def dump_metric_data(self):
self.logger.debug("PRINTING CONTENTS OF METRIC DATA")
# Read the component state metrics and append them to metrics_data dict
for sev in severities:
for component_name in self.component_names():
self.metric_data.append(self.state[component_name +
sev]['metrics'])
self.logger.debug(self.metric_data)
dump_swiftlm_uptime_data(self.metric_data,
self.cache_file_path,
self.logger)
def test_file_truncated(self):
testdir = tempfile.mkdtemp()
fake_logger = mock.MagicMock()
data = json.dumps([{"metric": "foo", "dimensions": {"hostname": "example.com", "fifth": "dimension"}}])
path = os.path.join(testdir, "junk")
utility.dump_swiftlm_uptime_data(data, path, logger=fake_logger)
with open(path) as f:
self.assertEqual(data, json.load(f))
# now write a shorter data string to the same file
data = json.dumps([{"metric": "foo", "dimensions": {"hostname": "timy.com"}}])
utility.dump_swiftlm_uptime_data(data, path, logger=fake_logger)
with open(path) as f:
self.assertEqual(data, json.load(f))
def dump_metric_data(self):
self.logger.debug("PRINTING CONTENTS OF METRIC DATA")
# Read the component state metrics and append them to metrics_data dict
for component_name in self.component_names():
metric = self.state[component_name]['metrics'].copy()
# Time is now rather than the time we moved to this state
metric['timestamp'] = timestamp()
self.metric_data.append(metric)
self.logger.debug(self.metric_data)
dump_swiftlm_uptime_data(self.metric_data, self.cache_file_path,
self.logger)
def test_file_truncated(self):
testdir = tempfile.mkdtemp()
fake_logger = mock.MagicMock()
data = json.dumps([{
'metric': 'foo',
'dimensions': {
'hostname': 'example.com',
'fifth': 'dimension'
}
}])
path = os.path.join(testdir, 'junk')
utility.dump_swiftlm_uptime_data(data, path, logger=fake_logger)
with open(path) as f:
self.assertEqual(data, json.load(f))
# now write a shorter data string to the same file
data = json.dumps([{
'metric': 'foo',
'dimensions': {
'hostname': 'timy.com',
}
}])
utility.dump_swiftlm_uptime_data(data, path, logger=fake_logger)
with open(path) as f:
self.assertEqual(data, json.load(f))
def run_forever(log_file_name, interval, metric_file, reseller_prefixes,
logger, monasca_agent_interval):
"""
The main cycle loop
:param log_file_name: name of file we are tailing
:param interval: how often we report metrics
:param metric_file: file to dump metrics into
:param reseller_prefixes: list of account prefixes to process
:param logger: a logger
"""
logger.info('Starting. Reading from: %s' % log_file_name)
# Get into sync with wake up interval
WAKE_UP_TIME = 60
time.sleep(sleep_interval(interval, time.time(), WAKE_UP_TIME))
while True:
try:
log_tail = LogTailer(log_file_name)
break
except IOError as err:
if err.errno == 2:
# Log file does not yet exist
time.sleep(sleep_interval(interval, time.time(), WAKE_UP_TIME))
else:
raise err
cycle = 10
metric_data = []
while True:
try:
# Sleep until next wake up
time.sleep(sleep_interval(interval, time.time(), WAKE_UP_TIME))
# Timestamp means the metrics are measurements of the data
# gathered in the *last* time interval (i.e., timestamp is the
# end of the cycle)
timestamp = time.time()
# Read lines written to the log since we last read the file
# and process lines to extract stats.
stats = AccessStatsRecorder()
for line in log_tail.lines():
result = parse_proxy_log_message(
line, reseller_prefixes=reseller_prefixes)
if isinstance(result, dict):
stats.record_op(result.get('verb'),
result.get('http_status'),
result.get('bytes_transferred'),
project=result.get('project'),
container=result.get('container'),
obj=result.get('obj'))
# Convert stats into metric measurements
total_metrics = make_measurements('swiftlm.access.host.operation.',
stats.get_stats(), timestamp)
for measurement in total_metrics:
metric_data.append(measurement)
# Occasionally, log the totals
cycle += 1
if cycle >= 10:
for metric in total_metrics:
logger.info('Metric: %s' % json.dumps(metric))
cycle = 0
for project in stats.get_projects():
project_metrics = make_measurements(
'swiftlm.access.host.operation.project.',
project.get_stats(),
timestamp,
dimensions={'tenant_id': project.get_stats().get('name')})
for measurement in project_metrics:
metric_data.append(measurement)
# Record that we processed data without error
metric_data.append({
'metric': 'swiftlm.access.host.operation.status',
'value': 0,
'timestamp': timestamp,
'dimensions': {
'service': 'object-storage'
},
'value_meta': {
'msg': 'OK'
}
})
except Exception as err: # noqa
metric_data = []
metric_data.append({
'metric': 'swiftlm.access.host.operation.status',
'value': 2,
'timestamp': time.time(),
'dimensions': {
'service': 'object-storage'
},
'value_meta': {
'msg': err
}
})
purge_old_measurements(metric_data, interval, monasca_agent_interval)
dump_swiftlm_uptime_data(metric_data,
metric_file,
logger,
lock_timeout=2)
