def process(self, _edObject=None): EDPluginControl.process(self) self.DEBUG("EDPluginControlDozorv1_0.process") xsDataResultControlDozor = XSDataResultControlDozor() for xsDataFile in self.dataInput.image: 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 = XSDataDouble(5.0) 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(1) strFileName = subWedge.image[0].path.value strPrefix = EDUtilsImage.getPrefix(strFileName) strSuffix = EDUtilsImage.getSuffix(strFileName) strXDSTemplate = "%s_????.%s" % (strPrefix, strSuffix) xsDataInputDozor.nameTemplateImage = XSDataString(os.path.join(os.path.dirname(strFileName), strXDSTemplate)) edPluginDozor = self.loadPlugin(self.strEDPluginDozorName, "Dozor") edPluginDozor.dataInput = xsDataInputDozor edPluginDozor.executeSynchronous() if edPluginDozor.dataOutput.imageDozor != []: xsDataResultDozor = edPluginDozor.dataOutput.imageDozor[0] xsDataControlImageDozor = XSDataControlImageDozor() xsDataControlImageDozor.image = xsDataFile xsDataControlImageDozor.spots_num_of = xsDataResultDozor.spots_num_of xsDataControlImageDozor.spots_int_aver = xsDataResultDozor.spots_int_aver xsDataControlImageDozor.spots_resolution = xsDataResultDozor.spots_resolution xsDataControlImageDozor.powder_wilson_scale = xsDataResultDozor.powder_wilson_scale xsDataControlImageDozor.powder_wilson_bfactor = xsDataResultDozor.powder_wilson_bfactor xsDataControlImageDozor.powder_wilson_resolution = xsDataResultDozor.powder_wilson_resolution xsDataControlImageDozor.powder_wilson_correlation = xsDataResultDozor.powder_wilson_correlation xsDataControlImageDozor.powder_wilson_rfactor = xsDataResultDozor.powder_wilson_rfactor xsDataControlImageDozor.score = xsDataResultDozor.score xsDataResultControlDozor.addImageDozor(xsDataControlImageDozor) self.dataOutput = xsDataResultControlDozor
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)
def process(self, _edObject=None): EDPluginControl.process(self) self.DEBUG("EDPluginControlDozorv1_0.process") 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 batchSize = ispybDataCollection.numberOfImages 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 = 1 else: batchSize = self.dataInput.batchSize.value dictImage = self.createImageDict(self.dataInput) listAllBatches = self.createListOfBatches(dictImage.keys(), batchSize) if dictImage[listAllBatches[0][0]].path.value.endswith("h5"): # Convert HDF5 images to CBF self.cbfTempDir = tempfile.mkdtemp(prefix="CbfTemp_") dictImage, self.hasHdf5Prefix = self.convertToCBF(dictImage) 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.executeSynchronous() indexImage = 0 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 xsDataResultControlDozor.halfDoseTime = edPluginDozor.dataOutput.halfDoseTime self.dataOutput = xsDataResultControlDozor if self.cbfTempDir is not None: shutil.rmtree(self.cbfTempDir)
def process(self, _edObject=None): EDPluginControl.process(self) self.DEBUG("EDPluginControlDozorv1_1.process") msg = "EDPluginControlDozorXmlRpcv1_0 started..." self.sendMessageToMXCuBE("Processing started...", "info") xsDataResultControlDozor = XSDataResultControlDozor() firstFileName = self.dataInput.template.value % ( self.dataInput.first_run_number.value, self.dataInput.first_image_number.value) fWaitFileTimeout = 180 #sec self.waitFileFirst = self.loadPlugin("EDPluginMXWaitFilev1_1", "MXWaitFileFirst") xsDataInputMXWaitFileFirst = XSDataInputMXWaitFile() xsDataInputMXWaitFileFirst.file = XSDataFile( XSDataString(firstFileName)) xsDataInputMXWaitFileFirst.timeOut = XSDataTime(fWaitFileTimeout) self.waitFileFirst.size = XSDataInteger(1000000) self.waitFileFirst.dataInput = xsDataInputMXWaitFileFirst self.waitFileFirst.executeSynchronous() if self.waitFileFirst.dataOutput.timedOut.value: strWarningMessage = "Timeout after %d seconds waiting for the first image %s!" % ( fWaitFileTimeout, firstFileName) #self.addWarningMessage(strWarningMessage) #self.WARNING(strWarningMessage) #self.sendMessageToMXCuBE(strWarningMessage, "error") edPluginControlReadImageHeader = self.loadPlugin( self.strEDPluginControlReadImageHeaderName) xsDataInputReadImageHeader = XSDataInputReadImageHeader() xsDataInputReadImageHeader.image = XSDataFile( XSDataString(firstFileName)) 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 = XSDataDouble(3.0) xsDataInputDozor.detectorDistance = XSDataDouble( detector.distance.value) xsDataInputDozor.wavelength = XSDataDouble(beam.wavelength.value) orgx = detector.beamPositionY.value / detector.pixelSizeY.value orgy = detector.beamPositionX.value / detector.pixelSizeX.value xsDataInputDozor.orgx = XSDataDouble(orgx) xsDataInputDozor.orgy = XSDataDouble(orgy) # GB: the 50 might need tunig to CPU speed and number of. 2000 is a current limit of Dozor. self.maxChunkSize = 4000 #a min (150 * 2527 * 2463 /detector.numberPixelX.value / detector.numberPixelY.value, 2000) _beamstop = self.beamstop(detector) if _beamstop is not None: #self.WARNING("Setting beamstop shadow: %s"%_beamstop) xsDataInputDozor.ixMin = XSDataInteger(_beamstop['ix_min']) xsDataInputDozor.iyMin = XSDataInteger(_beamstop['iy_min']) xsDataInputDozor.ixMax = XSDataInteger(_beamstop['ix_max']) xsDataInputDozor.iyMax = XSDataInteger(_beamstop['iy_max']) if self.dataInput.pixelMin is not None: xsDataInputDozor.pixelMin = self.dataInput.pixelMin if self.dataInput.pixelMax is not None: xsDataInputDozor.pixelMax = self.dataInput.pixelMax _serial = 0 _startTime = time.time() chunk_list = self.schedule(goniostat.rotationAxisStart.value, goniostat.oscillationWidth.value) for chunk in chunk_list: if not self.poll_file( self.dataInput.template.value % (chunk['run_number'], chunk['first'] + chunk['number_of'] - 1), (beam.exposureTime.value + 0.003) * chunk['number_of'] + 30): self.sendMessageToMXCuBE("Timeout waiting for frame: %d" % (chunk['first'] + chunk['number_of']), level="error") return xsDataInputDozor.oscillationRange = XSDataDouble( chunk['rotation_range']) xsDataInputDozor.startingAngle = XSDataDouble( chunk['rotation_start']) xsDataInputDozor.firstImageNumber = XSDataInteger(chunk['first']) xsDataInputDozor.numberImages = XSDataInteger(chunk['number_of']) strFileName = self.dataInput.template.value % (chunk['run_number'], chunk['first']) strXDSTemplate = EDUtilsImage.getTemplate(strFileName, '?') xsDataInputDozor.nameTemplateImage = XSDataString( os.path.join(os.path.dirname(strFileName), strXDSTemplate)) edPluginDozor = self.loadPlugin(self.strEDPluginDozorName, "Dozor") edPluginDozor.dataInput = xsDataInputDozor edPluginDozor.executeSynchronous() xsDataChunkResultControlImageDozor = XSDataResultControlDozor() dozor_batch_list = [] #[[1,4,3,8,6], #[2, 5, 3, 3, 7],[1, 3, 12, 11, 4],[4, 2, 3, 5, 7]] #ozor_image_dict = {} diff_image_count = 0 xsDataControlImageDozor = XSDataControlImageDozor() for xsDataResultDozor in edPluginDozor.dataOutput.imageDozor: xsDataControlImageDozor = XSDataControlImageDozor() xsDataControlImageDozor.number = xsDataResultDozor.number strFileName = self.dataInput.template.value % ( chunk['run_number'], xsDataControlImageDozor.number.value) xsDataControlImageDozor.image = XSDataFile( XSDataString(strFileName)) xsDataControlImageDozor.spots_num_of = xsDataResultDozor.spots_num_of xsDataControlImageDozor.spots_int_aver = xsDataResultDozor.spots_int_aver xsDataControlImageDozor.spots_resolution = xsDataResultDozor.spots_resolution xsDataControlImageDozor.powder_wilson_scale = xsDataResultDozor.powder_wilson_scale xsDataControlImageDozor.powder_wilson_bfactor = xsDataResultDozor.powder_wilson_bfactor xsDataControlImageDozor.powder_wilson_resolution = xsDataResultDozor.powder_wilson_resolution xsDataControlImageDozor.powder_wilson_correlation = xsDataResultDozor.powder_wilson_correlation xsDataControlImageDozor.powder_wilson_rfactor = xsDataResultDozor.powder_wilson_rfactor xsDataControlImageDozor.score = xsDataResultDozor.score xsDataResultControlDozor.addImageDozor(xsDataControlImageDozor) dozor_batch_list.append( (xsDataControlImageDozor.number.getValue(), xsDataControlImageDozor.spots_num_of.getValue(), xsDataControlImageDozor.spots_int_aver.getValue(), xsDataControlImageDozor.spots_resolution.getValue(), xsDataControlImageDozor.score.getValue())) if xsDataControlImageDozor.spots_num_of.getValue() > 0: diff_image_count += 1 xsDataChunkResultControlImageDozor.addImageDozor( xsDataControlImageDozor) xsDataChunkResultControlImageDozor.exportToFile( "ResultControlDozor_Chunk_%06d.xml" % _serial) self.sendResultToMXCuBE(dozor_batch_list) _serial += 1 self.screen("Chunk %d/%d done in %.3f seconds" % \ (_serial, len(chunk_list), time.time()-_startTime)) self.sendMessageToMXCuBE("Chunk %d/%d done in %.2f sec., num diffr. frames: %d/%d" % \ (_serial, len(chunk_list), time.time() - _startTime, diff_image_count, len(dozor_batch_list) ) ) _startTime = time.time()