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 details)

Uploaded Source

Built Distribution

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

Uploaded Python 3

File details

Details for the file lorem-pysum-0.14.11.tar.gz.

File metadata

  • Download URL: lorem-pysum-0.14.11.tar.gz
  • Upload date:
  • Size: 6.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.12 CPython/3.10.12 Linux/6.4.6-76060406-generic

File hashes

Hashes for lorem-pysum-0.14.11.tar.gz
Algorithm Hash digest
SHA256 d19ff4ab9503ba1ae52ec1d7e811e7ae11c8f7e5d8b81da8118d34f5961669d3
MD5 45610f4c33b319a6906014bb7cd02530
BLAKE2b-256 181a71ad38ee466ae69cce54b4bef90b1f5207e0afdf2c3512a1f2698034e794

See more details on using hashes here.

File details

Details for the file lorem_pysum-0.14.11-py3-none-any.whl.

File metadata

  • Download URL: lorem_pysum-0.14.11-py3-none-any.whl
  • Upload date:
  • Size: 6.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.12 CPython/3.10.12 Linux/6.4.6-76060406-generic

File hashes

Hashes for lorem_pysum-0.14.11-py3-none-any.whl
Algorithm Hash digest
SHA256 e9c5dfbbe9e68d29808a9b04a95226dc595684c5bd8ff5edc45d355d99419f30
MD5 f72f5f2168710e1d090317d65fe6df60
BLAKE2b-256 59f55981f2deb68624a8ed272078cbe53dd454d82b323163a70c1da8af82b1d5

See more details on using hashes here.

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