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Package provides utilities for managing fixture data python applications. It offers a convenient way to populate database tables with predefined data.

Project description

Masonite Fixtures

The masonite-fixtures package provides utilities for managing fixture data in python applications. It offers a convenient way to populate database tables with predefined data.

Installation

You can install masonite-fixtures via pip:

pip install masonite-fixtures

Features

  • Initialize fixture data for database tables effortlessly.
  • Automatically create database tables based on the schema of the fixture model.
  • Populate database tables with data defined in the fixture model using either get_rows method or rows property.
  • Enable query logging for debugging and monitoring database interactions.

Usage

To use the masonite-fixtures package, follow these steps:

  1. Import your model class that implements the FixtureMixin.
  2. Mix the FixtureMixin into your model class.

That's it. 3. Optionally, set the __log_queries__ attribute to True to enable query logging.

Example:

from typing import Any
from masoniteorm.models import Model
from masonite_fixtures import FixtureMixin


# Example using get_rows method:
class User(Model, FixtureMixin):
    def get_rows(self) -> list[dict[str, Any]]:
        return [
            {"name": "John", "age": 30},
            {"name": "Alice", "age": 25},
            # Add more rows as needed
        ]
    
# Example using rows attribute:
class User(Model, FixtureMixin):
    rows: list[dict[str, Any]] = [
            {"name": "John", "age": 30},
            {"name": "Alice", "age": 25},
            # Add more rows as needed
        ]    

Thats it. You can now use the model as you would any other masoniteorm model.

Important

If the number of rows defined in the rows attribute or get_rows property of the fixture model class exceeds the number of rows stored in the actual database cache for the fixture, the fixture will reset the database table and reseed the fixture data.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Project details


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