def update_channel(channel, value, key, feedID, at):
# Connect to Xively
api = xively.XivelyAPIClient(key)
feed = api.feeds.get(feedID)
stream = feed.datastreams.get(channel)
stream.datapoints = [xively.Datapoint(at, value)]
stream.update()
def update_channel(channel, value, key=p_rain_key, feedID=feed_id, at=-1):
if at == -1:
at = datetime.datetime.utcnow()
# Connect to Xively
api = xively.XivelyAPIClient(key)
feed = api.feeds.get(feedID)
stream = feed.datastreams.get(channel)
stream.datapoints = [xively.Datapoint(at, value)]
stream.update()
def xively_write(feed, data):
global t006, accl_x, accl_y, accl_z, humd_t, humd_rh, baro_t, baro_p, magn_x, magn_y, magn_z, gyro_x, gyro_y, gyro_z
t006.append(xively.Datapoint(datetime.datetime.utcnow(), data['t006']))
accl_x.append(xively.Datapoint(datetime.datetime.utcnow(), data['accl'][0]))
accl_y.append(xively.Datapoint(datetime.datetime.utcnow(), data['accl'][1]))
accl_z.append(xively.Datapoint(datetime.datetime.utcnow(), data['accl'][2]))
humd_t.append(xively.Datapoint(datetime.datetime.utcnow(), data['humd'][0]))
humd_rh.append(xively.Datapoint(datetime.datetime.utcnow(), data['humd'][1]))
baro_t.append(xively.Datapoint(datetime.datetime.utcnow(), data['baro'][0]))
baro_p.append(xively.Datapoint(datetime.datetime.utcnow(), data['baro'][1]))
magn_x.append(xively.Datapoint(datetime.datetime.utcnow(), data['magn'][0]))
magn_y.append(xively.Datapoint(datetime.datetime.utcnow(), data['magn'][1]))
magn_z.append(xively.Datapoint(datetime.datetime.utcnow(), data['magn'][2]))
#gyro_x.append(xively.Datapoint(datetime.datetime.utcnow(), data['gyro'][0]))
#gyro_y.append(xively.Datapoint(datetime.datetime.utcnow(), data['gyro'][1]))
#gyro_z.append(xively.Datapoint(datetime.datetime.utcnow(), data['gyro'][2]))
if len(t006) < 10:
return
else:
feed.datastreams = [
xively.Datastream(id= 't006', datapoints=t006),
xively.Datastream(id= 'accl_x', datapoints=accl_x),
xively.Datastream(id= 'accl_y', datapoints=accl_y),
xively.Datastream(id= 'accl_z', datapoints=accl_z),
xively.Datastream(id= 'humd_t', datapoints=humd_t),
xively.Datastream(id= 'humd_rh', datapoints=humd_rh),
xively.Datastream(id= 'baro_t', datapoints=baro_t),
xively.Datastream(id= 'baro_p', datapoints=baro_p),
xively.Datastream(id= 'magn_x', datapoints=magn_x),
xively.Datastream(id= 'magn_y', datapoints=magn_y),
xively.Datastream(id= 'magn_z', datapoints=magn_z),
#xively.Datastream(id= 'gyro_x', datapoints=gyro_x),
#xively.Datastream(id= 'gyro_x', datapoints=gyro_y),
#xively.Datastream(id= 'gyro_x', datapoints=gyro_z),
# when dealing with single data values can do this instead -
# xively.Datastream(id= 't006', current_value=data['t006'], at=now),
]
t006 = []
accl_x = []
accl_y = []
accl_z = []
humd_t = []
humd_rh = []
baro_t = []
baro_p = []
magn_x = []
magn_y = []
magn_z = []
gyro_x = []
gyro_y = []
gyro_z = []
feed.update()
def _create_datapoint(self, **data):
datapoint = xively.Datapoint(**data)
manager = xively.managers.DatapointsManager(self.datastream)
datapoint._manager = manager
return datapoint
def test_create_datapoint(self):
now = datetime.now()
datapoint = xively.Datapoint(at=now, value=123)
self.assertEqual(datapoint.at, now)
self.assertEqual(datapoint.value, 123)
import xively, datetime, random
read_key = "GOgGb3IPwNgwyvKavBJPa1FAg1rqdkL4D0uZI2UNlLj93qWx"
feed_id = 1821537225
api = xively.XivelyAPIClient(read_key)
feed = api.feeds.get(feed_id)
# Test 1
z_stream = feed.datastreams.get('z')
z_stream.datapoints = [xively.Datapoint(datetime.datetime.utcnow(), random.random())]
z_stream.update()
# Test 2
streams = feed.datastreams
for s in streams:
print s
depth = feed.datastreams.get('depth_press',end=datetime.datetime(2014,7,4,14,0,0),limit=10,interval=0,duration=600)
depth.datapoints[:]
depth[-1].value
depth[-1].at
[float(d.value) for d in depth.datapoints[-10:]]
if __name__ == '__main__':
print "Serving on port 8000..."