Update src/query_engine.py

src/query_engine.py

@@ -163,9 +163,7 @@ def init_query(user_query:str,
         }
 
 def understand_query(
-    user_query: str,
-    cfg: Dict,
-    conversation_history: list[Dict] | None = None,
+    cfg: Dict
 ) -> dict:
     """Analyze and reformulate a user query for better retrieval.
 
@@ -186,27 +184,8 @@ def understand_query(
         - ``original_query``: The raw user input
         - ``clarification_question``: Question to ask (only if action is "clarify")
     """
-    qu_cfg = cfg.get("query_understanding", {})
-
-    # Disabled: pass through raw query
-    if not qu_cfg.get("enabled", True):
-        return {
-            "action": "search",
-            "search_query": user_query,
-            "display_query": user_query,
-            "original_query": user_query,
-            "route": "vector",
-            "sql_query": None,
-        }
-
+    
     domain = cfg.get("chatbot", {}).get("domain", "research")
-    max_history = qu_cfg.get("max_history", 6)
-
-    # Trim conversation history
-    history = conversation_history or []
-    if len(history) > max_history:
-        history = history[-max_history:]
-
     # Load SQL schema summary for prompt injection
     sql_enabled = cfg.get("sql", {}).get("enabled", True)
     schema_summary = ""
@@ -223,7 +202,7 @@ def understand_query(
     kb_overview = load_kb_meta(cfg)
 
     prompt = build_query_understanding_prompt(
-        user_query, domain, history,
+        domain,
         sql_schema_summary=schema_summary,
         kb_overview=kb_overview,
     )
@@ -238,14 +217,7 @@ def understand_query(
         result = _parse_qu_result(raw, user_query)
     except Exception:
         # LLM failure: fall back to raw query
-        result = {
-            "action": "search",
-            "search_query": user_query,
-            "display_query": user_query,
-            "original_query": user_query,
-            "route": "vector",
-            "sql_query": None,
-        }
+        result = None
 
     return result