reg_vibration_metric = graphite.register(vibration_metric)
graphite.create_relationship(reg_sensor_tag, reg_vibration_metric)
reg_vibration_metric.start_collecting()
rpm_metric = Metric(
name="windmill.RPM",
unit=None,
interval=0,
aggregation_size=1,
sampling_function=lambda: get_rpm(sensor_tag_collector))
reg_rpm_metric = graphite.register(rpm_metric)
graphite.create_relationship(reg_sensor_tag, reg_rpm_metric)
reg_rpm_metric.start_collecting()
pfa_rpm_metric = Metric(name="windmill.RPM",
unit=None,
interval=0,
aggregation_size=1,
sampling_function=get_rpm_for_model)
edge_component = PFAComponent(
'/home/pi/Desktop/Borathon/liota/edge_intelligence_models/windmill/finalized_model.pfa',
actuator_udm=action_actuator)
pfa_reg_rpm_metric = edge_component.register(pfa_rpm_metric)
pfa_reg_rpm_metric.start_collecting()
except RegistrationFailure:
print "Registration to graphite failed"
sensor_tag_collector.stop()
def action_actuator(value):
print value
def read_csv_file():
global line
line += 1
if not line > len(rows):
return int(rows[line][0])
# ---------------------------------------------------------------------------
# In this example, we demonstrate how System health and some simulated data
# can be directed to data center component IoTCC using Liota.
# The program illustrates the ease of use Liota brings to IoT application developers.
if __name__ == '__main__':
read_file("/Users/vkohli/sample.csv")
sample = PFAComponent(
'/home/pi/Desktop/Borathon/liota/edge_intelligence_models/windmill/finalized_model.pfa',
action_actuator)
sample_metric = Metric(name="File Metric",
unit=None,
interval=10,
aggregation_size=1,
sampling_function=read_csv_file)
reg_sample_metric = sample.register(sample_metric)
reg_sample_metric.start_collecting()