StartLiveData v1¶

from threading import Thread
import time

def startFakeDAE():
    # This will generate 2000 events roughly every 20ms, so about 50,000 events/sec
    # They will be randomly shared across the 100 spectra
    # and have a time of flight between 10,000 and 20,000
    try:
        FakeISISEventDAE(NPeriods=1,NSpectra=100,Rate=20,NEvents=1000)
    except RuntimeError:
        pass

def captureLive():
    ConfigService.setFacility("TEST_LIVE")

    try:
        # start a Live data listener updating every second, that rebins the data
        # and replaces the results each time with those of the last second.
        StartLiveData(Instrument='ISIS_Event', OutputWorkspace='wsOut', UpdateEvery=1,
                      ProcessingAlgorithm='Rebin', ProcessingProperties='Params=10000,1000,20000;PreserveEvents=1',
                      AccumulationMethod='Add', PreserveEvents=True)

        # give it a couple of seconds before stopping it
        time.sleep(2)
    finally:
        # This will cancel both algorithms
        # you can do the same in the GUI
        # by clicking on the details button on the bottom right
        AlgorithmManager.newestInstanceOf("MonitorLiveData").cancel()
        AlgorithmManager.newestInstanceOf("FakeISISEventDAE").cancel()
        time.sleep(1)
#--------------------------------------------------------------------------------------------------

oldFacility = ConfigService.getFacility().name()
thread = Thread(target = startFakeDAE)
thread.start()
time.sleep(2) # give it a small amount of time to get ready
if not thread.is_alive():
    raise RuntimeError("Unable to start FakeDAE")

try:
    captureLive()
except Exception:
    print("Error occurred starting live data")
finally:
    thread.join() # this must get hit

# put back the facility
ConfigService.setFacility(oldFacility)

#get the output workspace
wsOut = mtd["wsOut"]
print("The workspace contains %i events" % wsOut.getNumberEvents())

from threading import Thread
import time

def startFakeDAE():
    # This will generate 5 periods of histogram data, 10 spectra in each period,
    # 100 bins in each spectrum
    try:
        FakeISISHistoDAE(NPeriods=5,NSpectra=10,NBins=100)
    except RuntimeError:
        pass

def captureLive():
    ConfigService.setFacility("TEST_LIVE")

    try:
        # Start a Live data listener updating every second,
        # that replaces the results each time with those of the last second.
        # Load only spectra 2,4, and 6 from periods 1 and 3
        StartLiveData(Instrument='ISIS_Histogram', OutputWorkspace='wsOut', UpdateEvery=1,
                      AccumulationMethod='Replace', PeriodList=[1,3],SpectraList=[2,4,6])

        # give it a couple of seconds before stopping it
        time.sleep(2)
    finally:
        # This will cancel both algorithms
        # you can do the same in the GUI
        # by clicking on the details button on the bottom right
        AlgorithmManager.newestInstanceOf("MonitorLiveData").cancel()
        AlgorithmManager.newestInstanceOf("FakeISISHistoDAE").cancel()
        time.sleep(1)
#--------------------------------------------------------------------------------------------------

oldFacility = ConfigService.getFacility().name()
thread = Thread(target = startFakeDAE)
thread.start()
time.sleep(2) # give it a small amount of time to get ready
if not thread.is_alive():
    raise RuntimeError("Unable to start FakeDAE")

try:
    captureLive()
except Exception:
    print("Error occurred starting live data")
finally:
    thread.join() # this must get hit

# put back the facility
ConfigService.setFacility(oldFacility)

#get the output workspace
wsOut = mtd["wsOut"]
print("The workspace contains %i periods" % wsOut.getNumberOfEntries())
print("Each period   contains %i spectra" % wsOut.getItem(0).getNumberHistograms())
time.sleep(1)