A command-line tool and API for various Elasticsearch operations.

pip install elastic-companion

Note: The 1.X versions of elastic-companion support Elasticsearch 1.X and the 5.X versions support Elasticsearch 5.X. This is similar to the versioning of the official library

To see the list of commands, use the -h or --help flag.

Each command has a corresponding Python module that can be imported and used as an API rather than from the command-line.

### setup

The setup command will load all indexes, mappings, templates and scripts from the data directory, and send them to ES.

#### /scripts

The scripts folder should have .json files which act as script descriptors. Each file should have the content:

`json { "id": "SCRIPT_ID", "lang": "SCRIPT_LANG", "body": "SCRIPT_BODY", "path": "SCRIPT_BODY_FILE_PATH" }`

While id and lang are required and should match the requirements of ES. These will determine how each script is stored. The values body and path, however, are mutually exclusive and only one is required. You can specify the script's body directly inline under body, or point to a file using path.

If you are using Docker and Docker Compose, then you don't need to fiddle with python and pip manually. Otherwise, see below.

Download Python 3, then:

$ pyvenv-3.X venv
$ source venv/bin/activate
$ pip3 install -r requirements.txt
$ ./cli.py -h

On Ubuntu, there's a bit of an issue with pip3 and the above might not work. Then:

$ pyvenv-3.X venv --without-pip
$ source venv/bin/activate
$ cd venv
$ wget https://bootstrap.pypa.io/get-pip.py
$ python3 get-pip.py
$ cd ..
$ pip3 install -r requirements.txt
$ ./cli.py -h

Use nose:

$ nosetests

or:

$ docker-compose run --rm companion nosetests

You need access to the pypi repository first, then it's just a matter of:

$ python setup.py sdist bdist_wheel
$ twine upload dist/*