def __init__(self, data_queue_in):
BackendWorker.__init__(self)
self._lock = Lock()
self._data_queue_in = data_queue_in
self._reducer = BasicPowderDiffraction()
self._filter_pulses = False
self._create_workspace_from_events_transition = CreateMantidWorkspaceFromEventsTransition()
self._reduction_transition = ReductionTransition(self._create_workspace_from_events_transition, self._reducer)
self._reduction_transition.accumulate_data = True
self._filter_transition = MantidFilterTransition(self._reduction_transition)
self._filter_transition.accumulate_data = True
self._rebin_transition = MantidRebinTransition(self._filter_transition)
self._gather_histogram_transition = GatherHistogramTransition(self._rebin_transition)
self._gather_histogram_transition.accumulate_data = True
class BackendMantidReducer(BackendWorker):
def __init__(self, data_queue_in):
BackendWorker.__init__(self)
self._lock = Lock()
self._data_queue_in = data_queue_in
self._reducer = BasicPowderDiffraction()
self._filter_pulses = False
self._create_workspace_from_events_transition = CreateMantidWorkspaceFromEventsTransition()
self._reduction_transition = ReductionTransition(self._create_workspace_from_events_transition, self._reducer)
self._reduction_transition.accumulate_data = True
self._filter_transition = MantidFilterTransition(self._reduction_transition)
self._filter_transition.accumulate_data = True
self._rebin_transition = MantidRebinTransition(self._filter_transition)
self._gather_histogram_transition = GatherHistogramTransition(self._rebin_transition)
self._gather_histogram_transition.accumulate_data = True
def _process_command(self, command):
setattr(self, command[0], command[1])
def _can_process_data(self):
if self._data_queue_in:
return True
else:
return False
def _process_data(self):
if not self._data_queue_in:
return False
header, data = self._data_queue_in.get()
if header == 'meta_data':
return self._process_meta_data(data)
else:
return self._process_event_data(data)
def _process_meta_data(self, data):
data = json.loads(data)
self._pulse_time = str(data['pulse_time'])
payload = data['payload']
lattice_spacing = float(payload['unit_cell'].split()[0])
self._create_workspace_from_events_transition.set_log_data({'lattice_spacing':lattice_spacing})
self._drop_pulse = abs(lattice_spacing - 5.431) > 0.01
log.debug('Received meta data {}, ignoring.'.format(data['payload']))
return True
def _process_event_data(self, data):
if self._filter_pulses and self._drop_pulse:
return True
event_data = numpy.frombuffer(data, dtype={'names':['detector_id', 'tof'], 'formats':['int32','float32']})
self._lock.acquire()
self._create_workspace_from_events_transition.process(event_data, self._pulse_time)
self._lock.release()
return True
def get_bin_boundaries(self):
return self._rebin_transition.get_checkpoint()[-1].data.readX(0)
def get_bin_values(self):
return self._rebin_transition.get_checkpoint()[-1].data.readY(0)
def get_parameter_dict(self):
return {'bin_parameters':'str', 'filter_interval_parameters':'str', 'filter_pulses':'bool'}
@property
def bin_parameters(self):
return self._rebin_transition._bin_parameters
@bin_parameters.setter
def bin_parameters(self, parameters):
self._lock.acquire()
self._rebin_transition.set_bin_parameters(parameters)
self._lock.release()
@property
def filter_pulses(self):
return self._filter_pulses
@filter_pulses.setter
def filter_pulses(self, filter_pulses):
self._filter_pulses = filter_pulses
self._splitting_transition.next()
@property
def filter_interval_parameters(self):
return 'min,step,max'
@filter_interval_parameters.setter
def filter_interval_parameters(self, parameters):
self._lock.acquire()
self._filter_transition.set_interval_parameters(parameters)
self._lock.release()
