Implement min/max for multiple data input parameters.

lib/galaxy/tools/parameters/basic.py

@@ -1764,6 +1764,22 @@ def __init__( self, tool, input_source, trans=None):
             self.validators.append( validation.MetadataValidator() )
         self._parse_formats( trans, tool, input_source )
         self.multiple = input_source.get_bool('multiple', False)
+        self.min = input_source.get( 'min' )
+        self.max = input_source.get( 'max' )
+        if self.min:
+            try:
+                self.min = int( self.min )
+            except:
+                raise ValueError( "An integer is required for min property." )
+        if self.max:
+            try:
+                self.max = int( self.max )
+            except:
+                raise ValueError( "An integer is required for max property." )
+        if not self.multiple and (self.min is not None):
+            raise ValueError( "Cannot specify min property on single data parameter '%s'. Set multiple=\"true\" to enable this option." % self.name )
+        if not self.multiple and (self.max is not None):
+            raise ValueError( "Cannot specify max property on single data parameter '%s'. Set multiple=\"true\" to enable this option." % self.name )
         self.is_dynamic = True
         self._parse_options( input_source )
         # Load conversions required for the dataset input
@@ -2052,17 +2068,31 @@ def value_to_display_text( self, value, app ):
         return "No dataset"
 
     def validate( self, value, history=None ):
+        dataset_count = 0
         for validator in self.validators:
             if value and self.multiple:
-                if isinstance(value, list):
-                    for v in value:
-                        validator.validate( v, history )
-                elif isinstance(value, galaxy.model.HistoryDatasetCollectionAssociation):
-                    for v in value.collection.dataset_instances:
+                if not isinstance( value, list ):
+                    value = [ value ]
+                for v in value:
+                    if isinstance(v, galaxy.model.HistoryDatasetCollectionAssociation):
+                        for dataset_instance in v.collection.dataset_instances:
+                            dataset_count += 1
+                            validator.validate( dataset_instance, history )
+                    else:
+                        dataset_count += 1
                         validator.validate( v, history )
             else:
+                if value:
+                    dataset_count += 1
                 validator.validate( value, history )
 
+        if self.min is not None:
+            if self.min > dataset_count:
+                raise ValueError( "At least %d datasets are required." % self.min )
+        if self.max is not None:
+            if self.max < dataset_count:
+                raise ValueError( "At most %d datasets are required." % self.max )
+
     def get_dependencies( self ):
         """
         Get the *names* of the other params this param depends on.
@@ -2124,6 +2154,10 @@ def to_dict( self, trans, view='collection', value_mapper=None, other_values=Non
         d['extensions'] = extensions
         d['edam_formats'] = edam_formats
         d['multiple'] = self.multiple
+        if self.multiple:
+            # For consistency, should these just always be in the dict?
+            d['min'] = self.min
+            d['max'] = self.max
         d['options'] = {'hda': [], 'hdca': []}
 
         # return default content if context is not available

test/api/test_tools.py

@@ -62,6 +62,19 @@ def test_show_conditional( self ):
         self._assert_has_keys( case2_inputs[ 0 ], 'name', 'type', 'label', 'help', 'argument' )
         assert case2_inputs[ 0 ][ "name" ] == "seed"
 
+    @skip_without_tool( "multi_data_param" )
+    def test_show_multi_data( self ):
+        tool_info = self._show_valid_tool( "multi_data_param" )
+
+        f1_info, f2_info = tool_info[ "inputs" ][ 0 ], tool_info[ "inputs" ][ 1 ]
+        self._assert_has_keys( f1_info, "min", "max" )
+        assert f1_info["min"] == 1
+        assert f1_info["max"] == 1235
+
+        self._assert_has_keys( f2_info, "min", "max" )
+        assert f2_info["min"] is None
+        assert f2_info["max"] is None
+
     def _show_valid_tool( self, tool_id ):
         tool_show_response = self._get( "tools/%s" % tool_id, data=dict( io_details=True ) )
         self._assert_status_code_is( tool_show_response, 200 )

test/functional/tools/multi_data_param.xml

@@ -6,7 +6,7 @@
     cat ${" ".join(map(str, $f2))} >> $out2
   </command>
   <inputs>
-    <param name="f1" type="data" format="txt" multiple="true" label="Data 1" />
+    <param name="f1" type="data" format="txt" multiple="true" label="Data 1" min="1" max="1235" />
     <param name="f2" type="data" format="txt" multiple="true" label="Data 2" />
     <conditional name="advanced">
       <param name="full" type="select" label="Parameter Settings">