congers 0.1.0

A Lightweight data model management for Python

Conger

Lightweight data model management for Python ecosystem.

Specifically, conger provides a management interface for easy previewing, editing, and storing data models (defined by pydantic or dataclass).

Install

If you using rye (recommended), you can install conger as a dependency of your project:

rye add conger

or pip:

python -m pip install conger

Quick Start

1. Define your data model (e.g. Person):

from conger import BaseModel, Field

class Person(BaseModel):
    name: str
    age: int = Field(..., gt=18, lt=100)

2. Add this data model to flask app:

from flask import Flask
import pickledb
from conger import Conger

app = Flask(__name__)
db = pickledb.load("db.json", True)
conger = Conger(app, database=db)

"""
your data model
"""

conger.add_model(Person)


if __name__ == "__main__":
    app.run()

3. visit http://127.0.0.1:500/conger/

LICENSE MIT