"""
Smart Eye 多模态 AI 代理的"驾驶员线索"概念

核心思想：
不是等驾驶员说出指令，而是通过注视、情绪、状态推断意图

示例：
- 驾驶员注视后视镜 + 皱眉 → 可能想变道 → 主动提供盲区信息
- 驾驶员打哈欠 + PERCLOS 升高 → 疲劳 → 主动建议休息
- 驾驶员看向中控屏 + 说"太热" → 调低空调
"""

from dataclasses import dataclass
from typing import Optional, List
from enum import IntEnum


class DriverIntent(IntEnum):
    """驾驶员意图"""
    NORMAL_DRIVING = 0
    WANT_LANE_CHANGE = 1
    WANT_ADJUST_CLIMATE = 2
    WANT_NAVIGATION = 3
    WANT_MEDIA = 4
    FATIGUE_WARNING = 5
    DISTRACTION_WARNING = 6
    EMOTION_SUPPORT = 7


@dataclass
class MultimodalCue:
    """多模态线索"""
    # 注视
    gaze_region: str = ""  # road, mirror, screen, instrument
    gaze_duration: float = 0.0  # 秒
    
    # 情绪
    emotion: str = "neutral"  # neutral, happy, angry, sad, stressed
    emotion_intensity: float = 0.0  # 0-1
    
    # 驾驶员状态
    perclos: float = 0.0
    blink_rate: float = 0.0
    head_pose: tuple = (0, 0, 0)  # (pitch, yaw, roll)
    
    # 语音
    speech_detected: bool = False
    speech_content: str = ""
    
    # 车辆状态
    speed: float = 0.0
    lane_deviation: float = 0.0


class IntentInference:
    """意图推断引擎"""
    
    def infer(self, cue: MultimodalCue) -> DriverIntent:
        """从多模态线索推断意图"""
        
        # 规则式推断（简化版）
        if cue.perclos > 25:
            return DriverIntent.FATIGUE_WARNING
        
        if cue.gaze_region == "mirror" and cue.gaze_duration > 1.0:
            return DriverIntent.WANT_LANE_CHANGE
        
        if cue.emotion == "stressed" and cue.emotion_intensity > 0.7:
            return DriverIntent.EMOTION_SUPPORT
        
        if cue.gaze_region == "screen" and cue.speech_detected:
            if "热" in cue.speech_content or "cold" in cue.speech_content:
                return DriverIntent.WANT_ADJUST_CLIMATE
            if "导航" in cue.speech_content or "route" in cue.speech_content:
                return DriverIntent.WANT_NAVIGATION
        
        if cue.gaze_region != "road" and cue.gaze_duration > 3.0:
            return DriverIntent.DISTRACTION_WARNING
        
        return DriverIntent.NORMAL_DRIVING
    
    def recommend_action(self, intent: DriverIntent) -> str:
        """根据意图推荐行动"""
        actions = {
            DriverIntent.NORMAL_DRIVING: "无操作",
            DriverIntent.WANT_LANE_CHANGE: "显示盲区摄像头画面",
            DriverIntent.WANT_ADJUST_CLIMATE: "调整空调温度",
            DriverIntent.WANT_NAVIGATION: "显示导航界面",
            DriverIntent.WANT_MEDIA: "播放推荐音乐",
            DriverIntent.FATIGUE_WARNING: "疲劳警告 + 建议休息",
            DriverIntent.DISTRACTION_WARNING: "分心警告",
            DriverIntent.EMOTION_SUPPORT: "播放舒缓音乐 + 
            调整氛围灯",
        }
        return actions.get(intent, "无操作")


# 测试
if __name__ == "__main__":
    engine = IntentInference()
    
    # 场景1：驾驶员看后视镜超过1秒
    cue1 = MultimodalCue(
        gaze_region="mirror",
        gaze_duration=1.5,
        emotion="neutral",
        perclos=8.0,
        speed=80
    )
    intent1 = engine.infer(cue1)
    action1 = engine.recommend_action(intent1)
    print(f"场景1: 注视后视镜 → 意图={intent1.name}, 行动={action1}")
    
    # 场景2：疲劳
    cue2 = MultimodalCue(
        gaze_region="road",
        gaze_duration=0.5,
        perclos=28.0,
        blink_rate=25,
        emotion="neutral"
    )
    intent2 = engine.infer(cue2)
    action2 = engine.recommend_action(intent2)
    print(f"场景2: PERCLOS=28% → 意图={intent2.name}, 行动={action2}")
    
    # 场景3：情绪压力
    cue3 = MultimodalCue(
        gaze_region="road",
        emotion="stressed",
        emotion_intensity=0.8,
        perclos=10.0
    )
    intent3 = engine.infer(cue3)
    action3 = engine.recommend_action(intent3)
    print(f"场景3: 情绪压力大 → 意图={intent3.name}, 行动={action3}")

"""
IMS 多模态交互架构建议

分层设计：
1. 安全层（DFR）：驾驶员功能就绪度 → 分级干预
2. 交互层（AI 代理）：意图推断 → 主动服务
3. 感知层（DMS/OMS）：多传感器数据采集
"""

IMS_ARCHITECTURE = {
    '感知层': {
        'DMS摄像头': '疲劳/分心/视线/情绪',
        'OMS摄像头': '乘员/CPD/姿态',
        '60GHz雷达': 'CPD/生命体征',
        '麦克风阵列': '语音/情绪',
        '车辆总线': '速度/方向/ADAS',
    },
    '安全层': {
        'DFR评分': '功能就绪度 0-100',
        '分级干预': '警告 → ADAS辅助 → 紧急接管',
        'Euro NCAP': '疲劳/分心/酒驾检测',
    },
    '交互层': {
        '意图推断': '注视+语音+情绪 → 意图',
        '主动服务': '意图 → 行动',
        '情感响应': '情绪 → 舒适调节',
    },
}

for layer, components in IMS_ARCHITECTURE.items():
    print(f"=== {layer} ===")
    for component, function in components.items():
        print(f"  {component}: {function}")
    print()