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Elizabeth is a fast and easier to use Python library for generating dummy data, which are very useful when you need to bootstrap the database in the testing phase of your software.

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Elizabeth

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Elizabeth is a fast and easier to use Python library for generating dummy data. These data are very useful when you need to bootstrap the database in the testing phase of your software. A great example of how you can use the library are web applications on Flask or Django which need a data, such as users (email, username, name, surname etc.), posts (tags, text, title, publishing date and etc.) and so forth. The library uses the JSON files as a datastore and doesn’t have any dependencies. The library offers more than 18 different data providers (from personal ones to transport and more).

Documentation

Elizabeth is a pretty simple library and all you need to start is the small documentation. See Elizabeth's Sphinx-generated documentation here: http://elizabeth.readthedocs.io/en/latest/

Locales

At this moment a library has 16 supported locales:

Flag Code Name Native name
1 🇩🇰 da Danish Dansk
2 🇩🇪 de German Deutsch
3 🇺🇸 en English English
4 🇪🇸 es Spanish Español
5 🇮🇷 fa Farsi فارسی
6 🇫🇮 fi Finnish Suomi
7 🇫🇷 fr French Français
8 🇮🇸 is Icelandic Íslenska
9 🇮🇹 it Italian Italiano
10 🇳🇱 nl Dutch Nederlands
11 🇳🇴 no Norwegian Norsk
12 🇵🇱 pl Polish Polski
13 🇵🇹 pt Portuguese Português
14 🇧🇷 pt-br Brazilian Portuguese Português Brasileiro
15 🇷🇺 ru Russian Русский
16 🇸🇪 sv Swedish Svenska

Installation

~ pip install elizabeth

Testing

~ git clone https://github.com/lk-geimfari/elizabeth.git
➜  ~ cd elizabeth/
➜  ~ python3 -m unittest discover tests

Using with Flask

You can use Elizabeth with your Flask-application (with any other frameworks in a similar manner).

# Some logic
# ...
class Patient(db.Model):
    id = db.Column(db.Integer, primary_key=True)
    email = db.Column(db.String(120), unique=True)
    phone_number = db.Column(db.String(25))
    full_name = db.Column(db.String(100))
    weight = db.Column(db.String(64))
    height = db.Column(db.String(64))
    blood_type = db.Column(db.String(64))
    age = db.Column(db.Integer)

    def __init__(self, **kwargs):
        super(Patient, self).__init__(**kwargs)

    @staticmethod
    def _bootstrap(count=2000, locale='en'):
        from elizabeth import Personal

        person = Personal(locale)

        for _ in range(count):
            patient = Patient(
                email=person.email(),
                phone_number=person.telephone(),
                full_name=person.full_name(gender='female'),
                age=person.age(minimum=18, maximum=45),
                weight=person.weight(),
                height=person.height(),
                blood_type=person.blood_type()
            )

            db.session.add(patient)
            try:
                db.session.commit()
            except IntegrityError:
                db.session.rollback()

Just run shell mode

(venv) ➜ python3 manage.py shell

and do following:

>>> db
<SQLAlchemy engine='sqlite:///db_dev.sqlite'>

>>> Patient
<class 'app.models.Patient'>

>>> Patient()._bootstrap(count=1000, locale='en', gender='female')

Result:

en

A common use

Import a provider that you need

>>>> from elizabeth import Personal

and create instance of provider that was be imported:

>>> personal = Personal('en')

and call the one from methods:

>>> for _ in range(0, 5):
       personal.full_name(gender='female')

Output:

'Antonetta Garrison'
'Taneka Dickerson'
'Jackelyn Stafford'
'Tashia Olsen'
'Rachal Hartman'

For other locales, exactly the same way (Icelandic) :

>>> personal = Personal('is')

>>> for _ in range(0, 5):
        personal.full_name(gender='male')

Output:

'Þórgrímur Garibaldason'
'Zóphanías Bergfinnsson'
'Vésteinn Ríkharðsson'
'Hallvarður Valgarðsson'
'Baltasar Hlégestsson'

When you use only one locale you can use the Generic , that provides all providers at one class.

>>> from elizabeth import Generic

>>> g = Generic('en')

>>> for _ in range(0, 5):
        name = g.personal.name()
        b_day = g.datetime.birthday()
        "%s - %s" % (name, b_day)

Output:

'Sharda - November 4, 2000'
'Nevada - January 16, 1980'
'Dreama - August 10, 1987'
'Jani - July 30, 1989'
'Chin - September 24, 1994'

Custom provider

You also can add custom provider to Generic.

>>> from elizabeth import Generic

>>> generic = Generic('en')

>>> class SomeProvider():
        class Meta:
            name = 'some_provider'

        def ints(self):
            return [i for i in range(0, 5)]

>>> class Another():
        def bye(self):
            return "Bye!"

>>> generic.add_provider(SomeProvider)
>>> generic.add_provider(Another)

>>> generic.some_provider.ints()
[0, 1, 2, 3, 4]

>>> generic.another.bye()
'Bye!'

Data providers

Elizabeth support more than 18 data providers, such as Personal, Datetime, Internet and another.

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Contributing

Your contributions are always welcome! Please take a look at the contribution guidelines first. Here you can look a list of contributors

Changelog

See CHANGELOG.md.

Disclaimer

The author does not assume any responsibility for how you will use this library and how you will use data generated with this library. This library is designed only for developers and only with good intentions. Do not use the data generated with Elizabeth for illegal purposes.

Licence

Elizabeth is licensed under the MIT License. See LICENSE for the full license text.

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Elizabeth is a fast and easier to use Python library for generating dummy data, which are very useful when you need to bootstrap the database in the testing phase of your software.

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