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community.general/lib/ansible/executor/task_executor.py
Brian Coca c50cf22d52 deal with null/none connections
fixes #23621
pushed 'connection resolution' to play_context
override fieldattribute getter
2017-05-11 15:46:14 -04:00

802 lines
37 KiB
Python

# (c) 2012-2014, Michael DeHaan <michael.dehaan@gmail.com>
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
# Make coding more python3-ish
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import base64
import time
import traceback
from ansible import constants as C
from ansible.errors import AnsibleError, AnsibleParserError, AnsibleUndefinedVariable, AnsibleConnectionFailure, AnsibleActionFail, AnsibleActionSkip
from ansible.executor.task_result import TaskResult
from ansible.module_utils.six import iteritems, string_types, binary_type
from ansible.module_utils._text import to_text
from ansible.playbook.conditional import Conditional
from ansible.playbook.task import Task
from ansible.plugins.connection import ConnectionBase
from ansible.template import Templar
from ansible.utils.encrypt import key_for_hostname
from ansible.utils.listify import listify_lookup_plugin_terms
from ansible.utils.ssh_functions import check_for_controlpersist
from ansible.utils.unsafe_proxy import UnsafeProxy, wrap_var
try:
from __main__ import display
except ImportError:
from ansible.utils.display import Display
display = Display()
__all__ = ['TaskExecutor']
class TaskExecutor:
'''
This is the main worker class for the executor pipeline, which
handles loading an action plugin to actually dispatch the task to
a given host. This class roughly corresponds to the old Runner()
class.
'''
# Modules that we optimize by squashing loop items into a single call to
# the module
SQUASH_ACTIONS = frozenset(C.DEFAULT_SQUASH_ACTIONS)
def __init__(self, host, task, job_vars, play_context, new_stdin, loader, shared_loader_obj, rslt_q):
self._host = host
self._task = task
self._job_vars = job_vars
self._play_context = play_context
self._new_stdin = new_stdin
self._loader = loader
self._shared_loader_obj = shared_loader_obj
self._connection = None
self._rslt_q = rslt_q
self._loop_eval_error = None
self._task.squash()
def run(self):
'''
The main executor entrypoint, where we determine if the specified
task requires looping and either runs the task with self._run_loop()
or self._execute(). After that, the returned results are parsed and
returned as a dict.
'''
display.debug("in run()")
try:
try:
items = self._get_loop_items()
except AnsibleUndefinedVariable as e:
# save the error raised here for use later
items = None
self._loop_eval_error = e
if items is not None:
if len(items) > 0:
item_results = self._run_loop(items)
# loop through the item results, and remember the changed/failed
# result flags based on any item there.
changed = False
failed = False
for item in item_results:
if 'changed' in item and item['changed']:
changed = True
if 'failed' in item and item['failed']:
failed = True
# create the overall result item, and set the changed/failed
# flags there to reflect the overall result of the loop
res = dict(results=item_results)
if changed:
res['changed'] = True
if failed:
res['failed'] = True
res['msg'] = 'One or more items failed'
else:
res['msg'] = 'All items completed'
else:
res = dict(changed=False, skipped=True, skipped_reason='No items in the list', results=[])
else:
display.debug("calling self._execute()")
res = self._execute()
display.debug("_execute() done")
# make sure changed is set in the result, if it's not present
if 'changed' not in res:
res['changed'] = False
def _clean_res(res, errors='surrogate_or_strict'):
if isinstance(res, UnsafeProxy):
return res._obj
elif isinstance(res, binary_type):
return to_text(res, errors=errors)
elif isinstance(res, dict):
for k in res:
try:
res[k] = _clean_res(res[k], errors=errors)
except UnicodeError:
if k == 'diff':
# If this is a diff, substitute a replacement character if the value
# is undecodable as utf8. (Fix #21804)
display.warning("We were unable to decode all characters in the module return data."
" Replaced some in an effort to return as much as possible")
res[k] = _clean_res(res[k], errors='surrogate_then_replace')
else:
raise
elif isinstance(res, list):
for idx,item in enumerate(res):
res[idx] = _clean_res(item, errors=errors)
return res
display.debug("dumping result to json")
res = _clean_res(res)
display.debug("done dumping result, returning")
return res
except AnsibleError as e:
return dict(failed=True, msg=to_text(e, nonstring='simplerepr'))
except Exception as e:
return dict(failed=True, msg='Unexpected failure during module execution.', exception=to_text(traceback.format_exc()), stdout='')
finally:
try:
self._connection.close()
except AttributeError:
pass
except Exception as e:
display.debug(u"error closing connection: %s" % to_text(e))
def _get_loop_items(self):
'''
Loads a lookup plugin to handle the with_* portion of a task (if specified),
and returns the items result.
'''
# save the play context variables to a temporary dictionary,
# so that we can modify the job vars without doing a full copy
# and later restore them to avoid modifying things too early
play_context_vars = dict()
self._play_context.update_vars(play_context_vars)
old_vars = dict()
for k in play_context_vars:
if k in self._job_vars:
old_vars[k] = self._job_vars[k]
self._job_vars[k] = play_context_vars[k]
# get search path for this task to pass to lookup plugins
self._job_vars['ansible_search_path'] = self._task.get_search_path()
templar = Templar(loader=self._loader, shared_loader_obj=self._shared_loader_obj, variables=self._job_vars)
items = None
if self._task.loop:
if self._task.loop in self._shared_loader_obj.lookup_loader:
fail = True
if self._task.loop == 'first_found':
# first_found loops are special. If the item is undefined then we want to fall through to the next value rather than failing.
fail = False
loop_terms = listify_lookup_plugin_terms(terms=self._task.loop_args, templar=templar, loader=self._loader, fail_on_undefined=fail,
convert_bare=False)
if not fail:
loop_terms = [t for t in loop_terms if not templar._contains_vars(t)]
# get lookup
mylookup = self._shared_loader_obj.lookup_loader.get(self._task.loop, loader=self._loader, templar=templar)
# give lookup task 'context' for subdir (mostly needed for first_found)
for subdir in ['template', 'var', 'file']: # TODO: move this to constants?
if subdir in self._task.action:
break
setattr(mylookup,'_subdir', subdir + 's')
# run lookup
items = mylookup.run(terms=loop_terms, variables=self._job_vars, wantlist=True)
else:
raise AnsibleError("Unexpected failure in finding the lookup named '%s' in the available lookup plugins" % self._task.loop)
# now we restore any old job variables that may have been modified,
# and delete them if they were in the play context vars but not in
# the old variables dictionary
for k in play_context_vars:
if k in old_vars:
self._job_vars[k] = old_vars[k]
else:
del self._job_vars[k]
if items:
for idx, item in enumerate(items):
if item is not None and not isinstance(item, UnsafeProxy):
items[idx] = UnsafeProxy(item)
# ensure basedir is always in (dwim already searches here but we need to display it)
if self._loader.get_basedir() not in self._job_vars['ansible_search_path']:
self._job_vars['ansible_search_path'].append(self._loader.get_basedir())
return items
def _run_loop(self, items):
'''
Runs the task with the loop items specified and collates the result
into an array named 'results' which is inserted into the final result
along with the item for which the loop ran.
'''
results = []
# make copies of the job vars and task so we can add the item to
# the variables and re-validate the task with the item variable
#task_vars = self._job_vars.copy()
task_vars = self._job_vars
loop_var = 'item'
label = None
loop_pause = 0
if self._task.loop_control:
# the value may be 'None', so we still need to default it back to 'item'
loop_var = self._task.loop_control.loop_var or 'item'
label = self._task.loop_control.label or ('{{' + loop_var + '}}')
loop_pause = self._task.loop_control.pause or 0
if loop_var in task_vars:
display.warning(u"The loop variable '%s' is already in use. "
u"You should set the `loop_var` value in the `loop_control` option for the task"
u" to something else to avoid variable collisions and unexpected behavior." % loop_var)
ran_once = False
items = self._squash_items(items, loop_var, task_vars)
for item in items:
task_vars[loop_var] = item
# pause between loop iterations
if loop_pause and ran_once:
time.sleep(loop_pause)
else:
ran_once = True
try:
tmp_task = self._task.copy(exclude_parent=True, exclude_tasks=True)
tmp_task._parent = self._task._parent
tmp_play_context = self._play_context.copy()
except AnsibleParserError as e:
results.append(dict(failed=True, msg=to_text(e)))
continue
# now we swap the internal task and play context with their copies,
# execute, and swap them back so we can do the next iteration cleanly
(self._task, tmp_task) = (tmp_task, self._task)
(self._play_context, tmp_play_context) = (tmp_play_context, self._play_context)
res = self._execute(variables=task_vars)
(self._task, tmp_task) = (tmp_task, self._task)
(self._play_context, tmp_play_context) = (tmp_play_context, self._play_context)
# now update the result with the item info, and append the result
# to the list of results
res[loop_var] = item
res['_ansible_item_result'] = True
if label is not None:
templar = Templar(loader=self._loader, shared_loader_obj=self._shared_loader_obj, variables=self._job_vars)
res['_ansible_item_label'] = templar.template(label)
self._rslt_q.put(
TaskResult(
self._host.name,
self._task._uuid,
res,
task_fields=self._task.dump_attrs(),
),
block=False,
)
results.append(res)
del task_vars[loop_var]
return results
def _squash_items(self, items, loop_var, variables):
'''
Squash items down to a comma-separated list for certain modules which support it
(typically package management modules).
'''
name = None
try:
# _task.action could contain templatable strings (via action: and
# local_action:) Template it before comparing. If we don't end up
# optimizing it here, the templatable string might use template vars
# that aren't available until later (it could even use vars from the
# with_items loop) so don't make the templated string permanent yet.
templar = Templar(loader=self._loader, shared_loader_obj=self._shared_loader_obj, variables=variables)
task_action = self._task.action
if templar._contains_vars(task_action):
task_action = templar.template(task_action, fail_on_undefined=False)
if len(items) > 0 and task_action in self.SQUASH_ACTIONS:
if all(isinstance(o, string_types) for o in items):
final_items = []
for allowed in ['name', 'pkg', 'package']:
name = self._task.args.pop(allowed, None)
if name is not None:
break
# This gets the information to check whether the name field
# contains a template that we can squash for
template_no_item = template_with_item = None
if name:
if templar._contains_vars(name):
variables[loop_var] = '\0$'
template_no_item = templar.template(name, variables, cache=False)
variables[loop_var] = '\0@'
template_with_item = templar.template(name, variables, cache=False)
del variables[loop_var]
# Check if the user is doing some operation that doesn't take
# name/pkg or the name/pkg field doesn't have any variables
# and thus the items can't be squashed
if template_no_item != template_with_item:
for item in items:
variables[loop_var] = item
if self._task.evaluate_conditional(templar, variables):
new_item = templar.template(name, cache=False)
final_items.append(new_item)
self._task.args['name'] = final_items
# Wrap this in a list so that the calling function loop
# executes exactly once
return [final_items]
else:
# Restore the name parameter
self._task.args['name'] = name
#elif:
# Right now we only optimize single entries. In the future we
# could optimize more types:
# * lists can be squashed together
# * dicts could squash entries that match in all cases except the
# name or pkg field.
except:
# Squashing is an optimization. If it fails for any reason,
# simply use the unoptimized list of items.
# Restore the name parameter
if name is not None:
self._task.args['name'] = name
return items
def _execute(self, variables=None):
'''
The primary workhorse of the executor system, this runs the task
on the specified host (which may be the delegated_to host) and handles
the retry/until and block rescue/always execution
'''
if variables is None:
variables = self._job_vars
templar = Templar(loader=self._loader, shared_loader_obj=self._shared_loader_obj, variables=variables)
context_validation_error = None
try:
# apply the given task's information to the connection info,
# which may override some fields already set by the play or
# the options specified on the command line
self._play_context = self._play_context.set_task_and_variable_override(task=self._task, variables=variables, templar=templar)
# fields set from the play/task may be based on variables, so we have to
# do the same kind of post validation step on it here before we use it.
self._play_context.post_validate(templar=templar)
# now that the play context is finalized, if the remote_addr is not set
# default to using the host's address field as the remote address
if not self._play_context.remote_addr:
self._play_context.remote_addr = self._host.address
# We also add "magic" variables back into the variables dict to make sure
# a certain subset of variables exist.
self._play_context.update_vars(variables)
except AnsibleError as e:
# save the error, which we'll raise later if we don't end up
# skipping this task during the conditional evaluation step
context_validation_error = e
# Evaluate the conditional (if any) for this task, which we do before running
# the final task post-validation. We do this before the post validation due to
# the fact that the conditional may specify that the task be skipped due to a
# variable not being present which would otherwise cause validation to fail
try:
if not self._task.evaluate_conditional(templar, variables):
display.debug("when evaluation is False, skipping this task")
return dict(changed=False, skipped=True, skip_reason='Conditional result was False', _ansible_no_log=self._play_context.no_log)
except AnsibleError:
# loop error takes precedence
if self._loop_eval_error is not None:
raise self._loop_eval_error
# skip conditional exception in the case of includes as the vars needed might not be available except in the included tasks or due to tags
if self._task.action not in ['include', 'include_role']:
raise
# Not skipping, if we had loop error raised earlier we need to raise it now to halt the execution of this task
if self._loop_eval_error is not None:
raise self._loop_eval_error
# if we ran into an error while setting up the PlayContext, raise it now
if context_validation_error is not None:
raise context_validation_error
# if this task is a TaskInclude, we just return now with a success code so the
# main thread can expand the task list for the given host
if self._task.action == 'include':
include_variables = self._task.args.copy()
include_file = include_variables.pop('_raw_params', None)
if not include_file:
return dict(failed=True, msg="No include file was specified to the include")
include_file = templar.template(include_file)
return dict(include=include_file, include_variables=include_variables)
# 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
elif self._task.action == 'include_role':
include_variables = self._task.args.copy()
return dict(include_role=self._task, include_variables=include_variables)
# Now we do final validation on the task, which sets all fields to their final values.
self._task.post_validate(templar=templar)
if '_variable_params' in self._task.args:
variable_params = self._task.args.pop('_variable_params')
if isinstance(variable_params, dict):
display.deprecated("Using variables for task params is unsafe, especially if the variables come from an external source like facts",
version="2.6")
variable_params.update(self._task.args)
self._task.args = variable_params
# get the connection and the handler for this execution
if (not self._connection or
not getattr(self._connection, 'connected', False) or
self._play_context.remote_addr != self._connection._play_context.remote_addr):
self._connection = self._get_connection(variables=variables, templar=templar)
hostvars = variables.get('hostvars', None)
# only template the vars if the connection actually implements set_host_overrides
# NB: this is expensive, and should be removed once connection-specific vars are being handled by play_context
sho_impl = getattr(type(self._connection), 'set_host_overrides', None)
if hostvars and sho_impl and sho_impl != ConnectionBase.set_host_overrides:
try:
target_hostvars = hostvars.get(self._host.name)
except:
# FIXME: this should catch the j2undefined error here
# specifically instead of all exceptions
target_hostvars = dict()
self._connection.set_host_overrides(host=self._host, hostvars=target_hostvars)
else:
# if connection is reused, its _play_context is no longer valid and needs
# to be replaced with the one templated above, in case other data changed
self._connection._play_context = self._play_context
self._handler = self._get_action_handler(connection=self._connection, templar=templar)
# And filter out any fields which were set to default(omit), and got the omit token value
omit_token = variables.get('omit')
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 AnsibleActionSkip as e:
return dict(skipped=True, msg=to_text(e))
except AnsibleActionFail as e:
return dict(failed=True, msg=to_text(e))
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 and not result.get('skipped') and not result.get('failed'):
result = self._poll_async_result(result=result, templar=templar, task_vars=vars_copy)
#FIXME callback 'v2_runner_on_async_poll' here
# 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:
if not C.NAMESPACE_FACTS:
vars_copy.update(result['ansible_facts'])
vars_copy.update({'ansible_facts': 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
result['attempts'] = attempt
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['_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, task_fields=self._task.dump_attrs()), block=False)
time.sleep(delay)
else:
if retries > 1:
# we ran out of attempts, so mark the result as failed
result['attempts'] = retries - 1
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:
if not C.NAMESPACE_FACTS:
variables.update(result['ansible_facts'])
variables.update({'ansible_facts': 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 pseudo-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))
#FIXME: this is no longer the case, normal takes care of all, see if this can just be generalized
# 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)
try:
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
except Exception as e:
# Connections can raise exceptions during polling (eg, network bounce, reboot); these should be non-fatal.
# On an exception, call the connection's reset method if it has one
# (eg, drop/recreate WinRM connection; some reused connections are in a broken state)
display.vvvv("Exception during async poll, retrying... (%s)" % to_text(e))
display.debug("Async poll exception was:\n%s" % to_text(traceback.format_exc()))
try:
normal_handler._connection._reset()
except AttributeError:
pass
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]
# if using persistent paramiko connections (or the action has set the FORCE_PERSISTENT_CONNECTION attribute to True),
# then we use the persistent connection plugion. Otherwise load the requested connection plugin
if C.USE_PERSISTENT_CONNECTIONS or getattr(self, 'FORCE_PERSISTENT_CONNECTION', False):
conn_type == 'persistent'
else:
conn_type = self._play_context.connection
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', version='2.6')
# 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
'''
module_prefix = self._task.action.split('_')[0]
# let action plugin override module, fallback to 'normal' action plugin otherwise
if self._task.action in self._shared_loader_obj.action_loader:
handler_name = self._task.action
elif all((module_prefix in C.NETWORK_GROUP_MODULES, module_prefix in self._shared_loader_obj.action_loader)):
handler_name = module_prefix
else:
handler_name = 'normal'
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