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Merge branch 'release_19.01' into dev
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@@ -3521,14 +3521,13 @@ class DatasetCollection(Dictifiable, UsesAnnotations, RepresentById):
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self.populated_state = DatasetCollection.populated_states.FAILED
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self.populated_state_message = message
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def finalize(self):
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def finalize(self, collection_type_description):
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# All jobs have written out their elements - everything should be populated
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# but might not be - check that second case! (TODO)
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self.mark_as_populated()
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if self.has_subcollections:
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# THIS IS WRONG - SHOULD ONLY BE TO THE DEPTH OF THE MAP OVER.
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if self.has_subcollections and collection_type_description.has_subcollections():
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for element in self.elements:
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element.child_collection.finalize()
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element.child_collection.finalize(collection_type_description.child_collection_type_description())
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@property
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def dataset_instances(self):
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@@ -314,7 +314,9 @@ class ExecutionTracker(object):
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implicit_collection_jobs = implicit_collection.implicit_collection_jobs
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implicit_collection_jobs.populated_state = "ok"
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trans.sa_session.add(implicit_collection_jobs)
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implicit_collection.collection.finalize()
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implicit_collection.collection.finalize(
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collection_type_description=self.collection_info.structure.collection_type_description
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)
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trans.sa_session.add(implicit_collection.collection)
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trans.sa_session.flush()
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@@ -108,7 +108,7 @@ class InputValueWrapper(ToolParameterValueWrapper):
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return getattr(self.value, key)
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def __int__(self):
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return int(str(self))
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return int(float(self))
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def __float__(self):
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return float(str(self))
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@@ -1165,6 +1165,41 @@ steps:
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assert len(identifiers) == 6
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assert "oe1-ie1" in identifiers
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@skip_without_tool("collection_paired_test")
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def test_workflow_flatten_with_mapped_over_execution(self):
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with self.dataset_populator.test_history() as history_id:
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self._run_jobs(r"""
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class: GalaxyWorkflow
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inputs:
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input_fastqs: collection
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steps:
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split_up:
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tool_id: collection_split_on_column
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in:
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input1: input_fastqs
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flatten:
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tool_id: '__FLATTEN__'
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in:
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input: split_up/split_output
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join_identifier: '-'
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test_data:
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input_fastqs:
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type: list
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elements:
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- identifier: samp1
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content: "0\n1"
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""", history_id=history_id)
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history = self._get('histories/%s/contents' % history_id).json()
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flattened_collection = history[-1]
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assert flattened_collection['history_content_type'] == 'dataset_collection'
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assert flattened_collection['collection_type'] == 'list'
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assert flattened_collection['element_count'] == 2
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nested_collection = self.dataset_populator.get_history_collection_details(history_id, hid=3)
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assert nested_collection['collection_type'] == 'list:list'
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assert nested_collection['element_count'] == 1
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assert nested_collection['elements'][0]['object']['populated']
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assert nested_collection['elements'][0]['object']['element_count'] == 2
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@skip_without_tool("__APPLY_RULES__")
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def test_workflow_run_apply_rules(self):
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with self.dataset_populator.test_history() as history_id:
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@@ -1,9 +1,11 @@
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<tool id="cheetah_casting" name="cheetah_casting" version="1.0.0">
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<command>
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#set $int_val_inc = int($inttest) + 1
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#set $int_flot_val_inc = int($floattest) + 1
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#set $float_val_inc = float($floattest) + 1
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echo $int_val_inc >> $out_file1;
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echo $float_val_inc >> $out_file1;
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echo $int_val_inc >> '$out_file1';
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echo $int_flot_val_inc >> '$out_file1';
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echo $float_val_inc >> '$out_file1';
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</command>
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<inputs>
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<param name="inttest" value="1" type="integer" />
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@@ -19,6 +21,7 @@
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<output name="out_file1">
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<assert_contents>
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<has_line line="2" />
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<has_line line="3" />
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<has_line line="3.5" />
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</assert_contents>
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</output>
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