- Language: en
- Documentation version: 1.1.x
Deploying with Fabric¶
Fabric is a tool for Python similar to Makefiles but with the ability to execute commands on a remote server. In combination with a properly set up Python package (Larger Applications) and a good concept for configurations (Configuration Handling) it is very easy to deploy Flask applications to external servers.
Before we get started, here a quick checklist of things we have to ensure upfront:
Fabric 1.0 has to be installed locally. This tutorial assumes the latest version of Fabric.
The application already has to be a package and requires a working
setup.pyfile (Deploying with Setuptools).
In the following example we are using mod_wsgi for the remote servers. You can of course use your own favourite server there, but for this example we chose Apache + mod_wsgi because it’s very easy to setup and has a simple way to reload applications without root access.
Creating the first Fabfile¶
A fabfile is what controls what Fabric executes. It is named
and executed by the fab command. All the functions defined in that file
will show up as fab subcommands. They are executed on one or more
hosts. These hosts can be defined either in the fabfile or on the command
line. In this case we will add them to the fabfile.
This is a basic first example that has the ability to upload the current source code to the server and install it into a pre-existing virtual environment:
from fabric.api import *
# the user to use for the remote commands
env.user = 'appuser'
# the servers where the commands are executed
env.hosts = ['server1.example.com', 'server2.example.com']
# build the package
local('python setup.py sdist --formats=gztar', capture=False)
# figure out the package name and version
dist = local('python setup.py --fullname', capture=True).strip()
filename = '%s.tar.gz' % dist
# upload the package to the temporary folder on the server
put('dist/%s' % filename, '/tmp/%s' % filename)
# install the package in the application's virtualenv with pip
run('/var/www/yourapplication/env/bin/pip install /tmp/%s' % filename)
# remove the uploaded package
run('rm -r /tmp/%s' % filename)
# touch the .wsgi file to trigger a reload in mod_wsgi
Now how do you execute that fabfile? You use the fab command. To deploy the current version of the code on the remote server you would use this command:
$ fab pack deploy
However this requires that our server already has the
/var/www/yourapplication folder created and
/var/www/yourapplication/env to be a virtual environment. Furthermore
are we not creating the configuration or
.wsgi file on the server. So
how do we bootstrap a new server into our infrastructure?
This now depends on the number of servers we want to set up. If we just have one application server (which the majority of applications will have), creating a command in the fabfile for this is overkill. But obviously you can do that. In that case you would probably call it setup or bootstrap and then pass the servername explicitly on the command line:
$ fab -H newserver.example.com bootstrap
To setup a new server you would roughly do these steps:
Create the directory structure in
$ mkdir /var/www/yourapplication $ cd /var/www/yourapplication $ virtualenv --distribute env
Upload a new
application.wsgifile to the server and the configuration file for the application (eg:
Create a new Apache config for
yourapplicationand activate it. Make sure to activate watching for changes of the
.wsgifile so that we can automatically reload the application by touching it. (See mod_wsgi (Apache) for more information)
So now the question is, where do the
application.cfg files come from?
The WSGI File¶
The WSGI file has to import the application and also to set an environment variable so that the application knows where to look for the config. This is a short example that does exactly that:
os.environ['YOURAPPLICATION_CONFIG'] = '/var/www/yourapplication/application.cfg'
from yourapplication import app
The application itself then has to initialize itself like this to look for the config at that environment variable:
app = Flask(__name__)
This approach is explained in detail in the Configuration Handling section of the documentation.
The Configuration File¶
Now as mentioned above, the application will find the correct
configuration file by looking up the
variable. So we have to put the configuration in a place where the
application will able to find it. Configuration files have the unfriendly
quality of being different on all computers, so you do not version them
A popular approach is to store configuration files for different servers
in a separate version control repository and check them out on all
servers. Then symlink the file that is active for the server into the
location where it’s expected (eg:
Either way, in our case here we only expect one or two servers and we can upload them ahead of time by hand.
Now we can do our first deployment. We have set up the servers so that they have their virtual environments and activated apache configs. Now we can pack up the application and deploy it:
$ fab pack deploy
Fabric will now connect to all servers and run the commands as written
down in the fabfile. First it will execute pack so that we have our
tarball ready and then it will execute deploy and upload the source code
to all servers and install it there. Thanks to the
setup.py file we
will automatically pull in the required libraries into our virtual
From that point onwards there is so much that can be done to make deployment actually fun:
Create a bootstrap command that initializes new servers. It could initialize a new virtual environment, setup apache appropriately etc.
Put configuration files into a separate version control repository and symlink the active configs into place.
You could also put your application code into a repository and check out the latest version on the server and then install. That way you can also easily go back to older versions.
hook in testing functionality so that you can deploy to an external server and run the test suite.
Working with Fabric is fun and you will notice that it’s quite magical to
fab deploy and see your application being deployed automatically
to one or more remote servers.