DRF-EXTRA-FIELDS
Extra Fields for Django Rest Framework
Latest Changes
- v3.5.0
- Development environment fixes & improvements.
- Since
Python 3.6
support is ended, the codebase is refactored/modernized forPython 3.7
. WebP
is added to defaultALLOWED_TYPES
of theBase64ImageField
.- Deprecated
imghdr
library is replaced withfiletype
. - Unintended
Pillow
dependency is removed.
- v3.4.0
⚠️ BACKWARD INCOMPATIBLE⚠️ - Support for
Django 3.0
andDjango 3.1
is ended.
- Support for
Django 4.0
is now supported.
- v3.3.0
⚠️ BACKWARD INCOMPATIBLE⚠️ - Support for
Python 3.6
is ended.
- Support for
- v3.2.1
- A typo in the
python_requires
argument ofsetup.py
that prevents installation forPython 3.6
is fixed.
- A typo in the
- v3.2.0
⚠️ BACKWARD INCOMPATIBLE⚠️ - Support for
Python 3.5
is ended.
- Support for
Python 3.9
andPython 3.10
are now supported.Django 3.2
is now supported.
- v3.1.1
psycopg2
dependency is made optional.
- v3.1.0
- Possible Breaking Change:
- In this version we have changed file class used in
Base64FileField
fromContentFile
toSimpleUploadedFile
(you may see the change here).
- In this version we have changed file class used in
child_attrs
property is added to RangeFields.
- Possible Breaking Change:
Usage
Install the package
pip install drf-extra-fields
Note:
- This package renamed as "drf-extra-fields", earlier it was named as django-extra-fields.
- Install version 0.1 for Django Rest Framework 2.*
- Install version 0.3 or greater for Django Rest Framework 3.*
Fields:
Base64ImageField
An image representation for Base64ImageField
Inherited from ImageField
Signature: Base64ImageField()
- It takes a base64 image as a string.
- A base64 image:
data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
- Base64ImageField accepts the entire string or just the part after base64,
R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
- It takes the optional parameter
represent_in_base64
(False
by default), if set toTrue
it will allow for base64-encoded downloads of anImageField
. - You can inherit the
Base64ImageField
class and set allowed extensions (ALLOWED_TYPES
list), or customize the validation messages (INVALID_FILE_MESSAGE
,INVALID_TYPE_MESSAGE
)
Example:
# serializer
from drf_extra_fields.fields import Base64ImageField
class UploadedBase64ImageSerializer(serializers.Serializer):
file = Base64ImageField(required=False)
created = serializers.DateTimeField()
# use the serializer
file = 'R0lGODlhAQABAIAAAP///////yH5BAEKAAEALAAAAAABAAEAAAICTAEAOw=='
serializer = UploadedBase64ImageSerializer(data={'created': now, 'file': file})
Base64FileField
A file representation for Base64FileField
Inherited from FileField
Signature: Base64FileField()
- It takes a base64 file as a string.
- Other options like for
Base64ImageField
- You have to provide your own full implementation of this class. You have to implement file validation in
get_file_extension
method and setALLOWED_TYPES
list.
Example:
class PDFBase64File(Base64FileField):
ALLOWED_TYPES = ['pdf']
def get_file_extension(self, filename, decoded_file):
try:
PyPDF2.PdfFileReader(io.BytesIO(decoded_file))
except PyPDF2.utils.PdfReadError as e:
logger.warning(e)
else:
return 'pdf'
PointField
Point field for GeoDjango
Signature: PointField()
-
It takes a dictionary contains latitude and longitude keys like below
{ "latitude": 49.8782482189424, "longitude": 24.452545489 }
-
It takes the optional parameter
str_points
(False by default), if set to True it serializes the longitude/latitude values as strings -
It takes the optional parameter
srid
(None by default), if set the Point created object will have its srid attribute set to the same value.
Example:
# serializer
from drf_extra_fields.geo_fields import PointField
class PointFieldSerializer(serializers.Serializer):
point = PointField(required=False)
created = serializers.DateTimeField()
# use the serializer
point = {
"latitude": 49.8782482189424,
"longitude": 24.452545489
}
serializer = PointFieldSerializer(data={'created': now, 'point': point})
RangeField
The Range Fields map to Django's PostgreSQL specific Range Fields.
Each accepts an optional parameter child_attrs
, which allows passing parameters to the child field.
For example, calling IntegerRangeField(child_attrs={"allow_null": True})
allows deserializing data with a null value for lower
and/or upper
:
from rest_framework import serializers
from drf_extra_fields.fields import IntegerRangeField
class RangeSerializer(serializers.Serializer):
ranges = IntegerRangeField(child_attrs={"allow_null": True})
serializer = RangeSerializer(data={'ranges': {'lower': 0, 'upper': None}})
IntegerRangeField
from rest_framework import serializers
from drf_extra_fields.fields import IntegerRangeField
class RangeSerializer(serializers.Serializer):
ranges = IntegerRangeField()
serializer = RangeSerializer(data={'ranges': {'lower': 0, 'upper': 1}})
FloatRangeField
from rest_framework import serializers
from drf_extra_fields.fields import FloatRangeField
class RangeSerializer(serializers.Serializer):
ranges = FloatRangeField()
serializer = RangeSerializer(data={'ranges': {'lower': 0., 'upper': 1.}})
DecimalRangeField
from rest_framework import serializers
from drf_extra_fields.fields import DecimalRangeField
class RangeSerializer(serializers.Serializer):
ranges = DecimalRangeField()
serializer = RangeSerializer(data={'ranges': {'lower': 0., 'upper': 1.}}, )
DateRangeField
import datetime
from rest_framework import serializers
from drf_extra_fields.fields import DateRangeField
class RangeSerializer(serializers.Serializer):
ranges = DateRangeField()
serializer = RangeSerializer(data={'ranges': {'lower': datetime.date(2015, 1, 1), 'upper': datetime.date(2015, 2, 1)}})
DateTimeRangeField
import datetime
from rest_framework import serializers
from drf_extra_fields.fields import DateTimeRangeField
class RangeSerializer(serializers.Serializer):
ranges = DateTimeRangeField()
serializer = RangeSerializer(data={'ranges': {'lower': datetime.datetime(2015, 1, 1, 0), 'upper': datetime.datetime(2015, 2, 1, 0)}})
PresentablePrimaryKeyRelatedField
Represents related object with a serializer.
presentation_serializer
could also be a string that represents a dotted path of a serializer, this is useful when you want to represent a related field with the same serializer.
from drf_extra_fields.relations import PresentablePrimaryKeyRelatedField
class UserSerializer(serializers.ModelSerializer):
class Meta:
model = User
fields = (
'id',
"username",
)
class PostSerializer(serializers.ModelSerializer):
user = PresentablePrimaryKeyRelatedField(
queryset=User.objects.all(),
presentation_serializer=UserSerializer,
presentation_serializer_kwargs={
'example': [
'of',
'passing',
'kwargs',
'to',
'serializer',
]
},
read_source=None
)
class Meta:
model = Post
fields = (
"id",
"title",
"user",
)
Serializer data:
{
"user": 1,
"title": "test"
}
Serialized data with PrimaryKeyRelatedField:
{
"id":1,
"user": 1,
"title": "test"
}
Serialized data with PresentablePrimaryKeyRelatedField:
{
"id":1,
"user": {
"id": 1,
"username": "test"
},
"title": "test"
}
PresentableSlugRelatedField
Represents related object retrieved using slug with a serializer.
from drf_extra_fields.relations import PresentableSlugRelatedField
class CategorySerializer(serializers.ModelSerializer):
class Meta:
model = Category
fields = (
"id",
"slug",
"name"
)
class ProductSerializer(serializers.ModelSerializer):
category = PresentableSlugRelatedField(
slug_field="slug",
queryset=Category.objects.all(),
presentation_serializer=CategorySerializer,
presentation_serializer_kwargs={
'example': [
'of',
'passing',
'kwargs',
'to',
'serializer',
]
},
read_source=None
)
class Meta:
model = Product
fields = (
"id",
"name",
"category",
)
Serializer data:
{
"category": "vegetables",
"name": "Tomato"
}
Serialized data with SlugRelatedField:
{
"id": 1,
"name": "Tomato",
"category": "vegetables"
}
Serialized data with PresentableSlugRelatedField:
{
"id": 1,
"name": "Tomato",
"category": {
"id": 1,
"slug": "vegetables",
"name": "Vegetables"
}
}
read_source parameter
This parameter allows you to use different source
for read operations and doesn't change field name for write operations. This is only used while representing the data.
HybridImageField
A django-rest-framework field for handling image-uploads through raw post data, with a fallback to multipart form data.
It first tries Base64ImageField. if it fails then tries ImageField.
from rest_framework import serializers
from drf_extra_fields.fields import HybridImageField
class HybridImageSerializer(serializers.Serializer):
image = HybridImageField()
drf-yasg fix for BASE64 Fields:
The drf-yasg project seems to generate wrong documentation on Base64ImageField or Base64FileField. It marks those fields as readonly. Here is the workaround code for correct the generated document. (More detail on issue #66)
class PDFBase64FileField(Base64FileField):
ALLOWED_TYPES = ['pdf']
class Meta:
swagger_schema_fields = {
'type': 'string',
'title': 'File Content',
'description': 'Content of the file base64 encoded',
'read_only': False # <-- FIX
}
def get_file_extension(self, filename, decoded_file):
try:
PyPDF2.PdfFileReader(io.BytesIO(decoded_file))
except PyPDF2.utils.PdfReadError as e:
logger.warning(e)
else:
return 'pdf'
LowercaseEmailField
An enhancement over django-rest-framework's EmailField to allow case-insensitive serialization and deserialization of e-mail addresses.
from rest_framework import serializers
from drf_extra_fields.fields import LowercaseEmailField
class EmailSerializer(serializers.Serializer):
email = LowercaseEmailField()
CONTRIBUTION
TESTS
- Make sure that you add the test for contributed field to test/test_fields.py and run with command before sending a pull request:
$ pip install tox # if not already installed
$ tox
Or, if you prefer using Docker (recommended):
tools/run_development.sh
tox
README
- Make sure that you add the documentation for the field added to README.md
LICENSE
Copyright DRF EXTRA FIELDS HIPO
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.