Handle multiple chained submissions

common/lib/xmodule/xmodule/combined_open_ended_module.py

@@ -115,8 +115,7 @@ class CombinedOpenEndedModule(XModule):
             elif current_task_state is None and self.current_task_number>0:
                 last_response, last_score=self.get_last_response(self.current_task_number-1)
                 current_task_state = ('{"state": "assessing", "version": 1, "max_score": ' + str(self._max_score) + ', ' +
-                                      '"attempts": 0, "history": [{"answer": "' + str(last_response) + '"}]}')
-                {"state": "done", "version": 1, "max_score": 1, "attempts": 1, "history": [{"answer": "gdgddg", "score": 0, "hint": "dfdfdf"}]}
+                                      '"attempts": 0, "created": True, "history": [{"answer": "' + str(last_response) + '"}]}')
                 self.current_task=self_assessment_module.SelfAssessmentModule(self.system, self.location, self.current_task_parsed_xml, self.current_task_descriptor, instance_state=current_task_state)
                 self.task_states.append(self.current_task.get_instance_state())
                 self.state=self.ASSESSING
@@ -131,9 +130,8 @@ class CombinedOpenEndedModule(XModule):
                 self.state=self.ASSESSING
             elif current_task_state is None and self.current_task_number>0:
                 last_response, last_score=self.get_last_response(self.current_task_number-1)
-                current_task_state = ('{"state": "initial", "version": 1, "max_score": ' + str(self._max_score) + ', ' +
-                                      '"attempts": 0, "history": [{"answer": "' + str(last_response) + '"}]}')
-                {"state": "done", "version": 1, "max_score": 1, "attempts": 1, "history": [{"answer": "gdgddg", "score": 0, "hint": "dfdfdf"}]}
+                current_task_state = ('{"state": "assessing", "version": 1, "max_score": ' + str(self._max_score) + ', ' +
+                                      '"attempts": 0, "created": True, "history": [{"answer": "' + str(last_response) + '"}]}')
                 self.current_task=open_ended_module.OpenEndedModule(self.system, self.location, self.current_task_parsed_xml, self.current_task_descriptor, instance_state=current_task_state)
                 self.task_states.append(self.current_task.get_instance_state())
                 self.state=self.ASSESSING

common/lib/xmodule/xmodule/open_ended_module.py

@@ -116,6 +116,14 @@ class OpenEndedModule():
 
         self.state = instance_state.get('state', 'initial')
 
+        self.created = instance_state.get('created', False)
+
+        if self.created and self.state == self.ASSESSING:
+            self.created=False
+            self.get_score(self.latest_answer(), system)
+
+        self.created=False
+
         self.attempts = instance_state.get('attempts', 0)
         self.max_attempts = int(instance_state.get('attempts', MAX_ATTEMPTS))
 
@@ -532,11 +540,7 @@ class OpenEndedModule():
             return self.out_of_sync_error(get)
 
         # add new history element with answer and empty score and hint.
-        if(len(self.history)>0):
-            if(len(self.history[-1].keys())>1):
         self.new_history_entry(get['student_answer'])
-            else:
-                get['student_answer']=self.latest_answer()
         self.get_score(get['student_answer'], system)
         self.change_state(self.ASSESSING)
 
@@ -583,6 +587,7 @@ class OpenEndedModule():
             'state': self.state,
             'max_score': self._max_score,
             'attempts': self.attempts,
+            'created' : self.created,
             }
         return json.dumps(state)
 

common/lib/xmodule/xmodule/self_assessment_module.py

@@ -107,6 +107,8 @@ class SelfAssessmentModule():
         # Scores are on scale from 0 to max_score
         self.history = instance_state.get('history', [])
 
+        self.created = instance_state.get('created', False)
+
         self.state = instance_state.get('state', 'initial')
 
         self.attempts = instance_state.get('attempts', 0)
@@ -489,6 +491,7 @@ class SelfAssessmentModule():
                  'state': self.state,
                  'max_score': self._max_score,
                  'attempts': self.attempts,
+                 'created' : self.created,
         }
         return json.dumps(state)