def run_example(domain_id, sample_count):
# A DomainParticipant allows an application to begin communicating in
# a DDS domain. Typically there is one DomainParticipant per application.
# Create a DomainParticipant with default Qos
with dds.DomainParticipant(domain_id) as participant:
# A QosProvider is used here to get the type from the file
# HelloWorld.xml
provider = dds.QosProvider(FILE)
provider_type = provider.type("HelloWorld")
# A Topic has a name and a datatype. Create a Topic named
# "HelloWorld Topic" with type HelloWorld
topic = dds.DynamicData.Topic(
participant, "Example HelloWorld", provider_type
)
# A Subscriber allows an application to create one or more DataReaders
# Subscriber QoS is configured in USER_QOS_PROFILES.xml
subscriber = dds.Subscriber(participant)
# This DataReader will read data of type HelloWorld on Topic
# "HelloWorld Topic". DataReader QoS is configured in
# USER_QOS_PROFILES.xml
reader = dds.DynamicData.DataReader(subscriber, topic)
# Obtain the DataReader's Status Condition
status_condition = dds.StatusCondition(reader)
# Enable the 'data available' status.
status_condition.enabled_statuses = dds.StatusMask.data_available()
# Initialize samples_read to zero
samples_read = 0
# Associate a handler with the status condition. This will run when the
# condition is triggered, in the context of the dispatch call (see below)
def handler(_): # condition argument is not used
nonlocal samples_read
nonlocal reader
samples_read += process_data(reader)
status_condition.set_handler(handler)
# Create a WaitSet and attach the StatusCondition
waitset = dds.WaitSet()
waitset += status_condition
# Catch control c interrupt
try:
while samples_read < sample_count:
# Dispatch will call the handlers associated to the WaitSet conditions
# when they activate
print(f"Hello World subscriber sleeping for 4 seconds...")
waitset.dispatch(dds.Duration(4)) # Wait up to 4s each time
except KeyboardInterrupt:
pass
def test_set_qos_exception():
p = dds.DomainParticipant(DOMAIN_ID, dds.DomainParticipantQos())
qos = p.qos
d = dds.Duration(77)
db = dds.Database()
db.shutdown_cleanup_period = d
qos << db
with pytest.raises(dds.ImmutablePolicyError):
p.qos = qos
def run_example(domain_id, sample_count, sensor_id):
# A DomainParticipant allows an application to begin communicating in
# a DDS domain. Typically there is one DomainParticipant per application.
# Create a DomainParticipant with default Qos
participant = dds.DomainParticipant(domain_id)
# A Topic has a name and a datatype. Create a Topic named
# "ChocolateTemperature" with type Temperature
temperature_type = dds.QosProvider(FILE).type("Temperature")
topic = dds.DynamicData.Topic(participant, "ChocolateTemperature",
temperature_type)
# A Subscriber allows an application to create one or more DataReaders
# Subscriber QoS is configured in USER_QOS_PROFILES.xml
subscriber = dds.Subscriber(participant)
# This DataReader reads data of type Temperature on Topic
# "ChocolateTemperature". DataReader QoS is configured in
# USER_QOS_PROFILES.xml
reader = dds.DynamicData.DataReader(subscriber, topic)
# Obtain the DataReader's Status Condition
status_condition = dds.StatusCondition(reader)
# Enable the 'data available' status.
status_condition.enabled_statuses = dds.StatusMask.data_available()
# Associate a handler with the status condition. This will run when the
# condition is triggered, in the context of the dispatch call (see below)
samples_read = 0
def handler(_):
nonlocal samples_read
nonlocal reader
samples_read += process_data(reader)
status_condition.set_handler(handler)
# Create a WaitSet and attach the StatusCondition
waitset = dds.WaitSet()
waitset += status_condition
try:
# Dispatch will call the handlers associated to the WaitSet conditions
# when they activate
while sample_count is None or samples_read < sample_count:
print("ChocolateTemperature subcriber sleeping for 4 sec...")
waitset.dispatch(dds.Duration(4)) # Wait up to 4s each time
except KeyboardInterrupt:
pass
def run_example(domain_id, sensor_id):
# A DomainParticipant allows an application to begin communicating in
# a DDS domain. Typically there is one DomainParticipant per application.
# DomainParticipant QoS is configured in USER_QOS_PROFILES.xml
participant = dds.DomainParticipant(domain_id)
# A Topic has a name and a datatype. Create Topics.
# Topic names are constants defined in the XML file.
temperature_topic = dds.DynamicData.Topic(participant,
CHOCOLATE_TEMPERATURE_TOPIC,
TEMPERATURE_TYPE)
lot_state_topic = dds.DynamicData.Topic(participant,
CHOCOLATE_LOT_STATE_TOPIC,
CHOCOLATE_LOT_TYPE)
# A Publisher allows an application to create one or more DataWriters
# Publisher QoS is configured in USER_QOS_PROFILES.xml
publisher = dds.Publisher(participant)
# Create DataWriters of Topics "ChocolateTemperature" & "ChocolateLotState"
# DataWriter QoS is configured in USER_QOS_PROFILES.xml
temperature_writer = dds.DynamicData.DataWriter(publisher,
temperature_topic)
lot_state_writer = dds.DynamicData.DataWriter(publisher, lot_state_topic)
# A Subscriber allows an application to create one or more DataReaders
# Subscriber QoS is configured in USER_QOS_PROFILES.xml
subscriber = dds.Subscriber(participant)
# Create DataReader of Topic "ChocolateLotState".
# DataReader QoS is configured in USER_QOS_PROFILES.xml
lot_state_reader = dds.DynamicData.DataReader(subscriber, lot_state_topic)
# Obtain the DataReader's Status Condition
status_condition = dds.StatusCondition(lot_state_reader)
# Enable the 'data available' status.
status_condition.enabled_statuses = dds.StatusMask.data_available()
# Associate a handler with the status condition. This will run when the
# condition is triggered, in the context of the dispatch call (see below)
def handler(_):
nonlocal lot_state_reader
nonlocal lot_state_writer
process_lot(lot_state_reader, lot_state_writer)
# Create a WaitSet and attach the StatusCondition
status_condition.set_handler(handler)
waitset = dds.WaitSet()
waitset += status_condition
# Create a thread to periodically publish the temperature
print(f"ChocolateTemperature Sensor with ID: {sensor_id} starting")
temperature_thread = threading.Thread(target=publish_temperature,
args=(temperature_writer, sensor_id))
temperature_thread.start()
try:
while True:
# Wait for ChocolateLotState
print("Waiting for lot")
waitset.dispatch(dds.Duration(10)) # Wait up to 10s for update
except KeyboardInterrupt:
pass
temperature_thread.join()
def run_example(domain_id, lots_to_process, sensor_id):
# A DomainParticipant allows an application to begin communicating in
# a DDS domain. Typically there is one DomainParticipant per application.
# DomainParticipant QoS is configured in USER_QOS_PROFILES.xml
participant = dds.DomainParticipant(domain_id)
# A Topic has a name and a datatype. Create a Topic with type
# ChocolateLotState. Topic name is a constant defined in the XML file.
topic = dds.DynamicData.Topic(participant, CHOCOLATE_LOT_STATE_TOPIC,
CHOCOLATE_LOT_TYPE)
# Exercise #4.1: Add a Topic for Temperature to this application
temperature_topic = dds.DynamicData.Topic(participant,
CHOCOLATE_TEMPERATURE_TOPIC,
provider.type("Temperature"))
# A Publisher allows an application to create one or more DataWriters
# Publisher QoS is configured in USER_QOS_PROFILES.xml
publisher = dds.Publisher(participant)
# This DataWriter writes data on Topic "ChocolateLotState"
# DataWriter QoS is configured in USER_QOS_PROFILES.xml
writer = dds.DynamicData.DataWriter(publisher, topic)
# A Subscriber allows an application to create one or more DataReaders
# Subscriber QoS is configured in USER_QOS_PROFILES.xml
subscriber = dds.Subscriber(participant)
# Create DataReader of Topic "ChocolateLotState".
# DataReader QoS is configured in USER_QOS_PROFILES.xml
reader = dds.DynamicData.DataReader(subscriber, topic)
# Exercise #4.2: Add a DataReader for Temperature to this application
temperature_reader = dds.DynamicData.DataReader(subscriber,
temperature_topic)
# Obtain the DataReader's Status Condition
status_condition = dds.StatusCondition(reader)
# Enable the 'data available' status.
status_condition.enabled_statuses = dds.StatusMask.data_available()
# Associate a handler with the status condition. This will run when the
# condition is triggered, in the context of the dispatch call (see below)
lots_processed = 0
def handler(_):
nonlocal lots_processed
nonlocal reader
lots_processed += monitor_lot_state(reader)
status_condition.set_handler(handler)
temperature_status_condition = dds.StatusCondition(reader)
temperature_status_condition.enabled_statuses = (
dds.StatusMask.data_available())
def temperature_handler(_):
nonlocal temperature_reader
monitor_lot_state(temperature_reader)
temperature_status_condition.set_handler(temperature_handler)
# Create a WaitSet and attach the StatusCondition
waitset = dds.WaitSet()
waitset += status_condition
# Exercise #4.3: Add the new DataReader's StatusCondition to the Waitset
waitset += temperature_status_condition
# Create a thread to periodically publish the temperature
start_lot_thread = threading.Thread(target=publish_start_lot,
args=(writer, lots_to_process))
start_lot_thread.start()
try:
while lots_to_process is None or lots_processed < lots_to_process:
# Dispatch will call the handlers associated to the WaitSet conditions
# when they activate
waitset.dispatch(dds.Duration(4)) # Wait for up to 4s each time
except KeyboardInterrupt:
pass
start_lot_thread.join()