def DownloadActivityList(self, svcRecord, exhaustive=False):
activities = []
exclusions = []
now = datetime.now()
prev = now - timedelta(6 * 365 / 12)
period = []
aperiod = "%s%02d-%s%02d" % (prev.year, prev.month, now.year,
now.month)
period.append(aperiod)
if exhaustive:
for _ in range(20):
now = prev
prev = now - timedelta(6 * 365 / 12)
aperiod = "%s%02d-%s%02d" % (prev.year, prev.month, now.year,
now.month)
period.append(aperiod)
for dateInterval in period:
headers = self._getAuthHeaders(svcRecord)
resp = requests.get(DECATHLONCOACH_API_BASE_URL + "/users/" +
str(svcRecord.ExternalID) +
"/activities.xml?date=" + dateInterval,
headers=headers)
if resp.status_code == 400:
logger.info(resp.content)
raise APIException(
"No authorization to retrieve activity list",
block=True,
user_exception=UserException(
UserExceptionType.Authorization,
intervention_required=True))
if resp.status_code == 401:
logger.info(resp.content)
raise APIException(
"No authorization to retrieve activity list",
block=True,
user_exception=UserException(
UserExceptionType.Authorization,
intervention_required=True))
if resp.status_code == 403:
logger.info(resp.content)
raise APIException(
"No authorization to retrieve activity list",
block=True,
user_exception=UserException(
UserExceptionType.Authorization,
intervention_required=True))
root = xml.fromstring(resp.content)
logger.info("\t\t nb activity : " +
str(len(root.findall('.//ID'))))
for ride in root.iter('ACTIVITY'):
activity = UploadedActivity()
activity.TZ = pytz.timezone("UTC")
startdate = ride.find('.//STARTDATE').text + ride.find(
'.//TIMEZONE').text
datebase = parse(startdate)
activity.StartTime = datebase #pytz.utc.localize(datebase)
activity.ServiceData = {
"ActivityID": ride.find('ID').text,
"Manual": ride.find('MANUAL').text
}
logger.info("\t\t DecathlonCoach Activity ID : " +
ride.find('ID').text)
if ride.find('SPORTID'
).text not in self._reverseActivityTypeMappings:
exclusions.append(
APIExcludeActivity("Unsupported activity type %s" %
ride.find('SPORTID').text,
activity_id=ride.find('ID').text,
user_exception=UserException(
UserExceptionType.Other)))
logger.info(
"\t\tDecathlonCoach Unknown activity, sport id " +
ride.find('SPORTID').text + " is not mapped")
continue
activity.Type = self._reverseActivityTypeMappings[ride.find(
'SPORTID').text]
for val in ride.iter('VALUE'):
if val.get('id') == self._unitMap["duration"]:
activity.EndTime = activity.StartTime + timedelta(
0, int(val.text))
if val.get('id') == self._unitMap["distance"]:
activity.Stats.Distance = ActivityStatistic(
ActivityStatisticUnit.Meters, value=int(val.text))
if val.get('id') == self._unitMap["kcal"]:
activity.Stats.Energy = ActivityStatistic(
ActivityStatisticUnit.Kilocalories,
value=int(val.text))
if val.get('id') == self._unitMap["speedaverage"]:
meterperhour = int(val.text)
meterpersecond = meterperhour / 3600
activity.Stats.Speed = ActivityStatistic(
ActivityStatisticUnit.MetersPerSecond,
avg=meterpersecond,
max=None)
if ride.find('LIBELLE'
).text == "" or ride.find('LIBELLE').text is None:
txtdate = startdate.split(' ')
activity.Name = "Sport DecathlonCoach " + txtdate[0]
else:
activity.Name = ride.find('LIBELLE').text
activity.Private = False
activity.Stationary = ride.find('MANUAL').text
activity.GPS = ride.find('ABOUT').find('TRACK').text
activity.AdjustTZ()
activity.CalculateUID()
activities.append(activity)
return activities, exclusions
def DownloadActivityList(self, serviceRecord, exhaustive=False):
oauthSession = self._oauthSession(serviceRecord)
activities = []
exclusions = []
page_url = "https://api.endomondo.com/api/1/workouts"
while True:
resp = oauthSession.get(page_url)
try:
respList = resp.json()["data"]
except ValueError:
self._rateLimitBailout(resp)
raise APIException("Error decoding activity list resp %s %s" %
(resp.status_code, resp.text))
for actInfo in respList:
activity = UploadedActivity()
activity.StartTime = self._parseDate(actInfo["start_time"])
logger.debug("Activity s/t %s" % activity.StartTime)
if "is_tracking" in actInfo and actInfo["is_tracking"]:
exclusions.append(
APIExcludeActivity(
"Not complete",
activity_id=actInfo["id"],
permanent=False,
user_exception=UserException(
UserExceptionType.LiveTracking)))
continue
if "end_time" in actInfo:
activity.EndTime = self._parseDate(actInfo["end_time"])
if actInfo["sport"] in self._activityMappings:
activity.Type = self._activityMappings[actInfo["sport"]]
# "duration" is timer time
if "duration_total" in actInfo:
activity.Stats.TimerTime = ActivityStatistic(
ActivityStatisticUnit.Seconds,
value=float(actInfo["duration_total"]))
if "distance_total" in actInfo:
activity.Stats.Distance = ActivityStatistic(
ActivityStatisticUnit.Kilometers,
value=float(actInfo["distance_total"]))
if "calories_total" in actInfo:
activity.Stats.Energy = ActivityStatistic(
ActivityStatisticUnit.Kilocalories,
value=float(actInfo["calories_total"]))
activity.Stats.Elevation = ActivityStatistic(
ActivityStatisticUnit.Meters)
if "altitude_max" in actInfo:
activity.Stats.Elevation.Max = float(
actInfo["altitude_max"])
if "altitude_min" in actInfo:
activity.Stats.Elevation.Min = float(
actInfo["altitude_min"])
if "total_ascent" in actInfo:
activity.Stats.Elevation.Gain = float(
actInfo["total_ascent"])
if "total_descent" in actInfo:
activity.Stats.Elevation.Loss = float(
actInfo["total_descent"])
activity.Stats.Speed = ActivityStatistic(
ActivityStatisticUnit.KilometersPerHour)
if "speed_max" in actInfo:
activity.Stats.Speed.Max = float(actInfo["speed_max"])
if "heart_rate_avg" in actInfo:
activity.Stats.HR = ActivityStatistic(
ActivityStatisticUnit.BeatsPerMinute,
avg=float(actInfo["heart_rate_avg"]))
if "heart_rate_max" in actInfo:
activity.Stats.HR.update(
ActivityStatistic(ActivityStatisticUnit.BeatsPerMinute,
max=float(
actInfo["heart_rate_max"])))
if "cadence_avg" in actInfo:
activity.Stats.Cadence = ActivityStatistic(
ActivityStatisticUnit.RevolutionsPerMinute,
avg=int(actInfo["cadence_avg"]))
if "cadence_max" in actInfo:
activity.Stats.Cadence.update(
ActivityStatistic(
ActivityStatisticUnit.RevolutionsPerMinute,
max=int(actInfo["cadence_max"])))
if "title" in actInfo:
activity.Name = actInfo["title"]
activity.ServiceData = {
"WorkoutID": int(actInfo["id"]),
"Sport": actInfo["sport"]
}
activity.CalculateUID()
activities.append(activity)
paging = resp.json()["paging"]
if "next" not in paging or not paging["next"] or not exhaustive:
break
else:
page_url = paging["next"]
return activities, exclusions
def DownloadActivityList(self, serviceRecord, exhaustive=False):
headers = self._getAuthHeaders(serviceRecord)
activities = []
exclusions = []
pageUri = self.OpenFitEndpoint + "/fitnessActivities.json"
activity_tz_cache_raw = cachedb.sporttracks_meta_cache.find_one(
{"ExternalID": serviceRecord.ExternalID})
activity_tz_cache_raw = activity_tz_cache_raw if activity_tz_cache_raw else {
"Activities": []
}
activity_tz_cache = dict([(x["ActivityURI"], x["TZ"])
for x in activity_tz_cache_raw["Activities"]
])
while True:
logger.debug("Req against " + pageUri)
res = requests.get(pageUri, headers=headers)
try:
res = res.json()
except ValueError:
raise APIException(
"Could not decode activity list response %s %s" %
(res.status_code, res.text))
for act in res["items"]:
activity = UploadedActivity()
activity.ServiceData = {"ActivityURI": act["uri"]}
if len(act["name"].strip()):
activity.Name = act["name"]
# Longstanding ST.mobi bug causes it to return negative partial-hour timezones as "-2:-30" instead of "-2:30"
fixed_start_time = re.sub(r":-(\d\d)", r":\1",
act["start_time"])
activity.StartTime = dateutil.parser.parse(fixed_start_time)
if isinstance(activity.StartTime.tzinfo, tzutc):
activity.TZ = pytz.utc # The dateutil tzutc doesn't have an _offset value.
else:
activity.TZ = pytz.FixedOffset(
activity.StartTime.tzinfo.utcoffset(
activity.StartTime).total_seconds() / 60
) # Convert the dateutil lame timezones into pytz awesome timezones.
activity.StartTime = activity.StartTime.replace(
tzinfo=activity.TZ)
activity.EndTime = activity.StartTime + timedelta(
seconds=float(act["duration"]))
activity.Stats.TimerTime = ActivityStatistic(
ActivityStatisticUnit.Seconds,
value=float(act["duration"]
)) # OpenFit says this excludes paused times.
# Sometimes activities get returned with a UTC timezone even when they are clearly not in UTC.
if activity.TZ == pytz.utc:
if act["uri"] in activity_tz_cache:
activity.TZ = pytz.FixedOffset(
activity_tz_cache[act["uri"]])
else:
# So, we get the first location in the activity and calculate the TZ from that.
try:
firstLocation = self._downloadActivity(
serviceRecord,
activity,
returnFirstLocation=True)
except APIExcludeActivity:
pass
else:
try:
activity.CalculateTZ(firstLocation,
recalculate=True)
except:
# We tried!
pass
else:
activity.AdjustTZ()
finally:
activity_tz_cache[
act["uri"]] = activity.StartTime.utcoffset(
).total_seconds() / 60
logger.debug("Activity s/t " + str(activity.StartTime))
activity.Stats.Distance = ActivityStatistic(
ActivityStatisticUnit.Meters,
value=float(act["total_distance"]))
types = [x.strip().lower() for x in act["type"].split(":")]
types.reverse(
) # The incoming format is like "walking: hiking" and we want the most specific first
activity.Type = None
for type_key in types:
if type_key in self._activityMappings:
activity.Type = self._activityMappings[type_key]
break
if not activity.Type:
exclusions.append(
APIExcludeActivity("Unknown activity type %s" %
act["type"],
activity_id=act["uri"],
user_exception=UserException(
UserExceptionType.Other)))
continue
activity.CalculateUID()
activities.append(activity)
if not exhaustive or "next" not in res or not len(res["next"]):
break
else:
pageUri = res["next"]
logger.debug("Writing back meta cache")
cachedb.sporttracks_meta_cache.update(
{"ExternalID": serviceRecord.ExternalID}, {
"ExternalID":
serviceRecord.ExternalID,
"Activities": [{
"ActivityURI": k,
"TZ": v
} for k, v in activity_tz_cache.items()]
},
upsert=True)
return activities, exclusions
def DownloadActivityList(self, serviceRecord, exhaustive=False):
#http://connect.garmin.com/proxy/activity-search-service-1.0/json/activities?&start=0&limit=50
cookies = self._get_cookies(record=serviceRecord)
page = 1
pageSz = 100
activities = []
exclusions = []
while True:
logger.debug("Req with " + str({
"start": (page - 1) * pageSz,
"limit": pageSz
}))
self._rate_limit()
res = requests.get(
"http://connect.garmin.com/proxy/activity-search-service-1.0/json/activities",
params={
"start": (page - 1) * pageSz,
"limit": pageSz
},
cookies=cookies)
res = res.json()["results"]
if "activities" not in res:
break # No activities on this page - empty account.
for act in res["activities"]:
act = act["activity"]
if "sumDistance" not in act:
exclusions.append(
APIExcludeActivity("No distance",
activityId=act["activityId"],
userException=UserException(
UserExceptionType.Corrupt)))
continue
activity = UploadedActivity()
if "sumSampleCountSpeed" not in act and "sumSampleCountTimestamp" not in act: # Don't really know why sumSampleCountTimestamp doesn't appear in swim activities - they're definitely timestamped...
activity.Stationary = True
else:
activity.Stationary = False
try:
activity.TZ = pytz.timezone(act["activityTimeZone"]["key"])
except pytz.exceptions.UnknownTimeZoneError:
activity.TZ = pytz.FixedOffset(
float(act["activityTimeZone"]["offset"]) * 60)
logger.debug("Name " + act["activityName"]["value"] + ":")
if len(act["activityName"]["value"].strip(
)) and act["activityName"][
"value"] != "Untitled": # This doesn't work for internationalized accounts, oh well.
activity.Name = act["activityName"]["value"]
if len(act["activityDescription"]["value"].strip()):
activity.Notes = act["activityDescription"]["value"]
# beginTimestamp/endTimestamp is in UTC
activity.StartTime = pytz.utc.localize(
datetime.utcfromtimestamp(
float(act["beginTimestamp"]["millis"]) / 1000))
if "sumElapsedDuration" in act:
activity.EndTime = activity.StartTime + timedelta(
0, round(float(act["sumElapsedDuration"]["value"])))
elif "sumDuration" in act:
activity.EndTime = activity.StartTime + timedelta(
minutes=float(act["sumDuration"]
["minutesSeconds"].split(":")[0]),
seconds=float(act["sumDuration"]
["minutesSeconds"].split(":")[1]))
else:
activity.EndTime = pytz.utc.localize(
datetime.utcfromtimestamp(
float(act["endTimestamp"]["millis"]) / 1000))
logger.debug("Activity s/t " + str(activity.StartTime) +
" on page " + str(page))
activity.AdjustTZ()
# TODO: fix the distance stats to account for the fact that this incorrectly reported km instead of meters for the longest time.
activity.Stats.Distance = ActivityStatistic(
self._unitMap[act["sumDistance"]["uom"]],
value=float(act["sumDistance"]["value"]))
def mapStat(gcKey, statKey, type, useSourceUnits=False):
nonlocal activity, act
if gcKey in act:
value = float(act[gcKey]["value"])
if math.isinf(value):
return # GC returns the minimum speed as "-Infinity" instead of 0 some times :S
activity.Stats.__dict__[statKey].update(
ActivityStatistic(self._unitMap[act[gcKey]["uom"]],
**({
type: value
})))
if useSourceUnits:
activity.Stats.__dict__[
statKey] = activity.Stats.__dict__[
statKey].asUnits(
self._unitMap[act[gcKey]["uom"]])
if "sumMovingDuration" in act:
activity.Stats.MovingTime = ActivityStatistic(
ActivityStatisticUnit.Time,
value=timedelta(
seconds=float(act["sumMovingDuration"]["value"])))
if "sumDuration" in act:
activity.Stats.TimerTime = ActivityStatistic(
ActivityStatisticUnit.Time,
value=timedelta(
minutes=float(act["sumDuration"]
["minutesSeconds"].split(":")[0]),
seconds=float(act["sumDuration"]
["minutesSeconds"].split(":")[1])))
mapStat(
"minSpeed", "Speed", "min", useSourceUnits=True
) # We need to suppress conversion here, so we can fix the pace-speed issue below
mapStat("maxSpeed", "Speed", "max", useSourceUnits=True)
mapStat("weightedMeanSpeed",
"Speed",
"avg",
useSourceUnits=True)
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("maxRunCadence", "RunCadence", "max")
mapStat("weightedMeanRunCadence", "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")
# 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
# To get it to match what the user sees in GC.
if activity.Stats.RunCadence.Max is not None:
activity.Stats.RunCadence.Max *= 2
if activity.Stats.RunCadence.Average is not None:
activity.Stats.RunCadence.Average *= 2
# GC incorrectly reports pace measurements as kph/mph when they are in fact in min/km or min/mi
if "minSpeed" in act:
if ":" in act["minSpeed"][
"withUnitAbbr"] and activity.Stats.Speed.Min:
activity.Stats.Speed.Min = 60 / activity.Stats.Speed.Min
if "maxSpeed" in act:
if ":" in act["maxSpeed"][
"withUnitAbbr"] and activity.Stats.Speed.Max:
activity.Stats.Speed.Max = 60 / activity.Stats.Speed.Max
if "weightedMeanSpeed" in act:
if ":" in act["weightedMeanSpeed"][
"withUnitAbbr"] and activity.Stats.Speed.Average:
activity.Stats.Speed.Average = 60 / activity.Stats.Speed.Average
# Similarly, they do weird stuff with HR at times - %-of-max and zones
# ...and we can't just fix these, so we have to calculate it after the fact (blegh)
recalcHR = False
if "maxHeartRate" in act:
if "%" in act["maxHeartRate"]["withUnitAbbr"] or "z" in act[
"maxHeartRate"]["withUnitAbbr"]:
activity.Stats.HR.Max = None
recalcHR = True
if "weightedMeanHeartRate" in act:
if "%" in act["weightedMeanHeartRate"][
"withUnitAbbr"] or "z" in act[
"weightedMeanHeartRate"]["withUnitAbbr"]:
activity.Stats.HR.Average = None
recalcHR = True
activity.Type = self._resolveActivityType(
act["activityType"]["key"])
activity.CalculateUID()
activity.ServiceData = {
"ActivityID": act["activityId"],
"RecalcHR": recalcHR
}
activities.append(activity)
logger.debug("Finished page " + str(page) + " of " +
str(res["search"]["totalPages"]))
if not exhaustive or int(res["search"]["totalPages"]) == page:
break
else:
page += 1
return activities, exclusions
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 DownloadActivityList(self, svcRecord, exhaustive=False):
activities = []
exclusions = []
before = earliestDate = None
while True:
if before is not None and before < 0:
break # Caused by activities that "happened" before the epoch. We generally don't care about those activities...
logger.debug("Req with before=" + str(before) + "/" +
str(earliestDate))
self._globalRateLimit()
resp = requests.get("https://www.strava.com/api/v3/athletes/" +
str(svcRecord.ExternalID) + "/activities",
headers=self._apiHeaders(svcRecord),
params={"before": before})
if resp.status_code == 401:
raise APIException(
"No authorization to retrieve activity list",
block=True,
user_exception=UserException(
UserExceptionType.Authorization,
intervention_required=True))
earliestDate = None
try:
reqdata = resp.json()
except ValueError:
raise APIException(
"Failed parsing strava list response %s - %s" %
(resp.status_code, resp.text))
if not len(reqdata):
break # No more activities to see
for ride in reqdata:
activity = UploadedActivity()
activity.TZ = pytz.timezone(
re.sub("^\([^\)]+\)\s*", "", ride["timezone"])
) # Comes back as "(GMT -13:37) The Stuff/We Want""
activity.StartTime = pytz.utc.localize(
datetime.strptime(ride["start_date"],
"%Y-%m-%dT%H:%M:%SZ"))
logger.debug("\tActivity s/t %s: %s" %
(activity.StartTime, ride["name"]))
if not earliestDate or activity.StartTime < earliestDate:
earliestDate = activity.StartTime
before = calendar.timegm(
activity.StartTime.astimezone(pytz.utc).timetuple())
activity.EndTime = activity.StartTime + timedelta(
0, ride["elapsed_time"])
activity.ServiceData = {
"ActivityID": ride["id"],
"Manual": ride["manual"]
}
if ride["type"] not in self._reverseActivityTypeMappings:
exclusions.append(
APIExcludeActivity("Unsupported activity type %s" %
ride["type"],
activity_id=ride["id"],
user_exception=UserException(
UserExceptionType.Other)))
logger.debug("\t\tUnknown activity")
continue
activity.Type = self._reverseActivityTypeMappings[ride["type"]]
activity.Stats.Distance = ActivityStatistic(
ActivityStatisticUnit.Meters, value=ride["distance"])
if "max_speed" in ride or "average_speed" in ride:
activity.Stats.Speed = ActivityStatistic(
ActivityStatisticUnit.MetersPerSecond,
avg=ride["average_speed"]
if "average_speed" in ride else None,
max=ride["max_speed"] if "max_speed" in ride else None)
activity.Stats.MovingTime = ActivityStatistic(
ActivityStatisticUnit.Seconds,
value=ride["moving_time"] if "moving_time" in ride
and ride["moving_time"] > 0 else None
) # They don't let you manually enter this, and I think it returns 0 for those activities.
# Strava doesn't handle "timer time" to the best of my knowledge - although they say they do look at the FIT total_timer_time field, so...?
if "average_watts" in ride:
activity.Stats.Power = ActivityStatistic(
ActivityStatisticUnit.Watts, avg=ride["average_watts"])
if "average_heartrate" in ride:
activity.Stats.HR.update(
ActivityStatistic(ActivityStatisticUnit.BeatsPerMinute,
avg=ride["average_heartrate"]))
if "max_heartrate" in ride:
activity.Stats.HR.update(
ActivityStatistic(ActivityStatisticUnit.BeatsPerMinute,
max=ride["max_heartrate"]))
if "average_cadence" in ride:
activity.Stats.Cadence.update(
ActivityStatistic(
ActivityStatisticUnit.RevolutionsPerMinute,
avg=ride["average_cadence"]))
if "average_temp" in ride:
activity.Stats.Temperature.update(
ActivityStatistic(ActivityStatisticUnit.DegreesCelcius,
avg=ride["average_temp"]))
if "calories" in ride:
activity.Stats.Energy = ActivityStatistic(
ActivityStatisticUnit.Kilocalories,
value=ride["calories"])
activity.Name = ride["name"]
activity.Private = ride["private"]
activity.Stationary = ride["manual"]
activity.GPS = ("start_latlng"
in ride) and (ride["start_latlng"] is not None)
activity.AdjustTZ()
activity.CalculateUID()
activities.append(activity)
if not exhaustive or not earliestDate:
break
return activities, exclusions
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", 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 DownloadActivityList(self, serviceRecord, exhaustive=False):
def mapStatTriple(act, stats_obj, key, units):
if "%s_max" % key in act and act["%s_max" % key]:
stats_obj.update(ActivityStatistic(units, max=float(act["%s_max" % key])))
if "%s_min" % key in act and act["%s_min" % key]:
stats_obj.update(ActivityStatistic(units, min=float(act["%s_min" % key])))
if "%s_avg" % key in act and act["%s_avg" % key]:
stats_obj.update(ActivityStatistic(units, avg=float(act["%s_avg" % key])))
# http://ridewithgps.com/users/1/trips.json?limit=200&order_by=created_at&order_dir=asc
# offset also supported
activities = []
exclusions = []
# They don't actually support paging right now, for whatever reason
params = self._add_auth_params({}, record=serviceRecord)
res = requests.get("https://ridewithgps.com/users/{}/trips.json".format(serviceRecord.ExternalID), params=params)
res = res.json()
# Apparently some API users are seeing this new result format - I'm not
if type(res) is dict:
res = res.get("results", [])
if res == []:
return [], [] # No activities
for act in res:
if "distance" not in act:
exclusions.append(APIExcludeActivity("No distance", activity_id=act["id"], user_exception=UserException(UserExceptionType.Corrupt)))
continue
if "duration" not in act or not act["duration"]:
exclusions.append(APIExcludeActivity("No duration", activity_id=act["id"], user_exception=UserException(UserExceptionType.Corrupt)))
continue
activity = UploadedActivity()
logger.debug("Name " + act["name"] + ":")
if act.get("name", None) and len(act["name"].strip()):
activity.Name = act["name"]
if act.get("description", None) and len(act["description"].strip()):
activity.Notes = act["description"]
activity.GPS = act["is_gps"]
activity.Stationary = not activity.GPS # I think
# 0 = public, 1 = private, 2 = friends
activity.Private = act["visibility"] == 1
activity.StartTime = dateutil.parser.parse(act["departed_at"])
try:
activity.TZ = pytz.timezone(act["time_zone"])
except pytz.exceptions.UnknownTimeZoneError:
# Sometimes the time_zone returned isn't quite what we'd like it
# So, just pull the offset from the datetime
if isinstance(activity.StartTime.tzinfo, tzutc):
activity.TZ = pytz.utc # The dateutil tzutc doesn't have an _offset value.
else:
activity.TZ = pytz.FixedOffset(activity.StartTime.tzinfo.utcoffset(activity.StartTime).total_seconds() / 60)
activity.StartTime = activity.StartTime.replace(tzinfo=activity.TZ) # Overwrite dateutil's sillyness
activity.EndTime = activity.StartTime + timedelta(seconds=self._duration_to_seconds(act["duration"]))
logger.debug("Activity s/t " + str(activity.StartTime))
activity.AdjustTZ()
activity.Stats.Distance = ActivityStatistic(ActivityStatisticUnit.Meters, float(act["distance"]))
mapStatTriple(act, activity.Stats.Power, "watts", ActivityStatisticUnit.Watts)
mapStatTriple(act, activity.Stats.Speed, "speed", ActivityStatisticUnit.KilometersPerHour)
mapStatTriple(act, activity.Stats.Cadence, "cad", ActivityStatisticUnit.RevolutionsPerMinute)
mapStatTriple(act, activity.Stats.HR, "hr", ActivityStatisticUnit.BeatsPerMinute)
if "elevation_gain" in act and act["elevation_gain"]:
activity.Stats.Elevation.update(ActivityStatistic(ActivityStatisticUnit.Meters, gain=float(act["elevation_gain"])))
if "elevation_loss" in act and act["elevation_loss"]:
activity.Stats.Elevation.update(ActivityStatistic(ActivityStatisticUnit.Meters, loss=float(act["elevation_loss"])))
# Activity type is not implemented yet in RWGPS results; we will assume cycling, though perhaps "OTHER" wouuld be correct
activity.Type = ActivityType.Cycling
activity.CalculateUID()
activity.ServiceData = {"ActivityID": act["id"]}
activities.append(activity)
return activities, exclusions
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 DownloadActivityList(self, svcRecord, exhaustive=False):
ns = self._tp_ns
activities = []
exclusions = []
reqData = self._authData(svcRecord)
limitDateFormat = "%d %B %Y"
if exhaustive:
listEnd = datetime.now() + timedelta(
days=1.5) # Who knows which TZ it's in
listStart = datetime(day=1, month=1,
year=1980) # The beginning of time
else:
listEnd = datetime.now() + timedelta(
days=1.5) # Who knows which TZ it's in
listStart = listEnd - timedelta(days=20) # Doesn't really matter
lastActivityDay = None
discoveredWorkoutIds = []
while True:
reqData.update({
"startDate": listStart.strftime(limitDateFormat),
"endDate": listEnd.strftime(limitDateFormat)
})
print("Requesting %s to %s" % (listStart, listEnd))
resp = requests.post(
"https://www.trainingpeaks.com/tpwebservices/service.asmx/GetWorkoutsForAthlete",
data=reqData)
xresp = etree.XML(resp.content)
for xworkout in xresp:
activity = UploadedActivity()
workoutId = xworkout.find("tpw:WorkoutId", namespaces=ns).text
workoutDayEl = xworkout.find("tpw:WorkoutDay", namespaces=ns)
startTimeEl = xworkout.find("tpw:StartTime", namespaces=ns)
workoutDay = dateutil.parser.parse(workoutDayEl.text)
startTime = dateutil.parser.parse(
startTimeEl.text
) if startTimeEl is not None and startTimeEl.text else None
if lastActivityDay is None or workoutDay.replace(
tzinfo=None) > lastActivityDay:
lastActivityDay = workoutDay.replace(tzinfo=None)
if startTime is None:
continue # Planned but not executed yet.
activity.StartTime = startTime
endTimeEl = xworkout.find("tpw:TimeTotalInSeconds",
namespaces=ns)
if not endTimeEl.text:
exclusions.append(
APIExcludeActivity("Activity has no duration",
activity_id=workoutId,
user_exception=UserException(
UserExceptionType.Corrupt)))
continue
activity.EndTime = activity.StartTime + timedelta(
seconds=float(endTimeEl.text))
distEl = xworkout.find("tpw:DistanceInMeters", namespaces=ns)
if distEl.text:
activity.Stats.Distance = ActivityStatistic(
ActivityStatisticUnit.Meters, value=float(distEl.text))
# PWX is damn near comprehensive, no need to fill in any of the other statisitcs here, really
if workoutId in discoveredWorkoutIds:
continue # There's the possibility of query overlap, if there are multiple activities on a single day that fall across the query return limit
discoveredWorkoutIds.append(workoutId)
workoutTypeEl = xworkout.find("tpw:WorkoutTypeDescription",
namespaces=ns)
if workoutTypeEl.text:
if workoutTypeEl.text == "Day Off":
continue # TrainingPeaks has some weird activity types...
if workoutTypeEl.text not in self._workoutTypeMappings:
exclusions.append(
APIExcludeActivity("Activity type %s unknown" %
workoutTypeEl.text,
activity_id=workoutId,
user_exception=UserException(
UserExceptionType.Corrupt)))
continue
activity.Type = self._workoutTypeMappings[
workoutTypeEl.text]
activity.ServiceData = {"WorkoutID": workoutId}
activity.CalculateUID()
activities.append(activity)
if not exhaustive:
break
# Since TP only lets us query by date range, to get full activity history we need to query successively smaller ranges
if len(xresp):
if listStart == lastActivityDay:
break # This wouldn't work if you had more than #MaxQueryReturn activities on that day - but that number is probably 50+
listStart = lastActivityDay
else:
break # We're done
return activities, exclusions
