def DownloadActivity(self, serviceRecord, activity):
# First, download the summary stats and lap stats
self._downloadActivitySummary(serviceRecord, activity)
if len(activity.Laps) == 1:
activity.Stats = activity.Laps[
0].Stats # They must be identical to pass the verification
if activity.Stationary:
# Nothing else to download
return activity
# https://connect.garmin.com/proxy/activity-service-1.3/json/activityDetails/####
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/activityDetails/"
+ str(activityID) + "?maxSize=999999999"))
try:
raw_data = res.json(
)["com.garmin.activity.details.json.ActivityDetails"]
except ValueError:
raise APIException("Activity data parse error for %s: %s" %
(res.status_code, res.text))
if "measurements" not in raw_data:
activity.Stationary = True # We were wrong, oh well
return activity
attrs_map = {}
def _map_attr(gc_key,
wp_key,
units,
in_location=False,
is_timestamp=False):
attrs_map[gc_key] = {
"key": wp_key,
"to_units": units,
"in_location": in_location, # Blegh
"is_timestamp": is_timestamp # See above
}
_map_attr("directSpeed", "Speed",
ActivityStatisticUnit.MetersPerSecond)
_map_attr("sumDistance", "Distance", ActivityStatisticUnit.Meters)
_map_attr("directHeartRate", "HR",
ActivityStatisticUnit.BeatsPerMinute)
_map_attr("directBikeCadence", "Cadence",
ActivityStatisticUnit.RevolutionsPerMinute)
_map_attr("directDoubleCadence", "RunCadence",
ActivityStatisticUnit.StepsPerMinute) # 2*x mystery solved
_map_attr("directAirTemperature", "Temp",
ActivityStatisticUnit.DegreesCelcius)
_map_attr("directPower", "Power", ActivityStatisticUnit.Watts)
_map_attr("directElevation",
"Altitude",
ActivityStatisticUnit.Meters,
in_location=True)
_map_attr("directLatitude", "Latitude", None, in_location=True)
_map_attr("directLongitude", "Longitude", None, in_location=True)
_map_attr("directTimestamp", "Timestamp", None, is_timestamp=True)
# Figure out which metrics we'll be seeing in this activity
attrs_indexed = {}
for measurement in raw_data["measurements"]:
key = measurement["key"]
if key in attrs_map:
if attrs_map[key]["to_units"]:
attrs_map[key]["from_units"] = self._unitMap[
measurement["unit"]]
if attrs_map[key]["to_units"] == attrs_map[key][
"from_units"]:
attrs_map[key]["to_units"] = attrs_map[key][
"from_units"] = None
attrs_indexed[measurement["metricsIndex"]] = attrs_map[key]
# Process the data frames
frame_idx = 0
active_lap_idx = 0
for frame in raw_data["metrics"]:
wp = Waypoint()
for idx, attr in attrs_indexed.items():
value = frame["metrics"][idx]
target_obj = wp
if attr["in_location"]:
if not wp.Location:
wp.Location = Location()
target_obj = wp.Location
# Handle units
if attr["is_timestamp"]:
value = pytz.utc.localize(
datetime.utcfromtimestamp(value / 1000))
elif attr["to_units"]:
value = ActivityStatistic.convertValue(
value, attr["from_units"], attr["to_units"])
# Write the value (can't use __dict__ because __slots__)
setattr(target_obj, attr["key"], value)
# Fix up lat/lng being zero (which appear to represent missing coords)
if wp.Location and wp.Location.Latitude == 0 and wp.Location.Longitude == 0:
wp.Location.Latitude = None
wp.Location.Longitude = None
# Please visit a physician before complaining about this
if wp.HR == 0:
wp.HR = None
# Bump the active lap if required
while (active_lap_idx < len(activity.Laps) - 1
and # Not the last lap
activity.Laps[active_lap_idx + 1].StartTime <= wp.Timestamp
):
active_lap_idx += 1
activity.Laps[active_lap_idx].Waypoints.append(wp)
frame_idx += 1
return activity
def DownloadActivity(self, serviceRecord, activity):
# First, download the summary stats and lap stats
self._downloadActivitySummary(serviceRecord, activity)
if len(activity.Laps) == 1:
activity.Stats = activity.Laps[0].Stats # They must be identical to pass the verification
if activity.Stationary:
# Nothing else to download
return activity
# https://connect.garmin.com/proxy/activity-service-1.3/json/activityDetails/####
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/activityDetails/" + str(activityID) + "?maxSize=999999999")
try:
raw_data = res.json()["com.garmin.activity.details.json.ActivityDetails"]
except ValueError:
raise APIException("Activity data parse error for %s: %s" % (res.status_code, res.text))
if "measurements" not in raw_data:
activity.Stationary = True # We were wrong, oh well
return activity
attrs_map = {}
def _map_attr(gc_key, wp_key, units, in_location=False, is_timestamp=False):
attrs_map[gc_key] = {
"key": wp_key,
"to_units": units,
"in_location": in_location, # Blegh
"is_timestamp": is_timestamp # See above
}
_map_attr("directSpeed", "Speed", ActivityStatisticUnit.MetersPerSecond)
_map_attr("sumDistance", "Distance", ActivityStatisticUnit.Meters)
_map_attr("directHeartRate", "HR", ActivityStatisticUnit.BeatsPerMinute)
_map_attr("directBikeCadence", "Cadence", ActivityStatisticUnit.RevolutionsPerMinute)
_map_attr("directDoubleCadence", "RunCadence", ActivityStatisticUnit.StepsPerMinute) # 2*x mystery solved
_map_attr("directAirTemperature", "Temp", ActivityStatisticUnit.DegreesCelcius)
_map_attr("directPower", "Power", ActivityStatisticUnit.Watts)
_map_attr("directElevation", "Altitude", ActivityStatisticUnit.Meters, in_location=True)
_map_attr("directLatitude", "Latitude", None, in_location=True)
_map_attr("directLongitude", "Longitude", None, in_location=True)
_map_attr("directTimestamp", "Timestamp", None, is_timestamp=True)
# Figure out which metrics we'll be seeing in this activity
attrs_indexed = {}
attr_count = len(raw_data["measurements"])
for measurement in raw_data["measurements"]:
key = measurement["key"]
if key in attrs_map:
if attrs_map[key]["to_units"]:
attrs_map[key]["from_units"] = self._unitMap[measurement["unit"]]
if attrs_map[key]["to_units"] == attrs_map[key]["from_units"]:
attrs_map[key]["to_units"] = attrs_map[key]["from_units"] = None
attrs_indexed[measurement["metricsIndex"]] = attrs_map[key]
# Process the data frames
frame_idx = 0
active_lap_idx = 0
for frame in raw_data["metrics"]:
wp = Waypoint()
for idx, attr in attrs_indexed.items():
value = frame["metrics"][idx]
target_obj = wp
if attr["in_location"]:
if not wp.Location:
wp.Location = Location()
target_obj = wp.Location
# Handle units
if attr["is_timestamp"]:
value = pytz.utc.localize(datetime.utcfromtimestamp(value / 1000))
elif attr["to_units"]:
value = ActivityStatistic.convertValue(value, attr["from_units"], attr["to_units"])
# Write the value (can't use __dict__ because __slots__)
setattr(target_obj, attr["key"], value)
# Fix up lat/lng being zero (which appear to represent missing coords)
if wp.Location and wp.Location.Latitude == 0 and wp.Location.Longitude == 0:
wp.Location.Latitude = None
wp.Location.Longitude = None
# Bump the active lap if required
while (active_lap_idx < len(activity.Laps) - 1 and # Not the last lap
activity.Laps[active_lap_idx + 1].StartTime <= wp.Timestamp):
active_lap_idx += 1
activity.Laps[active_lap_idx].Waypoints.append(wp)
frame_idx += 1
return activity
