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Rework ToolDataParameter and ToolDataCollectionParameter to_dict to filter over valid matches.
Doesn't do anything with them yet - passing this work off to Sam to populate the dictionaries in whatever manner makes most sense for UI consumption.
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@@ -2066,12 +2066,26 @@ class DataToolParameter( BaseDataToolParameter ):
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ref = ref()
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return ref
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def to_dict( self, trans, view='collection', value_mapper=None ):
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def to_dict( self, trans, view='collection', value_mapper=None, other_values=None ):
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d = super( DataToolParameter, self ).to_dict( trans )
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d['extensions'] = self.extensions
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d['multiple'] = self.multiple
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if other_values is None:
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# No need to produce lists of datasets for history.
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return d
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dataset_matcher = DatasetMatcher( trans, self, None, other_values )
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history = trans.history
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multiple = self.multiple
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for hda_match, hid in self.match_datasets( history, dataset_matcher ):
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# hda_match not an hda - it is a description of the match, may
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# describe match after implicit conversion.
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pass
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for history_dataset_collection in self.match_collections( history, dataset_matcher, reduction=multiple ):
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pass
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return d
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class DataCollectionToolParameter( BaseDataToolParameter ):
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"""
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"""
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@@ -2238,6 +2252,22 @@ class DataCollectionToolParameter( BaseDataToolParameter ):
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def validate( self, value, history=None ):
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return True # TODO
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def to_dict( self, trans, view='collection', value_mapper=None, other_values=None ):
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d = super( DataCollectionToolParameter, self ).to_dict( trans )
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if other_values is None:
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# No need to produce lists of datasets for history.
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return d
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dataset_matcher = DatasetMatcher( trans, self, None, other_values )
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history = trans.history
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for hdca in self.match_collections( trans, history, dataset_matcher ):
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pass
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for hdca in self.match_multirun_collections( trans, history, dataset_matcher ):
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subcollection_type = self._history_query( trans ).collection_type_description.collection_type
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pass
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class HiddenDataToolParameter( HiddenToolParameter, DataToolParameter ):
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"""
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