Set up a development environment manually

Set up a development environment manually

This document describes getting the source from watcher Git repository for development purposes.

To install Watcher from packaging, refer instead to Watcher User Documentation.


This document assumes you are using Ubuntu or Fedora, and that you have the following tools available on your system:

Reminder: If you’re successfully using a different platform, or a different version of the above, please document your configuration here!

Getting the latest code

Make a clone of the code from our Git repository:

$ git clone

When that is complete, you can:

$ cd watcher

Installing dependencies

Watcher maintains two lists of dependencies:


The first is the list of dependencies needed for running Watcher, the second list includes dependencies used for active development and testing of Watcher itself.

These dependencies can be installed from PyPi using the Python tool pip.

However, your system may need additional dependencies that pip (and by extension, PyPi) cannot satisfy. These dependencies should be installed prior to using pip, and the installation method may vary depending on your platform.

  • Ubuntu 16.04:

    $ sudo apt-get install python-dev libssl-dev libmysqlclient-dev libffi-dev
  • Fedora 24+:

    $ sudo dnf install redhat-rpm-config gcc python-devel libxml2-devel
  • CentOS 7:

    $ sudo yum install gcc python-devel libxml2-devel libxslt-devel mariadb-devel

PyPi Packages and VirtualEnv

We recommend establishing a virtualenv to run Watcher within. virtualenv limits the Python environment to just what you’re installing as dependencies, useful to keep a clean environment for working on Watcher.

$ mkvirtualenv watcher
$ git clone

# Use 'python' to link Watcher into Python's site-packages
$ cd watcher && python install

# Install the dependencies for running Watcher
$ pip install -r ./requirements.txt

# Install the dependencies for developing, testing, and running Watcher
$ pip install -r ./test-requirements.txt

This will create a local virtual environment in the directory $WORKON_HOME. The virtual environment can be disabled using the command:

$ deactivate

You can re-activate this virtualenv for your current shell using:

$ workon watcher

For more information on virtual environments, see virtualenv.

Verifying Watcher is set up

Once set up, either directly or within a virtualenv, you should be able to invoke Python and import the libraries. If you’re using a virtualenv, don’t forget to activate it:

$ workon watcher

You should then be able to import watcher using Python without issue:

$ python -c "import watcher"

If you can import watcher without a traceback, you should be ready to develop.

Run Watcher tests

Watcher provides both unit tests and functional/tempest tests. Please refer to Testing to understand how to run them.

Build the Watcher documentation

You can easily build the HTML documentation from doc/source files, by using tox:

$ workon watcher

(watcher) $ cd watcher
(watcher) $ tox -edocs

The HTML files are available into doc/build directory.

Configure the Watcher services

Watcher services require a configuration file. Use tox to generate a sample configuration file that can be used to get started:

$ tox -e genconfig
$ cp etc/watcher.conf.sample etc/watcher.conf

Most of the default configuration should be enough to get you going, but you still need to configure the following sections:

  • The [database] section to configure the Watcher database
  • The [keystone_authtoken] section to configure the Identity service i.e. Keystone
  • The [watcher_messaging] section to configure the OpenStack AMQP-based message bus

So if you need some more details on how to configure one or more of these sections, please do have a look at Configuring Watcher before continuing.

Create Watcher SQL database

When initially getting set up, after you’ve configured which databases to use, you’re probably going to need to run the following to your database schema in place:

$ workon watcher

(watcher) $ watcher-db-manage create_schema

Running Watcher services

To run the Watcher API service, use:

$ workon watcher

(watcher) $ watcher-api

To run the Watcher Decision Engine service, use:

$ workon watcher

(watcher) $ watcher-decision-engine

To run the Watcher Applier service, use:

$ workon watcher

(watcher) $ watcher-applier

Default configuration of these services are available into /etc/watcher directory. See Configuring Watcher for details on how Watcher is configured. By default, Watcher is configured with SQL backends.

Interact with Watcher

You can also interact with Watcher through its REST API. There is a Python Watcher client library python-watcherclient which interacts exclusively through the REST API, and which Watcher itself uses to provide its command-line interface.

There is also an Horizon plugin for Watcher watcher-dashboard which allows to interact with Watcher through a web-based interface.

Exercising the Watcher Services locally

If you would like to exercise the Watcher services in isolation within a local virtual environment, you can do this without starting any other OpenStack services. For example, this is useful for rapidly prototyping and debugging interactions over the RPC channel, testing database migrations, and so forth.

You will find in the watcher-tools project, Ansible playbooks and Docker template files to easily play with Watcher services within a minimal OpenStack isolated environment (Identity, Message Bus, SQL database, Horizon, …).

Creative Commons Attribution 3.0 License

Except where otherwise noted, this document is licensed under Creative Commons Attribution 3.0 License. See all OpenStack Legal Documents.