def update_last_runtime(self, end):
"""
write out the updated configuration with the last_run_timestamp
:param end: the current end time last used with ListMetrics()
"""
with open(self.config_file_path, 'r+') as cf:
config = json.load(cf)
config['last_run_timestamp'] = command.unix_time_millis(end) / 1000
cf.seek(0)
json.dump(config, cf)
cf.truncate()
def _process_metrics(self, metrics, start, end):
"""
Loops over all metrics and call GetMetricStatistics() on each that are
included by the configuration.
:param metrics: the array of metrics returned from ListMetrics() ('Metrics')
:param start: the start time
:param end: the end time
"""
with WavefrontProxy(self.proxy_host, self.proxy_port, self.is_dry_run) as wf_proxy:
for m in metrics:
metric_name = '{}.{}'.format(m['Namespace'].lower().replace('/', '.'),
m['MetricName'].lower())
point_tags = {'Namespace': m['Namespace']}
for d in m['Dimensions']:
point_tags[d['Name']] = d['Value']
config = self.get_configuration(m['Namespace'], m['MetricName'])
if config is None or len(config['stats']) == 0:
continue
stats = self.aws_client.get_metric_statistics(
Namespace = m['Namespace'],
MetricName = m['MetricName'],
StartTime = start,
EndTime = end,
Period = 60,
Statistics = config['stats'])
source = self._get_source(config, point_tags, m['Dimensions'])
if not source:
logger.warning('Source is not found in %s', m)
continue
number_of_stats = len(config['stats'])
for stat in stats['Datapoints']:
for s in config['stats']:
short_name = stat_short_name[s]
if number_of_stats == 1 and self.has_suffix_for_single_stat:
full_metric_name = metric_name
else:
full_metric_name = metric_name + '.' + short_name
wf_proxy.transmit_metric(
self.metric_name_prefix + full_metric_name,
stat[s],
command.unix_time_millis(stat['Timestamp']),
source,
point_tags)
