Added chapter about fabric based deployments
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@ -33,6 +33,10 @@ not supported by `distribute`_ so we will not bother with it. If you have
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not yet converted your application into a package, head over to the
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:ref:`larger-applications` pattern to see how this can be done.
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A working deployment with distribute is the first step into more complex
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and more automated deployment scenarios. If you want to fully automate
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the process, also read the :ref:`fabric-deployment` chapter.
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Basic Setup Script
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------------------
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196
docs/patterns/fabric.rst
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196
docs/patterns/fabric.rst
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@ -0,0 +1,196 @@
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.. _fabric-deployment:
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Deploying with Fabric
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=====================
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`Fabric`_ is a tool for Python similar to Makefiles but with the ability
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to execute commands on a remote server. In combination with a properly
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set up Python package (:ref:`larger-applications`) and a good concept for
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configurations (:ref:`config`) it is very easy to deploy Flask
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applications to external servers.
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Before we get started, here a quick checklist of things we have to ensure
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upfront:
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- Fabric 1.0 has to be installed locally. This tutorial assumes the
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latest version of Fabric.
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- The application already has to be a package and requires a working
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`setup.py` file (:ref:`distribute-deployment`).
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- In the following example we are using `mod_wsgi` for the remote
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servers. You can of course use your own favourite server there, but
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for this example we chose Apache + `mod_wsgi` because it's very easy
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to setup and has a simple way to reload applications without root
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access.
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Creating the first Fabfile
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--------------------------
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A fabfile is what controls what Fabric executes. It is named `fabfile.py`
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and executed by the `fab` command. All the functions defined in that file
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will show up as `fab` subcommands. They are executed on one or more
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hosts. These hosts can be defined either in the fabfile or on the command
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line. In this case we will add them to the fabfile.
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This is a basic first example that has the ability to upload the current
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sourcecode to the server and install it into a already existing
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virtual environment::
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from fabric.api import *
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# the user to use for the remote commands
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env.user = 'appuser'
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# the servers where the commands are executed
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env.hosts = ['server1.example.com', 'server2.example.com']
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def pack():
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# create a new source distribution as tarball
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local('python setup.py sdist --formats=gztar', capture=False)
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def deploy():
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# figure out the release name and version
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dist = local('python setup.py --fullname').strip()
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# upload the source tarball to the temporary folder on the server
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put('sdist/%s.tar.gz' % dist, '/tmp/')
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# create a place where we can unzip the tarball, then enter
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# that directory and unzip it
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run('mkdir yourapplication')
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with cd('/tmp/yourapplication'):
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run('tar xzf /tmp/yourapplication.tar.gz')
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# now setup the package with our virtual environment's
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# python interpreter
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run('/var/www/yourapplication/env/bin/python setup.py install')
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# now that all is set up, delete the folder again
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run('rm -rf /tmp/yourapplication /tmp/yourapplication.tar.gz')
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# and finally touch the .wsgi file so that mod_wsgi triggers
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# a reload of the application
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run('touch /var/www/yourapplication.wsgi')
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The example above is well documented and should be straightforward. Here
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a recap of the most common commands fabric provides:
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- `run` - executes a command on a remote server
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- `local` - executes a command on the local machine
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- `put` - uploads a file to the remote server
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- `cd` - changes the directory on the serverside. This has to be used
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in combination with the `with` statement.
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Running Fabfiles
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----------------
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Now how do you execute that fabfile? You use the `fab` command. To
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deploy the current version of the code on the remote server you would use
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this command::
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$ fab pack deploy
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However this requires that our server already has the
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``/var/www/yourapplication`` folder created and
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``/var/www/yourapplication/env`` to be a virtual environment. Furthermore
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are we not creating the configuration or `.wsgi` file on the server. So
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how do we bootstrap a new server into our infrastructure?
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This now depends on the number of servers we want to set up. If we just
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have one application server (which the majority of applications will
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have), creating a command in the fabfile for this is overkill. But
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obviously you can do that. In that case you would probably call it
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`setup` or `bootstrap` and then pass the servername explicitly on the
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command line::
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$ fab -H newserver.example.com bootstrap
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To setup a new server you would roughly do these steps:
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1. Create the directory structure in ``/var/www``::
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$ mkdir /var/www/yourapplication
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$ cd /var/www/yourapplication
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$ virtualenv --distribute env
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2. Upload a new `application.wsgi` file to the server and the
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configuration file for the application (eg: `application.cfg`)
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3. Create a new Apache config for `yourapplication` and activate it.
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Make sure to activate watching for changes of the `.wsgi` file so
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that we can automatically reload the application by touching it.
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(See :ref:`mod_wsgi-deployment` for more information)
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So now the question is, where do the `application.wsgi` and
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`application.cfg` files come from?
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The WSGI File
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-------------
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The WSGI file has to import the application and also to set an environment
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variable so that the application knows where to look for the config. This
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is a short example that does exactly that::
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import os
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os.environ['YOURAPPLICATION_CONFIG'] = '/var/www/yourapplication/application.cfg'
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from yourapplication import app
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The application itself then has to initialize itself like this to look for
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the config at that environment variable::
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app = Flask(__name__)
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app.config.from_object('yourapplication.default_config')
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app.config.from_envvar('YOURAPPLICATION_CONFIG')
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This approach is explained in detail in the :ref:`config` section of the
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documentation.
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The Configuration File
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----------------------
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Now as mentioned above, the application will find the correct
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configuration file by looking up the `YOURAPPLICATION_CONFIG` environment
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variable. So we have to put the configuration in a place where the
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application will able to find it. Configuration files have the unfriendly
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quality of being different on all computers, so you do not version them
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usually.
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A popular approach is to store configuration files for different servers
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in a separate version control repository and check them out on all
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servers. Then symlink the file that is active for the server into the
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location where it's expected (eg: ``/var/www/yourapplication``).
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Either way, in our case here we only expect one or two servers and we can
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upload them ahead of time by hand.
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First Deployment
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----------------
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Now we can do our first deployment. We have set up the servers so that
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they have their virtual environments and activated apache configs. Now we
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can pack up the application and deploy it::
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$ fab pack deploy
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Fabric will now connect to all servers and run the commands as written
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down in the fabfile. First it will execute pack so that we have our
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tarball ready and then it will execute deploy and upload the source code
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to all servers and install it there. Thanks to the `setup.py` file we
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will automatically pull in the required libraries into our virtual
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environment.
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Next Steps
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----------
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From that point onwards there is so much that can be done to make
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deployment actually fun:
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- Create a `bootstrap` command that initializes new servers. It could
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initialize a new virtual environment, setup apache appropriately etc.
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- Put configuration files into a separate version control repository
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and symlink the active configs into place.
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- You could also put your application code into a repository and check
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out the latest version on the server and then install. That way you
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can also easily go back to older versions.
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- hook in testing functionality so that you can deploy to an external
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server and run the testsuite.
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Working with Fabric is fun and you will notice that it's quite magical to
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type ``fab deploy`` and see your application being deployed automatically
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to one or more remote servers.
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.. _Fabric: http://fabfile.org/
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@ -19,6 +19,7 @@ Snippet Archives <http://flask.pocoo.org/snippets/>`_.
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packages
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appfactories
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distribute
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fabric
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sqlite3
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sqlalchemy
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fileuploads
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