Your welcome <3
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
pip install sgenFull documentation is available at here
- Python >= 3.8
MITlicensed.