/usr/lib/python2.7/dist-packages/gnocchiclient/v1/metric.py is in python-gnocchiclient 7.0.1-0ubuntu1.
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# 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.
import datetime
import uuid
from debtcollector import removals
import iso8601
import json
from gnocchiclient import utils
from gnocchiclient.v1 import base
class MetricManager(base.Manager):
metric_url = "v1/metric/"
resource_url = "v1/resource/generic/%s/metric/"
metric_batch_url = "v1/batch/metrics/measures"
resources_batch_url = "v1/batch/resources/metrics/measures"
def list(self, limit=None, marker=None, sorts=None):
"""List metrics
:param limit: maximum number of resources to return
:type limit: int
:param marker: the last item of the previous page; we return the next
results after this value.
:type marker: str
:param sorts: list of resource attributes to order by. (example
["user_id:desc-nullslast", "project_id:asc"]
:type sorts: list of str
"""
params = utils.build_pagination_options(False, False, limit, marker,
sorts)
metrics = []
page_url = "%s?%s" % (self.metric_url[:-1],
utils.dict_to_querystring(params))
while page_url:
page = self._get(page_url)
metrics.extend(page.json())
if limit is None or len(metrics) < limit:
page_url = page.links.get("next", {'url': None})['url']
else:
break
return metrics
@staticmethod
def _ensure_metric_is_uuid(metric, attribute="resource_id"):
try:
uuid.UUID(metric)
except ValueError:
raise TypeError("%s is required to get a metric by name" %
attribute)
def get(self, metric, resource_id=None):
"""Get an metric
:param metric: ID or Name of the metric
:type metric: str
:param resource_id: ID of the resource (required
to get a metric by name)
:type resource_id: str
"""
if resource_id is None:
self._ensure_metric_is_uuid(metric)
url = self.metric_url + metric
else:
url = (self.resource_url % resource_id) + metric
return self._get(url).json()
# FIXME(jd): This is what create will be after debtcollector warnings have
# been removed. We provide it right now for the benchmark code, that can't
# pickle a debtcollector-ed method.
def _create_new(self, name=None, archive_policy_name=None,
resource_id=None, unit=None):
"""Create an metric
:param name: Metric name.
:type name: str
:param archive_policy_name: Archive policy name.
:type archive_policy_name: str
:param resource_id: The resource ID to attach the metric to.
:type resource_id: str
:param unit: The unit of the metric.
:type unit: str
"""
metric = {}
if name is not None:
metric["name"] = name
if archive_policy_name is not None:
metric["archive_policy_name"] = archive_policy_name
if unit is not None:
metric["unit"] = unit
if resource_id is None:
return self._post(
self.metric_url, headers={'Content-Type': "application/json"},
data=ujson.dumps(metric)).json()
if name is None:
raise TypeError(
"Metric name is required if resource_id is set")
return self._post(
self.resource_url % resource_id,
headers={'Content-Type': "application/json"},
data=ujson.dumps({name: metric})).json()[0]
# FIXME(jd): remove refetch_metric when LP#1497171 is fixed
@removals.removed_kwarg("refetch_metric")
@removals.removed_kwarg("metric")
def create(self, metric=None, refetch_metric=True,
name=None,
archive_policy_name=None,
resource_id=None,
unit=None):
"""Create an metric
:param name: Metric name.
:type name: str
:param archive_policy_name: Archive policy name.
:type archive_policy_name: str
:param resource_id: The resource ID to attach the metric to.
:type resource_id: str
:param unit: The unit of the metric.
:type unit: str
"""
if metric is None:
metric = {}
if name is not None:
metric["name"] = name
if archive_policy_name is not None:
metric["archive_policy_name"] = archive_policy_name
if resource_id is not None:
metric["resource_id"] = resource_id
if unit is not None:
metric["unit"] = unit
resource_id = metric.get('resource_id')
if resource_id is None:
metric = self._post(
self.metric_url, headers={'Content-Type': "application/json"},
data=json.dumps(metric)).json()
# FIXME(sileht): create and get have a
# different output: LP#1497171
if refetch_metric:
return self.get(metric["id"])
return metric
metric_name = metric.get('name')
if metric_name is None:
raise TypeError("metric_name is required if resource_id is set")
del metric['resource_id']
metric = {metric_name: metric}
metric = self._post(
self.resource_url % resource_id,
headers={'Content-Type': "application/json"},
data=json.dumps(metric))
return self.get(metric_name, resource_id)
def delete(self, metric, resource_id=None):
"""Delete an metric
:param metric: ID or Name of the metric
:type metric: str
:param resource_id: ID of the resource (required
to get a metric by name)
:type resource_id: str
"""
if resource_id is None:
self._ensure_metric_is_uuid(metric)
url = self.metric_url + metric
else:
url = self.resource_url % resource_id + metric
self._delete(url)
def add_measures(self, metric, measures, resource_id=None):
"""Add measurements to a metric
:param metric: ID or Name of the metric
:type metric: str
:param resource_id: ID of the resource (required
to get a metric by name)
:type resource_id: str
:param measures: measurements
:type measures: list of dict(timestamp=timestamp, value=float)
"""
if resource_id is None:
self._ensure_metric_is_uuid(metric)
url = self.metric_url + metric + "/measures"
else:
url = self.resource_url % resource_id + metric + "/measures"
return self._post(
url, headers={'Content-Type': "application/json"},
data=json.dumps(measures))
def batch_metrics_measures(self, measures):
"""Add measurements to metrics
:param measures: measurements
:type dict(metric_id: list of dict(timestamp=timestamp, value=float))
"""
return self._post(
self.metric_batch_url,
headers={'Content-Type': "application/json"},
data=json.dumps(measures))
def batch_resources_metrics_measures(self, measures, create_metrics=False):
"""Add measurements to named metrics if resources
:param measures: measurements
:type dict(resource_id: dict(metric_name:
list of dict(timestamp=timestamp, value=float)))
"""
return self._post(
self.resources_batch_url,
headers={'Content-Type': "application/json"},
data=json.dumps(measures),
params=dict(create_metrics=create_metrics))
def get_measures(self, metric, start=None, stop=None, aggregation=None,
granularity=None, resource_id=None, refresh=False,
resample=None, **kwargs):
"""Get measurements of a metric
:param metric: ID or Name of the metric
:type metric: str
:param start: beginning of the period
:type start: timestamp
:param stop: end of the period
:type stop: timestamp
:param aggregation: aggregation to retrieve
:type aggregation: str
:param granularity: granularity to retrieve (in seconds)
:type granularity: int
:param resource_id: ID of the resource (required
to get a metric by name)
:type resource_id: str
:param refresh: force aggregation of all known measures
:type refresh: bool
:param resample: resample measures to new granularity
:type resample: float
All other arguments are arguments are dedicated to custom aggregation
method passed as-is to the Gnocchi.
"""
if isinstance(start, datetime.datetime):
start = start.isoformat()
if isinstance(stop, datetime.datetime):
stop = stop.isoformat()
params = dict(start=start, stop=stop, aggregation=aggregation,
granularity=granularity, refresh=refresh,
resample=resample)
params.update(kwargs)
if resource_id is None:
self._ensure_metric_is_uuid(metric)
url = self.metric_url + metric + "/measures"
else:
url = self.resource_url % resource_id + metric + "/measures"
measures = self._get(url, params=params).json()
return [(iso8601.parse_date(ts), g, value)
for ts, g, value in measures]
def aggregation(self, metrics, query=None,
start=None, stop=None, aggregation=None,
reaggregation=None, granularity=None,
needed_overlap=None, resource_type="generic",
groupby=None, refresh=False, resample=None, fill=None):
"""Get measurements of an aggregated metrics
:param metrics: IDs of metric or metric name
:type metric: list or str
:param query: The query dictionary
:type query: dict
:param start: beginning of the period
:type start: timestamp
:param stop: end of the period
:type stop: timestamp
:param aggregation: granularity aggregation function to retrieve
:type aggregation: str
:param reaggregation: groupby aggregation function to retrieve
:type reaggregation: str
:param granularity: granularity to retrieve (in seconds)
:type granularity: int
:param needed_overlap: percent of datapoints in each metrics required
:type needed_overlap: float
:param resource_type: type of resource for the query
:type resource_type: str
:param groupby: list of attribute to group by
:type groupby: list
:param refresh: force aggregation of all known measures
:type refresh: bool
:param resample: resample measures to new granularity
:type resample: float
:param fill: value to use when backfilling missing datapoints
:type fill: float or 'null'
See Gnocchi REST API documentation for the format
of *query dictionary*
http://docs.openstack.org/developer/gnocchi/rest.html#searching-for-resources
"""
if isinstance(start, datetime.datetime):
start = start.isoformat()
if isinstance(stop, datetime.datetime):
stop = stop.isoformat()
params = dict(start=start, stop=stop, aggregation=aggregation,
reaggregation=reaggregation, granularity=granularity,
needed_overlap=needed_overlap, groupby=groupby,
refresh=refresh, resample=resample, fill=fill)
if query is None:
for metric in metrics:
self._ensure_metric_is_uuid(metric)
params['metric'] = metrics
measures = self._get("v1/aggregation/metric",
params=params).json()
else:
if isinstance(query, dict):
measures = self._post(
"v1/aggregation/resource/%s/metric/%s?%s" % (
resource_type, metrics,
utils.dict_to_querystring(params)),
headers={'Content-Type': "application/json"},
data=json.dumps(query)).json()
else:
params['filter'] = query
measures = self._post(
"v1/aggregation/resource/%s/metric/%s?%s" % (
resource_type, metrics,
utils.dict_to_querystring(params)),
headers={'Content-Type': "application/json"}).json()
if groupby is None:
return [(iso8601.parse_date(ts), g, value)
for ts, g, value in measures]
for group in measures:
group["measures"] = [
(iso8601.parse_date(ts), g, value)
for ts, g, value in group["measures"]
]
return measures
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