Loading lib/galaxy/model/store/__init__.py +10 −0 Original line number Diff line number Diff line Loading @@ -1194,6 +1194,11 @@ class ModelImportStore(metaclass=abc.ABCMeta): label = workflow_output.get("label") workflow_output = workflow.workflow_output_for(label) output_dataset_collection.workflow_output = workflow_output output_dataset_collection_attrs = output_dataset_collection_attrs.get("dataset_collection") or {} if hdca_id := output_dataset_collection_attrs.get(object_key): hdca = object_import_tracker.find_hdca(hdca_id) if hdca: output_dataset_collection.dataset_collection = hdca self._session_add(output_dataset_collection) output_dataset_collections.append(output_dataset_collection) Loading @@ -1206,6 +1211,11 @@ class ModelImportStore(metaclass=abc.ABCMeta): label = workflow_output.get("label") workflow_output = workflow.workflow_output_for(label) output_dataset.workflow_output = workflow_output output_dataset_dataset_attrs = output_dataset_attrs.get("dataset") or {} if dataset_id := output_dataset_dataset_attrs.get(object_key): dataset = object_import_tracker.find_hda(dataset_id) if dataset: output_dataset.dataset = dataset self._session_add(output_dataset) output_datasets.append(output_dataset) Loading test/integration/test_workflow_tasks.py +6 −0 Original line number Diff line number Diff line Loading @@ -99,6 +99,7 @@ class TestWorkflowTasksIntegration(PosixFileSourceSetup, IntegrationTestCase, Us assert "wf_output_1" in output_collections out = output_collections["wf_output_1"] assert out["src"] == "hdca" assert out["id"] inputs = invocation_details["inputs"] assert inputs["0"]["src"] == "hdca" Loading Loading @@ -144,6 +145,9 @@ steps: in: input: source: input outputs: extracted_dataset: outputSource: extract_dataset/output """ ) inputs = {"input": {"src": "hdca", "id": copied_collection["id"]}} Loading @@ -164,6 +168,8 @@ steps: workflow_request=workflow_request, ) imported_invocation_details = self._export_and_import_workflow_invocation(summary) assert imported_invocation_details["outputs"]["extracted_dataset"]["src"] == "hda" assert imported_invocation_details["outputs"]["extracted_dataset"]["id"] original_contents = self.dataset_populator.get_history_contents(new_history["id"]) contents = self.dataset_populator.get_history_contents(imported_invocation_details["history_id"]) assert len(contents) == len(original_contents) == 5 Loading Loading
lib/galaxy/model/store/__init__.py +10 −0 Original line number Diff line number Diff line Loading @@ -1194,6 +1194,11 @@ class ModelImportStore(metaclass=abc.ABCMeta): label = workflow_output.get("label") workflow_output = workflow.workflow_output_for(label) output_dataset_collection.workflow_output = workflow_output output_dataset_collection_attrs = output_dataset_collection_attrs.get("dataset_collection") or {} if hdca_id := output_dataset_collection_attrs.get(object_key): hdca = object_import_tracker.find_hdca(hdca_id) if hdca: output_dataset_collection.dataset_collection = hdca self._session_add(output_dataset_collection) output_dataset_collections.append(output_dataset_collection) Loading @@ -1206,6 +1211,11 @@ class ModelImportStore(metaclass=abc.ABCMeta): label = workflow_output.get("label") workflow_output = workflow.workflow_output_for(label) output_dataset.workflow_output = workflow_output output_dataset_dataset_attrs = output_dataset_attrs.get("dataset") or {} if dataset_id := output_dataset_dataset_attrs.get(object_key): dataset = object_import_tracker.find_hda(dataset_id) if dataset: output_dataset.dataset = dataset self._session_add(output_dataset) output_datasets.append(output_dataset) Loading
test/integration/test_workflow_tasks.py +6 −0 Original line number Diff line number Diff line Loading @@ -99,6 +99,7 @@ class TestWorkflowTasksIntegration(PosixFileSourceSetup, IntegrationTestCase, Us assert "wf_output_1" in output_collections out = output_collections["wf_output_1"] assert out["src"] == "hdca" assert out["id"] inputs = invocation_details["inputs"] assert inputs["0"]["src"] == "hdca" Loading Loading @@ -144,6 +145,9 @@ steps: in: input: source: input outputs: extracted_dataset: outputSource: extract_dataset/output """ ) inputs = {"input": {"src": "hdca", "id": copied_collection["id"]}} Loading @@ -164,6 +168,8 @@ steps: workflow_request=workflow_request, ) imported_invocation_details = self._export_and_import_workflow_invocation(summary) assert imported_invocation_details["outputs"]["extracted_dataset"]["src"] == "hda" assert imported_invocation_details["outputs"]["extracted_dataset"]["id"] original_contents = self.dataset_populator.get_history_contents(new_history["id"]) contents = self.dataset_populator.get_history_contents(imported_invocation_details["history_id"]) assert len(contents) == len(original_contents) == 5 Loading