ДОМЕНЫ - ВОПРОСЫ - СКЛАД - Починить selected-object follow-up по складу и включить разговорные/UI-варианты в обязательный domain-loop

router/query_classifier.py

@@ -38,6 +38,10 @@ def _has_account_token(text: str) -> bool:
     return bool(ACCOUNT_TOKEN_RE.search(text))
 
 
+def _has_iso_date(text: str) -> bool:
+    return bool(re.search(r'\b\d{4}-\d{2}-\d{2}\b', text))
+
+
 def _aggregate_available_for_shape(
     *,
     available: set[str],
@@ -77,13 +81,35 @@ def classify_query_for_route(
     question_class = str(parsed_intent.get("question_class", "")).strip().lower()
 
     exact_markers = [
-        "документ по номеру",
+        "document by number",
         "source-of-record",
-        "источник",
-        "цепочка",
-        "почему",
+        "source",
+        "chain",
+        "why",
         "subconto3",
-        "субконто3",
+        "supplier",
+        "поставщик",
+        "buyer",
+        "покупатель",
+        "purchase",
+        "закуп",
+        "document",
+        "документ",
+        "date",
+        "дата",
+    ]
+    inventory_markers = [
+        "склад",
+        "остаток",
+        "поставщик",
+        "закуплен",
+        "куплен",
+        "продан",
+        "inventory",
+        "stock",
+        "supplier",
+        "purchase",
+        "sale",
     ]
     causal_markers = [
         "свяжи",
@@ -109,16 +135,35 @@ def classify_query_for_route(
     needs_exact_object_trace = _contains_any(text, exact_markers) and (
         question_class in {"drilldown_explain", "simple_factual", "cross_entity"}
     )
-    if question_class == "simple_factual" and "документ по номеру" in text:
+    if _contains_any(text, inventory_markers) and question_class in {
+        "drilldown_explain",
+        "simple_factual",
+        "cross_entity",
+    }:
+        needs_exact_object_trace = True
+    if question_class in {"drilldown_explain", "simple_factual", "cross_entity"} and (
+        ("41" in text and _contains_any(text, ["остаток", "balance", "stock"]))
+        or (
+            _contains_any(text, ["supplier", "поставщик", "buyer", "покупатель"])
+            and _contains_any(text, ["purchase", "закуп", "document", "документ"])
+        )
+    ):
+        needs_exact_object_trace = True
+    if question_class == "simple_factual" and "document by number" in text:
+        needs_exact_object_trace = True
+
+    if question_class == "unknown" and "41" in text and _has_iso_date(text):
         needs_exact_object_trace = True
 
     needs_causal_chain = _contains_any(text, causal_markers) and question_class in {
         "drilldown_explain",
         "cross_entity",
     }
+    if _contains_any(text, inventory_markers) and "???????" in text:
+        needs_causal_chain = True
     needs_cross_entity_join = (
         question_class == "cross_entity"
-        or (_contains_any(text, cross_markers) and " и " in text and "->" not in text)
+        or (_contains_any(text, cross_markers) and " ? " in text and "->" not in text)
     )
 
     needs_ranking = _contains_any(text, ranking_markers) and question_class in {
@@ -132,7 +177,7 @@ def classify_query_for_route(
     needs_full_period_aggregation = is_heavy and not is_baseline_heavy
 
     needs_runtime_truth = needs_exact_object_trace or _contains_any(
-        text, ["runtime", "source-of-record", "источник регистра"]
+        text, ["runtime", "source-of-record", "???????????????? ????????????????"]
     )
     freshness_sensitive = question_class in {
         "period_trend",
@@ -141,7 +186,6 @@ def classify_query_for_route(
     }
     ambiguous_object_scope = question_class == "ambiguous_fuzzy"
     if ambiguous_object_scope and _has_account_token(text):
-        # Ambiguous account prompts should avoid hard downcast into canonical-only answers.
         needs_runtime_truth = True
 
     available_aggregates = {