def processFunctionStack(self,
callback,
finished=None,
dims=None,
fixed_func=None,
prange=None):
"""
Runs the FunctionManager's loadPreviewData on a background thread to create the partial function stack and
corresponding dictionary for running slice previews and 3D previews.
Parameters
----------
callback : function
function to be called with the return values of manager.loadPreviewData: partial_stack, stack_dict
This function is either self.run3DPreview or self.runSlicePreview
finished : function/QtCore.Slot, optional
Slot to receive the background threads finished signal
dims : typle, optional
Tuple containing dimensions of dataset to be reconstructed
fixed_func : type class
A dynamic class with only the necessary attributes to be run in a workflow pipeline. This is used for
parameter range tests to create the class with the parameter to be run and send it to a background thread.
See FunctionManager.testParameterRange for more details
prange: dict, optional
Dictionary containing parameter being tested for TestParamRange, and the function the parameter belongs to
"""
bg_functionstack = threads.method(callback_slot=callback,
finished_slot=finished,
lock=threads.mutex)(
self.manager.loadPreviewData)
bg_functionstack(self.centerwidget.widget(self.currentIndex()),
dims=dims,
ncore=cpu_count(),
fixed_func=fixed_func,
prange=prange)
def addPulseJob(self, job_type, job_desc, method, args, kwargs):
job_entry = self.addJob(job_type, job_desc)
job_entry.sigRemove.connect(self.removeJob)
job_entry.pulseStart()
bg_method = threads.method(
finished_slot=job_entry.pulseStop,
interrupt_signal=job_entry.sigCancel)(method)
bg_method(*args, **kwargs)
def currentChanged(self, current, previous):
item = self.itemFromIndex(current)
try:
if item.childCount() == 0:
msg.showMessage('Loading preview...')
dataset = item.parent().parent().text(0)
stage = item.parent().text(0)
bg_get_preview = threads.method(
callback_slot=self.sigItemPreview.emit,
except_slot=self.handleException)(self.client.get_image_as)
bg_get_preview(dataset, stage, index=0)
except AttributeError:
pass
def foldPreviewStack(self, partial_stack, initializer, data_dict, callback, error_message):
"""
Calls the managers foldFunctionStack on a background thread. This is what tells the manager to compute a
slice preview or a 3D preview from a specified workflow pipeline
Parameters
----------
partial_stack : list of functools.partial
List of partials that require only the input array to run.
initializer : ndarray
Array to use as initializer for folding operation
callback : function
function to be called with the return value of the fold (ie the resulting reconstruction).
This is the current TomoViewers addSlicePreview or add3DPreview methods
error_message : str
Message to log/display if the fold process raises an exception
"""
except_slot = lambda: msg.showMessage(error_message)
bg_fold = threads.method(callback_slot=callback, finished_slot=msg.clearMessage, lock=threads.mutex,
except_slot=except_slot)
# bg_fold(self.manager.foldFunctionStack)(partial_stack, initializer)
bg_fold(self.manager.foldSliceStack)(partial_stack, data_dict)
def processFunctionStack(self, callback, finished=None, slc=None, fixed_func=None, prange=None):
"""
Runs the FunctionManager's loadPreviewData on a background thread to create the partial function stack and
corresponding dictionary for running slice previews and 3D previews.
Parameters
----------
callback : function
function to be called with the return values of manager.loadPreviewData: partial_stack, stack_dict
This function is either self.run3DPreview or self.runSlicePreview
finished : function/QtCore.Slot, optional
Slot to receive the background threads finished signal
slc : slice
slice object specifying the slices to take from the input tomographic array
fixed_func : type class
A dynamic class with only the necessary attributes to be run in a workflow pipeline. This is used for
parameter range tests to create the class with the parameter to be run and send it to a background thread.
See FunctionManager.testParameterRange for more details
"""
bg_functionstack = threads.method(callback_slot=callback, finished_slot=finished,
lock=threads.mutex)(self.manager.loadPreviewData)
bg_functionstack(self.centerwidget.widget(self.currentWidget()), slc=slc,
ncore=cpu_count(), fixed_func=fixed_func, prange=prange)
def run_wf(self, wf_title):
paw = self._paws[wf_title]
if wf_title == self._current_wf_title():
self.run_wf_button.setText(self._stop_button_text)
# harvest file list and (maybe) PyFAI.AzimuthalIntegrator settings
# from GUI and Xi-cam internal variables, respectively
file_list = []
nfiles = self.batch_list.count()
for r in range(nfiles):
p = self.batch_list.item(r).text()
file_list.append(p)
paw.set_input('Batch Execution', 'input_arrays', [file_list], None,
self._batch_wf_names[wf_title])
if wf_title in ['saxs integrator']:
paw.set_input('Integrator Setup', 'poni_dict',
config.activeExperiment.getAI().getPyFAI(), None,
self._batch_wf_names[wf_title])
#if wfmanager.client is not None:
# wfmanager.run_paws(paw)
#else:
run_off_thread = threads.method()(paw.execute)
run_off_thread(self._batch_wf_names[wf_title])
def getDatasets(self, query):
msg.showMessage('Searching SPOT database...')
search = threads.method(callback_slot=self.createDatasetDictionary,
finished_slot=msg.clearMessage)(
self.client.search)
search(query, **self.search_params)
def addSFTPJob(self, job_desc, method, args, kwargs, finish_slot=None):
job_entry = self.addJob(job_desc)
kwargs['callback'] = job_entry.progressRaw
bg_method = threads.method(finished_slot=finish_slot)(method)
bg_method(*args, **kwargs)
