def filter_options( self, options, trans, other_values ):
def compare_meta_value( file_value, dataset_value ):
if isinstance( dataset_value, list ):
if self.multiple:
file_value = file_value.split( self.separator )
for value in dataset_value:
if value not in file_value:
return False
return True
return file_value in dataset_value
if self.multiple:
return dataset_value in file_value.split( self.separator )
return file_value == dataset_value
assert self.ref_name in other_values or ( trans is not None and trans.workflow_building_mode), "Required dependency '%s' not found in incoming values" % self.ref_name
ref = other_values.get( self.ref_name, None )
if not isinstance( ref, self.dynamic_option.tool_param.tool.app.model.HistoryDatasetAssociation ) and not ( isinstance( ref, galaxy.tools.DatasetFilenameWrapper ) ):
return [] #not a valid dataset
meta_value = ref.metadata.get( self.key, None )
if meta_value is None: #assert meta_value is not None, "Required metadata value '%s' not found in referenced dataset" % self.key
return [ ( disp_name, basic.UnvalidatedValue( optval ), selected ) for disp_name, optval, selected in options ]
if self.column is not None:
rval = []
for fields in options:
if compare_meta_value( fields[self.column], meta_value ):
rval.append( fields )
return rval
else:
if not isinstance( meta_value, list ):
meta_value = [meta_value]
for value in meta_value:
options.append( ( value, value, False ) )
return options
def filter_options(self, options, trans, other_values):
def compare_meta_value(file_value, dataset_value):
if isinstance(dataset_value, list):
if self.multiple:
file_value = file_value.split(self.separator)
for value in dataset_value:
if value not in file_value:
return False
return True
return file_value in dataset_value
if self.multiple:
return dataset_value in file_value.split(self.separator)
return file_value == dataset_value
assert self.ref_name in other_values or (
trans is not None and trans.workflow_building_mode
), "Required dependency '%s' not found in incoming values" % self.ref_name
ref = other_values.get(self.ref_name, None)
is_data = isinstance(ref, galaxy.tools.wrappers.DatasetFilenameWrapper)
is_data_list = isinstance(
ref, galaxy.tools.wrappers.DatasetListWrapper) or isinstance(
ref, list)
is_data_or_data_list = is_data or is_data_list
if not isinstance(
ref, self.dynamic_option.tool_param.tool.app.model.
HistoryDatasetAssociation) and not is_data_or_data_list:
return [] # not a valid dataset
if is_data_list:
meta_value = None
for single_ref in ref:
this_meta_value = single_ref.metadata.get(self.key, None)
if this_meta_value == meta_value:
continue
elif meta_value is None:
meta_value = this_meta_value
else:
# Different values with mismatching metadata, return []
return []
else:
meta_value = ref.metadata.get(self.key, None)
if meta_value is None: # assert meta_value is not None, "Required metadata value '%s' not found in referenced dataset" % self.key
return [(disp_name, basic.UnvalidatedValue(optval), selected)
for disp_name, optval, selected in options]
if self.column is not None:
rval = []
for fields in options:
if compare_meta_value(fields[self.column], meta_value):
rval.append(fields)
return rval
else:
if not self.dynamic_option.columns:
self.dynamic_option.columns = {
"name": 0,
"value": 1,
"selected": 2
}
self.dynamic_option.largest_index = 2
if not isinstance(meta_value, list):
meta_value = [meta_value]
for value in meta_value:
options.append((value, value, False))
return options
