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!
Make a clone of the code from our Git repository:
$ git clone https://git.openstack.org/openstack/watcher.git
When that is complete, you can:
$ cd watcher
Watcher maintains two lists of dependencies:
requirements.txt
test-requirements.txt
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 14.04:
$ sudo apt-get install python-dev libssl-dev libmysqlclient-dev libffi-dev
Fedora 19+:
$ sudo yum install openssl-devel libffi-devel mysql-devel
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 https://git.openstack.org/openstack/watcher
# Use 'python setup.py' to link Watcher into Python's site-packages
$ cd watcher && python setup.py 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.
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.
Watcher provides both unit tests and functional/tempest tests. Please refer to Testing to understand how to run them.
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.
Watcher services require a configuration file. There is a sample configuration file that can be used to get started:
$ 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:
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.
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
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.
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.
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, ...).