睡眠由 sleep 类型的会话表示。
会话可以选择性地包含睡眠阶段,其中包含有关睡眠数据的更精细的详细信息。例如,如果睡眠是浅睡眠、深睡眠还是快速眼动睡眠:
睡眠阶段值
| 睡眠阶段类型 | 值 |
|---|---|
| 清醒(在睡眠周期内) | 1 |
| 睡眠 | 2 |
| 下床 | 3 |
| 浅层睡眠 | 4 |
| 深层睡眠 | 5 |
| 快速眼动睡眠 | 6 |
写入睡眠数据指南介绍了精细和非精细睡眠数据在 Google 健身中的表示方式。
Android
以下示例使用 SessionClient 从 Fit 中检索数据,适用于上述两种情况。
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 检索睡眠会话分为两个阶段:
检索会话列表,并将
activityType参数设置为72(SLEEP)。注意:您可以使用startTime和endTime,也可以使用 pageToken 来检索自上次请求以来的新会话。HTTP 方法
GETRequest URL
https://www.googleapis.com/fitness/v1/users/me/sessions?startTime=2019-12-05T00:00.000Z&endTime=2019-12-17T23:59:59.999Z&activityType=72答案
一个 Session 响应示例可能如下所示:
{ "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" }如需获取每个时段(如果有)的睡眠阶段详情,请针对过滤后列表中的每个时段使用以下请求:
HTTP 方法
POSTRequest URL
https://www.googleapis.com/fitness/v1/users/userId/dataset:aggregate请求正文
{ "aggregateBy": [ { "dataTypeName": "com.google.sleep.segment" } ], "endTimeMillis": 1575609060000, "startTimeMillis": 1575591360000 }答案
如果请求成功,您会收到
200 OKHTTP 响应状态代码。响应正文包含构成睡眠时段的活动区段的 JSON 表示法。每个intVal都表示睡眠活动类型{ "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": [] } ] } ] } ] } ] }