# # Copyright 2015 Reliance Jio Infocomm Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. from collections import namedtuple from awsauth import S3Auth import requests import six.moves.urllib.parse as urlparse from ceilometer.i18n import _ class RGWAdminAPIFailed(Exception): pass class RGWAdminClient(object): Bucket = namedtuple('Bucket', 'name, num_objects, size') def __init__(self, endpoint, access_key, secret_key): self.access_key = access_key self.secret = secret_key self.endpoint = endpoint self.hostname = urlparse.urlparse(endpoint).netloc def _make_request(self, path, req_params): uri = "{0}/{1}".format(self.endpoint, path) r = requests.get(uri, params=req_params, auth=S3Auth(self.access_key, self.secret, self.hostname) ) if r.status_code != 200: raise RGWAdminAPIFailed( _('RGW AdminOps API returned %(status)s %(reason)s') % {'status': r.status_code, 'reason': r.reason}) return r.json() def get_bucket(self, tenant_id): path = "bucket" req_params = {"uid": tenant_id, "stats": "true"} json_data = self._make_request(path, req_params) stats = {'num_buckets': 0, 'buckets': [], 'size': 0, 'num_objects': 0} stats['num_buckets'] = len(json_data) for it in json_data: for k, v in it["usage"].items(): stats['num_objects'] += v["num_objects"] stats['size'] += v["size_kb"] stats['buckets'].append(self.Bucket(it["bucket"], v["num_objects"], v["size_kb"])) return stats def get_usage(self, tenant_id): path = "usage" req_params = {"uid": tenant_id} json_data = self._make_request(path, req_params) usage_data = json_data["summary"] return sum((it["total"]["ops"] for it in usage_data))