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https://github.com/ansible-collections/community.general.git
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4ed88512e4
We couldn't copy to_unicode, to_bytes, to_str into module_utils because of licensing. So once created it we had two sets of functions that did the same things but had different implementations. To remedy that, this change removes the ansible.utils.unicode versions of those functions.
747 lines
34 KiB
Python
747 lines
34 KiB
Python
# (c) 2012-2014, Michael DeHaan <michael.dehaan@gmail.com>
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#
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# This file is part of Ansible
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#
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# Ansible is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# Ansible is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
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# Make coding more python3-ish
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from __future__ import (absolute_import, division, print_function)
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__metaclass__ = type
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import base64
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import subprocess
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import sys
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import time
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import traceback
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from ansible.compat.six import iteritems, string_types, binary_type
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from ansible import constants as C
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from ansible.errors import AnsibleError, AnsibleParserError, AnsibleUndefinedVariable, AnsibleConnectionFailure
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from ansible.executor.task_result import TaskResult
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from ansible.module_utils._text import to_bytes, to_text
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from ansible.playbook.conditional import Conditional
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from ansible.playbook.task import Task
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from ansible.template import Templar
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from ansible.utils.encrypt import key_for_hostname
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from ansible.utils.listify import listify_lookup_plugin_terms
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from ansible.vars.unsafe_proxy import UnsafeProxy, wrap_var
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try:
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from __main__ import display
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except ImportError:
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from ansible.utils.display import Display
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display = Display()
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__all__ = ['TaskExecutor']
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class TaskExecutor:
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'''
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This is the main worker class for the executor pipeline, which
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handles loading an action plugin to actually dispatch the task to
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a given host. This class roughly corresponds to the old Runner()
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class.
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'''
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# Modules that we optimize by squashing loop items into a single call to
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# the module
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SQUASH_ACTIONS = frozenset(C.DEFAULT_SQUASH_ACTIONS)
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def __init__(self, host, task, job_vars, play_context, new_stdin, loader, shared_loader_obj, rslt_q):
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self._host = host
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self._task = task
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self._job_vars = job_vars
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self._play_context = play_context
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self._new_stdin = new_stdin
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self._loader = loader
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self._shared_loader_obj = shared_loader_obj
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self._connection = None
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self._rslt_q = rslt_q
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self._task.squash()
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def run(self):
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'''
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The main executor entrypoint, where we determine if the specified
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task requires looping and either runs the task with self._run_loop()
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or self._execute(). After that, the returned results are parsed and
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returned as a dict.
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'''
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display.debug("in run()")
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try:
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# get search path for this task to pass to lookup plugins
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self._job_vars['ansible_search_path'] = self._task.get_search_path()
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items = self._get_loop_items()
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if items is not None:
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if len(items) > 0:
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item_results = self._run_loop(items)
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# loop through the item results, and remember the changed/failed
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# result flags based on any item there.
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changed = False
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failed = False
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for item in item_results:
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if 'changed' in item and item['changed']:
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changed = True
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if 'failed' in item and item['failed']:
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failed = True
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# create the overall result item, and set the changed/failed
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# flags there to reflect the overall result of the loop
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res = dict(results=item_results)
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if changed:
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res['changed'] = True
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if failed:
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res['failed'] = True
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res['msg'] = 'One or more items failed'
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else:
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res['msg'] = 'All items completed'
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else:
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res = dict(changed=False, skipped=True, skipped_reason='No items in the list', results=[])
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else:
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display.debug("calling self._execute()")
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res = self._execute()
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display.debug("_execute() done")
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# make sure changed is set in the result, if it's not present
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if 'changed' not in res:
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res['changed'] = False
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def _clean_res(res):
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if isinstance(res, UnsafeProxy):
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return res._obj
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elif isinstance(res, binary_type):
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return to_text(res, errors='surrogate_or_strict')
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elif isinstance(res, dict):
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for k in res:
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res[k] = _clean_res(res[k])
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elif isinstance(res, list):
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for idx,item in enumerate(res):
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res[idx] = _clean_res(item)
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return res
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display.debug("dumping result to json")
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res = _clean_res(res)
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display.debug("done dumping result, returning")
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return res
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except AnsibleError as e:
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return dict(failed=True, msg=to_text(e, nonstring='simplerepr'))
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except Exception as e:
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return dict(failed=True, msg='Unexpected failure during module execution.', exception=to_text(traceback.format_exc()), stdout='')
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finally:
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try:
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self._connection.close()
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except AttributeError:
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pass
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except Exception as e:
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display.debug(u"error closing connection: %s" % to_text(e))
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def _get_loop_items(self):
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'''
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Loads a lookup plugin to handle the with_* portion of a task (if specified),
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and returns the items result.
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'''
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# save the play context variables to a temporary dictionary,
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# so that we can modify the job vars without doing a full copy
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# and later restore them to avoid modifying things too early
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play_context_vars = dict()
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self._play_context.update_vars(play_context_vars)
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old_vars = dict()
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for k in play_context_vars:
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if k in self._job_vars:
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old_vars[k] = self._job_vars[k]
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self._job_vars[k] = play_context_vars[k]
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templar = Templar(loader=self._loader, shared_loader_obj=self._shared_loader_obj, variables=self._job_vars)
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items = None
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if self._task.loop:
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if self._task.loop in self._shared_loader_obj.lookup_loader:
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# TODO: remove convert_bare true and deprecate this in with_
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if self._task.loop == 'first_found':
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# first_found loops are special. If the item is undefined
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# then we want to fall through to the next value rather
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# than failing.
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loop_terms = listify_lookup_plugin_terms(terms=self._task.loop_args, templar=templar,
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loader=self._loader, fail_on_undefined=False, convert_bare=True)
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loop_terms = [t for t in loop_terms if not templar._contains_vars(t)]
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else:
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try:
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loop_terms = listify_lookup_plugin_terms(terms=self._task.loop_args, templar=templar,
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loader=self._loader, fail_on_undefined=True, convert_bare=True)
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except AnsibleUndefinedVariable as e:
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display.deprecated("Skipping task due to undefined Error, in the future this will be a fatal error.: %s" % to_bytes(e))
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return None
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# get lookup
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mylookup = self._shared_loader_obj.lookup_loader.get(self._task.loop, loader=self._loader, templar=templar)
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# give lookup task 'context' for subdir (mostly needed for first_found)
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for subdir in ['template', 'var', 'file']: # TODO: move this to constants?
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if subdir in self._task.action:
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break
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setattr(mylookup,'_subdir', subdir + 's')
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# run lookup
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items = mylookup.run(terms=loop_terms, variables=self._job_vars, wantlist=True)
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else:
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raise AnsibleError("Unexpected failure in finding the lookup named '%s' in the available lookup plugins" % self._task.loop)
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# now we restore any old job variables that may have been modified,
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# and delete them if they were in the play context vars but not in
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# the old variables dictionary
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for k in play_context_vars:
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if k in old_vars:
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self._job_vars[k] = old_vars[k]
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else:
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del self._job_vars[k]
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if items:
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from ansible.vars.unsafe_proxy import UnsafeProxy
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for idx, item in enumerate(items):
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if item is not None and not isinstance(item, UnsafeProxy):
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items[idx] = UnsafeProxy(item)
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return items
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def _run_loop(self, items):
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'''
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Runs the task with the loop items specified and collates the result
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into an array named 'results' which is inserted into the final result
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along with the item for which the loop ran.
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'''
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results = []
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# make copies of the job vars and task so we can add the item to
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# the variables and re-validate the task with the item variable
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#task_vars = self._job_vars.copy()
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task_vars = self._job_vars
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loop_var = 'item'
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label = None
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loop_pause = 0
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if self._task.loop_control:
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# the value may be 'None', so we still need to default it back to 'item'
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loop_var = self._task.loop_control.loop_var or 'item'
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label = self._task.loop_control.label or ('{{' + loop_var + '}}')
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loop_pause = self._task.loop_control.pause or 0
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if loop_var in task_vars:
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display.warning(u"The loop variable '%s' is already in use."
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u"You should set the `loop_var` value in the `loop_control` option for the task"
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u" to something else to avoid variable collisions and unexpected behavior." % loop_var)
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ran_once = False
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items = self._squash_items(items, loop_var, task_vars)
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for item in items:
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task_vars[loop_var] = item
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# pause between loop iterations
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if loop_pause and ran_once:
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time.sleep(loop_pause)
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else:
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ran_once = True
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try:
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tmp_task = self._task.copy(exclude_parent=True, exclude_tasks=True)
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tmp_task._parent = self._task._parent
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tmp_play_context = self._play_context.copy()
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except AnsibleParserError as e:
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results.append(dict(failed=True, msg=to_text(e)))
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continue
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# now we swap the internal task and play context with their copies,
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# execute, and swap them back so we can do the next iteration cleanly
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(self._task, tmp_task) = (tmp_task, self._task)
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(self._play_context, tmp_play_context) = (tmp_play_context, self._play_context)
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res = self._execute(variables=task_vars)
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(self._task, tmp_task) = (tmp_task, self._task)
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(self._play_context, tmp_play_context) = (tmp_play_context, self._play_context)
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# now update the result with the item info, and append the result
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# to the list of results
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res[loop_var] = item
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res['_ansible_item_result'] = True
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if label is not None:
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templar = Templar(loader=self._loader, shared_loader_obj=self._shared_loader_obj, variables=self._job_vars)
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res['_ansible_item_label'] = templar.template(label, fail_on_undefined=False)
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self._rslt_q.put(TaskResult(self._host.name, self._task._uuid, res), block=False)
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results.append(res)
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del task_vars[loop_var]
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return results
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def _squash_items(self, items, loop_var, variables):
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'''
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Squash items down to a comma-separated list for certain modules which support it
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(typically package management modules).
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'''
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name = None
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try:
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# _task.action could contain templatable strings (via action: and
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# local_action:) Template it before comparing. If we don't end up
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# optimizing it here, the templatable string might use template vars
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# that aren't available until later (it could even use vars from the
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# with_items loop) so don't make the templated string permanent yet.
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templar = Templar(loader=self._loader, shared_loader_obj=self._shared_loader_obj, variables=variables)
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task_action = self._task.action
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if templar._contains_vars(task_action):
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task_action = templar.template(task_action, fail_on_undefined=False)
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if len(items) > 0 and task_action in self.SQUASH_ACTIONS:
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if all(isinstance(o, string_types) for o in items):
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final_items = []
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for allowed in ['name', 'pkg', 'package']:
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name = self._task.args.pop(allowed, None)
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if name is not None:
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break
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# This gets the information to check whether the name field
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# contains a template that we can squash for
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template_no_item = template_with_item = None
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if name:
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if templar._contains_vars(name):
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variables[loop_var] = '\0$'
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template_no_item = templar.template(name, variables, cache=False)
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variables[loop_var] = '\0@'
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template_with_item = templar.template(name, variables, cache=False)
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del variables[loop_var]
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# Check if the user is doing some operation that doesn't take
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# name/pkg or the name/pkg field doesn't have any variables
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# and thus the items can't be squashed
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if template_no_item != template_with_item:
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for item in items:
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variables[loop_var] = item
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if self._task.evaluate_conditional(templar, variables):
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new_item = templar.template(name, cache=False)
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final_items.append(new_item)
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self._task.args['name'] = final_items
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# Wrap this in a list so that the calling function loop
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# executes exactly once
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return [final_items]
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else:
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# Restore the name parameter
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self._task.args['name'] = name
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#elif:
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# Right now we only optimize single entries. In the future we
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# could optimize more types:
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# * lists can be squashed together
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# * dicts could squash entries that match in all cases except the
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# name or pkg field.
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except:
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# Squashing is an optimization. If it fails for any reason,
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# simply use the unoptimized list of items.
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# Restore the name parameter
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if name is not None:
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self._task.args['name'] = name
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return items
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def _execute(self, variables=None):
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'''
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The primary workhorse of the executor system, this runs the task
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on the specified host (which may be the delegated_to host) and handles
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the retry/until and block rescue/always execution
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'''
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if variables is None:
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variables = self._job_vars
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templar = Templar(loader=self._loader, shared_loader_obj=self._shared_loader_obj, variables=variables)
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context_validation_error = None
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try:
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# apply the given task's information to the connection info,
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# which may override some fields already set by the play or
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# the options specified on the command line
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self._play_context = self._play_context.set_task_and_variable_override(task=self._task, variables=variables, templar=templar)
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# fields set from the play/task may be based on variables, so we have to
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# do the same kind of post validation step on it here before we use it.
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self._play_context.post_validate(templar=templar)
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# now that the play context is finalized, if the remote_addr is not set
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# default to using the host's address field as the remote address
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if not self._play_context.remote_addr:
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self._play_context.remote_addr = self._host.address
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# We also add "magic" variables back into the variables dict to make sure
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# a certain subset of variables exist.
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self._play_context.update_vars(variables)
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except AnsibleError as e:
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# save the error, which we'll raise later if we don't end up
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# skipping this task during the conditional evaluation step
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context_validation_error = e
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# Evaluate the conditional (if any) for this task, which we do before running
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# the final task post-validation. We do this before the post validation due to
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# the fact that the conditional may specify that the task be skipped due to a
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# variable not being present which would otherwise cause validation to fail
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try:
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if not self._task.evaluate_conditional(templar, variables):
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display.debug("when evaluation failed, skipping this task")
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return dict(changed=False, skipped=True, skip_reason='Conditional check failed', _ansible_no_log=self._play_context.no_log)
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except AnsibleError:
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# skip conditional exception in the case of includes as the vars needed might not be avaiable except in the included tasks or due to tags
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if self._task.action in ['include', 'include_role']:
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raise
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# if we ran into an error while setting up the PlayContext, raise it now
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if context_validation_error is not None:
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raise context_validation_error
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# if this task is a TaskInclude, we just return now with a success code so the
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# main thread can expand the task list for the given host
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if self._task.action == 'include':
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include_variables = self._task.args.copy()
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include_file = include_variables.pop('_raw_params', None)
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if not include_file:
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return dict(failed=True, msg="No include file was specified to the include")
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include_file = templar.template(include_file)
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return dict(include=include_file, include_variables=include_variables)
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# TODO: not needed?
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# if this task is a IncludeRole, we just return now with a success code so the main thread can expand the task list for the given host
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elif self._task.action == 'include_role':
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include_variables = self._task.args.copy()
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role = templar.template(self._task._role_name)
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if not role:
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return dict(failed=True, msg="No role was specified to include")
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return dict(include_role=role, include_variables=include_variables)
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# Now we do final validation on the task, which sets all fields to their final values.
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self._task.post_validate(templar=templar)
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if '_variable_params' in self._task.args:
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variable_params = self._task.args.pop('_variable_params')
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if isinstance(variable_params, dict):
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display.deprecated("Using variables for task params is unsafe, especially if the variables come from an external source like facts")
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variable_params.update(self._task.args)
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self._task.args = variable_params
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# get the connection and the handler for this execution
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if not self._connection or not getattr(self._connection, 'connected', False) or self._play_context.remote_addr != self._connection._play_context.remote_addr:
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self._connection = self._get_connection(variables=variables, templar=templar)
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self._connection.set_host_overrides(host=self._host, hostvars=variables.get('hostvars', {}).get(self._host.name, {}))
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else:
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# if connection is reused, its _play_context is no longer valid and needs
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# to be replaced with the one templated above, in case other data changed
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self._connection._play_context = self._play_context
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self._handler = self._get_action_handler(connection=self._connection, templar=templar)
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# And filter out any fields which were set to default(omit), and got the omit token value
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omit_token = variables.get('omit')
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if omit_token is not None:
|
|
self._task.args = dict((i[0], i[1]) for i in iteritems(self._task.args) if i[1] != omit_token)
|
|
|
|
# Read some values from the task, so that we can modify them if need be
|
|
if self._task.until:
|
|
retries = self._task.retries
|
|
if retries is None:
|
|
retries = 3
|
|
elif retries <= 0:
|
|
retries = 1
|
|
else:
|
|
retries += 1
|
|
else:
|
|
retries = 1
|
|
|
|
delay = self._task.delay
|
|
if delay < 0:
|
|
delay = 1
|
|
|
|
# make a copy of the job vars here, in case we need to update them
|
|
# with the registered variable value later on when testing conditions
|
|
vars_copy = variables.copy()
|
|
|
|
display.debug("starting attempt loop")
|
|
result = None
|
|
for attempt in range(1, retries + 1):
|
|
display.debug("running the handler")
|
|
try:
|
|
result = self._handler.run(task_vars=variables)
|
|
except AnsibleConnectionFailure as e:
|
|
return dict(unreachable=True, msg=to_text(e))
|
|
display.debug("handler run complete")
|
|
|
|
# preserve no log
|
|
result["_ansible_no_log"] = self._play_context.no_log
|
|
|
|
# update the local copy of vars with the registered value, if specified,
|
|
# or any facts which may have been generated by the module execution
|
|
if self._task.register:
|
|
vars_copy[self._task.register] = wrap_var(result.copy())
|
|
|
|
if self._task.async > 0:
|
|
if self._task.poll > 0:
|
|
result = self._poll_async_result(result=result, templar=templar, task_vars=vars_copy)
|
|
|
|
# ensure no log is preserved
|
|
result["_ansible_no_log"] = self._play_context.no_log
|
|
|
|
# helper methods for use below in evaluating changed/failed_when
|
|
def _evaluate_changed_when_result(result):
|
|
if self._task.changed_when is not None and self._task.changed_when:
|
|
cond = Conditional(loader=self._loader)
|
|
cond.when = self._task.changed_when
|
|
result['changed'] = cond.evaluate_conditional(templar, vars_copy)
|
|
|
|
def _evaluate_failed_when_result(result):
|
|
if self._task.failed_when:
|
|
cond = Conditional(loader=self._loader)
|
|
cond.when = self._task.failed_when
|
|
failed_when_result = cond.evaluate_conditional(templar, vars_copy)
|
|
result['failed_when_result'] = result['failed'] = failed_when_result
|
|
else:
|
|
failed_when_result = False
|
|
return failed_when_result
|
|
|
|
if 'ansible_facts' in result:
|
|
vars_copy.update(result['ansible_facts'])
|
|
|
|
# set the failed property if the result has a non-zero rc. This will be
|
|
# overridden below if the failed_when property is set
|
|
if result.get('rc', 0) != 0:
|
|
result['failed'] = True
|
|
|
|
# if we didn't skip this task, use the helpers to evaluate the changed/
|
|
# failed_when properties
|
|
if 'skipped' not in result:
|
|
_evaluate_changed_when_result(result)
|
|
_evaluate_failed_when_result(result)
|
|
|
|
if retries > 1:
|
|
cond = Conditional(loader=self._loader)
|
|
cond.when = self._task.until
|
|
if cond.evaluate_conditional(templar, vars_copy):
|
|
break
|
|
else:
|
|
# no conditional check, or it failed, so sleep for the specified time
|
|
if attempt < retries:
|
|
result['attempts'] = attempt
|
|
result['_ansible_retry'] = True
|
|
result['retries'] = retries
|
|
display.debug('Retrying task, attempt %d of %d' % (attempt, retries))
|
|
self._rslt_q.put(TaskResult(self._host.name, self._task._uuid, result), block=False)
|
|
time.sleep(delay)
|
|
else:
|
|
if retries > 1:
|
|
# we ran out of attempts, so mark the result as failed
|
|
result['failed'] = True
|
|
|
|
# do the final update of the local variables here, for both registered
|
|
# values and any facts which may have been created
|
|
if self._task.register:
|
|
variables[self._task.register] = wrap_var(result)
|
|
|
|
if 'ansible_facts' in result:
|
|
variables.update(result['ansible_facts'])
|
|
|
|
# save the notification target in the result, if it was specified, as
|
|
# this task may be running in a loop in which case the notification
|
|
# may be item-specific, ie. "notify: service {{item}}"
|
|
if self._task.notify is not None:
|
|
result['_ansible_notify'] = self._task.notify
|
|
|
|
# add the delegated vars to the result, so we can reference them
|
|
# on the results side without having to do any further templating
|
|
# FIXME: we only want a limited set of variables here, so this is currently
|
|
# hardcoded but should be possibly fixed if we want more or if
|
|
# there is another source of truth we can use
|
|
delegated_vars = variables.get('ansible_delegated_vars', dict()).get(self._task.delegate_to, dict()).copy()
|
|
if len(delegated_vars) > 0:
|
|
result["_ansible_delegated_vars"] = dict()
|
|
for k in ('ansible_host', ):
|
|
result["_ansible_delegated_vars"][k] = delegated_vars.get(k)
|
|
|
|
# and return
|
|
display.debug("attempt loop complete, returning result")
|
|
return result
|
|
|
|
def _poll_async_result(self, result, templar, task_vars=None):
|
|
'''
|
|
Polls for the specified JID to be complete
|
|
'''
|
|
|
|
if task_vars is None:
|
|
task_vars = self._job_vars
|
|
|
|
async_jid = result.get('ansible_job_id')
|
|
if async_jid is None:
|
|
return dict(failed=True, msg="No job id was returned by the async task")
|
|
|
|
# Create a new psuedo-task to run the async_status module, and run
|
|
# that (with a sleep for "poll" seconds between each retry) until the
|
|
# async time limit is exceeded.
|
|
|
|
async_task = Task().load(dict(action='async_status jid=%s' % async_jid))
|
|
|
|
# Because this is an async task, the action handler is async. However,
|
|
# we need the 'normal' action handler for the status check, so get it
|
|
# now via the action_loader
|
|
normal_handler = self._shared_loader_obj.action_loader.get(
|
|
'normal',
|
|
task=async_task,
|
|
connection=self._connection,
|
|
play_context=self._play_context,
|
|
loader=self._loader,
|
|
templar=templar,
|
|
shared_loader_obj=self._shared_loader_obj,
|
|
)
|
|
|
|
time_left = self._task.async
|
|
while time_left > 0:
|
|
time.sleep(self._task.poll)
|
|
|
|
async_result = normal_handler.run(task_vars=task_vars)
|
|
# We do not bail out of the loop in cases where the failure
|
|
# is associated with a parsing error. The async_runner can
|
|
# have issues which result in a half-written/unparseable result
|
|
# file on disk, which manifests to the user as a timeout happening
|
|
# before it's time to timeout.
|
|
if int(async_result.get('finished', 0)) == 1 or ('failed' in async_result and async_result.get('_ansible_parsed', False)) or 'skipped' in async_result:
|
|
break
|
|
|
|
time_left -= self._task.poll
|
|
|
|
if int(async_result.get('finished', 0)) != 1:
|
|
if async_result.get('_ansible_parsed'):
|
|
return dict(failed=True, msg="async task did not complete within the requested time")
|
|
else:
|
|
return dict(failed=True, msg="async task produced unparseable results", async_result=async_result)
|
|
else:
|
|
return async_result
|
|
|
|
def _get_connection(self, variables, templar):
|
|
'''
|
|
Reads the connection property for the host, and returns the
|
|
correct connection object from the list of connection plugins
|
|
'''
|
|
|
|
if self._task.delegate_to is not None:
|
|
# since we're delegating, we don't want to use interpreter values
|
|
# which would have been set for the original target host
|
|
for i in list(variables.keys()):
|
|
if isinstance(i, string_types) and i.startswith('ansible_') and i.endswith('_interpreter'):
|
|
del variables[i]
|
|
# now replace the interpreter values with those that may have come
|
|
# from the delegated-to host
|
|
delegated_vars = variables.get('ansible_delegated_vars', dict()).get(self._task.delegate_to, dict())
|
|
if isinstance(delegated_vars, dict):
|
|
for i in delegated_vars:
|
|
if isinstance(i, string_types) and i.startswith("ansible_") and i.endswith("_interpreter"):
|
|
variables[i] = delegated_vars[i]
|
|
|
|
conn_type = self._play_context.connection
|
|
if conn_type == 'smart':
|
|
conn_type = 'ssh'
|
|
if sys.platform.startswith('darwin') and self._play_context.password:
|
|
# due to a current bug in sshpass on OSX, which can trigger
|
|
# a kernel panic even for non-privileged users, we revert to
|
|
# paramiko on that OS when a SSH password is specified
|
|
conn_type = "paramiko"
|
|
else:
|
|
# see if SSH can support ControlPersist if not use paramiko
|
|
try:
|
|
cmd = subprocess.Popen(['ssh','-o','ControlPersist'], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
|
|
(out, err) = cmd.communicate()
|
|
err = to_text(err)
|
|
if u"Bad configuration option" in err or u"Usage:" in err:
|
|
conn_type = "paramiko"
|
|
except OSError:
|
|
conn_type = "paramiko"
|
|
|
|
connection = self._shared_loader_obj.connection_loader.get(conn_type, self._play_context, self._new_stdin)
|
|
if not connection:
|
|
raise AnsibleError("the connection plugin '%s' was not found" % conn_type)
|
|
|
|
if self._play_context.accelerate:
|
|
# accelerate is deprecated as of 2.1...
|
|
display.deprecated('Accelerated mode is deprecated. Consider using SSH with ControlPersist and pipelining enabled instead')
|
|
# launch the accelerated daemon here
|
|
ssh_connection = connection
|
|
handler = self._shared_loader_obj.action_loader.get(
|
|
'normal',
|
|
task=self._task,
|
|
connection=ssh_connection,
|
|
play_context=self._play_context,
|
|
loader=self._loader,
|
|
templar=templar,
|
|
shared_loader_obj=self._shared_loader_obj,
|
|
)
|
|
|
|
key = key_for_hostname(self._play_context.remote_addr)
|
|
accelerate_args = dict(
|
|
password=base64.b64encode(key.__str__()),
|
|
port=self._play_context.accelerate_port,
|
|
minutes=C.ACCELERATE_DAEMON_TIMEOUT,
|
|
ipv6=self._play_context.accelerate_ipv6,
|
|
debug=self._play_context.verbosity,
|
|
)
|
|
|
|
connection = self._shared_loader_obj.connection_loader.get('accelerate', self._play_context, self._new_stdin)
|
|
if not connection:
|
|
raise AnsibleError("the connection plugin '%s' was not found" % conn_type)
|
|
|
|
try:
|
|
connection._connect()
|
|
except AnsibleConnectionFailure:
|
|
display.debug('connection failed, fallback to accelerate')
|
|
res = handler._execute_module(module_name='accelerate', module_args=accelerate_args, task_vars=variables, delete_remote_tmp=False)
|
|
display.debug(res)
|
|
connection._connect()
|
|
|
|
return connection
|
|
|
|
def _get_action_handler(self, connection, templar):
|
|
'''
|
|
Returns the correct action plugin to handle the requestion task action
|
|
'''
|
|
|
|
if self._task.action in self._shared_loader_obj.action_loader:
|
|
if self._task.async != 0:
|
|
raise AnsibleError("async mode is not supported with the %s module" % self._task.action)
|
|
handler_name = self._task.action
|
|
elif self._task.async == 0:
|
|
handler_name = 'normal'
|
|
else:
|
|
handler_name = 'async'
|
|
|
|
handler = self._shared_loader_obj.action_loader.get(
|
|
handler_name,
|
|
task=self._task,
|
|
connection=connection,
|
|
play_context=self._play_context,
|
|
loader=self._loader,
|
|
templar=templar,
|
|
shared_loader_obj=self._shared_loader_obj,
|
|
)
|
|
|
|
if not handler:
|
|
raise AnsibleError("the handler '%s' was not found" % handler_name)
|
|
|
|
return handler
|