package service

import "strings"

// CrossValidate 交叉验证：AI 检测结果 vs LAMP 检测结果（规格书：一致→确认诊断；不一致→升级专家会诊）
func CrossValidate(aiClass, lampResult string, lampDiseases []string) (bool, string) {
	switch {
	case lampResult == "invalid":
		return false, "LAMP 判读无效，建议复检或专家会诊"
	case aiClass == "":
		return false, "未找到关联巡检记录，暂无法交叉验证"
	case aiClass == "unknown":
		return false, "AI 结果未知，建议复检或专家会诊"
	case aiClass == "sick" && lampResult == "positive":
		return true, "AI 检出异常与 LAMP 阳性一致，确认诊断"
	case aiClass == "healthy" && lampResult == "negative":
		return true, "AI 未见异常与 LAMP 阴性一致"
	case aiClass == "sick" && lampResult == "negative":
		return false, "AI 检出异常但 LAMP 阴性，建议专家会诊"
	case aiClass == "healthy" && lampResult == "positive":
		return false, "AI 未见异常但 LAMP 阳性，建议专家会诊"
	default:
		return false, "交叉验证结果待确认"
	}
}

// AIClassFromDetections 从巡检检测结果归纳 AI 结论；空检测或 unknown 不当作 healthy。
func AIClassFromDetections(detections []AIDetection) string {
	if len(detections) == 0 {
		return "unknown"
	}
	healthySeen := false
	unknownSeen := false
	for _, d := range detections {
		class := strings.ToLower(strings.TrimSpace(d.ClassName))
		switch class {
		case "healthy":
			healthySeen = true
		case "", "unknown":
			unknownSeen = true
		default:
			return "sick"
		}
	}
	if healthySeen && !unknownSeen {
		return "healthy"
	}
	return "unknown"
}