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app/core/commands.py

@@ -0,0 +1,66 @@
+"""
+Command parsing helpers.
+"""
+
+import re
+
+_STOP_WORDS_STRICT = {
+    "стоп",
+    "хватит",
+    "перестань",
+    "замолчи",
+    "прекрати",
+    "тихо",
+    "stop",
+}
+
+_STOP_PATTERNS_LENIENT = [
+    r"\bстоп\w*\b",
+    r"\bstop\b",
+    r"\bхватит\b",
+    r"\bперестан\w*\b",
+    r"\bпрекрат\w*\b",
+    r"\bзамолч\w*\b",
+    r"\bтише\b",
+    r"\bтихо\b",
+    r"\bвыключ\w*\b",
+    r"\bотключ\w*\b",
+    r"\bостанов\w*\b",
+    r"\bотмен\w*\b",
+    r"\bпауза\b",
+    r"\bдостаточно\b",
+]
+_STOP_PATTERNS_LENIENT_COMPILED = [re.compile(p) for p in _STOP_PATTERNS_LENIENT]
+
+
+def _normalize_text(text: str) -> str:
+    text = text.lower().replace("ё", "е")
+    text = re.sub(r"[^\w\s]+", " ", text, flags=re.UNICODE)
+    text = re.sub(r"\s+", " ", text, flags=re.UNICODE).strip()
+    return text
+
+
+def is_stop_command(text: str, mode: str = "strict") -> bool:
+    """
+    Detect stop commands in text.
+
+    mode:
+        - "strict": only exact stop words.
+        - "lenient": broader patterns for noisy recognition.
+    """
+    if not text:
+        return False
+
+    normalized = _normalize_text(text)
+    if not normalized:
+        return False
+
+    if mode == "strict":
+        words = normalized.split()
+        return any(word in _STOP_WORDS_STRICT for word in words)
+
+    for pattern in _STOP_PATTERNS_LENIENT_COMPILED:
+        if pattern.search(normalized):
+            return True
+
+    return False