testing.elasticsearch
automatically setups a elasticsearch instance in a temporary directory, and destroys it after testing.
Use pip:
$ pip install testing.elasticsearch2
And testing.elasticsearch2
requires Elasticsearch server in your PATH.
Create Elasticsearch instance using testing.elasticsearch.Elasticsearch
:
import testing.elasticsearch from sqlalchemy import create_engine # Lanuch new Elasticsearch server with testing.elasticsearch.Elasticsearch() as elasticsearch: # connect to Elasticsearch (using elasticsearch-py) es = Elasticsearch(**elasticsearch.dsn()) # # do any tests using Elasticsearch... # # Elasticsearch server is terminated here
testing.elasticsearch.Elasticsearch
generates temporary config files and data directories.
On deleting Elasticsearch object, it terminates Elasticsearch instance and removes temporary files and directories.
If you want a database including indexes and any fixtures for your apps,
use copy_data_from
keyword:
# uses a copy of specified data directory of Elasticsearch. elasticsearch = testing.elasticsearch.Elasticsearch(copy_data_from='/path/to/your/index')
For example, you can setup new Elasticsearch server for each testcases on setUp() method:
import unittest import testing.elasticsearch class MyTestCase(unittest.TestCase): def setUp(self): self.elasticsearch = testing.elasticsearch.Elasticsearch() def tearDown(self): self.elasticsearch.stop()
- Python 2.7, 3.3, 3.4, 3.5
Apache License 2.0
- Drop python 2.6, 3.2 support
- Depend on testing.common.database >= 2.0.0
- Set booting timeout to 20sec
- Fix bugs:
- #1: find_elasticsearch_yaml_path() does not refer elasticsearch_home argument
- #2: Make ES_PATH absolute
- Depend on
testing.common.database
package
- First release