def get_settings_and_export_layer(layer, parent_widget=None):
"""
Prompt the user for layer export settings, and perform the layer export.
"""
sourceTags = [True for l in layer.datasources]
for i, source in enumerate(layer.datasources):
if not hasattr(source, "dataSlot"):
sourceTags[i] = False
if not any(sourceTags):
raise RuntimeError(
"can not export from a non-lazyflow data source (layer=%r, datasource=%r)"
% (type(layer), type(layer.datasources[0])))
if not _has_lazyflow:
raise RuntimeError("lazyflow not installed")
import lazyflow
dataSlots = [
slot.dataSlot for (slot, isSlot) in zip(layer.datasources, sourceTags)
if isSlot is True
]
opStackChannels = lazyflow.operators.OpMultiArrayStacker(
dataSlots[0].getRealOperator().parent)
for slot in dataSlots:
assert isinstance(
slot, lazyflow.graph.Slot), "slot is of type %r" % (type(slot))
assert isinstance(
slot.getRealOperator(),
lazyflow.graph.Operator), "slot's operator is of type %r" % (type(
slot.getRealOperator()))
opStackChannels.AxisFlag.setValue("c")
opStackChannels.Images.resize(len(dataSlots))
for i, islot in enumerate(opStackChannels.Images):
islot.connect(dataSlots[i])
# Create an operator to do the work
from lazyflow.operators.ioOperators import OpFormattedDataExport
opExport = OpFormattedDataExport(parent=opStackChannels.parent)
opExport.OutputFilenameFormat.setValue(str(layer.name))
opExport.Input.connect(opStackChannels.Output)
opExport.TransactionSlot.setValue(True)
# Use this dialog to populate the operator's slot settings
settingsDlg = DataExportOptionsDlg(parent_widget, opExport)
# If user didn't cancel, run the export now.
if (settingsDlg.exec_() == DataExportOptionsDlg.Accepted):
helper = ExportHelper(parent_widget)
helper.run(opExport)
# Clean up our temporary operators
opExport.cleanUp()
opStackChannels.cleanUp()
def get_settings_and_export_layer(layer, parent_widget=None):
"""
Prompt the user for layer export settings, and perform the layer export.
"""
sourceTags = [True for l in layer.datasources]
for i, source in enumerate(layer.datasources):
if not hasattr(source, "dataSlot"):
sourceTags[i] = False
if not any(sourceTags):
raise RuntimeError("can not export from a non-lazyflow data source (layer=%r, datasource=%r)" % (type(layer), type(layer.datasources[0])) )
if not _has_lazyflow:
raise RuntimeError("lazyflow not installed")
import lazyflow
dataSlots = [slot.dataSlot for (slot, isSlot) in
zip(layer.datasources, sourceTags) if isSlot is True]
opStackChannels = lazyflow.operators.OpMultiArrayStacker(dataSlots[0].getRealOperator().parent)
for slot in dataSlots:
assert isinstance(slot, lazyflow.graph.Slot), "slot is of type %r" % (type(slot))
assert isinstance(slot.getRealOperator(), lazyflow.graph.Operator), "slot's operator is of type %r" % (type(slot.getRealOperator()))
opStackChannels.AxisFlag.setValue("c")
opStackChannels.Images.resize(len(dataSlots))
for i,islot in enumerate(opStackChannels.Images):
islot.connect(dataSlots[i])
# Create an operator to do the work
from lazyflow.operators.ioOperators import OpFormattedDataExport
opExport = OpFormattedDataExport( parent=opStackChannels.parent )
opExport.OutputFilenameFormat.setValue( encode_from_qstring(layer.name) )
opExport.Input.connect( opStackChannels.Output )
opExport.TransactionSlot.setValue(True)
# Use this dialog to populate the operator's slot settings
settingsDlg = DataExportOptionsDlg( parent_widget, opExport )
# If user didn't cancel, run the export now.
if ( settingsDlg.exec_() == DataExportOptionsDlg.Accepted ):
helper = ExportHelper( parent_widget )
helper.run(opExport)
# Clean up our temporary operators
opExport.cleanUp()
opStackChannels.cleanUp()
