Upload engine.py

engine.py

@@ -329,51 +329,44 @@ def normalize_time_question(q):#total-actual date
 
 def is_question_supported(question):
     q = question.lower()
-    tokens = set(q.replace("?", "").replace(",", "").split())
 
-    # 1️⃣ Allow analytical intent even without table names
-    analytic_keywords = {
+    # 1️⃣ Always allow analytical / time-based queries
+    analytic_keywords = [
         "count", "total", "average", "avg", "sum",
-        "how many", "number of", "trend",
-        "increase", "decrease", "compare", "more than", "less than"
-    }
+        "how many", "number of",
+        "trend", "increase", "decrease", "compare",
+        "last", "latest", "recent", "past",
+        "day", "days", "month", "year"
+    ]
 
     if any(k in q for k in analytic_keywords):
         return True
 
-    # 2️⃣ Check schema relevance (table-by-table)
+    # 2️⃣ Schema-based relevance check
     schema = load_ai_schema()
 
     for table, meta in schema.items():
-        score = 0
         table_l = table.lower()
 
-        # Table name match
+        # Table name mentioned
         if table_l in q:
-            score += 3
+            return True
 
-        # Column name match
+        # Column or description match
         for col, desc in meta["columns"].items():
-            col_l = col.lower()
-            if col_l in q:
-                score += 2
-            elif any(tok in col_l for tok in tokens):
-                score += 1
-
-        # Description match
-        if meta.get("description"):
-            desc_tokens = set(col_desc(meta["description"]).lower().split())
+            if col.lower() in q:
+                return True
 
-            score += len(tokens & desc_tokens)
-
-        # ✅ If any table is relevant enough → supported
-        if score >= 2:
-            return True
+            if isinstance(desc, str) and any(
+                word in desc.lower() for word in q.split()
+            ):
+                return True
 
     return False
 
 
 
+
 # =========================
 # SQL GENERATION
 # =========================