Python Waypoint.Distance方法代码示例

# 需要导入模块: from tapiriik.services.interchange import Waypoint [as 别名]
# 或者: from tapiriik.services.interchange.Waypoint import Distance [as 别名]
    def _populateActivityWaypoints(self, rawData, activity):
        ''' populate the Waypoints collection from RK API data '''
        lap = Lap(stats=activity.Stats, startTime=activity.StartTime, endTime=activity.EndTime)
        activity.Laps = [lap]

        #  path is the primary stream, HR/power/etc must have fewer pts
        hasHR = "heart_rate" in rawData and len(rawData["heart_rate"]) > 0
        hasCalories = "calories" in rawData and len(rawData["calories"]) > 0
        hasDistance = "distance" in rawData and len(rawData["distance"]) > 0
        for pathpoint in rawData["path"]:
            waypoint = Waypoint(activity.StartTime + timedelta(0, pathpoint["timestamp"]))
            waypoint.Location = Location(pathpoint["latitude"], pathpoint["longitude"], pathpoint["altitude"] if "altitude" in pathpoint and float(pathpoint["altitude"]) != 0 else None)  # if you're running near sea level, well...
            waypoint.Type = self._wayptTypeMappings[pathpoint["type"]] if pathpoint["type"] in self._wayptTypeMappings else WaypointType.Regular

            if hasHR:
                hrpoint = [x for x in rawData["heart_rate"] if x["timestamp"] == pathpoint["timestamp"]]
                if len(hrpoint) > 0:
                    waypoint.HR = hrpoint[0]["heart_rate"]
            if hasCalories:
                calpoint = [x for x in rawData["calories"] if x["timestamp"] == pathpoint["timestamp"]]
                if len(calpoint) > 0:
                    waypoint.Calories = calpoint[0]["calories"]
            if hasDistance:
                distpoint = [x for x in rawData["distance"] if x["timestamp"] == pathpoint["timestamp"]]
                if len(distpoint) > 0:
                    waypoint.Distance = distpoint[0]["distance"]

            lap.Waypoints.append(waypoint)

# 需要导入模块: from tapiriik.services.interchange import Waypoint [as 别名]
# 或者: from tapiriik.services.interchange.Waypoint import Distance [as 别名]
        def _addWaypoint(timestamp, path=None, heart_rate=None, calories=None, distance=None):
            waypoint = Waypoint(activity.StartTime + timedelta(seconds=timestamp))
            if path:
                waypoint.Location = Location(path["latitude"], path["longitude"], path["altitude"] if "altitude" in path and float(path["altitude"]) != 0 else None)  # if you're running near sea level, well...
                waypoint.Type = self._wayptTypeMappings[path["type"]] if path["type"] in self._wayptTypeMappings else WaypointType.Regular
            waypoint.HR = heart_rate
            waypoint.Calories = calories
            waypoint.Distance = distance

            lap.Waypoints.append(waypoint)

# 需要导入模块: from tapiriik.services.interchange import Waypoint [as 别名]
# 或者: from tapiriik.services.interchange.Waypoint import Distance [as 别名]
        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)

# 需要导入模块: from tapiriik.services.interchange import Waypoint [as 别名]
# 或者: from tapiriik.services.interchange.Waypoint import Distance [as 别名]
 def _addWaypoint(timestamp, path=None, heart_rate=None, power=None, distance=None, speed=None, cadence=None):
     waypoint = Waypoint(activity.StartTime + timedelta(seconds=timestamp))
     if path:
         if path["latitude"] != 0 and path["longitude"] != 0:
             waypoint.Location = Location(path["latitude"], path["longitude"], path["altitude"] if "altitude" in path and float(path["altitude"]) != 0 else None)  # if you're running near sea level, well...
         waypoint.Type = WaypointType.Regular
     waypoint.HR = heart_rate
     waypoint.Distance = distance
     waypoint.Speed = speed
     waypoint.Cadence = cadence
     waypoint.Power = power
     lap.Waypoints.append(waypoint)

# 需要导入模块: from tapiriik.services.interchange import Waypoint [as 别名]
# 或者: from tapiriik.services.interchange.Waypoint import Distance [as 别名]
    def DownloadActivity(self, svcRecord, activity):
        if activity.ServiceData["Manual"]:  # I should really add a param to DownloadActivity for this value as opposed to constantly doing this
            # We've got as much information as we're going to get - we need to copy it into a Lap though.
            activity.Laps = [Lap(startTime=activity.StartTime, endTime=activity.EndTime, stats=activity.Stats)]
            return activity
        activityID = activity.ServiceData["ActivityID"]

        streamdata = requests.get("https://www.strava.com/api/v3/activities/" + str(activityID) + "/streams/time,altitude,heartrate,cadence,watts,temp,moving,latlng,distance,velocity_smooth", headers=self._apiHeaders(svcRecord))
        if streamdata.status_code == 401:
            raise APIException("No authorization to download activity", block=True, user_exception=UserException(UserExceptionType.Authorization, intervention_required=True))

        try:
            streamdata = streamdata.json()
        except:
            raise APIException("Stream data returned is not JSON")

        if "message" in streamdata and streamdata["message"] == "Record Not Found":
            raise APIException("Could not find activity")

        ridedata = {}
        for stream in streamdata:
            ridedata[stream["type"]] = stream["data"]

        lap = Lap(stats=activity.Stats, startTime=activity.StartTime, endTime=activity.EndTime) # Strava doesn't support laps, but we need somewhere to put the waypoints.
        activity.Laps = [lap]
        lap.Waypoints = []

        hasHR = "heartrate" in ridedata and len(ridedata["heartrate"]) > 0
        hasCadence = "cadence" in ridedata and len(ridedata["cadence"]) > 0
        hasTemp = "temp" in ridedata and len(ridedata["temp"]) > 0
        hasPower = ("watts" in ridedata and len(ridedata["watts"]) > 0)
        hasAltitude = "altitude" in ridedata and len(ridedata["altitude"]) > 0
        hasDistance = "distance" in ridedata and len(ridedata["distance"]) > 0
        hasVelocity = "velocity_smooth" in ridedata and len(ridedata["velocity_smooth"]) > 0

        if "error" in ridedata:
            raise APIException("Strava error " + ridedata["error"])

        inPause = False

        waypointCt = len(ridedata["time"])
        for idx in range(0, waypointCt - 1):

            waypoint = Waypoint(activity.StartTime + timedelta(0, ridedata["time"][idx]))
            if "latlng" in ridedata:
                latlng = ridedata["latlng"][idx]
                waypoint.Location = Location(latlng[0], latlng[1], None)
                if waypoint.Location.Longitude == 0 and waypoint.Location.Latitude == 0:
                    waypoint.Location.Longitude = None
                    waypoint.Location.Latitude = None

            if hasAltitude:
                if not waypoint.Location:
                    waypoint.Location = Location(None, None, None)
                waypoint.Location.Altitude = float(ridedata["altitude"][idx])

            # When pausing, Strava sends this format:
            # idx = 100 ; time = 1000; moving = true
            # idx = 101 ; time = 1001; moving = true  => convert to Pause
            # idx = 102 ; time = 2001; moving = false => convert to Resume: (2001-1001) seconds pause
            # idx = 103 ; time = 2002; moving = true

            if idx == 0:
                waypoint.Type = WaypointType.Start
            elif idx == waypointCt - 2:
                waypoint.Type = WaypointType.End
            elif idx < waypointCt - 2 and ridedata["moving"][idx+1] and inPause:
                waypoint.Type = WaypointType.Resume
                inPause = False
            elif idx < waypointCt - 2 and not ridedata["moving"][idx+1] and not inPause:
                waypoint.Type = WaypointType.Pause
                inPause = True

            if hasHR:
                waypoint.HR = ridedata["heartrate"][idx]
            if hasCadence:
                waypoint.Cadence = ridedata["cadence"][idx]
            if hasTemp:
                waypoint.Temp = ridedata["temp"][idx]
            if hasPower:
                waypoint.Power = ridedata["watts"][idx]
            if hasVelocity:
                waypoint.Speed = ridedata["velocity_smooth"][idx]
            if hasDistance:
                waypoint.Distance = ridedata["distance"][idx]
            lap.Waypoints.append(waypoint)

        return activity

# 需要导入模块: from tapiriik.services.interchange import Waypoint [as 别名]
# 或者: from tapiriik.services.interchange.Waypoint import Distance [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 Waypoint [as 别名]
# 或者: from tapiriik.services.interchange.Waypoint import Distance [as 别名]
    def DownloadActivity(self, svcRecord, activity):

        activityID = activity.ServiceData["ActivityID"]
        extID = svcRecord.ExternalID
        url = self.SingletrackerDomain + "getRideData"

        payload = {"userId": extID, "rideId": activityID}
        headers = {
            'content-type': "application/json",
            'cache-control': "no-cache",
        }
        streamdata = requests.post(url, data=json.dumps(payload), headers=headers)
        if streamdata.status_code == 500:
            raise APIException("Internal server error")

        if streamdata.status_code == 403:
            raise APIException("No authorization to download activity", block=True,
                               user_exception=UserException(UserExceptionType.Authorization,
                                                            intervention_required=True))
        if streamdata.status_code != 200:
            raise APIException("Unknown Singletracker response %d %s" % (streamdata.status_code, streamdata.text))

        try:
            streamdata = streamdata.json()
        except:
            raise APIException("Stream data returned is not JSON")

        ridedata = {}

        lap = Lap(stats=activity.Stats, startTime=activity.StartTime,
                  endTime=activity.EndTime)  # Singletracker doesn't support laps, but we need somewhere to put the waypoints.
        activity.Laps = [lap]
        lap.Waypoints = []

        wayPointExist = False

        for stream in streamdata:
            waypoint = Waypoint(dateutil.parser.parse(stream["time"], ignoretz=True))

            if "latitude" in stream:
                if "longitude" in stream:
                    latitude = stream["latitude"]
                    longitude = stream["longitude"]
                    waypoint.Location = Location(latitude, longitude, None)
                    if waypoint.Location.Longitude == 0 and waypoint.Location.Latitude == 0:
                        waypoint.Location.Longitude = None
                        waypoint.Location.Latitude = None

            if "elevation" in stream:
                if not waypoint.Location:
                    waypoint.Location = Location(None, None, None)
                waypoint.Location.Altitude = stream["elevation"]

            if "distance" in stream:
                waypoint.Distance = stream["distance"]
            if "speed" in stream:
                waypoint.Speed = stream["speed"]
            waypoint.Type = WaypointType.Regular
            lap.Waypoints.append(waypoint)

        return activity

# 需要导入模块: from tapiriik.services.interchange import Waypoint [as 别名]
# 或者: from tapiriik.services.interchange.Waypoint import Distance [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.........