示例#1
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def get_course_mau_history_metrics(site, course_id, date_for, months_back):
    """Quick copy/modification of 'get_monthly_history_metric' for Course MAU
    """
    date_for = as_date(date_for)
    history = []

    for year, month, _ in previous_months_iterator(
            month_for=date_for,
            months_back=months_back,
    ):

        period = '{year}/{month}'.format(year=year, month=str(month).zfill(2))
        active_users = get_mau_from_site_course(site=site,
                                                course_id=course_id,
                                                year=year,
                                                month=month)
        history.append(dict(
            period=period,
            value=active_users.count(),
        ))

    if history:
        # use the last entry
        current_month = history[-1]['value']
    else:
        # This should work for float too since '0 == 0.0' resolves to True
        current_month = 0
    return dict(current_month=current_month, history=history)
示例#2
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def test_get_mau_from_site_course(sm_test_data):
    """Basic test for coverage with simple check
    TODO: Improve by adding more students to the StudentModule instances for
    the first course constructed in the `sm_test_data` fixture data set.
    """
    year_for = sm_test_data['year_for']
    month_for = sm_test_data['month_for']
    site = sm_test_data['site']

    # Get first course, check student modules for that
    course_overview = sm_test_data['course_overviews'][0]
    users = get_mau_from_site_course(site=site,
                                     course_id=str(course_overview.id),
                                     year=year_for,
                                     month=month_for)
    course_sm = StudentModule.objects.filter(course_id=course_overview.id)
    sm_check = course_sm.values_list('student__id', flat=True).distinct()
    assert set(users) == set(sm_check)
示例#3
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def get_month_course_metrics(site, course_id, month_for, **_kwargs):
    """Returns a dict with the metrics for the given site, course, month

    This function provides first generation metrics
    Initially this function returns a partial set of the course monthly metrics:
    * active users
    * course enrollments
    * number of learners completed
    """
    # TODO: handle invalid "month_for" exception
    # month, year = [int(val) for val in month_for.split('/')]
    # start_date = datetime.date(year=year, month=month, day=1)
    # end_date = datetime.date(year=year, month=month, day=days_in_month(start_date))

    first_day, last_day = first_last_days_for_month(month_for)
    params_dict = dict(site=site,
                       course_id=course_id,
                       start_date=first_day,
                       end_date=last_day)

    active_users = get_mau_from_site_course(site=site,
                                            course_id=course_id,
                                            year=first_day.year,
                                            month=first_day.month)
    course_enrollments = get_course_enrolled_users_for_time_period(
        **params_dict)
    num_learners_completed = get_course_num_learners_completed_for_time_period(
        **params_dict)
    avg_days_to_complete = get_course_average_days_to_complete_for_time_period(
        **params_dict)
    avg_progress = get_course_average_progress_for_time_period(**params_dict)

    return dict(
        course_id=course_id,
        month_for=month_for,
        active_users=active_users.count(),
        course_enrollments=course_enrollments,
        num_learners_completed=num_learners_completed,
        avg_days_to_complete=avg_days_to_complete,
        avg_progress=avg_progress,
    )