ElasticMock

Python Elasticsearch Mock for test purposes

Installation

pip install ElasticMock

Usage

To use ElasticMock, decorate your test method with @elasticmock decorator:

from unittest import TestCase

from elasticmock import elasticmock


class TestClass(TestCase):

    @elasticmock
    def test_should_return_something_from_elasticsearch(self):
        self.assertIsNotNone(some_function_that_uses_elasticsearch())

Notes:

The mocked search method returns all available documents indexed on the index with the requested document type.

The mocked suggest method returns the exactly suggestions dictionary passed as body serialized in Elasticsearch.suggest response. Atention: If the term is an int, the suggestion will be python term + 1. If not, the suggestion will be formatted as python {0}_suggestion.format(term) . Example:

Suggestion Body:

 suggestion_body = {
     'suggestion-string': {
         'text': 'test_text',
         'term': {
             'field': 'string'
         }
     },
     'suggestion-id': {
         'text': 1234567,
         'term': {
             'field': 'id'
         }
     }
 }

Suggestion Response:

{
    'suggestion-string': [
        {
            'text': 'test_text',
            'length': 1,
            'options': [
                {
                    'text': 'test_text_suggestion',
                    'freq': 1,
                    'score': 1.0
                }
            ],
            'offset': 0
        }
    ],
    'suggestion-id': [
        {
            'text': 1234567,
            'length': 1,
            'options': [
                {
                    'text': 1234568,
                    'freq': 1,
                    'score': 1.0
                }
            ],
            'offset': 0
        }
    ],
}

Testing

python setup.py test

Changelog

1.3.2

elasticmock: Python 3 fixes (Thanks @barseghyanartur)
test: Add information on testing (Thanks @barseghyanartur)
README.md: Fixed typo (Thanks @bowlofstew)

1.3.1

elasticmock: Allow the same arguments to the mock that elasticsearch.Elasticsearch allows (Thanks @mattbreeden)

1.3.0:

FakeElasticSearch: Mocked count method (Thanks @TheoResources)

1.2.0:

FakeElasticSearch: Mocked suggest method

1.1.1:

elasticmock: Changing the cleanup older FakeElasticSearch's instances order
FakeElasticSearch.index: Changing the method signature to correctly overrides the Elasticsearch.index method

1.1.0:

FakeElasticSearch: Mocked delete method

1.0.1:

setup.py: Fixed GitHub link

1.0.0:

elasticmock: Created @elasticmock decorator
FakeElasticSearch: Mocked exists, get, get_source, index, info, search and ping method

sravankorumilli/elasticmock