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Elasticsearch client with Django support.

Project description

Gum is a Django app for integrate Elasticsearch 1.x with Django. You can find documentation at https://django-gum.readthedocs.org.

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Quick start

1 Install using pip:

pip install django-gum

2 Add “gum” to your INSTALLED_APPS settings like this:

INSTALLED_APPS += ('gum',)

3 Add Elasticsearch configuration to your settings like this:

GUM_ELASTICSEARCH_URLS = ["http://127.0.0.1:9200/"]
GUM_ELASTICSEARCH_INDEX = ".gum-tests"

List of available configuration variables:

  • GUM_DEBUG (boolean)
  • GUM_USE_CELERY (boolean)
  • GUM_ELASTICSEARCH_URLS (list)
  • GUM_ELASTICSEARCH_INDEX (string)

4 Create an index.py in your app, with a content like this:

from gum.indexer import MappingType, indexer

class PostMappingType(MappingType):

    def document(self, instance):
        tags_text = " ".join(map(lambda x: x.label, instance.tags.all()))
        return {
            "title": instance.title,
            "content": instance.content,
            "text": "{} {} {}".format(instance.title, instance.content, tags_text)
        }

    def mapping(self):
        return {
            "properties": {
                "title": {
                    "type": "string",
                    "store": True,
                },
                "content": {
                    "type": "string",
                    "store": True,
                },
                "text": {
                    "type": "string",
                    "store": True,
                }
            }
        }

indexer.register(Post, PostMappingType)

5 Update Elasticsearch index:

./manage.py gum --update-index

You can specify the models you want to index:

./manage.py gum --update-index blog.Post

Searching

You can perform Elasticsearch searches (accessing search method) using elasticsearch model attribute:

response = Post.elasticsearch.search(body={
    "query": {
        "match_all": {}
    }
})

Project details


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