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Fabric deployment for Django

Project description


There is full working example:


from fabdeploy.api import DefaultConf

class BaseConf(DefaultConf):
    django_dir = 'project_name'

class StagingConf(BaseConf):
    address = ''

class ProdConf(BaseConf):
    address = ''


from fabdeploy import monkey; monkey.patch_all()
from fabric.api import *
from fabdeploy.api import *; setup_fabdeploy()

def user_create():'~/.ssh/')

def deploy():

Fabdeploy uses two system (linux) users:

  • sudo_user to perform tasks that require sudo right (root by default).
  • user for other tasks (SSH user by default).

In Ubuntu root user is disabled by default. You can create special fabdeploy user using following command:

fab fabd.default_conf:address=user@host,sudo_user=user fabd.create_user

Then you should tell fabdeploy to use new sudo_user:

class ProdConf(BaseConf):
    sudo_user = 'fabdeploy'

List of available tasks:

fab --list

List of available variables:

fab fabd.debug

This is useful to test configuration:

$ fab fabd.conf:prod fabd.debug:django_path


$ fab fabd.conf:prod fabd.debug:cpu_count


$ fab fabd.conf:prod fabd.debug:current_time

To deploy project you may use:

$ fab fabd.conf:staging deploy
$ fab fabd.conf:prod deploy


Control where logs are stored

from fabdeploy.api import DefaultConf

class ProdConf(DefaultConf):
    my_task__log_path = '/var/log/my_task'

from fabdeploy.api import Task

class MyTask(Task):
    def do(self):
        print self.conf.log_path

my_task = MyTask()


$ fab fabd.conf:prod my_task

You can also temporarily set log path:

$ fab fabd.conf:prod my_task:log_path='/var'

This works for all variables and all tasks.

Multiple databases

from fabdeploy.api import DefaultConf

class ProdConf(DefaultConf):
    # default DB
    db_name = 'name1'
    db_user = 'user1'
    db_password = 'pass1'
    # logging DB
    loggingdb__db_name = 'name2'
    loggingdb__db_user = 'user2'
    loggingdb__db_password = 'pass2'

from fabdeploy import postgres

def dump_db():  # dump default DB'loggingdb__')  # dump logging DB

Built-in tasks customization

Fabdeploy is written to be highly configurable. For example, there is built-in tar task, which by default packs whole project, uploads it to server and unpacks it there.

But you can freely use it to upload custom dirs:

from fabdeploy import tar

def push_static():
        src_dir=os.path.join(env.conf.django_ldir, 'static'),
        target_dir=posixpath.join(env.conf.django_dir, 'static'))

Different DBs for development and production

from fabdeploy import api
from fabdeploy.api import DefaultConf

class DevConf(DefaultConf):
    address = 'user@localhost'
    db = getattr(fabdeploy, 'mysql')

class ProdConf(DefaultConf):
    address = 'user@localhost'
    db = getattr(fabdeploy, 'postgres')

def execute():
    print env.conf.db.execute


There are some conventions how to configure fabdeploy:

  • You should extend DefaultConf:

    from fabdeploy.api import DefaultConf
    class BaseConf(DefaultConf):
  • Each value can contain Python formatting:

    class BaseConf(DefaultConf):
        supervisor__log_dir = '%(var_dir)s/log/supervisor'
  • Remote pathes should have posfix _path. You can and should use task fabd.mkdirs to create all remote dirs with one command. It will look like this:

    $ fab fabd.conf:staging_conf fabd.mkdirs
    mkdir --parents /path/to/dir1 /path/to/dir2 /path/to/dir3
  • Remote dirs (e.g. var) have postfix _dir.

  • Local pathes have postfix _lpath. Local dirs have postfix _ldir. This is similar to Fabric cd and lcd tasks.

  • Dirs (postfix _dir and _ldir) and pathes (postfix _path and _lpath) can be Python lists. These lists will be passed to os.path.join() or posixpath.join(). Previous example can look like this:

    from fabdeploy.api import DefaultConf
    class BaseConf(DefaultConf):
        supervisor__log_dir = ['%(var_dir)s', 'log', 'supervisor']
  • Function can be decorated with conf decorator. For example, current_time task looks like this:

    from fabdeploy.api import DefaultConf
    class BaseConf(DefaultConf):
        def current_time(self):
            return datetime.datetime.utcnow().strftime(self.time_format)

    You can use it in your task like this:

    from fabdeploy.api import Task
    class MyTask(Task):
        def do(self):
  • You can configure each task individually:

    class BaseConf(DefaultConf):
        postgres__db_name = 'postgresql_db'  # module=postres
        mysql__db_name = 'mysql_db'          # module=mysql
        mysql__create_db__db_user = 'root'   # module=mysql, task=create_db

Configuration is stored in task instance variable self.conf. Each task has its own copy of configuration. Configuration variables are searched in following places:

  • task keyword argument var (fab task:foo=bar);
  • task instance method var() decorated with @conf();
  • key var in env.conf, which is populated by fabd.conf task;
  • ask user to provide variable var using fabric prompt.

Global configuration is stored in env.conf.

Writing your task

Your task is class-based fabric class except fabdeploy manages configuration for you:

from fabric.api import puts
from fabdeploy.api import Task, conf

class MessagePrinter(Task):
    def message(self):
        if 'message' in self.conf:
            return self.conf.message
        return 'Hi!'

    def do(self):
        if self.conf.secret == '123':

message_printer = MessagePrinter()

Then you can run this task like this:

$ fab message_printer
> secret = 123
$ fab message_printer:message='Hello world!'
> secret = 123
Hello world!

Fabfile example

Typical fabfile may look like this:

from fabdeploy import monkey; monkey.patch_all()
from fabric.api import *
from fabdeploy.api import *; setup_fabdeploy()

def install():'~/.ssh/')

    with settings(warn_only=True):

    for app in ['supervisor']:

def setup():


def deploy():'gunicorn')'celeryd')

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