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 uiclassesBasic 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
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