def __init__(self, location):
super(attachmentevaluationStep, self).__init__('Attachment Site Evaluation', location)
self._configured = False # A step cannot be executed until it has been configured.
self._category = 'Anthropometry'
# Add any other initialisation code here:
# Ports:
self.addPort(('http://physiomeproject.org/workflow/1.0/rdf-schema#port',
'http://physiomeproject.org/workflow/1.0/rdf-schema#uses',
'ju#fieldworkmodel'))
self.addPort(('http://physiomeproject.org/workflow/1.0/rdf-schema#port',
'http://physiomeproject.org/workflow/1.0/rdf-schema#provides',
'http://physiomeproject.org/workflow/1.0/rdf-schema#pointclouddict'))
self._config = {}
self._config['identifier'] = ''
self._config['model name'] = 'femur - left'
self._evaluator = Evaluator()
class attachmentevaluationStep(WorkflowStepMountPoint):
'''
Skeleton step which is intended to be a helpful starting point
for new steps.
'''
def __init__(self, location):
super(attachmentevaluationStep, self).__init__('Attachment Site Evaluation', location)
self._configured = False # A step cannot be executed until it has been configured.
self._category = 'Anthropometry'
# Add any other initialisation code here:
# Ports:
self.addPort(('http://physiomeproject.org/workflow/1.0/rdf-schema#port',
'http://physiomeproject.org/workflow/1.0/rdf-schema#uses',
'ju#fieldworkmodel'))
self.addPort(('http://physiomeproject.org/workflow/1.0/rdf-schema#port',
'http://physiomeproject.org/workflow/1.0/rdf-schema#provides',
'http://physiomeproject.org/workflow/1.0/rdf-schema#pointclouddict'))
self._config = {}
self._config['identifier'] = ''
self._config['model name'] = 'femur - left'
self._evaluator = Evaluator()
def execute(self):
'''
Add your code here that will kick off the execution of the step.
Make sure you call the _doneExecution() method when finished. This method
may be connected up to a button in a widget for example.
'''
# Put your execute step code here before calling the '_doneExecution' method.
self._evaluator.model_name = self._config['model name']
self._evaluator.evaluate_attachment_coordinates()
self._doneExecution()
def setPortData(self, index, dataIn):
'''
Add your code here that will set the appropriate objects for this step.
The index is the index of the port in the port list. If there is only one
uses port for this step then the index can be ignored.
'''
self._evaluator.model = dataIn # ju#fieldworkmodel
def getPortData(self, index):
'''
Add your code here that will return the appropriate objects for this step.
The index is the index of the port in the port list. If there is only one
provides port for this step then the index can be ignored.
'''
# http://physiomeproject.org/workflow/1.0/rdf-schema#attachmentcoordinates
# dictionary of {attachment name strings: coordinates list}
return self._evaluator.attachment_coordinates
def configure(self):
'''
This function will be called when the configure icon on the step is
clicked. It is appropriate to display a configuration dialog at this
time. If the conditions for the configuration of this step are complete
then set:
self._configured = True
'''
dlg = ConfigureDialog()
dlg.identifierOccursCount = self._identifierOccursCount
dlg.setConfig(self._config)
dlg.validate()
dlg.setModal(True)
if dlg.exec_():
self._config = dlg.getConfig()
self._configured = dlg.validate()
self._configuredObserver()
def getIdentifier(self):
'''
The identifier is a string that must be unique within a workflow.
'''
return self._config['identifier']
def setIdentifier(self, identifier):
'''
The framework will set the identifier for this step when it is loaded.
'''
self._config['identifier'] = identifier
def serialize(self):
'''
Add code to serialize this step to disk. Returns a json string for
mapclient to serialise.
'''
return json.dumps(self._config, default=lambda o: o.__dict__, sort_keys=True, indent=4)
def deserialize(self, string):
'''
Add code to deserialize this step from disk. Parses a json string
given by mapclient
'''
self._config.update(json.loads(string))
d = ConfigureDialog()
d.identifierOccursCount = self._identifierOccursCount
d.setConfig(self._config)
self._configured = d.validate()
