Spiffworkflow 1.2: Top Level Imports moved to appropriate modules
- replace 'from SpiffWorkflow import WorkflowException' to 'from SpiffWorkflow.exceptions import WorkflowException'
- replace 'from SpiffWorkflow import TaskState' to 'from SpiffWorkflow.task import TaskState'
- replace 'from SpiffWorkflow import Task' to 'from SpiffWorkflow.task import Task'
SpiffWorkflow 1.2: Navigation code removed completely. Proved to be of little use to folks, was super complex and difficult to maintain.
SpiffWorkflow 1.2: When inserting custom functions into the PythonExecutionEngine - be aware that the task data will act as the full context for execution, and will contain global functions and methods during the exec call.
SpiffWorkflow 1.2: All Task Specs now have a spec_type attribute, containing a descriptive string of the type, such as "User Task", "Script Task", "Start Event" etc...
Spiffworkflow 1.2: remove all references of timeit (no longer in SpiffWorkflow)
Spiffworkflow 1.2: pythonScriptEngine._evaluate no longer accepts a task argument.
Spiffworkflow 1.2: CancelEventDefinition was removed - please use SignalEventDefinition instead
EX: replace bpmn_workflow.signal('cancel') # generate a cancel signal.
bpmn_workflow.catch(CancelEventDefinition())
WITH: bpmn_workflow.catch(SignalEventDefinition('cancel'))
Spiffworkflow 1.2: Task States are JUST integers and TaskSpecNames is now a public dictionary, and can be used to covert a state to human readable string
EX: REPLACE: user_task.state.name
WITH: TaskStateNames[user_task.state]
Also:
* Assured that arguments are consistent (we always seem to use workflow_spec_id, so I made sure we use that consistently.
* Don't require named parameters - so it's cool to call it like: reset_workflow('my_workflow_id')
* Task Actions (ie create, assign, etc...) are now an enumeration in the models, and not static variables on Workflow Service, so we can reference them consistently from anywhere.
* Removed some repetitive code
* Always try to validate as much as possible in the scripts to save folks time debugging.
*
We set 3 `real` data_store values in the DB
The workflow sets 3 validation_data_store values
We assert that the correct values are returned.
We also assert that we get correct default values back if we pass in bad keys
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)
