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Django REST Elasticsearch provides the easy way for integration Django REST Framework and Elasticsearch. The library uses Elasticsearch DSL library (elasticsearch-dsl-py) It is a high-level library to the official low-level client.
Let's take a look at a quick example of using Django REST Elasticsearch to build a simple application.
Install using pip...
pip install django-rest-elasticsearch
Let's create a simple Django model
class Blog(models.Model):
title = models.CharField(_('Title'), max_length=1000)
created_at = models.DateTimeField(_('Created at'), auto_now_add=True)
body = models.TextField(_('Body'))
tags = ArrayField(models.CharField(max_length=200), blank=True, null=True)
is_published = models.BooleanField(_('Is published'), default=False)
def __str__(self):
return self.title
Create a DocType to represent our Blog model
from elasticsearch_dsl import Document, Date, Integer, Keyword, Text, GeoPoint
class BlogIndex(Document):
pk = Integer()
title = Text(fields={'raw': Keyword()})
created_at = Date()
body = Text()
tags = Keyword(multi=True)
is_published = Boolean()
location = GeoPoint()
class Index:
name = 'blog'
After, create the mappings in Elasticsearch
BlogIndex.init()
Finally, create a view. The view provides search by a word in a title and filtering by tags.
from rest_framework_elasticsearch import es_views, es_pagination, es_filters
class BlogView(es_views.ListElasticAPIView):
es_client = es_client
es_model = BlogIndex
es_pagination_class = es_pagination.ElasticLimitOffsetPagination
es_filter_backends = (
es_filters.ElasticFieldsFilter,
es_filters.ElasticFieldsRangeFilter,
es_filters.ElasticSearchFilter,
es_filters.ElasticOrderingFilter,
es_filters.ElasticGeoBoundingBoxFilter
)
es_ordering = 'created_at'
es_filter_fields = (
es_filters.ESFieldFilter('tag', 'tags'),
)
es_range_filter_fields = (
es_filters.ESFieldFilter('created_at'),
)
es_search_fields = (
'tags',
'title',
)
es_geo_location_field = es_filters.ESFieldFilter('location')
es_geo_location_field_name = 'location'
This will allow the client to filter the items in the list by making queries such as:
http://example.com/blogs/api/list?search=elasticsearch
http://example.com/blogs/api/list?tag=opensource
http://example.com/blogs/api/list?tag=opensource,aws
http://example.com/blogs/api/list?to_created_at=2020-10-01&from_created_at=2017-09-01
# ElasticGeoBoundingBoxFilter expects format {top left lat, lon}|{bottom right lat, lon}
http://example.com/blogs/api/list?location=25.55235365216549,120.245361328125|21.861498734372567,122.728271484375
# ElasticGeoDistanceFilter expects format {distance}{unit}|{lat}|{lon}
http://example.com/blogs/api/list?location=100000km|12.04|-63.93
Activate Virtual Environment virtualenvs.
$ virtualenv venv
$ source venv/bin/activate
To run all of the tests for django-rest-elasticsearch, run:
$ python setup.py test
Use the pytest for running scripts
test/test_filters.py
$ pytest tests/test_filters.py
TestElasticSearchFilter test.$ pytest tests/test_filters.py::TestElasticSearchFilter
By default, the test connection is attempted at localhost:9200, based on the defaults specified in the elasticsearch-py Connection class. Elasticsearch instance at localhost:9200 does not meet these requirements, it is possible to specify a different test Elasticsearch server through the TEST_ES_SERVER environment variable.
$ TEST_ES_SERVER=my-test-server:9201 pytest
For running tests in ralease environments use tox
$ tox
This package also can be ran using Docker and the default entrypoint run the pytests.
docker-compose up
Documentation is available at http://django-rest-elasticsearch.readthedocs.io
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