def leaderboardComputationTask():
profiles = Profile.objects.all()
# profiles = []
# profiles.append(Profile.objects.get(uuid="341cc5cd-0f42-45f1-9f66-273ac3ed8b2e"))
unsorted_dict = {}
for profile in profiles:
token = socialhealth_tasks.getToken(profile, "app-uuid")
internalDataStore = socialhealth_tasks.getInternalDataStore(
profile, "Living Lab", "Social Health Tracker", token)
values = aggregateLeaderboardComputation(internalDataStore,
"activityStats",
leaderboardComputation, False)
unsorted_dict[profile.uuid] = LeaderboardRanking({
"average_activity_rate":
values[0]["average_activity_rate"],
"max_high_activity_rate":
values[0]["max_high_activity_rate"],
"min_low_activity_rate":
values[0]["min_low_activity_rate"]
})
#sorted_dict = sorted(unsorted_dict.values(), key=attrgetter('average_activity_rate'))
sorted_dict = sorted(
unsorted_dict,
key=lambda uuid: unsorted_dict[uuid].average_activity_rate,
reverse=False)
average_activity_rates_list = []
for uuid in sorted_dict:
average_activity_rates_list.append(
unsorted_dict[uuid].get_average_activity_rate())
for uuid in sorted_dict:
profile = Profile.objects.get(uuid=uuid)
token = socialhealth_tasks.getToken(profile, "app-uuid")
internalDataStore = socialhealth_tasks.getInternalDataStore(
profile, "Living Lab", "Social Health Tracker", token)
percentileValue = calculatePercentile(
average_activity_rates_list,
unsorted_dict[uuid].get_average_activity_rate())
user_activity_list = []
user_activity_dict = {
"average_activity_rate":
unsorted_dict[uuid].get_average_activity_rate(),
"max_high_activity_rate":
unsorted_dict[uuid].get_max_high_activity_rate(),
"min_low_activity_rate":
unsorted_dict[uuid].get_min_low_activity_rate(),
"rank": {
"own": len(sorted_dict) - sorted_dict.index(uuid),
"total": len(sorted_dict),
"percentile": percentileValue
}
}
user_activity_list.append(user_activity_dict)
internalDataStore.saveAnswer("activityStats", user_activity_list)
def leaderboardComputationTask():
profiles = Profile.objects.all()
# profiles = []
# profiles.append(Profile.objects.get(uuid="341cc5cd-0f42-45f1-9f66-273ac3ed8b2e"))
unsorted_dict = {}
for profile in profiles:
token = socialhealth_tasks.getToken(profile, "app-uuid")
internalDataStore = socialhealth_tasks.getInternalDataStore(profile, "Living Lab", "Social Health Tracker", token)
values = aggregateLeaderboardComputation(internalDataStore, "activityStats", leaderboardComputation, False)
unsorted_dict[profile.uuid] = LeaderboardRanking({ "average_activity_rate": values[0]["average_activity_rate"], "max_high_activity_rate": values[0]["max_high_activity_rate"], "min_low_activity_rate": values[0]["min_low_activity_rate"]})
#sorted_dict = sorted(unsorted_dict.values(), key=attrgetter('average_activity_rate'))
sorted_dict = sorted(unsorted_dict, key = lambda uuid: unsorted_dict[uuid].average_activity_rate, reverse=False)
average_activity_rates_list = []
for uuid in sorted_dict:
average_activity_rates_list.append(unsorted_dict[uuid].get_average_activity_rate())
for uuid in sorted_dict:
profile = Profile.objects.get(uuid=uuid)
token = socialhealth_tasks.getToken(profile, "app-uuid")
internalDataStore = socialhealth_tasks.getInternalDataStore(profile, "Living Lab", "Social Health Tracker", token)
percentileValue = calculatePercentile(average_activity_rates_list, unsorted_dict[uuid].get_average_activity_rate())
user_activity_list = []
user_activity_dict = { "average_activity_rate": unsorted_dict[uuid].get_average_activity_rate(), "max_high_activity_rate": unsorted_dict[uuid].get_max_high_activity_rate(), "min_low_activity_rate": unsorted_dict[uuid].get_min_low_activity_rate(), "rank": {"own": len(sorted_dict) - sorted_dict.index(uuid), "total": len(sorted_dict), "percentile": percentileValue} }
user_activity_list.append(user_activity_dict)
internalDataStore.saveAnswer("activityStats", user_activity_list)
def findActiveLocationsTask():
profiles = Profile.objects.all()
location_frequencies = {}
for profile in profiles:
token = socialhealth_tasks.getToken(profile, "app-uuid")
internalDataStore = socialhealth_tasks.getInternalDataStore(profile, "Living Lab", "Social Health Tracker", token)
values = activeLocationsComputation(internalDataStore)
print profile.uuid
print values
for value in values:
location_value = tuple((round(value[0],4), round(value[1],4)))
if location_value in location_frequencies:
location_frequencies[location_value] = location_frequencies[location_value] + 1
else:
location_frequencies[location_value] = 1
print location_frequencies
location_frequencies_list = []
for key in location_frequencies:
print key
location_value = { "lat": key[0], "lng": key[1], "count": location_frequencies[key]}
location_frequencies_list.append(location_value)
print location_frequencies_list
for profile in profiles:
token = socialhealth_tasks.getToken(profile, "app-uuid")
internalDataStore = socialhealth_tasks.getInternalDataStore(profile, "Living Lab", "Social Health Tracker", token)
internalDataStore.saveAnswer("activeLocations", location_frequencies_list)
def recentProbeDataScores():
profiles = Profile.objects.all()
for profile in profiles:
startTime = socialhealth_tasks.getStartTime(6, True)
currentTime = time.time()
timeRanges = [
(start, start + 3600)
for start in range(int(startTime), int(currentTime), 3600)
]
probeAnswerKeys = {
'recentActivityProbeByHour': 'ActivityProbe',
'recentSmsProbeByHour': 'SmsProbe',
'recentCallLogProbeByHour': 'CallLogProbe',
'recentBluetoothProbeByHour': 'BluetoothProbe',
'recentWifiProbeByHour': 'WifiProbe',
'recentSimpleLocationProbeByHour': 'LocationProbe',
'recentRunningApplicationsProbeByHour': 'RunningApplicationsProbe',
'recentHardwareInfoProbeByHour': 'HardwareInfoProbe',
'recentAppUsageProbeByHour': 'AppUsageProbe'
}
# print profile
token = socialhealth_tasks.getToken(profile, "app-uuid")
internalDataStore = socialhealth_tasks.getInternalDataStore(
profile, "Living Lab", "Social Health Tracker", token)
for probeAnswerKey, probe in probeAnswerKeys.iteritems():
# print probe
probeLevels = aggregateForUser(probe, internalDataStore,
probeAnswerKey, timeRanges,
probeForTimeRange, False)
def recentProbeDataScores():
# profile = Profile.objects.get(uuid = uuid)
profiles = Profile.objects.all()
for profile in profiles:
startTime = socialhealth_tasks.getStartTime(6, True)
currentTime = time.time()
timeRanges = [(start, start + 3600) for start in range(int(startTime), int(currentTime), 3600)]
probeAnswerKeys = {
"recentActivityProbeByHour": "ActivityProbe",
"recentSmsProbeByHour": "SmsProbe",
"recentCallLogProbeByHour": "CallLogProbe",
"recentBluetoothProbeByHour": "BluetoothProbe",
"recentWifiProbeByHour": "WifiProbe",
"recentSimpleLocationProbeByHour": "LocationProbe",
"recentRunningApplicationsProbeByHour": "RunningApplicationsProbe",
"recentHardwareInfoProbeByHour": "HardwareInfoProbe",
"recentAppUsageProbeByHour": "AppUsageProbe",
}
print profile
token = socialhealth_tasks.getToken(profile, "app-uuid")
internalDataStore = socialhealth_tasks.getInternalDataStore(
profile, "Living Lab", "Social Health Tracker", token
)
for probeAnswerKey, probe in probeAnswerKeys.iteritems():
print probe
probeLevels = aggregateForUser(
probe, internalDataStore, probeAnswerKey, timeRanges, probeForTimeRange, False
)
print probeLevels
def findActiveLocationsTask():
profiles = Profile.objects.all()
location_frequencies = {}
for profile in profiles:
token = socialhealth_tasks.getToken(profile, "app-uuid")
internalDataStore = socialhealth_tasks.getInternalDataStore(
profile, "Living Lab", "Social Health Tracker", token)
values = activeLocationsComputation(internalDataStore)
print profile.uuid
print values
for value in values:
location_value = tuple((round(value[0], 4), round(value[1], 4)))
if location_value in location_frequencies:
location_frequencies[
location_value] = location_frequencies[location_value] + 1
else:
location_frequencies[location_value] = 1
print location_frequencies
location_frequencies_list = []
for key in location_frequencies:
print key
location_value = {
"lat": key[0],
"lng": key[1],
"count": location_frequencies[key]
}
location_frequencies_list.append(location_value)
print location_frequencies_list
for profile in profiles:
token = socialhealth_tasks.getToken(profile, "app-uuid")
internalDataStore = socialhealth_tasks.getInternalDataStore(
profile, "Living Lab", "Social Health Tracker", token)
internalDataStore.saveAnswer("activeLocations",
location_frequencies_list)