more fixes

anatomy/models.py

@@ -109,6 +109,15 @@ class AnatomyQuestion(models.Model):
             return "{} ({}) [{}, {}]".format(a.answer, exams, self.modality,
                                              self.structure)
 
+    def GetPrimaryAnswer(self):
+        return self.answers.all().first().answer
+
+    def GetExams(self):
+        e = self.exams.all().values_list("name", flat=True)
+        exams = ", ".join(e)
+        return exams
+
+
     def GetUnmarkedAnswersString(self):
         unmarked_answers = self.GetUnmarkedAnswers()
 

anatomy/templates/anatomy/exam_overview.html

@@ -12,7 +12,10 @@
 <ol>
     {% for question in questions.all %}
 
-<li>{{ question }}<img src="{{ question.image|thumbnail_url:'exam-list' }}" alt="thumbail" /></li>
+<li>{{ question.description }}: {{ question.GetPrimaryAnswer }}<img src="{{ question.image|thumbnail_url:'exam-list' }}" alt="thumbail" />
+<br />
+Exams: {{ question.GetExams }} / Modality: {{ question.modality }}
+</li>
         {% endfor %}
 </ol>
 <a href="{% url 'anatomy:exam_json' pk=exam.pk %}">JSON</a>

anatomy/templates/anatomy/exam_scores_user.html

@@ -2,12 +2,14 @@
 
 {% block content %}
 <div class="anatomy">
-    <h2>{{ exam.name }}</h2>
-    <h3>Candidate: {{ user_names|get_item:user }}</h3>
-    <!-- Answers: {{ user_answers_and_marks|get_item:user }}-->
-    Answers: {% for ans, score in answers_and_marks %}
+    <h2>Exam: {{ exam.name }}</h2>
+    <h3>Candidate: {{ cid }}</h3>
+    Answers: 
+    <ul>{% for ans, score, correct_answer in answers_and_marks %}
+    <li>Question {{forloop.counter}}: {{ correct_answer }}</li>
     {{ans}} ({{score}}),
     {% endfor %}
-    <br /> Total mark: {{ score }}
+    </ul>
+    <br /> Total mark: {{ total_score }}
 </div>
 {% endblock %}

anatomy/views.py

@@ -549,16 +549,23 @@ def exam_scores_cid(request, pk):
         user_scores[user] = sum(user_answers_marks[user])
 
     user_scores_list = list(user_scores.values())
-    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)
-    fig_html = fig.to_html()
+    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)
+        fig_html = fig.to_html()
 
     total = len(questions)
 
@@ -592,6 +599,7 @@ def exam_scores_cid_user(request, pk, sk):
     answers_marks = []
     answers = []
 
+
     for q in questions:
         # Get user answer
         s = q.cid_user_answers.filter(cid=cid)
@@ -608,11 +616,12 @@ def exam_scores_cid_user(request, pk, sk):
             a = 1
         else:
             a = 0
+        correct_answer = q.GetPrimaryAnswer()
         answers.append(ans)
         answers_marks.append(a)
-        answers_and_marks.append((ans, a))
+        answers_and_marks.append((ans, a, correct_answer))
 
-    score = sum(answers_marks)
+    total_score = sum(answers_marks)
 
     total = len(questions)
 
@@ -625,7 +634,7 @@ def exam_scores_cid_user(request, pk, sk):
             "questions": questions,
             "answers": answers,
             "answers_marks": answers_marks,
-            "score": score,
+            "total_score": total_score,
             "answers_and_marks": answers_and_marks,
         },
     )