sgen 1.0.2

Generating test data structures

Your welcome <3

Description

Sgen is a tool for generating test data structures in Python.

from pprint import pprint

from sgen import Sgen, fields


class Pet(SGen):
    name = fields.String()


class User(SGen):
    name = fields.String()
    pet = fields.Nested(Pet(), required=True)


def main():
    datasets = list(User().positive())

    pprint(datasets, indent=2)


if __name__ == '__main__':
    main()

# [ {'name': None, 'pet': {'name': None}},
#   {'name': None, 'pet': {}},
#   {'name': None, 'pet': {'name': 'fszxSnf'}},
#   {'pet': {'name': None}},
#   {'pet': {}},
#   {'pet': {'name': 'RzGTdNzhr'}},
#   {'name': 'ttr', 'pet': {'name': None}},
#   {'name': 'ttr', 'pet': {}},
#   {'name': 'ttr', 'pet': {'name': 'ZpvMOyR'}}]

In short, SGen can be used to:

• Generating positive data structures

• Generating negative data structures

• Checking the functionality of data validation at the application input

Get It Now

pip install sgen

Documentation

Full documentation is available at here

Requirements

• Python >= 3.8

Project Links

• Repo

• Docs

• Changelog

• Issues

License

• MIT licensed.