Mixer-like tool to create test-fixtures for an Elasticsearch index
This tool is heavily inspired by klen's Mixer.
This tool is optimized to be used with
It allows you to add documents to a test-index in yout Elasticsearch instance when you run your unittests.
elasticsearch_fixtures you can do something like this:
from elasticsearch_fixtures.es_mixer import ESMixer es_mixer = ESMixer(host='http://localhost:9200/') def test_something(): doc1 = es_mixer.blend('indexname', id=1, title='test') assert doc1['source']['title'] == 'test'
Note: If you provide an
id and a document with that
id already exists, that
document will not be updated, but fully replaced.
You can also create documents without providing an
id. Elasticsearch will then
def test_something(): doc1 = es_mixer.blend('indexname', title='test') print(doc1['id'])
And you can update an existing document that is already in the index:
def test_something(): es_mixer.blend('indexname', id=1, title='test') doc1 = es_mixer.update('indexname', id=1, title='new title') assert doc1['source']['title'] == 'new_title'
Big word of warning: We are no ES experts. We have only started using ES around June 2019 and one of the first problems that we had was that we did not know how to properly write unittests for our Django views and Graphene resolver functions. There are probably much better ways to do this. If you know one, we would love to hear about it (just open an issue and tell us about it!).
pip install elasticsearch-fixtures
In order to make sure that your tests wipe the index at the very beginning and
also after each test, create the following
"""Global settings for pytest.""" import pytest from django.conf import settings from elasticsearch_fixtures.es_mixer import ESMixer es_mixer = ESMixer(host=settings.ELASTICSEARCH_HOST) index = settings.ELASTICSEARCH_INDEX @pytest.fixture(scope='session', autouse=True) def setup_elasticsearch(): es_mixer.wipe_index(index) @pytest.fixture(autouse=True) def cleanup_elasticsearch(): yield es_mixer.wipe_index(index)
As you can see, in this example we also use a Django setting called
ELASTICSEARCH_HOST (with a trailing slash) and
course you can name your own settings however you like.
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