Exemple #1
0
def exercisemetrics():
    if "chapter" not in request.vars:
        logger.error(
            "It Appears exercisemetrics was called without any request vars")
        session.flash = "Cannot call exercisemetrics directly"
        redirect(URL("dashboard", "index"))
    chapter = request.vars["chapter"]
    base_course = (db(db.courses.course_name ==
                      auth.user.course_name).select().first().base_course)
    chapter = (db(((db.chapters.course_id == auth.user.course_name)
                   | (db.chapters.course_id == base_course))
                  & (db.chapters.chapter_label == chapter)).select().first())
    if not chapter:
        logger.error("Error -- No Chapter information for {} and {}".format(
            auth.user.course_name, request.vars["chapter"]))
        session.flash = "No Chapter information for {} and {}".format(
            auth.user.course_name, request.vars["chapter"])
        redirect(URL("dashboard", "index"))

    # TODO: When all old style courses were gone this can be just a base course
    data_analyzer = DashboardDataAnalyzer(auth.user.course_id, chapter)
    data_analyzer.load_exercise_metrics(request.vars["id"])
    problem_metrics = data_analyzer.problem_metrics

    prob_id = request.vars["id"]
    answers = []
    attempt_histogram = []
    logger.debug(problem_metrics.problems)
    try:
        problem_metric = problem_metrics.problems[prob_id]
    except KeyError:
        session.flash = f"Not enough data for {prob_id}"
        redirect(request.env.http_referer)
    response_frequency = problem_metric.aggregate_responses

    for username, user_responses in six.iteritems(
            problem_metric.user_responses):
        responses = user_responses.responses[:4]
        responses += [""] * (4 - len(responses))
        answers.append({
            "user": user_responses.user,
            "username": user_responses.username,
            "answers": responses,
        })

    for attempts, count in six.iteritems(
            problem_metric.user_number_responses()):
        attempt_histogram.append({"attempts": attempts, "frequency": count})

    return dict(
        course=get_course_row(db.courses.ALL),
        answers=answers,
        response_frequency=response_frequency,
        attempt_histogram=attempt_histogram,
        exercise_label=problem_metric.problem_text,
    )
Exemple #2
0
def exercisemetrics():
    if 'chapter' not in request.vars:
        logger.error(
            "It Appears exercisemetrics was called without any request vars")
        session.flash = "Cannot call exercisemetrics directly"
        redirect(URL('dashboard', 'index'))
    chapter = request.get_vars['chapter']
    chapter = db((db.chapters.course_id == auth.user.course_name)
                 & (db.chapters.chapter_label == chapter)).select().first()
    data_analyzer = DashboardDataAnalyzer(auth.user.course_id, chapter)
    data_analyzer.load_exercise_metrics(request.get_vars["id"])
    problem_metrics = data_analyzer.problem_metrics

    prob_id = request.get_vars["id"]
    answers = []
    attempt_histogram = []
    logger.debug(problem_metrics.problems)
    problem_metric = problem_metrics.problems[prob_id]
    response_frequency = problem_metric.aggregate_responses

    for username, user_responses in six.iteritems(
            problem_metric.user_responses):
        responses = user_responses.responses[:4]
        responses += [''] * (4 - len(responses))
        answers.append({
            "user": user_responses.user,
            "username": user_responses.username,
            "answers": responses
        })

    for attempts, count in six.iteritems(
            problem_metric.user_number_responses()):
        attempt_histogram.append({"attempts": attempts, "frequency": count})

    return dict(course=get_course_row(db.courses.ALL),
                answers=answers,
                response_frequency=response_frequency,
                attempt_histogram=attempt_histogram,
                exercise_label=problem_metric.problem_text)