feat(health): 优化HRV数据质量分析与获取逻辑

- 新增HRV质量评分算法，综合评估数值有效性、数据源可靠性与元数据完整性
- 实现最佳质量HRV值自动选取，优先手动测量并过滤异常值
- 扩展TS类型定义，支持完整HRV数据结构及质量分析接口
- 移除StressMeter中未使用的时间格式化函数与注释代码
- 默认采样数提升至50条，增强质量分析准确性

ios/OutLive/HealthKitManager.swift

@@ -623,7 +623,9 @@ class HealthKitManager: NSObject, RCTBridgeModule {
 
     let predicate = HKQuery.predicateForSamples(withStart: startDate, end: endDate, options: .strictStartDate)
     let sortDescriptor = NSSortDescriptor(key: HKSampleSortIdentifierEndDate, ascending: false)
-    let limit = options["limit"] as? Int ?? HKObjectQueryNoLimit
+
+    // 获取更多样本用于质量分析，默认50个样本
+    let limit = options["limit"] as? Int ?? 50
 
     let query = HKSampleQuery(sampleType: hrvType,
                               predicate: predicate,
@@ -639,6 +641,7 @@ class HealthKitManager: NSObject, RCTBridgeModule {
           resolver([
             "data": [],
             "count": 0,
+            "bestQualityValue": nil,
             "startDate": self?.dateToISOString(startDate) ?? "",
             "endDate": self?.dateToISOString(endDate) ?? ""
           ])
@@ -646,22 +649,31 @@ class HealthKitManager: NSObject, RCTBridgeModule {
         }
 
         let hrvData = hrvSamples.map { sample in
-          [
+          let hrvValueMs = sample.quantity.doubleValue(for: HKUnit.secondUnit(with: .milli))
+          let sourceBundle = sample.sourceRevision.source.bundleIdentifier
+
+          return [
             "id": sample.uuid.uuidString,
             "startDate": self?.dateToISOString(sample.startDate) ?? "",
             "endDate": self?.dateToISOString(sample.endDate) ?? "",
-            "value": sample.quantity.doubleValue(for: HKUnit.secondUnit(with: .milli)),
+            "value": hrvValueMs,
             "source": [
               "name": sample.sourceRevision.source.name,
-              "bundleIdentifier": sample.sourceRevision.source.bundleIdentifier
+              "bundleIdentifier": sourceBundle
             ],
-            "metadata": sample.metadata ?? [:]
+            "metadata": sample.metadata ?? [:],
+            "isManualMeasurement": self?.isManualHRVMeasurement(sourceBundle: sourceBundle, metadata: sample.metadata) ?? false,
+            "qualityScore": self?.calculateHRVQualityScore(value: hrvValueMs, sourceBundle: sourceBundle, metadata: sample.metadata) ?? 0
           ] as [String : Any]
         }
 
+        // 计算最佳质量的HRV值
+        let bestQualityValue = self?.getBestQualityHRVValue(from: hrvData)
+
         let result: [String: Any] = [
           "data": hrvData,
           "count": hrvData.count,
+          "bestQualityValue": bestQualityValue,
           "startDate": self?.dateToISOString(startDate) ?? "",
           "endDate": self?.dateToISOString(endDate) ?? ""
         ]
@@ -1031,6 +1043,130 @@ class HealthKitManager: NSObject, RCTBridgeModule {
     return formatter.string(from: date)
   }
 
+  // MARK: - HRV Quality Analysis Methods
+
+  /// 判断是否为手动/高质量HRV测量
+  private func isManualHRVMeasurement(sourceBundle: String, metadata: [String: Any]?) -> Bool {
+    // 来自呼吸应用的测量通常是手动触发的高质量测量
+    if sourceBundle.contains("Breathe") || sourceBundle.contains("breathe") {
+      return true
+    }
+
+    // 来自第三方HRV应用的测量通常是手动的
+    let manualHRVApps = ["HRV4Training", "EliteHRV", "HRVLogger", "Stress & Anxiety Companion"]
+    if manualHRVApps.contains(where: { sourceBundle.contains($0) }) {
+      return true
+    }
+
+    // 检查元数据中的手动测量标识
+    if let metadata = metadata {
+      if let wasUserEntered = metadata[HKMetadataKeyWasUserEntered] as? Bool, wasUserEntered {
+        return true
+      }
+    }
+
+    return false
+  }
+
+  /// 计算HRV测量的质量评分
+  private func calculateHRVQualityScore(value: Double, sourceBundle: String, metadata: [String: Any]?) -> Int {
+    var score = 0
+
+    // 1. 数值有效性检查 (0-40分)
+    if value >= 10 && value <= 100 {
+      // 正常SDNN范围，给予基础分数
+      if value >= 18 && value <= 76 {
+        score += 40 // 完全正常范围
+      } else if value >= 10 && value <= 18 {
+        score += 30 // 偏低但可能有效
+      } else if value >= 76 && value <= 100 {
+        score += 35 // 偏高但可能有效
+      }
+    } else if value > 0 && value < 10 {
+      score += 10 // 数值过低，质量存疑
+    }
+
+    // 2. 数据源质量 (0-35分)
+    if isManualHRVMeasurement(sourceBundle: sourceBundle, metadata: metadata) {
+      score += 35 // 手动测量，质量最高
+    } else if sourceBundle.contains("com.apple.health") {
+      score += 20 // 系统自动测量，中等质量
+    } else if sourceBundle.contains("Watch") {
+      score += 25 // Apple Watch测量，较好质量
+    } else {
+      score += 15 // 其他来源，质量一般
+    }
+
+    // 3. 元数据质量指标 (0-25分)
+    if let metadata = metadata {
+      var metadataScore = 0
+
+      // 用户手动输入
+      if let wasUserEntered = metadata[HKMetadataKeyWasUserEntered] as? Bool, wasUserEntered {
+        metadataScore += 15
+      }
+
+      // 设备信息完整性
+      if metadata[HKMetadataKeyDeviceName] != nil {
+        metadataScore += 5
+      }
+
+      // 其他质量指标
+      if metadata[HKMetadataKeyHeartRateMotionContext] != nil {
+        metadataScore += 5
+      }
+
+      score += metadataScore
+    }
+
+    return min(score, 100) // 限制最大分数为100
+  }
+
+  /// 从HRV数据中获取最佳质量的测量值
+  private func getBestQualityHRVValue(from hrvData: [[String: Any]]) -> Double? {
+    guard !hrvData.isEmpty else { return nil }
+
+    // 按质量分数和时间排序，优先选择高质量的最新测量
+    let sortedData = hrvData.sorted { item1, item2 in
+      let quality1 = item1["qualityScore"] as? Int ?? 0
+      let quality2 = item2["qualityScore"] as? Int ?? 0
+      let isManual1 = item1["isManualMeasurement"] as? Bool ?? false
+      let isManual2 = item2["isManualMeasurement"] as? Bool ?? false
+
+      // 优先级：手动测量 > 质量分数 > 时间新旧
+      if isManual1 && !isManual2 {
+        return true
+      } else if !isManual1 && isManual2 {
+        return false
+      } else if quality1 != quality2 {
+        return quality1 > quality2
+      } else {
+        // 同等质量下，选择更新的数据
+        let date1 = item1["endDate"] as? String ?? ""
+        let date2 = item2["endDate"] as? String ?? ""
+        return date1 > date2
+      }
+    }
+
+    // 返回质量最高的测量值
+    if let bestValue = sortedData.first?["value"] as? Double {
+      // 对最终值进行合理性验证
+      if bestValue >= 5 && bestValue <= 150 {
+        return bestValue
+      }
+    }
+
+    // 如果最佳值不合理，尝试返回第一个合理的值
+    for data in sortedData {
+      if let value = data["value"] as? Double, value >= 10 && value <= 100 {
+        return value
+      }
+    }
+
+    // 如果都没有合理值，返回第一个值（可能需要用户注意数据质量）
+    return sortedData.first?["value"] as? Double
+  }
+
   // MARK: - Hourly Data Methods
 
   @objc