睡眠以時段表示
類型為 sleep
。
時段可選擇包含睡眠階段,這些階段較為精細
關於睡眠資料例如淺睡、熟睡或 REM 睡眠
睡眠:
睡眠階段值
睡眠階段類型 | 值 |
---|---|
清醒 (睡眠週期內) | 1 |
睡眠 | 2 |
戶外床 | 3 |
淺層睡眠 | 4 |
深層睡眠 | 5 |
快速動眼期 | 6 |
「寫入睡眠資料」指南會說明 精細和非精細的睡眠資料會顯示在 Fit 中。
Android
下列範例使用 SessionClient 從 Fit 擷取資料。
val SLEEP_STAGE_NAMES = arrayOf( "Unused", "Awake (during sleep)", "Sleep", "Out-of-bed", "Light sleep", "Deep sleep", "REM sleep" ) val request = SessionReadRequest.Builder() .readSessionsFromAllApps() // By default, only activity sessions are included, so it is necessary to explicitly // request sleep sessions. This will cause activity sessions to be *excluded*. .includeSleepSessions() // Sleep segment data is required for details of the fine-granularity sleep, if it is present. .read(DataType.TYPE_SLEEP_SEGMENT) .setTimeInterval(startTime, endTime, TimeUnit.MILLISECONDS) .build() sessionsClient.readSession(request) .addOnSuccessListener { response -> for (session in response.sessions) { val sessionStart = session.getStartTime(TimeUnit.MILLISECONDS) val sessionEnd = session.getEndTime(TimeUnit.MILLISECONDS) Log.i(TAG, "Sleep between $sessionStart and $sessionEnd") // If the sleep session has finer granularity sub-components, extract them: val dataSets = response.getDataSet(session) for (dataSet in dataSets) { for (point in dataSet.dataPoints) { val sleepStageVal = point.getValue(Field.FIELD_SLEEP_SEGMENT_TYPE).asInt() val sleepStage = SLEEP_STAGE_NAMES[sleepStageVal] val segmentStart = point.getStartTime(TimeUnit.MILLISECONDS) val segmentEnd = point.getEndTime(TimeUnit.MILLISECONDS) Log.i(TAG, "\t* Type $sleepStage between $segmentStart and $segmentEnd") } } } }
REST
使用 REST API 擷取睡眠時段分為兩個階段:
擷取工作階段清單 將
activityType
參數設為72
(SLEEP
)。 注意:您可以使用startTime
和endTime
或使用 pageToken ,擷取自上次要求以來的新工作階段。HTTP 方法
GET
要求網址
https://www.googleapis.com/fitness/v1/users/me/sessions?startTime=2019-12-05T00:00.000Z&endTime=2019-12-17T23:59:59.999Z&activityType=72
回應
工作階段範例 可能是:
{ "session": [ { "id": "Sleep1575505620000", "name": "Sleep", "description": "", "startTimeMillis": "1575505620000", "endTimeMillis": "1575526800000", "modifiedTimeMillis": "1575590432413", "application": { "packageName": "com.example.sleep_tracker" }, "activityType": 72 // Sleep }, { "id": "Run2939075083", "name": "Mud", "description": "", "startTimeMillis": "1576594403000", "endTimeMillis": "1576598754000", "modifiedTimeMillis": "1576616010143", "application": { "packageName": "com.example.run_tracker" }, "activityType": 8 // Running } ], "deletedSession": [], "nextPageToken": "1576598754001" }
如要取得每個課程的睡眠階段詳細資料 (如有),請使用 。
HTTP 方法
POST
要求網址
https://www.googleapis.com/fitness/v1/users/userId/dataset:aggregate
要求主體
{ "aggregateBy": [ { "dataTypeName": "com.google.sleep.segment" } ], "endTimeMillis": 1575609060000, "startTimeMillis": 1575591360000 }
回應
如果要求成功,您會收到
200 OK
HTTP 回應狀態 再也不是件繁重乏味的工作回應主體包含活動的 JSON 表示法 構成睡眠時段的區段每個intVal
都代表 睡眠活動類型{ "bucket": [ { "startTimeMillis": "1575591360000", "endTimeMillis": "1575609060000", "dataset": [ { "point": [ { "startTimeNanos": "1575591360000000000", "endTimeNanos": "1575595020000000000", "dataTypeName": "com.google.sleep.segment", "originDataSourceId": "...", "value": [ { "intVal": 4, // Light sleep "mapVal": [] } ] }, { "startTimeNanos": "1575595020000000000", "endTimeNanos": "1575596220000000000", "dataTypeName": "com.google.sleep.segment", "originDataSourceId": "...", "value": [ { "intVal": 1, // Sleep "mapVal": [] } ] }, // .... more datapoints { "startTimeNanos": "1575605940000000000", "endTimeNanos": "1575609060000000000", "dataTypeName": "com.google.sleep.segment", "originDataSourceId": "...", "value": [ { "intVal": 4, // Light sleep "mapVal": [] } ] } ] } ] } ] }