Upraded SpiffWorkflow and now use th new get_subprocess_specs
updated the calculate_stats in the workflow processor - as the serialization had changed drastically, and needed to debug some performance issues.
Added a get_navigation method that will calcuate a basic navigation list MUCH faster than using the get_flat_nav_list in Spiffworkflows Navigation object.
Modified a hellton of tests because we don't have total_task and completed_task counts, or a complex nested navigation list anymore.
But, it returned warnings to the front end for debugging
Ticket 733 was created to address this.
Fix the warnings and return them again.
This also broke the tests in test_study_status_message, so we skip them for now
Merging in code to improve performance of calculating percent complete for a study.
Assureing we have a primary investigator for the front page (another merge)
1. Avoid ever re-generating the list of scripts that can be used in a script task. Terribly expensive as we call eval constantly, and it never ever changes once the app starts. (see script.py changes, and comments)
2. Cache the DocumentStatus list in the flask session, so we calculate it at most once per API Call. It's at least .25 seconds per call. (see study_sevice)
3. We called UserFileService.get_files_for_study (which runs a db query EVERY time) for every possible document type. Now we run the query once (study service line 321)
4. When returning a workflow, we looped through every single task in that workflow's navigation, and called the expensive spiff_task_to_api_task just to figure out it's proper display name. We run a much faster and more efficient method to calculate the display name naow (see workflow_service on lie 680, and 799)
5. A hellton of @timeit and sincetime() calls, that I want to leave in, to help debug any slowness on production.
it can be kind of irritating for this stuff to be spinning up when you are trying to debug something, so just set
PROCESS_WAITING_TASKS to false in instance/config.py and voila!!
