README.md

django-entangled

Edit JSON-Model Fields using a Standard Django Form.

Use-Case

A Django Model may contain fields which accept arbitrary data stored as JSON. Django itself, provides a JSON field to store arbitrary serializable data.

When creating a form from a model, the input field associated with a JSON field, typically is a <textarea ...></textarea>. This textarea widget is very inpracticable for editing, because it just contains a textual representation of that object notation. One possibility is to use a generic JSON editor, which with some JavaScript, transforms the widget into an attribute-value-pair editor. This approach however requires us to manage the field keys ourselfs. It furthermore prevents us from utilizing all the nice features provided by the Django Form framework, such as field validation, normalization of data and the usage of foreign keys.

By using django-entangled, one can use a Django ModelForm, and store all, or a subset of that form fields in one or more JSON fields inside of the associated model.

Installation

Simply install this Django app, for instance by invoking:

pip install django-entangled

There is no need to add any configuration directives to the project's settings.py.

Example

Say, we have a Django model to describe a bunch of different products. The name and the price fields are common to all products, whereas the properties can vary depending on its product type. Since we don't want to create a different product model for each product type, we use a JSON field to store these arbitrary properties.

from django.db import models

class Product(models.Model):
    name = models.CharField(max_length=50)
    price = models.DecimalField(max_digits=5, decimal_places=2)
    properties = models.JSONField()

In a typical form editing view, we would create a form inheriting from ModelForm and refer to this model using the model attribute in its Meta-class. Then the properties-field would show up as unstructured JSON, rendered inside a <textarea ...></textarea>. This definitely is not what we want! Instead, we create a typical Django Form using the alternative class EntangledModelForm.

from django.contrib.auth import get_user_model
from django.forms import fields, models
from entangled.forms import EntangledModelForm
from .models import Product

class ProductForm(EntangledModelForm):
    color = fields.RegexField(
        regex=r'^#[0-9a-f]{6}$',
    )
    size = fields.ChoiceField(
        choices=[('s', "small"), ('m', "medium"), ('l', "large"), ('xl', "extra large")],
    )
    tenant = models.ModelChoiceField(
        queryset=get_user_model().objects.filter(is_staff=True),
    )

    class Meta:
        model = Product
        entangled_fields = {'properties': ['color', 'size', 'tenant']}  # fields provided by this form
        untangled_fields = ['name', 'price']  # these fields are provided by the Product model

In case our form inherits from another ModelForm, rewrite the class declarartion as:

class ProductForm(EntangledModelFormMixin, BaseProductForm):
    ...

In addition, we add a special dictionary named entangled_fields to our Meta-options. In this dictionary, the key (here 'properties') refers to the JSON-field in our model Product. The value (here ['color', 'size', 'tenant']) is a list of named form fields, declared in our form- or base-class of thereof. This allows us to assign all standard Django form fields to arbitrary JSON fields declared in our Django model. Moreover, we can even use a ModelChoiceField or a ModelMultipleChoiceField to refer to another model object using a generic relation.

Since in this form we also want to access the non-JSON fields from our Django model, we add a list named untangled_fields to our Meta-options. In this list, (here ['name', 'price']) we refer to the non-JSON fields in our model Product. From both of these iterables, entangled_fields and untangled_fields, the parent class EntangledModelForm then builds the Meta-option fields, otherwise required. Alternatively, you can use fields to manage which entangled and untangled fields are shown. If fields is not defined, django-entangled will create it on the fly, based on the keys in entangled_fields and on the listed untangled_fields.

We can use this form in any Django form view. A typical use-case is the built-in Django ModelAdmin:

from django.contrib import admin
from .models import Product
from .forms import ProductForm

@admin.register(Product)
class ProductAdmin(admin.ModelAdmin):
    form = ProductForm

Since the form used by this ModelAdmin-class can not be created dynamically, we have to declare it explicitly using the form-attribute. This is the only change which has to be performed, in order to store arbitrary content inside our JSON model-fields.

Nested Data Structures

Sometimes it can be desirable to store the data in a nested hierarchy of dictionaries, rather than having all attribute-value-pairs in the first level of our JSON field. This can for instance be handy when merging more than one form, all themselves ineriting from EntangledModelFormMixin.

Say that we have different types of products, all of which share the same base product form:

from django.contrib.auth import get_user_model
from django.forms import models
from entangled.forms import EntangledModelFormMixin
from .models import Product

class BaseProductForm(EntangledModelFormMixin):
    tenant = models.ModelChoiceField(
        queryset=get_user_model().objects.filter(is_staff=True),
    )

    class Meta:
        model = Product
        entangled_fields = {'properties': ['tenant']}
        untangled_fields = ['name', 'price']

In order to specialize our base product towards, say clothing, we typically would inherit from the base form and add some additional fields, here color and size:

from django.forms import fields
from .forms import BaseProductForm
from .models import Product

class ClothingProductForm(BaseProductForm):
    color = fields.RegexField(
        regex=r'^#[0-9a-f]{6}$',
    )
    size = fields.ChoiceField(
        choices=[('s', "small"), ('m', "medium"), ('l', "large"), ('xl', "extra large")],
    )

    class Meta:
        model = Product
        entangled_fields = {'properties': ['color', 'size']}
        retangled_fields = {'color': 'variants.color', 'size': 'variants.size'}

By adding a name mapping from our existing field names, we can group the fields color and size into a sub-dictionary named variants inside our properties fields. Such a field mapping is declared through the optional Meta-option retangled_fields. In this dictionary, all entries are optional; if a field name is missing, it just maps to itself.

This mapping table can also be used to map field names to other keys inside the resulting JSON datastructure. This for instance is handy to map fields containg an underscore into field-names containing instead a dash.

Caveats

Due to the nature of JSON, indexing and thus building filters or sorting rules based on the fields content is not as simple, as with standard model fields. Therefore, this approach is best suited, if the main focus is to store data, rather than digging through data.

Foreign keys are stored as "fieldname": {"model": "appname.modelname", "pk": 1234} in our JSON field, meaning that we have no database constraints. If a target object is deleted, that foreign key points to nowhere. Therefore always keep in mind, that we don't have any referential integrity and hence must write our code in a defensive manner.

Contributing to the Project

• Please ask question on the discussion board.
• Ideas for new features shall as well be discussed on that board.
• The issue tracker shall exclusively be used to report bugs.
• Except for very small fixes (typos etc.), do not open a pull request without an issue.
• Before writing code, adopt your IDE to respect the project's .editorconfig.