Allow workflows to recognize "data_meta" filters in dynamic options as

forcing runtime validation.

lib/galaxy/tools/parameters/basic.py

@@ -492,7 +492,7 @@ class SelectToolParameter( ToolParameter ):
         # Dynamic options are not yet supported in workflow, allow 
         # specifying the value as text for now.
         if self.is_dynamic and trans.workflow_building_mode \
-           and ( self.options is None or self.options.dataset_ref_name is not None ):
+           and ( self.options is None or self.options.has_dataset_dependencies ):
             assert isinstance( value, UnvalidatedValue )
             value = value.value
             if self.multiple:
@@ -516,7 +516,7 @@ class SelectToolParameter( ToolParameter ):
         # HACK: trans may be None here if doing late validation, this is
         # treated the same as not being in workflow mode
         if self.is_dynamic and ( trans and trans.workflow_building_mode ) \
-           and ( self.options is None or self.options.dataset_ref_name is not None ):
+           and ( self.options is None or self.options.has_dataset_dependencies ):
             if self.multiple:
                 value = value.split( "\n" )
             return UnvalidatedValue( value )
@@ -557,7 +557,7 @@ class SelectToolParameter( ToolParameter ):
     def get_initial_value( self, trans, context ):
         # More working around dynamic options for workflow
         if self.is_dynamic and trans.workflow_building_mode \
-           and ( self.options is None or self.options.dataset_ref_name is not None ):
+           and ( self.options is None or self.options.has_dataset_dependencies ):
             # Really the best we can do?
             return UnvalidatedValue( None )
         options = list( self.get_options( trans, context ) )

lib/galaxy/tools/parameters/dynamic_options.py

@@ -78,6 +78,7 @@ class DataMetaFilter( Filter ):
         Filter.__init__( self, d_option, elem )
         self.ref_name = elem.get( "ref", None )
         assert self.ref_name is not None, "Required 'ref' attribute missing from filter"
+        d_option.has_dataset_dependencies = True
         self.key = elem.get( "key", None )
         assert self.key is not None, "Required 'key' attribute missing from filter"
         self.column = elem.get( "column", None )
@@ -290,6 +291,9 @@ class DynamicOptions( object ):
         self.file_fields = None
         self.largest_index = 0
         self.dataset_ref_name = None
+        # True if the options generation depends on one or more other parameters
+        # that are dataset inputs
+        self.has_dataset_dependencies = False
         self.validators = []
         self.converter_safe = True
         
@@ -320,6 +324,7 @@ class DynamicOptions( object ):
                 self.file_fields = self.parse_file_fields( open( data_file ) )
             elif dataset_file is not None:
                 self.dataset_ref_name = dataset_file
+                self.has_dataset_dependencies = True
                 self.converter_safe = False
             elif from_parameter is not None:
                 transform_lines = elem.get( 'transform_lines', None )