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anatomy/views.py

@@ -399,126 +399,6 @@ def exam_scores_refresh(request, pk):
     )
 
 
-# @login_required
-# def exam_scores_cid(request, pk):
-#    exam = get_object_or_404(Exam, pk=pk)
-#
-#    if not exam.exam_mode:
-#        raise Http404("Packet not in exam mode")
-#
-#    questions = exam.exam_questions.all()
-#
-#    cids = (
-#        CidUserAnswer.objects.filter(question__in=questions, exam__id=pk)
-#        .order_by("cid")
-#        .values_list("cid", flat=True)
-#        .distinct()
-#    )
-#
-#    user_answers_and_marks = defaultdict(list)
-#    user_answers_marks = defaultdict(list)
-#    user_answers = defaultdict(list)
-#    user_names = {}
-#
-#    by_question = defaultdict(list)
-#    unmarked = set()
-#
-#    # Loop through all candidates
-#    for cid in cids:
-#        # Convoluted (probably...)
-#        user_names[cid] = cid
-#        for q in questions:
-#            # Get user answer
-#            s = q.cid_user_answers.filter(cid=cid, exam__id=pk).first()
-#            if not s:
-#                # skip if no answer
-#                user_answers_marks[cid].append(0)
-#                user_answers[cid].append("")
-#                by_question[q].append(("", 0))
-#                continue
-#
-#            ans = s.answer
-#            answer_score = s.get_answer_score()
-#            if answer_score == "unmarked":
-#                index = exam.get_question_index(q)
-#                unmarked.add(index)
-#            user_answers[cid].append(ans)
-#            user_answers_marks[cid].append(answer_score)
-#            user_answers_and_marks[cid].append((ans, answer_score))
-#
-#            by_question[q].append((ans, answer_score))
-#
-#    user_scores = {}
-#    for user in user_answers_marks:
-#        user_scores[user] = sum(
-#            [i for i in user_answers_marks[user] if i != "unmarked"]
-#        )
-#
-#    user_scores_list = list(user_scores.values())
-#
-#    if len(user_scores_list) < 1:
-#        mean = 0
-#        median = 0
-#        mode = 0
-#        fig_html = ""
-#    else:
-#        mean = statistics.mean(user_scores_list)
-#        median = statistics.median(user_scores_list)
-#        try:
-#            mode = statistics.mode(user_scores_list)
-#        except statistics.StatisticsError:
-#            mode = "No unique mode"
-#
-#        df = user_scores_list
-#        fig = px.histogram(
-#            df,
-#            x=0,
-#            title="{}: distribution of scores".format(exam),
-#            labels={"0": "Score"},
-#            height=400,
-#            width=600,
-#        )
-#        fig_html = fig.to_html()
-#
-#    max_score = len(questions) * 2
-#
-#    exam.stats_mean = mean
-#    exam.stats_median = median
-#    exam.stats_mode = mode
-#
-#    exam.stats_candidates = len(user_scores_list)
-#    exam.stats_max_possible = max_score
-#
-#    exam.stats_min = min(user_scores_list)
-#    exam.stats_max = max(user_scores_list)
-#
-#    exam.stats_graph = fig_html
-#    exam.save()
-#
-#    return render(
-#        request,
-#        "anatomy/exam_scores.html",
-#        {
-#            "cids": cids,
-#            "exam": exam,
-#            "unmarked": unmarked,
-#            "questions": questions,
-#            "by_question": by_question,
-#            "user_answers": dict(user_answers),
-#            "user_answers_marks": dict(user_answers_marks),
-#            "user_scores": user_scores,
-#            "user_scores_list": user_scores_list,
-#            "user_names": user_names,
-#            "user_answers_and_marks": user_answers_and_marks,
-#            "max_score": max_score,
-#            "mean": mean,
-#            "median": median,
-#            "mode": mode,
-#            "plot": fig_html,
-#        },
-#    )
-
-
 def exam_scores_cid_user(request, pk, cid, passcode):
     exam = get_object_or_404(Exam, pk=pk)
 
@@ -589,89 +469,6 @@ def exam_scores_cid_user(request, pk, cid, passcode):
     )
 
 
-# @login_required
-# def exam_scores(request, pk):
-# exam = get_object_or_404(Exam, pk=pk)
-
-# questions = exam.exam_questions.all()
-
-# users = (CidUserAnswer.objects.filter(
-# question__in=questions).values_list("user").distinct())
-
-# user_answers_and_marks = defaultdict(list)
-# user_answers_marks = defaultdict(list)
-# user_answers = defaultdict(list)
-# user_names = {}
-
-# by_question = defaultdict(list)
-
-# for u in users:
-## Convoluted (probably...)
-# user_names[u] = User.objects.filter(pk=u[0]).first().get_username()
-# for q in questions:
-# user_answer = q.user_answers.filter(user__in=u).first()
-# if not user_answer:
-# user_answers_marks[u].append(0)
-# user_answers[u].append("")
-# continue
-
-# ans = user_answer.answer
-# answer_score = user_answer.get_answer_score()
-# user_answers[u].append(ans)
-# user_answers_marks[u].append(answer_score)
-# user_answers_and_marks[u].append((ans, answer_score))
-
-# by_question[q].append(ans)
-
-# user_scores = {}
-# for user in user_answers_marks:
-# user_scores[user] = sum(user_answers_marks[user])
-
-# total = len(questions)
-
-# return render(
-# request,
-# "anatomy/exam_scores.html",
-# {
-# "exam": exam,
-# "questions": questions,
-# "by_question": by_question,
-# "user_answers": dict(user_answers),
-# "user_answers_marks": dict(user_answers_marks),
-# "user_scores": user_scores,
-# "user_names": user_names,
-# "user_answers_and_marks": user_answers_and_marks,
-# },
-# )
-
-# def cid_scores(request, pk):
-#    #exam = get_object_or_404(Exam, pk=pk)
-#
-#    # TODO:Need some kind of test for cid
-#    cid = pk
-#
-#    #questions = exam.exam_questions.all()
-#    answers = CidUserAnswer.objects.filter(
-#        cid=cid)
-#
-#
-#    if not answers:
-#        raise Http404("cid not found")
-#
-#    exam_ids = answers.values_list("exam").distinct()
-#
-#    exams = Exam.objects.filter(id__in=exam_ids)
-#
-#
-#    return render(
-#        request,
-#        "anatomy/cid_scores.html",
-#        {
-#            "exams": exams,
-#            "cid": cid,
-#        },
-#    )
-
 
 class AnatomyQuestionCreateBase(RevisionMixin, LoginRequiredMixin, CreateView):
     model = AnatomyQuestion