As APIs do Google Fit, incluindo a API REST do Google Fit, serão descontinuadas em 2026. A partir de 1º de maio de 2024, os desenvolvedores não poderão se inscrever para usar essas APIs.
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O sono é representado por sessões
do tipo sleep.
As sessões podem conter estágios do sono, que têm detalhes mais granulares
sobre dados de sono. Por exemplo, se foi leve, profundo ou REM
sono:
Valores do estágio de sono
Tipo de estágio do sono
Valor
Acordado (durante o ciclo de sono)
1
Sono
2
Fora da cama
3
Sono leve
4
Sono profundo
5
REM
6
O guia de gravação de dados de sono mostra como ambos
dados de sono granulares e não granulares são representados no Fit.
Android
Os exemplos a seguir usam um objeto SessionClient
para recuperar dados do Fit nos dois casos.
valSLEEP_STAGE_NAMES=arrayOf("Unused","Awake (during sleep)","Sleep","Out-of-bed","Light sleep","Deep sleep","REM sleep")valrequest=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(sessioninresponse.sessions){valsessionStart=session.getStartTime(TimeUnit.MILLISECONDS)valsessionEnd=session.getEndTime(TimeUnit.MILLISECONDS)Log.i(TAG,"Sleep between $sessionStart and $sessionEnd")// If the sleep session has finer granularity sub-components, extract them:valdataSets=response.getDataSet(session)for(dataSetindataSets){for(pointindataSet.dataPoints){valsleepStageVal=point.getValue(Field.FIELD_SLEEP_SEGMENT_TYPE).asInt()valsleepStage=SLEEP_STAGE_NAMES[sleepStageVal]valsegmentStart=point.getStartTime(TimeUnit.MILLISECONDS)valsegmentEnd=point.getEndTime(TimeUnit.MILLISECONDS)Log.i(TAG,"\t* Type $sleepStage between $segmentStart and $segmentEnd")}}}}
REST
Recuperar sessões de sono usando a API REST é um processo de duas etapas:
Recuperar uma lista de sessões
definindo o parâmetro activityType como 72 (SLEEP).
Observação: você pode usar um startTime e um endTime ou um pageToken
para recuperar novas sessões desde a solicitação anterior.
Se a solicitação for bem-sucedida, você vai receber um status de resposta HTTP 200 OK
o código-fonte. O corpo da resposta contém uma representação JSON da atividade
que compõem a sessão de sono. Cada intVal representa
tipo de atividade de sono
[[["Fácil de entender","easyToUnderstand","thumb-up"],["Meu problema foi resolvido","solvedMyProblem","thumb-up"],["Outro","otherUp","thumb-up"]],[["Não contém as informações de que eu preciso","missingTheInformationINeed","thumb-down"],["Muito complicado / etapas demais","tooComplicatedTooManySteps","thumb-down"],["Desatualizado","outOfDate","thumb-down"],["Problema na tradução","translationIssue","thumb-down"],["Problema com as amostras / o código","samplesCodeIssue","thumb-down"],["Outro","otherDown","thumb-down"]],["Última atualização 2025-08-31 UTC."],[[["\u003cp\u003eSleep data in Google Fit is stored as sessions of type \u003ccode\u003esleep\u003c/code\u003e and can optionally contain detailed sleep stage information.\u003c/p\u003e\n"],["\u003cp\u003eSleep stages are categorized with specific values, such as 1 for awake, 4 for light sleep, and 6 for REM sleep.\u003c/p\u003e\n"],["\u003cp\u003eAndroid developers can use the \u003ccode\u003eSessionClient\u003c/code\u003e and \u003ccode\u003eSessionReadRequest\u003c/code\u003e to retrieve both basic and detailed sleep data.\u003c/p\u003e\n"],["\u003cp\u003eREST API access involves a two-step process: retrieving a list of sleep sessions, then requesting detailed sleep stage data for each session if available.\u003c/p\u003e\n"],["\u003cp\u003eSleep stage details from the REST API are provided as \u003ccode\u003eintVal\u003c/code\u003e values within the response, corresponding to the sleep stage categories.\u003c/p\u003e\n"]]],[],null,["# Read Sleep Data\n\nSleep is represented by [sessions](https://developers.google.com/fit/rest/v1/using-sessions)\nof type [`sleep`](https://developers.google.com/fit/rest/v1/reference/activity-types).\nSessions can optionally contain sleep stages, which have more granular details\nabout sleep data. For example, if it was light, deep or REM\nsleep:\n\n##### Sleep stage values\n\n| Sleep stage type | Value |\n|----------------------------|-------|\n| Awake (during sleep cycle) | 1 |\n| Sleep | 2 |\n| Out-of-bed | 3 |\n| Light sleep | 4 |\n| Deep sleep | 5 |\n| REM | 6 |\n\nThe [write sleep data](/fit/scenarios/write-sleep-data) guide shows how both\ngranular and non-granular sleep data is represented in Fit. \n\n### Android\n\nThe follow samples uses a [SessionClient](https://developers.google.com/android/reference/com/google/android/gms/fitness/SessionsClient.html)\nto retrieve data from Fit, for both cases. \n\n```kotlin\nval SLEEP_STAGE_NAMES = arrayOf(\n \"Unused\",\n \"Awake (during sleep)\",\n \"Sleep\",\n \"Out-of-bed\",\n \"Light sleep\",\n \"Deep sleep\",\n \"REM sleep\"\n)\n\nval request = SessionReadRequest.Builder()\n .readSessionsFromAllApps()\n // By default, only activity sessions are included, so it is necessary to explicitly\n // request sleep sessions. This will cause activity sessions to be *excluded*.\n .includeSleepSessions()\n // Sleep segment data is required for details of the fine-granularity sleep, if it is present.\n .read(DataType.TYPE_SLEEP_SEGMENT)\n .setTimeInterval(startTime, endTime, TimeUnit.MILLISECONDS)\n .build()\n\nsessionsClient.readSession(request)\n .addOnSuccessListener { response -\u003e\n for (session in response.sessions) {\n val sessionStart = session.getStartTime(TimeUnit.MILLISECONDS)\n val sessionEnd = session.getEndTime(TimeUnit.MILLISECONDS)\n Log.i(TAG, \"Sleep between $sessionStart and $sessionEnd\")\n\n // If the sleep session has finer granularity sub-components, extract them:\n val dataSets = response.getDataSet(session)\n for (dataSet in dataSets) {\n for (point in dataSet.dataPoints) {\n val sleepStageVal = point.getValue(Field.FIELD_SLEEP_SEGMENT_TYPE).asInt()\n val sleepStage = SLEEP_STAGE_NAMES[sleepStageVal]\n val segmentStart = point.getStartTime(TimeUnit.MILLISECONDS)\n val segmentEnd = point.getEndTime(TimeUnit.MILLISECONDS)\n Log.i(TAG, \"\\t* Type $sleepStage between $segmentStart and $segmentEnd\")\n }\n }\n }\n }\n```\n\n### REST\n\nRetrieving sleep sessions using the REST API is a two stage process:\n\n1. [Retrieve a list of sessions](https://developers.google.com/fit/rest/v1/using-sessions#list_existing_sessions)\n setting the [`activityType`](https://developers.google.com/fit/rest/v1/reference/activity-types) parameter to `72` (`SLEEP`).\n Note: You can use a `startTime` and `endTime`, or use a [pageToken](https://developers.google.com/fit/rest/v1/reference/users/sessions/list#parameters)\n to retrieve new sessions since the previous request.\n\n **HTTP method** \n\n GET\n\n **Request URL** \n\n https://www.googleapis.com/fitness/v1/users/me/sessions?startTime=2019-12-05T00:00.000Z&endTime=2019-12-17T23:59:59.999Z&activityType=72\n\n **Response**\n\n An example [Session](https://developers.google.com/fit/rest/v1/reference/users/sessions/list#response_1)\n response might be: \n\n {\n \"session\": [\n {\n \"id\": \"Sleep1575505620000\",\n \"name\": \"Sleep\",\n \"description\": \"\",\n \"startTimeMillis\": \"1575505620000\",\n \"endTimeMillis\": \"1575526800000\",\n \"modifiedTimeMillis\": \"1575590432413\",\n \"application\": {\n \"packageName\": \"com.example.sleep_tracker\"\n },\n \"activityType\": 72 // Sleep\n },\n {\n \"id\": \"Run2939075083\",\n \"name\": \"Mud\",\n \"description\": \"\",\n \"startTimeMillis\": \"1576594403000\",\n \"endTimeMillis\": \"1576598754000\",\n \"modifiedTimeMillis\": \"1576616010143\",\n \"application\": {\n \"packageName\": \"com.example.run_tracker\"\n },\n \"activityType\": 8 // Running\n }\n ],\n \"deletedSession\": [],\n \"nextPageToken\": \"1576598754001\"\n }\n\n2. To obtain details of sleep stages for each session (if present), use the\n following request for each session in the filtered list:\n\n **HTTP method** \n\n POST\n\n **Request URL** \n\n https://www.googleapis.com/fitness/v1/users/userId/dataset:aggregate\n\n **Request body** \n\n {\n \"aggregateBy\": [\n {\n \"dataTypeName\": \"com.google.sleep.segment\"\n }\n ],\n \"endTimeMillis\": 1575609060000,\n \"startTimeMillis\": 1575591360000\n }\n\n **Response**\n\n If your request was successful, you'll get a `200 OK` HTTP response status\n code. The response body contains a JSON representation of activity\n segments that comprise the sleep session. Each `intVal` represents the\n sleep [activity type](#sleep_activity_values) \n\n {\n \"bucket\": [\n {\n \"startTimeMillis\": \"1575591360000\",\n \"endTimeMillis\": \"1575609060000\",\n \"dataset\": [\n {\n \"point\": [\n {\n \"startTimeNanos\": \"1575591360000000000\",\n \"endTimeNanos\": \"1575595020000000000\",\n \"dataTypeName\": \"com.google.sleep.segment\",\n \"originDataSourceId\": \"...\",\n \"value\": [\n {\n \"intVal\": 4, // Light sleep\n \"mapVal\": []\n }\n ]\n },\n {\n \"startTimeNanos\": \"1575595020000000000\",\n \"endTimeNanos\": \"1575596220000000000\",\n \"dataTypeName\": \"com.google.sleep.segment\",\n \"originDataSourceId\": \"...\",\n \"value\": [\n {\n \"intVal\": 1, // Sleep\n \"mapVal\": []\n }\n ]\n },\n\n // .... more datapoints\n\n {\n \"startTimeNanos\": \"1575605940000000000\",\n \"endTimeNanos\": \"1575609060000000000\",\n \"dataTypeName\": \"com.google.sleep.segment\",\n \"originDataSourceId\": \"...\",\n \"value\": [\n {\n \"intVal\": 4, // Light sleep\n \"mapVal\": []\n }\n ]\n }\n ]\n }\n ]\n }\n ]\n }"]]