Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/Mng-dev-ai/drf-turbo

An alternative serializer implementation for REST framework written in cython built for speed.
https://github.com/Mng-dev-ai/drf-turbo

cython django django-rest-framework performance python

Last synced: 7 days ago
JSON representation

An alternative serializer implementation for REST framework written in cython built for speed.

Awesome Lists containing this project

README

        

=========
drf-turbo
=========

.. image:: https://img.shields.io/pypi/v/drf-turbo.svg
:target: https://pypi.python.org/pypi/drf-turbo
:alt: Version

.. image:: https://readthedocs.org/projects/drf-turbo/badge/?version=latest
:target: https://drf-turbo.readthedocs.io/en/latest/?version=latest
:alt: Documentation Status

.. image:: https://static.pepy.tech/personalized-badge/drf-turbo?period=total&units=international_system&left_color=black&right_color=green&left_text=Downloads
:target: https://pepy.tech/project/drf-turbo/
:alt: Downloads

Overview
------------
drf-turbo is a drop-in serializer for Django REST Framework (DRF). drf-turbo serializers run around 7.75 times faster
than what what you get from DRF's packaged serializer.

Requirements
------------

* Django

* Django REST Framework

* pytz

* forbiddenfruit

* pyyaml(OpenAPI)

* uritemplate(OpenAPI)

* djangorestframework-simplejwt(OpenAPI)

Installation
------------

.. code-block:: console

$ pip install drf-turbo

To install Cython on MacOS `via Brew `_:

.. code-block:: console

$ brew install cython

Performance
-----------
`drf-turbo` serialization, deserialization and validation performance averages 86% faster than DRF's standard serializer.

For more details, visit the `benchmarks section `_ of the docs.

Documentation & Support
-----------------------
Documentation for the project is available at https://drf-turbo.readthedocs.io.

For questions and support, use github issues

Examples
========

Declaring Serializers
---------------------
.. code-block:: python

from datetime import datetime
from django.utils.timezone import now
import drf_turbo as dt

class User:
def __init__(self, username, email,created=None):
self.username = username
self.email = email
self.created = created or datetime.now()

user = User(username='test' , email='[email protected]')

class UserSerializer(dt.Serializer):
username = dt.StrField(max_length=50)
email = dt.EmailField()
created = dt.DateTimeField()

Serializing objects
-------------------

.. code-block:: python

serializer = UserSerializer(user)
serializer.data

# {'username': 'test', 'email': '[email protected]', 'created': '2021-11-04T22:49:01.981127Z'}

Deserializing objects
---------------------

.. code-block:: python

data = {'username':'new_test','email':'[email protected]','created':now()}
serializer = UserSerializer(data=data)
serializer.is_valid()
# True
serializer.validated_data
# {'username': 'new_test', 'email': '[email protected]', 'created': datetime.datetime(2021, 11, 12, 6, 10, 44, 85118)}}

Validation
----------

.. code-block:: python

serializer = UserSerializer(data={'email': 'test'})
serializer.is_valid()
# False
serializer.errors
# {'username': ['This field is required.'], 'email': ['Enter a valid email address.'],'created': ['This field is required.']}

Field-level validation
----------------------

.. code-block:: python

import drf_turbo as dt

class UserSerializer(dt.Serializer):
username = dt.StrField(max_length=50)

def validate_username(self, value):
if 'test' not in value.lower():
raise dt.ValidationError("test must be in username")
return value

Object-level validation
-----------------------

.. code-block:: python

import drf_turbo as dt

class CampaignSerializer(dt.Serializer):
start_date = dt.DateTimeField()
end_date = dt.DateTimeField()

def validate(self, data):
if data['start_date'] > data['end_date']:
raise dt.ValidationError("start_date must occur before end_date")
return data

Nested Serializers
------------------
.. code-block:: python

from datetime import datetime
from django.utils.timezone import now
import drf_turbo as dt

class User:
def __init__(self, username, email,created=None):
self.username = username
self.email = email
self.created = created or datetime.now()

user = User(username='test' , email='[email protected]')

class UserSerializer(dt.Serializer):
username = dt.StrField(max_length=50)
email = dt.EmailField()
created = dt.DateTimeField()

class Profile :
def __init__(self, age=25):
self.age = age
self.user = user

profile = Profile()

class ProfileSerializer(dt.Serializer):
age = dt.IntField()
user = UserSerializer()

serializer = ProfileSerializer(profile)
serializer.data

# {'age' : 25 , 'user' : {'username': 'test', 'email': '[email protected]', 'created': '2021-11-04T22:49:01.981127Z'}}

Filtering Output
----------------

drf-turbo provides option to enclude or exclude fields from serializer using ``only`` or ``exclude`` keywords.

.. code-block:: python

serializer = UserSerializer(user,only=('id','username'))

or

serializer = ProfileSerializer(profile,exclude=('id','user__email'))

or

http://127.0.0.1:8000/user/?only=id,username

Required Fields
---------------

Make a field required by passing required=True. An error will be raised if the the value is missing from data during Deserializing.

For example:

.. code-block:: python

class UserSerializer(dt.Serializer):

username = dt.StrField(required=True,error_messages={"required":"no username"})

Specifying Defaults
-------------------

It will be used for the field if no input value is supplied.

For example:

.. code-block:: python

from datetime import datetime

class UserSerializer(dt.Serializer):

birthdate = dt.DateTimeField(default=datetime(2021, 11, 05))

ModelSerializer
---------------

Mapping serializer to Django model definitions.

Features :

* It will automatically generate a set of fields for you, based on the model.
* It will automatically generate validators for the serializer.
* It includes simple default implementations of .create() and .update().

.. code-block:: python

class UserSerializer(dt.ModelSerializer):

class Meta :
model = User
fields = ('id','username','email')

You can also set the fields attribute to the special value ``__all__`` to indicate that all fields in the model should be used.

For example:

.. code-block:: python

class UserSerializer(dt.ModelSerializer):

class Meta :
model = User
fields = '__all__'

You can set the exclude attribute to a list of fields to be excluded from the serializer.

For example:

.. code-block:: python

class UserSerializer(dt.ModelSerializer):

class Meta :
model = User
exclude = ('email',)

Read&Write only fields
----------------------

.. code-block:: python

class UserSerializer(dt.ModelSerializer):
class Meta:
model = User
fields = ('id', 'username', 'password','password_confirmation')
read_only_fields = ('username')
write_only_fields = ('password','password_confirmation')

OpenApi(Swagger)
----------------

Add drf-turbo to installed apps in ``settings.py``

.. code:: python

INSTALLED_APPS = [
# ALL YOUR APPS
'drf_turbo',
]

and then register our openapi AutoSchema with DRF.

.. code:: python

REST_FRAMEWORK = {
# YOUR SETTINGS
'DEFAULT_SCHEMA_CLASS': 'drf_turbo.openapi.AutoSchema',
}

and finally add these lines in ``urls.py``

.. code:: python

from django.views.generic import TemplateView
from rest_framework.schemas import get_schema_view as schema_view
from drf_turbo.openapi import SchemaGenerator

urlpatterns = [
# YOUR PATTERNS
path('openapi', schema_view(
title="Your Project",
description="API for all things …",
version="1.0.0",
generator_class=SchemaGenerator,
public=True,
), name='openapi-schema'),
path('docs/', TemplateView.as_view(
template_name='docs.html',
extra_context={'schema_url':'openapi-schema'}
), name='swagger-ui'),
]

Now go to http://127.0.0.1:8000/docs

Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage

License
------------
* Free software: MIT license