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Save the command line arguments into a global context

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* Once cli args are parsed, they're constant.  So, save the parsed args
  into the global context for everyone else to use them from now on.
* Port cli scripts to use the CLIARGS in the context
* Refactor call to parse cli args into the run() method
* Fix unittests for changes to the internals of CLI arg parsing
* Port callback plugins to use context.CLIARGS
  * Got rid of the private self._options attribute
  * Use context.CLIARGS in the individual callback plugins instead.
  * Also output positional arguments in default and unixy plugins
  * Code has been simplified since we're now dealing with a dict rather
    than Optparse.Value
This commit is contained in:
Toshio Kuratomi 2018-12-17 18:10:59 -08:00
parent c18da65089
commit afdbb0d9d5
36 changed files with 1033 additions and 868 deletions
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15
lib/ansible/executor/task_queue_manager.py
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@ -24,6 +24,7 @@ import os
import tempfile
from ansible import constants as C
from ansible import context
from ansible.errors import AnsibleError
from ansible.executor.play_iterator import PlayIterator
from ansible.executor.stats import AggregateStats
@ -65,25 +66,25 @@ class TaskQueueManager:
RUN_FAILED_BREAK_PLAY = 8
RUN_UNKNOWN_ERROR = 255
def __init__(self, inventory, variable_manager, loader, options, passwords, stdout_callback=None, run_additional_callbacks=True, run_tree=False):
def __init__(self, inventory, variable_manager, loader, passwords, stdout_callback=None, run_additional_callbacks=True, run_tree=False, forks=None):
self._inventory = inventory
self._variable_manager = variable_manager
self._loader = loader
self._options = options
self._stats = AggregateStats()
self.passwords = passwords
self._stdout_callback = stdout_callback
self._run_additional_callbacks = run_additional_callbacks
self._run_tree = run_tree
self._forks = forks or 5
self._callbacks_loaded = False
self._callback_plugins = []
self._start_at_done = False
# make sure any module paths (if specified) are added to the module_loader
if options.module_path:
for path in options.module_path:
if context.CLIARGS.get('module_path', False):
for path in context.CLIARGS['module_path']:
if path:
module_loader.add_directory(path)
@ -214,7 +215,7 @@ class TaskQueueManager:
loader=self._loader,
)
play_context = PlayContext(new_play, self._options, self.passwords, self._connection_lockfile.fileno())
play_context = PlayContext(new_play, self.passwords, self._connection_lockfile.fileno())
if (self._stdout_callback and
hasattr(self._stdout_callback, 'set_play_context')):
self._stdout_callback.set_play_context(play_context)
@ -239,7 +240,7 @@ class TaskQueueManager:
)
# adjust to # of workers to configured forks or size of batch, whatever is lower
self._initialize_processes(min(self._options.forks, iterator.batch_size))
self._initialize_processes(min(self._forks, iterator.batch_size))
# load the specified strategy (or the default linear one)
strategy = strategy_loader.get(new_play.strategy, self)
@ -259,7 +260,7 @@ class TaskQueueManager:
# during initialization, the PlayContext will clear the start_at_task
# field to signal that a matching task was found, so check that here
# and remember it so we don't try to skip tasks on future plays
if getattr(self._options, 'start_at_task', None) is not None and play_context.start_at_task is None:
if context.CLIARGS.get('start_at_task') is not None and play_context.start_at_task is None:
self._start_at_done = True
# and run the play using the strategy and cleanup on way out