Django REST Framework plugin that creates form schemas for react-jsonschema-form
Project description
Django Rest Framework React Template Framework
Django Rest Framework React Template Framework is a Python package that plugs into Django Rest Framework to generate json schemas for react-jsonschema-form. The concept is similar to the DRF HTMLFormRenderer, but specifically designed for React frontends.
Installation
pip install drf-react-template-framework
Quick Start
See /example
for a complete simple example.
serializers.py
:
from rest_framework import serializers
class ChoiceSerializer(serializers.ModelSerializer):
choice_text = serializers.CharField()
votes = serializers.IntegerField()
class Meta:
fields = ('choice_text', 'votes')
viewsets.py
:
from rest_framework.mixins import RetrieveModelMixin
from drf_react_template.mixins import FormSchemaViewSetMixin
class ChoiceViewSet(
RetrieveModelMixin,
FormSchemaViewSetMixin,
):
queryset = models.Choice.objects.all()
serializer_class = serializers.ChoiceSerializer
Now when the retrieve endpoint is called, FormSchemaViewSetMixin
will update the response
to include a serializer
object in the json, while the original payload is sorted in formData
.
Inside the serializer
object, two fields schema
and uiSchema
contain the objects which
can be used inside react-jsonschema-form
.
Documentation
While the above quick start is useful for super simple cases, the framework has a large number of additional parameters which can be used to customize behaviour.
Viewset
All viewsets must inherit from drf_react_template.mixins.FormSchemaViewSetMixin
.
This class inherits from the
DRF GenericViewSet
,
while additionally providing custom finialize response functionality
and the additional endpoint:
GET */create/
>> {'serializer': ..., 'formData': {}}
Which can be used to generate an empty form for create.
The only other specific customization that can be applied in the viewset is different
serializers for different endpoints. For example, update
actions often show a subset of fields;
as such it is possible to override get_serializer_class
to return the specific form required.
For example:
# serializers.py
class ChoiceSerializer(serializers.ModelSerializer):
choice_text = serializers.CharField()
votes = serializers.IntegerField()
class Meta:
fields = ('choice_text', 'votes')
class ChoiceUpdateSerializer(serializers.ModelSerializer):
choice_text = serializers.CharField()
class Meta:
fields = ('choice_text',)
# viewsets.py
def get_serializer_class(self):
if self.action == 'update':
return ChoiceUpdateSerializer
return ChoiceSerializer
Since this having a separate list
serializer is so common, the above can be avoided by using
the serializer_list_class
class attribute provided by FormSchemaViewSetMixin
.
Serializer
The majority of the customization will occur inside serializer classes;
a real world example will often require custom create
, update
, to_representation
, etc methods.
At the class level the serializer defines the form name:
ChoiceSerializer -> Choice
QuestionAndChoiceSerializer -> Question And Choice
Choice -> Choice
If a different title is required (or no title for nested forms), then the __init__
method can be updated:
def __init__(self, *args, **kwargs):
kwargs['label'] = 'New Form Title'
super().__init__(*args, **kwargs)
Serializer Field Attributes
The following is a list of parameters that can be added to individual fields which modifies
react-jsonschema-form
functionality on the front-end.
Label
Updates the form input title text. Can also be used to provide translations.
choice_text = serializers.CharField(label='What is the choice label?')
The label can also be disabled completely via style
:
choice_text = serializers.CharField(style={'ui:options': {'label': False}})
Note: This does not work for list
actions.
Read Only
Setting read_only=True
forces the encoder to skip it when building the form,
but still means the value gets sent in the formData
:
choice_text = serializers.CharField(read_only=True)
This is useful for custom widgets which rely on data not related to the form (e.g. id
).
Required
Setting required=False
removes frontend validation of the field:
choice_text = serializers.CharField(required=False)
Note: This has no effect on list
actions.
Allow Null
Setting allow_null=True
allows null
values to be sent back in formData
:
choice_text = serializers.CharField(allow_null=True)
Note: This has no effect on list
actions.
Default
By setting a default value, a field is automatically set to required=False
.
The formData
object will also contain the default
value if it is not provided one.
choice_text = serializers.CharField(default='example text')
Note: This has no effect on list
actions.
Validation Mapping
Built-in validators are automatically added to the schema. For instance:
char_text = serializers.CharField(min_length=5, max_length=10)
Will result in the following schema portion:
{
"type": "string",
"title": "Char text",
"maxLength": 10,
"minLength": 5
}
The following core validators have mapping to json schema (https://ajv.js.org/json-schema.html):
- MaxLengthValidator: maxLength
- MinLengthValidator: minLength
- MaxValueValidator: maximum
- MinValueValidator: minimum
- RegexValidator: pattern
Custom validators can not be mapped directly to Ajv schema properies so they are rather provided in the json ui schema as hints.
class MinSizeImageValidator:
message = _('Image is too small, must be 1KB minimum.')
code = 'image_min_1KB'
def __call__(self, value):
min_size = 1024 # 1KB
if value.size < min_size:
raise serializers.ValidationError(self.message, code=self.code)
image_field = serializers.ImageField(
required=True, validators=[MinSizeImageValidator]
)
Will result in the following ui schema portion:
{
"ui:widget": "file",
"ui:custom-validators": [
{"code": "image_min_1KB", "message": "Image is too small, must be 1KB minimum."}
]
}
Style
The DRF style
parameter is a dict
and is therefore used for a number of different parameters.
There are a number of options
that react-jsonschema-form
provides, many of which should work out-of-the-box,
although not all options will have been tested.
Since style params are applied last, they can overwrite other keys. Additionally, any key not
starting with schema:
will be sent in the json
payload, so this can be a good place to send
additional attributes for custom widgets.
The following are a list of valid (tested) keys and their uses.
Note: This can also be done at the serializer level:
def __init__(self, *args, **kwargs):
kwargs['style'] = {'ui:template': 'Card'}
super().__init__(*args, **kwargs)
Dependencies
react-jsonschema-form
allows for the use of dependencies
between multiple fields. This library has analogues for the four types (bidirectional, unidirectional, conditional, and
dynamic).
# Unidirectional
choice_text = serializers.CharField(
style={'schema:dependencies:simple': ['votes']}
)
# Bidirectional - note the different value styles, either is fine.
choice_text = serializers.CharField(
style={'schema:dependencies:simple': ['votes']}
)
votes = serializers.IntegerField(
default=0, style={'schema:dependencies:simple': 'choice_text'}
)
# Conditional
choice_text = serializers.CharField(
style={'schema:dependencies:conditional': ['votes']}
)
# Dynamic - must be an enum field, and only one choice per dependency,
# multiple choices can have the same dependencies (side-stepping this issue).
choice_text = serializers.ChoiceField(
choices=(('yes', 'Yes'), ('no', 'No')),
style={'schema:dependencies:dynamic': {'yes': ['votes'], 'no': None}}
)
Field Overrides
Since this framework doesn't cover 100% of the features of the react-jsonschema-form
, it is possible to provide
dict
objects which override the individual field properties:
choice_text = serializers.CharField(
style={
'schema:override': {'type': 'string', 'title': 'Overridden title'},
'uiSchema:override': {'ui:widget': 'updown'},
'column:override': {
'title': 'Overridden title',
'dataIndex': 'question_text',
'key': 'question_text',
},
'schema:dependencies:override': ['votes']
}
)
Note: There is no validation around these overrides, so it is left up to the developer to ensure the resulting
schema is valid. For example, 'schema:dependencies:override'
will not remove fields from the main 'properties'
or
'required'
objects. (This can be done by omitting the dependant field from the serializer or using read_only=True
).
List Sort Order
Sends the defaultSortOrder
key with the list
action serializer:
choice_text = serializers.CharField(, style={'schema:sort': 'ascend'})
Widget, Type, and Enum
While the framework tries to provide sensible defaults for DRF fields, sometimes custom frontend widgets need to provide custom behaviour.
choice_text = serializers.CharField(style={
'ui:widget': 'textarea',
'schema:type': 'string',
'schema:enum': 'choices'
})
More information can be found on
types
and enum
.
enum
can also be set to the string
choices
(as in the example),
to try and use the field.choices
attribute.
Placeholder
The HTML placeholder text can be updated in the following way:
choice_text = serializers.CharField(style={'ui:placeholder': 'This a placeholder value'})
Text Area Widget Rows
When the ui:widget
is set to textarea
(see above), the rows
can be set via:
choice_text = serializers.CharField(style={
'ui:widget': 'textarea',
'ui:options': {'rows': 8},
})
Disabled
An input field can be disabled
in the following way:
choice_text = serializers.CharField(style={'ui:disabled': 'true'})
Settings
DRF_REACT_TEMPLATE_TYPE_MAP
Allows for custom fields to be added to ProcessingMixin.TYPE_MAP
in this way:
DRF_REACT_TEMPLATE_TYPE_MAP = {
'ImageField': {'type': 'image', 'widget': 'file'},
}
The default supported field types are:
{
'CharField': {'type': 'string'},
'IntegerField': {'type': 'integer', 'widget': 'updown'},
'FloatField': {'type': 'number', 'widget': 'updown'},
'DecimalField': {'type': 'number', 'widget': 'updown'},
'BooleanField': {'type': 'boolean'},
'DateTimeField': {'type': 'string', 'widget': 'date-time'},
'DateField': {'type': 'string', 'widget': 'date'},
'URLField': {'type': 'string', 'widget': 'uri'},
'ChoiceField': {'type': 'string', 'enum': 'choices'},
'EmailField': {'type': 'string', 'widget': 'email'},
'ListField': {'type': 'array'},
}
Development
This Repo uses Poetry, and setup for development is as simple as follows:
poetry init
pre-commit install
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