499 lines
22 KiB
Java
499 lines
22 KiB
Java
/* Copyright (C) 2024 Damien Gaignon, Martin.JM
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This file is part of Gadgetbridge.
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Gadgetbridge is free software: you can redistribute it and/or modify
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it under the terms of the GNU Affero General Public License as published
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by the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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Gadgetbridge is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU Affero General Public License for more details.
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You should have received a copy of the GNU Affero General Public License
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along with this program. If not, see <https://www.gnu.org/licenses/>. */
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package nodomain.freeyourgadget.gadgetbridge.service.devices.huawei;
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import android.widget.Toast;
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import org.json.JSONObject;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import java.nio.charset.StandardCharsets;
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import java.util.Date;
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import java.util.Iterator;
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import java.util.List;
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import java.util.ListIterator;
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import de.greenrobot.dao.query.QueryBuilder;
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import nodomain.freeyourgadget.gadgetbridge.GBApplication;
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import nodomain.freeyourgadget.gadgetbridge.GBException;
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import nodomain.freeyourgadget.gadgetbridge.database.DBHandler;
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import nodomain.freeyourgadget.gadgetbridge.devices.huawei.packets.Workout;
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import nodomain.freeyourgadget.gadgetbridge.entities.BaseActivitySummary;
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import nodomain.freeyourgadget.gadgetbridge.entities.BaseActivitySummaryDao;
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import nodomain.freeyourgadget.gadgetbridge.entities.HuaweiWorkoutDataSample;
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import nodomain.freeyourgadget.gadgetbridge.entities.HuaweiWorkoutDataSampleDao;
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import nodomain.freeyourgadget.gadgetbridge.entities.HuaweiWorkoutPaceSample;
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import nodomain.freeyourgadget.gadgetbridge.entities.HuaweiWorkoutPaceSampleDao;
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import nodomain.freeyourgadget.gadgetbridge.entities.HuaweiWorkoutSummarySample;
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import nodomain.freeyourgadget.gadgetbridge.entities.HuaweiWorkoutSummarySampleDao;
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import nodomain.freeyourgadget.gadgetbridge.model.ActivityKind;
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import nodomain.freeyourgadget.gadgetbridge.service.devices.sonyswr12.entities.activity.ActivityType;
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import nodomain.freeyourgadget.gadgetbridge.util.GB;
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import nodomain.freeyourgadget.gadgetbridge.util.StringUtils;
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/**
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* This class parses the Huawei workouts into the table GB uses to show the workouts
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* It also re-parses the unknown data from the workout tables
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* It is a separate class so it can easily be used to re-parse the data without database migrations
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*/
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public class HuaweiWorkoutGbParser {
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private static final Logger LOG = LoggerFactory.getLogger(HuaweiWorkoutGbParser.class);
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// TODO: Might be nicer to propagate the exceptions, so they can be handled upstream
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public static void parseAllWorkouts() {
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parseUnknownWorkoutData();
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try (DBHandler db = GBApplication.acquireDB()) {
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QueryBuilder<HuaweiWorkoutSummarySample> qb = db.getDaoSession().getHuaweiWorkoutSummarySampleDao().queryBuilder();
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for (HuaweiWorkoutSummarySample summary : qb.listLazy()) {
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parseWorkout(summary.getWorkoutId());
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}
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} catch (Exception e) {
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GB.toast("Exception parsing workouts", Toast.LENGTH_SHORT, GB.ERROR, e);
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LOG.error("Exception parsing workouts", e);
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}
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}
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/**
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* Parses the unknown data from the workout data table
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*/
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private static void parseUnknownWorkoutData() {
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try (DBHandler dbHandler = GBApplication.acquireDB()) {
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QueryBuilder<HuaweiWorkoutDataSample> qb = dbHandler.getDaoSession().getHuaweiWorkoutDataSampleDao().queryBuilder().where(
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HuaweiWorkoutDataSampleDao.Properties.DataErrorHex.notEq("")
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);
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for (HuaweiWorkoutDataSample sample : qb.build().listLazy()) {
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byte[] data = GB.hexStringToByteArray(new String(sample.getDataErrorHex()));
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Workout.WorkoutData.Response response = new Workout.WorkoutData.Response(data);
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for (Workout.WorkoutData.Response.Data responseData : response.dataList) {
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byte[] dataErrorHex;
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if (responseData.unknownData == null)
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dataErrorHex = null;
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else
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dataErrorHex = StringUtils.bytesToHex(responseData.unknownData).getBytes(StandardCharsets.UTF_8);
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HuaweiWorkoutDataSample dataSample = new HuaweiWorkoutDataSample(
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sample.getWorkoutId(),
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responseData.timestamp,
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responseData.heartRate,
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responseData.speed,
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responseData.stepRate,
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responseData.cadence,
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responseData.stepLength,
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responseData.groundContactTime,
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responseData.impact,
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responseData.swingAngle,
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responseData.foreFootLanding,
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responseData.midFootLanding,
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responseData.backFootLanding,
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responseData.eversionAngle,
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responseData.swolf,
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responseData.strokeRate,
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dataErrorHex
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);
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dbHandler.getDaoSession().getHuaweiWorkoutDataSampleDao().insertOrReplace(dataSample);
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}
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}
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} catch (Exception e) {
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GB.toast("Exception parsing unknown workout data", Toast.LENGTH_SHORT, GB.ERROR, e);
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LOG.error("Exception parsing unknown workout data", e);
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}
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}
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public static int huaweiTypeToGbType(byte huaweiType) {
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int type = huaweiType & 0xFF;
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switch (type) {
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case 1:
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return ActivityKind.TYPE_RUNNING;
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case 2:
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case 13:
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return ActivityKind.TYPE_WALKING;
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case 6:
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return ActivityKind.TYPE_SWIMMING;
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case 5:
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return ActivityKind.TYPE_CYCLING;
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case 7:
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return ActivityKind.TYPE_INDOOR_CYCLING;
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case 129:
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return ActivityKind.TYPE_BADMINTON;
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case 130:
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return ActivityKind.TYPE_EXERCISE; // TODO: Tennis
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case 132:
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return ActivityKind.TYPE_BASKETBALL;
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case 133:
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return ActivityKind.TYPE_EXERCISE; // TODO: Volleyball
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case 134:
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return ActivityKind.TYPE_ELLIPTICAL_TRAINER;
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case 135:
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return ActivityKind.TYPE_ROWING_MACHINE;
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case 173:
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return ActivityKind.TYPE_EXERCISE; // TODO: Laser tag
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case 177:
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return ActivityKind.TYPE_EXERCISE; // TODO: stair climbing
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case 196:
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return ActivityKind.TYPE_EXERCISE; // TODO: fishing
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case 216:
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return ActivityKind.TYPE_EXERCISE; // TODO: motor racing
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default:
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return ActivityKind.TYPE_UNKNOWN;
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}
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}
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public static void parseWorkout(Long workoutId) {
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if (workoutId == null)
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return;
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try (DBHandler db = GBApplication.acquireDB()) {
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QueryBuilder<HuaweiWorkoutSummarySample> qbSummary = db.getDaoSession().getHuaweiWorkoutSummarySampleDao().queryBuilder().where(
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HuaweiWorkoutSummarySampleDao.Properties.WorkoutId.eq(workoutId)
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);
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List<HuaweiWorkoutSummarySample> summarySamples = qbSummary.build().list();
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if (summarySamples.size() != 1)
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return;
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HuaweiWorkoutSummarySample summary = summarySamples.get(0);
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QueryBuilder<HuaweiWorkoutDataSample> qbData = db.getDaoSession().getHuaweiWorkoutDataSampleDao().queryBuilder().where(
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HuaweiWorkoutDataSampleDao.Properties.WorkoutId.eq(workoutId)
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);
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List<HuaweiWorkoutDataSample> dataSamples = qbData.build().list();
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QueryBuilder<HuaweiWorkoutPaceSample> qbPace = db.getDaoSession().getHuaweiWorkoutPaceSampleDao().queryBuilder().where(
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HuaweiWorkoutPaceSampleDao.Properties.WorkoutId.eq(workoutId)
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);
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long userId = summary.getUserId();
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long deviceId = summary.getDeviceId();
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Date start = new Date(summary.getStartTimestamp() * 1000L);
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Date end = new Date(summary.getEndTimestamp() * 1000L);
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// Avoid duplicates
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QueryBuilder<BaseActivitySummary> qb = db.getDaoSession().getBaseActivitySummaryDao().queryBuilder().where(
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BaseActivitySummaryDao.Properties.UserId.eq(userId),
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BaseActivitySummaryDao.Properties.DeviceId.eq(deviceId),
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BaseActivitySummaryDao.Properties.StartTime.eq(start),
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BaseActivitySummaryDao.Properties.EndTime.eq(end)
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);
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List<BaseActivitySummary> duplicates = qb.build().list();
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BaseActivitySummary previous = null;
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if (!duplicates.isEmpty())
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previous = duplicates.get(0);
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int type = huaweiTypeToGbType(summary.getType());
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JSONObject jsonObject = new JSONObject();
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// TODO: Use translatable strings
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JSONObject calories = new JSONObject();
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calories.put("value", summary.getCalories());
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calories.put("unit", "calories_unit");
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jsonObject.put("caloriesBurnt", calories);
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JSONObject distance = new JSONObject();
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distance.put("value", summary.getDistance());
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distance.put("unit", "meters");
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jsonObject.put("distanceMeters", distance);
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JSONObject steps = new JSONObject();
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steps.put("value", summary.getStepCount());
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steps.put("unit", "steps_unit");
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jsonObject.put("steps", steps);
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JSONObject time = new JSONObject();
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time.put("value", summary.getDuration());
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time.put("unit", "seconds");
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jsonObject.put("activeSeconds", time);
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JSONObject status = new JSONObject();
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status.put("value", summary.getStatus() & 0xFF);
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status.put("unit", "");
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jsonObject.put("Status", status);
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JSONObject typeJson = new JSONObject();
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typeJson.put("value", summary.getType() & 0xFF);
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typeJson.put("unit", "");
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jsonObject.put("Type", typeJson);
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JSONObject strokesJson = new JSONObject();
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strokesJson.put("value", summary.getStrokes());
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strokesJson.put("unit", "");
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jsonObject.put("Strokes", strokesJson);
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JSONObject avgStrokeRateJson = new JSONObject();
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avgStrokeRateJson.put("value", summary.getAvgStrokeRate());
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avgStrokeRateJson.put("unit", "");
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jsonObject.put("Average reported stroke rate", avgStrokeRateJson);
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JSONObject poolLengthJson = new JSONObject();
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poolLengthJson.put("value", summary.getPoolLength());
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poolLengthJson.put("unit", "cm");
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jsonObject.put("Pool length", poolLengthJson);
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JSONObject lapsJson = new JSONObject();
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lapsJson.put("value", summary.getLaps());
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lapsJson.put("unit", "");
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jsonObject.put("Laps", lapsJson);
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JSONObject avgSwolfJson = new JSONObject();
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avgSwolfJson.put("value", summary.getAvgSwolf());
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avgSwolfJson.put("unit", "");
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jsonObject.put("Average reported swolf", avgSwolfJson);
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boolean unknownData = false;
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if (dataSamples.size() != 0) {
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int speed = 0;
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int stepRate = 0;
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int cadence = 0;
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int stepLength = 0;
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int groundContactTime = 0;
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int impact = 0;
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int maxImpact = 0;
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int swingAngle = 0;
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int foreFootLanding = 0;
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int midFootLanding = 0;
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int backFootLanding = 0;
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int eversionAngle = 0;
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int maxEversionAngle = 0;
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int swolf = 0;
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int maxSwolf = 0;
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int strokeRate = 0;
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int maxStrokeRate = 0;
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for (HuaweiWorkoutDataSample dataSample : dataSamples) {
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speed += dataSample.getSpeed();
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stepRate += dataSample.getStepRate();
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cadence += dataSample.getCadence();
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stepLength += dataSample.getStepLength();
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groundContactTime += dataSample.getGroundContactTime();
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impact += dataSample.getImpact();
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if (dataSample.getImpact() > maxImpact)
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maxImpact = dataSample.getImpact();
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swingAngle += dataSample.getSwingAngle();
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foreFootLanding += dataSample.getForeFootLanding();
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midFootLanding += dataSample.getMidFootLanding();
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backFootLanding += dataSample.getBackFootLanding();
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eversionAngle += dataSample.getEversionAngle();
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if (dataSample.getEversionAngle() > maxEversionAngle)
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maxEversionAngle = dataSample.getEversionAngle();
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swolf += dataSample.getSwolf();
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if (dataSample.getSwolf() > maxSwolf)
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maxSwolf = dataSample.getSwolf();
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strokeRate += dataSample.getStrokeRate();
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if (dataSample.getStrokeRate() > maxStrokeRate)
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maxStrokeRate = dataSample.getStrokeRate();
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if (dataSample.getDataErrorHex() != null)
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unknownData = true;
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}
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// Average the things that should probably be averaged
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speed = speed / dataSamples.size();
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cadence = cadence / dataSamples.size();
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int avgStepRate = stepRate / (summary.getDuration() / 60); // steps per minute
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stepLength = stepLength / dataSamples.size();
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groundContactTime = groundContactTime / dataSamples.size();
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impact = impact / dataSamples.size();
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swingAngle = swingAngle / dataSamples.size();
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eversionAngle = eversionAngle / dataSamples.size();
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swolf = swolf / dataSamples.size();
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strokeRate = strokeRate / dataSamples.size();
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JSONObject speedJson = new JSONObject();
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speedJson.put("value", speed);
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speedJson.put("unit", "cm/s");
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jsonObject.put("Reported speed (avg)", speedJson);
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JSONObject stepRateSumJson = new JSONObject();
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stepRateSumJson.put("value", stepRate);
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stepRateSumJson.put("unit", "");
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jsonObject.put("Step rate (sum)", stepRateSumJson);
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JSONObject stepRateAvgJson = new JSONObject();
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stepRateAvgJson.put("value", avgStepRate);
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stepRateAvgJson.put("unit", "steps/min");
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jsonObject.put("Step rate (avg)", stepRateAvgJson);
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JSONObject cadenceJson = new JSONObject();
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cadenceJson.put("value", cadence);
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cadenceJson.put("unit", "steps/min");
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jsonObject.put("Cadence (avg)", cadenceJson);
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JSONObject stepLengthJson = new JSONObject();
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stepLengthJson.put("value", stepLength);
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stepLengthJson.put("unit", "cm");
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jsonObject.put("Step Length (avg)", stepLengthJson);
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JSONObject groundContactTimeJson = new JSONObject();
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groundContactTimeJson.put("value", groundContactTime);
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groundContactTimeJson.put("unit", "milliseconds");
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jsonObject.put("Ground contact time (avg)", groundContactTimeJson);
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JSONObject impactJson = new JSONObject();
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impactJson.put("value", impact);
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impactJson.put("unit", "g");
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jsonObject.put("Impact (avg)", impactJson);
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JSONObject maxImpactJson = new JSONObject();
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maxImpactJson.put("value", maxImpact);
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maxImpactJson.put("unit", "g");
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jsonObject.put("Impact (max)", maxImpactJson);
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JSONObject swingAngleJson = new JSONObject();
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swingAngleJson.put("value", swingAngle);
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swingAngleJson.put("unit", "degrees");
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jsonObject.put("Swing angle (avg)", swingAngleJson);
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JSONObject foreFootLandingJson = new JSONObject();
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foreFootLandingJson.put("value", foreFootLanding);
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foreFootLandingJson.put("unit", "");
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jsonObject.put("Fore foot landings", foreFootLandingJson);
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JSONObject midFootLandingJson = new JSONObject();
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midFootLandingJson.put("value", midFootLanding);
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midFootLandingJson.put("unit", "");
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jsonObject.put("Mid foot landings", midFootLandingJson);
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JSONObject backFootLandingJson = new JSONObject();
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backFootLandingJson.put("value", backFootLanding);
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backFootLandingJson.put("unit", "");
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jsonObject.put("Back foot landings", backFootLandingJson);
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JSONObject eversionAngleJson = new JSONObject();
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eversionAngleJson.put("value", eversionAngle);
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eversionAngleJson.put("unit", "degrees");
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jsonObject.put("Eversion angle (avg)", eversionAngleJson);
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JSONObject maxEversionAngleJson = new JSONObject();
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maxEversionAngleJson.put("value", maxEversionAngle);
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maxEversionAngleJson.put("unit", "degrees");
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jsonObject.put("Eversion angle (max)", maxEversionAngleJson);
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JSONObject swolfJson = new JSONObject();
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swolfJson.put("value", swolf);
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swolfJson.put("unit", "");
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jsonObject.put("Swolf (avg calculated)", swolfJson);
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JSONObject maxSwolfJson = new JSONObject();
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maxSwolfJson.put("value", maxSwolf);
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maxSwolfJson.put("unit", "");
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jsonObject.put("Swolf (max)", maxSwolfJson);
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JSONObject strokeRateJson = new JSONObject();
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strokeRateJson.put("value", strokeRate);
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strokeRateJson.put("unit", "");
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jsonObject.put("Stroke rate (avg calculated)", strokeRateJson);
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JSONObject maxStrokeRateJson = new JSONObject();
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maxStrokeRateJson.put("value", maxStrokeRate);
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maxStrokeRateJson.put("unit", "");
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jsonObject.put("Stroke rate (max)", maxStrokeRateJson);
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}
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ListIterator<HuaweiWorkoutPaceSample> it = qbPace.build().listIterator();
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int count = 0;
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int pace = 0;
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while (it.hasNext()) {
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int index = it.nextIndex();
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HuaweiWorkoutPaceSample sample = it.next();
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count += 1;
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pace += sample.getPace();
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JSONObject paceDistance = new JSONObject();
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paceDistance.put("value", sample.getDistance());
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paceDistance.put("unit", "kilometers");
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jsonObject.put(String.format(GBApplication.getLanguage() , "Pace %d distance", index), paceDistance);
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JSONObject paceType = new JSONObject();
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paceType.put("value", sample.getType());
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paceType.put("unit", ""); // TODO: not sure
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jsonObject.put(String.format(GBApplication.getLanguage(), "Pace %d type", index), paceType);
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JSONObject pacePace = new JSONObject();
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pacePace.put("value", sample.getPace());
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pacePace.put("unit", "seconds_km");
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jsonObject.put(String.format(GBApplication.getLanguage(), "Pace %d pace", index), pacePace);
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if (sample.getCorrection() != 0) {
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JSONObject paceCorrection = new JSONObject();
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paceCorrection.put("value", sample.getCorrection());
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paceCorrection.put("unit", "m");
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jsonObject.put(String.format(GBApplication.getLanguage(), "Pace %d correction", index), paceCorrection);
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}
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}
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if (count != 0) {
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JSONObject avgPace = new JSONObject();
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avgPace.put("value", pace / count);
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avgPace.put("unit", "seconds_km");
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jsonObject.put("Average pace", avgPace);
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}
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if (unknownData) {
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JSONObject unknownDataJson = new JSONObject();
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unknownDataJson.put("value", "YES");
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unknownDataJson.put("unit", "string");
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jsonObject.put("Unknown data encountered", unknownDataJson);
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}
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BaseActivitySummary baseSummary;
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if (previous == null) {
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baseSummary = new BaseActivitySummary(
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null,
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"Workout " + summary.getWorkoutNumber(),
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start,
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|
end,
|
|
type,
|
|
null,
|
|
null,
|
|
null,
|
|
null,
|
|
null,
|
|
deviceId,
|
|
userId,
|
|
jsonObject.toString(),
|
|
null
|
|
);
|
|
} else {
|
|
baseSummary = new BaseActivitySummary(
|
|
previous.getId(),
|
|
previous.getName(),
|
|
start,
|
|
end,
|
|
type,
|
|
previous.getBaseLongitude(),
|
|
previous.getBaseLatitude(),
|
|
previous.getBaseAltitude(),
|
|
previous.getGpxTrack(),
|
|
previous.getRawDetailsPath(),
|
|
deviceId,
|
|
userId,
|
|
jsonObject.toString(),
|
|
null
|
|
);
|
|
}
|
|
db.getDaoSession().getBaseActivitySummaryDao().insertOrReplace(baseSummary);
|
|
} catch (Exception e) {
|
|
GB.toast("Exception parsing workout data", Toast.LENGTH_SHORT, GB.ERROR, e);
|
|
LOG.error("Exception parsing workout data", e);
|
|
}
|
|
}
|
|
}
|