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-1.4.7.tar.gz
(7.2 kB
view details)
Built Distribution
File details
Details for the file lorem_pysum-1.4.7.tar.gz
.
File metadata
- Download URL: lorem_pysum-1.4.7.tar.gz
- Upload date:
- Size: 7.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.4 CPython/3.13.0 Linux/6.11.6-300.fc41.x86_64
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 80548bb924f59c2687f43caeb671715d53177be36174bde9b8a316eb085d2a7a |
|
MD5 | 675b692c8ef6470534196162adcd5d5a |
|
BLAKE2b-256 | 40373f3d87f7ef3588a8dbaca0375027117632cd4d65ed336b55c241564a791e |
File details
Details for the file lorem_pysum-1.4.7-py3-none-any.whl
.
File metadata
- Download URL: lorem_pysum-1.4.7-py3-none-any.whl
- Upload date:
- Size: 7.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.4 CPython/3.13.0 Linux/6.11.6-300.fc41.x86_64
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 460274492a9938f21944a7713ba813d2588b26f9657c892fcc32508bdfcc7c80 |
|
MD5 | f644e37307362ae377002ba2493eb8ee |
|
BLAKE2b-256 | b166ae4b352f4b6dd7095dc69dfb22b7782c8ff5a7ba28df88a72dc988159dfb |