def register_on_enable():
data_sources.Registry.register(ExamsDataSource)
data_sources.Registry.register(PupilsDataSource)
data_sources.Registry.register(AnswersDataSource)
exams = analytics.Visualization('exams', 'Exams',
'fake_visualizations.html',
[ExamsDataSource])
pupils = analytics.Visualization('pupils', 'Pupils',
'fake_visualizations.html',
[PupilsDataSource])
scoring = analytics.Visualization(
'scoring', 'Scoring', 'fake_visualizations.html',
[ExamsDataSource, PupilsDataSource, AnswersDataSource])
dashboard.DashboardHandler.add_sub_nav_mapping(
'analytics',
'exams',
'Exams',
action='analytics_exams',
contents=analytics.TabRenderer([exams]))
dashboard.DashboardHandler.add_sub_nav_mapping(
'analytics',
'pupils',
'Pupils',
action='analytics_pupils',
contents=analytics.TabRenderer([pupils]))
dashboard.DashboardHandler.add_sub_nav_mapping(
'analytics',
'scoring',
'Scoring',
action='analytics_scoring',
contents=analytics.TabRenderer([scoring]))
def register_callbacks():
# Update enrollments counters when a student enrolls, unenrolls.
models.StudentLifecycleObserver.EVENT_CALLBACKS[
models.StudentLifecycleObserver.EVENT_ADD][
MODULE_NAME] = _count_add
models.StudentLifecycleObserver.EVENT_CALLBACKS[
models.StudentLifecycleObserver.EVENT_REENROLL][
MODULE_NAME] = _count_add
models.StudentLifecycleObserver.EVENT_CALLBACKS[
models.StudentLifecycleObserver.EVENT_UNENROLL][
MODULE_NAME] = _count_drop
models.StudentLifecycleObserver.EVENT_CALLBACKS[
models.StudentLifecycleObserver.EVENT_UNENROLL_COMMANDED][
MODULE_NAME] = _count_drop
# Set counters for newly-created courses initially to zero (to avoid
# extraneous enrollments MapReduce runs).
config.CoursesItemRESTHandler.NEW_COURSE_ADDED_HOOKS[
MODULE_NAME] = _new_course_counts
# Delete the corresponding enrollments counters when a course is deleted.
config.CourseDeleteHandler.COURSE_DELETED_HOOKS[
MODULE_NAME] = delete_counters
# Register analytic to show nice zoomable graph of enroll/unenroll rates.
data_sources.Registry.register(EnrollmentsDataSource)
visualization = analytics.Visualization(
'enrollments', 'Enrollments', 'templates/enrollments.html',
data_source_classes=[EnrollmentsDataSource])
dashboard.DashboardHandler.add_sub_nav_mapping(
'analytics', 'enrollments', 'Enrollments',
action='analytics_enrollments',
contents=analytics.TabRenderer([visualization]))
def register_analytic():
data_sources.Registry.register(CertificatesEarnedDataSource)
name = 'certificates_earned'
title = 'Certificates Earned'
certificates_earned = analytics.Visualization(
name, title, 'certificates_earned.html',
data_source_classes=[CertificatesEarnedDataSource])
tabs.Registry.register('analytics', name, title,
analytics.TabRenderer([certificates_earned]))
def register_analytic():
data_sources.Registry.register(PeerReviewStatsSource)
name = 'peer_review'
title = 'Peer Review'
peer_review = analytics.Visualization(
name, title, 'stats.html',
data_source_classes=[PeerReviewStatsSource])
tabs.Registry.register('analytics', name, title,
analytics.TabRenderer([peer_review]))
def register_analytic():
data_sources.Registry.register(CertificatesEarnedDataSource)
name = 'certificates_earned'
title = 'Certificates'
certificates_earned = analytics.Visualization(
name, title, 'certificates_earned.html',
data_source_classes=[CertificatesEarnedDataSource])
dashboard.DashboardHandler.add_sub_nav_mapping(
'analytics', name, title, action='analytics_certificates_earned',
contents=analytics.TabRenderer([certificates_earned]))
def register_analytic():
data_sources.Registry.register(NotificationsDataSource)
name = 'notifications'
title = 'Notifications'
visualization = analytics.Visualization(
name,
title,
'stats.html',
data_source_classes=[NotificationsDataSource])
tabs.Registry.register('analytics', name, title,
analytics.TabRenderer([visualization]))
def register_on_enable():
data_sources.Registry.register(ExamsDataSource)
data_sources.Registry.register(PupilsDataSource)
data_sources.Registry.register(AnswersDataSource)
exams = analytics.Visualization('exams', 'Exams',
'fake_visualizations.html',
[ExamsDataSource])
pupils = analytics.Visualization('pupils', 'Pupils',
'fake_visualizations.html',
[PupilsDataSource])
scoring = analytics.Visualization(
'scoring', 'Scoring', 'fake_visualizations.html',
[ExamsDataSource, PupilsDataSource, AnswersDataSource])
tabs.Registry.register('analytics', 'exams', 'Exams',
analytics.TabRenderer([exams]))
tabs.Registry.register('analytics', 'pupils', 'Pupils',
analytics.TabRenderer([pupils]))
tabs.Registry.register('analytics', 'scoring', 'Scoring',
analytics.TabRenderer([scoring]))
def register_analytic():
data_sources.Registry.register(PeerReviewStatsSource)
name = 'peer_review'
title = 'Peer review'
peer_review = analytics.Visualization(
name, title, 'stats.html', data_source_classes=[PeerReviewStatsSource])
dashboard.DashboardHandler.add_sub_nav_mapping(
'analytics',
name,
title,
action='analytics_peer_review',
contents=analytics.TabRenderer([peer_review]),
placement=7000)
def register_analytic():
data_sources.Registry.register(NotificationsDataSource)
name = 'notifications'
title = 'Notifications'
visualization = analytics.Visualization(
name,
title,
'stats.html',
data_source_classes=[NotificationsDataSource])
dashboard.DashboardHandler.add_sub_nav_mapping(
'analytics',
name,
title,
action='analytics_notifications',
contents=analytics.TabRenderer([visualization]))
def register_analytic():
"""This isn't exactly an analytic, but we register that way to be included
with the other analytics sub-tabs on the Dashboard."""
name = 'sample_data'
title = 'Generate Sample Data'
sample_data = analytics.Visualization(
name, title,
os.path.join('modules', 'gen_sample_data', 'templates',
'sample_data.html'))
dashboard.DashboardHandler.add_sub_nav_mapping(
'analytics',
name,
title,
action='analytics_sample_data',
contents=analytics.TabRenderer([sample_data]))
def register_tabs():
multiple_choice_question = analytics.Visualization(
'multiple_choice_question',
'Multiple Choice Question',
'multiple_choice_question.html',
data_source_classes=[synchronous_providers.QuestionStatsSource])
student_progress = analytics.Visualization(
'student_progress',
'Student Progress',
'student_progress.html',
data_source_classes=[synchronous_providers.StudentProgressStatsSource])
enrollment_assessment = analytics.Visualization(
'enrollment_assessment',
'Enrollment/Assessment',
'enrollment_assessment.html',
data_source_classes=[
synchronous_providers.StudentEnrollmentAndScoresSource
])
assessment_difficulty = analytics.Visualization(
'assessment_difficulty',
'Assessment Difficulty',
'assessment_difficulty.html',
data_source_classes=[rest_providers.StudentAssessmentScoresDataSource])
labels_on_students = analytics.Visualization(
'labels_on_students',
'Labels on Students',
'labels_on_students.html',
data_source_classes=[rest_providers.LabelsOnStudentsDataSource])
question_answers = analytics.Visualization(
'question_answers',
'Question Answers',
'question_answers.html',
data_source_classes=[
student_answers.QuestionAnswersDataSource,
student_answers.CourseQuestionsDataSource,
student_answers.CourseUnitsDataSource
])
gradebook = analytics.Visualization(
'gradebook',
'Gradebook',
'gradebook.html',
data_source_classes=[
student_answers.RawAnswersDataSource,
student_answers.OrderedQuestionsDataSource
])
clusters_visualization = analytics.Visualization(
'clusters',
'Cluster Manager',
'clustering.html',
data_source_classes=[clustering.ClusterDataSource])
student_vectors_visualization = analytics.Visualization(
'student_vectors',
'Student Vectors',
'student_vectors.html',
data_source_classes=[clustering.TentpoleStudentVectorDataSource])
stats_visualization = analytics.Visualization(
'clustering_stats',
'Clustering Statistics',
'cluster_stats.html',
data_source_classes=[clustering.ClusterStatisticsDataSource])
dashboard.DashboardHandler.add_sub_nav_mapping(
ANALYTICS,
'students',
'Students',
action='analytics_students',
contents=analytics.TabRenderer(
[labels_on_students, student_progress, enrollment_assessment]),
placement=1000)
dashboard.DashboardHandler.add_sub_nav_mapping(
ANALYTICS,
'questions',
'Questions',
action='analytics_questions',
contents=analytics.TabRenderer(
[multiple_choice_question, question_answers]),
placement=2000)
dashboard.DashboardHandler.add_sub_nav_mapping(
ANALYTICS,
'assessments',
'Assessments',
action='analytics_assessments',
contents=analytics.TabRenderer([assessment_difficulty]),
placement=3000)
dashboard.DashboardHandler.add_sub_nav_mapping(
ANALYTICS,
'gradebook',
'Gradebook',
action='analytics_gradebook',
contents=analytics.TabRenderer([gradebook]),
placement=5000)
dashboard.DashboardHandler.add_sub_nav_mapping(
ANALYTICS,
'clustering',
'Clustering',
action='analytics_clustering',
contents=analytics.TabRenderer([
clusters_visualization, student_vectors_visualization,
stats_visualization
]),
placement=8000)
