healthkit
"Read, write, and query Apple Health data using HealthKit. Covers HKHealthStore authorization, sample queries, statistics queries, statistics collection queries for charts, saving HKQuantitySample data, background delivery, workout sessions with HKWorkoutSession and HKLiveWorkoutBuilder, HKUnit, and
npx skills add dpearson2699/swift-ios-skills --skill healthkitBefore / After 效果对比
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name: healthkit description: "Read, write, and query Apple Health data using HealthKit. Covers HKHealthStore authorization, sample queries, statistics queries, statistics collection queries for charts, saving HKQuantitySample data, background delivery, workout sessions with HKWorkoutSession and HKLiveWorkoutBuilder, HKUnit, and HKQuantityTypeIdentifier values. Use when integrating with Apple Health, displaying health metrics, recording workouts, or enabling background health data delivery."
HealthKit
Read and write health and fitness data from the Apple Health store. Covers authorization, queries, writing samples, background delivery, and workout sessions. Targets Swift 6.2 / iOS 26+.
Contents
- Setup and Availability
- Authorization
- Reading Data: Sample Queries
- Reading Data: Statistics Queries
- Reading Data: Statistics Collection Queries
- Writing Data
- Background Delivery
- Workout Sessions
- Common Data Types
- HKUnit Reference
- Common Mistakes
- Review Checklist
- References
Setup and Availability
Project Configuration
- Enable the HealthKit capability in Xcode (adds the entitlement)
- Add
NSHealthShareUsageDescription(read) andNSHealthUpdateUsageDescription(write) to Info.plist - For background delivery, enable the "Background Delivery" sub-capability
Availability Check
Always check availability before accessing HealthKit. iPad and some devices do not support it.
import HealthKit
let healthStore = HKHealthStore()
guard HKHealthStore.isHealthDataAvailable() else {
// HealthKit not available on this device (e.g., iPad)
return
}
Create a single HKHealthStore instance and reuse it throughout your app. It is thread-safe.
Authorization
Request only the types your app genuinely needs. App Review rejects apps that over-request.
func requestAuthorization() async throws {
let typesToShare: Set<HKSampleType> = [
HKQuantityType(.stepCount),
HKQuantityType(.activeEnergyBurned)
]
let typesToRead: Set<HKObjectType> = [
HKQuantityType(.stepCount),
HKQuantityType(.heartRate),
HKQuantityType(.activeEnergyBurned),
HKCharacteristicType(.dateOfBirth)
]
try await healthStore.requestAuthorization(
toShare: typesToShare,
read: typesToRead
)
}
Checking Authorization Status
The app can only determine if it has not yet requested authorization. If the user denied access, HealthKit returns empty results rather than an error -- this is a privacy design.
let status = healthStore.authorizationStatus(
for: HKQuantityType(.stepCount)
)
switch status {
case .notDetermined:
// Haven't requested yet -- safe to call requestAuthorization
break
case .sharingAuthorized:
// User granted write access
break
case .sharingDenied:
// User denied write access (read denial is indistinguishable from "no data")
break
@unknown default:
break
}
Reading Data: Sample Queries
Use HKSampleQueryDescriptor (async/await) for one-shot reads. Prefer descriptors over the older callback-based HKSampleQuery.
func fetchRecentHeartRates() async throws -> [HKQuantitySample] {
let heartRateType = HKQuantityType(.heartRate)
let descriptor = HKSampleQueryDescriptor(
predicates: [.quantitySample(type: heartRateType)],
sortDescriptors: [SortDescriptor(\.endDate, order: .reverse)],
limit: 20
)
let results = try await descriptor.result(for: healthStore)
return results
}
// Extracting values from samples:
for sample in results {
let bpm = sample.quantity.doubleValue(
for: HKUnit.count().unitDivided(by: .minute())
)
print("\(bpm) bpm at \(sample.endDate)")
}
Reading Data: Statistics Queries
Use HKStatisticsQueryDescriptor for aggregated single-value stats (sum, average, min, max).
func fetchTodayStepCount() async throws -> Double? {
let calendar = Calendar.current
let startOfDay = calendar.startOfDay(for: Date())
let endOfDay = calendar.date(byAdding: .day, value: 1, to: startOfDay)!
let predicate = HKQuery.predicateForSamples(
withStart: startOfDay, end: endOfDay
)
let stepType = HKQuantityType(.stepCount)
let samplePredicate = HKSamplePredicate.quantitySample(
type: stepType, predicate: predicate
)
let query = HKStatisticsQueryDescriptor(
predicate: samplePredicate,
options: .cumulativeSum
)
let result = try await query.result(for: healthStore)
return result?.sumQuantity()?.doubleValue(for: .count())
}
Options by data type:
- Cumulative types (steps, calories):
.cumulativeSum - Discrete types (heart rate, weight):
.discreteAverage,.discreteMin,.discreteMax
Reading Data: Statistics Collection Queries
Use HKStatisticsCollectionQueryDescriptor for time-series data grouped into intervals -- ideal for charts.
func fetchDailySteps(forLast days: Int) async throws -> [(date: Date, steps: Double)] {
let calendar = Calendar.current
let endDate = calendar.startOfDay(
for: calendar.date(byAdding: .day, value: 1, to: Date())!
)
let startDate = calendar.date(byAdding: .day, value: -days, to: endDate)!
let predicate = HKQuery.predicateForSamples(
withStart: startDate, end: endDate
)
let stepType = HKQuantityType(.stepCount)
let samplePredicate = HKSamplePredicate.quantitySample(
type: stepType, predicate: predicate
)
let query = HKStatisticsCollectionQueryDescriptor(
predicate: samplePredicate,
options: .cumulativeSum,
anchorDate: endDate,
intervalComponents: DateComponents(day: 1)
)
let collection = try await query.result(for: healthStore)
var dailySteps: [(date: Date, steps: Double)] = []
collection.statisticsCollection.enumerateStatistics(
from: startDate, to: endDate
) { statistics, _ in
let steps = statistics.sumQuantity()?
.doubleValue(for: .count()) ?? 0
dailySteps.append((date: statistics.startDate, steps: steps))
}
return dailySteps
}
Long-Running Collection Query
Use results(for:) (plural) to get an AsyncSequence that emits updates as new data arrives:
let updateStream = query.results(for: healthStore)
Task {
for try await result in updateStream {
// result.statisticsCollection contains updated data
}
}
Writing Data
Create HKQuantitySample objects and save them to the store.
func saveSteps(count: Double, start: Date, end: Date) async throws {
let stepType = HKQuantityType(.stepCount)
let quantity = HKQuantity(unit: .count(), doubleValue: count)
let sample = HKQuantitySample(
type: stepType,
quantity: quantity,
start: start,
end: end
)
try await healthStore.save(sample)
}
Your app can only delete samples it created. Samples from other apps or Apple Watch are read-only.
Background Delivery
Register for background updates so your app is launched when new data arrives. Requires the background delivery entitlement.
func enableStepCountBackgroundDelivery() async throws {
let stepType = HKQuantityType(.stepCount)
try await healthStore.enableBackgroundDelivery(
for: stepType,
frequency: .hourly
)
}
Pair with an HKObserverQuery to handle notifications. Always call the completion handler:
let observerQuery = HKObserverQuery(
sampleType: HKQuantityType(.stepCount),
predicate: nil
) { query, completionHandler, error in
defer { completionHandler() } // Must call to signal done
guard error == nil else { return }
// Fetch new data, update UI, etc.
}
healthStore.execute(observerQuery)
Frequencies: .immediate, .hourly, .daily, .weekly
Call enableBackgroundDelivery once (e.g., at app launch). The system persists the registration.
Workout Sessions
Use HKWorkoutSession and HKLiveWorkoutBuilder to track live workouts. Available on watchOS 2+ and iOS 17+.
func startWorkout() async throws {
let configuration = HKWorkoutConfiguration()
configuration.activityType = .running
configuration.locationType = .outdoor
let session = try HKWorkoutSession(
healthStore: healthStore,
configuration: configuration
)
session.delegate = self
let builder = session.associatedWorkoutBuilder()
builder.dataSource = HKLiveWorkoutDataSource(
healthStore: healthStore,
workoutConfiguration: configuration
)
session.startActivity(with: Date())
try await builder.beginCollection(at: Date())
}
func endWorkout(
session: HKWorkoutSession,
builder: HKLiveWorkoutBuilder
) async throws {
session.end()
try await builder.endCollection(at: Date())
try await builder.finishWorkout()
}
For full workout lifecycle management including pause/resume, delegate handling, and multi-device mirroring, see references/healthkit-patterns.md.
Common Data Types
HKQuantityTypeIdentifier
| Identifier | Category | Unit |
|---|---|---|
| .stepCount | Fitness | .count() |
| .distanceWalkingRunning | Fitness | .meter() |
| .activeEnergyBurned | Fitness | .kilocalorie() |
| .basalEnergyBurned | Fitness | .kilocalorie() |
| .heartRate | Vitals | .count()/.minute() |
| .restingHeartRate | Vitals | .count()/.minute() |
| .oxygenSaturation | Vitals | .percent() |
| .bodyMass | Body | .gramUnit(with: .kilo) |
| .bodyMassIndex | Body | .count() |
| .height | Body | .meter() |
| .bodyFatPercentage | Body | .percent() |
| .bloodGlucose | Lab | .gramUnit(with: .milli).unitDivided(by: .literUnit(with: .deci)) |
HKCategoryTypeIdentifier
Common category types: .sleepAnalysis, .mindfulSession, .appleStandHour
HKCharacteristicType
Read-only user characteristics: .dateOfBirth, .biologicalSex, .bloodType, .fitzpatrickSkinType
HKUnit Reference
// Basic units
HKUnit.count() // Steps, counts
HKUnit.meter() // Distance
HKUnit.mile() // Distance (imperial)
HKUnit.kilocalorie() // Energy
HKUnit.joule(with: .kilo) // Energy (SI)
HKUnit.gramUnit(with: .kilo) // Mass (kg)
HKUnit.pound() // Mass (imperial)
HKUnit.percent() // Percentage
// Compound units
HKUnit.count().unitDivided(by: .minute()) // Heart rate (bpm)
HKUnit.meter().unitDivided(by: .second()) // Speed (m/s)
// Prefixed units
HKUnit.gramUnit(with: .milli) // Milligrams
HKUnit.literUnit(with: .deci) // Deciliters
Common Mistakes
1. Over-requesting data types
DON'T -- request everything:
// App Review will reject this
let allTypes: Set<HKObjectType> = [
HKQuantityType(.stepCount),
HKQuantityType(.heartRate),
HKQuantityType(.bloodGlucose),
HKQuantityType(.bodyMass),
HKQuantityType(.oxygenSaturation),
// ...20 more types the app never uses
]
DO -- request only what you use:
let neededTypes: Set<HKObjectType> = [
HKQuantityType(.stepCount),
HKQuantityType(.activeEnergyBurned)
]
2. Not handling authorization denial
DON'T -- assume data will be returned:
func getSteps() async throws -> Double {
let result = try await query.result(for: healthStore)
return result!.sumQuantity()!.doubleValue(for: .count()) // Crashes if denied
}
DO -- handle nil gracefully:
func getSteps() async throws -> Double {
let result = try await query.result(for: healthStore)
return result?.sumQuantity()?.doubleValue(for: .count()) ?? 0
}
3. Assuming HealthKit is always available
DON'T -- skip the check:
let store = HKHealthStore() // Crashes on iPad
try await store.requestAuthorization(toShare: types, read: types)
DO -- guard availability:
guard HKHealthStore.isHealthDataAvailable() else {
showUnsupportedDeviceMessage()
return
}
4. Running heavy queries on the main thread
DON'T -- use old callback-based queries on main thread. DO -- use async descriptors:
// Bad: HKSampleQuery with callback on main thread
// Good: async descriptor
func loadAllData() async throws -> [HKQuantitySample] {
let descriptor = HKSampleQueryDescriptor(
predicates: [.quantitySample(type: stepType)],
sortDescriptors: [SortDescriptor(\.endDate, order: .reverse)],
limit: 100
)
return try await descriptor.result(for: healthStore)
}
5. Forgetting to call completionHandler in observer queries
DON'T -- skip the completion handler:
let query = HKObserverQuery(sampleType: type, predicate: nil) { _, handler, _ in
processNewData()
// Forgot to call handler() -- system won't schedule next delivery
}
DO -- always call it:
let query = HKObserverQuery(sampleType: type, predicate: nil) { _, handler, _ in
defer { handler() }
processNewData()
}
6. Using wrong statistics options for the data type
DON'T -- use cumulative sum on discrete types:
// Heart rate is discrete, not cumulative -- this returns nil
let query = HKStatisticsQueryDescriptor(
predicate: heartRatePredicate,
options: .cumulativeSum
)
DO -- match options to data type:
// Use discrete options for discrete types
let query = HKStatisticsQueryDescriptor(
predicate: heartRatePredicate,
options: .discreteAverage
)
Review Checklist
- [ ]
HKHealthStore.isHealthDataAvailable()checked before any HealthKit access - [ ] Only necessary data types requested in authorization
- [ ]
Info.plistincludesNSHealthShareUsageDescriptionand/orNSHealthUpdateUsageDescription - [ ] HealthKit capability enabled in Xcode project
- [ ] Authorization denial handled gracefully (nil results, not crashes)
- [ ] Single
HKHealthStoreinstance reused (not created per query) - [ ] Async query descriptors used instead of callback-based queries
- [ ] Heavy queries not blocking main thread
- [ ] Statistics options match data type (cumulative vs. discrete)
- [ ] Background delivery paired with
HKObserverQueryandcompletionHandlercalled - [ ] Background delivery entitlement enabled if using
enableBackgroundDelivery - [ ] Workout sessions properly ended and builder finalized
- [ ] Write operations only for sample types the app created
References
- Extended patterns (workouts, anchored queries, SwiftUI integration):
references/healthkit-patterns.md - HealthKit framework
- HKHealthStore
- HKSampleQueryDescriptor
- HKStatisticsQueryDescriptor
- HKStatisticsCollectionQueryDescriptor
- HKWorkoutSession
- HKLiveWorkoutBuilder
- Setting up HealthKit
- Authorizing access to health data
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