I have built a method that imports a sleep sample but I can't get it to return the proper value for hours asleep.
The method to query for sleep data looks like this:
func updateHealthCategories() {
let categoryType = HKObjectType.categoryTypeForIdentifier(HKCategoryTypeIdentifierSleepAnalysis)
let start = NSDate(dateString:"2015-11-04")
let end = NSDate(dateString:"2015-11-05")
let categorySample = HKCategorySample(type: categoryType!,
value: HKCategoryValueSleepAnalysis.Asleep.rawValue,
startDate: start,
endDate: end)
self.hoursSleep = Double(categorySample.value)
print(categorySample.value)
}
The date is formatted like this:
extension NSDate
{
convenience
init(dateString:String) {
let dateStringFormatter = NSDateFormatter()
dateStringFormatter.dateFormat = "yyyy-MM-dd"
dateStringFormatter.locale = NSLocale(localeIdentifier: "en_US_POSIX")
let d = dateStringFormatter.dateFromString(dateString)!
self.init(timeInterval:0, sinceDate:d)
}
}
I'm calling data from November 4-5, which contains this data:
However, the categorySample.value
returns 1
instead of 3
.
The value you are accessing is the category sample value, an HKCategoryType
, and not the number of hours of sleep.
The definition for HKCategoryTypeIdentifierSleepAnalysis
typedef enum : NSInteger {
HKCategoryValueSleepAnalysisInBed,
HKCategoryValueSleepAnalysisAsleep,
} HKCategoryValueSleepAnalysis;
defines two possible values, 0 or 1 where the value of 1 matches HKCategoryValueSleepAnalysisAsleep
.
Getting the hours asleep requires setting up a HKSampleQuery
.
The code looks something like this:
if let sleepType = HKObjectType.categoryTypeForIdentifier(HKCategoryTypeIdentifierSleepAnalysis) {
let predicate = HKQuery.predicateForSamplesWithStartDate(startDate, endDate: endDate, options: .None)
let sortDescriptor = NSSortDescriptor(key: HKSampleSortIdentifierEndDate, ascending: false)
let query = HKSampleQuery(sampleType: sleepType, predicate: predicate, limit: 30, sortDescriptors: [sortDescriptor]) { (query, tmpResult, error) -> Void in
if let result = tmpResult {
for item in result {
if let sample = item as? HKCategorySample {
let value = (sample.value == HKCategoryValueSleepAnalysis.InBed.rawValue) ? "InBed" : "Asleep"
print("sleep: \(sample.startDate) \(sample.endDate) - source: \(sample.source.name) - value: \(value)")
let seconds = sample.endDate.timeIntervalSinceDate(sample.startDate)
let minutes = seconds/60
let hours = minutes/60
}
}
}
}
healthStore.executeQuery(query)
}
I summarized this from http://benoitpasquier.fr/sleep-healthkit/.
Here is Swift 5, iOS 16 compatible answer if someone is still looking. You can parse/operate data as per your needs.
func getSleepAnalysis() {
let healthStore = HKHealthStore()
let endDate = Date()
guard let startDate = Calendar.current.date(byAdding: .day, value: -7, to: endDate) else {
fatalError("*** Unable to create the start date ***")
}
// first, we define the object type we want
guard let sleepType = HKObjectType.categoryType(forIdentifier: .sleepAnalysis) else {
return
}
// we create a predicate to filter our data
let predicate = HKQuery.predicateForSamples(withStart: startDate, end: endDate, options: .strictStartDate)
// I had a sortDescriptor to get the recent data first
let sortDescriptor = NSSortDescriptor(key: HKSampleSortIdentifierEndDate, ascending: false)
// we create our query with a block completion to execute
let query = HKSampleQuery(sampleType: sleepType, predicate: predicate, limit: Int(HKObjectQueryNoLimit), sortDescriptors: [sortDescriptor]) { (query, result, error) in
if error != nil {
// handle error
return
}
if let result = result {
// do something with those data
result
.compactMap({ $0 as? HKCategorySample })
.forEach({ sample in
guard let sleepValue = HKCategoryValueSleepAnalysis(rawValue: sample.value) else {
return
}
let isAsleep = sleepValue == .asleep
print("HealthKit sleep \(sample.startDate) \(sample.endDate) - source \(sample.sourceRevision.source.name) - isAsleep \(isAsleep)")
})
}
}
// finally, we execute our query
healthStore.execute(query)
}
I hope you'll get the authorization for SleepAnalysis before this so data is retrived.
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