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drf-elasticsearch-dsl
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.. image:: https://badge.fury.io/py/drf-elasticsearch-dsl.svg :target: https://badge.fury.io/py/drf-elasticsearch-dsl
.. image:: https://circleci.com/gh/ajbeach2/drf-elasticsearch-dsl.svg?style=svg :target: https://circleci.com/gh/ajbeach2/drf-elasticsearch-dsl
.. image:: https://codecov.io/gh/ajbeach2/drf-elasticsearch-dsl/branch/master/graph/badge.svg :target: https://codecov.io/gh/ajbeach2/drf-elasticsearch-dsl
DRF Elasticsearch DSL is losely based on django-haystack
_ and provides a ModelSerializerDocument
which supports all of the field types provided by elastic-search-dsl persistence
_.. ModelSerializerDocument
is losely based on the DocType
class provided by elasticsearch-dsl.py
The purpose of this libraray is to allow definition of elasticsearch documents with DRF's ModelSerializer
_ class while optionally providing support for async document updates and deletes with celery
_.
The full documentation is at https://drf-elasticsearch-dsl.readthedocs.io.
Install Django Package::
pip install drf-elasticsearch-dsl
Add it to your INSTALLED_APPS
:
.. code-block:: python
INSTALLED_APPS = (
...
'drf_elasticsearch_dsl.apps.DrfElasticsearchDsl',
...
)
Configure DRF_SERIALIZER_ELASTICSERACH_SETTTINGS in your settings.py file with your elasticsearch url(s)
.. code-block:: python
DRF_SERIALIZER_ELASTICSERACH_SETTTINGS = {
'elasticsearch_hosts': ['localhost']
}
Create a Model
.. code-block:: python
from django.db import models
class Contact(models.Model):
first_name = models.CharField(max_length=32, null=False, blank=False)
last_name = models.CharField(max_length=32, null=False, blank=False)
url = models.URLField(null=False, blank=False)
email = models.EmailField(max_length=254, null=False, blank=False)
bio = models.TextField(null=False, blank=False)
birthday = models.DateField(null=False, blank=False)
Create a ModelSerializer
.. code-block:: python
from rest_framework import serializers
class ContactSerializer(serializers.ModelSerializer):
class Meta:
model = Contact
fields = '__all__'
Create a search_indexes.py
, which should be in the root of the application. Add your ModelSerializerDocument
classes here. The specificed index will have its mapping updated for this document.
.. code-block:: python
from drf_elasticsearch_dsl.documents import ModelSerializerDocument
from elasticsearch_dsl import Date, Keyword, Text, String
from .serialziers import ContactSerializer
class ContactSerializerDocument(ModelSerializerDocument):
first_name = String()
last_name = String()
url = Keyword()
email = Keyword()
bio = Text()
birthday = Date()
class Meta:
index = 'myapp'
serializer = ContactSerializer
doc_type = 'myapp.contact'
Finally, sync your database with elasticsearch by running:
::
$ python manage.py update_index
Celery Support ^^^^^^^^^^^^^^^
By default, dr-elasticsearch-dsl does not setup signals to sync models on save or delete. To enable celery support, add the following to your settings.py confiration:
.. code-block:: python
DRF_SERIALIZER_ELASTICSERACH_SETTTINGS = {
...
'signal_processor_class': 'drf_elasticsearch_dsl.signals.CelerySignalProcessor',
}
See the celery
_ documentation for details setting up celery with django
Does the code actually work?
::
source <YOURVIRTUALENV>/bin/activate
(myenv) $ pip install -r requirements_test.txt
(myenv) $ tox
ModelSerializerDocument
added to search_indexes.py
Tools used in rendering this package:
cookiecutter-djangopackage
_.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _cookiecutter-djangopackage
: https://github.com/pydanny/cookiecutter-djangopackage
.. _django-haystack
: https://github.com/django-haystack/django-haystack
.. _elastic-search-dsl persistence
: http://elasticsearch-dsl.readthedocs.io/en/latest/persistence.html
.. _celery
: http://docs.celeryproject.org
.. _ModelSerializer
: http://www.django-rest-framework.org/api-guide/serializers/#modelserializer
FAQs
DRF wrapper around ElasticsearchDSL
We found that drf-elasticsearch-dsl demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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