https://github.com/myarik/django-rest-elasticsearch

Elasticsearch support for Django REST Framework
https://github.com/myarik/django-rest-elasticsearch

Last synced: about 2 months ago
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Elasticsearch support for Django REST Framework

• Host: GitHub
• URL: https://github.com/myarik/django-rest-elasticsearch
• Owner: myarik
• License: other
• Archived: true
• Created: 2017-04-05T09:56:56.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2020-06-05T18:24:21.000Z (over 4 years ago)
• Last Synced: 2024-07-25T04:33:46.276Z (about 2 months ago)
• Language: Python
• Homepage:
• Size: 162 KB
• Stars: 192
• Watchers: 9
• Forks: 38
• Open Issues: 15
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• starred-awesome - django-rest-elasticsearch - Elasticsearch support for Django REST Framework (Python)

README

        
# Elasticsearch for Django REST Framework

[![Build Status](https://travis-ci.org/josemlp91/django-rest-elasticsearch.svg?branch=master)](https://travis-ci.org/josemlp91/django-rest-elasticsearch)

## About

Django REST Elasticsearch provides the easy way for integration [Django REST Framework](http://django-rest-framework.org/) and [Elasticsearch](https://github.com/elastic/elasticsearch).

The library uses Elasticsearch DSL library ([elasticsearch-dsl-py](https://github.com/elastic/elasticsearch-dsl-py)) It is a high-level library to the official low-level client.

## Requirements

- Django REST Framework 3.5 and above

- elasticsearch-dsl>=6.0.0,<7.0.0 (**Elasticsearch 6.x**)

## Example

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

```python

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

```python

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.

```python

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

```

## Development

Activate Virtual Environment [virtualenvs](http://docs.python-guide.org/en/latest/dev/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

- Run all of the tests in `test/test_filters.py`

```

$ pytest tests/test_filters.py

```

- Run only the `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](https://github.com/elastic/elasticsearch-py/blob/master/elasticsearch/connection/base.py#L29)

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](https://tox.readthedocs.io/)

```

$ tox

```

### Docker

This package also can be ran using Docker and the default entrypoint run the pytests.

```

docker-compose up

```

## Documentation

Documentation is available at [http://django-rest-elasticsearch.readthedocs.io](http://django-rest-elasticsearch.readthedocs.io/en/latest/)