def test_run_plugin_exceptions(self):
"""Verify run_plugin returns exception messages in Queue"""
plugin_data = np.zeros(5) # Use division by zero exception in NormalizePlugin
plugin_config = {'pi': 3.141592654}
plugin_cls = self.get_normalize_plugin()
plugin_process, plugin_queue, exception_queue = model.run_plugin(plugin_cls,
data=plugin_data, config=plugin_config)
exc_type, exc = exception_queue.get(block=True)
self.assertTrue(isinstance(exc, Exception))
def test_run_plugin(self):
"""Verify the main model can run a loaded plugin"""
plugin_data = np.array(self.random_data())
plugin_config = {'pi': 3.141592654}
plugin_cls = self.get_normalize_plugin()
plugin_process, plugin_queue, exception_queue = model.run_plugin(plugin_cls,
data=plugin_data, config=plugin_config)
self.assertTrue(isinstance(plugin_process, multiprocessing.Process))
returned_data = plugin_queue.get()
expected_data = plugin_data / np.max(plugin_data)
self.assertTrue(np.array_equal(expected_data, returned_data))
def run_plugin(self, plugin_cls, **kwargs):
"""Runs plugin of specified class plugin_cls on current data set,
replaces current data and refreshes plot"""
cfg = None
# Instantiate the plugin to see if it has a self.config dict
# that should be configured by the user prior to execution
plugin_instance = plugin_cls()
if hasattr(plugin_instance, "config"):
cfg = self.configure_plugin_dlg(plugin_instance)
if cfg is None:
return
try:
plugin_process, plugin_queue, exception_queue = mainmodel.run_plugin(plugin_cls, self.data, cfg, **kwargs)
except MemoryError as err: # Insufficient memory to run plugin with current data
err_dlg = wx.MessageDialog(self.view, message="Insufficient memory to run plugin.",
caption="Unable To Run Plugin",
style=wx.ICON_ERROR)
err_dlg.ShowModal()
err_dlg.Destroy()
return
keepGoing = True
try:
progress_dlg = wx.ProgressDialog("Running Plugin",
"Please wait, executing plugin...",
parent=self.view,
style=wx.PD_CAN_ABORT)
while keepGoing:
wx.MilliSleep(125)
(keepGoing, skip) = progress_dlg.UpdatePulse()
try:
if not plugin_process.is_alive():
# Catch low-level exceptions thrown by multiprocessing, such as MemoryError
# exceptions raised when attempting to send data through the queue
module_logger.error("Unknown error occurred during plugin execution, plugin terminated")
err_msg = ' '.join(["An unknown error has occurred running the plugin.",
"Please ensure your system has sufficient memory and disk space to process this data.",
"If the problem persists, please contact the plugin's author."])
err_dlg = wx.MessageDialog(self.view, message=err_msg,
caption="Unable To Run Plugin",
style=wx.ICON_ERROR)
err_dlg.ShowModal()
err_dlg.Destroy()
break
exc_type, exc = exception_queue.get(block=False)
err_str = str(exc)
if len(err_str) == 0:
err_str = exc_type.__name__
module_logger.error("Error occurred running plugin: {0}".format(err_str))
err_msg = "An error occurred while running the plugin:\n{0}".format(err_str)
err_dlg = wx.MessageDialog(self.view, message=err_msg,
caption="Unable To Run Plugin",
style=wx.ICON_ERROR)
err_dlg.ShowModal()
err_dlg.Destroy()
break
except Queue.Empty:
pass
try:
returned_data = plugin_queue.get(False)
except Queue.Empty:
continue
if returned_data is not None:
self.model.data = returned_data
break
if not keepGoing:
break
wx.getApp().Yield()
finally:
plugin_process.join()
progress_dlg.Destroy()
def run_plugin(self, plugin_cls, **kwargs):
"""Runs plugin of specified class plugin_cls on current data set,
replaces current data and refreshes plot"""
cfg = None
# Instantiate the plugin to see if it has a self.config dict
# that should be configured by the user prior to execution
plugin_instance = plugin_cls()
if hasattr(plugin_instance, "config"):
cfg = self.configure_plugin_dlg(plugin_instance)
if cfg is None:
return
try:
plugin_process, plugin_queue, exception_queue = mainmodel.run_plugin(
plugin_cls, self.data, cfg, **kwargs)
except MemoryError as err: # Insufficient memory to run plugin with current data
err_dlg = wx.MessageDialog(
self.view,
message="Insufficient memory to run plugin.",
caption="Unable To Run Plugin",
style=wx.ICON_ERROR)
err_dlg.ShowModal()
err_dlg.Destroy()
return
keepGoing = True
try:
progress_dlg = wx.ProgressDialog(
"Running Plugin",
"Please wait, executing plugin...",
parent=self.view,
style=wx.PD_CAN_ABORT)
while keepGoing:
wx.MilliSleep(125)
(keepGoing, skip) = progress_dlg.UpdatePulse()
try:
if not plugin_process.is_alive():
# Catch low-level exceptions thrown by multiprocessing, such as MemoryError
# exceptions raised when attempting to send data through the queue
module_logger.error(
"Unknown error occurred during plugin execution, plugin terminated"
)
err_msg = ' '.join([
"An unknown error has occurred running the plugin.",
"Please ensure your system has sufficient memory and disk space to process this data.",
"If the problem persists, please contact the plugin's author."
])
err_dlg = wx.MessageDialog(
self.view,
message=err_msg,
caption="Unable To Run Plugin",
style=wx.ICON_ERROR)
err_dlg.ShowModal()
err_dlg.Destroy()
break
exc_type, exc = exception_queue.get(block=False)
err_str = str(exc)
if len(err_str) == 0:
err_str = exc_type.__name__
module_logger.error(
"Error occurred running plugin: {0}".format(err_str))
err_msg = "An error occurred while running the plugin:\n{0}".format(
err_str)
err_dlg = wx.MessageDialog(self.view,
message=err_msg,
caption="Unable To Run Plugin",
style=wx.ICON_ERROR)
err_dlg.ShowModal()
err_dlg.Destroy()
break
except Queue.Empty:
pass
try:
returned_data = plugin_queue.get(False)
except Queue.Empty:
continue
if returned_data is not None:
self.model.data = returned_data
break
if not keepGoing:
break
wx.getApp().Yield()
finally:
plugin_process.join()
progress_dlg.Destroy()
