def process(self, _edObject=None):
EDPluginControl.process(self)
self.DEBUG("EDPluginControlDozorv1_0.process")
self.sendMessageToMXCuBE("Processing started...", "info")
EDUtilsParallel.initializeNbThread()
xsDataResultControlDozor = XSDataResultControlDozor()
# Check if connection to ISPyB needed
if self.dataInput.dataCollectionId is not None:
edPluginRetrieveDataCollection = self.loadPlugin("EDPluginISPyBRetrieveDataCollectionv1_4")
xsDataInputRetrieveDataCollection = XSDataInputRetrieveDataCollection()
xsDataInputRetrieveDataCollection.dataCollectionId = self.dataInput.dataCollectionId
edPluginRetrieveDataCollection.dataInput = xsDataInputRetrieveDataCollection
edPluginRetrieveDataCollection.executeSynchronous()
ispybDataCollection = edPluginRetrieveDataCollection.dataOutput.dataCollection
if self.batchSize is None:
batchSize = ispybDataCollection.numberOfImages
else:
batchSize = self.batchSize
if batchSize > self.maxBatchSize:
batchSize = self.maxBatchSize
if abs(ispybDataCollection.overlap) > 1:
self.hasOverlap = True
self.overlap = ispybDataCollection.overlap
dictImage = self.createImageDictFromISPyB(ispybDataCollection)
else:
# No connection to ISPyB, take parameters from input
if self.dataInput.batchSize is None:
batchSize = self.maxBatchSize
else:
batchSize = self.dataInput.batchSize.value
dictImage = self.createImageDict(self.dataInput)
self.screen("Dozor batch size: {0}".format(batchSize))
if self.dataInput.hdf5BatchSize is not None:
self.hdf5BatchSize = self.dataInput.hdf5BatchSize.value
listAllBatches = self.createListOfBatches(dictImage.keys(), batchSize)
if dictImage[listAllBatches[0][0]].path.value.endswith("h5"):
# Convert HDF5 images to CBF
self.screen("HDF5 converter batch size: {0}".format(self.batchSize))
if self.doRadiationDamage:
self.cbfTempDir = None
else:
self.cbfTempDir = tempfile.mkdtemp(prefix="CbfTemp_")
listHdf5Batches = self.createListOfBatches(dictImage.keys(), self.batchSize)
dictImage, self.hasHdf5Prefix = self.convertToCBF(dictImage, listHdf5Batches, self.doRadiationDamage)
for listBatch in listAllBatches:
# Read the header from the first image in the batch
xsDataFile = dictImage[listBatch[0]]
edPluginControlReadImageHeader = self.loadPlugin(self.strEDPluginControlReadImageHeaderName)
xsDataInputReadImageHeader = XSDataInputReadImageHeader()
xsDataInputReadImageHeader.image = xsDataFile
edPluginControlReadImageHeader.dataInput = xsDataInputReadImageHeader
edPluginControlReadImageHeader.executeSynchronous()
subWedge = edPluginControlReadImageHeader.dataOutput.subWedge
xsDataInputDozor = XSDataInputDozor()
beam = subWedge.experimentalCondition.beam
detector = subWedge.experimentalCondition.detector
goniostat = subWedge.experimentalCondition.goniostat
xsDataInputDozor.detectorType = detector.type
xsDataInputDozor.exposureTime = XSDataDouble(beam.exposureTime.value)
xsDataInputDozor.spotSize = XSDataInteger(3)
xsDataInputDozor.detectorDistance = XSDataDouble(detector.distance.value)
xsDataInputDozor.wavelength = XSDataDouble(beam.wavelength.value)
# xsDataInputDozor.fractionPolatization : XSDataDouble optional
orgx = detector.beamPositionY.value / detector.pixelSizeY.value
orgy = detector.beamPositionX.value / detector.pixelSizeX.value
xsDataInputDozor.orgx = XSDataDouble(orgx)
xsDataInputDozor.orgy = XSDataDouble(orgy)
xsDataInputDozor.oscillationRange = XSDataDouble(goniostat.oscillationWidth.value)
# xsDataInputDozor.imageStep : XSDataDouble optional
xsDataInputDozor.startingAngle = XSDataDouble(goniostat.rotationAxisStart.value)
xsDataInputDozor.firstImageNumber = subWedge.image[0].number
xsDataInputDozor.numberImages = XSDataInteger(len(listBatch))
if self.hasOverlap:
xsDataInputDozor.overlap = XSDataAngle(self.overlap)
strFileName = subWedge.image[0].path.value
strPrefix = EDUtilsImage.getPrefix(strFileName)
strSuffix = EDUtilsImage.getSuffix(strFileName)
if EDUtilsPath.isEMBL():
strXDSTemplate = "%s_?????.%s" % (strPrefix, strSuffix)
elif self.hasHdf5Prefix and not self.hasOverlap:
strXDSTemplate = "%s_??????.%s" % (strPrefix, strSuffix)
else:
strXDSTemplate = "%s_????.%s" % (strPrefix, strSuffix)
xsDataInputDozor.nameTemplateImage = XSDataString(os.path.join(os.path.dirname(strFileName), strXDSTemplate))
xsDataInputDozor.wedgeNumber = self.dataInput.wedgeNumber
xsDataInputDozor.radiationDamage = self.dataInput.radiationDamage
edPluginDozor = self.loadPlugin(self.strEDPluginDozorName, "Dozor_%05d" % subWedge.image[0].number.value)
edPluginDozor.dataInput = xsDataInputDozor
edPluginDozor.execute()
edPluginDozor.synchronize()
indexImage = 0
imageDozorBatchList = []
for xsDataResultDozor in edPluginDozor.dataOutput.imageDozor:
xsDataControlImageDozor = XSDataControlImageDozor()
xsDataControlImageDozor.number = xsDataResultDozor.number
xsDataControlImageDozor.image = dictImage[listBatch[indexImage]]
xsDataControlImageDozor.spotsNumOf = xsDataResultDozor.spotsNumOf
xsDataControlImageDozor.spotsIntAver = xsDataResultDozor.spotsIntAver
xsDataControlImageDozor.spotsResolution = xsDataResultDozor.spotsResolution
xsDataControlImageDozor.powderWilsonScale = xsDataResultDozor.powderWilsonScale
xsDataControlImageDozor.powderWilsonBfactor = xsDataResultDozor.powderWilsonBfactor
xsDataControlImageDozor.powderWilsonResolution = xsDataResultDozor.powderWilsonResolution
xsDataControlImageDozor.powderWilsonCorrelation = xsDataResultDozor.powderWilsonCorrelation
xsDataControlImageDozor.powderWilsonRfactor = xsDataResultDozor.powderWilsonRfactor
xsDataControlImageDozor.mainScore = xsDataResultDozor.mainScore
xsDataControlImageDozor.spotScore = xsDataResultDozor.spotScore
xsDataControlImageDozor.visibleResolution = xsDataResultDozor.visibleResolution
xsDataControlImageDozor.spotFile = xsDataResultDozor.spotFile
xsDataControlImageDozor.angle = xsDataResultDozor.angle
xsDataResultControlDozor.addImageDozor(xsDataControlImageDozor)
if xsDataResultControlDozor.inputDozor is None:
xsDataResultControlDozor.inputDozor = XSDataDozorInput().parseString(xsDataInputDozor.marshal())
indexImage += 1
dozorSpotListShape = []
dozorSpotList = []
spotFile = None
if xsDataControlImageDozor.spotFile is not None:
spotFile = xsDataControlImageDozor.spotFile.path.value
if os.path.exists(spotFile):
numpyArray = numpy.loadtxt(spotFile, skiprows=3)
dozorSpotList = base64.b64encode(numpyArray.tostring())
dozorSpotListShape.append(numpyArray.shape[0])
if len(numpyArray.shape) > 1:
dozorSpotListShape.append(numpyArray.shape[1])
imageDozorDict = {"index": xsDataControlImageDozor.number.value,
"imageName": xsDataControlImageDozor.image.path.value,
"dozor_score": xsDataControlImageDozor.mainScore.value,
"dozorSpotsNumOf" : xsDataControlImageDozor.spotsNumOf.value,
"dozorSpotFile": spotFile,
"dozorSpotList" : dozorSpotList,
"dozorSpotListShape": dozorSpotListShape,
"dozorSpotsIntAver": xsDataControlImageDozor.spotsIntAver.value,
"dozorSpotsResolution": xsDataControlImageDozor.spotsResolution.value
}
imageDozorBatchList.append(imageDozorDict)
xsDataResultControlDozor.halfDoseTime = edPluginDozor.dataOutput.halfDoseTime
xsDataResultControlDozor.pngPlots = edPluginDozor.dataOutput.pngPlots
self.sendResultToMXCuBE(imageDozorBatchList)
self.sendMessageToMXCuBE("Batch processed")
self.dataOutput = xsDataResultControlDozor
if self.cbfTempDir is not None:
if self.dataInput.keepCbfTmpDirectory is not None and self.dataInput.keepCbfTmpDirectory.value:
self.dataOutput.pathToCbfDirectory = XSDataFile(XSDataString(self.cbfTempDir))
else:
shutil.rmtree(self.cbfTempDir)