ansiblator 0.5-9-11-10-2014

Ansiblator
==========

This wrapper allows more easier way how to use Ansible in Python.
Chain commands without without playbooks. More like Fabric.

With this Ansible can be more powerfull and it will allow to chain commands with
python commands. Ansible documentation is on http://docs.ansible.com/.
API is now trying to feel like Fabric, but it's still not complete, there
will be some changes.

Get started
===========

For instalation you can download package and then just unpack package from
https://pypi.python.org/pypi/ansiblator and use it::

python setup.py install

or install by pip::

pip install ansiblator


Quickstart
==========

For most quickest example you can just create your ansible host file named
ansible_hosts inside your home directory or give full path to file.

Ansiblator is mainly using file such as in ~/ansible_hosts.

code::

from ansiblator.api import Ansiblator
ans = Ansiblator()
ret = ans.local("uname -a", now=True, use_shell=True)
ans.run("uname -a", now=True)
ans.runner("uptime")
ans.run_all()
ans.copy(src="/tmp/aabc.csv", dest="/tmp/",pattern="pc",now=True)

specify ansible hosts file and select pattern::

ans = Ansiblator(inventory="/tmp/ansible_file", pattern="pc")

use dictionary to create inventory::

inv = {'pc':[{'ssh_host':'192.168.0.10', 'ssh_user':'test_user', 'su_user':'root'},
{'ssh_host':'192.168.0.12', 'ssh_user':'test_user2', 'su_pass':'paasswd','su_user':'root'}]}
ans = Ansiblator(inventory=inv)
ans.run("uname -a", now=True)

prepare commands and run after::

ans = Ansiblator(run_at_once=False)
ans.get(src="/tmp/file", dest="/tmp/")
ans.get(src="/tmp/file2", dest="/tmp/")
ans.run_all()

With this, you can create full commands or functions and just pass to them
pattern and run at the end.


More information
================

Ansiblator automatically saves returned json values for actuall runs, so
you can use them for testing and conditions. For example

testing::

return_code = ans.local("uname -a", now=True, use_shell=True)
return_code['contacted']

or

return_code = ans.local(["uname", "-a"], now=True, use_shell=False)
return_code['contacted']

TODO
====

- improve fabric-like api for more improvments
- make more tests
- try to improve dynamic inventory attachments
- make automatic translating of methods to ansible modules
- improve logging
- improve DictToInventory mapper, so more options are possible, such as groups and so on

Info
====
For more information you can consult functions or actual Ansible documentation.
More information can be also used on http://www.pripravto.cz. You can also
contact us there.