Added a human readable name to created user
added last updated task time and name,
added is_review on the workflow which is triggered by a swimlane with a name present.
Notably - it does NOT update or change any of the performance concerns that we were having with this.
2. Disabling the token timeout for now, to see if this corrects the issues Alex is having with lost work.
3. Raising more thoughtful error messages for unknown lookup options.
4. Providing better validation of default values and injecting the correct value for defaults related to enum lists of all types.
5. Bumping Spiffworkflow library which contains some better error messages and checks.
Making all the lookup field names consistent.
Fixing the lookup service which was failing at times trying to find the correct field to use for building the lookup table.
Updating validation to check for additional fields and properties.
When connexion level errors occur, wrapping it in an API Error to be consistent.
Add the lane information to the Task model.
Drop the foreign key constraint on the user_uid in the task log, as we might create tasks for users before they ever log into the system.
Add a new endpoint to the API called task events. It should be possible to query this and get a list of all tasks that need a users attention.
The task events returned include detailed information about the workflow and study as sub-models
Rename all the actions in event log to things that are easier to pass over the api as arguments, make this backwards compatible, updating existing names in the database via the migration.
Throughly test the navigation and task details as control of the workflow is passed between two lanes.
Adding checks in the API to assure the correct person is completeing a task based on the task's lane.
Adding lane to the Navigation item.
Adding a check to assure that unique user ids can be identified using task.data
Added some additional ldap entries to make testing and development easier.
Removed a big chunk of duplicate code from task_tests_api
Modified some of the helper functions to make it easier to test as specific users.
Added some additional bpmn models to the tests for testing lanes and roles.
Adds an optional 'value' 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 if double spaces were used when performing a search.
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.
In order to allow proper deletion of tasks, we no longer merge data returned from the front end, we set it directly as the task_data.
When returning data to the front end, we take any previous form submission and merge it into the current task data, allowing users to keep their previous submissions.
There is now an "extract_form_data" method that does it's best job to calculate what form data might have changed from the front end.
* TaskEvents now contain the data for each event as it was when the task was completed.
* When loading a task for the front end, if the task was completed previously, we take that data, and overwrite it with the lastest data, allowing users to see previously entered values.
* Pulling in the Admin branch, as there are changes in that branch that are critical to seeing what is happening when we do this thing.
* Moved code for converting a workflow to an API ready data stricture into the Workflow service where it belongs, and out of the API.
* Hard resets just convert to using the latest spec, they don't try to keep the data from the last task. There is a better way.
* Moving to a previous task does not attept to keep the data from the last completed task.
* Added a function that will fix all the existing RRT data by adding critical data into the TaskEvent model. This can be called with from the flask command line tool.
We now cache the LDAP records - so we look in our own database for the record before calling out to ldap for the details when given a straight up computing id like dhf8r.
Added "date_approved" to the approval model.
And moved the approver and primary investigator into real associated models to make it easier to dump.
Fixed a problem with the validation that was causing it to throw incorrect errors on valid workflows. Getting it to behave a little more like the front end behaves, and respecting the read-only fields. But it was mainly to do with always returning all the data with each form submission.
Also, when returning error messages, attempt to include the task data for the task that caused the error.
Also, when attempting to delete any file, respond with an API error explaining the issue, and log the details.
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.
Dan Funk
Kelly McDonald
mike cullerton
Carlos Lopez
Aaron Louie