def callback(input, value, prefixed_name, prefixed_label):
replacement = None
if isinstance(input, DataToolParameter):
if connections is None or prefixed_name in input_connections_by_name:
if input.multiple:
replacement = [] if not connections else [
DummyDataset() for conn in connections
]
else:
replacement = DummyDataset()
return replacement
def item_callback(trans, key, input, value, error, old_value, context):
# Dummy value for Data parameters
if isinstance(input, DataToolParameter):
return DummyDataset(), None
# Deal with build/runtime (does not apply to Data parameters)
if key == make_buildtime_key:
return input.get_initial_value(trans, context), None
elif isinstance(old_value, RuntimeValue):
return old_value, None
elif key == make_runtime_key:
return RuntimeValue(), None
else:
return value, error
def item_callback( trans, key, input, value, error, old_value, context ):
# Dummy value for Data parameters
if isinstance( input, DataToolParameter ):
return DummyDataset(), None
# Deal with build/runtime (does not apply to Data parameters)
if key == make_buildtime_key:
return input.get_initial_value( trans, context ), None
elif isinstance( old_value, RuntimeValue ):
return old_value, None
elif key == make_runtime_key:
return RuntimeValue(), None
elif isinstance(value, basestring) and re.search("\$\{.+?\}", str(value)):
# Workflow Parameter Replacement, so suppress error from going to the workflow level.
return value, None
else:
return value, error
def callback( input, value, prefixed_name, prefixed_label ):
if isinstance( input, DataToolParameter ):
if connections is None or prefixed_name in input_connections_by_name:
return DummyDataset()