Ejemplo n.º 1
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class BikeProfile(Message):
    msg_type = 6

    message_index = MessageIndex(254)
    name = String(0)
    sport = Sport(1)
    sub_sport = SubSport(2)
    odometer = UInt32(3, units="m") * 100
    bike_spd_ant_id = UInt16Z(4)
    bike_cad_ant_id = UInt16Z(5)
    bike_spdcad_ant_id = UInt16Z(6)
    bike_power_ant_id = UInt16Z(7)
    custom_wheelsize = UInt16(8)
    auto_wheelsize = UInt16(9)
    bike_wieght = UInt16(10)
    power_cal_factor = UInt16(11)
    auto_wheel_cal = Bool(12)
    auto_power_zero = Bool(13)
    id = UInt8(14)
    spd_enabled = Bool(15)
    cad_enabled = Bool(16)
    spdcad_enabled = Bool(17)
    power_enabled = Bool(18)
    crank_length = UInt8(19)
    enabled = Bool(20)
    bike_spd_ant_id_trans_type = UInt8Z(21)
    bike_cad_ant_id_trans_type = UInt8Z(22)
    bike_spdcad_ant_id_trans_type = UInt8Z(23)
    bike_power_ant_id_trans_type = UInt8Z(24)
    odometer_rollover = UInt8(37)
    front_gear_num = UInt8Z(38)
    front_gear = UInt8Z(39)
    rear_gear_num = UInt8Z(40)
    read_gear = UInt8Z(41)
Ejemplo n.º 2
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class Workout(Message):
    msg_type = 26

    sport = Sport(4)
    capabilities = WorkoutCapabilities(5)
    num_valid_steps = UInt16(6)
    wkt_name = String(8)
Ejemplo n.º 3
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class Totals(Message):
    msg_type = 33

    message_index = MessageIndex(254)
    timestamp = DateTime(253) * "s"
    timer_time = UInt32(0) * "s"
    distance = UInt32(1) * "m"
    calories = UInt32(2) * "kcal"
    sport = Sport(3)
    elapsed_time = UInt32(4) * "s"
    sessions = UInt16(5)
    active_time = UInt32(6) * "s"
Ejemplo n.º 4
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class Goal(Message):
    msg_type = 15

    message_index = MessageIndex(254)
    sport = Sport(0)
    sub_sport = SubSport(1)
    start_date = DateTime(2)
    end_date = DateTime(3)
    type = GoalField(4)
    value = UInt32(5)
    repeat = Bool(6)
    target_value = UInt32(7)
    recurrence = GoalRecurrence(8)
    recurrence_value = UInt16(9)
    enabled = Bool(10)
Ejemplo n.º 5
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class Session(Message):
    msg_type = 18

    message_index = MessageIndex(254)
    timestamp = DateTime(253)
    event = EventField(0)
    event_type = EventType(1)
    start_time = DateTime(2)
    start_position_lat = degrees(3)
    start_position_long = degrees(4)
    sport = Sport(5)
    sub_sport = SubSport(6)
    total_elapsed_time = UInt32(7, units="s") * 1000
    total_timer_time = UInt32(8, units="s") * 1000
    total_distance = UInt32(9, units="m") * 100
    total_cycles = Dynamic(UInt32(10, units="cycles"),
                           referred_to="sport",
                           running=SubField("total_strides", units="strides"))
    total_calories = UInt16(11) * "kcal"
    total_fat_calories = UInt16(13) * "kcal"
    avg_speed = UInt16(14, units="m/s") * 1000
    max_speed = UInt16(15, units="m/s") * 1000
    avg_heart_rate = UInt8(16) * "bpm"
    max_heart_rate = UInt8(17) * "bpm"
    avg_cadence = Dynamic(UInt8(18, units="rpm"),
                          referred_to="sport",
                          running=SubField("avg_running_cadence",
                                           units="strides/min"))
    max_cadence = Dynamic(UInt8(19, units="rpm"),
                          referred_to="sport",
                          running=SubField("max_running_cadence",
                                           units="strides/min"))
    avg_power = UInt16(20) * "watts"
    max_power = UInt16(21) * "watts"
    total_ascent = UInt16(22) * "m"
    total_descent = UInt16(23) * "m"
    total_training_effect = UInt8(24) * 10
    first_lap_index = UInt16(25)
    num_laps = UInt16(26)
    event_group = UInt8(27)
    trigger = SessionTrigger(28)
    nec_lat = degrees(29)
    nec_long = degrees(30)
    swc_lat = degrees(31)
    swc_long = degrees(32)
    normalized_power = UInt16(34) * "watts"
    training_stress_score = UInt16(35, units="tss") * 10
    intensity_factor = UInt16(36, units="if") * 1000
    left_right_balance = LeftRightBalance100(37)
    avg_stroke_count = UInt32(41, units="strokes/lap") * 10
    avg_stroke_distance = UInt16(42, units="m") * 100
    swim_stroke = SwimStroke(43)
    pool_length = UInt16(44, units="m") * 100
    pool_length_unit = DisplayMeasure(46)
    num_active_lengths = UInt16(47)
    total_work = UInt32(48) * "J"
    avg_altitude = UInt16(49, units="m") * 5 + 500
    max_altitude = UInt16(50, units="m") * 5 + 500
    gps_accuracy = UInt8(51) * "m"
    avg_grade = SInt16(52, units="%") * 100
    avg_pos_grade = SInt16(53, units="%") * 100
    avg_neg_grade = SInt16(54, units="%") * 100
    max_pos_grade = SInt16(55, units="%") * 100
    max_neg_grade = SInt16(56, units="%") * 100
    avg_temperature = SInt8(57) * "°C"
    max_temperature = SInt8(58) * "°C"
    total_moving_time = UInt32(59, units="s") * 1000
    avg_pos_vertical_speed = SInt16(60, units="m/s") * 1000
    avg_neg_vertical_speed = SInt16(61, units="m/s") * 1000
    max_pos_vertical_speed = SInt16(62, units="m/s") * 1000
    max_neg_vertical_speed = SInt16(63, units="m/s") * 1000
    min_heart_rate = UInt8(64) * "bpm"
    time_in_hr_zone = Array(UInt32(65, units="s") * 1000)
    time_in_speed_zone = Array(UInt32(66, units="s") * 1000)
    time_in_cadence_zone = Array(UInt32(67, units="s") * 1000)
    time_in_power_zone = Array(UInt32(68, units="s") * 1000)
    avg_lap_time = UInt32(69, units="s") * 1000
    best_lap_index = UInt16(70)
    min_altitude = UInt16(71, units="m") * 5 + 500
    player_score = UInt16(82)
    opponent_score = UInt16(83)
    opponent_name = String(84)
    stroke_count = Array(UInt16(85))
    zone_count = Array(UInt16(86))
    max_ball_speed = UInt16(87, units="m/s") * 100
    avg_ball_speed = UInt16(88, units="m/s") * 100
    avg_vertical_oscillation = UInt16(89, units="mm") * 10
    avg_stance_time_percent = UInt16(90, units="%") * 100
    avg_stance_time = UInt16(91, units="ms") * 10
    avg_fractional_cadence = UInt8(92, units="rpm") * 128
    max_fractional_cadence = UInt8(93, units="rpm") * 128
    total_fractional_cycles = UInt8(94, units="cycles") * 128
    avg_total_hemoglobin_conc = Array(UInt16(95, units="g/dL") * 100)
    min_total_hemoglobin_conc = Array(UInt16(96, units="g/dL") * 100)
    max_total_hemoglobin_conc = Array(UInt16(97, units="g/dL") * 100)
    avg_saturated_hemoglobin_percent = Array(UInt16(98, units="%") * 10)
    min_saturated_hemoglobin_percent = Array(UInt16(99, units="%") * 10)
    max_saturated_hemoglobin_percent = Array(UInt16(100, units="%") * 10)
    avg_left_torque_effectiveness = UInt8(101, units="%") * 2
    avg_right_torque_effectiveness = UInt8(102, units="%") * 2
    avg_left_pedal_smoothness = UInt8(103, units="%") * 2
    avg_right_pedal_smoothness = UInt8(104, units="%") * 2
    avg_combined_pedal_smoothness = UInt8(105, units="%") * 2
Ejemplo n.º 6
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class Lap(Message):
    msg_type = 19

    message_index = MessageIndex(254)
    timestamp = DateTime(253)
    event = EventField(0)
    event_type = EventType(1)
    start_time = DateTime(2)
    start_position_lat = degrees(3)
    start_position_long = degrees(4)
    end_position_lat = degrees(5)
    end_position_long = degrees(6)
    total_elapsed_time = UInt32(7, units="s") * 1000
    total_timer_time = UInt32(8, units="s") * 1000
    total_distance = UInt32(9, units="m") * 100
    total_cycles = Dynamic(UInt32(10, units="cycles"),
                           referred_to="sport",
                           running=SubField("total_strides", units="strides"))
    total_calories = UInt16(11) * "kcal"
    total_fat_calories = UInt16(12) * "kcal"
    avg_speed = UInt16(13, units="m/s") * 1000
    max_speed = UInt16(14, units="m/s") * 1000
    avg_heart_rate = UInt8(15) * "bpm"
    max_heart_rate = UInt8(16) * "bpm"
    avg_cadence = Dynamic(UInt8(17, units="rpm"),
                          referred_to="sport",
                          running=SubField("avg_running_cadence",
                                           units="strides/min"))
    max_cadence = Dynamic(UInt8(18, units="rpc"),
                          referred_to="sport",
                          running=SubField("max_running_cadence",
                                           units="strides/min"))
    avg_power = UInt16(19) * "watts"
    max_power = UInt16(20) * "watts"
    total_ascent = UInt16(21) * "m"
    total_descent = UInt16(22) * "m"
    intensity = Intensity(23)
    lap_trigger = LapTrigger(24)
    sport = Sport(25)
    event_group = UInt8(26)
    num_lengths = UInt16(32)
    normalized_power = UInt16(33) * "watts"
    left_right_balance = LeftRightBalance100(34)
    first_length_index = UInt16(35)
    avg_stroke_distance = UInt16(37, units="m") * 100
    swim_stroke = SwimStroke(38)
    sub_sport = SubSport(39)
    num_active_lengths = UInt16(40)
    total_work = UInt32(41) * "J"
    avg_altitude = UInt16(42, units="m") * 5 + 500
    max_altitude = UInt16(43, units="m") * 5 + 500
    gps_accuracy = UInt8(44) * "m"
    avg_grade = SInt16(45, units="%") * 100
    avg_pos_grade = SInt16(46, units="%") * 100
    avg_neg_grade = SInt16(47, units="%") * 100
    max_pos_grade = SInt16(48, units="%") * 100
    max_neg_grade = SInt16(49, units="%") * 100
    avg_temperature = SInt8(50) * "°C"
    max_temperature = SInt8(51) * "°C"
    total_moving_time = UInt32(52, units="s") * 1000
    avg_pos_vertical_speed = SInt16(53, units="m/s") * 1000
    avg_neg_vertical_speed = SInt16(54, units="m/s") * 1000
    max_pos_vertical_speed = SInt16(55, units="m/s") * 1000
    max_neg_vertical_speed = SInt16(56, units="m/s") * 1000
    time_in_hr_zone = Array(UInt32(57, units="s") * 1000)
    time_in_speed_zone = Array(UInt32(58, units="s") * 1000)
    time_in_cadence_zone = Array(UInt32(59, units="s") * 1000)
    time_in_power_zone = Array(UInt32(60, units="s") * 1000)
    repetition_num = UInt16(61)
    min_altitude = UInt16(62, units="m") * 5 + 500
    min_heart_rate = UInt8(63) * "bpm"
    wkt_step_index = MessageIndex(71)
    opponent_score = UInt16(74)
    stroke_count = Array(UInt16(75))
    zone_count = Array(UInt16(76))
    avg_vertical_oscillation = UInt16(77, units="mm") * 10
    avg_stance_time_percent = UInt16(78, units="%") * 100
    avg_stance_time = UInt16(79, units="ms") * 10
    avg_fractional_cadence = UInt8(80, units="rpm") * 128
    max_fractional_cadence = UInt8(81, units="rpm") * 128
    total_fractional_cycles = UInt8(82, units="cycles") * 128
    player_score = UInt16(83)
    avg_total_hemoglobin_conc = Array(UInt16(84, units="g/dL") * 100)
    min_total_hemoglobin_conc = Array(UInt16(85, units="g/dL") * 100)
    max_total_hemoglobin_conc = Array(UInt16(86, units="g/dL") * 100)
    avg_saturated_hemoglobin_percent = Array(UInt16(87, units="%") * 10)
    min_saturated_hemoglobin_percent = Array(UInt16(88, units="%") * 10)
    max_saturated_hemoglobin_percent = Array(UInt16(89, units="%") * 10)
    avg_left_torque_effectiveness = UInt8(91, units="%") * 2
    avg_right_torque_effectiveness = UInt8(92, units="%") * 2
    avg_left_pedal_smoothness = UInt8(93, units="%") * 2
    avg_right_pedal_smoothness = UInt8(94, units="%") * 2
    avg_combined_pedal_smoothness = UInt8(95, units="%") * 2
Ejemplo n.º 7
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class Course(Message):
    msg_type = 31

    sport = Sport(4)
    name = String(5)
    capabilities = CourseCapabilities(6)