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...
Adding a DocumentService to clean up the FileService, and get Documents well seperated, as it seems likely be pulled out or seperated in the future, there is now a Documents api file as well, for the same reason.
Some other minor changes are just fixing white space to assure our code is linting correctly.
I removed _create_study_workflow_approvals from the base test, as we don't use approvals like this anymore.
Using the LDAP service for checking user details in development mode - even if you are using the back door.
Added a new Flask fucntion load-example-rrt-data that loads the rrt workflow, and not the CRC wrokflows.
Modified the "load-example-data" in the tests to use some test data, rather than loading up all the workflows[
in CRC each time, with a parameter to load crc data if that is required - which is enabled for just a handful of tests.
(Tests run in 1/4 the time now)
Improving the study_info script documentation to provide detailed examples of values returned based on arguments.
Making the tests a little more targetted and less subject to breaking through better mocks.
Allow all tests to pass even when ther protocol builder mock isn't running locally.
Removing the duplication of reference files in tests and static, as this seems silly to me at the moment.
Created a Study object (seperate from the StudyModel) that can cronstructed on request, and contains a different data structure than we store in the DB. This allows us to return underlying Categories and Workflows in a clean way.
Added a new status to workflows called "not_started", meaning we have not yet instantiated a processor or created a BPMN, they have no version yet and no stored data, just the possiblity of being started.
The Top Level Workflow or "Master" workflow is now a part of the sample data, and loaded at all times.
Removed the ability to "add a workflow to a study" and "remove a workflow from a study", a study contains all possible workflows by definition.
Example data no longer creates users or studies, it just creates the specs.
Fixing adding a study so all workflows are again added, will add status on those workflows based on output from the master bpmn diagram, which is coming shortly.
The protocol builder service now returns real models, not dictionaries, forcing proper validation and fail-fast behavior.
Changed the name of the "status" spec, to "top_level_workflow" and removing any connection a workflow or study has with this specification. It is only unused to determine status in real time, and is not reused or tracked.
Modified the required documents script to return a dictionary and not an array, making it easier to speak to specific values in the BPMN and DMN.
Working on new ways to test the top_level_workflow in the context of updates, this is still a work in progress.
Making use of several modifications to the Spiff library that enables more complex expressions in DMN models. This is evident in the new DMN models for the top_level_workflow
