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ansible/lib/ansible/playbook.py

273 lines
9.7 KiB
Python

# Copyright (c) 2012 Michael DeHaan <michael.dehaan@gmail.com>
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation
# files (the "Software"), to deal in the Software without restriction,
# including without limitation the rights to use, copy, modify, merge,
# publish, distribute, sublicense, and/or sell copies of the Software,
# and to permit persons to whom the Software is furnished to do so,
# subject to the following conditions:
#
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR
# ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
# CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
# WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
import ansible.runner
import ansible.constants as C
import yaml
import shlex
# TODO: make a constants file rather than
# duplicating these
class PlayBook(object):
'''
runs an ansible playbook, given as a datastructure
or YAML filename. a playbook is a deployment, config
management, or automation based set of commands to
run in series.
multiple patterns do not execute simultaneously,
but tasks in each pattern do execute in parallel
according to the number of forks requested.
'''
def __init__(self,
playbook =None,
host_list =C.DEFAULT_HOST_LIST,
module_path =C.DEFAULT_MODULE_PATH,
forks =C.DEFAULT_FORKS,
timeout =C.DEFAULT_TIMEOUT,
remote_user =C.DEFAULT_REMOTE_USER,
remote_pass =C.DEFAULT_REMOTE_PASS,
verbose=False):
# TODO, once ansible-playbook is it's own script this will
# have much LESS parameters to the constructor and will
# read most everything per pattern from the playbook
# and this will be greatly simplified
self.host_list = host_list
self.module_path = module_path
self.forks = forks
self.timeout = timeout
self.remote_user = remote_user
self.remote_pass = remote_pass
self.verbose = verbose
# store the list of changes/invocations/failure counts
# as a dictionary of integers keyed off the hostname
self.processed = {}
self.dark = {}
self.changed = {}
self.invocations = {}
self.failures = {}
# playbook file can be passed in as a path or
# as file contents (to support API usage)
if type(playbook) == str:
playbook = yaml.load(file(playbook).read())
self.playbook = playbook
def run(self):
''' run all patterns in the playbook '''
# loop through all patterns and run them
for pattern in self.playbook:
self._run_pattern(pattern)
if self.verbose:
print "\n"
# summarize the results
results = {}
for host in self.processed.keys():
results[host] = {
'resources' : self.invocations.get(host, 0),
'changed' : self.changed.get(host, 0),
'dark' : self.dark.get(host, 0),
'failed' : self.failures.get(host, 0)
}
return results
def _run_task(self, pattern=None, task=None, host_list=None,
remote_user=None, handlers=None, conditional=False):
'''
run a single task in the playbook and
recursively run any subtasks.
'''
if host_list is None:
# pruned host lists occur when running triggered
# actions where not all hosts have changed
# though top-level tasks will pass in "None" here
host_list = self.host_list
# load the module name and parameters from the task
# entry
instructions = task['do']
(comment, module_details) = instructions
tokens = shlex.split(module_details)
module_name = tokens[0]
module_args = tokens[1:]
# tasks can be direct (run on all nodes matching
# the pattern) or conditional, where they ran
# as the result of a change handler on a subset
# of all of the hosts
if self.verbose:
if not conditional:
print "\nTASK [%s]" % (comment)
else:
print "\nNOTIFIED [%s]" % (comment)
# load up an appropriate ansible runner to
# run the task in parallel
runner = ansible.runner.Runner(
pattern=pattern,
module_name=module_name,
module_args=module_args,
host_list=host_list,
forks=self.forks,
remote_pass=self.remote_pass,
module_path=self.module_path,
timeout=self.timeout,
remote_user=remote_user
)
results = runner.run()
# walk through the results and build up
# summary information about successes and
# failures. TODO: split into subfunction
dark = results.get("dark", [])
contacted = results.get("contacted", [])
ok_hosts = contacted.keys()
for host, msg in dark.items():
self.processed[host] = 1
if self.verbose:
print "unreachable: [%s] => %s" % (host, msg)
if not self.dark.has_key(host):
self.dark[host] = 1
else:
self.dark[host] = self.dark[host] + 1
for host, results in contacted.items():
self.processed[host] = 1
failed = False
if module_name == "command":
if results.get("rc", 0) != 0:
failed=True
elif results.get("failed", 0) == 1:
failed=True
if failed:
if self.verbose:
print "failure: [%s] => %s" % (host, results)
if not self.failures.has_key(host):
self.failures[host] = 1
else:
self.failures[host] = self.failures[host] + 1
else:
if self.verbose:
print "ok: [%s]" % host
if not self.invocations.has_key(host):
self.invocations[host] = 1
else:
self.invocations[host] = self.invocations[host] + 1
if results.get('changed', False):
if not self.changed.has_key(host):
self.changed[host] = 1
else:
self.changed[host] = self.changed[host] + 1
# flag which notify handlers need to be run
# this will be on a SUBSET of the actual host list. For instance
# a file might need to be written on only half of the nodes so
# we would only trigger restarting Apache on half of the nodes
subtasks = task.get('notify', [])
if len(subtasks) > 0:
for host, results in contacted.items():
if results.get('changed', False):
for subtask in subtasks:
self._flag_handler(handlers, subtask, host)
def _flag_handler(self, handlers, match_name, host):
'''
if a task has any notify elements, flag handlers for run
at end of execution cycle for hosts that have indicated
changes have been made
'''
# for all registered handlers in the ansible playbook
# for this particular pattern group
for x in handlers:
attribs = x["do"]
name = attribs[0]
if match_name == name:
# flag the handler with the list of hosts
# it needs to be run on, it will be run later
if not x.has_key("run"):
x['run'] = []
x['run'].append(host)
def _run_pattern(self, pg):
'''
run a list of tasks for a given pattern, in order
'''
# get configuration information about the pattern
pattern = pg['pattern']
tasks = pg['tasks']
handlers = pg['handlers']
user = pg.get('user', C.DEFAULT_REMOTE_USER)
self.host_list = pg.get('hosts', '/etc/ansible/hosts')
if self.verbose:
print "PLAY: [%s] from [%s] ********** " % (pattern, self.host_list)
# run all the top level tasks, these get run on every node
for task in tasks:
self._run_task(
pattern=pattern,
task=task,
handlers=handlers,
remote_user=user)
# handlers only run on certain nodes, they are flagged by _flag_handlers
# above. They only run on nodes when things mark them as changed, and
# handlers only get run once. For instance, the system is designed
# such that multiple config files if changed can ask for an Apache restart
# but Apache will only be restarted once (at the end).
for task in handlers:
if type(task.get("run", None)) == list:
self._run_task(
pattern=pattern,
task=task,
handlers=handlers,
host_list=task.get('run',[]),
conditional=True,
remote_user=user
)
# end of execution for this particular pattern. Multiple patterns
# can be in a single playbook file