Update conversation_logic.py

conversation_logic.py

@@ -222,12 +222,32 @@ def _specific_topic_from_question(question_text: str, fallback_topic: str, class
         return "median"
     if "range" in q:
         return "range"
-    if (
-        "ratio" in q
-        or re.search(r"\b[a-z]\s*/\s*[a-z]\b", q)
-        or re.search(r"\b\d+\s*/\s*\d+\b", q)
-    ):
+
+    ratio_like = any(
+        phrase in q
+        for phrase in [
+            "ratio",
+            "proportion",
+            "proportional",
+            "part to whole",
+            "out of",
+            "for every",
+            "in the same ratio",
+            "in proportion",
+            "directly proportional",
+            "inversely proportional",
+        ]
+    )
+    ratio_like = ratio_like or bool(re.search(r"\b[a-z]\s*/\s*[a-z]\b", q))
+    ratio_like = ratio_like or bool(re.search(r"\b\d+\s*/\s*\d+\b", q))
+    ratio_like = ratio_like or bool(re.search(r"\b[a-z]\s*:\s*[a-z]\b", q))
+    ratio_like = ratio_like or bool(re.search(r"\b\d+\s*:\s*\d+\b", q))
+    ratio_like = ratio_like or bool(re.search(r"\b[a-z]+\s+to\s+[a-z]+\b", q))
+    ratio_like = ratio_like or bool(re.search(r"\b\d+\s+to\s+\d+\b", q))
+
+    if ratio_like:
         return "ratio"
+
     if topic == "data" and any(k in q for k in ["dataset", "table", "chart", "graph"]):
         return "statistics"
     return topic
@@ -857,15 +877,8 @@ class ConversationEngine:
 
         if fallback_pack and fallback_pack.get("topic") == "statistics":
             qlow = (solver_input or "").lower()
-            wants_topic = input_type == "topic_query"
             if any(k in qlow for k in ["variability", "spread", "standard deviation"]):
-                if wants_topic:
-                    fallback_reply_core = (
-                        "- This is a statistics / data insight question about variability (spread).\n"
-                        "- Focus on how spread out each dataset is rather than the average.\n"
-                        "- Compare how far the outer values sit from the middle value in each set."
-                    )
-                elif resolved_help_mode == "answer":
+                if resolved_help_mode == "answer":
                     fallback_reply_core = (
                         "- Notice this is asking about variability, which means spread, not the mean.\n"
                         "- Compare how far the smallest and largest values sit from the middle value in each dataset.\n"