Current File : //lib/python2.7/site-packages/euca2ools/commands/monitoring/listmetrics.py
# Copyright (c) 2013-2016 Hewlett Packard Enterprise Development LP
#
# Redistribution and use of this software in source and binary forms,
# with or without modification, are permitted provided that the following
# conditions are met:
#
# Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
#
# Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
from requestbuilder import Arg
from requestbuilder.mixins import TabifyingMixin
from requestbuilder.response import PaginatedResponse
from euca2ools.commands.argtypes import delimited_list
from euca2ools.commands.monitoring import CloudWatchRequest
from euca2ools.commands.monitoring.argtypes import cloudwatch_dimension
class ListMetrics(CloudWatchRequest, TabifyingMixin):
DESCRIPTION = 'Show a list of monitoring metrics'
ARGS = [Arg('-d', '--dimensions', dest='Dimensions.member',
metavar='KEY1=VALUE1,KEY2=VALUE2,...',
type=delimited_list(',', item_type=cloudwatch_dimension),
help='limit results to metrics with specific dimensions'),
Arg('-m', '--metric-name', dest='MetricName', metavar='METRIC',
help='limit results to a specific metric'),
Arg('-n', '--namespace', dest='Namespace', metavar='NAMESPACE',
help='limit results to metrics in a specific namespace')]
LIST_TAGS = ['Metrics', 'Dimensions']
def main(self):
return PaginatedResponse(self, (None,), ('Metrics',))
def prepare_for_page(self, page):
self.params['NextToken'] = page
# pylint: disable=no-self-use
def get_next_page(self, response):
return response.get('NextToken') or None
# pylint: enable=no-self-use
def print_result(self, result):
out_lines = []
for metric in sorted(result.get('Metrics', [])):
if len(metric.get('Dimensions', [])) > 0:
formatted_dims = ['{0}={1}'.format(dimension.get('Name'),
dimension.get('Value'))
for dimension in metric['Dimensions']]
out_lines.append((metric.get('MetricName'),
metric.get('Namespace'),
'{{{0}}}'.format(','.join(formatted_dims))))
else:
out_lines.append((metric.get('MetricName'),
metric.get('Namespace'), None))
for out_line in sorted(out_lines):
print self.tabify(out_line)
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