def main(argv=None):
if argv is None:
argv = sys.argv[1:]
args = parse_args(
argv, 'Cluster scaling and management for Mesos and Kubernetes')
setup_logging(args.log_level)
setup_config(args)
args.entrypoint(args)
def main(argv=None):
if argv is None:
argv = sys.argv[1:]
args = parse_args(
argv, 'Cluster scaling and management for Mesos and Kubernetes')
setup_logging(args.log_level)
setup_config(args)
try:
args.entrypoint(args)
except Exception as e:
print(f'Exception of type {e.__class__.__name__} occured')
if e.args:
for arg in e.args:
print(arg)
exit(1)
continue
return successful
def write_metrics(self, writer,
metric_generator: Callable[[PoolManager],
Generator[ClusterMetric, None,
None]],
pools: Union[Type[All], List[str]],
schedulers: List['str']) -> None:
for pool, manager in self.pool_managers.items():
if manager.scheduler not in schedulers:
continue
if pools != All and pool not in cast(List[str], pools):
continue
for cluster_metric in metric_generator(manager):
metric_name = generate_key_with_dimensions(
cluster_metric.metric_name, cluster_metric.dimensions)
data = (metric_name, int(time.time()), cluster_metric.value)
logger.info(
f'Writing value {cluster_metric.value} for metric {metric_name} to metric store'
)
writer.send(data)
if __name__ == '__main__':
setup_logging()
ClusterMetricsCollector().start()
def main():
args = parse_args('Mesos cluster scaling and management')
setup_logging(args.log_level)
setup_config(args)
args.entrypoint(args)
