jsonclasses 2.6.1

The Modern Declarative Data Flow and Data Graph Framework for the AI Empowered Generation.

JSONClasses

The modern declarative data flow and data graph framework for the AI empowered generation.

JSONClasses eliminates the separated and redundant coding of data sanitization, data validation, data format converting and data serialization.

JSONClasses transforms all the redundant procedures into declarative annotations and markers defined right on the dataclasses.

Just like how React.js changed the paradigms of frontend development, JSONClasses aims leading the transforming of the insdustry backend development standards.

How JSONClasses Works?

JSONClasses is built on top of Python dataclasses. With the great metaprogramming functionalities that Python dataclasses offers, we can easily extend it into a great DSL for declaring data structures, transforming rules and validation rules.

Why Not Create Another SDL?

GraphQL's Schema Definition Language cannot work well with programming languages' syntax checking and type completion. To support more and more functions, a DSL would become more and more like a programming language.

This is similar to why React.js embedded HTML into JavaScript/TypeScript and Apple built new Swift language features for SwiftUI.

Why Python Is Chosen?

Python is the programming language which is nearest to AI areas. The era we are living is an era and a generation empowered by AI. AI algorithms empower products with unimaginable stunning features. A great product should adapt to some level of AI to continue providing great functions for it's targeting audience.

Business Logic Examples

Example 1: Dating App Users

Let's say, you are building the base user functionality for a cross-platform dating app.

The product requirements are:

1. Unique phone number is required
2. Password should be secure, encrypted, hidden from response
3. Gender cannot be changed after set
4. This product is adult only
5. User intro should be brief

Let's transform the requirements into code.

from jsonclasses import jsonclass, types

@jsonclass
class User:
  phone_no: str = types.str.unique.index.match(local_phone_no_regex).required #1
  email: str = types.str.match(email_regex)
  password: str = types.str.writeonly.length(8, 16).match(secure_password_regex).transform(salt).required #2
  nickname: str = types.str.required
  gender: str = types.str.writeonce.oneof(['male', 'female']) #3
  age: int = types.int.min(18).max(100) #4
  intro: str = types.str.truncate(500) #5

Look how brief it is to describe our business requirements. JSON Classes has official support for some databases to store data permanently. If you are building a RESTful API, you can integrate JSON Classes with flask or any other web frameworks.

from flask import Blueprint, request, jsonify
from models.article import Article

bp = Blueprint('articles', __name__, url_prefix='/articles')

@bp.get('/')
async def articles(request: Request):
  return jsonify(await User.find())

@bp.get('/<id:string>')
async def user(request, id):
  return jsonify(await User.id(id))

@bp.post('/')
async def create_user(request):
  return jsonify(User(**request.json).save())

@bp.patch('/<id:string>')
async def update_user(request, id):
  return jsonify((await User.id(id)).set(**request.json).save())

@bp.delete('/<id:string>')
async def delete_user(request, id):
  return jsonify((await User.id(id)).delete())

Documentation

Read our documentation on bla bla bla.

Database & Web Framework Integrations

• JSON Classes Pymongo The mongodb integration through pymongo driver.

• JSON Classes Sanic The sanic async web framework integration.

Supported Python Versions

jsonclasses supports Python >= 3.9.0.

License

MIT License

JSON Classes logo is designed by Albert Leung.