def restart(new_name=None, delay_period=5, **_):
cloudify_agent = ctx.instance.runtime_properties['cloudify_agent']
if new_name is None:
new_name = utils.internal.generate_new_agent_name(
cloudify_agent.get('name', 'agent'))
# update agent name in runtime properties so that the workflow will
# what the name of the worker handling tasks to this instance.
# the update cannot be done by setting a nested property directly
# because they are not recognized as 'dirty'
cloudify_agent['name'] = new_name
ctx.instance.runtime_properties['cloudify_agent'] = cloudify_agent
# must update instance here because the process may shutdown before
# the decorator has a chance to do it.
ctx.instance.update()
daemon = _load_daemon(logger=ctx.logger)
# make the current master stop listening to the current queue
# to avoid a situation where we have two masters listening on the
# same queue.
app.control.cancel_consumer(
queue=daemon.queue,
destination=['celery@{0}'.format(daemon.name)]
)
# clone the current daemon to preserve all the attributes
attributes = utils.internal.daemon_to_dict(daemon)
# give the new daemon the new name
attributes['name'] = new_name
# remove the log file and pid file so that new ones will be created
# for the new agent
del attributes['log_file']
del attributes['pid_file']
# Get the broker credentials for the daemon
attributes.update(ctx.bootstrap_context.broker_config())
new_daemon = DaemonFactory().new(logger=ctx.logger, **attributes)
# create the new daemon
new_daemon.create()
_save_daemon(new_daemon)
# configure the new daemon
new_daemon.configure()
new_daemon.start()
# start a thread that will kill the current master.
# this is done in a thread so that the current task will not result in
# a failure
thread = threading.Thread(target=shutdown_current_master,
args=[delay_period, ctx.logger])
thread.daemon = True
thread.start()
def restart(new_name=None, delay_period=5, **_):
cloudify_agent = ctx.instance.runtime_properties['cloudify_agent']
if new_name is None:
new_name = utils.internal.generate_new_agent_name(
cloudify_agent.get('name', 'agent'))
# update agent name in runtime properties so that the workflow will
# what the name of the worker handling tasks to this instance.
# the update cannot be done by setting a nested property directly
# because they are not recognized as 'dirty'
cloudify_agent['name'] = new_name
ctx.instance.runtime_properties['cloudify_agent'] = cloudify_agent
# must update instance here because the process may shutdown before
# the decorator has a chance to do it.
ctx.instance.update()
daemon = _load_daemon(logger=ctx.logger)
# make the current master stop listening to the current queue
# to avoid a situation where we have two masters listening on the
# same queue.
app = get_celery_app(tenant=cloudify_agent['rest_tenant'])
app.control.cancel_consumer(queue=daemon.queue,
destination=['celery@{0}'.format(daemon.name)])
# clone the current daemon to preserve all the attributes
attributes = utils.internal.daemon_to_dict(daemon)
# give the new daemon the new name
attributes['name'] = new_name
# remove the log file and pid file so that new ones will be created
# for the new agent
del attributes['log_file']
del attributes['pid_file']
# Get the broker credentials for the daemon
attributes.update(ctx.bootstrap_context.broker_config())
new_daemon = DaemonFactory().new(logger=ctx.logger, **attributes)
# create the new daemon
new_daemon.create()
_save_daemon(new_daemon)
# configure the new daemon
new_daemon.configure()
new_daemon.start()
# start a thread that will kill the current master.
# this is done in a thread so that the current task will not result in
# a failure
thread = threading.Thread(target=shutdown_current_master,
args=[delay_period, ctx.logger])
thread.daemon = True
thread.start()
def restart(new_name=None, delay_period=5, **_):
cloudify_agent = ctx.instance.runtime_properties['cloudify_agent']
if new_name is None:
new_name = utils.internal.generate_new_agent_name(
cloudify_agent.get('name', 'agent'))
# update agent name in runtime properties so that the workflow will
# what the name of the worker handling tasks to this instance.
# the update cannot be done by setting a nested property directly
# because they are not recognized as 'dirty'
cloudify_agent['name'] = new_name
update_agent_runtime_properties(cloudify_agent)
daemon = _load_daemon(logger=ctx.logger)
# make the current master stop listening to the current queue
# to avoid a situation where we have two masters listening on the
# same queue.
app = get_celery_app(tenant=ctx.tenant)
app.control.cancel_consumer(queue=daemon.queue,
destination=['celery@{0}'.format(daemon.name)])
# clone the current daemon to preserve all the attributes
attributes = utils.internal.daemon_to_dict(daemon)
# give the new daemon the new name
attributes['name'] = new_name
# remove the log file and pid file so that new ones will be created
# for the new agent
del attributes['log_file']
del attributes['pid_file']
# Get the broker credentials for the daemon
attributes.update(ctx.bootstrap_context.broker_config())
new_daemon = DaemonFactory().new(logger=ctx.logger, **attributes)
# create the new daemon
new_daemon.create()
_save_daemon(new_daemon)
# configure the new daemon
new_daemon.configure()
new_daemon.start()
# ..and stop the old agent
daemon.before_self_stop()
raise StopAgent()