fix: нормализация чисел (пробелы/запятые) и дат (DD.MM.YYYY→YYYY-MM-DD)

deploy/services/metrics.py

@@ -63,10 +63,26 @@ class ClassifyMetrics:
 
 
 def _to_decimal(val) -> Decimal | None:
-    """Safe conversion to Decimal."""
+    """Safe conversion to Decimal with number normalization."""
     if val is None or val == "":
         return None
     try:
-        return Decimal(str(val))
+        s = str(val).replace("\xa0", "").replace(" ", "").replace(",", ".")
+        return Decimal(s)
     except (InvalidOperation, ValueError):
         return None
+
+
+def normalize_date(ds: str) -> str | None:
+    """Normalize date to YYYY-MM-DD. Handles DD.MM.YYYY, YYYY-MM-DD, etc."""
+    if not ds:
+        return None
+    import re
+    # DD.MM.YYYY → YYYY-MM-DD
+    m = re.match(r"(\d{2})\.(\d{2})\.(\d{4})", ds)
+    if m:
+        return f"{m.group(3)}-{m.group(2)}-{m.group(1)}"
+    # YYYY-MM-DD — already canonical
+    if re.match(r"\d{4}-\d{2}-\d{2}", ds):
+        return ds
+    return ds  # return as-is if unrecognized format