fix PEP8 W291 trailing whitespace
fix too long lines
adding specified django settings for edx-notes-api
change toggle_description
checking CI tests
Final corrections for ENABLE_EDXNOTES toggle
Adds a warning against import any additional settings
from LMS in CMS due to its incompatibility with our
future direction. For more details, see the warning.
The learning_sequences app has its own model for Course Outlines.
Prior to this commit, these course outlines were only populated by
a management command in the learning_sequences app that queried
modulestore. This commit does a few things:
1. Move the update_course_outline command to live in contentstore
(i.e. Studio). This makes learning_sequences unaware of
modulestore, and makes it easier for us to extract it from
edx-platform (or to plug in different kinds of course outlines).
2. Add tests.
3. Add performance and debug logging to course outline creation.
4. Make course outline creation happen every time a course publish
happens.
This will allow us to start collecting data about how long building
course outlines takes, and get error reporting around any content
edge cases that break the course outline code.
* import task decorator from celery APP instance instead of celery package in CMS
* replaced task decorator with shared_task in cms and common
* Fixed import of shared_task
* Fixed import
This annotation was causing a linting failure, and a TypeError down the road in
the feature toggle report processing step by
edx-toggles/scripts/feature_toggle_report.py.
On a platform that is configured to upload video transcripts to S3
(`DEFAULT_FILE_STORAGE = "storages.backends.s3boto3.S3Boto3Storage"`),
uploads from the studio fail with a TypeError: "Unicode-objects must be
encoded before hashing"
A full stacktrace of the issue can be found here:
https://sentry.overhang.io/share/issue/2249b6f67d794c7e986cc288758f4ebe/
This error is triggered by md5 hashing in the botocore library, which
itself is used by the S3Boto3Storage storage class. This error does not
occur with filesystem-based uploads because it does not perform checksum
verification. The reason why this error would not occur on edx.org is
unknown. Similar issues were already fixed from edxval.
To address this issue, we encode the transcript file content prior to
sending it to s3.
