def runServer(host="0.0.0.0", port=None, protocol=Protocol.PLAIN,
transport=Transport.TCP):
Protocol.current = protocol
if port is None:
port = Protocol.getDefaultPort(protocol)
LOGGER.info("Starting with host=%s, port=%s, protocol=%s, transport=%s",
host, port, protocol, transport)
if transport == Transport.UDP:
server = ThreadedUDPServer((host, port), UDPHandler)
elif transport == Transport.TCP:
server = ThreadedTCPServer((host, port), TCPHandler)
config = Config("application.conf",
os.environ["APPLICATION_CONFIG_PATH"])
global gQueueName
gQueueName = config.get("metric_listener", "queue_name")
global gProfiling
gProfiling = (config.getboolean("debugging", "profiling") or
LOGGER.isEnabledFor(logging.DEBUG))
# Serve until there is an interrupt
server.serve_forever()
def runServer(host="0.0.0.0", port=None, protocol=Protocol.PLAIN,
transport=Transport.TCP):
Protocol.current = protocol
if port is None:
port = Protocol.getDefaultPort(protocol)
LOGGER.info("Starting with host=%s, port=%s, protocol=%s, transport=%s",
host, port, protocol, transport)
if transport == Transport.UDP:
server = ThreadedUDPServer((host, port), UDPHandler)
elif transport == Transport.TCP:
server = ThreadedTCPServer((host, port), TCPHandler)
config = Config("application.conf",
os.environ["APPLICATION_CONFIG_PATH"])
global gQueueName
gQueueName = config.get("metric_listener", "queue_name")
global gProfiling
gProfiling = (config.getboolean("debugging", "profiling") or
LOGGER.isEnabledFor(logging.DEBUG))
# Serve until there is an interrupt
server.serve_forever()
def runServer():
# Get the current list of custom metrics
appConfig = Config("application.conf",
os.environ.get("APPLICATION_CONFIG_PATH"))
engine = repository.engineFactory(appConfig)
global gCustomMetrics
now = datetime.datetime.utcnow()
with engine.connect() as conn:
gCustomMetrics = dict(
(m.name, [m, now]) for m in repository.getCustomMetrics(conn))
queueName = appConfig.get("metric_listener", "queue_name")
global gProfiling
gProfiling = (appConfig.getboolean("debugging", "profiling") or
LOGGER.isEnabledFor(logging.DEBUG))
del appConfig
metricStreamer = MetricStreamer()
modelSwapper = ModelSwapperInterface()
with MessageBusConnector() as bus:
if not bus.isMessageQeueuePresent(queueName):
bus.createMessageQueue(mqName=queueName, durable=True)
LOGGER.info("Waiting for messages. To exit, press CTRL+C")
with bus.consume(queueName) as consumer:
messages = []
messageRxTimes = []
while True:
message = consumer.pollOneMessage()
if message is not None:
messages.append(message)
if gProfiling:
messageRxTimes.append(time.time())
if message is None or len(messages) >= MAX_MESSAGES_PER_BATCH:
if messages:
# Process the batch
try:
_handleBatch(engine,
messages,
messageRxTimes,
metricStreamer,
modelSwapper)
except Exception: # pylint: disable=W0703
LOGGER.exception("Unknown failure in processing messages.")
# Make sure that we ack messages when there is an unexpected error
# to avoid getting hung forever on one bad record.
# Ack all the messages
messages[-1].ack(multiple=True)
# Clear the message buffer
messages = []
messageRxTimes = []
else:
# Queue is empty, wait before retrying
time.sleep(POLL_DELAY_SEC)
def runServer():
# Get the current list of custom metrics
appConfig = Config("application.conf",
os.environ["APPLICATION_CONFIG_PATH"])
engine = repository.engineFactory(appConfig)
global gCustomMetrics
now = datetime.datetime.utcnow()
with engine.connect() as conn:
gCustomMetrics = dict(
(m.name, [m, now]) for m in repository.getCustomMetrics(conn))
queueName = appConfig.get("metric_listener", "queue_name")
global gProfiling
gProfiling = (appConfig.getboolean("debugging", "profiling") or
LOGGER.isEnabledFor(logging.DEBUG))
del appConfig
metricStreamer = MetricStreamer()
modelSwapper = ModelSwapperInterface()
with MessageBusConnector() as bus:
if not bus.isMessageQeueuePresent(queueName):
bus.createMessageQueue(mqName=queueName, durable=True)
LOGGER.info("Waiting for messages. To exit, press CTRL+C")
with bus.consume(queueName) as consumer:
messages = []
messageRxTimes = []
while True:
message = consumer.pollOneMessage()
if message is not None:
messages.append(message)
if gProfiling:
messageRxTimes.append(time.time())
if message is None or len(messages) >= MAX_MESSAGES_PER_BATCH:
if messages:
# Process the batch
try:
_handleBatch(engine,
messages,
messageRxTimes,
metricStreamer,
modelSwapper)
except Exception: # pylint: disable=W0703
LOGGER.exception("Unknown failure in processing messages.")
# Make sure that we ack messages when there is an unexpected error
# to avoid getting hung forever on one bad record.
# Ack all the messages
messages[-1].ack(multiple=True)
# Clear the message buffer
messages = []
messageRxTimes = []
else:
# Queue is empty, wait before retrying
time.sleep(POLL_DELAY_SEC)