Add HealthBridge iOS app for intelligent health data synchronization
Complete implementation of a SwiftUI iOS app that serves as a "Single Source of Truth" for health data. The app reads from all Apple Health sources, detects conflicts between devices, merges data using configurable strategies, and writes cleaned data back. Features: - Phase 1: HealthKit integration with automatic source discovery - Phase 2: DataReader with conflict detection (time-window based) - Phase 3: RuleEngine with 8 merge strategies (exclusive, priority, higher wins, etc.) - Phase 4: MergeEngine for conflict resolution + DataWriter for HealthKit writes - Phase 5: SwiftUI UI for dashboard, conflicts, rules, and sources management - Phase 6: Background sync with configurable intervals and push notifications - Phase 7: Complete rule editor and polished UI components Supported data types: - Steps, Heart Rate, Blood Pressure, SpO2, Sleep - Distance, Floors Climbed, Active Energy, HRV, Respiratory Rate Architecture: SourceManager -> DataReader -> RuleEngine -> MergeEngine -> DataWriter
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Claude
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import Foundation
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import HealthKit
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import Combine
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// MARK: - HealthKit Manager
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@MainActor
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class HealthKitManager: ObservableObject {
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static let shared = HealthKitManager()
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private let healthStore = HKHealthStore()
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@Published var isAuthorized = false
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@Published var authorizationStatus: [HealthDataType: HKAuthorizationStatus] = [:]
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@Published var discoveredSources: [HealthSource] = []
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@Published var sourceHealthStatus: [String: SourceHealthStatus] = [:]
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@Published var lastError: Error?
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private init() {}
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// MARK: - Authorization
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var allQuantityTypes: Set<HKQuantityType> {
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var types = Set<HKQuantityType>()
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for dataType in HealthDataType.allCases {
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if let quantityType = dataType.hkQuantityType {
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types.insert(quantityType)
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}
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}
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return types
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}
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var allCategoryTypes: Set<HKCategoryType> {
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var types = Set<HKCategoryType>()
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for dataType in HealthDataType.allCases {
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if let categoryType = dataType.hkCategoryType {
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types.insert(categoryType)
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}
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}
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return types
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}
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var allSampleTypes: Set<HKSampleType> {
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var types = Set<HKSampleType>()
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allQuantityTypes.forEach { types.insert($0) }
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allCategoryTypes.forEach { types.insert($0) }
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return types
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}
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func requestAuthorization() async throws {
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guard HKHealthStore.isHealthDataAvailable() else {
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throw HealthKitError.healthDataNotAvailable
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}
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let typesToRead = allSampleTypes
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let typesToWrite = allQuantityTypes
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try await healthStore.requestAuthorization(toShare: typesToWrite, read: typesToRead)
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isAuthorized = true
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await updateAuthorizationStatus()
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await discoverSources()
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}
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func updateAuthorizationStatus() async {
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for dataType in HealthDataType.allCases {
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if let quantityType = dataType.hkQuantityType {
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let status = healthStore.authorizationStatus(for: quantityType)
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authorizationStatus[dataType] = status
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} else if let categoryType = dataType.hkCategoryType {
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let status = healthStore.authorizationStatus(for: categoryType)
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authorizationStatus[dataType] = status
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}
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}
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}
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// MARK: - Source Discovery
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func discoverSources() async {
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var allSources: [String: HealthSource] = [:]
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for dataType in HealthDataType.allCases {
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guard let sampleType = dataType.hkQuantityType ?? dataType.hkCategoryType else {
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continue
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}
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do {
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let sources = try await fetchSources(for: sampleType)
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for source in sources {
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if var existingSource = allSources[source.bundleIdentifier] {
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existingSource.supportedDataTypes.insert(dataType)
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allSources[source.bundleIdentifier] = existingSource
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} else {
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var newSource = source
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newSource.supportedDataTypes.insert(dataType)
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allSources[source.bundleIdentifier] = newSource
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}
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}
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} catch {
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print("Failed to fetch sources for \(dataType): \(error)")
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}
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}
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discoveredSources = Array(allSources.values).sorted { $0.category.priority > $1.category.priority }
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// Update source health status
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for source in discoveredSources {
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await updateSourceHealth(source)
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}
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}
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private func fetchSources(for sampleType: HKSampleType) async throws -> [HealthSource] {
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let query = HKSourceQuery(sampleType: sampleType, samplePredicate: nil) { _, sourcesOrNil, errorOrNil in
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// Handled via continuation
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}
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return try await withCheckedThrowingContinuation { continuation in
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let query = HKSourceQuery(sampleType: sampleType, samplePredicate: nil) { _, sourcesOrNil, errorOrNil in
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if let error = errorOrNil {
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continuation.resume(throwing: error)
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return
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}
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guard let sources = sourcesOrNil else {
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continuation.resume(returning: [])
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return
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}
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let healthSources = sources.map { HealthSource.from(hkSource: $0) }
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continuation.resume(returning: healthSources)
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}
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healthStore.execute(query)
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}
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}
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private func updateSourceHealth(_ source: HealthSource) async {
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var recordCount = 0
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var lastActivity: Date?
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for dataType in source.supportedDataTypes {
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if let quantityType = dataType.hkQuantityType {
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let predicate = HKQuery.predicateForObjects(from: HKSource(bundleIdentifier: source.bundleIdentifier, name: source.name) )
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// Simplified: just get count
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if let count = try? await fetchRecordCount(for: quantityType, source: source) {
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recordCount += count
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}
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if let date = try? await fetchLastActivityDate(for: quantityType, source: source) {
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if lastActivity == nil || date > lastActivity! {
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lastActivity = date
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}
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}
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}
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}
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let status = SourceHealthStatus(
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id: source.id,
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source: source,
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lastSync: lastActivity,
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recordCount: recordCount,
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dataGaps: [], // TODO: Implement gap detection
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overallQuality: recordCount > 0 ? .complete : .missing
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)
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sourceHealthStatus[source.id] = status
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}
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private func fetchRecordCount(for sampleType: HKSampleType, source: HealthSource) async throws -> Int {
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let calendar = Calendar.current
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let now = Date()
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let startOfDay = calendar.startOfDay(for: now)
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let predicate = HKQuery.predicateForSamples(withStart: startOfDay, end: now, options: .strictStartDate)
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return try await withCheckedThrowingContinuation { continuation in
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let query = HKSampleQuery(
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sampleType: sampleType,
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predicate: predicate,
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limit: HKObjectQueryNoLimit,
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sortDescriptors: nil
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) { _, samplesOrNil, errorOrNil in
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if let error = errorOrNil {
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continuation.resume(throwing: error)
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return
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}
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let samples = samplesOrNil ?? []
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let matchingSamples = samples.filter { $0.sourceRevision.source.bundleIdentifier == source.bundleIdentifier }
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continuation.resume(returning: matchingSamples.count)
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}
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self.healthStore.execute(query)
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}
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}
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private func fetchLastActivityDate(for sampleType: HKSampleType, source: HealthSource) async throws -> Date? {
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let sortDescriptor = NSSortDescriptor(key: HKSampleSortIdentifierEndDate, ascending: false)
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return try await withCheckedThrowingContinuation { continuation in
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let query = HKSampleQuery(
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sampleType: sampleType,
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predicate: nil,
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limit: 1,
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sortDescriptors: [sortDescriptor]
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) { _, samplesOrNil, errorOrNil in
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if let error = errorOrNil {
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continuation.resume(throwing: error)
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return
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}
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let matchingSample = samplesOrNil?.first { $0.sourceRevision.source.bundleIdentifier == source.bundleIdentifier }
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continuation.resume(returning: matchingSample?.endDate)
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}
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self.healthStore.execute(query)
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}
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}
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// MARK: - Source Classification
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func classifySource(_ source: HKSource) -> SourceCategory {
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let bundleId = source.bundleIdentifier.lowercased()
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if bundleId.contains("healthbridge") {
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return .healthBridge
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} else if bundleId.contains("apple.health") && !bundleId.contains("watch") {
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return .iPhone
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} else if bundleId.contains("apple") && bundleId.contains("watch") {
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return .watch
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} else if bundleId.contains("huawei") {
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return .thirdPartyWatch
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} else if bundleId.contains("samsung") || bundleId.contains("galaxy") {
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return .thirdPartyWatch
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} else if bundleId.contains("fitbit") {
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return .thirdPartyWatch
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} else if bundleId.contains("garmin") {
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return .thirdPartyWatch
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} else if bundleId.contains("polar") {
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return .thirdPartyWatch
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} else if bundleId.contains("withings") {
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return .thirdPartyWatch
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} else {
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return .thirdPartyApp
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}
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}
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func getSourceCapabilities(_ source: HealthSource) -> Set<HealthDataType> {
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return source.supportedDataTypes
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}
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// MARK: - Data Fetching (Basic)
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func fetchSamples(
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for dataType: HealthDataType,
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from startDate: Date,
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to endDate: Date
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) async throws -> [HKSample] {
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guard let sampleType = dataType.hkQuantityType ?? dataType.hkCategoryType else {
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throw HealthKitError.unsupportedDataType
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}
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let predicate = HKQuery.predicateForSamples(
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withStart: startDate,
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end: endDate,
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options: .strictStartDate
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)
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return try await withCheckedThrowingContinuation { continuation in
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let query = HKSampleQuery(
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sampleType: sampleType,
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predicate: predicate,
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limit: HKObjectQueryNoLimit,
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sortDescriptors: [NSSortDescriptor(key: HKSampleSortIdentifierStartDate, ascending: true)]
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) { _, samplesOrNil, errorOrNil in
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if let error = errorOrNil {
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continuation.resume(throwing: error)
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return
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}
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continuation.resume(returning: samplesOrNil ?? [])
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}
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self.healthStore.execute(query)
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}
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}
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// MARK: - Data Writing
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func writeSample(
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dataType: HealthDataType,
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value: Double,
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secondaryValue: Double? = nil,
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date: Date,
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metadata: [String: Any]? = nil
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) async throws {
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guard let quantityType = dataType.hkQuantityType else {
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throw HealthKitError.unsupportedDataType
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}
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let quantity = HKQuantity(unit: dataType.hkUnit, doubleValue: value)
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let sample = HKQuantitySample(
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type: quantityType,
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quantity: quantity,
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start: date,
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end: date,
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metadata: metadata
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)
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try await healthStore.save(sample)
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}
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func writeBloodPressure(
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systolic: Double,
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diastolic: Double,
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date: Date,
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metadata: [String: Any]? = nil
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) async throws {
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guard let systolicType = HKQuantityType.quantityType(forIdentifier: .bloodPressureSystolic),
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let diastolicType = HKQuantityType.quantityType(forIdentifier: .bloodPressureDiastolic) else {
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throw HealthKitError.unsupportedDataType
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}
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let systolicQuantity = HKQuantity(unit: .millimeterOfMercury(), doubleValue: systolic)
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let diastolicQuantity = HKQuantity(unit: .millimeterOfMercury(), doubleValue: diastolic)
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let systolicSample = HKQuantitySample(
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type: systolicType,
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quantity: systolicQuantity,
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start: date,
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end: date,
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metadata: metadata
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)
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let diastolicSample = HKQuantitySample(
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type: diastolicType,
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quantity: diastolicQuantity,
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start: date,
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end: date,
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metadata: metadata
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)
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// Create correlation for blood pressure
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guard let correlationType = HKCorrelationType.correlationType(forIdentifier: .bloodPressure) else {
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throw HealthKitError.unsupportedDataType
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}
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let correlation = HKCorrelation(
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type: correlationType,
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start: date,
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end: date,
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objects: [systolicSample, diastolicSample],
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metadata: metadata
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)
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try await healthStore.save(correlation)
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}
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}
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// MARK: - HealthKit Errors
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enum HealthKitError: LocalizedError {
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case healthDataNotAvailable
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case authorizationDenied
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case unsupportedDataType
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case noDataFound
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case writeFailed(Error)
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case queryFailed(Error)
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var errorDescription: String? {
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switch self {
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case .healthDataNotAvailable:
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return "Health-Daten sind auf diesem Gerät nicht verfügbar"
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case .authorizationDenied:
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return "Zugriff auf Health-Daten wurde verweigert"
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case .unsupportedDataType:
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return "Dieser Datentyp wird nicht unterstützt"
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case .noDataFound:
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return "Keine Daten gefunden"
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case .writeFailed(let error):
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return "Schreiben fehlgeschlagen: \(error.localizedDescription)"
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case .queryFailed(let error):
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return "Abfrage fehlgeschlagen: \(error.localizedDescription)"
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}
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}
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}
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// MARK: - HKSource Extension
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extension HKSource {
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convenience init(bundleIdentifier: String, name: String) {
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// Note: This is a workaround since HKSource doesn't have a public initializer
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// In production, sources come from HealthKit queries
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fatalError("HKSource cannot be initialized directly - use source from HKSample")
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}
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}
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