def remote_main(parent_workflow_conn, parent_mpl_conn, log_q, running_event):
# this should only ever be main method after a spawn() call
# (not fork). So we should have a fresh logger to set up.
# messages that end up at the root logger to go log_q
from logging.handlers import QueueHandler
h = QueueHandler(log_q)
logging.getLogger().addHandler(h)
# We want matplotlib to use our backend .... in both the GUI and the
# remote process. Must be called BEFORE cytoflow is imported
import matplotlib
matplotlib.use('module://cytoflowgui.matplotlib_backend_remote')
from traits.api import push_exception_handler
from cytoflowgui.workflow import RemoteWorkflow
# install a global (gui) error handler for traits notifications
push_exception_handler(handler=log_notification_handler,
reraise_exceptions=False,
main=True)
sys.excepthook = log_excepthook
# take care of the 3 places in the cytoflow module that
# need different behavior in a GUI
import cytoflow
cytoflow.RUNNING_IN_GUI = True
running_event.set()
RemoteWorkflow().run(parent_workflow_conn, parent_mpl_conn)
def remote_main(parent_workflow_conn, parent_mpl_conn, log_q):
from cytoflowgui.workflow import RemoteWorkflow
# install a global (gui) error handler for traits notifications
push_exception_handler(handler=log_notification_handler,
reraise_exceptions=debug,
main=True)
sys.excepthook = log_excepthook
RemoteWorkflow().run(parent_workflow_conn, parent_mpl_conn, log_q)
def remote_main(parent_workflow_conn, log_q, running_event):
# this should only ever be main method after a spawn() call
# (not fork). So we should have a fresh logger to set up.
# messages that end up at the root logger go to log_q
h = QueueHandler(log_q)
logging.getLogger().addHandler(h)
# make sure that ALL messages get queued in the remote
# process -- we'll filter/handle then in the local
# process
logging.getLogger().setLevel(logging.DEBUG)
running_event.set()
RemoteWorkflow().run(parent_workflow_conn)
def remote_main(parent_workflow_conn, parent_mpl_conn, log_q, running_event):
# We want matplotlib to use our backend .... in both the GUI and the
# remote process. Must be called BEFORE cytoflow is imported
import matplotlib
matplotlib.use('module://cytoflowgui.matplotlib_backend')
from traits.api import push_exception_handler
from cytoflowgui.workflow import RemoteWorkflow
# install a global (gui) error handler for traits notifications
push_exception_handler(handler=log_notification_handler,
reraise_exceptions=False,
main=True)
sys.excepthook = log_excepthook
running_event.set()
RemoteWorkflow().run(parent_workflow_conn, parent_mpl_conn, log_q)
def remote_main(parent_workflow_conn, parent_mpl_conn, log_q, running_event):
# We want matplotlib to use our backend .... in both the GUI and the
# remote process. Must be called BEFORE cytoflow is imported
import matplotlib
matplotlib.use('module://cytoflowgui.matplotlib_backend_remote')
from traits.api import push_exception_handler
from cytoflowgui.workflow import RemoteWorkflow
# install a global (gui) error handler for traits notifications
push_exception_handler(handler = log_notification_handler,
reraise_exceptions = False,
main = True)
sys.excepthook = log_excepthook
# take care of the 3 places in the cytoflow module that
# need different behavior in a GUI
import cytoflow
cytoflow.RUNNING_IN_GUI = True
running_event.set()
RemoteWorkflow().run(parent_workflow_conn, parent_mpl_conn, log_q)
def remote_main(parent_workflow_conn, parent_mpl_conn, log_q,
running_event):
running_event.set()
RemoteWorkflow().run(parent_workflow_conn, parent_mpl_conn, log_q)