示例#1
0
def metricDataBatchWrite(log):
    """ Context manager for sending metric data samples more efficiently using
  batches.

  :param log: logger object for logging

  On entry, it yields a callable putSample for putting metric data samples:

    putSample(metricName, value, epochTimestamp)

  The user calls putSample for each metricDataSample that it wants to send;
  putSample accumulates incoming samples into a batch and sends each batch to
  Taurus server when optimal batch size is reached. At normal exit, the context
  manager sends remaining samples, if any

  Usage example:

    with metricDataBatchWrite() as putSample:
      putSample(metricName1, value1, epochTimestamp1)
      putSample(metricName2, value2, epochTimestamp2)
      . . .
      putSample(metricNameX, valueX, epochTimestampX)

  """

    # __enter__ part begins here:

    batch = []

    bus = message_bus_connector.MessageBusConnector()

    def sendBatch():
        try:
            msg = json.dumps(dict(protocol="plain", data=batch))
            bus.publish(mqName="taurus.metric.custom.data",
                        body=msg,
                        persistent=True)
            log.info("Published numSamples=%d: first=%r; last=%r", len(batch),
                     str(batch[0]), str(batch[-1]))
        finally:
            del batch[:]

    def putSample(metricName, value, epochTimestamp):
        # NOTE: we use %r for value to avoid loss of accuracy in floats;
        # NOTE: we cast value to float to deal with values like the long 72001L that
        #   would fail the parsing back to float in the receiver.
        batch.append("%s %r %d" % (metricName, float(value), epochTimestamp))
        if len(batch) >= _METRIC_DATA_BATCH_WRITE_SIZE:
            sendBatch()

    with bus:
        yield putSample

        # __exit__ part begins here:

        # Send remnants, if any
        if batch:
            sendBatch()
示例#2
0
import time

import psutil

from nta.utils import message_bus_connector
from nta.utils.config import Config

appConfig = Config("application.conf", os.environ["APPLICATION_CONFIG_PATH"])
MESSAGE_QUEUE_NAME = appConfig.get("metric_listener", "queue_name")


def sendSample(bus, metricName, value, epochTimestamp):
    singleDataPoint = "%s %r %d" % (metricName, float(value), epochTimestamp)
    msg = json.dumps(dict(protocol="plain", data=[singleDataPoint]))
    bus.publish(mqName=MESSAGE_QUEUE_NAME, body=msg, persistent=True)


if __name__ == "__main__":
    bus = message_bus_connector.MessageBusConnector()
    metricName = "cpu_percent"

    print "Sending CPU percent samples to `%s`..." % metricName

    # Send cpu percent every 5 seconds, indefinitely...
    while True:
        sample = psutil.cpu_percent(interval=5)
        ts = int(time.time())
        sendSample(bus, metricName=metricName, value=sample, epochTimestamp=ts)
        print "Sent %f @ %d" % (sample, ts)
        sys.stdout.flush()