def handle(self, *args, **options):
hashes = REPORT_DEVICES # PurpleRobotPayload.objects.order_by().values('user_id').distinct()
start = datetime.datetime.now() - datetime.timedelta(days=21)
labels = PurpleRobotReading.objects.exclude(probe__startswith='edu.northwestern').values('probe').distinct()
for user_hash in hashes:
for label in labels:
slug_label = slugify(label['probe'])
payloads = PurpleRobotReading.objects.filter(user_id=user_hash, probe=label['probe'], logged__gte=start).order_by('logged')
count = payloads.count()
if count > 0:
temp_file = tempfile.TemporaryFile()
gzf = gzip.GzipFile(mode='wb', fileobj=temp_file)
gzf.write('User ID\tTimestamp\tValue\n')
index = 0
while index < count:
end = index + 100
if end > count:
end = count
for payload in payloads[index:end]:
reading_json = json.loads(payload.payload)
gzf.write(user_hash + '\t' + str(reading_json['TIMESTAMP']) + '\t' + reading_json['FEATURE_VALUE'] + '\n')
index += 100
gzf.flush()
gzf.close()
temp_file.seek(0)
report = PurpleRobotReport(generated=timezone.now(), mime_type='application/x-gzip', probe=slug_label, user_id=hash)
report.save()
report.report_file.save(user_hash + '-' + slug_label + '.txt.gz', File(temp_file))
report.save()
def handle(self, *args, **options):
hashes = REPORT_DEVICES # PurpleRobotPayload.objects.order_by().values('user_id').distinct()
# start = datetime.datetime.now() - datetime.timedelta(days=120)
start_ts = datetime.datetime(2015, 11, 10, 0, 0, 0, 0, tzinfo=pytz.timezone('US/Central'))
end_ts = start_ts + datetime.timedelta(days=1)
for user_hash in hashes:
payloads = PurpleRobotReading.objects.filter(user_id=user_hash, probe=PROBE_NAME, logged__gte=start_ts, logged__lt=end_ts).order_by('logged')
count = payloads.count()
if count > 0:
temp_file = tempfile.TemporaryFile()
gzf = gzip.GzipFile(mode='wb', fileobj=temp_file)
gzf.write('User ID\tTimestamp\n')
index = 0
while index < count:
end = index + 100
if end > count:
end = count
for payload in payloads[index:end]:
reading_json = json.loads(payload.payload)
gzf.write(hash + '\t' + str(reading_json['TIMESTAMP']) + '\n')
index += 100
gzf.flush()
gzf.close()
temp_file.seek(0)
report = PurpleRobotReport(generated=timezone.now(), mime_type='application/x-gzip', probe=PROBE_NAME, user_id=user_hash)
report.save()
report.report_file.save(hash + '-significant-motion.txt.gz', File(temp_file))
report.save()
def handle(self, *args, **options):
hashes = REPORT_DEVICES
# start = datetime.datetime.now() - datetime.timedelta(days=120)
start_ts = datetime.datetime(2015, 7, 3, 5, 0, 0, 0, tzinfo=pytz.timezone('US/Central'))
end_ts = start_ts + datetime.timedelta(hours=1)
# print(start_ts.isoformat())
# print(end_ts.isoformat())
for user_hash in hashes:
payloads = PurpleRobotReading.objects.filter(user_id=user_hash, probe=PROBE_NAME, logged__gte=start_ts, logged__lt=end_ts).order_by('logged')
count = payloads.count()
if count > 0:
temp_file = tempfile.TemporaryFile()
gzf = gzip.GzipFile(mode='wb', fileobj=temp_file)
gzf.write('User ID\tSensor Timestamp\tNormalized Timestamp\tCPU Timestamp\tX\tY\tZ\n')
index = 0
last_sensor = sys.maxint
base_ts = 0
while index < count:
end = index + 100
if end > count:
end = count
last_sensor = sys.maxint
base_ts = 0
for payload in payloads[index:end]:
reading_json = json.loads(payload.payload)
normal_times = []
sensor_times = []
cpu_times = []
x_readings = []
y_readings = []
z_readings = []
has_sensor = False
if 'SENSOR_TIMESTAMP' in reading_json:
has_sensor = True
for sensor_time in reading_json['SENSOR_TIMESTAMP']:
sensor_times.append(sensor_time)
for event_time in reading_json['EVENT_TIMESTAMP']:
cpu_times.append(event_time)
if has_sensor is False:
sensor_times.append(-1)
normal_times.append(-1)
if has_sensor:
for i in range(0, len(sensor_times)):
sensor_ts = float(sensor_times[i])
normalized_ts = sensor_ts / (1000 * 1000 * 1000)
if normalized_ts < last_sensor:
cpu_time = cpu_times[i]
base_ts = cpu_time - normalized_ts
normal_times.append(base_ts + normalized_ts)
last_sensor = normalized_ts
for x_reading in reading_json['X']:
x_readings.append(x_reading)
for y_reading in reading_json['Y']:
y_readings.append(y_reading)
for z_reading in reading_json['Z']:
z_readings.append(z_reading)
for i in range(0, len(cpu_times)):
x_reading = x_readings[i]
y_reading = y_readings[i]
z_reading = z_readings[i]
cpu_time = cpu_times[i]
sensor_time = sensor_times[i]
normal_time = normal_times[i]
gzf.write(user_hash + '\t' + str(sensor_time) + '\t' + str(normal_time) + '\t' + str(cpu_time) + '\t' + str(x_reading) + '\t' + str(y_reading) + '\t' + str(z_reading) + '\n')
index += 100
gzf.flush()
gzf.close()
temp_file.seek(0)
report = PurpleRobotReport(generated=timezone.now(), mime_type='application/x-gzip', probe=PROBE_NAME, user_id=user_hash)
report.save()
report.report_file.save(user_hash + '-accelerometer.txt.gz', File(temp_file))
report.save()
def handle(self, *args, **options):
hashes = REPORT_DEVICES # PurpleRobotPayload.objects.order_by().values('user_id').distinct()
start = datetime.datetime.now() - datetime.timedelta(days=21)
for user_hash in hashes:
# hash = hash['user_id']
payloads = PurpleRobotReading.objects.filter(user_id=user_hash, probe=PROBE_NAME, logged__gte=start).order_by('logged')
count = payloads.count()
if count > 0:
temp_file = tempfile.TemporaryFile()
gzf = gzip.GzipFile(mode='wb', fileobj=temp_file)
gzf.write('User ID\tSensor Timestamp\tNormalized Timestamp\tCPU Timestamp\tX\tY\tZ\n')
index = 0
last_sensor = sys.maxint
base_ts = 0
while index < count:
end = index + 100
if end > count:
end = count
for payload in payloads[index:end]:
reading_json = json.loads(payload.payload)
ns = []
ss = []
ts = []
xs = []
ys = []
zs = []
has_sensor = False
if 'SENSOR_TIMESTAMP' in reading_json:
has_sensor = True
for s in reading_json['SENSOR_TIMESTAMP']:
ss.append(s)
for t in reading_json['EVENT_TIMESTAMP']:
ts.append(t)
if has_sensor is False:
ss.append(-1)
ns.append(-1)
if has_sensor:
for i in range(0, len(ss)):
sensor_ts = float(ss[i])
normalized_ts = sensor_ts / (1000 * 1000 * 1000)
if normalized_ts < last_sensor:
cpu_time = ts[i]
base_ts = cpu_time - normalized_ts
ns.append(base_ts + normalized_ts)
last_sensor = normalized_ts
for x in reading_json['X']:
xs.append(x)
for y in reading_json['Y']:
ys.append(y)
for z in reading_json['Z']:
zs.append(z)
for i in range(0, len(ts)):
x = xs[i]
y = ys[i]
z = zs[i]
t = ts[i]
s = ss[i]
n = ns[i]
gzf.write(user_hash + '\t' + str(s) + '\t' + str(n) + '\t' + str(t) + '\t' + str(x) + '\t' + str(y) + '\t' + str(z) + '\n')
index += 100
gzf.flush()
gzf.close()
temp_file.seek(0)
report = PurpleRobotReport(generated=timezone.now(), mime_type='application/x-gzip', probe=PROBE_NAME, user_id=user_hash)
report.save()
report.report_file.save(user_hash + '-gyroscope.txt.gz', File(temp_file))
report.save()
def handle(self, *args, **options):
hashes = REPORT_DEVICES # PurpleRobotPayload.objects.order_by().values('user_id').distinct()
start_ts = timezone.now() - datetime.timedelta(days=120)
# start_ts = datetime.datetime(2015, 7, 3, 5, 0, 0, 0, tzinfo=pytz.timezone('US/Central'))
end_ts = timezone.now() # start_ts + datetime.timedelta(hours=1)
# print('HASHES: ' + str(hashes))
for user_hash in hashes:
# hash = hash['user_id']
payloads = PurpleRobotReading.objects.filter(user_id=user_hash, probe=PROBE_NAME, logged__gte=start_ts, logged__lt=end_ts).order_by('logged')
count = payloads.count()
# print(user_hash + ' -- ' + str(count))
if count > 0:
temp_file = tempfile.TemporaryFile()
gzf = gzip.GzipFile(mode='wb', fileobj=temp_file)
gzf.write('User ID\tTimestamp\tACCELEROMETER_READING_COUNT\tGYROSCOPE_READING_COUNT\tBAROMETER_READING_COUNT\tIS_FALL\tNOT_FALL_ODDS\tNOT_FALL_SUM\tNOT_FALL_PROBABILITY\tEVALUATION_WINDOW_START\tEVALUATION_WINDOW_END\tEVALUATION_WINDOW_SIZE\n')
index = 0
while index < count:
end = index + 100
if end > count:
end = count
for payload in payloads[index:end]:
reading_json = json.loads(payload.payload)
is_fall = 0
if reading_json['IS_FALL']:
is_fall = 1
accel_count = ''
if 'ACCELEROMETER_READING_COUNT' in reading_json:
accel_count = str(reading_json['ACCELEROMETER_READING_COUNT'])
gyro_count = ''
if 'GYROSCOPE_READING_COUNT' in reading_json:
gyro_count = str(reading_json['GYROSCOPE_READING_COUNT'])
baro_count = ''
if 'BAROMETER_READING_COUNT' in reading_json:
baro_count = str(reading_json['BAROMETER_READING_COUNT'])
eval_start = ''
if 'EVALUATION_WINDOW_START' in reading_json:
eval_start = str(reading_json['EVALUATION_WINDOW_START'])
eval_end = ''
if 'EVALUATION_WINDOW_END' in reading_json:
eval_end = str(reading_json['EVALUATION_WINDOW_END'])
eval_size = ''
if 'EVALUATION_WINDOW_SIZE' in reading_json:
eval_end = str(reading_json['EVALUATION_WINDOW_SIZE'])
gzf.write(user_hash + '\t' + str(reading_json['TIMESTAMP']) + '\t' + accel_count + '\t' + gyro_count + '\t' + baro_count + '\t' + str(is_fall) + '\t' + str(reading_json['NOT_FALL_ODDS']) + '\t' + str(reading_json['NOT_FALL_SUM']) + '\t' + str(reading_json['NOT_FALL_PROBABILITY']) + '\t' + eval_start + '\t' + eval_end + '\t' + eval_size + '\n')
index += 100
gzf.flush()
gzf.close()
temp_file.seek(0)
report = PurpleRobotReport(generated=timezone.now(), mime_type='application/x-gzip', probe=PROBE_NAME, user_id=user_hash)
report.save()
report.report_file.save(user_hash + '-fallnet.txt.gz', File(temp_file))
report.save()