Gadgetbridge/app/src/main/java/nodomain/freeyourgadget/gadgetbridge/service/devices/huawei/HuaweiWorkoutGbParser.java

693 lines
33 KiB
Java

/* Copyright (C) 2024 Damien Gaignon, Martin.JM
This file is part of Gadgetbridge.
Gadgetbridge is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published
by the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Gadgetbridge is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>. */
package nodomain.freeyourgadget.gadgetbridge.service.devices.huawei;
import android.widget.Toast;
import org.json.JSONObject;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.nio.charset.StandardCharsets;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import de.greenrobot.dao.query.CloseableListIterator;
import de.greenrobot.dao.query.QueryBuilder;
import nodomain.freeyourgadget.gadgetbridge.GBApplication;
import nodomain.freeyourgadget.gadgetbridge.R;
import nodomain.freeyourgadget.gadgetbridge.database.DBHandler;
import nodomain.freeyourgadget.gadgetbridge.devices.huawei.packets.Workout;
import nodomain.freeyourgadget.gadgetbridge.entities.BaseActivitySummary;
import nodomain.freeyourgadget.gadgetbridge.entities.BaseActivitySummaryDao;
import nodomain.freeyourgadget.gadgetbridge.entities.HuaweiWorkoutDataSample;
import nodomain.freeyourgadget.gadgetbridge.entities.HuaweiWorkoutDataSampleDao;
import nodomain.freeyourgadget.gadgetbridge.entities.HuaweiWorkoutPaceSample;
import nodomain.freeyourgadget.gadgetbridge.entities.HuaweiWorkoutPaceSampleDao;
import nodomain.freeyourgadget.gadgetbridge.entities.HuaweiWorkoutSummarySample;
import nodomain.freeyourgadget.gadgetbridge.entities.HuaweiWorkoutSummarySampleDao;
import nodomain.freeyourgadget.gadgetbridge.model.ActivityKind;
import nodomain.freeyourgadget.gadgetbridge.model.ActivitySummaryEntries;
import nodomain.freeyourgadget.gadgetbridge.util.GB;
import nodomain.freeyourgadget.gadgetbridge.util.StringUtils;
/**
* This class parses the Huawei workouts into the table GB uses to show the workouts
* It also re-parses the unknown data from the workout tables
* It is a separate class so it can easily be used to re-parse the data without database migrations
*/
public class HuaweiWorkoutGbParser {
private static final Logger LOG = LoggerFactory.getLogger(HuaweiWorkoutGbParser.class);
// TODO: Might be nicer to propagate the exceptions, so they can be handled upstream
public static void parseAllWorkouts() {
parseUnknownWorkoutData();
try (DBHandler db = GBApplication.acquireDB()) {
QueryBuilder<HuaweiWorkoutSummarySample> qb = db.getDaoSession().getHuaweiWorkoutSummarySampleDao().queryBuilder();
for (HuaweiWorkoutSummarySample summary : qb.listLazy()) {
parseWorkout(summary.getWorkoutId());
}
} catch (Exception e) {
GB.toast("Exception parsing workouts", Toast.LENGTH_SHORT, GB.ERROR, e);
LOG.error("Exception parsing workouts", e);
}
}
/**
* Parses the unknown data from the workout data table
*/
private static void parseUnknownWorkoutData() {
try (DBHandler dbHandler = GBApplication.acquireDB()) {
QueryBuilder<HuaweiWorkoutDataSample> qb = dbHandler.getDaoSession().getHuaweiWorkoutDataSampleDao().queryBuilder().where(
HuaweiWorkoutDataSampleDao.Properties.DataErrorHex.notEq("")
);
for (HuaweiWorkoutDataSample sample : qb.build().listLazy()) {
byte[] data = GB.hexStringToByteArray(new String(sample.getDataErrorHex()));
Workout.WorkoutData.Response response = new Workout.WorkoutData.Response(data);
for (Workout.WorkoutData.Response.Data responseData : response.dataList) {
byte[] dataErrorHex;
if (responseData.unknownData == null)
dataErrorHex = null;
else
dataErrorHex = StringUtils.bytesToHex(responseData.unknownData).getBytes(StandardCharsets.UTF_8);
HuaweiWorkoutDataSample dataSample = new HuaweiWorkoutDataSample(
sample.getWorkoutId(),
responseData.timestamp,
responseData.heartRate,
responseData.speed,
responseData.stepRate,
responseData.cadence,
responseData.stepLength,
responseData.groundContactTime,
responseData.impact,
responseData.swingAngle,
responseData.foreFootLanding,
responseData.midFootLanding,
responseData.backFootLanding,
responseData.eversionAngle,
responseData.swolf,
responseData.strokeRate,
dataErrorHex,
responseData.calories,
responseData.cyclingPower
);
dbHandler.getDaoSession().getHuaweiWorkoutDataSampleDao().insertOrReplace(dataSample);
}
}
} catch (Exception e) {
GB.toast("Exception parsing unknown workout data", Toast.LENGTH_SHORT, GB.ERROR, e);
LOG.error("Exception parsing unknown workout data", e);
}
}
public static int huaweiTypeToGbType(byte huaweiType) {
int type = huaweiType & 0xFF;
switch (type) {
case 1:
return ActivityKind.TYPE_RUNNING;
case 2:
case 13:
return ActivityKind.TYPE_WALKING;
case 6:
return ActivityKind.TYPE_SWIMMING;
case 3:
return ActivityKind.TYPE_CYCLING;
case 7:
return ActivityKind.TYPE_INDOOR_CYCLING;
case 129:
return ActivityKind.TYPE_BADMINTON;
case 130:
return ActivityKind.TYPE_EXERCISE; // TODO: Tennis
case 132:
return ActivityKind.TYPE_BASKETBALL;
case 133:
return ActivityKind.TYPE_EXERCISE; // TODO: Volleyball
case 134:
return ActivityKind.TYPE_ELLIPTICAL_TRAINER;
case 135:
return ActivityKind.TYPE_ROWING_MACHINE;
case 173:
return ActivityKind.TYPE_EXERCISE; // TODO: Laser tag
case 177:
return ActivityKind.TYPE_EXERCISE; // TODO: stair climbing
case 196:
return ActivityKind.TYPE_EXERCISE; // TODO: fishing
case 216:
return ActivityKind.TYPE_EXERCISE; // TODO: motor racing
default:
return ActivityKind.TYPE_UNKNOWN;
}
}
public static void parseWorkout(Long workoutId) {
if (workoutId == null)
return;
try (DBHandler db = GBApplication.acquireDB()) {
QueryBuilder<HuaweiWorkoutSummarySample> qbSummary = db.getDaoSession().getHuaweiWorkoutSummarySampleDao().queryBuilder().where(
HuaweiWorkoutSummarySampleDao.Properties.WorkoutId.eq(workoutId)
);
List<HuaweiWorkoutSummarySample> summarySamples = qbSummary.build().list();
if (summarySamples.size() != 1)
return;
HuaweiWorkoutSummarySample summary = summarySamples.get(0);
QueryBuilder<HuaweiWorkoutDataSample> qbData = db.getDaoSession().getHuaweiWorkoutDataSampleDao().queryBuilder().where(
HuaweiWorkoutDataSampleDao.Properties.WorkoutId.eq(workoutId)
);
List<HuaweiWorkoutDataSample> dataSamples = qbData.build().list();
QueryBuilder<HuaweiWorkoutPaceSample> qbPace = db.getDaoSession().getHuaweiWorkoutPaceSampleDao().queryBuilder().where(
HuaweiWorkoutPaceSampleDao.Properties.WorkoutId.eq(workoutId)
);
long userId = summary.getUserId();
long deviceId = summary.getDeviceId();
Date start = new Date(summary.getStartTimestamp() * 1000L);
Date end = new Date(summary.getEndTimestamp() * 1000L);
// Avoid duplicates
QueryBuilder<BaseActivitySummary> qb = db.getDaoSession().getBaseActivitySummaryDao().queryBuilder().where(
BaseActivitySummaryDao.Properties.UserId.eq(userId),
BaseActivitySummaryDao.Properties.DeviceId.eq(deviceId),
BaseActivitySummaryDao.Properties.StartTime.eq(start),
BaseActivitySummaryDao.Properties.EndTime.eq(end)
);
List<BaseActivitySummary> duplicates = qb.build().list();
BaseActivitySummary previous = null;
if (!duplicates.isEmpty())
previous = duplicates.get(0);
int type = huaweiTypeToGbType(summary.getType());
JSONObject jsonObject = new JSONObject();
JSONObject calories = new JSONObject();
calories.put("value", summary.getCalories());
calories.put("unit", ActivitySummaryEntries.UNIT_KCAL);
jsonObject.put(ActivitySummaryEntries.CALORIES_BURNT, calories);
JSONObject distance = new JSONObject();
distance.put("value", summary.getDistance());
distance.put("unit", ActivitySummaryEntries.UNIT_METERS);
jsonObject.put(ActivitySummaryEntries.DISTANCE_METERS, distance);
JSONObject steps = new JSONObject();
steps.put("value", summary.getStepCount());
steps.put("unit", ActivitySummaryEntries.UNIT_STEPS);
jsonObject.put(ActivitySummaryEntries.STEPS, steps);
JSONObject time = new JSONObject();
time.put("value", summary.getDuration());
time.put("unit", ActivitySummaryEntries.UNIT_SECONDS);
jsonObject.put(ActivitySummaryEntries.ACTIVE_SECONDS, time);
JSONObject status = new JSONObject();
status.put("value", summary.getStatus() & 0xFF);
status.put("unit", "");
jsonObject.put(ActivitySummaryEntries.STATUS, status);
JSONObject typeJson = new JSONObject();
typeJson.put("value", summary.getType() & 0xFF);
typeJson.put("unit", "");
jsonObject.put(ActivitySummaryEntries.TYPE, typeJson);
if (summary.getStrokes() != -1) {
JSONObject strokesJson = new JSONObject();
strokesJson.put("value", summary.getStrokes());
strokesJson.put("unit", ActivitySummaryEntries.UNIT_STROKES);
jsonObject.put(ActivitySummaryEntries.STROKES, strokesJson);
}
if (summary.getAvgStrokeRate() != -1) {
JSONObject avgStrokeRateJson = new JSONObject();
avgStrokeRateJson.put("value", summary.getAvgStrokeRate());
avgStrokeRateJson.put("unit", ""); // TODO: find out unit
jsonObject.put(ActivitySummaryEntries.STROKE_RATE_AVG, avgStrokeRateJson);
}
if (summary.getPoolLength() != -1) {
JSONObject poolLengthJson = new JSONObject();
poolLengthJson.put("value", summary.getPoolLength());
poolLengthJson.put("unit", ActivitySummaryEntries.UNIT_CM);
jsonObject.put(ActivitySummaryEntries.LANE_LENGTH, poolLengthJson);
}
if (summary.getLaps() != -1) {
JSONObject lapsJson = new JSONObject();
lapsJson.put("value", summary.getLaps());
lapsJson.put("unit", ActivitySummaryEntries.UNIT_LAPS);
jsonObject.put(ActivitySummaryEntries.LAPS, lapsJson);
}
if (summary.getAvgSwolf() != -1) {
JSONObject avgSwolfJson = new JSONObject();
avgSwolfJson.put("value", summary.getAvgSwolf());
avgSwolfJson.put("unit", "");
jsonObject.put(ActivitySummaryEntries.SWOLF_AVG, avgSwolfJson);
}
boolean unknownData = false;
if (dataSamples.size() != 0) {
int speed = 0;
int speedCount = 0;
boolean stepRatePresent = false;
int stepRate = 0;
int avgStepRate = 0;
int cadence = 0;
int cadenceCount = 0;
int stepLength = 0;
int stepLengthCount = 0;
int groundContactTime = 0;
int groundContactTimeCount = 0;
int impact = 0;
int impactCount = 0;
int maxImpact = 0;
int swingAngle = 0;
int swingAngleCount = 0;
boolean footLandingPresent = false;
int foreFootLanding = 0;
int midFootLanding = 0;
int backFootLanding = 0;
int eversionAngle = 0;
int eversionAngleCount = 0;
int maxEversionAngle = 0;
int swolf = 0;
int swolfCount = 0;
int maxSwolf = 0;
int minSwolf = 0;
int strokeRate = 0;
int strokeRateCount = 0;
int maxStrokeRate = 0;
int heartRate = 0;
int heartRateCount = 0;
int maxHeartRate = 0;
int minHeartRate = Integer.MAX_VALUE;
int sumCalories = 0;
int minCyclingPower = Integer.MAX_VALUE;
int maxCyclingPower = 0;
int cyclingPower = 0;
int cyclingPowerCount = 0;
for (HuaweiWorkoutDataSample dataSample : dataSamples) {
if (dataSample.getSpeed() != -1) {
speed += dataSample.getSpeed();
speedCount += 1;
}
if (dataSample.getStepRate() != -1) {
stepRate += dataSample.getStepRate();
stepRatePresent = true;
}
if (dataSample.getCadence() != -1) {
cadence += dataSample.getCadence();
cadenceCount += 1;
}
if (dataSample.getStepLength() != -1) {
stepLength += dataSample.getStepLength();
stepLengthCount += 1;
}
if (dataSample.getGroundContactTime() != -1) {
groundContactTime += dataSample.getGroundContactTime();
groundContactTimeCount += 1;
}
if (dataSample.getImpact() != -1) {
impact += dataSample.getImpact();
impactCount += 1;
if (dataSample.getImpact() > maxImpact)
maxImpact = dataSample.getImpact();
}
if (dataSample.getSwingAngle() != -1) {
swingAngle += dataSample.getSwingAngle();
swingAngleCount += 1;
}
if (dataSample.getForeFootLanding() != -1) {
foreFootLanding += dataSample.getForeFootLanding();
footLandingPresent = true;
}
if (dataSample.getMidFootLanding() != -1) {
midFootLanding += dataSample.getMidFootLanding();
footLandingPresent = true;
}
if (dataSample.getBackFootLanding() != -1) {
backFootLanding += dataSample.getBackFootLanding();
footLandingPresent = true;
}
if (dataSample.getEversionAngle() != -1) {
eversionAngle += dataSample.getEversionAngle();
eversionAngleCount += 1;
if (dataSample.getEversionAngle() > maxEversionAngle)
maxEversionAngle = dataSample.getEversionAngle();
}
if (dataSample.getSwolf() != -1) {
swolf += dataSample.getSwolf();
swolfCount += 1;
if (dataSample.getSwolf() > maxSwolf)
maxSwolf = dataSample.getSwolf();
if (dataSample.getSwolf() < minSwolf)
minSwolf = dataSample.getSwolf();
}
if (dataSample.getStrokeRate() != -1) {
strokeRate += dataSample.getStrokeRate();
strokeRateCount += 1;
if (dataSample.getStrokeRate() > maxStrokeRate)
maxStrokeRate = dataSample.getStrokeRate();
}
if (dataSample.getHeartRate() != -1 && dataSample.getHeartRate() != 0) {
int hr = dataSample.getHeartRate() & 0xff;
heartRate += hr;
heartRateCount += 1;
if (hr > maxHeartRate)
maxHeartRate = hr;
if (hr < minHeartRate)
minHeartRate = hr;
}
if (dataSample.getCalories() != -1)
sumCalories += dataSample.getCalories();
if (dataSample.getCyclingPower() != -1) {
int cp = dataSample.getCyclingPower();
cyclingPower += cp;
cyclingPowerCount += 1;
if (cp > maxCyclingPower)
maxCyclingPower = cp;
if (cp < minCyclingPower)
minCyclingPower = cp;
}
if (dataSample.getDataErrorHex() != null)
unknownData = true;
}
// Average the things that should be averaged
if (speedCount > 0)
speed = speed / speedCount;
if (cadenceCount > 0)
cadence = cadence / cadenceCount;
if (summary.getDuration() > 60)
avgStepRate = stepRate / (summary.getDuration() / 60); // steps per minute
if (stepLengthCount > 0)
stepLength = stepLength / stepLengthCount;
if (groundContactTimeCount > 0)
groundContactTime = groundContactTime / groundContactTimeCount;
if (impactCount > 0)
impact = impact / impactCount;
if (swingAngleCount > 0)
swingAngle = swingAngle / swingAngleCount;
if (eversionAngleCount > 0)
eversionAngle = eversionAngle / eversionAngleCount;
if (swolfCount > 0)
swolf = swolf / swolfCount;
if (strokeRateCount > 0)
strokeRate = strokeRate / strokeRateCount;
if (heartRateCount > 0)
heartRate = heartRate / heartRateCount;
if (cyclingPowerCount > 0)
cyclingPower = cyclingPower / cyclingPowerCount;
if (speedCount > 0) {
JSONObject speedJson = new JSONObject();
speedJson.put("value", speed / 10);
speedJson.put("unit", ActivitySummaryEntries.UNIT_METERS_PER_SECOND);
jsonObject.put(ActivitySummaryEntries.SPEED_AVG, speedJson);
}
if (stepRatePresent) {
JSONObject stepRateSumJson = new JSONObject();
stepRateSumJson.put("value", stepRate);
stepRateSumJson.put("unit", ActivitySummaryEntries.UNIT_SPM);
jsonObject.put(ActivitySummaryEntries.STEP_RATE_SUM, stepRateSumJson);
JSONObject stepRateAvgJson = new JSONObject();
stepRateAvgJson.put("value", avgStepRate);
stepRateAvgJson.put("unit", ActivitySummaryEntries.UNIT_SPM);
jsonObject.put(ActivitySummaryEntries.STEP_RATE_AVG, stepRateAvgJson);
}
if (cadenceCount > 0) {
JSONObject cadenceJson = new JSONObject();
cadenceJson.put("value", cadence);
cadenceJson.put("unit", ActivitySummaryEntries.UNIT_SPM);
jsonObject.put(ActivitySummaryEntries.CADENCE_AVG, cadenceJson);
}
if (stepLengthCount > 0) {
JSONObject stepLengthJson = new JSONObject();
stepLengthJson.put("value", stepLength);
stepLengthJson.put("unit", ActivitySummaryEntries.UNIT_CM);
jsonObject.put(ActivitySummaryEntries.STEP_LENGTH_AVG, stepLengthJson);
}
if (groundContactTimeCount > 0) {
JSONObject groundContactTimeJson = new JSONObject();
groundContactTimeJson.put("value", groundContactTime);
groundContactTimeJson.put("unit", ActivitySummaryEntries.UNIT_MILLISECONDS);
jsonObject.put(ActivitySummaryEntries.GROUND_CONTACT_TIME_AVG, groundContactTimeJson);
}
if (impactCount > 0) {
JSONObject impactJson = new JSONObject();
impactJson.put("value", impact);
impactJson.put("unit", "g");
jsonObject.put(ActivitySummaryEntries.IMPACT_AVG, impactJson);
JSONObject maxImpactJson = new JSONObject();
maxImpactJson.put("value", maxImpact);
maxImpactJson.put("unit", "g");
jsonObject.put(ActivitySummaryEntries.IMPACT_MAX, maxImpactJson);
}
if (swingAngleCount > 0) {
JSONObject swingAngleJson = new JSONObject();
swingAngleJson.put("value", swingAngle);
swingAngleJson.put("unit", ActivitySummaryEntries.UNIT_DEGREES);
jsonObject.put(ActivitySummaryEntries.SWING_ANGLE_AVG, swingAngleJson);
}
if (footLandingPresent) {
JSONObject foreFootLandingJson = new JSONObject();
foreFootLandingJson.put("value", foreFootLanding);
foreFootLandingJson.put("unit", "");
jsonObject.put(ActivitySummaryEntries.FORE_FOOT_LANDINGS, foreFootLandingJson);
JSONObject midFootLandingJson = new JSONObject();
midFootLandingJson.put("value", midFootLanding);
midFootLandingJson.put("unit", "");
jsonObject.put(ActivitySummaryEntries.MID_FOOT_LANDINGS, midFootLandingJson);
JSONObject backFootLandingJson = new JSONObject();
backFootLandingJson.put("value", backFootLanding);
backFootLandingJson.put("unit", "");
jsonObject.put(ActivitySummaryEntries.BACK_FOOT_LANDINGS, backFootLandingJson);
}
if (eversionAngleCount > 0) {
JSONObject eversionAngleJson = new JSONObject();
eversionAngleJson.put("value", eversionAngle);
eversionAngleJson.put("unit", ActivitySummaryEntries.UNIT_DEGREES);
jsonObject.put(ActivitySummaryEntries.EVERSION_ANGLE_AVG, eversionAngleJson);
JSONObject maxEversionAngleJson = new JSONObject();
maxEversionAngleJson.put("value", maxEversionAngle);
maxEversionAngleJson.put("unit", ActivitySummaryEntries.UNIT_DEGREES);
jsonObject.put(ActivitySummaryEntries.EVERSION_ANGLE_MAX, maxEversionAngleJson);
}
if (swolfCount > 0) {
JSONObject swolfJson = new JSONObject();
swolfJson.put("value", swolf);
swolfJson.put("unit", "");
jsonObject.put(ActivitySummaryEntries.SWOLF_AVG, swolfJson);
JSONObject maxSwolfJson = new JSONObject();
maxSwolfJson.put("value", maxSwolf);
maxSwolfJson.put("unit", "");
jsonObject.put(ActivitySummaryEntries.SWOLF_MAX, maxSwolfJson);
JSONObject minSwolfJson = new JSONObject();
minSwolfJson.put("value", minSwolf);
minSwolfJson.put("unit", "");
jsonObject.put(ActivitySummaryEntries.SWOLF_MIN, minSwolfJson);
}
if (strokeRateCount > 0) {
JSONObject strokeRateJson = new JSONObject();
strokeRateJson.put("value", strokeRate);
strokeRateJson.put("unit", ""); // TODO: find out unit?
jsonObject.put(ActivitySummaryEntries.STROKE_RATE_AVG, strokeRateJson);
JSONObject maxStrokeRateJson = new JSONObject();
maxStrokeRateJson.put("value", maxStrokeRate);
maxStrokeRateJson.put("unit", ""); // TODO: find out unit?
jsonObject.put(ActivitySummaryEntries.STROKE_RATE_MAX, maxStrokeRateJson);
}
if (heartRateCount > 0) {
JSONObject heartRateJson = new JSONObject();
heartRateJson.put("value", heartRate);
heartRateJson.put("unit", ActivitySummaryEntries.UNIT_BPM);
jsonObject.put(ActivitySummaryEntries.HR_AVG, heartRateJson);
JSONObject maxHeartRateJson = new JSONObject();
maxHeartRateJson.put("value", maxHeartRate);
maxHeartRateJson.put("unit", ActivitySummaryEntries.UNIT_BPM);
jsonObject.put(ActivitySummaryEntries.HR_MAX, maxHeartRateJson);
JSONObject minHeartRateJson = new JSONObject();
minHeartRateJson.put("value", minHeartRate);
minHeartRateJson.put("unit", ActivitySummaryEntries.UNIT_BPM);
jsonObject.put(ActivitySummaryEntries.HR_MIN, minHeartRateJson);
}
if (sumCalories > 0) {
JSONObject caloriesSumJson = new JSONObject();
caloriesSumJson.put("value", sumCalories);
caloriesSumJson.put("unit", ActivitySummaryEntries.UNIT_KCAL);
jsonObject.put(ActivitySummaryEntries.CALORIES_BURNT, caloriesSumJson);
}
if (cyclingPowerCount > 0) {
JSONObject cyclingPowerJson = new JSONObject();
cyclingPowerJson.put("value", cyclingPower);
cyclingPowerJson.put("unit", "");
jsonObject.put(ActivitySummaryEntries.CYCLING_POWER_AVERAGE, cyclingPowerJson);
JSONObject minCyclingPowerJson = new JSONObject();
minCyclingPowerJson.put("value", minCyclingPower);
minCyclingPowerJson.put("unit", "");
jsonObject.put(ActivitySummaryEntries.CYCLING_POWER_MIN, minCyclingPowerJson);
JSONObject maxCyclingPowerJson = new JSONObject();
maxCyclingPowerJson.put("value", maxCyclingPower);
maxCyclingPowerJson.put("unit", "");
jsonObject.put(ActivitySummaryEntries.CYCLING_POWER_MAX, maxCyclingPowerJson);
}
}
try (CloseableListIterator<HuaweiWorkoutPaceSample> it = qbPace.build().listIterator()) {
HashMap<Byte, Integer> typeCount = new HashMap<>();
HashMap<Byte, Integer> typePace = new HashMap<>();
while (it.hasNext()) {
int index = it.nextIndex();
HuaweiWorkoutPaceSample sample = it.next();
int count = 1;
int pace = sample.getPace();
Integer previousCount = typeCount.get(sample.getType());
Integer previousPace = typePace.get(sample.getType());
if (previousCount != null)
count += previousCount;
if (previousPace != null)
pace += previousPace;
typeCount.put(sample.getType(), count);
typePace.put(sample.getType(), pace);
JSONObject paceDistance = new JSONObject();
paceDistance.put("value", sample.getDistance());
paceDistance.put("unit", ActivitySummaryEntries.UNIT_KILOMETERS);
paceDistance.put("group", ActivitySummaryEntries.GROUP_PACE);
jsonObject.put(String.format(GBApplication.getLanguage(), GBApplication.getContext().getString(R.string.fmtPaceDistance), index), paceDistance);
JSONObject paceType = new JSONObject();
paceType.put("value", sample.getType());
paceType.put("unit", ""); // TODO: find out types
paceType.put("group", ActivitySummaryEntries.GROUP_PACE);
jsonObject.put(String.format(GBApplication.getLanguage(), GBApplication.getContext().getString(R.string.fmtPaceType), index), paceType);
JSONObject pacePace = new JSONObject();
pacePace.put("value", sample.getPace());
pacePace.put("unit", ActivitySummaryEntries.UNIT_SECONDS_PER_KM);
pacePace.put("group", ActivitySummaryEntries.GROUP_PACE);
jsonObject.put(String.format(GBApplication.getLanguage(), GBApplication.getContext().getString(R.string.fmtPacePace), index), pacePace);
if (sample.getCorrection() != 0) {
JSONObject paceCorrection = new JSONObject();
paceCorrection.put("value", sample.getCorrection() / 10);
paceCorrection.put("unit", ActivitySummaryEntries.UNIT_METERS);
paceCorrection.put("group", ActivitySummaryEntries.GROUP_PACE);
jsonObject.put(String.format(GBApplication.getLanguage(), GBApplication.getContext().getString(R.string.fmtPaceCorrection), index), paceCorrection);
}
}
for (Byte key : typeCount.keySet()) {
Integer count = typeCount.get(key);
Integer pace = typePace.get(key);
if (count == null || pace == null)
continue;
JSONObject avgPace = new JSONObject();
avgPace.put("value", pace / count);
avgPace.put("unit", ActivitySummaryEntries.UNIT_SECONDS_PER_KM);
avgPace.put("group", ActivitySummaryEntries.GROUP_PACE);
jsonObject.put(String.format(GBApplication.getContext().getString(R.string.fmtPaceTypeAverage), key), avgPace);
}
}
if (unknownData) {
JSONObject unknownDataJson = new JSONObject();
unknownDataJson.put("value", GBApplication.getContext().getString(R.string.yes).toUpperCase());
unknownDataJson.put("unit", "string");
jsonObject.put(GBApplication.getContext().getString(R.string.unknownDataEncountered), unknownDataJson);
}
BaseActivitySummary baseSummary;
if (previous == null) {
baseSummary = new BaseActivitySummary(
null,
"Workout " + summary.getWorkoutNumber(),
start,
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);
}
}
}