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Merge pull request #7660 from jmchilton/drop_unused_controller_endpoint

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Drop now unused import endpoint from workflow controller.
This commit is contained in:
Nicola Soranzo
2019-04-04 16:20:06 +01:00
committed by GitHub
parent c94b11ae10 325e962a8e
commit eba0eb6f08
1 changed files with 0 additions and 39 deletions
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lib/galaxy/webapps/galaxy/controllers/workflow.py
-39
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@@ -771,45 +771,6 @@ class WorkflowController(BaseUIController, SharableMixin, UsesStoredWorkflowMixi
trans.response.set_content_type('application/galaxy-archive')
return stored_dict
@web.expose
@web.json
def import_workflow(self, trans, **kwd):
"""
Import a workflow through 3rd party services, e.g. myExperiment.
"""
message = ""
status = "done"
workflow_text = kwd.get('workflow_text')
workflow_source = kwd.get('workflow_source')
if workflow_text:
# Convert incoming workflow data from json
try:
data = json.loads(workflow_text)
except Exception:
data = None
message = "The data content does not appear to be a Galaxy workflow."
status = "error"
log.exception("Error importing workflow.")
if data:
# Create workflow if possible. If a required tool is not available in the local
# Galaxy instance, the tool information will be available in the step_dict.
workflow, missing_tool_tups = self._workflow_from_dict(trans, data, source=workflow_source)
workflow = workflow.latest_workflow
# Provide user feedback and show workflow list.
if workflow.has_errors:
message += "Imported, but some steps in this workflow have validation errors. "
status = "error"
if workflow.has_cycles:
message += "Imported, but this workflow contains cycles. "
status = "error"
else:
message += "Workflow %s imported successfully. " % escape(workflow.name)
else:
status = "error"
message = "Import request requires 'workflow_text'."
redirect_url = url_for('/') + 'workflows/list?status=' + status + '&message=%s' % escape(message)
return trans.response.send_redirect(redirect_url)
@web.expose
def build_from_current_history(self, trans, job_ids=None, dataset_ids=None, dataset_collection_ids=None, workflow_name=None, dataset_names=None, dataset_collection_names=None):
user = trans.get_user()