Extend the capabilities of the REGISTRATION_OPTIONAL_FIELDS
configuration variable, to allow to select, for each individual field,
if it should be 'hidden', 'optional' or 'required'.
Rename the configuration variable to REGISTRATION_EXTRA_FIELDS to reflect
the additional capabilities, and updates the defaults.
As extra fields, configurable through the REGISTRATION_EXTRA_FIELDS
variable. Hidden by default.
Tickets: MCKIN-168 MCKIN-184
Note: Studio also has a registration page, which uses the same account
creation page. It should be possible to use it without requiring the
variable from the LMS, as the fields are different.
First set of fixes from the pull request
This does not include some of the testing files. The textannotation and
videoannotation test files are not ready. waiting for an answer on the
issue.
Deleted token line in api.py and added test for token generator
Added notes_spec.coffee
remove spec file
fixed minor error with the test
fixes some quality errors
fixed unit test
fixed unit test
added advanced module
Added notes_spec.coffee
remove spec file
Quality and Testing Coverage
1. in test_textannotation.py I already check for line 75 as it states
in the diff in line 43, same with test_videoanntotation
2. Like you said, exceptions cannot be checked for
firebase_token_generator.py. The version of python that is active on
the edx server is 2.7 or higher, but the code is there for correctness.
Error checking works the same way.
3. I added a test for student/views/.py within tests and deleted the
unused secret assignment.
4. test_token_generator.py is now its own file
Added Secret Token data input
fixed token generator
Annotation Tools in Place
The purpose of this pull request is to install two major modules: (1) a
module to annotate text and (2) a module to annotate video. In either
case an instructor can declare them in advanced settings under
advanced_modules and input content (HTML in text, mp4 or YouTube videos
for video). Students will be able to highlight portions and add their
comments as well as reply to each other. There needs to be a storage
server set up per course as well as a secret token to talk with said
storage.
Changes:
1. Added test to check for the creation of a token in tests.py (along
with the rest of the tests for student/view.py)
2. Removed items in cms pertaining to annotation as this will only be
possible in the lms
3. Added more comments to firebase_token_generator.py, the test files,
students/views.py
4. Added some internationalization stuff to textannotation.html and
videoannotation.html. I need some help with doing it in javascript, but
the html is covered.
incorporated lib for traslate
fixed quality errors
fixed my notes with catch token
Text and Video Annotation Modules - First Iteration
The following code-change is the first iteration of the modules for
text and video annotation.
Installing Modules:
1. Under “Advanced Settings”, add “textannotation” and
“videoannotation” to the list of advanced_modules.
2. Add link to an external storage for annotations under
“annotation_storage_url”
3. Add the secret token for talking with said storage under
“annotation_token_secret”
Using Modules
1. When creating new unit, you can find Text and Video annotation
modules under “Advanced” component
2. Make sure you have either Text or Video in one unit, but not both.
3. Annotations are only allowed on Live/Public version and not Studio.
Added missing templates and fixed more of the quality errors
Fixed annotator not existing issue in cmd and tried to find the get_html() from the annotation module class to the descriptor
Added a space after # in comments
Fixed issue with an empty Module and token links
Added licenses and fixed vis naming scheme and location.
configure middleware
add test for session inactive timeouts
add Studio inactive session timeout test
change login method used
add create_test_account to test
make sure the expected redirect URL is right
fix indenting problem
fix doc string since we moved from minutes to seconds
use utility methods rather than calling another test to set up and activate an account
clean up code violations
respond to PR feedback
use optional params to make code cleaner
pylint fix on test files
The submission time is serialized into json and sent to xqueue. Previously the
whole json body argument to send_to_queue() was being matched. Sometimes the
time calculated in the test would differ slightly from the time calculated in
send_to_grader() and the test would fail. This fix tests individual fields of
the body argument to mock_send_to_queue() instead.
* output after cert_whitelist -a or -d purported to be the whitelist entries
for the requested course, but in fact were all of the entries in every
course. This commit fixes that.
