By explicitly importing the legacy namespace classes, we make it clear
that we are using soon-to-be-deprecated classes. We will then be able to
start removing the legacy classes, one module at a time.
The LEPL dependency was triggering a lot of deprecation warnings of the
form:
venv/lib/python3.5/site-packages/lepl/matchers/support.py:497:
DeprecationWarning: inspect.getargspec() is deprecated, use
inspect.signature() instead
argspec = getargspec(func)
It turns out that LEPL was only used by the rfc6266_parser package, which
itself was only used in one place to generate utf8-compliant
Content-Disposition headers.
This issue was noticed here:
https://github.com/SWW13/python-rfc6266-parser/issues/2
Unfortunately it is quite difficult to extract LEPL from the
rfc6266-parser package.
The rfc6266-parser package (https://pypi.org/project/rfc6266-parser/) is
itself a fork of the now-unmaintained rfc6266 package
(https://pypi.org/project/rfc6266/). Thus, it became high time to get
rid of this package. The FileResponse object can appropriately set the
Content-Disposition header, and thus replace the rfc6266 functionality,
since Django 2.0: https://code.djangoproject.com/ticket/16470
In our testing, the FileResponse object correctly set the
`filename*=utf-8''` value, following the RFC. The only difference is
that it does not provide "filename" fallback value, as expressed in the
RFC: https://tools.ietf.org/html/rfc6266#appendix-D
With rfc6266_parser:
>> import rfc6266_parser
>> rfc6266_parser.build_header("my_file_é.csv", filename_compat="video_urls.csv")
b"attachment; filename=video_urls.csv; filename*=utf-8''my_file_%C3%A9.csv"
With FileResponse we have:
>> from django.http import FileResponse
>> import io
>> response = FileResponse(io.StringIO(), as_attachment=True, filename="my_file_é.csv", content_type="text/csv")
>> response.get("Content-Disposition")
"attachment; filename*=utf-8''my_file_%C3%A9.csv"
We consider that this is a sufficiently minor difference, that will
impact very few browsers.
Add a field to VEM config model that will decide the percentage of
courses allowed to go to VEM pipeline. The courses that don't meet the
criteria will go to VEDA.
PROD-1722
Add integration settings to enable upload of videos from from studio.
Settings enable user to connect to s3 bucket using mfa and assume role
functionality.
PROD-1214
