.

longs/views.py

@@ -75,6 +75,26 @@ import os
 
 logger = logging.getLogger(__name__)
 
+def normaliseScore(score):
+    if score >= 25.5 and score <= 28:
+        return 4.5
+    elif score >= 28.5 and score <= 31:
+        return 5
+    elif score >= 31.5 and score <= 34:
+        return 5.5
+    elif score >= 34.5 and score <= 37:
+        return 6
+    elif score >= 37.5 and score <= 40:
+        return 6.5
+    elif score >= 40.5 and score <= 43:
+        return 7
+    elif score >= 43.5 and score <= 46:
+        return 7.5
+    elif score >= 46.5 and score <= 48:
+        return 7.5
+    
+    return 4
+
 
 class AuthorOrCheckerRequiredMixin(object):
     def get_object(self, *args, **kwargs):
@@ -822,10 +842,13 @@ def exam_scores_cid(request, pk):
             by_question[q].append((ans, answer_score))
 
     user_scores = {}
+    user_scores_normalised = {}
     for user in user_answers_marks:
         user_scores[user] = sum(
             [i for i in user_answers_marks[user] if i != ""]
         )
+        user_scores_normalised = normaliseScore(user_scores[user])
+
 
     user_scores_list = list(user_scores.values())
 
@@ -867,6 +890,7 @@ def exam_scores_cid(request, pk):
             #"user_answers": dict(user_answers),
             "user_answers_marks": dict(user_answers_marks),
             "user_scores": user_scores,
+            "user_scores_normalised": user_scores_normalised,
             "user_scores_list": user_scores_list,
             "user_names": user_names,
             #"user_answers_and_marks": user_answers_and_marks,
@@ -924,6 +948,7 @@ def exam_scores_cid_user(request, pk, sk):
         total_score = "{} ({} unmarked)".format(total_score, unmarked_number)
     else:
         total_score = sum(answered)
+    normalised_score = normaliseScore(total_score)
 
     max_score = len(questions) * 2
 
@@ -937,6 +962,7 @@ def exam_scores_cid_user(request, pk, sk):
             #"answers": answers,
             "answers_marks": answers_marks,
             "total_score": total_score,
+            "normalised_score": normalised_score,
             "max_score": max_score,
             "answer_text": answer_text
             #"answers_and_marks": answers_and_marks,