If an author has created a capa problem like an mcqs or something similar without providing answer text to an option and some learner selected that option then the response report generation will fail due to that missing answer text. The current commit will add default text to be substituted and prevents report generation crash.
Previously, ProblemBlock's implementation was split between
CapaMixin/CapaFields (in capa_base.py) and ProblemBlock
(in capa_module.py), the former being the base classes of the
latter. The split existed for a historical reason:
as a former XModule, ProblemBlock was once split
between CapaDescriptor (author-facing) and CapaModule
(learner-facing). Since ProblemBlock has been converted
to being a pure XBlock, the division between the base
classes and the block class are no longer necessary
nor semantically helpful.
docs: Flesh out ProblemBlock's docstring a bit.
This fixes TNL-7973 [1].
Background
----------
> An alert was sent out because a malformed capa problem caused block
> transformers to fail to run.
> This specific error/alert was triggered when an optionresponse problem
> lacked text. The authoring-based fix is to edit the offending
> option-response problem to remove the empty option.
> Expected behavior: We should be able to keep the error local to the
> ProblemBlock and not blow up the whole course publish block
> transformer collection process.
> This is a really easy error for authors to make, and the consequences
> to them (one problem doesn’t work) are disproportionate to the
> consequences [...] (alerting triggered).
- [1] https://openedx.atlassian.net/browse/TNL-7973
Reverts #26731
The code in common/lib/capa/capa/safe_exec needs
to remain Python 3.5-compatible, since edx-sandbox
(ie codejail) is still running Python 3.5.
django-not-configured is an error raised by pylint (with
the pylint-django plugin) when it's not correctly configured.
We should not be applying lint amnesty for such a violation.
The limits can be defined in settings.CODE_JAIL['limits_overrides'],
which is a dict mapping context ids (generally, course run keys)
to overrides to be applied to settings.CODE_JAIL['limits'].
This will allow us to temporarily alter the codejail limits
for certain contexts in order to enable, for example,
a certain course run's tasks to run longer while a large exam's
grades are recomputed.
TNL-7649
* Workaround the error in find_question_label.
This is a temporary log, which will give us information and unblock the course team.
PROD-1326
* raise exception after logging it.
