There was a problem with the python script engine as well that wasn't handling the de-serialize properly and didn't correctly pick back up on the script engine, and the renaming of methods in PythonScriptEngine created some conflicts with the way we override functions.
We were not handling ldap looks up efficiently, and this was also breaking in Study Info.
Finally we had a bug in SpiffWorkflow that did not allow us to reset back to the previous task in some cases where nested call activities happen far later in the process and are currently active when the reset is created.
Most noteable is the addition of the line on which the error occurs for script tasks. It will report the line number and pass back the content of
the line that failed.
The validator only returns the first error it encounters, as it's clear that all we ever get right now is two of the same error.
Did a lot of work between this and spiffworkflow to remove all the places where we obfuscate or drop details as we converted between workflowExceptions and APIExceptions.
Dropped the python levenshtein dependency, in favor of just rolling a simple one ourselves in Spiffworkflow.
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.
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.
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.
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.
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"
Dan
Aaron Louie