> from mimesis import Personal, Address
>>> person = Personal('en')
>>> address = Address('en')
>>> person.full_name(gender='female')
'Antonetta Garrison'
>>> person.email(gender='male')
'oren5936@live.com'
>>> person.occupation()
'Programmer'
>>> address.address()
'713 Rock Stravenue'
>>> address.city()
'Dumont'
>>> address.country()
'Switzerland'
>>> address.country_iso(fmt='iso2')
'WF'
>>> address.country_iso(fmt='iso3')
'BFA'
>>> address.country_iso(fmt='numeric')
'744'
>>> address.continent()
'South America'Locales
You can specify a locale when creating providers and they will return data that is appropriate for the language or country associated with that locale. Mimesis currently includes support for 32 different locales.
Using locales:
>>> from mimesis import Personal
>>> en = Personal('en')
>>> de = Personal('de')
>>> ic = Personal('is')
>>> en.full_name()
'Carolin Brady'
>>> de.full_name()
'Sabrina Gutermuth'
>>> ic.full_name()
'Rósa Þórlindsdóttir'When you only need to generate data for a single locale, use the Generic provider, and you can access all Mimesis providers from one object.
>>> from mimesis import Generic
>>> g = Generic('es')
>>> g.datetime.month()
'Agosto'
>>> g.code.imei()
'353918052107063'
>>> g.food.fruit()
'Limón'Advantages
Mimesis offers a number of advantages over other similar libraries, such as Faker:
Performance. Mimesis is significantly faster than other similar libraries.
Completeness. Mimesis strives to provide many detailed providers that offer a variety of data generators.
Simplicity. Mimesis does not require any modules other than the Python standard library.
See here for an example of how we compare performance with other libraries.
Custom Providers
You also can add custom provider to Generic.
>>> class SomeProvider():
...
... class Meta:
... name = "some_provider"
...
... @staticmethod
... def one():
... return 1
>>> class Another():
...
... @staticmethod
... def bye():
... return "Bye!"
>>> generic.add_provider(SomeProvider)
>>> generic.add_provider(Another)
>>> generic.some_provider.one()
1
>>> generic.another.bye()
'Bye!'Builtins specific data providers
Some countries have data types specific to that country. For example social security numbers in the United States (en locale), and cadastro de pessoas físicas (CPF) in Brazil (pt-br locale).
If you would like to use these country-specific providers, then you must import them explicitly:
>>> from mimesis import Generic
>>> from mimesis.builtins.pt_br import BrazilSpecProvider
>>> generic = Generic('pt-br')
>>> class BrazilProvider(BrazilSpecProvider):
...
... class Meta:
... name = "brazil_provider"
...
>>> generic.add_provider(BrazilProvider)
>>> generic.brazil_provider.cpf()
'696.441.186-00'Decorators
If your locale is cyrillic, but you need latinized locale-specific data, then you can use special decorator. At this moment it’s work only for Russian:
>>> from mimesis import Personal
>>> from mimesis.decorators import romanized
>>> pr = Personal('ru')
>>> @romanized('ru')
... def get_name_ro():
... return pr.full_name()
...
>>> def get_name_ru():
... return pr.full_name()
...
>>> get_name_ru()
'Вида Панова'
>>> get_name_ro()
'Veronika Denisova'Disclaimer
The authors assume no responsibility for how you use this library data generated by it. This library is designed only for developers with good intentions. Do not use the data generated with Mimesis for illegal purposes.
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