Enhance answer aggregation logic in exam review to handle diverse answer formats and improve robustness
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+94
-4
@@ -1206,8 +1206,57 @@ class ExamViews(View, LoginRequiredMixin):
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total_responses = ua_qs.count()
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counts = {}
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for ans in ua_qs.values_list("answer", flat=True):
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counts[ans] = counts.get(ans, 0) + 1
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# Some UserAnswer models (e.g. physics) do not have a single 'answer'
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# field. Try the simple values_list first; on failure fall back to
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# iterating objects and using get_answer() or composing from
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# per-field parts (a,b,c,d,e, or longs sections).
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try:
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for ans in ua_qs.values_list("answer", flat=True):
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counts[ans] = counts.get(ans, 0) + 1
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except Exception:
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for ua in ua_qs:
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ans_val = None
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# Prefer model helper if available
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try:
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if hasattr(ua, "get_answer"):
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ans_val = ua.get_answer()
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except Exception:
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ans_val = None
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if not ans_val:
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parts = []
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# Common single-letter fields used by physics
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for fld in ("a", "b", "c", "d", "e"):
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if hasattr(ua, fld):
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v = getattr(ua, fld)
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if v is None:
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continue
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if isinstance(v, (list, tuple)):
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parts.extend([str(x) for x in v])
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else:
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parts.append(str(v))
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# Long-form answer fields (longs)
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for fld in (
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"answer_observations",
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"answer_interpretation",
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"answer_principle_diagnosis",
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"answer_differential_diagnosis",
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"answer_management",
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):
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if hasattr(ua, fld):
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v = getattr(ua, fld)
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if v:
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parts.append(str(v))
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if parts:
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ans_val = ", ".join(parts)
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# Final fallback
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if ans_val is None:
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ans_val = ""
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counts[ans_val] = counts.get(ans_val, 0) + 1
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if total_responses:
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pcts = {k: round(100.0 * v / total_responses, 1) for k, v in counts.items()}
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@@ -1386,8 +1435,49 @@ class ExamViews(View, LoginRequiredMixin):
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ua_qs = question.cid_user_answers.filter(exam=exam)
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total_responses = ua_qs.count()
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counts = {}
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for ans in ua_qs.values_list("answer", flat=True):
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counts[ans] = counts.get(ans, 0) + 1
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try:
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for ans in ua_qs.values_list("answer", flat=True):
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counts[ans] = counts.get(ans, 0) + 1
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except Exception:
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for ua in ua_qs:
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ans_val = None
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try:
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if hasattr(ua, "get_answer"):
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ans_val = ua.get_answer()
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except Exception:
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ans_val = None
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if not ans_val:
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parts = []
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for fld in ("a", "b", "c", "d", "e"):
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if hasattr(ua, fld):
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v = getattr(ua, fld)
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if v is None:
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continue
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if isinstance(v, (list, tuple)):
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parts.extend([str(x) for x in v])
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else:
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parts.append(str(v))
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for fld in (
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"answer_observations",
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"answer_interpretation",
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"answer_principle_diagnosis",
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"answer_differential_diagnosis",
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"answer_management",
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):
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if hasattr(ua, fld):
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v = getattr(ua, fld)
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if v:
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parts.append(str(v))
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if parts:
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ans_val = ", ".join(parts)
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if ans_val is None:
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ans_val = ""
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counts[ans_val] = counts.get(ans_val, 0) + 1
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# Compute percentages per answer key
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pcts = {}
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+41
-10
@@ -466,16 +466,47 @@ def exam_review_question_summary(request, pk: int, q_index: int):
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# Physics answers may be stored as tuples/lists or named fields; attempt to aggregate
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counts = defaultdict(int)
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other_count = 0
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for ans in ua_qs.values_list("answer", flat=True):
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if not ans:
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other_count += 1
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continue
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# normalize iterable answers to a string key
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if isinstance(ans, (list, tuple)):
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key = ", ".join([str(x) for x in ans])
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else:
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key = str(ans)
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counts[key] += 1
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# Try simple 'answer' field aggregation first; if not present, fall
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# back to iterating objects and using get_answer() or composing parts.
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try:
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for ans in ua_qs.values_list("answer", flat=True):
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if not ans:
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other_count += 1
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continue
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if isinstance(ans, (list, tuple)):
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key = ", ".join([str(x) for x in ans])
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else:
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key = str(ans)
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counts[key] += 1
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except Exception:
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for ua in ua_qs:
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ans_val = None
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try:
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if hasattr(ua, "get_answer"):
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ans_val = ua.get_answer()
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except Exception:
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ans_val = None
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if not ans_val:
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parts = []
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for fld in ("a", "b", "c", "d", "e"):
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if hasattr(ua, fld):
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v = getattr(ua, fld)
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if v is None:
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continue
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if isinstance(v, (list, tuple)):
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parts.extend([str(x) for x in v])
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else:
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parts.append(str(v))
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if parts:
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ans_val = ", ".join(parts)
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if not ans_val:
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other_count += 1
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continue
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counts[ans_val] += 1
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counts["unanswered"] = other_count
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