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运动健康采样数据

场景介绍

运动健康采样数据(SamplePoint),表示在某时刻(或一段时间)采集到的特定数据类型的样本,由时间、样本值及采样的数据源组成,支持保存、读取和删除等操作。

接口说明

接口名描述
saveData(sampleData: SamplePoint[]SamplePoint): Promise<void>
readData<T extends SamplePoint>(request: SamplePointReadRequest): Promise<T[]>查询运动健康采样数据,通过SamplePointReadRequest设置查询条件,可按数据类型,字段、时间范围等条件查询。
deleteData(samplePoint: SamplePointSamplePoint[]): Promise<void>
deleteData(request: SamplePointDeleteRequestSamplePointDeleteRequest[]): Promise<void>
aggregateData<T extends AggregateResult>(request: AggregateRequestAggregateRequest[]): Promise<T[]>

aggregateData接口读取今日日常活动数据,数据上报存在延时,读取实时日常活动数据建议使用读取实时三环数据接口。

开发前检查

开发步骤

保存用户的运动健康数据

  1. 导入运动健康服务功能模块及相关公共模块。

    import { healthStore } from '@kit.HealthServiceKit';
    import { hilog } from '@kit.PerformanceAnalysisKit';
  2. 获取dataSourceId,参考管理数据源,插入一个新的数据源或读取已有数据源。

  3. 创建运动健康采样数据。

    let samplePoint: healthStore.samplePointHelper.bodyTemperature.Model = {
    dataType: healthStore.samplePointHelper.bodyTemperature.DATA_TYPE,
    startTime: 1698633801000,
    endTime: 1698633801000,
    localDate: '10/30/2023',
    timeZone: '+0800',
    modifiedTime: 1698633801000,
    // insertDataSource插入数据源接口返回的dataSourceId,或读取已有数据源的dataSourceId
    dataSourceId: 'xxx',
    fields: {
    bodyTemperature: 39
    }
    }
  4. 调用saveData方法执行保存数据请求,并处理返回结果。

    try {
    await healthStore.saveData(samplePoint);
    hilog.info(0x0000, 'testTag', 'Succeeded in saving data.');
    } catch (err) {
    hilog.error(0x0000, 'testTag', `Failed to save data. Code: ${err.code}, message: ${err.message}`);
    }

读取用户的运动健康数据

  1. 导入运动健康服务功能模块及相关公共模块。

    import { healthStore } from '@kit.HealthServiceKit';
    import { hilog } from '@kit.PerformanceAnalysisKit';
  2. 创建查询请求。

    let samplePointReadRequest: healthStore.SamplePointReadRequest = {
    samplePointDataType: healthStore.samplePointHelper.bodyTemperature.DATA_TYPE,
    startTime: 1698633801000,
    endTime: 1698633801000,
    fields: {
    bodyTemperature: 39
    }
    }
  3. 调用readData方法执行查询请求,并处理返回结果。

    try {
    let samplePoints = await healthStore.readData(samplePointReadRequest);
    samplePoints.forEach((samplePoint) => {
    hilog.info(0x0000, 'testTag', `Succeeded in reading data, the bodyTemperature is ${samplePoint.fields.bodyTemperature}.`);
    });
    } catch (err) {
    hilog.error(0x0000, 'testTag', `Failed to read data. Code: ${err.code}, message: ${err.message}`);
    }

删除指定的运动健康采样数据

  1. 导入运动健康服务功能模块及相关公共模块。

    import { healthStore } from '@kit.HealthServiceKit';
    import { hilog } from '@kit.PerformanceAnalysisKit';
  2. 查询待删除的运动健康采样数据。

    let samplePointReadRequest: healthStore.SamplePointReadRequest = {
    samplePointDataType: healthStore.samplePointHelper.bodyTemperature.DATA_TYPE,
    startTime: 1698633801000,
    endTime: 1698633801000
    }
    let samplePoints: healthStore.SamplePoint[] = await healthStore.readData(samplePointReadRequest);
  3. 调用deleteData方法执行删除请求,并处理返回结果。

    try {
    for (let index = 0; index < samplePoints.length; index++) {
    const samplePoint = samplePoints[index];
    await healthStore.deleteData(samplePoint);
    }
    hilog.info(0x0000, 'testTag', 'Succeeded in deleting data.');
    } catch (err) {
    hilog.error(0x0000, 'testTag', `Failed to delete data. Code: ${err.code}, message: ${err.message}`);
    }

根据请求删除用户运动健康数据

  1. 导入运动健康服务功能模块及相关公共模块。

    import { healthStore } from '@kit.HealthServiceKit';
    import { hilog } from '@kit.PerformanceAnalysisKit';
  2. 创建删除请求。

    let samplePointDeleteRequest: healthStore.SamplePointDeleteRequest = {
    dataType: healthStore.samplePointHelper.bodyTemperature.DATA_TYPE,
    startTime: 1698633801000,
    endTime: 1698633801000
    }
  3. 调用deleteData方法执行删除请求,并处理返回结果。

    try {
    await healthStore.deleteData(samplePointDeleteRequest);
    hilog.info(0x0000, 'testTag', 'Succeeded in deleting data.');
    } catch (err) {
    hilog.error(0x0000, 'testTag', `Failed to delete data. Code: ${err.code}, message: ${err.message}`);
    }

聚合查询

  1. 导入运动健康服务功能模块及相关公共模块。

    import { healthStore } from '@kit.HealthServiceKit';
    import { hilog } from '@kit.PerformanceAnalysisKit';
  2. 创建聚合查询请求。

    let aggregateRequest: healthStore.AggregateRequest<healthStore.samplePointHelper.dailyActivities.AggregateFields> = {
    dataType: healthStore.samplePointHelper.dailyActivities.DATA_TYPE,
    metrics: {
    step: ['sum'],
    calorie: ['sum'],
    distance: ['sum'],
    climbHighAltitude:['sum'],
    isIntensity: ['sum'],
    isStand: ['sum']
    },
    groupBy: {
    unitType: healthStore.GroupUnitType.DAY
    },
    startLocalDate: '10/30/2023',
    endLocalDate: '10/30/2023'
    }
  3. 调用aggregateData方法执行查询请求,并处理返回结果。

    try {
    const aggregateResults = await healthStore.aggregateData<healthStore.samplePointHelper.dailyActivities.AggregateResult>(aggregateRequest);
    hilog.info(0x0000, 'testTag', 'Succeeded in reading data.');
    aggregateResults.forEach((aggregateResult) => {
    hilog.info(0x0000, 'testTag', `the start time is ${aggregateResult.startTime}.`);
    hilog.info(0x0000, 'testTag', `the end time is ${aggregateResult.endTime}.`);
    Object.keys(aggregateResult.fields).forEach((fieldName) => {
    hilog.info(0x0000, 'testTag', `the sum of ${fieldName} is ${aggregateResult.fields[fieldName].sum}.`);
    });
    });
    } catch (err) {
    hilog.error(0x0000, 'testTag', `Failed to read data. Code: ${err.code}, message: ${err.message}`);
    }