def main():
mqtt_client = MqttLocalClient(client_id=MQTT_CLIENT_ID,
host=IIoT.MQTT_HOST,
port=IIoT.MQTT_PORT,
subscription_paths=[
SUBSCRIBED_MQTT_CHANNELS,
])
mqtt_client.start()
# Get the data from message_queue
while True:
# Waiting for a new message in the queue
message = mqtt_client.message_queue.get()
#Get the message topic and its payload
topic = message.topic
payload = message.payload
json_payload = json.loads(payload)
input_name = json_payload['data']['name']
input_value = json_payload['data']['value']
# Perform actions
output_value = data_manipulation(input_value)
# Publish data
message = packOutputMessage(output_value)
mqtt_client.publish(IIoT.MqttChannels.persist, json.dumps(message))
def main():
mqtt_client = MqttLocalClient(
client_id = MQTT_CLIENT_ID,
host = IIoT.MQTT_HOST,
port = IIoT.MQTT_PORT,
subscription_paths = SUBSCRIBED_MQTT_CHANNELS
)
mqtt_client.start()
# initialize ounter and mean var
i = 0
mean = 0
while True:
# Waiting for a new message in the queue
message = mqtt_client.message_queue.get()
#Get the message topic and its payload
topic = message.topic
payload = message.payload
json_payload = json.loads(payload)
if json_payload['data']['name'] == VARIABLE_NAME:
# perform calculation
mean = mean + float(json_payload['data']['value'])
i = i + 1
if i == MEAN_SAMPLES:
# the variable name containing mean is made by
# original_var_name _ number_of_samples_ (seconds) _mean
output_name = VARIABLE_NAME + "_" + str(MEAN_SAMPLES) + "_sec_mean"
# compute the mean
output_value = mean / MEAN_SAMPLES
# reset counter and mean var
i = 0
mean = 0
# pack the json publish message
message = IIoT.packOutputMessage(output_name ,output_value)
# publish the message to the mqtt broker
mqtt_client.publish(OUTPUT_CHANNEL, json.dumps(message))