def DownloadActivity(self, svcRecord, activity):
userID = svcRecord.ExternalID
activity_id = activity.ServiceData["ActivityID"]
logging.info("\t\t FITBIT LOADING : " + str(activity_id))
activity_tcx_uri = 'https://api.fitbit.com/1/user/' + userID + '/activities/' + str(activity_id) + '.tcx'
resp = self._requestWithAuth(lambda session: session.get(
activity_tcx_uri,
headers={
'Authorization': 'Bearer ' + svcRecord.Authorization.get('AccessToken')
}), svcRecord)
# check if request has error
if resp.status_code != 204 and resp.status_code != 200:
raise APIException("Unable to find Fitbit TCX activity")
# Prepare tcxio params
ns = copy.deepcopy(TCXIO.Namespaces)
ns["tcx"] = ns[None]
del ns[None]
# Read tcx to know if this is a stationary activity or not
try:
root = etree.XML(resp.text.encode('utf-8'))
except:
root = etree.fromstring(resp.text.encode('utf-8'))
xacts = root.find("tcx:Activities", namespaces=ns)
if xacts is None:
raise ValueError("No activities element in TCX")
xact = xacts.find("tcx:Activity", namespaces=ns)
if xact is None:
raise ValueError("No activity element in TCX")
# Define activity type from tcx
if not activity.Type or activity.Type == ActivityType.Other:
if xact.attrib["Sport"] == "Biking":
activity.Type = ActivityType.Cycling
elif xact.attrib["Sport"] == "Running":
activity.Type = ActivityType.Running
# Find all lap in tcx
xlaps = xact.findall("tcx:Lap", namespaces=ns)
if len(xlaps) > 0:
activity = TCXIO.Parse(resp.text.encode('utf-8'), activity)
else:
# Define lap for activity
lap = Lap(stats=activity.Stats, startTime=activity.StartTime, endTime=activity.EndTime)
activity.Laps = [lap]
lap.Waypoints = []
activity.GPS = False
activity.Stationary = len(lap.Waypoints) == 0
return activity
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"]
if "error" in ridedata:
raise APIException("Strava error " + ridedata["error"])
activity.Laps = []
res = requests.get("https://www.strava.com/api/v3/activities/{}".format(activityID), headers=self._apiHeaders(svcRecord))
activityDetails = res.json()
activity.Notes = activityDetails["description"]
lapsdata = activityDetails["laps"]
for lapdata in lapsdata:
lapWaypoints, lapStats = self._process_lap_waypoints(activity, ridedata, lapdata)
lapStart = pytz.utc.localize(datetime.strptime(lapdata["start_date"], "%Y-%m-%dT%H:%M:%SZ"))
lapEnd = lapStart + timedelta(0, lapdata["elapsed_time"])
lap = Lap(startTime=lapStart, endTime=lapEnd)
lap.Waypoints = lapWaypoints
# In single-lap case lap stats needs to match global stats
lap.Stats = activity.Stats if len(lapsdata) == 1 else lapStats
activity.Laps.append(lap)
return activity
def DownloadActivity(self, serviceRecord, activity):
act = self._getActivity(serviceRecord, activity)
recordingKeys = act.get('recordingKeys')
if act['source'] == 'manual' or not recordingKeys:
# it's a manually entered run, can't get much info
activity.Stationary = True
activity.Laps = [Lap(startTime=activity.StartTime, endTime=activity.EndTime, stats=activity.Stats)]
return activity
# FIXME: technically it could still be stationary if there are no long/lat values...
activity.Stationary = False
if not act['laps']:
# no laps, just make one big lap
activity.Laps = [Lap(startTime=activity.StartTime, endTime=activity.EndTime, stats=activity.Stats)]
startTime = activity.StartTime
for lapRecord in act['laps']:
endTime = activity.StartTime + timedelta(seconds=lapRecord['endDuration'])
lap = Lap(startTime=startTime, endTime=endTime)
activity.Laps.append(lap)
startTime = endTime + timedelta(seconds=1)
for value in zip(*act['recordingValues']):
record = dict(zip(recordingKeys, value))
ts = activity.StartTime + timedelta(seconds=record['clock'])
if 'latitude' in record:
alt = record.get('elevation')
lat = record['latitude']
lon = record['longitude']
# Smashrun seems to replace missing measurements with -1
if lat == -1:
lat = None
if lon == -1:
lon = None
location = Location(lat=lat, lon=lon, alt=alt)
hr = record.get('heartRate')
runCadence = record.get('cadence')
temp = record.get('temperature')
distance = record.get('distance') * 1000
wp = Waypoint(timestamp=ts, location=location, hr=hr,
runCadence=runCadence, temp=temp,
distance=distance)
# put the waypoint inside the lap it corresponds to
for lap in activity.Laps:
if lap.StartTime <= wp.Timestamp <= lap.EndTime:
lap.Waypoints.append(wp)
break
return activity
def DownloadActivity(self, serviceRecord, activity):
resp = self._oauthSession(serviceRecord).get("https://api.endomondo.com/api/1/workouts/%d" % activity.ServiceData["WorkoutID"], params={"fields": "points"})
try:
resp = resp.json()
except ValueError:
self._rateLimitBailout(resp)
res_txt = resp.text
raise APIException("Parse failure in Endomondo activity download: %s" % resp.status_code)
lap = Lap(stats=activity.Stats, startTime=activity.StartTime, endTime=activity.EndTime)
activity.Laps = [lap]
activity.GPS = False
old_location = None
in_pause = False
for pt in resp["points"]:
wp = Waypoint()
if "time" not in pt:
# Manually-entered activities with a course attached to them have date-less waypoints
# It'd be nice to transfer those courses, but it's a concept few other sites support AFAIK
# So, ignore the points entirely
continue
wp.Timestamp = self._parseDate(pt["time"])
if ("lat" in pt and "lng" in pt) or "alt" in pt:
wp.Location = Location()
if "lat" in pt and "lng" in pt:
wp.Location.Latitude = pt["lat"]
wp.Location.Longitude = pt["lng"]
activity.GPS = True
if "alt" in pt:
wp.Location.Altitude = pt["alt"]
if wp.Location == old_location:
# We have seen the point with the same coordinates
# before. This causes other services (e.g Strava) to
# interpret this as if we were standing for a while,
# which causes us having wrong activity time when
# importing. We mark the point as paused in hopes this
# fixes the issue.
in_pause = True
wp.Type = WaypointType.Pause
elif in_pause:
in_pause = False
wp.Type = WaypointType.Resume
old_location = wp.Location
if "hr" in pt:
wp.HR = pt["hr"]
if "cad" in pt:
wp.Cadence = pt["cad"]
if "pow" in pt:
wp.Power = pt["pow"]
lap.Waypoints.append(wp)
activity.Stationary = len(lap.Waypoints) == 0
return activity
def _populateActivityWaypoints(self, rawData, activity):
''' populate the Waypoints collection from pulsstory API data '''
lap = Lap(stats=activity.Stats, startTime=activity.StartTime, endTime=activity.EndTime)
activity.Laps = [lap]
streamData = {}
self._convertList(streamData, "heart_rate", rawData, "HeartRate")
self._convertList(streamData, "distance", rawData, "Distance")
self._convertList(streamData, "speed", rawData, "Speed")
self._convertList(streamData, "power", rawData, "Power")
self._convertList(streamData, "cadence", rawData, "Cadence")
self._convertPathList(streamData, "path", rawData)
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)
StreamSampler.SampleWithCallback(_addWaypoint, streamData)
activity.Stationary = len(lap.Waypoints) == 0
activity.GPS = any(wp.Location and wp.Location.Longitude is not None and wp.Location.Latitude is not None for wp in lap.Waypoints)
if not activity.Stationary:
lap.Waypoints[0].Type = WaypointType.Start
lap.Waypoints[-1].Type = WaypointType.End
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]
streamData = {}
for stream in ["path", "heart_rate", "calories", "distance"]:
if stream in rawData and len(rawData[stream]):
if stream == "path":
# The path stream doesn't follow the same naming convention, so we cheat and put everything in.
streamData[stream] = [(x["timestamp"], x) for x in rawData[stream]]
else:
streamData[stream] = [(x["timestamp"], x[stream]) for x in rawData[stream]] # Change up format for StreamSampler
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)
activity.Stationary = len(lap.Waypoints) == 0
if not activity.Stationary:
lap.Waypoints[0].Type = WaypointType.Start
lap.Waypoints[-1].Type = WaypointType.End
StreamSampler.SampleWithCallback(_addWaypoint, streamData)
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
def DownloadActivity(self, serviceRecord, activity):
activityID = activity.ServiceData["ActivityID"]
logger.debug("DownloadActivity %s" % activityID)
lap = Lap(stats=activity.Stats,
startTime=activity.StartTime,
endTime=activity.EndTime)
activity.Laps = [lap]
lap.Waypoints = []
response = requests.get("https://api.mapmyfitness.com/v7.1/workout/" +
activityID + "/?field_set=time_series",
headers=self._apiHeaders(serviceRecord))
data = response.json()
activity.GPS = False
activity.Stationary = True
# add waypoints to laps
if "time_series" in data and "position" in data["time_series"]:
activity.Stationary = False
for pt in data["time_series"]["position"]:
timestamp = pt[0]
wp = Waypoint(activity.StartTime +
timedelta(seconds=round(timestamp)))
pos = pt[1]
if ("lat" in pos and "lng" in pos) or "elevation" in pos:
wp.Location = Location()
if "lat" in pos and "lng" in pos:
wp.Location.Latitude = pos["lat"]
wp.Location.Longitude = pos["lng"]
activity.GPS = True
if "elevation" in pos:
wp.Location.Altitude = pos["elevation"]
lap.Waypoints.append(wp)
return activity
def DownloadActivity(self, serviceRecord, activity):
resp = self._oauthSession(serviceRecord).get(
"https://api.endomondo.com/api/1/workouts/%d" %
activity.ServiceData["WorkoutID"],
params={"fields": "points"})
try:
resp = resp.json()
except ValueError:
self._rateLimitBailout(resp)
res_txt = resp.text
raise APIException(
"Parse failure in Endomondo activity download: %s" %
resp.status_code)
lap = Lap(stats=activity.Stats,
startTime=activity.StartTime,
endTime=activity.EndTime)
activity.Laps = [lap]
activity.GPS = False
for pt in resp["points"]:
wp = Waypoint()
if "time" not in pt:
# Manually-entered activities with a course attached to them have date-less waypoints
# It'd be nice to transfer those courses, but it's a concept few other sites support AFAIK
# So, ignore the points entirely
continue
wp.Timestamp = self._parseDate(pt["time"])
if ("lat" in pt and "lng" in pt) or "alt" in pt:
wp.Location = Location()
if "lat" in pt and "lng" in pt:
wp.Location.Latitude = pt["lat"]
wp.Location.Longitude = pt["lng"]
activity.GPS = True
if "alt" in pt:
wp.Location.Altitude = pt["alt"]
if "hr" in pt:
wp.HR = pt["hr"]
if "cad" in pt:
wp.Cadence = pt["cad"]
lap.Waypoints.append(wp)
activity.Stationary = len(lap.Waypoints) == 0
return activity
def DownloadActivity(self, serviceRecord, activity):
workoutID = activity.ServiceData["WorkoutID"]
logger.debug("DownloadActivity for %s" % workoutID)
session = self._get_session(record=serviceRecord)
resp = session.get(self._urlRoot + "/api/workout/%d" % workoutID)
try:
res = resp.json()
except ValueError:
raise APIException(
"Parse failure in Motivato activity (%d) download: %s" %
(workoutID, res.text))
lap = Lap(stats=activity.Stats,
startTime=activity.StartTime,
endTime=activity.EndTime)
activity.Laps = [lap]
activity.GPS = False
if "track" in res and "points" in res["track"]:
for pt in res["track"]["points"]:
wp = Waypoint()
if "moment" not in pt:
continue
wp.Timestamp = self._parseDateTime(pt["moment"])
if ("lat" in pt and "lon" in pt) or "ele" in pt:
wp.Location = Location()
if "lat" in pt and "lon" in pt:
wp.Location.Latitude = pt["lat"]
wp.Location.Longitude = pt["lon"]
activity.GPS = True
if "ele" in pt:
wp.Location.Altitude = float(pt["ele"])
if "bpm" in pt:
wp.HR = pt["bpm"]
lap.Waypoints.append(wp)
activity.Stationary = len(lap.Waypoints) == 0
return activity
def DownloadActivity(self, serviceRecord, activity):
resp = self._oauthSession(serviceRecord).get(
"https://api.endomondo.com/api/1/workouts/%d" %
activity.ServiceData["WorkoutID"],
params={"fields": "points"})
try:
resp = resp.json()
except ValueError:
res_txt = resp.text
raise APIException(
"Parse failure in Endomondo activity download: %s" %
resp.status_code)
lap = Lap(stats=activity.Stats,
startTime=activity.StartTime,
endTime=activity.EndTime)
activity.Laps = [lap]
activity.GPS = False
for pt in resp["points"]:
wp = Waypoint()
wp.Timestamp = self._parseDate(pt["time"])
if ("lat" in pt and "lng" in pt) or "alt" in pt:
wp.Location = Location()
if "lat" in pt and "lng" in pt:
wp.Location.Latitude = pt["lat"]
wp.Location.Longitude = pt["lng"]
activity.GPS = True
if "alt" in pt:
wp.Location.Altitude = pt["alt"]
if "hr" in pt:
wp.HR = pt["hr"]
if "cad" in pt:
wp.Cadence = pt["cad"]
lap.Waypoints.append(wp)
activity.Stationary = len(lap.Waypoints) == 0
return activity
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)):
values.append((activityData[stream][x * 2],
activityData[stream][x * 2 + 1]))
stream_values[stream] = values
currentOffset = 0
def streamVal(stream):
nonlocal stream_values, stream_indices
return stream_values[stream][stream_indices[stream]][1]
def hasStreamData(stream):
nonlocal stream_indices, streams
return stream in streams and stream_indices[stream] >= 0
while True:
advance_stream = None
advance_offset = None
for stream in streams:
if stream_indices[stream] + 1 == stream_lengths[stream]:
continue # We're at the end - can't advance
if advance_offset is None or stream_values[stream][
stream_indices[stream] +
1][0] - currentOffset < advance_offset:
advance_offset = stream_values[stream][
stream_indices[stream] + 1][0] - currentOffset
advance_stream = stream
if not advance_stream:
break # We've hit the end of every stream, stop
# Advance streams sharing the current timestamp
for stream in streams:
if stream == advance_stream:
continue # For clarity, we increment this later
if stream_indices[stream] + 1 == stream_lengths[stream]:
continue # We're at the end - can't advance
if stream_values[stream][
stream_indices[stream] +
1][0] == stream_values[advance_stream][
stream_indices[advance_stream] + 1][0]:
stream_indices[stream] += 1
stream_indices[
advance_stream] += 1 # Advance the key stream for this waypoint
currentOffset = stream_values[advance_stream][stream_indices[
advance_stream]][0] # Update the current time offset
waypoint = Waypoint(activity.StartTime +
timedelta(seconds=currentOffset))
if hasStreamData("location"):
waypoint.Location = Location(
streamVal("location")[0],
streamVal("location")[1], None)
activity.GPS = True
if returnFirstLocation:
return waypoint.Location
if hasStreamData("elevation"):
if not waypoint.Location:
waypoint.Location = Location(None, None, None)
waypoint.Location.Altitude = streamVal("elevation")
if hasStreamData("heartrate"):
waypoint.HR = streamVal("heartrate")
if hasStreamData("power"):
waypoint.Power = streamVal("power")
if hasStreamData("cadence"):
waypoint.Cadence = streamVal("cadence")
if hasStreamData("distance"):
waypoint.Distance = streamVal("distance")
inPause = isInTimerStop(waypoint.Timestamp)
waypoint.Type = WaypointType.Regular if not inPause else WaypointType.Pause
if wasInPause and not inPause:
waypoint.Type = WaypointType.Resume
wasInPause = inPause
# We only care if it's possible to start a new lap, i.e. there are more left
if currentLapIdx + 1 < len(laps_starts):
if laps_starts[currentLapIdx + 1] < waypoint.Timestamp:
# A new lap has started
currentLapIdx += 1
lap = activity.Laps[currentLapIdx]
lap.Waypoints.append(waypoint)
if returnFirstLocation:
return None # I guess there were no waypoints?
if activity.CountTotalWaypoints():
activity.GetFlatWaypoints()[0].Type = WaypointType.Start
activity.GetFlatWaypoints()[-1].Type = WaypointType.End
activity.Stationary = False
else:
activity.Stationary = True
return activity
def _downloadActivitySummary(self, serviceRecord, activity):
activityID = activity.ServiceData["ActivityID"]
session = self._get_session(record=serviceRecord)
self._rate_limit()
res = session.get("http://connect.garmin.com/proxy/activity-service-1.3/json/activity/" + str(activityID))
try:
raw_data = res.json()
except ValueError:
raise APIException("Failure downloading activity summary %s:%s" % (res.status_code, res.text))
stat_map = {}
def mapStat(gcKey, statKey, type):
stat_map[gcKey] = {
"key": statKey,
"attr": type
}
def applyStats(gc_dict, stats_obj):
for gc_key, stat in stat_map.items():
if gc_key in gc_dict:
value = float(gc_dict[gc_key]["value"])
units = self._unitMap[gc_dict[gc_key]["uom"]]
if math.isinf(value):
continue # GC returns the minimum speed as "-Infinity" instead of 0 some times :S
getattr(stats_obj, stat["key"]).update(ActivityStatistic(units, **({stat["attr"]: value})))
mapStat("SumMovingDuration", "MovingTime", "value")
mapStat("SumDuration", "TimerTime", "value")
mapStat("SumDistance", "Distance", "value")
mapStat("MinSpeed", "Speed", "min")
mapStat("MaxSpeed", "Speed", "max")
mapStat("WeightedMeanSpeed", "Speed", "avg")
mapStat("MinAirTemperature", "Temperature", "min")
mapStat("MaxAirTemperature", "Temperature", "max")
mapStat("WeightedMeanAirTemperature", "Temperature", "avg")
mapStat("SumEnergy", "Energy", "value")
mapStat("MaxHeartRate", "HR", "max")
mapStat("WeightedMeanHeartRate", "HR", "avg")
mapStat("MaxDoubleCadence", "RunCadence", "max")
mapStat("WeightedMeanDoubleCadence", "RunCadence", "avg")
mapStat("MaxBikeCadence", "Cadence", "max")
mapStat("WeightedMeanBikeCadence", "Cadence", "avg")
mapStat("MinPower", "Power", "min")
mapStat("MaxPower", "Power", "max")
mapStat("WeightedMeanPower", "Power", "avg")
mapStat("MinElevation", "Elevation", "min")
mapStat("MaxElevation", "Elevation", "max")
mapStat("GainElevation", "Elevation", "gain")
mapStat("LossElevation", "Elevation", "loss")
applyStats(raw_data["activity"]["activitySummary"], activity.Stats)
for lap_data in raw_data["activity"]["totalLaps"]["lapSummaryList"]:
lap = Lap()
if "BeginTimestamp" in lap_data:
lap.StartTime = pytz.utc.localize(datetime.utcfromtimestamp(float(lap_data["BeginTimestamp"]["value"]) / 1000))
if "EndTimestamp" in lap_data:
lap.EndTime = pytz.utc.localize(datetime.utcfromtimestamp(float(lap_data["EndTimestamp"]["value"]) / 1000))
elapsed_duration = None
if "SumElapsedDuration" in lap_data:
elapsed_duration = timedelta(seconds=round(float(lap_data["SumElapsedDuration"]["value"])))
elif "SumDuration" in lap_data:
elapsed_duration = timedelta(seconds=round(float(lap_data["SumDuration"]["value"])))
if lap.StartTime and elapsed_duration:
# Always recalculate end time based on duration, if we have the start time
lap.EndTime = lap.StartTime + elapsed_duration
if not lap.StartTime and lap.EndTime and elapsed_duration:
# Sometimes calculate start time based on duration
lap.StartTime = lap.EndTime - elapsed_duration
if not lap.StartTime or not lap.EndTime:
# Garmin Connect is weird.
raise APIExcludeActivity("Activity lap has no BeginTimestamp or EndTimestamp", userException=UserException(UserExceptionType.Corrupt))
applyStats(lap_data, lap.Stats)
activity.Laps.append(lap)
# In Garmin Land, max can be smaller than min for this field :S
if activity.Stats.Power.Max is not None and activity.Stats.Power.Min is not None and activity.Stats.Power.Min > activity.Stats.Power.Max:
activity.Stats.Power.Min = None
def DownloadActivity(self, svcRecord, activity):
service_id = svcRecord._id
user = db.users.find_one({
'ConnectedServices': {
'$elemMatch': {
'ID': service_id,
'Service': self.ID
}
}
})
userID = svcRecord.ExternalID
oauth_token = svcRecord.Authorization.get('OAuthToken')
user_access_token = svcRecord.Authorization.get('AccessToken')
user_access_token_secret = svcRecord.Authorization.get(
'AccessTokenSecret')
logging.info("\t Building signin for activity detail")
user_tokens = {
'access_token': user_access_token,
'access_token_secret': user_access_token_secret,
'oauth_token': oauth_token
}
payload = ""
start_date = datetime.now() - timedelta(days=1)
end_date = start_date + timedelta(seconds=86400)
start_date_tmstmp = str(int(start_date.timestamp()))
end_date_tmstmp = str(int(end_date.timestamp()))
start_date_str = start_date.strftime("%Y-%m-%d")
end_date_str = end_date.strftime("%Y-%m-%d")
signin_parameters = {
'upload_start_time': start_date_tmstmp,
'upload_end_time': end_date_tmstmp,
}
signin_info = self._request_signin('GET',
self.URI_ACTIVITIES_DETAIL,
user_tokens,
parameters=signin_parameters)
resp = requests.request("GET",
signin_info['path'],
data=payload,
headers=signin_info['header'])
if resp.status_code != 204 and resp.status_code != 200:
logging.info(
"\t An error occured while downloading Garmin Health activities from %s to %s "
% (start_date_str, end_date_str))
json_data = resp.json()
activity_id = activity.ServiceData["ActivityID"]
activity_detail_id = activity_id + '-detail'
if json_data:
for item in json_data:
if activity_detail_id == item['summaryId']:
lapsdata = []
if "laps" in item:
for lap in item['laps']:
lapsdata.append(lap['startTimeInSeconds'])
ridedata = {}
lapWaypoints = []
startTimeLap = activity.StartTime
endTimeLap = activity.EndTime
if "samples" in item:
activity.GPS = True
activity.Stationary = False
for pt in item['samples']:
wp = Waypoint()
delta = int(pt.get('clockDurationInSeconds'))
dateStartPoint = int(pt.get('startTimeInSeconds'))
dateStartPointDt = datetime.utcfromtimestamp(
dateStartPoint)
wp.Timestamp = dateStartPointDt
wp.Location = Location()
if "latitudeInDegree" in pt:
wp.Location.Latitude = float(
pt.get('latitudeInDegree'))
if "longitudeInDegree" in pt:
wp.Location.Longitude = float(
pt.get('longitudeInDegree'))
if "elevationInMeters" in pt:
wp.Location.Altitude = int(
pt.get('elevationInMeters'))
if "totalDistanceInMeters" in pt:
wp.Distance = int(
pt.get('totalDistanceInMeters'))
if "speedMetersPerSecond" in pt:
wp.Speed = int(pt.get('speedMetersPerSecond'))
if "heartRate" in pt:
wp.HR = int(pt.get('heartRate'))
# current sample is = to lap occur , so store current nap and build a new one
if dateStartPoint in lapsdata:
lap = Lap(stats=activity.Stats,
startTime=startTimeLap,
endTime=dateStartPointDt)
lap.Waypoints = lapWaypoints
activity.Laps.append(lap)
# re init a new lap
startTimeLap = datetime.utcfromtimestamp(
dateStartPoint)
lapWaypoints = []
# add occur
lapWaypoints.append(wp)
# build last lap
if len(lapWaypoints) > 0:
lap = Lap(stats=activity.Stats,
startTime=startTimeLap,
endTime=endTimeLap)
lap.Waypoints = lapWaypoints
activity.Laps.append(lap)
else:
activity.Laps = [
Lap(startTime=activity.StartTime,
endTime=activity.EndTime,
stats=activity.Stats)
]
break
return activity
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
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
waypoint = Waypoint(activity.StartTime + timedelta(0, activityData["location"][idx]))
waypoint.Location = Location(activityData["location"][idx+1][0], activityData["location"][idx+1][1], None)
if "elevation" in parallel_indices:
waypoint.Location.Altitude = activityData["elevation"][parallel_indices["elevation"]+1]
if returnFirstLocation:
return waypoint.Location
if "heartrate" in parallel_indices:
waypoint.HR = activityData["heartrate"][parallel_indices["heartrate"]+1]
if "power" in parallel_indices:
waypoint.Power = activityData["power"][parallel_indices["power"]+1]
if "cadence" in parallel_indices:
waypoint.Cadence = activityData["cadence"][parallel_indices["cadence"]+1]
if "distance" in parallel_indices:
waypoint.Distance = activityData["distance"][parallel_indices["distance"]+1]
inPause = isInTimerStop(waypoint.Timestamp)
waypoint.Type = WaypointType.Regular if not inPause else WaypointType.Pause
if wasInPause and not inPause:
waypoint.Type = WaypointType.Resume
wasInPause = inPause
# We only care if it's possible to start a new lap, i.e. there are more left
if currentLapIdx + 1 < len(laps_starts):
if laps_starts[currentLapIdx + 1] < waypoint.Timestamp:
# A new lap has started
currentLapIdx += 1
lap = activity.Laps[currentLapIdx]
lap.Waypoints.append(waypoint)
if returnFirstLocation:
return None # I guess there were no waypoints?
if activity.CountTotalWaypoints():
activity.Laps[0].Waypoints[0].Type = WaypointType.Start
activity.Laps[-1].Waypoints[-1].Type = WaypointType.End
return activity
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 = self._requestWithAuth(lambda session: session.get("https://www.strava.com/api/v3/activities/" + str(activityID) + "/streams/time,altitude,heartrate,cadence,watts,temp,moving,latlng,distance,velocity_smooth"), 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
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"]
self._globalRateLimit()
streamdata = requests.get("https://www.strava.com/api/v3/activities/" + str(activityID) + "/streams/time,altitude,heartrate,cadence,watts,temp,moving,latlng", 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
if "error" in ridedata:
raise APIException("Strava error " + ridedata["error"])
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])
if idx == 0:
waypoint.Type = WaypointType.Start
elif idx == waypointCt - 2:
waypoint.Type = WaypointType.End
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]
lap.Waypoints.append(waypoint)
return activity
def _downloadActivitySummary(self, serviceRecord, activity):
activityID = activity.ServiceData["ActivityID"]
summary_resp = self._request_with_reauth(lambda session: session.get("https://connect.garmin.com/modern/proxy/activity-service/activity/" + str(activityID)), serviceRecord)
try:
summary_data = summary_resp.json()
except ValueError:
raise APIException("Failure downloading activity summary %s:%s" % (summary_resp.status_code, summary_resp.text))
stat_map = {}
def mapStat(gcKey, statKey, type, units):
stat_map[gcKey] = {
"key": statKey,
"attr": type,
"units": units
}
def applyStats(gc_dict, stats_obj):
for gc_key, stat in stat_map.items():
if gc_key in gc_dict:
value = float(gc_dict[gc_key])
if math.isinf(value):
continue # GC returns the minimum speed as "-Infinity" instead of 0 some times :S
getattr(stats_obj, stat["key"]).update(ActivityStatistic(stat["units"], **({stat["attr"]: value})))
mapStat("movingDuration", "MovingTime", "value", ActivityStatisticUnit.Seconds)
mapStat("duration", "TimerTime", "value", ActivityStatisticUnit.Seconds)
mapStat("distance", "Distance", "value", ActivityStatisticUnit.Meters)
mapStat("maxSpeed", "Speed", "max", ActivityStatisticUnit.MetersPerSecond)
mapStat("averageSpeed", "Speed", "avg", ActivityStatisticUnit.MetersPerSecond)
mapStat("calories", "Energy", "value", ActivityStatisticUnit.Kilocalories)
mapStat("maxHR", "HR", "max", ActivityStatisticUnit.BeatsPerMinute)
mapStat("averageHR", "HR", "avg", ActivityStatisticUnit.BeatsPerMinute)
mapStat("minElevation", "Elevation", "min", ActivityStatisticUnit.Meters)
mapStat("maxElevation", "Elevation", "max", ActivityStatisticUnit.Meters)
mapStat("elevationGain", "Elevation", "gain", ActivityStatisticUnit.Meters)
mapStat("elevationLoss", "Elevation", "loss", ActivityStatisticUnit.Meters)
mapStat("averageBikeCadence", "Cadence", "avg", ActivityStatisticUnit.RevolutionsPerMinute)
mapStat("averageCadence", "Cadence", "avg", ActivityStatisticUnit.StepsPerMinute)
applyStats(summary_data["summaryDTO"], activity.Stats)
laps_resp = self._request_with_reauth(lambda session: session.get("https://connect.garmin.com/modern/proxy/activity-service/activity/%s/splits" % str(activityID)), serviceRecord)
try:
laps_data = laps_resp.json()
except ValueError:
raise APIException("Failure downloading activity laps summary %s:%s" % (laps_resp.status_code, laps_resp.text))
for lap_data in laps_data["lapDTOs"]:
lap = Lap()
if "startTimeGMT" in lap_data:
lap.StartTime = pytz.utc.localize(datetime.strptime(lap_data["startTimeGMT"], "%Y-%m-%dT%H:%M:%S.0"))
elapsed_duration = None
if "elapsedDuration" in lap_data:
elapsed_duration = timedelta(seconds=round(float(lap_data["elapsedDuration"])))
elif "duration" in lap_data:
elapsed_duration = timedelta(seconds=round(float(lap_data["duration"])))
if lap.StartTime and elapsed_duration:
# Always recalculate end time based on duration, if we have the start time
lap.EndTime = lap.StartTime + elapsed_duration
if not lap.StartTime and lap.EndTime and elapsed_duration:
# Sometimes calculate start time based on duration
lap.StartTime = lap.EndTime - elapsed_duration
if not lap.StartTime or not lap.EndTime:
# Garmin Connect is weird.
raise APIExcludeActivity("Activity lap has no BeginTimestamp or EndTimestamp", user_exception=UserException(UserExceptionType.Corrupt))
applyStats(lap_data, lap.Stats)
activity.Laps.append(lap)
# In Garmin Land, max can be smaller than min for this field :S
if activity.Stats.Power.Max is not None and activity.Stats.Power.Min is not None and activity.Stats.Power.Min > activity.Stats.Power.Max:
activity.Stats.Power.Min = None
def DownloadActivity(self, svcRecord, activity):
activityID = activity.ServiceData["ActivityID"]
logging.info("\t\t DC LOADING : " + str(activityID))
headers = self._getAuthHeaders(svcRecord)
self._rate_limit()
resp = requests.get(DECATHLON_API_BASE_URL + "/activity/" +
activityID + "/fullactivity.xml",
headers=headers)
if resp.status_code == 401:
raise APIException("No authorization to download activity",
block=True,
user_exception=UserException(
UserExceptionType.Authorization,
intervention_required=True))
try:
root = xml.fromstring(resp.content)
except:
raise APIException(
"Stream data returned from Decathlon is not XML")
activity.GPS = False
activity.Stationary = True
#work on date
startdate = root.find('.//STARTDATE').text
timezone = root.find('.//TIMEZONE').text
datebase = parse(startdate + timezone)
ridedata = {}
ridedataindex = []
for pt in root.iter('LOCATION'):
delta = int(pt.get('elapsed_time'))
ridedataindex.append(delta)
ridedata[delta] = {}
if activityID == 'eu2132ac60d9a40a1d9a':
logging.info('========time : ' + str(delta))
logging.info('========lat : ' +
str(float(pt.find('LATITUDE').text[:8])))
ridedata[delta]['LATITUDE'] = float(pt.find('LATITUDE').text[:8])
ridedata[delta]['LONGITUDE'] = float(pt.find('LONGITUDE').text[:8])
ridedata[delta]['ELEVATION'] = int(pt.find('ELEVATION').text[:8])
if len(ridedata) > 0:
activity.GPS = True
activity.Stationary = False
for measure in root.iter('MEASURE'):
delta = int(measure.get('elapsed_time'))
if delta not in ridedataindex:
ridedataindex.append(delta)
ridedata[delta] = {}
for measureValue in measure.iter('VALUE'):
if measureValue.get('id') == "1":
ridedata[delta]['HR'] = int(measureValue.text)
if measureValue.get('id') == "6":
ridedata[delta]['SPEED'] = int(measureValue.text)
if measureValue.get('id') == "5":
ridedata[delta]['DISTANCE'] = int(measureValue.text)
if measureValue.get('id') == "20":
ridedata[delta]['LAP'] = int(measureValue.text)
ridedataindex.sort()
if len(ridedata) == 0:
lap = Lap(stats=activity.Stats,
startTime=activity.StartTime,
endTime=activity.EndTime)
activity.Laps = [lap]
else:
lapWaypoints = []
startTimeLap = activity.StartTime
for elapsedTime in ridedataindex:
rd = ridedata[elapsedTime]
wp = Waypoint()
delta = elapsedTime
formatedDate = datebase + timedelta(seconds=delta)
wp.Timestamp = formatedDate #self._parseDate(formatedDate.isoformat())
if 'LATITUDE' in rd:
wp.Location = Location()
wp.Location.Latitude = rd['LATITUDE']
wp.Location.Longitude = rd['LONGITUDE']
wp.Location.Altitude = rd['ELEVATION']
if 'HR' in rd:
wp.HR = rd['HR']
if 'SPEED' in rd:
wp.Speed = rd['SPEED'] / 3600
if 'DISTANCE' in rd:
wp.Distance = rd['DISTANCE']
lapWaypoints.append(wp)
if "LAP" in rd:
#build the lap
lap = Lap(stats=activity.Stats,
startTime=startTimeLap,
endTime=formatedDate)
lap.Waypoints = lapWaypoints
activity.Laps.append(lap)
# re init a new lap
startTimeLap = formatedDate
lapWaypoints = []
#build last lap
if len(lapWaypoints) > 0:
lap = Lap(stats=activity.Stats,
startTime=startTimeLap,
endTime=formatedDate)
lap.Waypoints = lapWaypoints
activity.Laps.append(lap)
return activity
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", headers=self._apiHeaders(svcRecord))
if streamdata.status_code == 401:
self._logAPICall("download", (svcRecord.ExternalID, str(activity.StartTime)), "auth")
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":
self._logAPICall("download", (svcRecord.ExternalID, str(activity.StartTime)), "missing")
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
hasMovingData = "moving" in ridedata and len(ridedata["moving"]) > 0
moving = True
if "error" in ridedata:
self._logAPICall("download", (svcRecord.ExternalID, str(activity.StartTime)), "data")
raise APIException("Strava error " + ridedata["error"])
hasLocation = False
waypointCt = len(ridedata["time"])
for idx in range(0, waypointCt - 1):
latlng = ridedata["latlng"][idx]
waypoint = Waypoint(activity.StartTime + timedelta(0, ridedata["time"][idx]))
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
else: # strava only returns 0 as invalid coords, so no need to check for null (update: ??)
hasLocation = True
if hasAltitude:
waypoint.Location.Altitude = float(ridedata["altitude"][idx])
if idx == 0:
waypoint.Type = WaypointType.Start
elif idx == waypointCt - 2:
waypoint.Type = WaypointType.End
elif hasMovingData and not moving and ridedata["moving"][idx] is True:
waypoint.Type = WaypointType.Resume
moving = True
elif hasMovingData and ridedata["moving"][idx] is False:
waypoint.Type = WaypointType.Pause
moving = False
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]
lap.Waypoints.append(waypoint)
if not hasLocation:
self._logAPICall("download", (svcRecord.ExternalID, str(activity.StartTime)), "faulty")
raise APIExcludeActivity("No waypoints with location", activityId=activityID, userException=UserException(UserExceptionType.Corrupt))
self._logAPICall("download", (svcRecord.ExternalID, str(activity.StartTime)), None)
return activity
def create_random_activity(svc=None, actType=ActivityType.Other, tz=False, record=None, withPauses=True, withLaps=True):
''' creates completely random activity with valid waypoints and data '''
act = TestTools.create_blank_activity(svc, actType, record=record)
if tz is True:
tz = pytz.timezone(pytz.all_timezones[random.randint(0, len(pytz.all_timezones) - 1)])
act.TZ = tz
elif tz is not False:
act.TZ = tz
if act.CountTotalWaypoints() > 0:
raise ValueError("Waypoint list already populated")
# this is entirely random in case the testing account already has events in it (API doesn't support delete, etc)
act.StartTime = datetime(random.randint(2000, 2020), random.randint(1, 12), random.randint(1, 28), random.randint(0, 23), random.randint(0, 59), random.randint(0, 59))
if tz is not False:
if hasattr(tz, "localize"):
act.StartTime = tz.localize(act.StartTime)
else:
act.StartTime = act.StartTime.replace(tzinfo=tz)
act.EndTime = act.StartTime + timedelta(0, random.randint(60 * 5, 60 * 60)) # don't really need to upload 1000s of pts to test this...
act.Stats.Distance = ActivityStatistic(ActivityStatisticUnit.Meters, value=random.random() * 10000)
act.Name = str(random.random())
paused = False
waypointTime = act.StartTime
backToBackPauses = False
act.Laps = []
lap = Lap(startTime=act.StartTime)
while waypointTime < act.EndTime:
wp = Waypoint()
if waypointTime == act.StartTime:
wp.Type = WaypointType.Start
wp.Timestamp = waypointTime
wp.Location = Location(random.random() * 180 - 90, random.random() * 180 - 90, random.random() * 1000) # this is gonna be one intense activity
if not (wp.HR == wp.Cadence == wp.Calories == wp.Power == wp.Temp == None):
raise ValueError("Waypoint did not initialize cleanly")
if svc.SupportsHR:
wp.HR = float(random.randint(90, 180))
if svc.SupportsPower:
wp.Power = float(random.randint(0, 1000))
if svc.SupportsCalories:
wp.Calories = float(random.randint(0, 500))
if svc.SupportsCadence:
wp.Cadence = float(random.randint(0, 100))
if svc.SupportsTemp:
wp.Temp = float(random.randint(0, 100))
if withPauses and (random.randint(40, 50) == 42 or backToBackPauses) and not paused: # pause quite often
wp.Type = WaypointType.Pause
paused = True
elif paused:
paused = False
wp.Type = WaypointType.Resume
backToBackPauses = not backToBackPauses
waypointTime += timedelta(0, int(random.random() + 9.5)) # 10ish seconds
lap.Waypoints.append(wp)
if waypointTime > act.EndTime:
wp.Timestamp = act.EndTime
wp.Type = WaypointType.End
elif withLaps and wp.Timestamp < act.EndTime and random.randint(40, 60) == 42:
# occasionally start new laps
lap.EndTime = wp.Timestamp
act.Laps.append(lap)
lap = Lap(startTime=waypointTime)
# Final lap
lap.EndTime = act.EndTime
act.Laps.append(lap)
if act.CountTotalWaypoints() == 0:
raise ValueError("No waypoints populated")
act.CalculateUID()
act.EnsureTZ()
return act
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
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
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",
headers=self._apiHeaders(svcRecord))
if streamdata.status_code == 401:
self._logAPICall("download",
(svcRecord.ExternalID, str(activity.StartTime)),
"auth")
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":
self._logAPICall("download",
(svcRecord.ExternalID, str(activity.StartTime)),
"missing")
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
hasMovingData = "moving" in ridedata and len(ridedata["moving"]) > 0
moving = True
if "error" in ridedata:
self._logAPICall("download",
(svcRecord.ExternalID, str(activity.StartTime)),
"data")
raise APIException("Strava error " + ridedata["error"])
hasLocation = False
waypointCt = len(ridedata["time"])
for idx in range(0, waypointCt - 1):
latlng = ridedata["latlng"][idx]
waypoint = Waypoint(activity.StartTime +
timedelta(0, ridedata["time"][idx]))
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
else: # strava only returns 0 as invalid coords, so no need to check for null (update: ??)
hasLocation = True
if hasAltitude:
waypoint.Location.Altitude = float(ridedata["altitude"][idx])
if idx == 0:
waypoint.Type = WaypointType.Start
elif idx == waypointCt - 2:
waypoint.Type = WaypointType.End
elif hasMovingData and not moving and ridedata["moving"][
idx] is True:
waypoint.Type = WaypointType.Resume
moving = True
elif hasMovingData and ridedata["moving"][idx] is False:
waypoint.Type = WaypointType.Pause
moving = False
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]
lap.Waypoints.append(waypoint)
if not hasLocation:
self._logAPICall("download",
(svcRecord.ExternalID, str(activity.StartTime)),
"faulty")
raise APIExcludeActivity("No waypoints with location",
activityId=activityID,
userException=UserException(
UserExceptionType.Corrupt))
self._logAPICall("download",
(svcRecord.ExternalID, str(activity.StartTime)), None)
return activity
def _downloadActivitySummary(self, serviceRecord, activity):
activityID = activity.ServiceData["ActivityID"]
summary_resp = self._request_with_reauth(lambda session: session.get("https://connect.garmin.com/modern/proxy/activity-service/activity/" + str(activityID)), serviceRecord)
try:
summary_data = summary_resp.json()
except ValueError:
raise APIException("Failure downloading activity summary %s:%s" % (summary_resp.status_code, summary_resp.text))
stat_map = {}
def mapStat(gcKey, statKey, type, units):
stat_map[gcKey] = {
"key": statKey,
"attr": type,
"units": units
}
def applyStats(gc_dict, stats_obj):
for gc_key, stat in stat_map.items():
if gc_key in gc_dict:
value = float(gc_dict[gc_key])
if math.isinf(value):
continue # GC returns the minimum speed as "-Infinity" instead of 0 some times :S
getattr(stats_obj, stat["key"]).update(ActivityStatistic(stat["units"], **({stat["attr"]: value})))
mapStat("movingDuration", "MovingTime", "value", ActivityStatisticUnit.Seconds)
mapStat("duration", "TimerTime", "value", ActivityStatisticUnit.Seconds)
mapStat("distance", "Distance", "value", ActivityStatisticUnit.Meters)
mapStat("maxSpeed", "Speed", "max", ActivityStatisticUnit.MetersPerSecond)
mapStat("averageSpeed", "Speed", "avg", ActivityStatisticUnit.MetersPerSecond)
mapStat("calories", "Energy", "value", ActivityStatisticUnit.Kilocalories)
mapStat("maxHR", "HR", "max", ActivityStatisticUnit.BeatsPerMinute)
mapStat("averageHR", "HR", "avg", ActivityStatisticUnit.BeatsPerMinute)
mapStat("minElevation", "Elevation", "min", ActivityStatisticUnit.Meters)
mapStat("maxElevation", "Elevation", "max", ActivityStatisticUnit.Meters)
mapStat("elevationGain", "Elevation", "gain", ActivityStatisticUnit.Meters)
mapStat("elevationLoss", "Elevation", "loss", ActivityStatisticUnit.Meters)
mapStat("averageBikeCadence", "Cadence", "avg", ActivityStatisticUnit.RevolutionsPerMinute)
mapStat("averageCadence", "Cadence", "avg", ActivityStatisticUnit.StepsPerMinute)
applyStats(summary_data["summaryDTO"], activity.Stats)
laps_resp = self._request_with_reauth(lambda session: session.get("https://connect.garmin.com/modern/proxy/activity-service/activity/%s/splits" % str(activityID)), serviceRecord)
try:
laps_data = laps_resp.json()
except ValueError:
raise APIException("Failure downloading activity laps summary %s:%s" % (laps_resp.status_code, laps_resp.text))
for lap_data in laps_data["lapDTOs"]:
lap = Lap()
if "startTimeGMT" in lap_data:
lap.StartTime = pytz.utc.localize(datetime.strptime(lap_data["startTimeGMT"], "%Y-%m-%dT%H:%M:%S.0"))
elapsed_duration = None
if "elapsedDuration" in lap_data:
elapsed_duration = timedelta(seconds=round(float(lap_data["elapsedDuration"])))
elif "duration" in lap_data:
elapsed_duration = timedelta(seconds=round(float(lap_data["duration"])))
if lap.StartTime and elapsed_duration:
# Always recalculate end time based on duration, if we have the start time
lap.EndTime = lap.StartTime + elapsed_duration
if not lap.StartTime and lap.EndTime and elapsed_duration:
# Sometimes calculate start time based on duration
lap.StartTime = lap.EndTime - elapsed_duration
if not lap.StartTime or not lap.EndTime:
# Garmin Connect is weird.
raise APIExcludeActivity("Activity lap has no BeginTimestamp or EndTimestamp", user_exception=UserException(UserExceptionType.Corrupt))
applyStats(lap_data, lap.Stats)
activity.Laps.append(lap)
# In Garmin Land, max can be smaller than min for this field :S
if activity.Stats.Power.Max is not None and activity.Stats.Power.Min is not None and activity.Stats.Power.Min > activity.Stats.Power.Max:
activity.Stats.Power.Min = None
def DownloadActivity(self, svcRecord, activity):
activityID = activity.ServiceData["ActivityID"]
logger.info("\t\t DC LOADING : " + str(activityID))
headers = self._getAuthHeaders(svcRecord)
resp = requests.get(self.ApiEndpoint + "/activity/" + activityID +
"/fullactivity.xml",
headers=headers)
if resp.status_code == 401:
raise APIException("No authorization to download activity",
block=True,
user_exception=UserException(
UserExceptionType.Authorization,
intervention_required=True))
try:
root = xml.fromstring(resp.content)
except:
raise APIException(
"Stream data returned from DecathlonCoach is not XML")
lap = Lap(stats=activity.Stats,
startTime=activity.StartTime,
endTime=activity.EndTime)
activity.Laps = [lap]
lap.Waypoints = []
activity.GPS = False
#work on date
startdate = root.find('.//STARTDATE').text
timezone = root.find('.//TIMEZONE').text
datebase = parse(startdate + timezone)
for pt in root.iter('LOCATION'):
wp = Waypoint()
delta = int(pt.get('elapsed_time'))
formatedDate = datebase + timedelta(seconds=delta)
wp.Timestamp = formatedDate #self._parseDate(formatedDate.isoformat())
wp.Location = Location()
wp.Location.Latitude = float(pt.find('LATITUDE').text[:8])
wp.Location.Longitude = float(pt.find('LONGITUDE').text[:8])
activity.GPS = True
wp.Location.Altitude = int(pt.find('ELEVATION').text[:8])
#get the HR value in the Datastream node and measures collection
for hr in root.iter('MEASURE'):
if pt.get('elapsed_time') == hr.get('elapsed_time'):
for measureValue in hr.iter('VALUE'):
if measureValue.get('id') == "1":
wp.HR = int(measureValue.text)
break
break
lap.Waypoints.append(wp)
activity.Stationary = len(lap.Waypoints) == 0
return activity
def _downloadActivitySummary(self, serviceRecord, activity):
activityID = activity.ServiceData["ActivityID"]
res = self._request_with_reauth(
serviceRecord, lambda session: session.
get("https://connect.garmin.com/modern/proxy/activity-service-1.3/json/activity/"
+ str(activityID)))
try:
raw_data = res.json()
except ValueError:
raise APIException("Failure downloading activity summary %s:%s" %
(res.status_code, res.text))
stat_map = {}
def mapStat(gcKey, statKey, type):
stat_map[gcKey] = {"key": statKey, "attr": type}
def applyStats(gc_dict, stats_obj):
for gc_key, stat in stat_map.items():
if gc_key in gc_dict:
value = float(gc_dict[gc_key]["value"])
units = self._unitMap[gc_dict[gc_key]["uom"]]
if math.isinf(value):
continue # GC returns the minimum speed as "-Infinity" instead of 0 some times :S
getattr(stats_obj, stat["key"]).update(
ActivityStatistic(units, **({
stat["attr"]: value
})))
mapStat("SumMovingDuration", "MovingTime", "value")
mapStat("SumDuration", "TimerTime", "value")
mapStat("SumDistance", "Distance", "value")
mapStat("MinSpeed", "Speed", "min")
mapStat("MaxSpeed", "Speed", "max")
mapStat("WeightedMeanSpeed", "Speed", "avg")
mapStat("MinAirTemperature", "Temperature", "min")
mapStat("MaxAirTemperature", "Temperature", "max")
mapStat("WeightedMeanAirTemperature", "Temperature", "avg")
mapStat("SumEnergy", "Energy", "value")
mapStat("MaxHeartRate", "HR", "max")
mapStat("WeightedMeanHeartRate", "HR", "avg")
mapStat("MaxDoubleCadence", "RunCadence", "max")
mapStat("WeightedMeanDoubleCadence", "RunCadence", "avg")
mapStat("MaxBikeCadence", "Cadence", "max")
mapStat("WeightedMeanBikeCadence", "Cadence", "avg")
mapStat("MinPower", "Power", "min")
mapStat("MaxPower", "Power", "max")
mapStat("WeightedMeanPower", "Power", "avg")
mapStat("MinElevation", "Elevation", "min")
mapStat("MaxElevation", "Elevation", "max")
mapStat("GainElevation", "Elevation", "gain")
mapStat("LossElevation", "Elevation", "loss")
applyStats(raw_data["activity"]["activitySummary"], activity.Stats)
for lap_data in raw_data["activity"]["totalLaps"]["lapSummaryList"]:
lap = Lap()
if "BeginTimestamp" in lap_data:
lap.StartTime = pytz.utc.localize(
datetime.utcfromtimestamp(
float(lap_data["BeginTimestamp"]["value"]) / 1000))
if "EndTimestamp" in lap_data:
lap.EndTime = pytz.utc.localize(
datetime.utcfromtimestamp(
float(lap_data["EndTimestamp"]["value"]) / 1000))
elapsed_duration = None
if "SumElapsedDuration" in lap_data:
elapsed_duration = timedelta(seconds=round(
float(lap_data["SumElapsedDuration"]["value"])))
elif "SumDuration" in lap_data:
elapsed_duration = timedelta(
seconds=round(float(lap_data["SumDuration"]["value"])))
if lap.StartTime and elapsed_duration:
# Always recalculate end time based on duration, if we have the start time
lap.EndTime = lap.StartTime + elapsed_duration
if not lap.StartTime and lap.EndTime and elapsed_duration:
# Sometimes calculate start time based on duration
lap.StartTime = lap.EndTime - elapsed_duration
if not lap.StartTime or not lap.EndTime:
# Garmin Connect is weird.
raise APIExcludeActivity(
"Activity lap has no BeginTimestamp or EndTimestamp",
user_exception=UserException(UserExceptionType.Corrupt))
applyStats(lap_data, lap.Stats)
activity.Laps.append(lap)
# In Garmin Land, max can be smaller than min for this field :S
if activity.Stats.Power.Max is not None and activity.Stats.Power.Min is not None and activity.Stats.Power.Min > activity.Stats.Power.Max:
activity.Stats.Power.Min = None
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)):
values.append((activityData[stream][x * 2], activityData[stream][x * 2 + 1]))
stream_values[stream] = values
currentOffset = 0
def streamVal(stream):
nonlocal stream_values, stream_indices
return stream_values[stream][stream_indices[stream]][1]
def hasStreamData(stream):
nonlocal stream_indices, streams
return stream in streams and stream_indices[stream] >= 0
while True:
advance_stream = None
advance_offset = None
for stream in streams:
if stream_indices[stream] + 1 == stream_lengths[stream]:
continue # We're at the end - can't advance
if advance_offset is None or stream_values[stream][stream_indices[stream] + 1][0] - currentOffset < advance_offset:
advance_offset = stream_values[stream][stream_indices[stream] + 1][0] - currentOffset
advance_stream = stream
if not advance_stream:
break # We've hit the end of every stream, stop
# Advance streams sharing the current timestamp
for stream in streams:
if stream == advance_stream:
continue # For clarity, we increment this later
if stream_indices[stream] + 1 == stream_lengths[stream]:
continue # We're at the end - can't advance
if stream_values[stream][stream_indices[stream] + 1][0] == stream_values[advance_stream][stream_indices[advance_stream] + 1][0]:
stream_indices[stream] += 1
stream_indices[advance_stream] += 1 # Advance the key stream for this waypoint
currentOffset = stream_values[advance_stream][stream_indices[advance_stream]][0] # Update the current time offset
waypoint = Waypoint(activity.StartTime + timedelta(seconds=currentOffset))
if hasStreamData("location"):
waypoint.Location = Location(streamVal("location")[0], streamVal("location")[1], None)
activity.GPS = True
if returnFirstLocation:
return waypoint.Location
if hasStreamData("elevation"):
if not waypoint.Location:
waypoint.Location = Location(None, None, None)
waypoint.Location.Altitude = streamVal("elevation")
if hasStreamData("heartrate"):
waypoint.HR = streamVal("heartrate")
if hasStreamData("power"):
waypoint.Power = streamVal("power")
if hasStreamData("cadence"):
waypoint.Cadence = streamVal("cadence")
if hasStreamData("distance"):
waypoint.Distance = streamVal("distance")
inPause = isInTimerStop(waypoint.Timestamp)
waypoint.Type = WaypointType.Regular if not inPause else WaypointType.Pause
if wasInPause and not inPause:
waypoint.Type = WaypointType.Resume
wasInPause = inPause
# We only care if it's possible to start a new lap, i.e. there are more left
if currentLapIdx + 1 < len(laps_starts):
if laps_starts[currentLapIdx + 1] < waypoint.Timestamp:
# A new lap has started
currentLapIdx += 1
lap = activity.Laps[currentLapIdx]
lap.Waypoints.append(waypoint)
if returnFirstLocation:
return None # I guess there were no waypoints?
if activity.CountTotalWaypoints():
activity.GetFlatWaypoints()[0].Type = WaypointType.Start
activity.GetFlatWaypoints()[-1].Type = WaypointType.End
activity.Stationary = False
else:
activity.Stationary = True
return activity
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: # Ok
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
def _populate_sbr_activity(self, api_sbr_activity, usersettings):
# Example JSON feed (unimportant fields have been removed)
# [{
# "EventId": 63128401, # Internal ID
# "EventType": 3, # Swim (3), bike (1), or run (2)
# "EventDate": "4/22/2016",
# "EventTime": "7:44 AM", # User's time, time zone not specified
# "Planned": false, # Training plan or actual data
# "TotalMinutes": 34.97,
# "TotalKilometers": 1.55448,
# "AverageHeartRate": 125,
# "MinimumHeartRate": 100,
# "MaximumHeartRate": 150,
# "MemberId": 999999,
# "MemberUsername": "******",
# "HasDeviceUpload": true,
# "DeviceUploadFile": "http://beginnertriathlete.com/discussion/storage/workouts/555555/abcd-123.fit",
# "RouteName": "", # Might contain a description of the event
# "Comments": "", # Same as above. Not overly often used.
# }, ... ]
activity = UploadedActivity()
workout_id = api_sbr_activity["EventId"]
eventType = api_sbr_activity["EventType"]
eventDate = api_sbr_activity["EventDate"]
eventTime = api_sbr_activity["EventTime"]
totalMinutes = api_sbr_activity["TotalMinutes"]
totalKms = api_sbr_activity["TotalKilometers"]
averageHr = api_sbr_activity["AverageHeartRate"]
minimumHr = api_sbr_activity["MinimumHeartRate"]
maximumHr = api_sbr_activity["MaximumHeartRate"]
deviceUploadFile = api_sbr_activity["DeviceUploadFile"]
# Basic SBR data does not include GPS or sensor data. If this event originated from a device upload,
# DownloadActivity will find it.
activity.Stationary = True
# Same as above- The data might be there, but it's not supplied in the basic activity feed.
activity.GPS = False
activity.Private = usersettings["Privacy"]
activity.Type = self._workoutTypeMappings[str(eventType)]
# Get the user's timezone from their profile. (Activity.TZ should be mentioned in the object hierarchy docs?)
# Question: I believe if DownloadActivity finds device data, it will overwrite this. Which is OK with me.
# The device data will most likely be more accurate.
try:
activity.TZ = pytz.timezone(usersettings["TimeZone"])
except pytz.exceptions.UnknownTimeZoneError:
activity.TZ = pytz.timezone(self._serverDefaultTimezone)
# activity.StartTime and EndTime aren't mentioned in the object hierarchy docs, but I see them
# set in all the other providers.
activity.StartTime = dateutil.parser.parse(
eventDate + " " + eventTime,
dayfirst=False).replace(tzinfo=activity.TZ)
activity.EndTime = activity.StartTime + timedelta(minutes=totalMinutes)
# We can calculate some metrics from the supplied data. Would love to see some non-source code documentation
# on each statistic and what it expects as input.
activity.Stats.Distance = ActivityStatistic(ActivityStatisticUnit.Kilometers,
value=totalKms)
activity.Stats.HR = ActivityStatistic(ActivityStatisticUnit.BeatsPerMinute,
avg=float(averageHr),
min=float(minimumHr),
max=float(maximumHr))
activity.Stats.MovingTime = ActivityStatistic(ActivityStatisticUnit.Seconds,
value=float(totalMinutes * 60))
activity.Stats.TimerTime = ActivityStatistic(ActivityStatisticUnit.Seconds,
value=float(totalMinutes * 60))
# While BT does support laps, the current API doesn't report on them - a limitation that may need to be
# corrected in a future update. For now, treat manual entries as a single lap. As more and more people upload
# workouts using devices anyway, this probably matters much less than it once did.
lap = Lap(stats=activity.Stats, startTime=activity.StartTime, endTime=activity.EndTime)
activity.Laps = [lap]
# Not 100% positive how this is utilized, but it is common for all providers. Detects duplicate downloads?
activity.CalculateUID()
# If a device file is attached, we'll get more details about this event in DownloadActivity
activity.ServiceData = {
"ID": int(workout_id),
"DeviceUploadFile": deviceUploadFile
}
return activity
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"]
self._globalRateLimit()
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
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.TimerTime = 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:
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
def create_random_activity(svc=None,
actType=ActivityType.Other,
tz=False,
record=None,
withPauses=True,
withLaps=True):
''' creates completely random activity with valid waypoints and data '''
act = TestTools.create_blank_activity(svc, actType, record=record)
if tz is True:
tz = pytz.timezone("America/Atikokan")
act.TZ = tz
elif tz is not False:
act.TZ = tz
if act.CountTotalWaypoints() > 0:
raise ValueError("Waypoint list already populated")
# this is entirely random in case the testing account already has events in it (API doesn't support delete, etc)
act.StartTime = datetime(2011, 12, 13, 14, 15, 16)
if tz is not False:
if hasattr(tz, "localize"):
act.StartTime = tz.localize(act.StartTime)
else:
act.StartTime = act.StartTime.replace(tzinfo=tz)
act.EndTime = act.StartTime + timedelta(
0, random.randint(60 * 5, 60 * 60)
) # don't really need to upload 1000s of pts to test this...
act.Stats.Distance = ActivityStatistic(ActivityStatisticUnit.Meters,
value=random.random() * 10000)
act.Name = str(random.random())
paused = False
waypointTime = act.StartTime
backToBackPauses = False
act.Laps = []
lap = Lap(startTime=act.StartTime)
while waypointTime < act.EndTime:
wp = Waypoint()
if waypointTime == act.StartTime:
wp.Type = WaypointType.Start
wp.Timestamp = waypointTime
wp.Location = Location(
random.random() * 180 - 90,
random.random() * 180 - 90,
random.random() *
1000) # this is gonna be one intense activity
if not (wp.HR == wp.Cadence == wp.Calories == wp.Power == wp.Temp
== None):
raise ValueError("Waypoint did not initialize cleanly")
if svc.SupportsHR:
wp.HR = float(random.randint(90, 180))
if svc.SupportsPower:
wp.Power = float(random.randint(0, 1000))
if svc.SupportsCalories:
wp.Calories = float(random.randint(0, 500))
if svc.SupportsCadence:
wp.Cadence = float(random.randint(0, 100))
if svc.SupportsTemp:
wp.Temp = float(random.randint(0, 100))
if withPauses and (random.randint(40, 50) == 42 or backToBackPauses
) and not paused: # pause quite often
wp.Type = WaypointType.Pause
paused = True
elif paused:
paused = False
wp.Type = WaypointType.Resume
backToBackPauses = not backToBackPauses
waypointTime += timedelta(0, int(random.random() +
9.5)) # 10ish seconds
lap.Waypoints.append(wp)
if waypointTime > act.EndTime:
wp.Timestamp = act.EndTime
wp.Type = WaypointType.End
elif withLaps and wp.Timestamp < act.EndTime and random.randint(
40, 60) == 42:
# occasionally start new laps
lap.EndTime = wp.Timestamp
act.Laps.append(lap)
lap = Lap(startTime=waypointTime)
# Final lap
lap.EndTime = act.EndTime
act.Laps.append(lap)
if act.CountTotalWaypoints() == 0:
raise ValueError("No waypoints populated")
act.CalculateUID()
act.EnsureTZ()
return act
def _downloadActivitySummary(self, serviceRecord, activity):
activityID = activity.ServiceData["ActivityID"]
cookies = self._get_cookies(record=serviceRecord)
self._rate_limit()
res = requests.get("https://connect.garmin.com/proxy/activity-service-1.3/json/activity/" + str(activityID), cookies=cookies)
try:
raw_data = res.json()
except ValueError:
raise APIException("Failure downloading activity summary %s:%s" % (res.status_code, res.text))
stat_map = {}
def mapStat(gcKey, statKey, type):
stat_map[gcKey] = {
"key": statKey,
"attr": type
}
def applyStats(gc_dict, stats_obj):
for gc_key, stat in stat_map.items():
if gc_key in gc_dict:
value = float(gc_dict[gc_key]["value"])
units = self._unitMap[gc_dict[gc_key]["uom"]]
if math.isinf(value):
continue # GC returns the minimum speed as "-Infinity" instead of 0 some times :S
getattr(stats_obj, stat["key"]).update(ActivityStatistic(units, **({stat["attr"]: value})))
mapStat("SumMovingDuration", "MovingTime", "value")
mapStat("SumDuration", "TimerTime", "value")
mapStat("SumDistance", "Distance", "value")
mapStat("MinSpeed", "Speed", "min")
mapStat("MaxSpeed", "Speed", "max")
mapStat("WeightedMeanSpeed", "Speed", "avg")
mapStat("MinAirTemperature", "Temperature", "min")
mapStat("MaxAirTemperature", "Temperature", "max")
mapStat("WeightedMeanAirTemperature", "Temperature", "avg")
mapStat("SumEnergy", "Energy", "value")
mapStat("MaxHeartRate", "HR", "max")
mapStat("WeightedMeanHeartRate", "HR", "avg")
mapStat("MaxDoubleCadence", "RunCadence", "max")
mapStat("WeightedMeanDoubleCadence", "RunCadence", "avg")
mapStat("MaxBikeCadence", "Cadence", "max")
mapStat("WeightedMeanBikeCadence", "Cadence", "avg")
mapStat("MinPower", "Power", "min")
mapStat("MaxPower", "Power", "max")
mapStat("WeightedMeanPower", "Power", "avg")
mapStat("MinElevation", "Elevation", "min")
mapStat("MaxElevation", "Elevation", "max")
mapStat("GainElevation", "Elevation", "gain")
mapStat("LossElevation", "Elevation", "loss")
applyStats(raw_data["activity"]["activitySummary"], activity.Stats)
for lap_data in raw_data["activity"]["totalLaps"]["lapSummaryList"]:
lap = Lap()
lap.StartTime = pytz.utc.localize(datetime.utcfromtimestamp(float(lap_data["BeginTimestamp"]["value"]) / 1000))
lap.EndTime = pytz.utc.localize(datetime.utcfromtimestamp(float(lap_data["EndTimestamp"]["value"]) / 1000))
applyStats(lap_data, lap.Stats)
activity.Laps.append(lap)
# In Garmin Land, max can be smaller than min for this field :S
if activity.Stats.Power.Max is not None and activity.Stats.Power.Min is not None and activity.Stats.Power.Min > activity.Stats.Power.Max:
activity.Stats.Power.Min = None