Python Lap.Stats方法代码示例

# 需要导入模块: from tapiriik.services.interchange import Lap [as 别名]
# 或者: from tapiriik.services.interchange.Lap import Stats [as 别名]
    def DownloadActivity(self, serviceRecord, activity):
        session = self._get_session(serviceRecord)
        act_id = activity.ServiceData["ID"]
        activityDetails = session.get("https://api.nike.com/me/sport/activities/%s" % act_id, params=self._with_auth(session))
        activityDetails = activityDetails.json()

        streams = {metric["metricType"].lower(): self._nikeStream(metric) for metric in activityDetails["metrics"]}

        activity.GPS = activityDetails["isGpsActivity"]

        if activity.GPS:
            activityGps = session.get("https://api.nike.com/me/sport/activities/%s/gps" % act_id, params=self._with_auth(session))
            activityGps = activityGps.json()
            streams["gps"] = self._nikeStream(activityGps, "waypoints")
            activity.Stats.Elevation.update(ActivityStatistic(ActivityStatisticUnit.Meters,
                                                              gain=float(activityGps["elevationGain"]),
                                                              loss=float(activityGps["elevationLoss"]),
                                                              max=float(activityGps["elevationMax"]),
                                                              min=float(activityGps["elevationMin"])))

        lap = Lap(startTime=activity.StartTime, endTime=activity.EndTime)
        lap.Stats = activity.Stats
        activity.Laps = [lap]
        # I thought I wrote StreamSampler to be generator-friendly - nope.
        streams = {k: list(v) for k,v in streams.items()}

        # The docs are unclear on which of these are actually stream metrics, oh well
        def stream_waypoint(offset, speed=None, distance=None, heartrate=None, calories=None, steps=None, watts=None, gps=None, **kwargs):
            wp = Waypoint()
            wp.Timestamp = activity.StartTime + timedelta(seconds=offset)
            wp.Speed = float(speed) if speed else None
            wp.Distance = float(distance) / 1000 if distance else None
            wp.HR = float(heartrate) if heartrate else None
            wp.Calories = float(calories) if calories else None
            wp.Power = float(watts) if watts else None

            if gps:
                wp.Location = Location(lat=float(gps["latitude"]), lon=float(gps["longitude"]), alt=float(gps["elevation"]))
            lap.Waypoints.append(wp)

        StreamSampler.SampleWithCallback(stream_waypoint, streams)

        activity.Stationary = len(lap.Waypoints) == 0

        return activity

# 需要导入模块: from tapiriik.services.interchange import Lap [as 别名]
# 或者: from tapiriik.services.interchange.Lap import Stats [as 别名]
    def _downloadActivity(self, serviceRecord, activity, returnFirstLocation=False):
        activityURI = activity.ServiceData["ActivityURI"]
        cookies = self._get_cookies(record=serviceRecord)
        activityData = requests.get(activityURI, cookies=cookies)
        activityData = activityData.json()

        if "clock_duration" in activityData:
            activity.EndTime = activity.StartTime + timedelta(seconds=float(activityData["clock_duration"]))

        activity.Private = "sharing" in activityData and activityData["sharing"] != "public"

        if "notes" in activityData:
            activity.Notes = activityData["notes"]

        activity.Stats.Energy = ActivityStatistic(ActivityStatisticUnit.Kilojoules, value=float(activityData["calories"]))

        activity.Stats.Elevation = ActivityStatistic(ActivityStatisticUnit.Meters, gain=float(activityData["elevation_gain"]) if "elevation_gain" in activityData else None, loss=float(activityData["elevation_loss"]) if "elevation_loss" in activityData else None)

        activity.Stats.HR = ActivityStatistic(ActivityStatisticUnit.BeatsPerMinute, avg=activityData["avg_heartrate"] if "avg_heartrate" in activityData else None, max=activityData["max_heartrate"] if "max_heartrate" in activityData else None)
        activity.Stats.Cadence = ActivityStatistic(ActivityStatisticUnit.RevolutionsPerMinute, avg=activityData["avg_cadence"] if "avg_cadence" in activityData else None, max=activityData["max_cadence"] if "max_cadence" in activityData else None)
        activity.Stats.Power = ActivityStatistic(ActivityStatisticUnit.Watts, avg=activityData["avg_power"] if "avg_power" in activityData else None, max=activityData["max_power"] if "max_power" in activityData else None)

        laps_info = []
        laps_starts = []
        if "laps" in activityData:
            laps_info = activityData["laps"]
            for lap in activityData["laps"]:
                laps_starts.append(dateutil.parser.parse(lap["start_time"]))
        lap = None
        for lapinfo in laps_info:
            lap = Lap()
            activity.Laps.append(lap)
            lap.StartTime = dateutil.parser.parse(lapinfo["start_time"])
            lap.EndTime = lap.StartTime + timedelta(seconds=lapinfo["clock_duration"])
            if "type" in lapinfo:
                lap.Intensity = LapIntensity.Active if lapinfo["type"] == "ACTIVE" else LapIntensity.Rest
            if "distance" in lapinfo:
                lap.Stats.Distance = ActivityStatistic(ActivityStatisticUnit.Meters, value=float(lapinfo["distance"]))
            if "duration" in lapinfo:
                lap.Stats.MovingTime = ActivityStatistic(ActivityStatisticUnit.Time, value=timedelta(seconds=lapinfo["duration"]))
            if "calories" in lapinfo:
                lap.Stats.Energy = ActivityStatistic(ActivityStatisticUnit.Kilojoules, value=lapinfo["calories"])
            if "elevation_gain" in lapinfo:
                lap.Stats.Elevation.update(ActivityStatistic(ActivityStatisticUnit.Meters, gain=float(lapinfo["elevation_gain"])))
            if "elevation_loss" in lapinfo:
                lap.Stats.Elevation.update(ActivityStatistic(ActivityStatisticUnit.Meters, loss=float(lapinfo["elevation_loss"])))
            if "max_speed" in lapinfo:
                lap.Stats.Speed.update(ActivityStatistic(ActivityStatisticUnit.MetersPerSecond, max=float(lapinfo["max_speed"])))
            if "max_speed" in lapinfo:
                lap.Stats.Speed.update(ActivityStatistic(ActivityStatisticUnit.MetersPerSecond, max=float(lapinfo["max_speed"])))
            if "avg_speed" in lapinfo:
                lap.Stats.Speed.update(ActivityStatistic(ActivityStatisticUnit.MetersPerSecond, avg=float(lapinfo["avg_speed"])))
            if "max_heartrate" in lapinfo:
                lap.Stats.HR.update(ActivityStatistic(ActivityStatisticUnit.BeatsPerMinute, max=float(lapinfo["max_heartrate"])))
            if "avg_heartrate" in lapinfo:
                lap.Stats.HR.update(ActivityStatistic(ActivityStatisticUnit.BeatsPerMinute, avg=float(lapinfo["avg_heartrate"])))
        if lap is None: # No explicit laps => make one that encompasses the entire activity
            lap = Lap()
            activity.Laps.append(lap)
            lap.Stats = activity.Stats
            lap.StartTime = activity.StartTime
            lap.EndTime = activity.EndTime

        if "location" not in activityData:
            activity.Stationary = True
        else:
            activity.Stationary = False
            timerStops = []
            if "timer_stops" in activityData:
                for stop in activityData["timer_stops"]:
                    timerStops.append([dateutil.parser.parse(stop[0]), dateutil.parser.parse(stop[1])])

            def isInTimerStop(timestamp):
                for stop in timerStops:
                    if timestamp >= stop[0] and timestamp < stop[1]:
                        return True
                    if timestamp >= stop[1]:
                        return False
                return False

              # Collate the individual streams into our waypoints.
            # Everything is resampled by nearest-neighbour to the rate of the location stream.
            parallel_indices = {}
            parallel_stream_lengths = {}
            for secondary_stream in ["elevation", "heartrate", "power", "cadence", "distance"]:
                if secondary_stream in activityData:
                    parallel_indices[secondary_stream] = 0
                    parallel_stream_lengths[secondary_stream] = len(activityData[secondary_stream])

            wasInPause = False
            currentLapIdx = 0
            lap = activity.Laps[currentLapIdx]
            for idx in range(0, len(activityData["location"]), 2):
                # Pick the nearest indices in the parallel streams
                for parallel_stream, parallel_index in parallel_indices.items():
                    if parallel_index + 2 == parallel_stream_lengths[parallel_stream]:
                        continue  # We're at the end of this stream
                    # Is the next datapoint a better choice than the current?
                    if abs(activityData["location"][idx] - activityData[parallel_stream][parallel_index + 2]) < abs(activityData["location"][idx] - activityData[parallel_stream][parallel_index]):
                        parallel_indices[parallel_stream] += 2
#.........这里部分代码省略.........

# 需要导入模块: from tapiriik.services.interchange import Lap [as 别名]
# 或者: from tapiriik.services.interchange.Lap import Stats [as 别名]
    def _downloadActivity(self, serviceRecord, activity, returnFirstLocation=False):
        activityURI = activity.ServiceData["ActivityURI"]
        headers = self._getAuthHeaders(serviceRecord)
        activityData = requests.get(activityURI, headers=headers)
        activityData = activityData.json()

        if "clock_duration" in activityData:
            activity.EndTime = activity.StartTime + timedelta(seconds=float(activityData["clock_duration"]))

        activity.Private = "sharing" in activityData and activityData["sharing"] != "public"

        activity.GPS = False # Gets set back if there is GPS data

        if "notes" in activityData:
            activity.Notes = activityData["notes"]

        activity.Stats.Energy = ActivityStatistic(ActivityStatisticUnit.Kilojoules, value=float(activityData["calories"]))

        activity.Stats.Elevation = ActivityStatistic(ActivityStatisticUnit.Meters, gain=float(activityData["elevation_gain"]) if "elevation_gain" in activityData else None, loss=float(activityData["elevation_loss"]) if "elevation_loss" in activityData else None)

        activity.Stats.HR = ActivityStatistic(ActivityStatisticUnit.BeatsPerMinute, avg=activityData["avg_heartrate"] if "avg_heartrate" in activityData else None, max=activityData["max_heartrate"] if "max_heartrate" in activityData else None)
        activity.Stats.Cadence = ActivityStatistic(ActivityStatisticUnit.RevolutionsPerMinute, avg=activityData["avg_cadence"] if "avg_cadence" in activityData else None, max=activityData["max_cadence"] if "max_cadence" in activityData else None)
        activity.Stats.Power = ActivityStatistic(ActivityStatisticUnit.Watts, avg=activityData["avg_power"] if "avg_power" in activityData else None, max=activityData["max_power"] if "max_power" in activityData else None)

        laps_info = []
        laps_starts = []
        if "laps" in activityData:
            laps_info = activityData["laps"]
            for lap in activityData["laps"]:
                laps_starts.append(dateutil.parser.parse(lap["start_time"]))
        lap = None
        for lapinfo in laps_info:
            lap = Lap()
            activity.Laps.append(lap)
            lap.StartTime = dateutil.parser.parse(lapinfo["start_time"])
            lap.EndTime = lap.StartTime + timedelta(seconds=lapinfo["clock_duration"])
            if "type" in lapinfo:
                lap.Intensity = LapIntensity.Active if lapinfo["type"] == "ACTIVE" else LapIntensity.Rest
            if "distance" in lapinfo:
                lap.Stats.Distance = ActivityStatistic(ActivityStatisticUnit.Meters, value=float(lapinfo["distance"]))
            if "duration" in lapinfo:
                lap.Stats.TimerTime = ActivityStatistic(ActivityStatisticUnit.Seconds, value=lapinfo["duration"])
            if "calories" in lapinfo:
                lap.Stats.Energy = ActivityStatistic(ActivityStatisticUnit.Kilojoules, value=lapinfo["calories"])
            if "elevation_gain" in lapinfo:
                lap.Stats.Elevation.update(ActivityStatistic(ActivityStatisticUnit.Meters, gain=float(lapinfo["elevation_gain"])))
            if "elevation_loss" in lapinfo:
                lap.Stats.Elevation.update(ActivityStatistic(ActivityStatisticUnit.Meters, loss=float(lapinfo["elevation_loss"])))
            if "max_speed" in lapinfo:
                lap.Stats.Speed.update(ActivityStatistic(ActivityStatisticUnit.MetersPerSecond, max=float(lapinfo["max_speed"])))
            if "max_speed" in lapinfo:
                lap.Stats.Speed.update(ActivityStatistic(ActivityStatisticUnit.MetersPerSecond, max=float(lapinfo["max_speed"])))
            if "avg_speed" in lapinfo:
                lap.Stats.Speed.update(ActivityStatistic(ActivityStatisticUnit.MetersPerSecond, avg=float(lapinfo["avg_speed"])))
            if "max_heartrate" in lapinfo:
                lap.Stats.HR.update(ActivityStatistic(ActivityStatisticUnit.BeatsPerMinute, max=float(lapinfo["max_heartrate"])))
            if "avg_heartrate" in lapinfo:
                lap.Stats.HR.update(ActivityStatistic(ActivityStatisticUnit.BeatsPerMinute, avg=float(lapinfo["avg_heartrate"])))
        if lap is None: # No explicit laps => make one that encompasses the entire activity
            lap = Lap()
            activity.Laps.append(lap)
            lap.Stats = activity.Stats
            lap.StartTime = activity.StartTime
            lap.EndTime = activity.EndTime
        elif len(activity.Laps) == 1:
            activity.Stats.update(activity.Laps[0].Stats) # Lap stats have a bit more info generally.
            activity.Laps[0].Stats = activity.Stats

        timerStops = []
        if "timer_stops" in activityData:
            for stop in activityData["timer_stops"]:
                timerStops.append([dateutil.parser.parse(stop[0]), dateutil.parser.parse(stop[1])])

        def isInTimerStop(timestamp):
            for stop in timerStops:
                if timestamp >= stop[0] and timestamp < stop[1]:
                    return True
                if timestamp >= stop[1]:
                    return False
            return False

        # Collate the individual streams into our waypoints.
        # Global sample rate is variable - will pick the next nearest stream datapoint.
        # Resampling happens on a lookbehind basis - new values will only appear their timestamp has been reached/passed

        wasInPause = False
        currentLapIdx = 0
        lap = activity.Laps[currentLapIdx]

        streams = []
        for stream in ["location", "elevation", "heartrate", "power", "cadence", "distance"]:
            if stream in activityData:
                streams.append(stream)
        stream_indices = dict([(stream, -1) for stream in streams]) # -1 meaning the stream has yet to start
        stream_lengths = dict([(stream, len(activityData[stream])/2) for stream in streams])
        # Data comes as "stream":[timestamp,value,timestamp,value,...]
        stream_values = {}
        for stream in streams:
            values = []
            for x in range(0,int(len(activityData[stream])/2)):
#.........这里部分代码省略.........

# 需要导入模块: from tapiriik.services.interchange import Lap [as 别名]
# 或者: from tapiriik.services.interchange.Lap import Stats [as 别名]
    def _populateActivityFromTrackData(self, activity, recordText, minimumWaypoints=False):
        lap = Lap()
        activity.Laps = [lap]
        ###       1ST RECORD      ###
        # userID;
        # timestamp - create date?;
        # type? W=1st
        # User name;
        # activity name;
        # activity type;
        # another timestamp - start time of event?;
        # duration.00;
        # distance (km);
        # kcal;
        #;
        # max alt;
        # min alt;
        # max HR;
        # avg HR;

        ###     TRACK RECORDS     ###
        # timestamp;
        # type (2=start, 3=end, 0=pause, 1=resume);
        # latitude;
        # longitude;
        #;
        #;
        # alt;
        # hr;
        wptsWithLocation = False
        wptsWithNonZeroAltitude = False
        rows = recordText.split("\n")
        for row in rows:
            if row == "OK" or len(row) == 0:
                continue
            split = row.split(";")
            if split[2] == "W":
                # init record
                lap.Stats.MovingTime = ActivityStatistic(ActivityStatisticUnit.Time, value=timedelta(seconds=float(split[7])) if split[7] != "" else None)
                lap.Stats.Distance = ActivityStatistic(ActivityStatisticUnit.Kilometers, value=float(split[8]) if split[8] != "" else None)
                lap.Stats.HR = ActivityStatistic(ActivityStatisticUnit.BeatsPerMinute, avg=float(split[14]) if split[14] != "" else None, max=float(split[13]) if split[13] != "" else None)
                lap.Stats.Elevation = ActivityStatistic(ActivityStatisticUnit.Meters, min=float(split[12]) if split[12] != "" else None, max=float(split[11]) if split[11] != "" else None)
                lap.Stats.Energy = ActivityStatistic(ActivityStatisticUnit.Kilocalories, value=float(split[12]) if split[12] != "" else None)
                activity.Stats.update(lap.Stats)
                lap.Stats = activity.Stats
                activity.Name = split[4]
            else:
                wp = Waypoint()
                if split[1] == "2":
                    wp.Type = WaypointType.Start
                elif split[1] == "3":
                    wp.Type = WaypointType.End
                elif split[1] == "0":
                    wp.Type = WaypointType.Pause
                elif split[1] == "1":
                    wp.Type = WaypointType.Resume
                else:
                    wp.Type == WaypointType.Regular

                if split[0] == "":
                    continue  # no timestamp, for whatever reason
                wp.Timestamp = pytz.utc.localize(datetime.strptime(split[0], "%Y-%m-%d %H:%M:%S UTC"))  # it's like this as opposed to %z so I know when they change things (it'll break)
                if split[2] != "":
                    wp.Location = Location(float(split[2]), float(split[3]), None)
                    if wp.Location.Longitude > 180 or wp.Location.Latitude > 90 or wp.Location.Longitude < -180 or wp.Location.Latitude < -90:
                        raise APIExcludeActivity("Out of range lat/lng")
                    if wp.Location.Latitude is not None and wp.Location.Latitude is not None:
                        wptsWithLocation = True
                    if split[6] != "":
                        wp.Location.Altitude = float(split[6])  # why this is missing: who knows?
                        if wp.Location.Altitude != 0:
                            wptsWithNonZeroAltitude = True

                if split[7] != "":
                    wp.HR = float(split[7])
                lap.Waypoints.append(wp)
                if wptsWithLocation and minimumWaypoints:
                    break
        lap.Waypoints = sorted(activity.Waypoints, key=lambda v: v.Timestamp)
        if wptsWithLocation:
            activity.EnsureTZ(recalculate=True)
            if not wptsWithNonZeroAltitude:  # do this here so, should the activity run near sea level, altitude data won't be spotty
                for x in lap.Waypoints:  # clear waypoints of altitude data if all of them were logged at 0m (invalid)
                    if x.Location is not None:
                        x.Location.Altitude = None
        else:
            lap.Waypoints = []  # practically speaking