Library to generate instances of Pydantic models.
Project description
Lorem Pysum
Generate instances of Pydantic models.
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
Release history Release notifications | RSS feed
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-1.4.6.tar.gz
(7.0 kB
view hashes)
Built Distribution
Close
Hashes for lorem_pysum-1.4.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0d58f577e96b96b6058554f66bcb8cf1e3e145797a8cd401fd9bdf6731343020 |
|
MD5 | 24fc7fedc5417c2c01c717875768cf30 |
|
BLAKE2b-256 | 954ec67f3f6ed0ee0a537448d27c94c4670c873c5b0dedea25fa13bb16f5d410 |