django-json-schema-editor 0.4.0

Django widget for using @json-editor/json-editor in the admin

Django JSON Schema Editor

A powerful Django widget for integrating @json-editor/json-editor with Django forms and admin interfaces. It provides a rich, schema-based editing experience for JSON data in Django applications.

See the blog post for the announcement and a screenshot.

Features

• Schema-based validation for JSON data
• Django admin integration
• Rich text editing capabilities with optional prose editor
• Foreign key references with Django admin lookups
• Referential integrity for JSON data containing model references

Installation

pip install django-json-schema-editor

For django-prose-editor support (rich text editing):

pip install django-json-schema-editor[prose]

Usage

Basic Setup

1. Add django_json_schema_editor to your INSTALLED_APPS:

INSTALLED_APPS = [
    # ...
    'django_json_schema_editor',
    # ...
]

2. Use the JSONField in your models:

from django.db import models
from django_json_schema_editor.fields import JSONField

class MyModel(models.Model):
    data = JSONField(
        schema={
            "type": "object",
            "properties": {
                "title": {"type": "string"},
                "description": {"type": "string"},
                "count": {"type": "integer"},
            },
        }
    )

Rich Text Editing

For rich text editing, use the prose format:

class MyModel(models.Model):
    data = JSONField(
        schema={
            "type": "object",
            "properties": {
                "title": {"type": "string"},
                "content": {"type": "string", "format": "prose"},
            },
        }
    )

Foreign Key References

You can reference Django models in your JSON data:

class MyModel(models.Model):
    data = JSONField(
        schema={
            "type": "object",
            "properties": {
                "title": {"type": "string"},
                "image": {
                    "type": "string",
                    "format": "foreign_key",
                    "options": {
                        "url": "/admin/myapp/image/?_popup=1&_to_field=id",
                    },
                },
            },
        }
    )

Data References and Referential Integrity

One of the most powerful features is the ability to maintain referential integrity between JSON data and model instances:

from django.db import models
from django_json_schema_editor.fields import JSONField

class Image(models.Model):
    title = models.CharField(max_length=100)
    file = models.FileField(upload_to='images/')

class Article(models.Model):
    data = JSONField(
        schema={
            "type": "object",
            "properties": {
                "title": {"type": "string"},
                "content": {"type": "string", "format": "prose"},
                "featured_image": {
                    "type": "string",
                    "format": "foreign_key",
                    "options": {
                        "url": "/admin/myapp/image/?_popup=1&_to_field=id",
                    },
                },
            },
        }
    )

def get_image_ids(article):
    if image_id := article.data.get("featured_image"):
        return [int(image_id)]
    return []

# Register the reference to prevent images from being deleted when they're referenced
Article.register_data_reference(
    Image,
    name="featured_images",
    getter=get_image_ids,
)

This prevents a referenced image from being deleted as long as it's referenced in an article's JSON data.

The name field will be the name of the underlying ManyToManyField which actually references the Image instances.

JSON Schema Support

The widget supports the JSON Schema standard for defining the structure and validation rules of your JSON data. Notable supported features include:

• Basic types: string, number, integer, boolean, array, object
• Format validations: date, time, email, etc.
• Custom formats: prose (rich text), foreign_key (model references)
• Required properties
• Enums and default values
• Nested objects and arrays

The documentation for the json-editor offers a good overview over all supported features.

Development

To set up the development environment:

1. Clone the repository
2. Install development dependencies:

pip install -e ".[tests,prose]"

Code Quality

This project uses several tools to maintain code quality:

• pre-commit: We use pre-commit hooks to ensure consistent code style and quality
• ruff: For Python linting and formatting
• biome: For JavaScript and CSS linting and formatting

To set up pre-commit:

uv tool install pre-commit
pre-commit install

The pre-commit configuration includes:

• Basic file checks (trailing whitespace, merge conflicts, etc.)
• Django upgrade checks
• Ruff for Python linting and formatting
• Biome for JavaScript and CSS linting and formatting
• pyproject.toml validations

Running Tests

pytest

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License.