Update conversation_logic.py

conversation_logic.py

@@ -1054,15 +1054,15 @@ def _should_prefer_question_support(help_mode: str, fallback_pack: Dict[str, Any
     if not fallback_pack:
         return False
     support_source = str(fallback_pack.get("support_source", "")).strip().lower()
-    has_specific_content = support_source in {
-        "question_bank",
-        "question_bank_refined",
-        "question_id",
-        "question_text",
-        "generated_question_specific",
-    }
+    support_priority = int(fallback_pack.get("support_priority", 0) or 0)
+    support_match = fallback_pack.get("support_match") or {}
+    confidence = str(support_match.get("confidence", "")).strip().lower()
+
+    authored_source = support_source in {"question_bank", "question_bank_refined", "question_id", "question_text"}
+    strong_match = confidence in {"exact", "high", "medium"} or support_priority >= 60
+
     if help_mode in {"hint", "walkthrough", "instruction", "step_by_step", "explain", "method"}:
-        return has_specific_content or bool(fallback_pack)
+        return authored_source or strong_match
     return False
 
 
@@ -1321,11 +1321,8 @@ class ConversationEngine:
         if input_type in {"hint", "next_hint"}:
             hint_lines: List[str] = []
 
-            if fallback_pack:
-                fallback_hints = _safe_meta_list(fallback_pack.get("hint_ladder", []))
-                if fallback_hints:
-                    idx = min(max(hint_stage - 1, 0), len(fallback_hints) - 1)
-                    hint_lines = [fallback_hints[idx]]
+            if prefer_question_support and fallback_reply_core:
+                hint_lines = [line.strip("- ").strip() for line in fallback_reply_core.splitlines() if line.strip()]
 
             if not hint_lines:
                 custom_ladder = _question_specific_hint_ladder(
@@ -1351,10 +1348,7 @@ class ConversationEngine:
                     hint_lines = [next_hint_text]
 
             if not hint_lines and fallback_reply_core:
-                split_lines = [line.strip("- ").strip() for line in fallback_reply_core.splitlines() if line.strip()]
-                if split_lines:
-                    idx = min(max(hint_stage - 1, 0), len(split_lines) - 1)
-                    hint_lines = [split_lines[idx]]
+                hint_lines = [line.strip("- ").strip() for line in fallback_reply_core.splitlines() if line.strip()]
 
             if not hint_lines:
                 hint_lines = [_minimal_generic_reply(inferred_category)]
@@ -1364,6 +1358,8 @@ class ConversationEngine:
             result.meta["question_support_used"] = bool(fallback_pack)
             result.meta["question_support_source"] = fallback_pack.get("support_source") if fallback_pack else None
             result.meta["question_support_topic"] = fallback_pack.get("topic") if fallback_pack else None
+            result.meta["question_support_match"] = fallback_pack.get("support_match") if fallback_pack else None
+            result.meta["question_support_priority"] = fallback_pack.get("support_priority") if fallback_pack else None
 
             reply = format_reply(
                 reply_core,