def test_influx_output():
loop = asyncio.get_event_loop()
s = ValueListSensor(1, value_stream)
p = SensorPub(s)
b = InfluxDBWriter(msg_format=Sensor(series_name='Sensor',
fields=['val', 'ts'],
tags=['sensor_id']),
generate_timestamp=False)
p.subscribe(b)
scheduler = Scheduler(loop)
scheduler.schedule_periodic(p, 0.2) # sample five times every second
scheduler.run_forever()
# Now play back
c = InfluxDBClient(database='antevents')
rs = c.query('SELECT * FROM Sensor;').get_points()
for d in rs:
print(d)
# Play back using a publisher
p = InfluxDBReader('SELECT * FROM Sensor;')
p.subscribe(CallableAsSubscriber(print))
scheduler = Scheduler(loop)
scheduler.schedule_periodic(p, 0.2) # sample five times every second
scheduler.run_forever()
print("That's all folks")
def setup(broker, threshold):
lux = SensorPub(LuxSensor())
lux.subscribe(print)
led = GpioPinOut()
actions = lux.map(lambda event: event.val > threshold)
actions.subscribe(led)
actions.subscribe(lambda v: print('ON' if v else 'OFF'))
lux.to_json().subscribe(MQTTWriter(broker, topics=[('bogus/bogus', 0)]))
lux.print_downstream()
return (lux, led)
def setup(threshold=25):
lux = SensorPub(LuxSensor())
lux.subscribe(print)
lux.csv_writer(os.path.expanduser('~/lux.csv'))
led = GpioPinOut()
actions = lux.map(lambda event: event.val > threshold)
actions.subscribe(led)
actions.subscribe(lambda v: print('ON' if v else 'OFF'))
lux.print_downstream()
return (lux, led)
def test_bokeh_output():
loop = asyncio.get_event_loop()
s = ValueListSensor(1, value_stream)
p = SensorPub(s)
b = BokehStreamer([ SensorEvent(ts=0,val=10,sensor_id="temp" ) ], io_loop=loop)
p.subscribe(b)
scheduler = Scheduler(loop)
scheduler.schedule_periodic(p, 0.5) # sample twice every second
scheduler.run_forever()
self.assertTrue(vo.completed,
"Schedule exited before validation observer completed")
print("That's all folks")