Update src/core/QuizEngine.py

src/core/QuizEngine.py

@@ -104,18 +104,24 @@ class QuizEngine:
         )
     
     def construct_grading_prompt(self, question, answer, context_text):
-        return (
-            f"You are a Board Examiner.\n"
-            f"Reference Material: '{context_text}'\n\n"
-            f"Question: {question}\n"
-            f"Candidate Answer: {answer}\n\n"
-            f"TASK: Grade the answer based strictly on the Reference Material.\n"
-            f"1. If the answer is factually correct according to the text, grade PASS.\n"
-            f"2. If it misses key details mentioned in the text, grade FAIL or PASS with Comments.\n"
-            f"OUTPUT FORMAT:\n"
-            f"**GRADE:** [PASS/FAIL]\n"
-            f"**FEEDBACK:** [Brief correction or confirmation]"
-        )
+            """
+            Grades the answer using a composite context (Seed + RAG Results).
+            """
+            return (
+                f"You are a Board Examiner.\n"
+                f"Reference Material (Combined Sources):\n"
+                f"'''{context_text}'''\n\n"
+                f"Question: {question}\n"
+                f"Candidate Answer: {answer}\n\n"
+                f"TASK: Grade the answer based strictly on the Reference Material above.\n"
+                f"1. Search the Reference Material for the correct answer. The answer might be split across the Primary Source and Related Documentation.\n"
+                f"2. If the candidate's answer matches the facts found ANYWHERE in the text, grade PASS.\n"
+                f"3. If the candidate misses key details that ARE present in the text, grade FAIL or PASS with Comments.\n"
+                f"4. If the provided Reference Material does NOT contain the answer (i.e., retrieval failed), be lenient and grade based on general knowledge, but note 'Verified by General Knowledge' in the feedback.\n\n"
+                f"OUTPUT FORMAT:\n"
+                f"**GRADE:** [PASS/FAIL]\n"
+                f"**FEEDBACK:** [Brief correction or confirmation]"
+            )
     
     def construct_acronym_grading_prompt(self, term, correct_definition, user_answer):
         return (