Update project and configurations

intelligent_cabin/app/services/dialog_act.py

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+from __future__ import annotations
+
+import re
+from dataclasses import dataclass, field
+
+
+@dataclass
+class DialogActEngine:
+    """
+    基于配置词表的对话行为检测器。
+    - patterns          : act_id → 触发词组 tuple，逐词包含匹配
+    - numeric_patterns  : act_id → 正则 tuple，全文正则匹配（用于数字类 inform）
+
+    词表和正则均从 config/dialog_acts.yml 加载，不同设备部署时修改配置文件即可，无需改代码。
+    """
+
+    patterns: dict[str, tuple[str, ...]] = field(
+        default_factory=lambda: {
+            "affirm": ("确认", "好的", "继续", "可以", "确定"),
+            "deny": ("不要", "不行", "否", "不"),
+            "cancel": ("取消", "算了", "不用了", "停止"),
+            "modify": ("改成", "换成", "再低一点", "再高一点", "调大", "调小"),
+            "chitchat": ("你好", "谢谢", "再见", "天气", "真不错"),
+            "request": ("帮我", "打开", "关闭", "导航", "播放", "查询", "查"),
+            "inform": (),
+        }
+    )
+    # act_id → 正则表达式 tuple（全文 search，任意命中即触发）
+    numeric_patterns: dict[str, tuple[str, ...]] = field(
+        default_factory=lambda: {
+            "inform": (r"\d+",),
+        }
+    )
+
+    def detect(self, text: str) -> str:
+        normalized = re.sub(r"\s+", "", text.strip().lower())
+        if not normalized:
+            return "unknown"
+
+        # 1. 词表包含匹配（保持原有优先级顺序）
+        for act_id, phrases in self.patterns.items():
+            if any(phrase and phrase in normalized for phrase in phrases):
+                return act_id
+
+        # 2. 正则匹配（主要用于 inform 的数字检测）
+        for act_id, regexes in self.numeric_patterns.items():
+            for pattern in regexes:
+                if re.search(pattern, normalized):
+                    return act_id
+
+        return "unknown"