Skip to main content

Library to generate instances of Pydantic models.

Project description

Lorem Pysum

Generate instances of Pydantic models.

License: MIT Code style: black PyPI version Code Coverage

Install

Lorem Pysum is on PyPI and can be installed with:

poetry add lorem-pysum

or

pip install lorem-pysum

Usage

Given a Pydantic model type Lorem Pysum can generate instances of that model with randomly generated values.

Example

from enum import auto, Enum
from uuid import UUID

import lorem_pysum
from pydantic import BaseModel


class Flavor(Enum):
    MOCHA = auto()
    VANILLA = auto()


class Brand(BaseModel):
    brand_name: str


class Coffee(BaseModel):
    id: UUID
    description: str
    cream: bool
    sweetener: int
    flavor: Flavor
    brand: Brand


lorem_pysum.generate(Coffee)
# Result -> id=UUID('550342d5-13ce-4ee1-b73d-d3c5e81607ce') description='string' cream=True sweetener=0 flavor=<Flavor.MOCHA: 1> brand=Brand(brand_name='string')

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lorem-pysum-0.14.11.tar.gz (6.4 kB view hashes)

Uploaded Source

Built Distribution

lorem_pysum-0.14.11-py3-none-any.whl (6.4 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page