Users will first be shown the first 25 responses of a viewed thread and
then have the option of loading 100 more at a time until all responses
have been loaded. This mitigates the performance impact of very large
threads by avoiding the need to render and transfer over the network
all content of a large thread at once. It will also allow students with
slower browsers to interact with large threads even if they cannot load
all of the responses.
- Clarify checkbox description wording
- Wrap checkbox and envelope icon in div to make it stand out
- Added styling for wrapper div
- Wrap label element around div to allow clicking the envelope to activate the checkbox
- Indented HTML and fixed if wrapping issue
Added a banner that students can use to dismiss the "you have failed reverification" message. Also, removed unused code, wired up the sidebar for design
Quick-and-dirty end-to-end flow, functional for at least the case of one course in need of re-verification.
Ready for design to start taking a look; still needs tests and code cleanup
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.
Updating Annotator CSS
The change in the css keeps fonts as they were and does not change them
purely based on annotating a section.
Fixed Annotation issue with static_url oversight
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.
