def open_file(self, path):
f = open(path, 'r')
unpickler = pickle.Unpickler(f)
new_model = unpickler.load()
# update the link back to the controller (ie, self)
for wi in new_model.workflow:
wi.task = self
# and set up the view handlers
for view in wi.views:
view.handler = view.handler_factory(model=view, wi=wi)
# replace the current workflow with the one we just loaded
if False:
from event_tracer import record_events
with record_events() as container:
self.model.workflow[:] = new_model.workflow
self.model.selected = new_model.selected
container.save_to_directory(os.getcwd())
else:
self.model.workflow[:] = new_model.workflow
self.model.selected = new_model.selected
wi = self.model.workflow[0]
while True:
wi.status = "invalid"
with self.worker_lock:
self.to_update.put_nowait((self.model.workflow.index(wi), wi))
if wi.next:
wi = wi.next
else:
break
# check to see if we have a worker thread around
if not self.worker or not self.worker.is_alive():
self.worker = threading.Thread(target=update_model,
args=(self.worker_flag,
self.worker_lock,
self.to_update))
self.worker.daemon = True
self.worker.start()
# start the worker thread processing
with self.worker_lock:
if not self.to_update.empty():
self.worker_flag.set()
def open_file(self, path):
f = open(path, 'r')
unpickler = pickle.Unpickler(f)
new_model = unpickler.load()
# update the link back to the controller (ie, self)
for wi in new_model.workflow:
wi.task = self
# and set up the view handlers
for view in wi.views:
view.handler = view.handler_factory(model = view, wi = wi)
# replace the current workflow with the one we just loaded
if False:
from event_tracer import record_events
with record_events() as container:
self.model.workflow[:] = new_model.workflow
self.model.selected = new_model.selected
container.save_to_directory(os.getcwd())
else:
self.model.workflow[:] = new_model.workflow
self.model.selected = new_model.selected
wi = self.model.workflow[0]
while True:
wi.valid = "invalid"
with self.worker_lock:
self.to_update.put_nowait((self.model.workflow.index(wi), wi))
if wi.next:
wi = wi.next
else:
break
# check to see if we have a worker thread around
if not self.worker or not self.worker.is_alive():
self.worker = threading.Thread(target = update_model,
args = (self.worker_flag,
self.worker_lock,
self.to_update))
self.worker.daemon = True
self.worker.start()
# start the worker thread processing
with self.worker_lock:
if not self.to_update.empty():
self.worker_flag.set()
def open_file(self, path):
f = open(path, 'r')
unpickler = pickle.Unpickler(f)
new_workflow = unpickler.load()
# replace the current workflow with the one we just loaded
if False:
from event_tracer import record_events
with record_events() as container:
self.model.workflow = new_workflow
container.save_to_directory(os.getcwd())
else:
self.model.workflow = new_workflow
def open_file(self, path):
f = open(path, 'r')
unpickler = pickle.Unpickler(f)
try:
version = unpickler.load()
except TraitError:
error(parent=None,
message="This doesn't look like a Cytoflow file. Or maybe "
"you tried to load a workflow older than version "
"0.5?")
return
if version != self.model.version:
ret = confirm(
parent=None,
message="This is Cytoflow {}, but you're trying "
"to load a workflow from version {}. This may or "
"may not work! Are you sure you want to proceed?".format(
self.model.version, version),
title="Load workflow?")
if ret != YES:
return
try:
new_workflow = unpickler.load()
except TraitError:
error(parent=None, message="Error trying to load the workflow.")
return
# replace the current workflow with the one we just loaded
if False: # for debugging the loading of things
from event_tracer import record_events
with record_events() as container:
self.model.workflow = new_workflow
container.save_to_directory(os.getcwd())
else:
self.model.workflow = new_workflow
self.model.modified = False
self.model.workflow[0].operation.changed = "api"
trait3 = Bool
traits_view = View(Group(Item(name='trait1'),
Item(name='trait2'),
Item(name='trait3')))
class TestList(HasTraits):
el = List(TestPageClass)
view = View(
Group(
Item(name='el',
id='table',
#editor = ListEditor()
editor=VerticalNotebookEditor(page_name='.trait1',
view='traits_view',
delete = True)
)),
resizable = True)
from event_tracer import record_events
import os
with record_events() as container:
test = TestList()
test.el.append(TestPageClass(trait1="one", trait2=True))
test.el.append(TestPageClass(trait1="three", trait2=False))
test.configure_traits()
container.save_to_directory(os.getcwd())
def open_file(self, path):
f = open(path, 'r')
unpickler = pickle.Unpickler(f)
try:
version = unpickler.load()
except TraitError:
error(parent=None,
message="This doesn't look like a Cytoflow file. Or maybe "
"you tried to load a workflow older than version "
"0.5?")
return
if version != self.model.version:
ret = confirm(
parent=None,
message="This is Cytoflow {}, but you're trying "
"to load a workflow from version {}. This may or "
"may not work! Are you sure you want to proceed?".format(
self.model.version, version),
title="Load workflow?")
if ret != YES:
return
try:
new_workflow = unpickler.load()
except TraitError:
error(parent=None, message="Error trying to load the workflow.")
return
# a few things to take care of when reloading
for wi_idx, wi in enumerate(new_workflow):
# clear the wi status
wi.status = "invalid"
# re-link the linked list. i thought this would get taken care
# of in deserialization, but i guess not...
if wi_idx > 0:
wi.previous = new_workflow[wi_idx - 1]
# reload the subset lists. i don't know why this is necessary.
for view in wi.views:
subset_list = view.subset_list
view.subset_list = []
for s in subset_list:
view.subset_list.append(s)
subset_list = wi.operation.subset_list
wi.operation.subset_list = []
for s in subset_list:
wi.operation.subset_list.append(s)
# replace the current workflow with the one we just loaded
if False: # for debugging the loading of things
from event_tracer import record_events
with record_events() as container:
self.model.workflow = new_workflow
container.save_to_directory(os.getcwd())
else:
self.model.workflow = new_workflow
self.model.modified = False