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1535 lines (1371 loc) · 67.6 KB
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#include "qfit.h"
#include <QSettings>
#include <cmath>
#include <cstdlib>
#include <fstream>
#include <ostream>
#include <QDir>
#include "fit_date_time.hpp"
#include "fit_encode.hpp"
#include "fit_hrv_mesg.hpp"
#include "fit_decode.hpp"
#include "fit_developer_field_description.hpp"
#include "fit_field_description_mesg.hpp"
#include "fit_developer_field.hpp"
#include "fit_mesg_broadcaster.hpp"
#include "fit_timestamp_correlation_mesg.hpp"
#include "fit_zones_target_mesg.hpp"
#ifdef _WIN32
#include <io.h>
#include <fcntl.h>
#include <windows.h>
#endif
using namespace std;
qfit::qfit(QObject *parent) : QObject(parent) {}
void qfit::save(const QString &filename, QList<SessionLine> session, BLUETOOTH_TYPE type,
uint32_t processFlag, FIT_SPORT overrideSport, QString workoutName, QString bluetooth_device_name,
QString workoutSource, QString pelotonWorkoutId, QString pelotonUrl, QString trainingProgramFile,
int workoutRpe, int workoutFeel) {
QSettings settings;
bool strava_virtual_activity =
settings.value(QZSettings::strava_virtual_activity, QZSettings::default_strava_virtual_activity).toBool();
bool strava_treadmill =
settings.value(QZSettings::strava_treadmill, QZSettings::default_strava_treadmill).toBool();
bool treadmill_force_running_activity =
settings
.value(QZSettings::treadmill_force_running_activity,
QZSettings::default_treadmill_force_running_activity)
.toBool();
bool powr_sensor_running_cadence_half_on_strava =
settings
.value(QZSettings::powr_sensor_running_cadence_half_on_strava,
QZSettings::default_powr_sensor_running_cadence_half_on_strava)
.toBool();
std::list<fit::RecordMesg> records;
fit::Encode encode(fit::ProtocolVersion::V20);
if (session.isEmpty()) {
return;
}
std::fstream file;
uint32_t firstRealIndex = 0;
for (int i = 0; i < session.length(); i++) {
if ((session.at(i).speed > 0 && (type == TREADMILL || type == ELLIPTICAL)) ||
(session.at(i).cadence > 0 && (type == BIKE || type == ROWING))) {
firstRealIndex = i;
break;
}
}
double startingDistanceOffset = 0.0;
if (!session.isEmpty()) {
startingDistanceOffset = session.at(firstRealIndex).distance;
}
#ifdef _WIN32
file.open(QString(filename).toLocal8Bit().constData(), std::ios::in | std::ios::out | std::ios::binary | std::ios::trunc);
#else
file.open(filename.toStdString(), std::ios::in | std::ios::out | std::ios::binary | std::ios::trunc);
#endif
if (!file.is_open()) {
qDebug() << "Error opening file stream";
return;
}
bool fit_file_garmin_device_training_effect = settings.value(QZSettings::fit_file_garmin_device_training_effect, QZSettings::default_fit_file_garmin_device_training_effect).toBool();
int fit_file_garmin_device_training_effect_device = settings.value(QZSettings::fit_file_garmin_device_training_effect_device, QZSettings::default_fit_file_garmin_device_training_effect_device).toInt();
uint32_t garmin_device_serial = settings.value(QZSettings::garmin_device_serial, QZSettings::default_garmin_device_serial).toUInt();
bool is_zwift_device = (fit_file_garmin_device_training_effect_device == 99999);
bool is_tacx_device = (fit_file_garmin_device_training_effect_device == 88888);
fit::FileIdMesg fileIdMesg; // Every FIT file requires a File ID message
fileIdMesg.SetType(FIT_FILE_ACTIVITY);
if(bluetooth_device_name.toUpper().startsWith("DOMYOS") && !is_zwift_device && !is_tacx_device && !fit_file_garmin_device_training_effect)
fileIdMesg.SetManufacturer(FIT_MANUFACTURER_DECATHLON);
else {
if(is_zwift_device)
fileIdMesg.SetManufacturer(FIT_MANUFACTURER_ZWIFT);
else if(is_tacx_device)
fileIdMesg.SetManufacturer(FIT_MANUFACTURER_TACX);
else if(fit_file_garmin_device_training_effect)
fileIdMesg.SetManufacturer(FIT_MANUFACTURER_GARMIN);
else
fileIdMesg.SetManufacturer(FIT_MANUFACTURER_DEVELOPMENT);
}
if(fit_file_garmin_device_training_effect || is_zwift_device || is_tacx_device) {
if(is_zwift_device)
fileIdMesg.SetProduct(3288);
else if(is_tacx_device)
fileIdMesg.SetProduct(20533);
else
fileIdMesg.SetProduct(fit_file_garmin_device_training_effect_device);
fileIdMesg.SetSerialNumber(garmin_device_serial);
} else {
fileIdMesg.SetProduct(1);
fileIdMesg.SetSerialNumber(12345);
}
fileIdMesg.SetTimeCreated(session.at(firstRealIndex).time.toSecsSinceEpoch() - 631065600L);
// Compute user physiology once — shared by userMesg, zones_target, and training effect.
bool user_max_hr_override = settings.value(QZSettings::heart_max_override_enable,
QZSettings::default_heart_max_override_enable).toBool();
uint8_t user_max_hr = user_max_hr_override
? (uint8_t)settings.value(QZSettings::heart_max_override_value,
QZSettings::default_heart_max_override_value).toUInt()
: (uint8_t)(220 - settings.value(QZSettings::age, QZSettings::default_age).toUInt());
uint8_t user_resting_hr = settings.value(QZSettings::heart_rate_resting,
QZSettings::default_heart_rate_resting).toUInt();
fit::UserProfileMesg userMesg;
userMesg.SetWeight(settings.value(QZSettings::weight, QZSettings::default_weight).toFloat());
userMesg.SetAge(settings.value(QZSettings::age, QZSettings::default_age).toUInt());
userMesg.SetGender(settings.value(QZSettings::sex, QZSettings::default_sex).toString().startsWith(QZSettings::default_sex) ? FIT_GENDER_MALE
: FIT_GENDER_FEMALE);
userMesg.SetFriendlyName(
settings.value(QZSettings::user_nickname, QZSettings::default_user_nickname).toString().toStdWString());
userMesg.SetHeight(settings.value(QZSettings::height, QZSettings::default_height).toFloat() / 100.0f);
userMesg.SetDefaultMaxHeartRate(user_max_hr);
userMesg.SetRestingHeartRate(user_resting_hr);
fit::FileCreatorMesg fileCreatorMesg;
if(fit_file_garmin_device_training_effect) {
fileCreatorMesg.SetSoftwareVersion(975);
fileCreatorMesg.SetHardwareVersion(255);
} else {
fileCreatorMesg.SetSoftwareVersion(2119);
}
fit::DeviceInfoMesg deviceInfoMesg;
deviceInfoMesg.SetDeviceIndex(FIT_DEVICE_INDEX_CREATOR);
if(is_zwift_device) {
deviceInfoMesg.SetManufacturer(FIT_MANUFACTURER_ZWIFT);
deviceInfoMesg.SetSerialNumber(garmin_device_serial);
deviceInfoMesg.SetProduct(3288);
deviceInfoMesg.SetSoftwareVersion(21.19);
} else if(is_tacx_device) {
deviceInfoMesg.SetManufacturer(FIT_MANUFACTURER_TACX);
deviceInfoMesg.SetSerialNumber(garmin_device_serial);
deviceInfoMesg.SetProduct(20533);
deviceInfoMesg.SetSoftwareVersion(1.30);
} else if(fit_file_garmin_device_training_effect) {
deviceInfoMesg.SetManufacturer(FIT_MANUFACTURER_GARMIN);
deviceInfoMesg.SetSerialNumber(garmin_device_serial);
deviceInfoMesg.SetProduct(fit_file_garmin_device_training_effect_device);
deviceInfoMesg.SetGarminProduct(fit_file_garmin_device_training_effect_device);
deviceInfoMesg.SetSoftwareVersion(21.19);
} else {
deviceInfoMesg.SetManufacturer(FIT_MANUFACTURER_DEVELOPMENT);
deviceInfoMesg.SetSerialNumber(12345);
deviceInfoMesg.SetProduct(1);
deviceInfoMesg.SetSoftwareVersion(21.19);
}
deviceInfoMesg.SetSourceType(FIT_SOURCE_TYPE_LOCAL);
bool gps_data = false;
double max_alt = 0;
double min_alt = 99999;
double speed_acc = 0;
int speed_count = 0;
int lap_index = 0;
double speed_avg = 0;
// Variables for training load calculation
double hr_sum = 0;
int hr_count = 0;
uint8_t min_hr = 255;
uint8_t max_hr = 0;
double watt_sum = 0;
int watt_count = 0;
// Cadence, power, and speed summaries (all device types)
double cadence_sum = 0;
int cadence_count = 0;
uint8_t max_cadence = 0;
uint16_t max_watt = 0;
uint32_t total_work_joules = 0;
double max_speed_ms = 0;
std::vector<double> np_power_samples;
// Variables for core temperature summaries used by Garmin Connect.
double core_temp_sum = 0;
double core_temp_min = 0;
double core_temp_max = 0;
int core_temp_count = 0;
for (int i = firstRealIndex; i < session.length(); i++) {
if (session.at(i).coordinate.isValid()) {
gps_data = true;
break;
}
}
for (int i = firstRealIndex; i < session.length(); i++) {
if (gps_data) {
if (session.at(i).coordinate.isValid()) {
if (min_alt > session.at(i).coordinate.altitude())
min_alt = session.at(i).coordinate.altitude();
if (max_alt < session.at(i).coordinate.altitude())
max_alt = session.at(i).coordinate.altitude();
}
} else {
min_alt = 0;
if (max_alt < session.at(i).elevationGain)
max_alt = session.at(i).elevationGain;
}
if (session.at(i).speed > 0) {
speed_count++;
speed_acc += session.at(i).speed;
}
// Collect heart rate data for training load
if (session.at(i).heart > 0) {
hr_sum += session.at(i).heart;
hr_count++;
if (session.at(i).heart < min_hr) {
min_hr = session.at(i).heart;
}
if (session.at(i).heart > max_hr) {
max_hr = session.at(i).heart;
}
}
// Collect power data for TSS / NP / session stats
if (session.at(i).watt > 0) {
watt_sum += session.at(i).watt;
watt_count++;
if ((uint16_t)session.at(i).watt > max_watt)
max_watt = (uint16_t)session.at(i).watt;
total_work_joules += (uint32_t)session.at(i).watt;
}
np_power_samples.push_back(session.at(i).watt > 0 ? session.at(i).watt : 0.0);
// Collect cadence data (all device types)
if (session.at(i).cadence > 0) {
cadence_sum += session.at(i).cadence;
cadence_count++;
if (session.at(i).cadence > max_cadence)
max_cadence = session.at(i).cadence;
}
// Max speed (m/s — session.speed is in km/h)
double speed_ms = session.at(i).speed / 3.6;
if (speed_ms > max_speed_ms)
max_speed_ms = speed_ms;
if (session.at(i).coreTemp > 0) {
double coreTemp = session.at(i).coreTemp;
core_temp_sum += coreTemp;
if (core_temp_count == 0 || coreTemp < core_temp_min) {
core_temp_min = coreTemp;
}
if (core_temp_count == 0 || coreTemp > core_temp_max) {
core_temp_max = coreTemp;
}
core_temp_count++;
}
}
if (speed_count > 0) {
speed_avg = speed_acc / ((double)speed_count);
qDebug() << "average speed from the fit file" << speed_avg;
}
// Calculate training load: TSS for cycling with power, TRIMP otherwise
float training_load = 0.0f;
float tss = 0.0f; // Training Stress Score (for cycling with power)
uint32_t duration_seconds = session.last().elapsedTime;
bool has_tss = false;
// For cycling with power data, calculate TSS (Training Stress Score)
if (type == BIKE && watt_count > 0) {
double avg_watt = watt_sum / watt_count;
float ftp = settings.value(QZSettings::ftp, QZSettings::default_ftp).toFloat();
if (ftp > 0 && avg_watt > 0) {
// TSS formula: (duration_seconds × average_power × IF) / (FTP × 36)
// where IF (Intensity Factor) = average_power / FTP
double intensity_factor = avg_watt / ftp;
tss = (duration_seconds * avg_watt * intensity_factor) / (ftp * 36.0);
training_load = tss; // Use TSS as training load in the worst scenario
has_tss = true;
qDebug() << "Training Load (TSS) calculated:" << tss
<< "Duration:" << (duration_seconds / 60) << "min"
<< "Avg Power:" << avg_watt << "W"
<< "FTP:" << ftp << "W"
<< "IF:" << intensity_factor;
}
}
// Always calculate TRIMP if we have HR data (fallback or additional metric)
if (hr_count > 0) {
double avg_hr = hr_sum / hr_count;
uint32_t duration_minutes = duration_seconds / 60;
// Bannister's TRIMP formula: D * HR_ratio * exp(b * HR_ratio)
// where HR_ratio = (avg_hr - resting_hr) / (max_hr - resting_hr)
//
// COEFFICIENT SELECTION:
// Standard Bannister formula uses b = 1.92 (men) and b = 1.67 (women)
// However, Garmin devices (Fenix, etc.) appear to use b ≈ 1.67 for all users
// to match Garmin's training load calculations more closely.
// We use b = 1.67 for everyone to ensure compatibility with Garmin Connect's
// acute training load and training status features.
double hr_ratio = 0;
if (user_max_hr > user_resting_hr) {
hr_ratio = (avg_hr - user_resting_hr) / (double)(user_max_hr - user_resting_hr);
}
// Use coefficient 1.67 (matches Garmin implementation)
double b = 1.67;
// Calculate TRIMP
if (hr_ratio > 0 && hr_ratio < 2.0) { // Sanity check
training_load = duration_minutes * hr_ratio * std::exp(b * hr_ratio);
qDebug() << "Training Load (TRIMP) calculated:" << training_load
<< "Duration:" << duration_minutes << "min"
<< "Avg HR:" << avg_hr
<< "Max HR:" << user_max_hr << (user_max_hr_override ? "(override)" : "(calculated)")
<< "Resting HR:" << user_resting_hr;
}
}
// Normalized Power: 30-second rolling average → 4th-power mean → 4th root
uint16_t normalized_power = 0;
if (np_power_samples.size() >= 30) {
std::vector<double> rolling30;
rolling30.reserve(np_power_samples.size());
for (size_t idx = 0; idx < np_power_samples.size(); idx++) {
double sum = 0;
size_t start = idx >= 29 ? idx - 29 : 0;
for (size_t j = start; j <= idx; j++)
sum += np_power_samples[j];
rolling30.push_back(sum / (idx - start + 1));
}
double sum4 = 0;
for (double v : rolling30)
sum4 += std::pow(v, 4.0);
normalized_power = (uint16_t)std::pow(sum4 / rolling30.size(), 0.25);
}
// Training Effect (aerobic + anaerobic) from HR zones and power
float aerobic_te = 0.0f;
float anaerobic_te = 0.0f;
if (hr_count > 0 && user_max_hr > user_resting_hr) {
float zone1_pct = settings.value(QZSettings::heart_rate_zone1, QZSettings::default_heart_rate_zone1).toFloat();
float zone2_pct = settings.value(QZSettings::heart_rate_zone2, QZSettings::default_heart_rate_zone2).toFloat();
float zone3_pct = settings.value(QZSettings::heart_rate_zone3, QZSettings::default_heart_rate_zone3).toFloat();
float zone4_pct = settings.value(QZSettings::heart_rate_zone4, QZSettings::default_heart_rate_zone4).toFloat();
double z1 = zone1_pct / 100.0 * user_max_hr;
double z2 = zone2_pct / 100.0 * user_max_hr;
double z3 = zone3_pct / 100.0 * user_max_hr;
double z4 = zone4_pct / 100.0 * user_max_hr;
double time_in_zone[5] = {0, 0, 0, 0, 0};
for (int i = firstRealIndex; i < session.length(); i++) {
double hr = session.at(i).heart;
if (hr <= 0) continue;
if (hr < z1) time_in_zone[0] += 1.0;
else if (hr < z2) time_in_zone[1] += 1.0;
else if (hr < z3) time_in_zone[2] += 1.0;
else if (hr < z4) time_in_zone[3] += 1.0;
else time_in_zone[4] += 1.0;
}
// Aerobic TE: weighted zone time / duration, scaled to 0-5 Garmin range
const double zone_weights[5] = {0.2, 0.5, 1.0, 1.5, 2.0};
double weighted = 0;
for (int z = 0; z < 5; z++)
weighted += (time_in_zone[z] / 60.0) * zone_weights[z];
double dur_min = duration_seconds / 60.0;
if (dur_min > 0) {
aerobic_te = std::min(5.0f, (float)((weighted / dur_min) * 2.0));
qDebug() << "Aerobic TE:" << aerobic_te
<< "Z1-Z5 min:" << time_in_zone[0]/60 << time_in_zone[1]/60
<< time_in_zone[2]/60 << time_in_zone[3]/60 << time_in_zone[4]/60;
}
// Anaerobic TE: from power if available, else from time in Z4+Z5
if (watt_count > 0) {
float ftp = settings.value(QZSettings::ftp, QZSettings::default_ftp).toFloat();
if (ftp > 0) {
double threshold_w = ftp * 1.05;
double time_above = 0, intensity_above = 0;
for (int i = firstRealIndex; i < session.length(); i++) {
if (session.at(i).watt > threshold_w) {
time_above += 1.0;
intensity_above += session.at(i).watt / threshold_w;
}
}
if (time_above > 0 && dur_min > 0) {
double pct = (time_above / duration_seconds) * 100.0;
anaerobic_te = std::min(5.0f, (float)((pct / 20.0) * (intensity_above / time_above)));
}
}
} else {
double high_intensity = time_in_zone[3] + time_in_zone[4];
if (high_intensity > 0 && dur_min > 0) {
double pct = (high_intensity / duration_seconds) * 100.0;
anaerobic_te = std::min(5.0f, (float)((pct / 25.0) * 2.0));
if (time_in_zone[4] > time_in_zone[3])
anaerobic_te = std::min(5.0f, anaerobic_te * 1.3f);
}
}
qDebug() << "Anaerobic TE:" << anaerobic_te;
}
encode.Open(file);
encode.Write(fileIdMesg);
encode.Write(userMesg);
// zones_target: gives Garmin Connect the user's FTP and HR zones for load calculations
{
fit::ZonesTargetMesg zonesTargetMesg;
zonesTargetMesg.SetMaxHeartRate(user_max_hr);
float zone3_pct = settings.value(QZSettings::heart_rate_zone3, QZSettings::default_heart_rate_zone3).toFloat();
zonesTargetMesg.SetThresholdHeartRate((uint8_t)(zone3_pct / 100.0f * user_max_hr));
uint16_t ftp = (uint16_t)settings.value(QZSettings::ftp, QZSettings::default_ftp).toFloat();
if (ftp > 0)
zonesTargetMesg.SetFunctionalThresholdPower(ftp);
zonesTargetMesg.SetHrCalcType(FIT_HR_ZONE_CALC_PERCENT_MAX_HR);
zonesTargetMesg.SetPwrCalcType(FIT_PWR_ZONE_CALC_PERCENT_FTP);
encode.Write(zonesTargetMesg);
}
// Declare developer field descriptions (but don't write them yet)
fit::FieldDescriptionMesg activityTitle;
activityTitle.SetDeveloperDataIndex(0);
activityTitle.SetFieldDefinitionNumber(0);
activityTitle.SetFitBaseTypeId(FIT_BASE_TYPE_STRING);
activityTitle.SetFieldName(0, L"Activity Title");
activityTitle.SetUnits(0, L"Title");
activityTitle.SetNativeMesgNum(FIT_MESG_NUM_WORKOUT); // Workout message for developer metadata
fit::FieldDescriptionMesg targetCadenceMesg;
targetCadenceMesg.SetDeveloperDataIndex(0);
targetCadenceMesg.SetFieldDefinitionNumber(1);
targetCadenceMesg.SetFitBaseTypeId(FIT_BASE_TYPE_FLOAT64);
targetCadenceMesg.SetFieldName(0, L"Target Cadence");
targetCadenceMesg.SetUnits(0, L"rpm");
targetCadenceMesg.SetNativeMesgNum(FIT_MESG_NUM_RECORD);
fit::FieldDescriptionMesg targetWattMesg;
targetWattMesg.SetDeveloperDataIndex(0);
targetWattMesg.SetFieldDefinitionNumber(2);
targetWattMesg.SetFitBaseTypeId(FIT_BASE_TYPE_FLOAT64);
targetWattMesg.SetFieldName(0, L"Target Watt");
targetWattMesg.SetUnits(0, L"watts");
targetWattMesg.SetNativeMesgNum(FIT_MESG_NUM_RECORD);
fit::FieldDescriptionMesg targetResistanceMesg;
targetResistanceMesg.SetDeveloperDataIndex(0);
targetResistanceMesg.SetFieldDefinitionNumber(3);
targetResistanceMesg.SetFitBaseTypeId(FIT_BASE_TYPE_FLOAT64);
targetResistanceMesg.SetFieldName(0, L"Target Resistance");
targetResistanceMesg.SetUnits(0, L"resistance");
targetResistanceMesg.SetNativeMesgNum(FIT_MESG_NUM_RECORD);
fit::FieldDescriptionMesg ftpSessionMesg;
ftpSessionMesg.SetDeveloperDataIndex(0);
ftpSessionMesg.SetFieldDefinitionNumber(4);
ftpSessionMesg.SetFitBaseTypeId(FIT_BASE_TYPE_FLOAT64);
ftpSessionMesg.SetFieldName(0, L"FTP");
ftpSessionMesg.SetUnits(0, L"FTP");
ftpSessionMesg.SetNativeMesgNum(FIT_MESG_NUM_WORKOUT); // Workout message for developer metadata
// Peloton and workout source fields
fit::FieldDescriptionMesg workoutSourceMesg;
workoutSourceMesg.SetDeveloperDataIndex(0);
workoutSourceMesg.SetFieldDefinitionNumber(8);
workoutSourceMesg.SetFitBaseTypeId(FIT_BASE_TYPE_STRING);
workoutSourceMesg.SetFieldName(0, L"Workout Source");
workoutSourceMesg.SetUnits(0, L"source");
workoutSourceMesg.SetNativeMesgNum(FIT_MESG_NUM_WORKOUT); // Workout message for developer metadata
fit::FieldDescriptionMesg pelotonWorkoutIdMesg;
pelotonWorkoutIdMesg.SetDeveloperDataIndex(0);
pelotonWorkoutIdMesg.SetFieldDefinitionNumber(9);
pelotonWorkoutIdMesg.SetFitBaseTypeId(FIT_BASE_TYPE_STRING);
pelotonWorkoutIdMesg.SetFieldName(0, L"Peloton Workout ID");
pelotonWorkoutIdMesg.SetUnits(0, L"id");
pelotonWorkoutIdMesg.SetNativeMesgNum(FIT_MESG_NUM_WORKOUT); // Workout message for developer metadata
fit::FieldDescriptionMesg pelotonUrlMesg;
pelotonUrlMesg.SetDeveloperDataIndex(0);
pelotonUrlMesg.SetFieldDefinitionNumber(10);
pelotonUrlMesg.SetFitBaseTypeId(FIT_BASE_TYPE_STRING);
pelotonUrlMesg.SetFieldName(0, L"Peloton URL");
pelotonUrlMesg.SetUnits(0, L"url");
pelotonUrlMesg.SetNativeMesgNum(FIT_MESG_NUM_WORKOUT); // Workout message for developer metadata
fit::FieldDescriptionMesg trainingProgramFileMesg;
trainingProgramFileMesg.SetDeveloperDataIndex(0);
trainingProgramFileMesg.SetFieldDefinitionNumber(11);
trainingProgramFileMesg.SetFitBaseTypeId(FIT_BASE_TYPE_STRING);
trainingProgramFileMesg.SetFieldName(0, L"Training Program File");
trainingProgramFileMesg.SetUnits(0, L"filename");
trainingProgramFileMesg.SetNativeMesgNum(FIT_MESG_NUM_WORKOUT); // Workout message for developer metadata
fit::SessionMesg sessionMesg;
sessionMesg.SetTimestamp(session.at(firstRealIndex).time.toSecsSinceEpoch() - 631065600L);
sessionMesg.SetStartTime(session.at(firstRealIndex).time.toSecsSinceEpoch() - 631065600L);
sessionMesg.SetTotalElapsedTime(session.last().elapsedTime);
sessionMesg.SetTotalTimerTime(session.last().elapsedTime);
sessionMesg.SetTotalDistance((session.last().distance - startingDistanceOffset) * 1000.0); // meters
sessionMesg.SetTotalCalories(session.last().calories);
sessionMesg.SetTotalMovingTime(session.last().elapsedTime);
sessionMesg.SetTotalAscent(session.last().elevationGain); // Total elevation gain (meters)
sessionMesg.SetTotalDescent(session.last().negativeElevationGain); // Total elevation loss/descent (meters)
if (speed_avg > 0) {
sessionMesg.SetAvgSpeed(speed_avg / 3.6); // Convert from km/h to m/s
}
sessionMesg.SetMinAltitude(min_alt);
sessionMesg.SetMaxAltitude(max_alt);
sessionMesg.SetEvent(FIT_EVENT_SESSION);
sessionMesg.SetEventType(FIT_EVENT_TYPE_STOP);
sessionMesg.SetFirstLapIndex(0);
sessionMesg.SetTrigger(FIT_SESSION_TRIGGER_ACTIVITY_END);
sessionMesg.SetMessageIndex(FIT_MESSAGE_INDEX_RESERVED);
// Perceived exertion (Borg CR10, 0-10 scale multiplied 10x) and how the user felt (0-100 scale)
if (workoutRpe >= 0)
sessionMesg.SetWorkoutRpe(static_cast<FIT_UINT8>(workoutRpe * 10));
if (workoutFeel >= 0)
sessionMesg.SetWorkoutFeel(static_cast<FIT_UINT8>(workoutFeel));
// Set training load in FIT file
// Always set training_load_peak (Garmin uses this for acute training load)
// COMMENTED OUT: Garmin Connect doesn't properly reflect these values
// Moving to developer data message instead
if (training_load > 0) {
//sessionMesg.SetTrainingLoadPeak(training_load);
qDebug() << "Training load will be stored in developer data:" << training_load;
}
// For cycling with power, also set training_stress_score (TSS)
// COMMENTED OUT: Moving to developer data message
if (has_tss) {
//sessionMesg.SetTrainingStressScore(tss);
qDebug() << "TSS will be stored in developer data:" << tss;
}
const FIT_SPORT treadmill_activity_sport =
(speed_avg == 0 || speed_avg > 6.5 || strava_virtual_activity || treadmill_force_running_activity)
? FIT_SPORT_RUNNING
: FIT_SPORT_WALKING;
// First, set sport and subsport based on device type
if (type == TREADMILL) {
if(session.last().stepCount > 0)
sessionMesg.SetTotalStrides(session.last().stepCount);
sessionMesg.SetSport(treadmill_activity_sport);
if (strava_virtual_activity) {
sessionMesg.SetSubSport(FIT_SUB_SPORT_VIRTUAL_ACTIVITY);
} else {
if(strava_treadmill)
sessionMesg.SetSubSport(FIT_SUB_SPORT_TREADMILL);
}
} else if (type == ELLIPTICAL) {
if (strava_virtual_activity) {
if (speed_avg == 0 || speed_avg > 6.5)
sessionMesg.SetSport(FIT_SPORT_RUNNING);
else
sessionMesg.SetSport(FIT_SPORT_WALKING);
sessionMesg.SetSubSport(FIT_SUB_SPORT_VIRTUAL_ACTIVITY);
} else {
sessionMesg.SetSport(FIT_SPORT_FITNESS_EQUIPMENT);
sessionMesg.SetSubSport(FIT_SUB_SPORT_ELLIPTICAL);
}
} else if (type == ROWING) {
sessionMesg.SetSport(FIT_SPORT_ROWING);
sessionMesg.SetSubSport(FIT_SUB_SPORT_INDOOR_ROWING);
if (session.last().totalStrokes)
sessionMesg.SetTotalStrokes(session.last().totalStrokes);
if (session.last().avgStrokesRate)
sessionMesg.SetAvgStrokeCount(session.last().avgStrokesRate);
if (session.last().maxStrokesRate)
sessionMesg.SetMaxCadence(session.last().maxStrokesRate);
if (session.last().avgStrokesLength)
sessionMesg.SetAvgStrokeDistance(session.last().avgStrokesLength);
} else if (type == STAIRCLIMBER) {
sessionMesg.SetSport(FIT_SPORT_FITNESS_EQUIPMENT);
sessionMesg.SetSubSport(FIT_SUB_SPORT_STAIR_CLIMBING);
} else if (type == JUMPROPE) {
sessionMesg.SetSport(FIT_SPORT_JUMP_ROPE);
sessionMesg.SetSubSport(FIT_SUB_SPORT_GENERIC);
if (session.last().stepCount)
sessionMesg.SetJumpCount(session.last().stepCount);
// Total cycles
if (session.last().stepCount)
sessionMesg.SetTotalCycles(session.last().stepCount);
// Avg cadence (jump rate)
if (cadence_count > 0)
sessionMesg.SetAvgCadence((uint8_t)(cadence_sum / cadence_count));
// Max cadence (max jump rate)
if (max_cadence > 0)
sessionMesg.SetMaxCadence(max_cadence);
} else {
sessionMesg.SetSport(FIT_SPORT_CYCLING);
if (strava_virtual_activity) {
sessionMesg.SetSubSport(FIT_SUB_SPORT_VIRTUAL_ACTIVITY);
} else {
sessionMesg.SetSubSport(FIT_SUB_SPORT_INDOOR_CYCLING);
}
}
// Then, override the sport if requested (keeping the subsport from above)
if (overrideSport != FIT_SPORT_INVALID) {
sessionMesg.SetSport(overrideSport);
qDebug() << "overriding FIT sport to" << overrideSport << "keeping subsport from device type";
}
// Session statistics derived from record data
if (hr_count > 0) {
sessionMesg.SetAvgHeartRate((uint8_t)(hr_sum / hr_count));
sessionMesg.SetMaxHeartRate(max_hr);
sessionMesg.SetMinHeartRate(min_hr);
}
if (cadence_count > 0 && type != ROWING) {
sessionMesg.SetAvgCadence((uint8_t)(cadence_sum / cadence_count));
sessionMesg.SetMaxCadence(max_cadence);
}
if (watt_count > 0) {
sessionMesg.SetAvgPower((uint16_t)(watt_sum / watt_count));
sessionMesg.SetMaxPower(max_watt);
if (normalized_power > 0)
sessionMesg.SetNormalizedPower(normalized_power);
if (total_work_joules > 0)
sessionMesg.SetTotalWork(total_work_joules);
}
if (max_speed_ms > 0) {
sessionMesg.SetEnhancedMaxSpeed((float)max_speed_ms);
}
if (aerobic_te > 0) {
sessionMesg.SetTotalTrainingEffect(aerobic_te);
sessionMesg.SetTotalAnaerobicTrainingEffect(anaerobic_te);
}
fit::DeveloperDataIdMesg devIdMesg;
// QZ companion app
// 3746ce54-a9e9-42b0-9be9-b867f8d20f7d
// Core App
// 6957fe68-83fe-4ed6-8613-413f70624bb5
devIdMesg.SetApplicationId(0, 0x37);
devIdMesg.SetApplicationId(1, 0x46);
devIdMesg.SetApplicationId(2, 0xce);
devIdMesg.SetApplicationId(3, 0x54);
devIdMesg.SetApplicationId(4, 0xa9);
devIdMesg.SetApplicationId(5, 0xe9);
devIdMesg.SetApplicationId(6, 0x42);
devIdMesg.SetApplicationId(7, 0xb0);
devIdMesg.SetApplicationId(8, 0x9b);
devIdMesg.SetApplicationId(9, 0xe9);
devIdMesg.SetApplicationId(10, 0xb8);
devIdMesg.SetApplicationId(11, 0x67);
devIdMesg.SetApplicationId(12, 0xf8);
devIdMesg.SetApplicationId(13, 0xd2);
devIdMesg.SetApplicationId(14, 0x0f);
devIdMesg.SetApplicationId(15, 0x7d);
devIdMesg.SetDeveloperDataIndex(0);
devIdMesg.SetApplicationVersion(70);
fit::DeveloperDataIdMesg coreDevIdMesg;
// CORE app: 6957fe68-83fe-4ed6-8613-413f70624bb5
coreDevIdMesg.SetApplicationId(0, 0x69);
coreDevIdMesg.SetApplicationId(1, 0x57);
coreDevIdMesg.SetApplicationId(2, 0xfe);
coreDevIdMesg.SetApplicationId(3, 0x68);
coreDevIdMesg.SetApplicationId(4, 0x83);
coreDevIdMesg.SetApplicationId(5, 0xfe);
coreDevIdMesg.SetApplicationId(6, 0x4e);
coreDevIdMesg.SetApplicationId(7, 0xd6);
coreDevIdMesg.SetApplicationId(8, 0x86);
coreDevIdMesg.SetApplicationId(9, 0x13);
coreDevIdMesg.SetApplicationId(10, 0x41);
coreDevIdMesg.SetApplicationId(11, 0x3f);
coreDevIdMesg.SetApplicationId(12, 0x70);
coreDevIdMesg.SetApplicationId(13, 0x62);
coreDevIdMesg.SetApplicationId(14, 0x4b);
coreDevIdMesg.SetApplicationId(15, 0xb5);
coreDevIdMesg.SetDeveloperDataIndex(1);
coreDevIdMesg.SetApplicationVersion(78);
auto makeCoreFieldDescription = [](FIT_UINT8 fieldNumber,
FIT_UINT8 baseType,
const wchar_t *fieldName,
const wchar_t *units,
FIT_MESG_NUM nativeMesgNum,
FIT_UINT8 nativeFieldNum) {
fit::FieldDescriptionMesg desc;
desc.SetDeveloperDataIndex(1);
desc.SetFieldDefinitionNumber(fieldNumber);
desc.SetFitBaseTypeId(baseType);
desc.SetFieldName(0, fieldName);
desc.SetUnits(0, units);
desc.SetNativeMesgNum(nativeMesgNum);
desc.SetNativeFieldNum(nativeFieldNum);
return desc;
};
fit::FieldDescriptionMesg coreTemperatureFieldDesc =
makeCoreFieldDescription(0, FIT_BASE_TYPE_FLOAT32, L"core_temperature", L"°C", FIT_MESG_NUM_RECORD, 139);
fit::FieldDescriptionMesg coreSkinTemperatureFieldDesc =
makeCoreFieldDescription(10, FIT_BASE_TYPE_FLOAT32, L"skin_temperature", L"°C", FIT_MESG_NUM_RECORD, 255);
fit::FieldDescriptionMesg coreDataQualityFieldDesc =
makeCoreFieldDescription(19, FIT_BASE_TYPE_SINT16, L"core_data_quality", L"Q", FIT_MESG_NUM_RECORD, 255);
fit::FieldDescriptionMesg coreReservedFieldDesc =
makeCoreFieldDescription(20, FIT_BASE_TYPE_SINT16, L"core_reserved", L"kcal", FIT_MESG_NUM_RECORD, 255);
fit::FieldDescriptionMesg heatStrainIndexFieldDesc =
makeCoreFieldDescription(95, FIT_BASE_TYPE_FLOAT32, L"heat_strain_index", L"a.u.", FIT_MESG_NUM_RECORD, 255);
fit::FieldDescriptionMesg ciqCoreTemperatureFieldDesc =
makeCoreFieldDescription(81, FIT_BASE_TYPE_FLOAT32, L"CIQ_core_temperature", L"°", FIT_MESG_NUM_RECORD, 255);
fit::FieldDescriptionMesg ciqSkinTemperatureFieldDesc =
makeCoreFieldDescription(82, FIT_BASE_TYPE_FLOAT32, L"CIQ_skin_temperature", L"°", FIT_MESG_NUM_RECORD, 255);
fit::FieldDescriptionMesg lapAvgCoreTemperatureFieldDesc =
makeCoreFieldDescription(1, FIT_BASE_TYPE_FLOAT32, L"avg_core_temperature", L"°", FIT_MESG_NUM_LAP, 158);
fit::FieldDescriptionMesg lapMaxCoreTemperatureFieldDesc =
makeCoreFieldDescription(2, FIT_BASE_TYPE_FLOAT32, L"max_core_temperature", L"°", FIT_MESG_NUM_LAP, 160);
fit::FieldDescriptionMesg lapMinCoreTemperatureFieldDesc =
makeCoreFieldDescription(3, FIT_BASE_TYPE_FLOAT32, L"min_core_temperature", L"°", FIT_MESG_NUM_LAP, 159);
fit::FieldDescriptionMesg sessionAvgCoreTemperatureFieldDesc =
makeCoreFieldDescription(5, FIT_BASE_TYPE_FLOAT32, L"avg_core_temperature", L"°", FIT_MESG_NUM_SESSION, 208);
fit::FieldDescriptionMesg sessionMaxCoreTemperatureFieldDesc =
makeCoreFieldDescription(6, FIT_BASE_TYPE_FLOAT32, L"max_core_temperature", L"°", FIT_MESG_NUM_SESSION, 210);
fit::FieldDescriptionMesg sessionMinCoreTemperatureFieldDesc =
makeCoreFieldDescription(7, FIT_BASE_TYPE_FLOAT32, L"min_core_temperature", L"°", FIT_MESG_NUM_SESSION, 209);
fit::FieldDescriptionMesg ciqDeviceInfoFieldDesc =
makeCoreFieldDescription(26, FIT_BASE_TYPE_UINT8, L"CIQ_device_info", L"°", FIT_MESG_NUM_SESSION, 255);
fit::DeveloperField ftpSessionField(ftpSessionMesg, devIdMesg);
ftpSessionField.AddValue(settings.value(QZSettings::ftp, QZSettings::default_ftp).toDouble());
fit::DeveloperField activityTitleField(activityTitle, devIdMesg);
activityTitleField.SetSTRINGValue(workoutName.toStdWString());
// Create our new developer fields
fit::DeveloperField workoutSourceField(workoutSourceMesg, devIdMesg);
if (!workoutSource.isEmpty()) {
workoutSourceField.SetSTRINGValue(workoutSource.toStdWString());
} else {
workoutSourceField.SetSTRINGValue(L"QZ"); // Default to QZ if not specified
}
fit::DeveloperField pelotonWorkoutIdField(pelotonWorkoutIdMesg, devIdMesg);
if (!pelotonWorkoutId.isEmpty()) {
pelotonWorkoutIdField.SetSTRINGValue(pelotonWorkoutId.toStdWString());
}
fit::DeveloperField pelotonUrlField(pelotonUrlMesg, devIdMesg);
if (!pelotonUrl.isEmpty()) {
pelotonUrlField.SetSTRINGValue(pelotonUrl.toStdWString());
}
fit::DeveloperField trainingProgramFileField(trainingProgramFileMesg, devIdMesg);
if (!trainingProgramFile.isEmpty()) {
trainingProgramFileField.SetSTRINGValue(trainingProgramFile.toStdWString());
}
auto addCoreTemperatureSummaryFields = [&](fit::Mesg &mesg,
const fit::FieldDescriptionMesg &avgDesc,
const fit::FieldDescriptionMesg &minDesc,
const fit::FieldDescriptionMesg &maxDesc,
double avgCoreTemp,
double minCoreTemp,
double maxCoreTemp) {
fit::DeveloperField avgCoreTemperatureField(avgDesc, coreDevIdMesg);
avgCoreTemperatureField.SetFLOAT32Value((float)avgCoreTemp);
mesg.AddDeveloperField(avgCoreTemperatureField);
fit::DeveloperField minCoreTemperatureField(minDesc, coreDevIdMesg);
minCoreTemperatureField.SetFLOAT32Value((float)minCoreTemp);
mesg.AddDeveloperField(minCoreTemperatureField);
fit::DeveloperField maxCoreTemperatureField(maxDesc, coreDevIdMesg);
maxCoreTemperatureField.SetFLOAT32Value((float)maxCoreTemp);
mesg.AddDeveloperField(maxCoreTemperatureField);
};
if (core_temp_count > 0) {
addCoreTemperatureSummaryFields(sessionMesg,
sessionAvgCoreTemperatureFieldDesc,
sessionMinCoreTemperatureFieldDesc,
sessionMaxCoreTemperatureFieldDesc,
core_temp_sum / core_temp_count,
core_temp_min,
core_temp_max);
}
fit::ActivityMesg activityMesg;
activityMesg.SetTimestamp(session.at(firstRealIndex).time.toSecsSinceEpoch() - 631065600L);
activityMesg.SetTotalTimerTime(session.last().elapsedTime);
activityMesg.SetNumSessions(1);
activityMesg.SetType(FIT_ACTIVITY_MANUAL);
activityMesg.SetEvent(FIT_EVENT_WORKOUT);
activityMesg.SetEventType(FIT_EVENT_TYPE_START);
activityMesg.SetLocalTimestamp(fit::DateTime((time_t)session.last().time.toSecsSinceEpoch())
.GetTimeStamp()); // seconds since 00:00 Dec d31 1989 in local time zone
activityMesg.SetEvent(FIT_EVENT_ACTIVITY);
activityMesg.SetEventType(FIT_EVENT_TYPE_STOP);
fit::EventMesg eventMesg;
eventMesg.SetEvent(FIT_EVENT_TIMER);
eventMesg.SetEventType(FIT_EVENT_TYPE_START);
eventMesg.SetData(0);
eventMesg.SetEventGroup(0);
eventMesg.SetTimestamp(session.at(firstRealIndex).time.toSecsSinceEpoch() - 631065600L);
encode.Write(fileCreatorMesg);
encode.Write(devIdMesg);
encode.Write(coreDevIdMesg);
// Write developer field descriptions (declared earlier)
encode.Write(activityTitle);
encode.Write(targetCadenceMesg);
encode.Write(targetWattMesg);
encode.Write(targetResistanceMesg);
encode.Write(ftpSessionMesg);
encode.Write(workoutSourceMesg);
encode.Write(pelotonWorkoutIdMesg);
encode.Write(pelotonUrlMesg);
encode.Write(trainingProgramFileMesg);
encode.Write(coreTemperatureFieldDesc);
encode.Write(coreSkinTemperatureFieldDesc);
encode.Write(coreDataQualityFieldDesc);
encode.Write(coreReservedFieldDesc);
encode.Write(heatStrainIndexFieldDesc);
encode.Write(ciqCoreTemperatureFieldDesc);
encode.Write(ciqSkinTemperatureFieldDesc);
encode.Write(lapAvgCoreTemperatureFieldDesc);
encode.Write(lapMaxCoreTemperatureFieldDesc);
encode.Write(lapMinCoreTemperatureFieldDesc);
encode.Write(sessionAvgCoreTemperatureFieldDesc);
encode.Write(sessionMaxCoreTemperatureFieldDesc);
encode.Write(sessionMinCoreTemperatureFieldDesc);
encode.Write(ciqDeviceInfoFieldDesc);
encode.Write(deviceInfoMesg);
// Add Timestamp Correlation record
// This correlates the UTC timestamp with the system timestamp and local timestamp
fit::TimestampCorrelationMesg timestampCorrelationMesg;
FIT_DATE_TIME sessionStartTimestamp = session.at(firstRealIndex).time.toSecsSinceEpoch() - 631065600L;
// Timestamp: UTC timestamp at session start
timestampCorrelationMesg.SetTimestamp(sessionStartTimestamp);
// System Timestamp: Same as timestamp (session start)
timestampCorrelationMesg.SetSystemTimestamp(sessionStartTimestamp);
// Local Timestamp: User's local time at session start
// Convert the local time to FIT format
fit::DateTime localDateTime((time_t)session.at(firstRealIndex).time.toSecsSinceEpoch());
timestampCorrelationMesg.SetLocalTimestamp(localDateTime.GetTimeStamp());
encode.Write(timestampCorrelationMesg);
// Write workout message with developer metadata fields when workout name exists
// This keeps workout-related metadata separate from session/activity for better compatibility
if (workoutName.length() > 0) {
fit::TrainingFileMesg trainingFile;
trainingFile.SetTimestamp(sessionMesg.GetTimestamp());
trainingFile.SetTimeCreated(sessionMesg.GetTimestamp());
trainingFile.SetType(FIT_FILE_WORKOUT);
encode.Write(trainingFile);
fit::WorkoutMesg workout;
workout.SetSport(sessionMesg.GetSport());
workout.SetSubSport(sessionMesg.GetSubSport());
#ifndef _WIN32
workout.SetWktName(workoutName.toStdWString());
#endif
workout.SetNumValidSteps(1);
// Add developer fields to workout message
workout.AddDeveloperField(activityTitleField);
workout.AddDeveloperField(ftpSessionField);
workout.AddDeveloperField(workoutSourceField);
if (!pelotonWorkoutId.isEmpty()) {
workout.AddDeveloperField(pelotonWorkoutIdField);
}
if (!pelotonUrl.isEmpty()) {
workout.AddDeveloperField(pelotonUrlField);
}
if (!trainingProgramFile.isEmpty()) {
workout.AddDeveloperField(trainingProgramFileField);
}
encode.Write(workout);
fit::WorkoutStepMesg workoutStep;
workoutStep.SetDurationTime(sessionMesg.GetTotalTimerTime());
workoutStep.SetTargetValue(0);
workoutStep.SetCustomTargetValueHigh(0);
workoutStep.SetCustomTargetValueLow(0);
workoutStep.SetMessageIndex(0);
workoutStep.SetDurationType(FIT_WKT_STEP_DURATION_TIME);
workoutStep.SetTargetType(FIT_WKT_STEP_TARGET_SPEED);
workoutStep.SetIntensity(FIT_INTENSITY_INTERVAL);
encode.Write(workoutStep);
}
encode.Write(eventMesg);
fit::DateTime date((time_t)session.first().time.toSecsSinceEpoch());
fit::LapMesg lapMesg;
lapMesg.SetIntensity(FIT_INTENSITY_ACTIVE);
lapMesg.SetStartTime(date.GetTimeStamp() + firstRealIndex);
lapMesg.SetTimestamp(date.GetTimeStamp() + firstRealIndex);
lapMesg.SetEvent(FIT_EVENT_WORKOUT);
lapMesg.SetSubSport(FIT_SUB_SPORT_GENERIC);
lapMesg.SetEventType(FIT_EVENT_TYPE_STOP);
lapMesg.SetTotalElapsedTime(0);
lapMesg.SetTotalTimerTime(0);
if (overrideSport != FIT_SPORT_INVALID) {
lapMesg.SetSport(FIT_SPORT_GENERIC);
} else if (type == TREADMILL) {
lapMesg.SetSport(treadmill_activity_sport);
} else if (type == ELLIPTICAL) {
lapMesg.SetSport(FIT_SPORT_RUNNING);
} else if (type == ROWING) {
lapMesg.SetSport(FIT_SPORT_ROWING);
} else if (type == JUMPROPE) {
lapMesg.SetSport(FIT_SPORT_JUMP_ROPE);
} else if (type == STAIRCLIMBER) {
lapMesg.SetSport(FIT_SPORT_FITNESS_EQUIPMENT);
lapMesg.SetSubSport(FIT_SUB_SPORT_STAIR_CLIMBING);
} else {
lapMesg.SetSport(FIT_SPORT_CYCLING);
}
encode.Write(sessionMesg);
encode.Write(activityMesg);
SessionLine sl;
if (processFlag & QFIT_PROCESS_DISTANCENOISE) {
double distanceOld = -1.0;
int startIdx = -1;
for (int i = firstRealIndex; i < session.length(); i++) {
sl = session.at(i);
if (sl.distance != distanceOld || i == session.length() - 1) {
if (i == session.length() - 1 && sl.distance == distanceOld) {
i++;
}
if (startIdx >= 0) {
for (int j = startIdx; j < i; j++) {
session[j].distance += 0.1 * (j - startIdx) / (i - startIdx);
}
}
distanceOld = sl.distance;
startIdx = i;
}
}
}
uint32_t lastLapTimer = 0;
double lastLapOdometer = startingDistanceOffset;
double lapCoreTempSum = 0;
double lapCoreTempMin = 0;
double lapCoreTempMax = 0;
int lapCoreTempCount = 0;
for (int i = firstRealIndex; i < session.length(); i++) {
fit::RecordMesg newRecord;
sl = session.at(i);
fit::DeveloperField targetCadenceField(targetCadenceMesg, devIdMesg);
targetCadenceField.AddValue(sl.target_cadence);
newRecord.AddDeveloperField(targetCadenceField);
fit::DeveloperField targetWattField(targetWattMesg, devIdMesg);
targetWattField.AddValue(sl.target_watt);