.

anatomy/models.py

@@ -213,6 +213,49 @@ class AnatomyQuestion(models.Model):
     def get_annotations(self):
         return self.image_annotations
 
+    def get_title(self):
+        return "{}".format(self.description)
+
+    def get_correct_unstripped_answers(self):
+        return set(
+            [
+                str(i)
+                for i in self.answers.filter(proposed=False)
+                if i.status == i.MarkOptions.CORRECT
+            ]
+        )
+
+    def get_question_json(self, based=True):
+        """Returns a json representation of the question"""
+
+        # Loop through rapidimage associations
+        images = []
+        annotations = []
+        feedback_images = []
+
+        if based:
+            images.append(image_as_base64(self.image))
+        else:
+            images.append("{}/{}".format(settings.REMOTE_URL, self.image.url))
+
+        if self.image_annotations:
+            annotations.append(str(self.image_annotations))
+
+
+
+        json = {
+            "images": images,
+            #"feedback_image": [],
+            "annotations": annotations,
+            "type": "anatomy",
+            "title": self.get_title(),
+            "question": str(self.question_type),
+        }
+
+        json["answers"] = list(self.get_correct_unstripped_answers())
+
+        return json
+
 
 @reversion.register
 class Answer(models.Model):
@@ -313,7 +356,7 @@ class Exam(ExamBase):
             exam_order.append(q.id)
 
             exam_questions[q.id] = {
-                "title": "{}".format(q.description),
+                "title": q.get_title(),
                 "question": str(q.question_type),
                 "images": [image_as_base64(q.image)],
                 "annotations": [str(q.image_annotations)],