Removing the spreadsheet.value.column and data.value.column so we just have value.column for both.
Improving the __str__ function in the ApiError class, to make debugging a little easier.
Adding a "validate_all" flask command, to help us track down any issues with current workflows in production (use this in concert with sync_with_testing)
Fixed logs of tests.
removed fact_runner.py, a very early and crufty bit of code.
To do so, I changed the WorkflowProcessor's reset method to be static, it will try to instantiate the current workflow and execute a cancel_notify event, but if that fails, it will continue and always return a new workflow processor using the latest spec.
In api.study.update_study we test the study status and call the new WorkflowService method process_workflows_for_cancels.
In services.workflow_service we added the new method process_workflows_for_cancels. It loops through workflows for a study, and resets them if they are in progress.
In services.workflow_processor, we changed the reset method to be an instance method so we can call self.cancel_notify.
In tests.test_lookup_service we changed the call to WorkflowProcessor.reset to reflect the change from class method to instance method
Adds an optional 'id' parameter to the lookup endpoint so you can find a specific entry in the lookup table.
Makes sure the data attribute returned on a lookup model is a dictionary, and not a string.
Fixes a previous bug that would crop up in double spaces were used when performing a search.
Another speed improvement - data in the FileDataModel is deferred, and not queried until it is specifically used, as the new data structures need to use this model frequently.
Refactored calls into a new lookup_service to keep things tidy.
New keys for all enum/auto-complete fields:
PROP_OPTIONS_FILE = "spreadsheet.name"
PROP_OPTIONS_VALUE_COLUMN = "spreadsheet.value.column"
PROP_OPTIONS_LABEL_COL = "spreadsheet.label.column"
PROP_LDAP_LOOKUP = "ldap.lookup"
FIELD_TYPE_AUTO_COMPLETE = "autocomplete"
