Also clarifies the contraction of location.course_id by throwing an exception for lcoations that are not of category course.
Add test for course_id method.
Features coming down the pipe will want to be able to:
* Refer to enrollments before they are actually activated (approval step).
* See what courses a user used to be enrolled in for when they re-enroll in
the same course, or a different run of that course.
* Have different "modes" of enrolling in a course, representing things like
honor certificate enrollment, auditing (no certs), etc.
This change adds an is_active flag and mode (with default being "honor").
The commit is only as large as it is because many parts of the codebase were
manipulating enrollments by adding and removing CourseEnrollment objects
directly. It was necessary to create classmethods on CourseEnrollment to
encapsulate this functionality and then port everything over to using them.
The migration to add columns has been tested on a prod replica, and seems to be
fine for running on a live system with single digit millions of rows of
enrollments.
So that instructors have easy access to the mapping from anonymized
IDs (a simple MD5 hash of the user ID that's used when integrating
with third-party services like Qualtrics) to user IDs, we have a
simple Django management command to generate a CSV mapping. To run,
use the following:
rake django-admin[anonymized_id_mapping,<system>,<env>,<course_id>]
And, of course, substitute the appropriate values for <system>, <env>,
and <course_id>. (E.g., lms, dev, and MITx/6.002x/Circuits)
Named `FormulaEquationInput` (name up for debate)
- Based off ChemEqnIn
- Add FormulaEquationInput in inputtypes.py
- Add a call to a skeleton method for a preview
javascript:
- Queue up some MathJax
- Put some ordering on the AJAX requests: add a parameter when the request was started, when it returns check that it isn't outdated before displaying the preview
- Tests
Note: we moved the `jsinput` tests and DISABLED them, because they were causing the tests to fail.
- Create a method called `parse_algebra`. It takes a string of math and returns with a `pyparsing.ParseResults` object representing it.
- `evaluator` takes this tree and applies the old "parse actions" to it to get the same number as it used to.
- Change calc's API: `evaluator` to use `case_sensitive` rather than `cs`
- Add most of the capability for latex rendering
Fixed all common and LMS tests.
The tests were failing because XMLDescriptor adds in some attributes
to _model_data, such as `xml_attributes`, that aren't necessary. The
solution is to handle all XML parsing in VideoDescriptor. There's
still one test failing in CMS, which has to do with metadata being
saved. I'm still working out how to update it in such a way that it
doesn't fail, but still tests something meaningful.
