Add HTMX-based aggregated response summary for exam questions

This commit is contained in:
Ross
2025-11-09 22:09:23 +00:00
parent 092c4a1be6
commit 3e9a96d99f
4 changed files with 116 additions and 41 deletions
+56
View File
@@ -120,6 +120,62 @@ def exam_review_question_responses(request, pk: int, q_index: int):
return render(request, "sbas/partials/exam_review_question_responses_fragment.html", context)
@login_required
def exam_review_question_summary(request, pk: int, q_index: int):
"""Return the aggregated response summary partial for a given exam question (HTMX-friendly).
Computes counts and percentages for choices a..e and returns the summary partial.
"""
exam = get_object_or_404(Exam, pk=pk)
questions = exam.get_questions()
try:
question = questions[q_index]
except Exception:
raise Http404("Question not found in exam")
# Aggregate user answers for this question & exam
ua_qs = question.cid_user_answers.filter(exam=exam)
total_responses = ua_qs.count()
counts = {"a": 0, "b": 0, "c": 0, "d": 0, "e": 0}
for ans in ua_qs.values_list("answer", flat=True):
if ans in counts:
counts[ans] += 1
else:
# Unexpected answer labels — store them as-is (rare)
counts[ans] = counts.get(ans, 0) + 1
pcts = {}
if total_responses:
for k, v in counts.items():
pcts[k] = round(100.0 * v / total_responses, 1)
else:
for k in counts.keys():
pcts[k] = 0.0
correct_count = None
correct_pct = None
if hasattr(question, "best_answer") and question.best_answer:
correct_count = ua_qs.filter(answer=question.best_answer).count()
if total_responses:
correct_pct = round(100.0 * correct_count / total_responses, 1)
context = {
"exam": exam,
"question": question,
"q_index": q_index,
"app_name": "sbas",
"exam_response_counts": counts,
"exam_response_pcts": pcts,
"exam_response_total": total_responses,
"exam_response_correct_count": correct_count,
"exam_response_correct_pct": correct_pct,
}
return render(request, "sbas/partials/exam_review_question_summary_fragment.html", context)
class AuthorOrCheckerRequiredMixin(object):
def get_object(self, *args, **kwargs):
obj = super().get_object(*args, **kwargs)