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clustermanager.py
171 lines | 5.8 KiB | text/x-python | PythonLexer
"""Manage IPython.parallel clusters in the notebook.
Authors:
* Brian Granger
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
from tornado import web
from zmq.eventloop import ioloop
from IPython.config.configurable import LoggingConfigurable
from IPython.utils.traitlets import Dict, Instance, CFloat
from IPython.parallel.apps.ipclusterapp import IPClusterStart
from IPython.core.profileapp import list_profiles_in
from IPython.core.profiledir import ProfileDir
from IPython.utils import py3compat
from IPython.utils.path import get_ipython_dir
#-----------------------------------------------------------------------------
# Classes
#-----------------------------------------------------------------------------
class DummyIPClusterStart(IPClusterStart):
"""Dummy subclass to skip init steps that conflict with global app.
Instantiating and initializing this class should result in fully configured
launchers, but no other side effects or state.
"""
def init_signal(self):
pass
def reinit_logging(self):
pass
class ClusterManager(LoggingConfigurable):
profiles = Dict()
delay = CFloat(1., config=True,
help="delay (in s) between starting the controller and the engines")
loop = Instance('zmq.eventloop.ioloop.IOLoop')
def _loop_default(self):
from zmq.eventloop.ioloop import IOLoop
return IOLoop.instance()
def build_launchers(self, profile_dir):
starter = DummyIPClusterStart(log=self.log)
starter.initialize(['--profile-dir', profile_dir])
cl = starter.controller_launcher
esl = starter.engine_launcher
n = starter.n
return cl, esl, n
def get_profile_dir(self, name, path):
p = ProfileDir.find_profile_dir_by_name(path,name=name)
return p.location
def update_profiles(self):
"""List all profiles in the ipython_dir and cwd.
"""
for path in [get_ipython_dir(), py3compat.getcwd()]:
for profile in list_profiles_in(path):
pd = self.get_profile_dir(profile, path)
if profile not in self.profiles:
self.log.debug("Adding cluster profile '%s'" % profile)
self.profiles[profile] = {
'profile': profile,
'profile_dir': pd,
'status': 'stopped'
}
def list_profiles(self):
self.update_profiles()
# sorted list, but ensure that 'default' always comes first
default_first = lambda name: name if name != 'default' else ''
result = [self.profile_info(p) for p in sorted(self.profiles, key=default_first)]
return result
def check_profile(self, profile):
if profile not in self.profiles:
raise web.HTTPError(404, u'profile not found')
def profile_info(self, profile):
self.check_profile(profile)
result = {}
data = self.profiles.get(profile)
result['profile'] = profile
result['profile_dir'] = data['profile_dir']
result['status'] = data['status']
if 'n' in data:
result['n'] = data['n']
return result
def start_cluster(self, profile, n=None):
"""Start a cluster for a given profile."""
self.check_profile(profile)
data = self.profiles[profile]
if data['status'] == 'running':
raise web.HTTPError(409, u'cluster already running')
cl, esl, default_n = self.build_launchers(data['profile_dir'])
n = n if n is not None else default_n
def clean_data():
data.pop('controller_launcher',None)
data.pop('engine_set_launcher',None)
data.pop('n',None)
data['status'] = 'stopped'
def engines_stopped(r):
self.log.debug('Engines stopped')
if cl.running:
cl.stop()
clean_data()
esl.on_stop(engines_stopped)
def controller_stopped(r):
self.log.debug('Controller stopped')
if esl.running:
esl.stop()
clean_data()
cl.on_stop(controller_stopped)
dc = ioloop.DelayedCallback(lambda: cl.start(), 0, self.loop)
dc.start()
dc = ioloop.DelayedCallback(lambda: esl.start(n), 1000*self.delay, self.loop)
dc.start()
self.log.debug('Cluster started')
data['controller_launcher'] = cl
data['engine_set_launcher'] = esl
data['n'] = n
data['status'] = 'running'
return self.profile_info(profile)
def stop_cluster(self, profile):
"""Stop a cluster for a given profile."""
self.check_profile(profile)
data = self.profiles[profile]
if data['status'] == 'stopped':
raise web.HTTPError(409, u'cluster not running')
data = self.profiles[profile]
cl = data['controller_launcher']
esl = data['engine_set_launcher']
if cl.running:
cl.stop()
if esl.running:
esl.stop()
# Return a temp info dict, the real one is updated in the on_stop
# logic above.
result = {
'profile': data['profile'],
'profile_dir': data['profile_dir'],
'status': 'stopped'
}
return result
def stop_all_clusters(self):
for p in self.profiles.keys():
self.stop_cluster(p)