Update src/core/QuizEngine.py

src/core/QuizEngine.py

@@ -85,28 +85,24 @@ class QuizEngine:
         return None
 
     def construct_question_generation_prompt(self, context_text):
-        """
-        REVISED PROMPT: Focuses on Professional Knowledge.
-        """
-        return (
-            f"Act as a US Navy Engineering Duty Officer Board Examiner.\n"
-            f"Review the following source text for suitability:\n"
-            f"'''{context_text}'''\n\n"
-            f"EVALUATION CRITERIA:\n"
-            f"You are looking for **Examinable Professional Knowledge** in ANY of these domains:\n"
-            f"- Technical Engineering (HM&E, Combat Systems)\n"
-            f"- Program Management & Acquisition (Milestones, Contracts)\n"
-            f"- Financial Management (PPBE, Funding Types)\n"
-            f"- Maintenance & Modernization (Availabilities, Shipyards)\n"
-            f"- Statutory & Regulatory Responsibilities (Goldwater-Nichols, Title 10)\n\n"
-            f"SKIP LOGIC:\n"
-            f"- Output 'SKIP' ONLY if the text is structural noise (e.g., Table of Contents, Page Headers, purely formatting instructions).\n"
-            f"- Do NOT skip lists, definitions, or procedural descriptions.\n\n"
-            f"TASK:\n"
-            f"If the text contains ANY examinable material, generate a difficult, scenario-based question.\n"
-            f"Do not ask 'What does the text say?'. Ask 'How would you apply this regulation...' or 'What are the implications of...'\n"
-            f"OUTPUT: Just the question text."
-        )
+            """
+            REVISED PROMPT: 'Action-Based' Generation.
+            Forces the model to generate a question for ANY valid information, 
+            lowering the bar for what constitutes 'examinable'.
+            """
+            return (
+                f"Act as a Navy Board Examiner.\n"
+                f"Here is a raw text excerpt from Navy documentation:\n"
+                f"'''{context_text}'''\n\n"
+                f"TASK: Generate a single question based on this text.\n\n"
+                f"RULES:\n"
+                f"1. If the text contains ANY facts (dates, definitions, locations, process steps, responsibilities), you MUST generate a question.\n"
+                f"2. Do not judge the 'quality' of the fact. If the text says 'The NSWC is in Maryland', ask 'Where is the NSWC located?'.\n"
+                f"3. Only output 'UNABLE' if the text is completely meaningless (e.g., a string of page numbers, a blank page, or garbled characters).\n\n"
+                f"OUTPUT FORMAT:\n"
+                f"- If valid: Just the question text.\n"
+                f"- If invalid: The word 'UNABLE'."
+            )
 
     def construct_grading_prompt(self, question, answer, context_text):
         return (