lollipop-hypothesis 0.1

Library to generate random test data using Hypothesis based on Lollipop schema

Library to generate random test data using Hypothesis based on Lollipop schema.

Example

import lollipop.types as lt
import lollipop.validators as lv
import string

EMAIL_REGEXP = r"^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$"
Email = lt.validated_type(lt.String, 'Email', lv.Regexp(EMAIL_REGEXP))

USER = lt.Object({
    'name': lt.String(validate=lv.Length(min=1)),
    'email': Email(),
    'age': lt.Optional(lt.Integer(validate=lv.Range(min=18))),
})

import hypothesis as h
import hypothesis.strategies as hs
import lollipop_hypothesis as lh

# Use custom strategy for Email type
lh.register(
    Email,
    lambda _, type, context=None: \
    hs.tuples(
        hs.text('abcdefghijklmnopqrstuvwxyz'
                'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
                '0123456789'
                '_.+-', min_size=1),
        hs.lists(
            hs.text('abcdefghijklmnopqrstuvwxyz'
                    'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
                    '0123456789', min_size=2),
            min_size=2,
            average_size=3,
        )
    ).map(lambda (name, domain_parts): name + '@' + '.'.join(domain_parts)),
)

# Write a test using data generation strategy based on Lollipop schema
@h.given(lh.type_strategy(USER))
def test_can_register_any_valid_user(user):
    register(user)

Installation

$ pip install lollipop-hypothesis

Requirements

• Python >= 2.7 and <= 3.6

• hypothesis >= 3.8

• lollipop >= 1.1.3

Project Links

• PyPI: https://pypi.python.org/pypi/lollipop-hypothesis

• Issues: https://github.com/maximkulkin/lollipop-hypothesis/issues

License

MIT licensed. See the bundled LICENSE file for more details.