Elasticsearch fixtures and fixture factories for Pytest.
Project description
pytest-elasticsearch
What is this?
This is a pytest plugin that enables you to test your code that relies on a running Elasticsearch search engine. It allows you to specify fixtures for Elasticsearch process and client.
How to use
The plugin contains two fixtures:
elasticsearch - a client fixture that has functional scope, and which cleans Elasticsearch at the end of each test.
elasticsearch_proc - a session scoped fixture, that starts Elasticsearch instance at its first use and stops at the end of the tests.
elasticsearch_nooproc - a nooprocess fixture, that’s holds connection data to already running elasticsearch
Simply include one of these fixtures into your tests fixture list.
You can also create additional elasticsearch client and process fixtures if you’d need to:
from pytest_elasticsearch import factories
elasticsearch_my_proc = factories.elasticsearch_proc(port=None)
elasticsearch_my = factories.elasticsearch('elasticsearch_my_proc')
Connecting to already existing Elasticsearch service
Some projects are using already running Elasticsearch servers (ie on docker instances). In order to connect to them, one would be using the elasticsearch_nooproc fixture.
es_external = factories.elasticsearch('elasticsearch_nooproc')
By default the elasticsearch_nooproc fixture would connect to elasticsearch instance using 9300 port.
Configuration
You can define your settings in three ways, it’s fixture factory argument, command line option and pytest.ini configuration option. You can pick which you prefer, but remember that these settings are handled in the following order:
Fixture factory argument
Command line option
Configuration option in your pytest.ini file
ElasticSearch option |
Fixture factory argument |
Command line option |
pytest.ini option |
Noop process fixture |
Default |
---|---|---|---|---|---|
Elasticsearch executable |
executable |
–elasticsearch-executable |
elasticsearch_executable |
/usr/share/elasticsearch/bin/elasticsearch |
|
host |
host |
–elasticsearch-host |
elasticsearch_host |
host |
127.0.0.1 |
port |
port |
–elasticsearch-port |
elasticsearch_port |
6300 |
random |
Elasticsearch cluster name |
cluster_name |
–elasticsearch-cluster-name |
elasticsearch_cluster_name |
elasticsearch_cluster_<port> |
|
index storage type |
index_store_type |
–elasticsearch-index-store-type |
elasticsearch_index_store_type |
mmapfs |
|
network publish host |
network_publish_host |
–elasticsearch-network-publish-host |
elasticsearch_network_publish_host |
127.0.0.1 |
|
transport tcp port |
transport_tcp_port |
–elasticsearch-transport-tcp-port |
elasticsearch_transport_tcp_port |
random |
Example usage:
pass it as an argument in your own fixture
elasticsearch_proc = factories.elasticsearch_proc( cluster_name='awsome_cluster)
specify your directory as elasticsearch_cluster_name in your pytest.ini file.
To do so, put a line like the following under the [pytest] section of your pytest.ini:
[pytest] elasticsearch_cluster_name = awsome_cluster
Known issues
It might happen, that the process can’t be started due to lack of permissions. The files that user running tests has to have access to are:
/etc/default/elasticsearch
Make sure that you either run tests as a user that has access to these files, or you give user proper permissions or add it to proper user groups.
In CI at the moment, we install elasticsearch from tar/zip archives, which do not set up additional permission restrictions, so it’s not a problem on the CI/CD.
Package resources
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file pytest_elasticsearch_test-0.0.2.tar.gz
.
File metadata
- Download URL: pytest_elasticsearch_test-0.0.2.tar.gz
- Upload date:
- Size: 28.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 180db3d1ab015f9573bee2903c8be9dba910a655f89ef571e867324bff218073 |
|
MD5 | ae6c1f0c5f9c4e5272ab01b760b66e8f |
|
BLAKE2b-256 | fb61e82d4f60345d3da2ecfe5af656ea00c33115226e2a0430d7ad09cac735c8 |
File details
Details for the file pytest_elasticsearch_test-0.0.2-py3-none-any.whl
.
File metadata
- Download URL: pytest_elasticsearch_test-0.0.2-py3-none-any.whl
- Upload date:
- Size: 26.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 420a7b47272e0354512acc9574471be069e0a356e7f65625986b1ce8d033becf |
|
MD5 | a64a96cf268da353cb8fbf2be0f7cced |
|
BLAKE2b-256 | f34fba0b026de4c027fcafd0e0580bd257f1ee959e4bf558d50a6338e624cdac |