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@ -24,20 +24,15 @@ as it has a very nice REST API that provides all of these things at a higher lev
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Ansible is written in its own API so you have a considerable amount of power across the board.
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This chapter discusses the Python API.
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.. _python_api:
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The Python API is very powerful, and is how the all the ansible CLI tools are implemented.
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In version 2.0 the core ansible got rewritten and the API was mostly rewritten.
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.. note:: Ansible relies on forking processes, as such the API is not thread safe.
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.. _python_api_20:
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.. _python_api_example:
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Python API 2.0
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--------------
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In 2.0 things get a bit more complicated to start, but you end up with much more discrete and readable classes::
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Python API example
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------------------
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This example is by no means comphrehensive and is not meant to show you how to use all of Ansible's feautres,
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it is just a simple demonstration on how to minmally run a couple of tasks.::
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#!/usr/bin/env python
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@ -65,22 +60,24 @@ In 2.0 things get a bit more complicated to start, but you end up with much more
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host = result._host
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print(json.dumps({host.name: result._result}, indent=4))
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# since API is constructed for CLI it expects certain options to always be set, named tuple 'fakes' the args parsing options object
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Options = namedtuple('Options', ['connection', 'module_path', 'forks', 'become', 'become_method', 'become_user', 'check', 'diff'])
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options = Options(connection='local', module_path=['/to/mymodules'], forks=10, become=None, become_method=None, become_user=None, check=False, diff=False)
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# initialize needed objects
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loader = DataLoader()
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options = Options(connection='local', module_path=['/path/to/mymodules'], forks=100, become=None, become_method=None, become_user=None, check=False,
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diff=False)
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loader = DataLoader() # Takes care of finding and reading yaml, json and ini files
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passwords = dict(vault_pass='secret')
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# Instantiate our ResultCallback for handling results as they come in
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# Instantiate our ResultCallback for handling results as they come in, Ansible expects this to be one of it's main display outlets
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results_callback = ResultCallback()
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# create inventory and pass to var manager
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# use path to host config file as source or hosts in a comma separated string
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# create inventory, use path to host config file as source or hosts in a comma separated string
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inventory = InventoryManager(loader=loader, sources='localhost,')
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# variable manager takes care of merging all the different sources to give you a unifed view of variables available in each context
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variable_manager = VariableManager(loader=loader, inventory=inventory)
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# create play with tasks
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# create datastructure that represents our play, including tasks, this is basically what our YAML loader does internally.
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play_source = dict(
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name = "Ansible Play",
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hosts = 'localhost',
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@ -90,9 +87,12 @@ In 2.0 things get a bit more complicated to start, but you end up with much more
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dict(action=dict(module='debug', args=dict(msg='{{shell_out.stdout}}')))
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]
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)
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# Create play object, playbook objects use .load instead of init or new methods,
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# this will also automatically create the task objects from the info provided in play_source
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play = Play().load(play_source, variable_manager=variable_manager, loader=loader)
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# actually run it
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# actually run it, instantiate task queue manager, which takes care of forking and setting up all objects to iterate over host list and tasks
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tqm = None
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try:
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tqm = TaskQueueManager(
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@ -101,82 +101,16 @@ In 2.0 things get a bit more complicated to start, but you end up with much more
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loader=loader,
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options=options,
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passwords=passwords,
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stdout_callback=results_callback, # Use our custom callback instead of the ``default`` callback plugin
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stdout_callback=results_callback, # Use our custom callback instead of the ``default`` callback plugin, which prints to stdout
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)
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result = tqm.run(play)
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result = tqm.run(play) # most interesting data for a play is actually sent to the callback's methods
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finally:
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# we always need to cleanup child procs, and the strucutres we use to communicate with them
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if tqm is not None:
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tqm.cleanup()
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.. _python_api_old:
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Python API pre 2.0
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------------------
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It's pretty simple::
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import ansible.runner
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runner = ansible.runner.Runner(
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module_name='ping',
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module_args='',
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pattern='web*',
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forks=10
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)
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datastructure = runner.run()
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The run method returns results per host, grouped by whether they
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could be contacted or not. Return types are module specific, as
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expressed in the :doc:`../modules` documentation.::
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{
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"dark" : {
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"web1.example.com" : "failure message"
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},
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"contacted" : {
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"web2.example.com" : 1
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}
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}
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A module can return any type of JSON data it wants, so Ansible can
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be used as a framework to rapidly build powerful applications and scripts.
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.. _detailed_api_old_example:
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Detailed API Example
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````````````````````
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The following script prints out the uptime information for all hosts::
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#!/usr/bin/python
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import ansible.runner
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import sys
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# construct the ansible runner and execute on all hosts
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results = ansible.runner.Runner(
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pattern='*', forks=10,
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module_name='command', module_args='/usr/bin/uptime',
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).run()
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if results is None:
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print "No hosts found"
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sys.exit(1)
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print "UP ***********"
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for (hostname, result) in results['contacted'].items():
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if not 'failed' in result:
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print "%s >>> %s" % (hostname, result['stdout'])
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print "FAILED *******"
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for (hostname, result) in results['contacted'].items():
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if 'failed' in result:
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print "%s >>> %s" % (hostname, result['msg'])
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print "DOWN *********"
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for (hostname, result) in results['dark'].items():
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print "%s >>> %s" % (hostname, result)
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.. note:: Ansible emits warnings and errors via the display object, which prints directly to stdout, stderr and the Ansible log.
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Advanced programmers may also wish to read the source to ansible itself,
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for it uses the API (with all available options) to implement the ``ansible``
|
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