fixed memmory

backend/app/memory/parse.py

@@ -0,0 +1,40 @@
+import re
+
+IDENTITY_QUESTION = re.compile(
+    r"(кто\s+я|как\s+меня\s+зовут|сколько\s+мне\s+лет|"
+    r"что\s+ты\s+(помнишь|знаешь)\s+(обо\s+мне|про\s+меня)|"
+    r"напомни\s+(кто\s+я|про\s+меня))",
+    re.IGNORECASE,
+)
+
+NAME_PATTERN = re.compile(
+    r"(?:меня\s+зовут|имя[:\s]+|зовут)\s+([A-Za-zА-Яа-яЁё][A-Za-zА-Яа-яЁё\-]*)",
+    re.IGNORECASE,
+)
+AGE_PATTERN = re.compile(r"(?:мне\s+(\d{1,3})\s+лет|возраст[:\s]+(\d{1,3}))", re.IGNORECASE)
+
+
+def normalize_text(text: str) -> str:
+    return " ".join(text.casefold().split())
+
+
+def is_identity_question(text: str) -> bool:
+    return bool(IDENTITY_QUESTION.search(text))
+
+
+def parse_identity(text: str) -> dict[str, str]:
+    result: dict[str, str] = {}
+    name_match = NAME_PATTERN.search(text)
+    if name_match:
+        result["name"] = name_match.group(1)
+    age_match = AGE_PATTERN.search(text)
+    if age_match:
+        result["age"] = age_match.group(1) or age_match.group(2)
+    return result
+
+
+def texts_are_similar(a: str, b: str) -> bool:
+    na, nb = normalize_text(a), normalize_text(b)
+    if na == nb:
+        return True
+    return na in nb or nb in na