datamodel-orm 1.0.0

A fast and efficient way to interact with databases using pydantic models

DataModel ORM

DataModel ORM is a Python library that provides a fast and efficient way to interact with databases using Pydantic models.

Installation

Use the package manager pip to install DataModel.

pip install datamodel_orm

Usage

This example demonstrates how to use the User data model in Python. The User data model is defined using Pydantic and includes fields for id, name, and age.

Setup

First, import the necessary modules and define the User data model.

from typing import Optional
from pydantic import Field
from data_model_orm import DataModel

class User(DataModel):
    id: Optional[int] = Field(json_schema_extra={"primary_key": True}, default=None)
    name: str
    age: int

Creating the Data Source

Create the data source for the User model. If the data source already exists, this operation will be ignored.

User.create_source(ignore_if_exists=True)

Saving a New User

To save a user, instantiate the User class and call the save method.

user = User(name="John", age=30)
user.save()
print(user.id)  # Prints the ID of the newly created user

Retrieving a User

To retrieve a user, use the get_one method and provide the user's name.

user = User.get_one(name="John")

Retrieving All Users with a Specific Name

To retrieve all users with a specific name, use the get_all method and provide the name.

users = User.get_all(name="John")

Deleting a User

To delete a user, call the delete method on a User instance.

user.delete()

Please note that the actual usage may vary depending on the implementation of the DataModel class and the data source.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.