def setup():
load_dotenv()
global THING_ID, THING_TOKEN, BLUETOOTH_DEVICE_MAC, ADDRESS_TYPE, GATT_CHARACTERISTIC_ORIENTATION, bleAdapter
global my_thing, my_property, csvName, dataPath
global start_time, dcd_start_time
global ad, distance, fbm, collecting
collecting = True
ADDRESS_TYPE = pygatt.BLEAddressType.random
THING_ID = os.environ['THING_ID']
THING_TOKEN = os.environ['THING_TOKEN']
csvName = 'defaultdata.csv'
dataPath = os.path.join(os.path.dirname(os.path.abspath(__file__)), "data",
"defaultdata.csv")
#bluetooth max & UUID of gatt service
BLUETOOTH_DEVICE_MAC = "F4:36:23:1E:9E:54"
GATT_CHARACTERISTIC_ORIENTATION = "02118833-4455-6677-8899-AABBCCDDEEFF"
bleAdapter = pygatt.GATTToolBackend()
bleAdapter.start()
my_thing = Thing(thing_id=THING_ID, token=THING_TOKEN)
my_thing.read()
my_property = my_thing.find_or_create_property(
"Wheelchair Speed", PropertyType.THREE_DIMENSIONS)
start_time = time.time()
dcd_start_time = datetime.now()
ad = analysedata
distance = 0
fbm = feedbackmanager
MODEL_FILE_NAME = "model.pickle"
# Data collection time frame (in milliseconds)
START_TS = 1554468600000
END_TS = 1554468600000 + 780000
# Exact time in local time start time 2019/04/03 12:20:07.540 end time 2019/04/03 12:31:01.302
# START_TS = 1554294007540
# END_TS = 1554294661302
# Property ID
PROPERTY_DATA = "discoPressure"
PROPERTY_LABEL = "discoPostures"
# Instantiate a thing with its credential
my_thing = Thing(thing_id=THING_ID, token=THING_TOKEN)
# We can fetch the details of our thing
my_thing.read()
print(my_thing.to_json())
def unix_time_millis(dt):
epoch = datetime.utcfromtimestamp(0)
return math.floor((dt - epoch).total_seconds() * 1000.0)
def list_to_df(dataSet):
dfObj = pd.DataFrame(dataSet)
return dfObj
from dotenv import load_dotenv
import os
from dcd.entities.thing import Thing
from time import sleep
# The thing ID and access token
load_dotenv()
THING_ID = os.environ['THING_ID']
# Instantiate a thing with its credential
my_thing = Thing(thing_id=THING_ID,
private_key_path="/etc/ssl/certs/" + THING_ID +
".private.pem")
# Find or create a property to store processor usage
my_property_cpu = my_thing.find_or_create_property("Processor Usage", "CPU")
def update_cpu():
f = os.popen('top -bn1 | grep "Cpu" | cut -c 10-13')
cpu = f.read()
my_property_cpu.update_values((cpu.rstrip(), ))
while True:
update_cpu()
# sleep every 60 seconds
time.sleep(60)