def simulation(
TEMPERATURE_MAX=10, # maximal ambient temperature
TEMPERATURE_MIN=-5, # minimal ambient temperature
TEMPERATURE_ZONE_START=10, # start value of the zone temperature
T_SIM_START=0, # simulation start time in seconds
T_SIM_END=24 * 60 * 60, # simulation end time in seconds
COM_STEP=60 * 15, # 1 min communication step in seconds
SLEEP_TIME=0.2 # sleep time between every simulation step
):
# create a fiware header object
fiware_header = FiwareHeader(service=SERVICE, service_path=SERVICE_PATH)
# instantiate simulation model
sim_model = SimulationModel(t_start=T_SIM_START,
t_end=T_SIM_END,
temp_max=TEMPERATURE_MAX,
temp_min=TEMPERATURE_MIN,
temp_start=TEMPERATURE_ZONE_START)
# Create clients and restore devices and groups from files
groups = parse_file_as(List[ServiceGroup], READ_GROUPS_FILEPATH)
devices = parse_file_as(List[Device], READ_DEVICES_FILEPATH)
cbc = ContextBrokerClient(url=CB_URL, fiware_header=fiware_header)
iotac = IoTAClient(url=IOTA_URL, fiware_header=fiware_header)
iotac.post_groups(service_groups=groups, update=True)
iotac.post_devices(devices=devices, update=True)
# Get the device configurations from the server
weather_station = iotac.get_device(device_id="device:001")
zone_temperature_sensor = iotac.get_device(device_id="device:002")
heater = iotac.get_device(device_id="device:003")
# Get the service group configurations from the server
group = iotac.get_group(resource="/iot/json", apikey=APIKEY)
# Create a http subscriptions that get triggered by updates of your
# device attributes and send data to Quantum Leap.
qlc = QuantumLeapClient(url=QL_URL, fiware_header=fiware_header)
qlc.post_subscription(entity_id=weather_station.entity_name,
entity_type=weather_station.entity_type,
cb_url="http://orion:1026",
ql_url="http://quantumleap:8668",
throttling=0)
qlc.post_subscription(entity_id=zone_temperature_sensor.entity_name,
entity_type=zone_temperature_sensor.entity_type,
cb_url="http://orion:1026",
ql_url="http://quantumleap:8668",
throttling=0)
qlc.post_subscription(entity_id=heater.entity_name,
entity_type=heater.entity_type,
cb_url="http://orion:1026",
ql_url="http://quantumleap:8668",
throttling=0)
# create a MQTTv5 client with paho-mqtt and the known groups and devices.
mqttc = IoTAMQTTClient(
protocol=mqtt.MQTTv5,
devices=[weather_station, zone_temperature_sensor, heater],
service_groups=[group])
# set user data if required
mqttc.username_pw_set(username=MQTT_USER, password=MQTT_PW)
# Implement a callback function that gets triggered when the
# command is sent to the device. The incoming command should update the
# heater power of the simulation model
def on_command(client, obj, msg):
"""
Callback for incoming commands
"""
# Decode the message payload using the libraries builtin encoders
apikey, device_id, payload = \
client.get_encoder(PayloadProtocol.IOTA_JSON).decode_message(
msg=msg)
# Update the heating power of the simulation model
sim_model.heater_power = payload["heater_power"]
# Acknowledge the command.
client.publish(device_id=device_id,
command_name=next(iter(payload)),
payload=payload)
# Add the command callback to your MQTTClient. This will get
# triggered for the specified device_id
mqttc.add_command_callback(device_id=heater.device_id, callback=on_command)
# connect to the mqtt broker and subscribe to your topic
mqtt_url = urlparse(MQTT_BROKER_URL_EXPOSED)
mqttc.connect(host=mqtt_url.hostname,
port=mqtt_url.port,
keepalive=60,
bind_address="",
bind_port=0,
clean_start=mqtt.MQTT_CLEAN_START_FIRST_ONLY,
properties=None)
# subscribe to all incoming command topics for the registered devices
mqttc.subscribe()
# create a non-blocking thread for mqtt communication
mqttc.loop_start()
# define lists to store historical data
history_weather_station = []
history_zone_temperature_sensor = []
history_heater_power = []
# simulation without heater
# Create a loop that publishes regularly a message to the broker
# that holds the simulation time "simtime" and the corresponding
# temperature "temperature" the loop should. You may use the `object_id`
# or the attribute name as key in your payload.
print("Simulation starts")
for t_sim in range(sim_model.t_start, sim_model.t_end + int(COM_STEP),
int(COM_STEP)):
# publish the simulated ambient temperature
mqttc.publish(device_id=weather_station.device_id,
payload={
"temperature": sim_model.t_amb,
"simtime": sim_model.t_sim
})
# publish the simulated zone temperature
mqttc.publish(device_id=zone_temperature_sensor.device_id,
payload={
"temperature": sim_model.t_zone,
"simtime": sim_model.t_sim
})
# publish the 'simtime' for the heater device
mqttc.publish(device_id=heater.device_id,
payload={"simtime": sim_model.t_sim})
# simulation step for next loop
sim_model.do_step(int(t_sim + COM_STEP))
# wait for one second before publishing the next values
time.sleep(SLEEP_TIME)
# Get corresponding entities and write values to history
weather_station_entity = cbc.get_entity(
entity_id=weather_station.entity_name,
entity_type=weather_station.entity_type)
# append the data to the local history
history_weather_station.append({
"simtime":
weather_station_entity.simtime.value,
"temperature":
weather_station_entity.temperature.value
})
# Get ZoneTemperatureSensor and write values to history
zone_temperature_sensor_entity = cbc.get_entity(
entity_id=zone_temperature_sensor.entity_name,
entity_type=zone_temperature_sensor.entity_type)
history_zone_temperature_sensor.append({
"simtime":
zone_temperature_sensor_entity.simtime.value,
"temperature":
zone_temperature_sensor_entity.temperature.value
})
# Get ZoneTemperatureSensor and write values to history
heater_entity = cbc.get_entity(entity_id=heater.entity_name,
entity_type=heater.entity_type)
history_heater_power.append({
"simtime": heater_entity.simtime.value,
"heater_power": sim_model.heater_power
})
# close the mqtt listening thread
mqttc.loop_stop()
# disconnect the mqtt device
mqttc.disconnect()
clear_iot_agent(url=IOTA_URL, fiware_header=fiware_header)
clear_context_broker(url=CB_URL, fiware_header=fiware_header)
return history_weather_station, history_zone_temperature_sensor, history_heater_power
APIKEY = SERVICE_PATH.strip('/')
# Path to read json-files from previous exercises
READ_GROUPS_FILEPATH = \
Path("./e5_iot_thermal_zone_control_groups.json")
READ_DEVICES_FILEPATH = \
Path("./e5_iot_thermal_zone_control_devices.json")
READ_ENTITIES_FILEPATH = \
Path("./e3_context_entities_entities.json")
# ## Main script
if __name__ == '__main__':
# create a fiware header object
fiware_header = FiwareHeader(service=SERVICE, service_path=SERVICE_PATH)
# clear the state of your service and scope
clear_iot_agent(url=IOTA_URL, fiware_header=fiware_header)
clear_context_broker(url=CB_URL, fiware_header=fiware_header)
# Create clients and restore devices and groups from file
groups = parse_file_as(List[ServiceGroup], READ_GROUPS_FILEPATH)
devices = parse_file_as(List[Device], READ_DEVICES_FILEPATH)
entities = parse_file_as(List[ContextEntity], READ_ENTITIES_FILEPATH)
cbc = ContextBrokerClient(url=CB_URL, fiware_header=fiware_header)
for entity in entities:
cbc.post_entity(entity=entity)
iotac = IoTAClient(url=IOTA_URL, fiware_header=fiware_header)
iotac.post_groups(service_groups=groups)
iotac.post_devices(devices=devices)
# ToDo: Retrieve all iot resources from the IoT-Agent