Data-Modeling for User Interfaces
Project description
- Powered by Python 3 Data Classes.
- Objects optimized for user interfaces.
- Methods to traverse nested dicts, convert to and from json
- ModelList and ModelSet collections for robust manipulation of collections of models.
- No I/O happens in models.
- Collections can be easily cached to leverage responsive user interfaces.
Installation
pip install uiclasses
Basic Usage
from uiclasses import Model class BlogPost(Model): id: int title: str body: str post1 = BlogPost({"id": 1, "title": "title 1", "body": "body 1", "wimsical_extra_field": "lala land"}) post2 = BlogPost(id=2, title="title 2", body="body 2", extradata='stored but invisible') published = BlogPost.List([post1, post2]) print(published.format_pretty_table())
print(published.format_robust_table())
Notes:
- This is not designed to be fast, when adding data to models their types might cast and validated, which is costly. - filtering collections by string values cause glob match
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
uiclasses-2.4.0.tar.gz
(16.6 kB
view hashes)