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.
101 lines
3.7 KiB
Python
101 lines
3.7 KiB
Python
"""
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Student and course analytics.
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Serve miscellaneous course and student data
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"""
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from django.contrib.auth.models import User
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import xmodule.graders as xmgraders
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STUDENT_FEATURES = ('username', 'first_name', 'last_name', 'is_staff', 'email')
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PROFILE_FEATURES = ('name', 'language', 'location', 'year_of_birth', 'gender',
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'level_of_education', 'mailing_address', 'goals')
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AVAILABLE_FEATURES = STUDENT_FEATURES + PROFILE_FEATURES
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def enrolled_students_features(course_id, features):
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"""
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Return list of student features as dictionaries.
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enrolled_students_features(course_id, ['username, first_name'])
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would return [
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{'username': 'username1', 'first_name': 'firstname1'}
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{'username': 'username2', 'first_name': 'firstname2'}
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{'username': 'username3', 'first_name': 'firstname3'}
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]
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"""
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students = User.objects.filter(
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courseenrollment__course_id=course_id,
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courseenrollment__is_active=1,
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).order_by('username').select_related('profile')
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def extract_student(student, features):
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""" convert student to dictionary """
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student_features = [x for x in STUDENT_FEATURES if x in features]
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profile_features = [x for x in PROFILE_FEATURES if x in features]
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student_dict = dict((feature, getattr(student, feature))
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for feature in student_features)
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profile = student.profile
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if profile is not None:
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profile_dict = dict((feature, getattr(profile, feature))
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for feature in profile_features)
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student_dict.update(profile_dict)
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return student_dict
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return [extract_student(student, features) for student in students]
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def dump_grading_context(course):
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"""
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Render information about course grading context
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(e.g. which problems are graded in what assignments)
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Useful for debugging grading_policy.json and policy.json
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Returns HTML string
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"""
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hbar = "{}\n".format("-" * 77)
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msg = hbar
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msg += "Course grader:\n"
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msg += '%s\n' % course.grader.__class__
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graders = {}
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if isinstance(course.grader, xmgraders.WeightedSubsectionsGrader):
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msg += '\n'
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msg += "Graded sections:\n"
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for subgrader, category, weight in course.grader.sections:
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msg += " subgrader=%s, type=%s, category=%s, weight=%s\n"\
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% (subgrader.__class__, subgrader.type, category, weight)
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subgrader.index = 1
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graders[subgrader.type] = subgrader
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msg += hbar
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msg += "Listing grading context for course %s\n" % course.id
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gcontext = course.grading_context
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msg += "graded sections:\n"
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msg += '%s\n' % gcontext['graded_sections'].keys()
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for (gsomething, gsvals) in gcontext['graded_sections'].items():
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msg += "--> Section %s:\n" % (gsomething)
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for sec in gsvals:
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sdesc = sec['section_descriptor']
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frmat = getattr(sdesc.lms, 'format', None)
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aname = ''
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if frmat in graders:
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gform = graders[frmat]
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aname = '%s %02d' % (gform.short_label, gform.index)
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gform.index += 1
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elif sdesc.display_name in graders:
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gform = graders[sdesc.display_name]
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aname = '%s' % gform.short_label
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notes = ''
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if getattr(sdesc, 'score_by_attempt', False):
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notes = ', score by attempt!'
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msg += " %s (format=%s, Assignment=%s%s)\n"\
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% (sdesc.display_name, frmat, aname, notes)
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msg += "all descriptors:\n"
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msg += "length=%d\n" % len(gcontext['all_descriptors'])
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msg = '<pre>%s</pre>' % msg.replace('<', '<')
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return msg
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