This is a first stage for removing the LegacyWaffle* classes.
LegacyWaffleFlag usage replaced with WaffleFlag;
LegacyWaffleSwitche usage replaced with WaffleSwitch;
New CourseWaffleFlag added to the temporary module __future__ as FutureCourseWaffleFlag;
Updated all the imports to use CourseWaffleFlag from the __future__ module;
BREAKING CHANGE: A number of toggle related constants (e.g. ENABLE_ACCESSIBILITY_POLICY_PAGE)
changed types. They were strings, and are now toggle instances (e.g. WaffleSwitch). Although the entire
refactor should be self-contained in edx-platform, if any plugins or dependencies were directly
using these constants, they will break. If this is the case, try to find a better publicized way of
exposing those toggles.
Contains a number of cookie monitoring changes.
Enhancements:
- Add sampling capability for cookie logging on headers
smaller than the threshold. For details, see
COOKIE_SAMPLING_REQUEST_COUNT.
- Add cookie header size to log message.
- Sort logged cookies starting with largest cookie.
- Move logging from Middleware request processing
to response processing to ensure the user id is
available for logging for authenticated calls.
- Added cookies.header.size.computed to check
if there are any large hidden duplicate cookies.
Can be compared against the cookies.header.size
custom attribute.
- Add delimiters into logs to make it simpler to parse
when the logging tools accidentally exports multiple
log lines together.
Removed:
- Legacy cookie capture code. This code was dangerous to
to enable and provided more limited insight than the
newer logging, so this was removed to simplify the code.
Other refactors:
- Switched Middleware to use new Django format, rather
than the Mixin.
- Moved tests to its own test class. Note: this
middleware is likely to move to a separate
library.
ARCHBOM-2055
Convert more tests from MONGO_AMNESTY to SPLIT modulestores.
This is in preparation for just wholesale denying access to Old
Mongo, so I either converted tests to split or just deleted some
test variants that were Old Mongo specific. (e.g. ddt lines)
It's long past time that the default test modulestore was Split,
instead of Old Mongo. This commit switches the default store and
fixes some tests that now fail:
- Tests that didn't expect MFE to be enabled (because we don't
enable MFE for Old Mongo) - opt out of MFE for those
- Tests that hardcoded old key string formats
- Lots of other random little differences
In many places, I didn't spend much time trying to figure out how to
properly fix the test, and instead just set the modulestore to Old
Mongo.
For those tests that I didn't spend time investigating, I've set
the modulestore to TEST_DATA_MONGO_AMNESTY_MODULESTORE - search for
that string to find further work.
The _does_name_change_require_verification(user_profile, old_name, new_name) method of the accounts user_api determines whether a learner can change their name from old_name to new_name. Originally, it delegated solely to the NameChangeValidator class of the edx-name-affirmation API, which ran a set of checks against the name change. One of said checks was asserting that learners with one or more certificates could not change their name without completing IDV.
This pull request changes this behavior.
Learners may have certificates that are not in a passable status (e.g. "unverified"). We only want to require IDV for name changes for learners that have passing statuses. The existing code prevented learners from changing their name if they had any certificates at all, irrespective of the certificate status. This change only considers certificates in a passable status.
Additionally, learners may have certificates and also not be enrolled in any "verified" seats. For example, despite edX no longer offering "honor" seats, learners may have enrollments in "honor" modes, which grant certificates but are not considered "verified" enrollment modes. IDV requires that a learner be enrolled in a "verified" seat in order to complete IDV. Prior to this change, learners that were navigated to IDV to validate a name change were unable to complete IDV. This change introduce a check that a learner is in a "verified" mode in addition to using the NameChangeValidator. This prevents the account MFE from navigating an IDV-ineligible learner to IDV.
MST-1254: https://openedx.atlassian.net/browse/MST-1254
This fixes a couple places (LastSeenCoursewareTimezone and
UserCourseTag) where we were saving an entry for a user, but not
making sure we ignored anonymous users.
* chore: update deprecated import from collections
* chore: remove outdated imports from markdown library
as it hasn't been supported since 2.0.3 and we're on 3.x.
This was deprecated at least as early as 2012!
* docs: add docstring and remove lint-amnesty to markdown plugin
* chore: remove deprecated etree import
* style: remove unnecessary-comprehension for sets
* style: resolve a number of amnestied pylint complaints
Co-authored-by: stvn <stvn@mit.edu>
The VERIFIED_NAME_FLAG, the VerifiedNameEnabledView, and the verified_name_enabled key removed from responses for both VerifiedNameView view and VerifiedNameHistoryView
were removed as part https://github.com/edx/edx-name-affirmation/pull/12. This was released in version 2.0.0 of the edx-name-affirmation PyPI package. Please see below for additional context for the removal, copied from the name-affirmation commit message.
The VERIFIED_NAME_FLAG was added as part https://github.com/edx/edx-name-affirmation/pull/12, [MST-801](https://openedx.atlassian.net/browse/MST-801) in order to control the release of the Verified Name project. It was used for a phased roll out by percentage of users.
The release reached a percentage of 50% before it was observed that, due to the way percentage roll out works in django-waffle, the code to create or update VerifiedName records was not working properly. The code was written such that any change to a SoftwareSecurePhotoVerification model instance sent a signal, which was received and handled by the Name Affirmation application. If the VERIFIED_NAME_FLAG was on for the requesting user, a Celery task was launched from the Name Affirmation application to perform the creation of or update to the appropriate VerifiedName model instances based on the verify_student application signal. However, we observed that when SoftwareSecurePhotoVerification records were moved into the "created" or "ready" status, a Celery task in Name Affirmation was created, but when SoftwareSecurePhotoVerification records were moved into the "submitted" status, the corresponding Celery task in Name Affirmation was not created. This caused VerifiedName records to stay in the "pending" state.
The django-waffle waffle flag used by the edx-toggle library implements percentage rollout by setting a cookie in a learner's browser session to assign them to the enabled or disabled group.
It turns out that the code that submits a SoftwareSecurePhotoVerification record, which moves it into the "submitted" state, happens as part of a Celery task in the verify_student application in the edx-platform. Therefore, we believe that because there is no request object in a Celery task, the edx-toggle code is defaulting to the case where there is no request object. In this case, the code checks whether the flag is enabled for everyone when determining whether the flag is enabled. Because of the percentage rollout (i.e. waffle flag not enabled for everyone), the Celery task in Name Affirmation is not created. This behavior was confirmed by logging added as part of https://github.com/edx/edx-name-affirmation/pull/62.
We have determined that we do not need the waffle flag, as we are comfortable that enabling the waffle flag for everyone will fix the issue and are comfortable releasing the feature to all users. For this reason, we are removing references to the flag.
[MST-1130](https://openedx.atlassian.net/browse/MST-1130)
Split modulestore persists data in three MongoDB "collections": course_index (list of courses and the current version of each), structure (outline of the courses, and some XBlock fields), and definition (other XBlock fields). While "structure" and "definition" data can get very large, which is one of the reasons MongoDB was chosen for modulestore, the course index data is very small.
This commit starts writing course indexes (active_versions) to both MySQL and Mongo, but continues to read from MongoDB only.
By moving course index data to MySQL / a django model, we get these advantages:
* Full history of changes to the course index data is now preserved
* Includes a django admin view to inspect the list of courses and libraries
* It's much easier to "reset" a corrupted course to a known working state, by using the simple-history revert tools from the django admin.
* The remaining MongoDB collections (structure and definition) are essentially just used as key-value stores of large JSON data structures. This paves the way for future changes that allow migrating courses one at a time from MongoDB to S3, and thus eliminating any use of MongoDB by split modulestore, simplifying the stack.