def process(self, _edPlugin=None):
"""
Executes the execution plugins
"""
EDPluginControl.process(self, _edPlugin)
EDVerbose.DEBUG("EDPluginControlImageQualityIndicatorsv1_2.process")
EDUtilsParallel.initializeNbThread()
# Check if we should do indexing:
bDoIndexing = False
if self.dataInput.doIndexing is not None:
if self.dataInput.doIndexing.value:
bDoIndexing = True
# Loop through all the incoming reference images
listXSDataImage = self.dataInput.image
xsDataInputWaitFile = XSDataInputWaitFile()
self.xsDataResultControlImageQualityIndicators = XSDataResultControlImageQualityIndicators(
)
listPlugin = []
for xsDataImage in listXSDataImage:
if not os.path.exists(xsDataImage.path.value):
self.screen("Waiting for image %s" % xsDataImage.path.value)
self.edPluginWaitFile = self.loadPlugin(
self.strPluginWaitFileName)
xsDataInputWaitFile.expectedFile = XSDataFile(xsDataImage.path)
xsDataInputWaitFile.setExpectedSize(XSDataInteger(100000))
xsDataInputWaitFile.setTimeOut(
XSDataTime(self.fWaitFileTimeOut))
self.DEBUG("Wait file timeOut set to %f" %
self.fWaitFileTimeOut)
self.edPluginWaitFile.setDataInput(xsDataInputWaitFile)
self.edPluginWaitFile.executeSynchronous()
if not os.path.exists(xsDataImage.path.value):
strError = "Time-out while waiting for image %s" % xsDataImage.path.value
self.error(strError)
self.addErrorMessage(strError)
self.setFailure()
else:
if self.bUseThinClient:
strPluginName = self.strPluginNameThinClient
else:
strPluginName = self.strPluginName
edPluginPluginExecImageQualityIndicator = self.loadPlugin(
strPluginName)
listPlugin.append(edPluginPluginExecImageQualityIndicator)
self.listPluginExecImageQualityIndicator.append(
edPluginPluginExecImageQualityIndicator)
xsDataInputDistlSignalStrength = XSDataInputDistlSignalStrength(
)
xsDataInputDistlSignalStrength.setReferenceImage(xsDataImage)
edPluginPluginExecImageQualityIndicator.setDataInput(
xsDataInputDistlSignalStrength)
edPluginPluginExecImageQualityIndicator.execute()
listIndexing = []
# Synchronize all image quality indicator plugins and upload to ISPyB
xsDataInputStoreListOfImageQualityIndicators = XSDataInputStoreListOfImageQualityIndicators(
)
for edPluginPluginExecImageQualityIndicator in listPlugin:
edPluginPluginExecImageQualityIndicator.synchronize()
xsDataImageQualityIndicators = XSDataImageQualityIndicators.parseString( \
edPluginPluginExecImageQualityIndicator.dataOutput.imageQualityIndicators.marshal())
self.xsDataResultControlImageQualityIndicators.addImageQualityIndicators(
xsDataImageQualityIndicators)
xsDataISPyBImageQualityIndicators = \
XSDataISPyBImageQualityIndicators.parseString(xsDataImageQualityIndicators.marshal())
xsDataInputStoreListOfImageQualityIndicators.addImageQualityIndicators(
xsDataISPyBImageQualityIndicators)
# print xsDataInputStoreListOfImageQualityIndicators.marshal()
self.edPluginISPyB = self.loadPlugin(self.strISPyBPluginName)
self.edPluginISPyB.dataInput = xsDataInputStoreListOfImageQualityIndicators
self.edPluginISPyB.execute()
#
if bDoIndexing:
# Find the 5 most intensive images (TIS):
listImage = []
listSorted = sorted(
self.xsDataResultControlImageQualityIndicators.
imageQualityIndicators,
key=lambda imageQualityIndicators: imageQualityIndicators.
totalIntegratedSignal.value)
for xsDataResultControlImageQualityIndicator in listSorted[-5:]:
if xsDataResultControlImageQualityIndicator.goodBraggCandidates.value > 30:
xsDataInputReadImageHeader = XSDataInputReadImageHeader()
xsDataInputReadImageHeader.image = XSDataFile(
xsDataResultControlImageQualityIndicator.image.path)
self.edPluginReadImageHeader = self.loadPlugin(
self.strPluginReadImageHeaderName)
self.edPluginReadImageHeader.dataInput = xsDataInputReadImageHeader
self.edPluginReadImageHeader.executeSynchronous()
xsDataResultReadImageHeader = self.edPluginReadImageHeader.dataOutput
if xsDataResultReadImageHeader is not None:
xsDataSubWedge = xsDataResultReadImageHeader.subWedge
self.xsDataCollection = XSDataCollection()
self.xsDataCollection.addSubWedge(xsDataSubWedge)
xsDataIndexingInput = XSDataIndexingInput()
xsDataIndexingInput.setDataCollection(
self.xsDataCollection)
xsDataMOSFLMIndexingInput = EDHandlerXSDataMOSFLMv10.generateXSDataMOSFLMInputIndexing(
xsDataIndexingInput)
edPluginMOSFLMIndexing = self.loadPlugin(
self.strIndexingMOSFLMPluginName)
self.listPluginMOSFLM.append([
edPluginMOSFLMIndexing,
xsDataResultControlImageQualityIndicator
])
edPluginMOSFLMIndexing.setDataInput(
xsDataMOSFLMIndexingInput)
edPluginMOSFLMIndexing.execute()
for tupleMOSFLM in self.listPluginMOSFLM:
edPluginMOSFLMIndexing = tupleMOSFLM[0]
xsDataResultControlImageQualityIndicator = tupleMOSFLM[1]
edPluginMOSFLMIndexing.synchronize()
if not edPluginMOSFLMIndexing.isFailure():
xsDataMOSFLMOutput = edPluginMOSFLMIndexing.dataOutput
xsDataIndexingResult = EDHandlerXSDataMOSFLMv10.generateXSDataIndexingResult(
xsDataMOSFLMOutput)
selectedSolution = xsDataIndexingResult.selectedSolution
if selectedSolution is not None:
xsDataResultControlImageQualityIndicator.selectedIndexingSolution = selectedSolution
def preProcess(self, _edObject = None):
EDPluginControl.preProcess(self)
self.DEBUG('EDPluginControlAutoproc.preProcess starting')
self.DEBUG('failure state is currently {0}'.format(self.isFailure()))
# for info to send to the autoproc stats server
self.custom_stats = dict(creation_time=time.time(),
processing_type='edna fastproc',
datacollect_id=self.dataInput.data_collection_id.value,
comments='running on {0}'.format(socket.gethostname()))
data_in = self.dataInput
xds_in = XSDataMinimalXdsIn()
xds_in.input_file = data_in.input_file.path
xds_in.spacegroup = data_in.spacegroup
xds_in.unit_cell = data_in.unit_cell
self.log_file_path = os.path.join(self.root_dir, 'stats.json')
self.DEBUG('will log timing information to {0}'.format(self.log_file_path))
self.stats = dict()
# Get the image prefix from the directory name
# XXX: This is horrible
try:
self.image_prefix = '_'.join(os.path.basename(self.root_dir).split('_')[1:-1])
except Exception:
self.image_prefix = ''
self.results_dir = os.path.join(self.root_dir, 'results', 'fast_processing')
try:
os.makedirs(self.results_dir)
except OSError: # it most likely exists
pass
# Copy the vanilla XDS input file to the results dir
infile_dest = os.path.join(self.results_dir, self.image_prefix + '_input_XDS.INP')
shutil.copy(self.dataInput.input_file.path.value,
infile_dest)
# Ensure the autoproc ids directory is there
self.autoproc_ids_dir = os.path.join(self.results_dir, 'fastproc_integration_ids')
try:
os.makedirs(self.autoproc_ids_dir)
except OSError: # it's there
pass
# we'll need the low res limit later on
lowres = data_in.low_resolution_limit
if lowres is not None:
self.low_resolution_limit = lowres.value
else:
self.low_resolution_limit = 50
res_override = data_in.res_override
if res_override is not None:
self.res_override = res_override.value
else:
# XXX: default to 0?
self.res_override = None
# check the number of images (must be > 8) and get the first
# image name to wait for. Also modify the XDS.INP file to
# reflect these values, if specified
conf = parse_xds_file(data_in.input_file.path.value)
# Make the [XY]-GEO_CORR paths absolute
if 'X-GEO_CORR=' in conf:
xgeo = os.path.abspath(os.path.join(self.root_dir,
conf['X-GEO_CORR='][0]))
if not os.path.exists(xgeo):
self.DEBUG('geometry file {0} does not exist, removing'.format(xgeo))
del conf['X-GEO_CORR=']
else:
conf['X-GEO_CORR='] = xgeo
if 'Y-GEO_CORR=' in conf:
ygeo = os.path.abspath(os.path.join(self.root_dir,
conf['Y-GEO_CORR='][0]))
if not os.path.exists(ygeo):
self.DEBUG('geometry file {0} does not exist, removing'.format(ygeo))
del conf['Y-GEO_CORR=']
else:
conf['Y-GEO_CORR='] = ygeo
dump_xds_file(data_in.input_file.path.value, conf)
resrange = conf.get('INCLUDE_RESOLUTION_RANGE=')
if resrange is not None:
if self.low_resolution_limit is not None:
resrange[0] = self.low_resolution_limit
if self.res_override is not None:
resrange[1] = self.res_override
conf['INCLUDE_RESOLUTION_RANGE='] = resrange
dump_xds_file(data_in.input_file.path.value, conf)
data_range = conf.get('DATA_RANGE=')
# we'll need that for the very last part ( file import )
self.data_range = data_range
if data_range is not None:
start_image = data_range[0]
end_image = data_range[1]
if end_image - start_image < 8:
self.ERROR('there are fewer than 8 images, aborting')
self.setFailure()
return
template = conf['NAME_TEMPLATE_OF_DATA_FRAMES='][0]
self.DEBUG('template for images is {0}'.format(template))
# fix the path if it's not absolute
if not os.path.isabs(template):
self.DEBUG('file template {0} is not absolute'.format(template))
base_dir = os.path.abspath(os.path.dirname(data_in.input_file.path.value))
template = os.path.normpath(os.path.join(self.root_dir, template))
conf['NAME_TEMPLATE_OF_DATA_FRAMES=']=template
self.DEBUG('file template fixed to {0}'.format(template))
self.DEBUG('dumping back the file to {0}'.format(data_in.input_file.path.value))
dump_xds_file(data_in.input_file.path.value, conf)
first_image = _template_to_image(template, start_image)
self.wait_file = self.loadPlugin('EDPluginWaitFile')
waitfileinput = XSDataInputWaitFile()
waitfileinput.expectedFile = XSDataFile()
waitfileinput.expectedFile.path = XSDataString(first_image)
waitfileinput.expectedSize = XSDataInteger(0) # we do not care
timeout = XSDataTime()
global WAIT_FOR_FRAME_TIMEOUT
timeout.value = WAIT_FOR_FRAME_TIMEOUT
waitfileinput.timeOut = timeout
self.wait_file.dataInput = waitfileinput
self.xds_first = self.loadPlugin("EDPluginControlRunXdsFastProc")
self.xds_first.dataInput = xds_in
self.generate = self.loadPlugin("EDPluginXDSGenerate")
self.first_res_cutoff = self.loadPlugin("EDPluginResCutoff")
self.res_cutoff_anom = self.loadPlugin("EDPluginResCutoff")
self.res_cutoff_noanom = self.loadPlugin("EDPluginResCutoff")
self.parse_xds_anom = self.loadPlugin("EDPluginParseXdsOutput")
self.parse_xds_noanom = self.loadPlugin("EDPluginParseXdsOutput")
self.xscale_generate = self.loadPlugin("EDPluginControlXscaleGenerate")
self.store_autoproc_anom = self.loadPlugin('EDPluginISPyBStoreAutoProcv1_4')
self.store_autoproc_noanom = self.loadPlugin('EDPluginISPyBStoreAutoProcv1_4')
self.file_conversion = self.loadPlugin('EDPluginControlAutoprocImport')
self.DEBUG('EDPluginControlAutoproc.preProcess finished')
def process(self, _edPlugin=None):
"""
Executes the execution plugins
"""
EDPluginControl.process(self, _edPlugin)
EDVerbose.DEBUG("EDPluginControlImageQualityIndicatorsv1_3.process")
EDUtilsParallel.initializeNbThread()
# Check if we should do indexing:
bDoIndexing = False
if self.dataInput.doIndexing is not None:
if self.dataInput.doIndexing.value:
bDoIndexing = True
# Loop through all the incoming reference images
listXSDataImage = self.dataInput.image
xsDataInputWaitFile = XSDataInputWaitFile()
self.xsDataResultControlImageQualityIndicators = XSDataResultControlImageQualityIndicators()
listPlugin = []
for xsDataImage in listXSDataImage:
if not os.path.exists(xsDataImage.path.value):
self.screen("Waiting for image %s" % xsDataImage.path.value)
self.edPluginWaitFile = self.loadPlugin(self.strPluginWaitFileName)
xsDataInputWaitFile.expectedFile = XSDataFile(xsDataImage.path)
xsDataInputWaitFile.setExpectedSize(XSDataInteger(100000))
xsDataInputWaitFile.setTimeOut(XSDataTime(self.fWaitFileTimeOut))
self.DEBUG("Wait file timeOut set to %f" % self.fWaitFileTimeOut)
self.edPluginWaitFile.setDataInput(xsDataInputWaitFile)
self.edPluginWaitFile.executeSynchronous()
if not os.path.exists(xsDataImage.path.value):
strError = "Time-out while waiting for image %s" % xsDataImage.path.value
self.error(strError)
self.addErrorMessage(strError)
self.setFailure()
else:
if self.bUseThinClient:
strPluginName = self.strPluginNameThinClient
else:
strPluginName = self.strPluginName
edPluginPluginExecImageQualityIndicator = self.loadPlugin(strPluginName)
self.listPluginExecImageQualityIndicator.append(edPluginPluginExecImageQualityIndicator)
xsDataInputDistlSignalStrength = XSDataInputDistlSignalStrength()
xsDataInputDistlSignalStrength.setReferenceImage(xsDataImage)
edPluginPluginExecImageQualityIndicator.setDataInput(xsDataInputDistlSignalStrength)
edPluginPluginExecImageQualityIndicator.execute()
edPluginControlBackground3D = self.loadPlugin(self.strPluginNameControlBackground3D)
listPlugin.append([edPluginPluginExecImageQualityIndicator, edPluginControlBackground3D])
xsDataInputControlBackground3D = XSDataInputControlBackground3D()
xsDataInputControlBackground3D.addImage(XSDataFile(xsDataImage.path))
edPluginControlBackground3D.dataInput = xsDataInputControlBackground3D
edPluginControlBackground3D.execute()
listIndexing = []
# Synchronize all image quality indicator plugins and upload to ISPyB
xsDataInputStoreListOfImageQualityIndicators = XSDataInputStoreListOfImageQualityIndicators()
for pluginPair in listPlugin:
edPluginPluginExecImageQualityIndicator = pluginPair[0]
edPluginControlBackground3D = pluginPair[1]
edPluginPluginExecImageQualityIndicator.synchronize()
edPluginControlBackground3D.synchronize()
xsDataImageQualityIndicators = XSDataImageQualityIndicators.parseString(\
edPluginPluginExecImageQualityIndicator.dataOutput.imageQualityIndicators.marshal())
if edPluginControlBackground3D.dataOutput.imageBackground != []:
xsDataImageQualityIndicators.background3D_estimate = edPluginControlBackground3D.dataOutput.imageBackground[0].estimate
self.xsDataResultControlImageQualityIndicators.addImageQualityIndicators(xsDataImageQualityIndicators)
xsDataISPyBImageQualityIndicators = \
XSDataISPyBImageQualityIndicators.parseString(xsDataImageQualityIndicators.marshal())
xsDataInputStoreListOfImageQualityIndicators.addImageQualityIndicators(xsDataISPyBImageQualityIndicators)
# print xsDataInputStoreListOfImageQualityIndicators.marshal()
if self.dataInput.doUploadToIspyb is not None and self.dataInput.doUploadToIspyb.value:
self.edPluginISPyB = self.loadPlugin(self.strISPyBPluginName)
self.edPluginISPyB.dataInput = xsDataInputStoreListOfImageQualityIndicators
self.edPluginISPyB.execute()
#
if bDoIndexing:
# Find the 5 most intensive images (TIS):
listImage = []
# Check that we have background3D_estimate from all images:
has_background3D_estimate = True
for imageQualityIndicators in self.xsDataResultControlImageQualityIndicators.imageQualityIndicators:
if imageQualityIndicators.background3D_estimate is None:
has_background3D_estimate = False
if has_background3D_estimate:
listSorted = sorted(self.xsDataResultControlImageQualityIndicators.imageQualityIndicators,
key=lambda imageQualityIndicators: imageQualityIndicators.background3D_estimate.value)
else:
listSorted = sorted(self.xsDataResultControlImageQualityIndicators.imageQualityIndicators,
key=lambda imageQualityIndicators: imageQualityIndicators.totalIntegratedSignal.value)
for xsDataResultControlImageQualityIndicator in listSorted[-5:]:
if xsDataResultControlImageQualityIndicator.goodBraggCandidates.value > 30:
xsDataInputReadImageHeader = XSDataInputReadImageHeader()
xsDataInputReadImageHeader.image = XSDataFile(xsDataResultControlImageQualityIndicator.image.path)
self.edPluginReadImageHeader = self.loadPlugin(self.strPluginReadImageHeaderName)
self.edPluginReadImageHeader.dataInput = xsDataInputReadImageHeader
self.edPluginReadImageHeader.executeSynchronous()
xsDataResultReadImageHeader = self.edPluginReadImageHeader.dataOutput
if xsDataResultReadImageHeader is not None:
xsDataSubWedge = xsDataResultReadImageHeader.subWedge
self.xsDataCollection = XSDataCollection()
self.xsDataCollection.addSubWedge(xsDataSubWedge)
xsDataIndexingInput = XSDataIndexingInput()
xsDataIndexingInput.setDataCollection(self.xsDataCollection)
xsDataMOSFLMIndexingInput = EDHandlerXSDataMOSFLMv10.generateXSDataMOSFLMInputIndexing(xsDataIndexingInput)
edPluginMOSFLMIndexing = self.loadPlugin(self.strIndexingMOSFLMPluginName)
self.listPluginMOSFLM.append([edPluginMOSFLMIndexing, xsDataResultControlImageQualityIndicator])
edPluginMOSFLMIndexing.setDataInput(xsDataMOSFLMIndexingInput)
edPluginMOSFLMIndexing.execute()
for tupleMOSFLM in self.listPluginMOSFLM:
edPluginMOSFLMIndexing = tupleMOSFLM[0]
xsDataResultControlImageQualityIndicator = tupleMOSFLM[1]
edPluginMOSFLMIndexing.synchronize()
if not edPluginMOSFLMIndexing.isFailure():
xsDataMOSFLMOutput = edPluginMOSFLMIndexing.dataOutput
xsDataIndexingResult = EDHandlerXSDataMOSFLMv10.generateXSDataIndexingResult(xsDataMOSFLMOutput)
selectedSolution = xsDataIndexingResult.selectedSolution
if selectedSolution is not None:
xsDataResultControlImageQualityIndicator.selectedIndexingSolution = selectedSolution
def preProcess(self, _edObject=None):
EDPluginControl.preProcess(self)
self.DEBUG('EDPluginControlAutoproc.preProcess starting')
self.DEBUG('failure state is currently {0}'.format(self.isFailure()))
# for info to send to the autoproc stats server
self.custom_stats = dict(
creation_time=time.time(),
processing_type='edna fastproc',
datacollect_id=self.dataInput.data_collection_id.value,
comments='running on {0}'.format(socket.gethostname()))
data_in = self.dataInput
xds_in = XSDataMinimalXdsIn()
xds_in.input_file = data_in.input_file.path
xds_in.spacegroup = data_in.spacegroup
xds_in.unit_cell = data_in.unit_cell
self.log_file_path = os.path.join(self.root_dir, 'stats.json')
self.DEBUG('will log timing information to {0}'.format(
self.log_file_path))
self.stats = dict()
# Get the image prefix from the directory name
# XXX: This is horrible
try:
self.image_prefix = '_'.join(
os.path.basename(self.root_dir).split('_')[1:-1])
except Exception:
self.image_prefix = ''
self.results_dir = os.path.join(self.root_dir, 'results',
'fast_processing')
try:
os.makedirs(self.results_dir)
except OSError: # it most likely exists
pass
# Copy the vanilla XDS input file to the results dir
infile_dest = os.path.join(self.results_dir,
self.image_prefix + '_input_XDS.INP')
shutil.copy(self.dataInput.input_file.path.value, infile_dest)
# Ensure the autoproc ids directory is there
self.autoproc_ids_dir = os.path.join(self.results_dir,
'fastproc_integration_ids')
try:
os.makedirs(self.autoproc_ids_dir)
except OSError: # it's there
pass
# we'll need the low res limit later on
lowres = data_in.low_resolution_limit
if lowres is not None:
self.low_resolution_limit = lowres.value
else:
self.low_resolution_limit = 50
res_override = data_in.res_override
if res_override is not None:
self.res_override = res_override.value
else:
# XXX: default to 0?
self.res_override = None
# check the number of images (must be > 8) and get the first
# image name to wait for. Also modify the XDS.INP file to
# reflect these values, if specified
conf = parse_xds_file(data_in.input_file.path.value)
# Make the [XY]-GEO_CORR paths absolute
if 'X-GEO_CORR=' in conf:
xgeo = os.path.abspath(
os.path.join(self.root_dir, conf['X-GEO_CORR='][0]))
if not os.path.exists(xgeo):
self.DEBUG(
'geometry file {0} does not exist, removing'.format(xgeo))
del conf['X-GEO_CORR=']
else:
conf['X-GEO_CORR='] = xgeo
if 'Y-GEO_CORR=' in conf:
ygeo = os.path.abspath(
os.path.join(self.root_dir, conf['Y-GEO_CORR='][0]))
if not os.path.exists(ygeo):
self.DEBUG(
'geometry file {0} does not exist, removing'.format(ygeo))
del conf['Y-GEO_CORR=']
else:
conf['Y-GEO_CORR='] = ygeo
dump_xds_file(data_in.input_file.path.value, conf)
resrange = conf.get('INCLUDE_RESOLUTION_RANGE=')
if resrange is not None:
if self.low_resolution_limit is not None:
resrange[0] = self.low_resolution_limit
if self.res_override is not None:
resrange[1] = self.res_override
conf['INCLUDE_RESOLUTION_RANGE='] = resrange
dump_xds_file(data_in.input_file.path.value, conf)
data_range = conf.get('DATA_RANGE=')
# we'll need that for the very last part ( file import )
self.data_range = data_range
if data_range is not None:
start_image = data_range[0]
end_image = data_range[1]
if end_image - start_image < 8:
self.ERROR('there are fewer than 8 images, aborting')
self.setFailure()
return
template = conf['NAME_TEMPLATE_OF_DATA_FRAMES='][0]
self.DEBUG('template for images is {0}'.format(template))
# fix the path if it's not absolute
if not os.path.isabs(template):
self.DEBUG('file template {0} is not absolute'.format(template))
base_dir = os.path.abspath(
os.path.dirname(data_in.input_file.path.value))
template = os.path.normpath(os.path.join(self.root_dir, template))
conf['NAME_TEMPLATE_OF_DATA_FRAMES='] = template
self.DEBUG('file template fixed to {0}'.format(template))
self.DEBUG('dumping back the file to {0}'.format(
data_in.input_file.path.value))
dump_xds_file(data_in.input_file.path.value, conf)
first_image = _template_to_image(template, start_image)
self.wait_file = self.loadPlugin('EDPluginWaitFile')
waitfileinput = XSDataInputWaitFile()
waitfileinput.expectedFile = XSDataFile()
waitfileinput.expectedFile.path = XSDataString(first_image)
waitfileinput.expectedSize = XSDataInteger(0) # we do not care
timeout = XSDataTime()
global WAIT_FOR_FRAME_TIMEOUT
timeout.value = WAIT_FOR_FRAME_TIMEOUT
waitfileinput.timeOut = timeout
self.wait_file.dataInput = waitfileinput
self.xds_first = self.loadPlugin("EDPluginControlRunXdsFastProc")
self.xds_first.dataInput = xds_in
self.generate = self.loadPlugin("EDPluginXDSGenerate")
self.first_res_cutoff = self.loadPlugin("EDPluginResCutoff")
self.res_cutoff_anom = self.loadPlugin("EDPluginResCutoff")
self.res_cutoff_noanom = self.loadPlugin("EDPluginResCutoff")
self.parse_xds_anom = self.loadPlugin("EDPluginParseXdsOutput")
self.parse_xds_noanom = self.loadPlugin("EDPluginParseXdsOutput")
self.xscale_generate = self.loadPlugin("EDPluginControlXscaleGenerate")
self.store_autoproc_anom = self.loadPlugin(
'EDPluginISPyBStoreAutoProcv1_4')
self.store_autoproc_noanom = self.loadPlugin(
'EDPluginISPyBStoreAutoProcv1_4')
self.file_conversion = self.loadPlugin('EDPluginControlAutoprocImport')
self.DEBUG('EDPluginControlAutoproc.preProcess finished')
