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coreycb Add Python 3 Train unit tests
This is a mechanically generated patch to ensure unit testing is in place
for all of the Tested Runtimes for Train.

See the Train python3-updates goal document for details:
https://governance.openstack.org/tc/goals/train/python3-updates.html

Change-Id: Id4c91cd65f3551ebced59b9f238520fa6a73e2e7
Story: #2005924
Task: #34245
Latest commit de228e7 Jul 5, 2019

README.rst

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python-searchlightclient

OpenStack Indexing and Search API Client Library

This is a client library for Searchlight built on the Searchlight API. It provides a Python API (the searchlightclient module) and a command-line tool (searchlight).

The project is hosted on Storyboard, where bugs can be filed. The code is hosted on OpenStack git repository. Patches must be submitted using Gerrit, not git repo pull requests.

python-searchlightclient is licensed under the Apache License like the rest of OpenStack.

Install the client from PyPI

The program python-searchlightclient package is published on PyPI and so can be installed using the pip tool, which will manage installing all python dependencies:

$ pip install python-searchlightclient

Note

The packages on PyPI may lag behind the git repo in functionality.

Setup the client from source

  • Clone repository for python-searchlightclient:

    $ git clone https://opendev.org/openstack/python-searchlightclient.git
    $ cd python-searchlightclient
    
  • Setup a virtualenv

Note

This is an optional step, but will allow Searchlightclient's dependencies to be installed in a contained environment that can be easily deleted if you choose to start over or uninstall Searchlightclient.

$ tox -evenv --notest

Activate the virtual environment whenever you want to work in it. All further commands in this section should be run with the venv active:

$ source .tox/venv/bin/activate

Note

When ALL steps are complete, deactivate the virtualenv: $ deactivate

  • Install Searchlightclient and its dependencies:

    (venv) $ python setup.py develop
    

Command-line API

Set Keystone environment variables to execute CLI commands against searchlight.

  • To execute CLI commands:

    $ export OS_USERNAME=<user>
    $ export OS_PASSWORD=<password>
    $ export OS_TENANT_NAME=<project>
    $ export OS_AUTH_URL='http://localhost:5000/v2.0/'
    

Note

With devstack you just need to $ source openrc <user> <project>. And you can work with a local installation by passing --os-token <TOKEN> and --os-url http://localhost:9393. You can also set up a Openstackclient config file to work with the CLI.

$ openstack
(openstack) search resource type list
+--------------------------+--------------------------+
| Name                     | Type                     |
+--------------------------+--------------------------+
| OS::Designate::RecordSet | OS::Designate::RecordSet |
| OS::Designate::Zone      | OS::Designate::Zone      |
| OS::Glance::Image        | OS::Glance::Image        |
| OS::Glance::Metadef      | OS::Glance::Metadef      |
| OS::Nova::Server         | OS::Nova::Server         |
+--------------------------+--------------------------+

Here are the full list of subcommands, Use -h to see options:

Subcommand Description
search facet list List Searchlight Facet
search resource type list List Searchlight Resource Type (Plugin)
search query Search Searchlight resource

Python API

To use with keystone as the authentication system:

>>> from keystoneclient.auth.identity import generic
>>> from keystoneclient import session
>>> from searchlightclient import client
>>> auth = generic.Password(auth_url=OS_AUTH_URL, username=OS_USERNAME, password=OS_PASSWORD, tenant_name=OS_TENANT_NAME)
>>> keystone_session = session.Session(auth=auth)
>>> sc = client.Client('1', session=keystone_session)
>>> sc.resource_types.list()
[...]

Testing

There are multiple test targets that can be run to validate the code.

  • tox -e pep8 - style guidelines enforcement
  • tox -e py27 - traditional unit testing with python 2.7
  • tox -e py36 - traditional unit testing with python 3.6
  • tox -e py37 - traditional unit testing with python 3.7
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