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.
Documentation
The full documentation is at https://drf-elasticsearch-dsl.readthedocs.io.
Quickstart
Install Django Package:
pip install drf-elasticsearch-dsl
Add it to your INSTALLED_APPS:
INSTALLED_APPS = (
...
'drf_elasticsearch_dsl.apps.DrfElasticsearchDsl',
...
)
Configure DRF_SERIALIZER_ELASTICSERACH_SETTTINGS in your settings.py file with your elasticsearch url(s)
DRF_SERIALIZER_ELASTICSERACH_SETTTINGS = {
'elasticsearch_hosts': ['localhost']
}
Create a Model
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
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.
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
Features
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:
DRF_SERIALIZER_ELASTICSERACH_SETTTINGS = {
...
'signal_processor_class': 'drf_elasticsearch_dsl.signals.CelerySignalProcessor',
}
See the celery documentation for details setting up celery with django
Running Tests
Does the code actually work?
source <YOURVIRTUALENV>/bin/activate (myenv) $ pip install -r requirements_test.txt (myenv) $ tox
TODO:
Add search URLS to be automatically added to all ModelSerializerDocument added to search_indexes.py
Better documentation
Better test coverage
Credits
Tools used in rendering this package:
Release files for drf-elasticsearch-dsl 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| drf-elasticsearch-dsl-0.1.4.tar.gz | 10.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| drf_elasticsearch_dsl-0.1.4-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 24.8 kB
Release files / drf-elasticsearch-dsl-0.1.4.tar.gz
| Download URL | drf-elasticsearch-dsl-0.1.4.tar.gz |
|---|---|
| Size | 10.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / drf_elasticsearch_dsl-0.1.4-py2.py3-none-any.whl
| Download URL | drf_elasticsearch_dsl-0.1.4-py2.py3-none-any.whl |
|---|---|
| Size | 14.1 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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