189 lines
5.6 KiB
Python
189 lines
5.6 KiB
Python
# Copyright 2018 Objectif Libre
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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#
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from decimal import Decimal
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from decimal import localcontext
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from decimal import ROUND_HALF_UP
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from oslo_config import cfg
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from oslo_log import log
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from voluptuous import In
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from voluptuous import Required
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from voluptuous import Schema
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from cloudkitty import collector
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from cloudkitty.collector.exceptions import CollectError
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from cloudkitty.common.prometheus_client import PrometheusClient
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from cloudkitty.common.prometheus_client import PrometheusResponseError
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from cloudkitty import dataframe
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from cloudkitty import utils as ck_utils
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LOG = log.getLogger(__name__)
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PROMETHEUS_COLLECTOR_OPTS = 'collector_prometheus'
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collector_prometheus_opts = [
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cfg.StrOpt(
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'prometheus_url',
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default='',
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help='Prometheus service URL',
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),
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cfg.StrOpt(
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'prometheus_user',
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help='Prometheus user (for basic auth only)',
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),
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cfg.StrOpt(
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'prometheus_password',
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help='Prometheus user password (for basic auth only)',
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secret=True,
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),
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cfg.StrOpt(
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'cafile',
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help='Custom certificate authority file path',
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),
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cfg.BoolOpt(
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'insecure',
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default=False,
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help='Explicitly trust untrusted HTTPS responses',
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),
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]
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cfg.CONF.register_opts(collector_prometheus_opts, PROMETHEUS_COLLECTOR_OPTS)
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CONF = cfg.CONF
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PROMETHEUS_EXTRA_SCHEMA = {
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Required('extra_args', default={}): {
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Required('aggregation_method', default='max'):
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In([
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'avg', 'count', 'max',
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'min', 'stddev', 'stdvar',
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'sum'
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]),
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}
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}
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class PrometheusCollector(collector.BaseCollector):
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collector_name = 'prometheus'
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def __init__(self, **kwargs):
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super(PrometheusCollector, self).__init__(**kwargs)
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url = CONF.collector_prometheus.prometheus_url
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user = CONF.collector_prometheus.prometheus_user
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password = CONF.collector_prometheus.prometheus_password
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verify = True
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if CONF.collector_prometheus.cafile:
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verify = CONF.collector_prometheus.cafile
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elif CONF.collector_prometheus.insecure:
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verify = False
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self._conn = PrometheusClient(
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url,
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auth=(user, password) if user and password else None,
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verify=verify,
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)
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@staticmethod
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def check_configuration(conf):
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conf = collector.BaseCollector.check_configuration(conf)
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metric_schema = Schema(collector.METRIC_BASE_SCHEMA).extend(
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PROMETHEUS_EXTRA_SCHEMA,
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)
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output = {}
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for metric_name, metric in conf.items():
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output[metric_name] = metric_schema(metric)
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return output
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def _format_data(self, metric_name, scope_key, scope_id, start, end, data):
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"""Formats Prometheus data format to Cloudkitty data format.
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Returns metadata, groupby, qty
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"""
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metadata = {}
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for meta in self.conf[metric_name]['metadata']:
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metadata[meta] = data['metric'][meta]
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groupby = {scope_key: scope_id}
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for meta in self.conf[metric_name]['groupby']:
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groupby[meta] = data['metric'].get(meta, '')
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with localcontext() as ctx:
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ctx.prec = 9
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ctx.rounding = ROUND_HALF_UP
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qty = ck_utils.convert_unit(
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+Decimal(data['value'][1]),
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self.conf[metric_name]['factor'],
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self.conf[metric_name]['offset'],
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)
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return metadata, groupby, qty
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def fetch_all(self, metric_name, start, end, scope_id, q_filter=None):
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"""Returns metrics to be valorized."""
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scope_key = CONF.collect.scope_key
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method = self.conf[metric_name]['extra_args']['aggregation_method']
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groupby = self.conf[metric_name].get('groupby', [])
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metadata = self.conf[metric_name].get('metadata', [])
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period = int((end - start).total_seconds())
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time = end
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query = '{0}({0}_over_time({1}{{{2}="{3}"}}[{4}s])) by ({5})'.format(
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method,
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metric_name,
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scope_key,
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scope_id,
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period,
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', '.join(groupby + metadata),
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)
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try:
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res = self._conn.get_instant(
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query,
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time.isoformat(),
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)
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except PrometheusResponseError as e:
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raise CollectError(*e.args)
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# If the query returns an empty dataset,
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# return an empty list
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if not res['data']['result']:
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return []
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formatted_resources = []
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for item in res['data']['result']:
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metadata, groupby, qty = self._format_data(
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metric_name,
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scope_key,
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scope_id,
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start,
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end,
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item,
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)
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formatted_resources.append(dataframe.DataPoint(
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self.conf[metric_name]['unit'],
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qty,
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0,
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groupby,
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metadata,
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))
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return formatted_resources
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