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.
Mantenha tudo organizado com as coleções
Salve e categorize o conteúdo com base nas suas preferências.
Seu aplicativo pode registrar dados de glicose no sangue por meio de gravações no
Tipo de dados com.google.blood_glucose. Neste tipo de dados, cada ponto de dados representa um único ponto
leitura de glicose no sangue. O ponto de dados contém campos de glicose no sangue
concentração, as relações temporais com as refeições e o sono, e a origem dos
espécime que foi medido. Todos os campos, exceto concentração de glicose no sangue
são opcionais.
A concentração de glicose no sangue é medida em mmol/L (1 mmol/L é
equivalente a 18 mg/dL).
Se a fonte de dados for criada corretamente, a resposta será um status 200 OK
o código-fonte. O corpo da resposta contém uma representação JSON da fonte de dados,
incluindo uma propriedade datasource.dataStreamId que você pode usar como os dados
ID de origem para as solicitações subsequentes.
Para esclarecer, o corpo JSON mostrado abaixo é anotado com comentários, para mostrar
o uso de constantes de campo de integridade.
Embora a API Fit remova comentários, é
recomendamos que você os remova do código, pois o JSON não
apoiam oficialmente os comentários.
Se os dados de glicose no sangue forem adicionados corretamente, a resposta será 200 OK
. O corpo da resposta contém uma representação JSON do sangue
glicosedata que foi adicionado.
[null,null,["Última atualização 2025-08-31 UTC."],[[["\u003cp\u003eYour app can record single, instantaneous blood glucose readings using the \u003ccode\u003ecom.google.blood_glucose\u003c/code\u003e data type, including optional fields for meal, sleep, and specimen source information.\u003c/p\u003e\n"],["\u003cp\u003eBlood glucose concentration is measured in mmol/L, and all other fields have specific allowed values as defined in the documentation.\u003c/p\u003e\n"],["\u003cp\u003eYou need to create a data source of type \u003ccode\u003ecom.google.blood_glucose\u003c/code\u003e before you can start writing blood glucose data.\u003c/p\u003e\n"],["\u003cp\u003eThe History API is used to add blood glucose data points to the created data source, with each point containing a timestamp and the blood glucose level, along with optional fields.\u003c/p\u003e\n"],["\u003cp\u003eGoogle Fit enforces restrictions on read/write access to health data types like blood glucose due to their sensitive nature.\u003c/p\u003e\n"]]],[],null,["# Write Blood Glucose Data\n\nYour app can record blood glucose data by writing to the\n[`com.google.blood_glucose`](/android/reference/com/google/android/gms/fitness/data/HealthDataTypes#TYPE_BLOOD_GLUCOSE) data type. In this data type, each data point represents a single instantaneous\nblood glucose reading. The data point contains fields for the blood glucose\nconcentration, temporal relationships to meals and sleep, and the source of the\nspecimen which was measured. All fields except for blood glucose concentration\nare optional.\n| **Note:** Because health data is potentially sensitive, Google Fit [restricts read/write\n| access to health data types](/fit/datatypes/restricted).\n\n- The blood glucose concentration is measured in *mmol/L* (1 mmol/L is equivalent to 18 mg/dL).\n- If specified, temporal relation to meal must have one of the values listed in [`FIELD_TEMPORAL_RELATION_TO_MEAL`](/android/reference/com/google/android/gms/fitness/data/HealthFields#FIELD_TEMPORAL_RELATION_TO_MEAL).\n- Meal type must have one of the values listed in [`FIELD_MEAL_TYPE`](/android/reference/com/google/android/gms/fitness/data/Field#FIELD_MEAL_TYPE). If the meal type is not known, use [`MEAL_TYPE_UNKNOWN`](/android/reference/com/google/android/gms/fitness/data/Field#MEAL_TYPE_UNKNOWN).\n- If specified, temporal relation to sleep must have one of the values listed in [`FIELD_TEMPORAL_RELATION_TO_SLEEP`](/android/reference/com/google/android/gms/fitness/data/HealthFields#FIELD_TEMPORAL_RELATION_TO_SLEEP).\n- If specified, blood glucose specimen source must have one of the values listed in [`FIELD_BLOOD_GLUCOSE_SPECIMEN_SOURCE`](/android/reference/com/google/android/gms/fitness/data/HealthFields#FIELD_BLOOD_GLUCOSE_SPECIMEN_SOURCE).\n\nCreate a data source\n--------------------\n\n### Android\n\nTo write a blood glucose data point, create a new [`DataSource`](/android/reference/com/google/android/gms/fitness/data/DataSource)\nof [`TYPE_BLOOD_GLUCOSE`](/android/reference/com/google/android/gms/fitness/data/HealthDataTypes#TYPE_BLOOD_GLUCOSE),\nas shown in the following example: \n\n val bloodGlucoseSource = DataSource.Builder()\n .setDataType(TYPE_BLOOD_GLUCOSE)\n // ...\n .build()\n\n### REST\n\nTo write a blood glucose data point, create a new data source.\n\n**HTTP method** \n\n POST\n\n**Request URL** \n\n```html\nhttps://www.googleapis.com/fitness/v1/users/me/dataSources\n```\n\n**Request body** \n\n {\n \"dataStreamName\": \"BloodGlucose\",\n \"type\": \"raw\",\n \"application\": {\n \"detailsUrl\": \"http://example.com\",\n \"name\": \"My Example App\",\n \"version\": \"1\"\n },\n \"dataType\": {\n \"name\": \"com.google.blood_glucose\"\n }\n }\n\n**Response**\n\nIf the data source is created successfully, the response is a `200 OK` status\ncode. The response body contains a JSON representation of the data source,\nincluding a `datasource.dataStreamId` property that you can use as the data\nsource ID for subsequent requests.\n\n**CURL command** \n\n```\n$ curl --header \"Authorization: Bearer ya29.yourtokenvalue --request POST \\\n --header \"Content-Type: application/json;encoding=utf-8\" --data @blood-glucose-ds.json \\\n https://www.googleapis.com/fitness/v1/users/me/dataSources\n```\n\nAdding data\n-----------\n\n### Android\n\nTo add data to the source created above, create a data point for this data\nsource, which can be inserted using the History API: \n\n val bloodGlucose = DataPoint.builder(bloodGlucoseSource)\n .setTimestamp(timestamp, TimeUnit.MILLISECONDS)\n .setField(FIELD_BLOOD_GLUCOSE_LEVEL, 5.0f) // 90 mg/dL\n .setField(FIELD_TEMPORAL_RELATION_TO_MEAL, FIELD_TEMPORAL_RELATION_TO_MEAL_BEFORE_MEAL)\n .setField(FIELD_MEAL_TYPE, MEAL_TYPE_BREAKFAST)\n .setField(FIELD_TEMPORAL_RELATION_TO_SLEEP, TEMPORAL_RELATION_TO_SLEEP_ON_WAKING)\n .setField(FIELD_BLOOD_GLUCOSE_SPECIMEN_SOURCE, BLOOD_GLUCOSE_SPECIMEN_SOURCE_CAPILLARY_BLOOD)\n .build()\n\n### REST\n\nThis example demonstrates adding blood glucose data using the\n[data source created above](#create_a_data_source).\n\n**HTTP method** \n\n PATCH\n\n**Request URL** \n\n```html\nhttps://www.googleapis.com/fitness/v1/users/me/dataSources/datasource.dataStreamId/datasets/1574159699023000000-1574159699023000000\n```\n\n**Request body**\n\nFor clarity the JSON body shown below is annotated with comments, to show\nthe use of health field constants.\nAlthough the Fit API will currently drop comments, it is\n**highly recommended you remove these from your code**, as JSON does not\nofficially support comments. \n\n```restructuredtext\n{\n \"minStartTimeNs\": 1574159699023000000,\n \"maxEndTimeNs\": 1574159699023000000,\n \"dataSourceId\": \"datasource.dataStreamId\",\n \"point\": [\n {\n \"startTimeNanos\": 1574159699023000000,\n \"endTimeNanos\": 1574159699023000000,\n \"dataTypeName\": \"com.google.blood_glucose\",\n \"value\": [\n {\n // Blood glucose level, 90 mg/dL\n \"fpVal\": 5.0\n },\n {\n // FIELD_TEMPORAL_RELATION_TO_MEAL_BEFORE_MEAL\n \"intVal\": 3\n },\n {\n // MEAL_TYPE_BREAKFAST\n \"intVal\": 1\n },\n {\n // TEMPORAL_RELATION_TO_SLEEP_ON_WAKING\n \"intVal\": 3\n },\n {\n // BLOOD_GLUCOSE_SPECIMEN_SOURCE_CAPILLARY_BLOOD\n \"intVal\": 2\n }\n ]\n }\n ]\n}\n```\n\n**Response**\n\nIf the blood glucose data is added successfully, the response is a `200 OK`\nstatus code. The response body contains a JSON representation of the blood\nglucosedata that has been added.\n\n**CURL command** \n\n```\n$ curl --header \"Authorization: Bearer ya29.yourtokenvalue --request PATCH \\\n --header \"Content-Type: application/json;encoding=utf-8\" --data @blood-glucose-data.json \\\n https://www.googleapis.com/fitness/v1/users/me/dataSources/datasource.dataStreamId/datasets/1574159699023000000-1574159699023000000\n```\n| **Note:** Use --request PATCH (not --request POST) in your CURL command when adding data."]]
