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# Copyright 2017 Intel Research and Development Ireland Limited
# *************************************************************
# This file is part of OSM Monitoring module
# All Rights Reserved to Intel Corporation
# 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.
# For those usages not covered by the Apache License, Version 2.0 please
# contact: helena.mcgough@intel.com or adrian.hoban@intel.com
##
"""Carry out OpenStack metric requests via Gnocchi API."""
import datetime
import json
import logging
import time
import six
import yaml
from osm_mon.core.message_bus.producer import KafkaProducer
from osm_mon.core.settings import Config
from osm_mon.plugins.OpenStack.common import Common
from osm_mon.plugins.OpenStack.response import OpenStack_Response
log = logging.getLogger(__name__)
METRIC_MAPPINGS = {
"average_memory_utilization": "memory.usage",
"disk_read_ops": "disk.read.requests",
"disk_write_ops": "disk.write.requests",
"disk_read_bytes": "disk.read.bytes",
"disk_write_bytes": "disk.write.bytes",
"packets_dropped": "interface.if_dropped",
"packets_received": "interface.if_packets",
"packets_sent": "interface.if_packets",
"cpu_utilization": "cpu_util",
}
PERIOD_MS = {
"HR": 3600000,
"DAY": 86400000,
"WEEK": 604800000,
"MONTH": 2629746000,
"YEAR": 31556952000
}
class Metrics(object):
"""OpenStack metric requests performed via the Gnocchi API."""
def __init__(self):
"""Initialize the metric actions."""
# Configure an instance of the OpenStack metric plugin
config = Config.instance()
config.read_environ()
# Initialise authentication for API requests
self._common = Common()
# Use the Response class to generate valid json response messages
self._response = OpenStack_Response()
# Initializer a producer to send responses back to SO
self._producer = KafkaProducer("metric_response")
def metric_calls(self, message, vim_uuid):
"""Consume info from the message bus to manage metric requests."""
try:
values = json.loads(message.value)
except ValueError:
values = yaml.safe_load(message.value)
log.info("OpenStack metric action required.")
auth_token = Common.get_auth_token(vim_uuid)
endpoint = Common.get_endpoint("metric", vim_uuid)
if 'metric_name' in values and values['metric_name'] not in METRIC_MAPPINGS.keys():
raise ValueError('Metric ' + values['metric_name'] + ' is not supported.')
if message.key == "create_metric_request":
# Configure metric
metric_details = values['metric_create_request']
metric_id, resource_id, status = self.configure_metric(
endpoint, auth_token, metric_details)
# Generate and send a create metric response
try:
resp_message = self._response.generate_response(
'create_metric_response', status=status,
cor_id=metric_details['correlation_id'],
metric_id=metric_id, r_id=resource_id)
log.info("Response messages: %s", resp_message)
self._producer.create_metrics_resp(
'create_metric_response', resp_message)
except Exception as exc:
log.warning("Failed to create response: %s", exc)
elif message.key == "read_metric_data_request":
# Read all metric data related to a specified metric
timestamps, metric_data = self.read_metric_data(
endpoint, auth_token, values)
# Generate and send a response message
try:
metric_id = self.get_metric_id(endpoint, auth_token, METRIC_MAPPINGS[values['metric_name']],
values['resource_uuid'])
resp_message = self._response.generate_response(
'read_metric_data_response',
m_id=metric_id,
m_name=values['metric_name'],
r_id=values['resource_uuid'],
cor_id=values['correlation_id'],
times=timestamps, metrics=metric_data)
log.info("Response message: %s", resp_message)
self._producer.read_metric_data_response(
'read_metric_data_response', resp_message)
except Exception as exc:
log.warning("Failed to send read metric response:%s", exc)
elif message.key == "delete_metric_request":
# delete the specified metric in the request
metric_id = self.get_metric_id(endpoint, auth_token, METRIC_MAPPINGS[values['metric_name']],
values['resource_uuid'])
status = self.delete_metric(
endpoint, auth_token, metric_id)
# Generate and send a response message
try:
resp_message = self._response.generate_response(
'delete_metric_response', m_id=metric_id,
m_name=values['metric_name'],
status=status, r_id=values['resource_uuid'],
cor_id=values['correlation_id'])
log.info("Response message: %s", resp_message)
self._producer.delete_metric_response(
'delete_metric_response', resp_message)
except Exception as exc:
log.warning("Failed to send delete response:%s", exc)
elif message.key == "update_metric_request":
# Gnocchi doesn't support configuration updates
# Log and send a response back to this effect
log.warning("Gnocchi doesn't support metric configuration\
updates.")
req_details = values['metric_create_request']
metric_name = req_details['metric_name']
resource_id = req_details['resource_uuid']
metric_id = self.get_metric_id(
endpoint, auth_token, metric_name, resource_id)
# Generate and send a response message
try:
resp_message = self._response.generate_response(
'update_metric_response', status=False,
cor_id=req_details['correlation_id'],
r_id=resource_id, m_id=metric_id)
log.info("Response message: %s", resp_message)
self._producer.update_metric_response(
'update_metric_response', resp_message)
except Exception as exc:
log.exception("Failed to send an update response:")
elif message.key == "list_metric_request":
list_details = values['metrics_list_request']
metric_list = self.list_metrics(
endpoint, auth_token, list_details)
# Generate and send a response message
try:
resp_message = self._response.generate_response(
'list_metric_response', m_list=metric_list,
cor_id=list_details['correlation_id'])
log.info("Response message: %s", resp_message)
self._producer.list_metric_response(
'list_metric_response', resp_message)
except Exception as exc:
log.warning("Failed to send a list response:%s", exc)
else:
log.warning("Unknown key, no action will be performed.")
return
def configure_metric(self, endpoint, auth_token, values):
"""Create the new metric in Gnocchi."""
try:
resource_id = values['resource_uuid']
except KeyError:
log.warning("Resource is not defined correctly.")
return None, None, False
# Check/Normalize metric name
norm_name, metric_name = self.get_metric_name(values)
if metric_name is None:
log.warning("This metric is not supported by this plugin.")
return None, resource_id, False
# Check for an existing metric for this resource
metric_id = self.get_metric_id(
endpoint, auth_token, metric_name, resource_id)
if metric_id is None:
# Try appending metric to existing resource
try:
base_url = "{}/v1/resource/generic/%s/metric"
res_url = base_url.format(endpoint) % resource_id
payload = {metric_name: {'archive_policy_name': 'high',
'unit': values['metric_unit']}}
result = Common.perform_request(
res_url, auth_token, req_type="post",
payload=json.dumps(payload, sort_keys=True))
# Get id of newly created metric
for row in json.loads(result.text):
if row['name'] == metric_name:
metric_id = row['id']
log.info("Appended metric to existing resource.")
return metric_id, resource_id, True
except Exception as exc:
# Gnocchi version of resource does not exist creating a new one
log.info("Failed to append metric to existing resource:%s",
exc)
try:
url = "{}/v1/resource/generic".format(endpoint)
metric = {'name': metric_name,
'archive_policy_name': 'high',
'unit': values['metric_unit'], }
resource_payload = json.dumps({'id': resource_id,
'metrics': {
metric_name: metric}}, sort_keys=True)
resource = Common.perform_request(
url, auth_token, req_type="post",
payload=resource_payload)
# Return the newly created resource_id for creating alarms
new_resource_id = json.loads(resource.text)['id']
log.info("Created new resource for metric: %s",
new_resource_id)
metric_id = self.get_metric_id(
endpoint, auth_token, metric_name, new_resource_id)
return metric_id, new_resource_id, True
except Exception as exc:
log.warning("Failed to create a new resource:%s", exc)
return None, None, False
else:
log.info("This metric already exists for this resource.")
return metric_id, resource_id, False
def delete_metric(self, endpoint, auth_token, metric_id):
"""Delete metric."""
url = "{}/v1/metric/%s".format(endpoint) % metric_id
try:
result = Common.perform_request(
url, auth_token, req_type="delete")
if str(result.status_code) == "404":
log.warning("Failed to delete the metric.")
return False
else:
return True
except Exception as exc:
log.warning("Failed to carry out delete metric request:%s", exc)
return False
def list_metrics(self, endpoint, auth_token, values):
"""List all metrics."""
# Check for a specified list
try:
# Check if the metric_name was specified for the list
metric_name = values['metric_name'].lower()
if metric_name not in METRIC_MAPPINGS.keys():
log.warning("This metric is not supported, won't be listed.")
metric_name = None
except KeyError as exc:
log.info("Metric name is not specified: %s", exc)
metric_name = None
try:
resource = values['resource_uuid']
except KeyError as exc:
log.info("Resource is not specified:%s", exc)
resource = None
try:
url = "{}/v1/metric?sort=name:asc".format(endpoint)
result = Common.perform_request(
url, auth_token, req_type="get")
metrics = []
metrics_partial = json.loads(result.text)
for metric in metrics_partial:
metrics.append(metric)
while len(json.loads(result.text)) > 0:
last_metric_id = metrics_partial[-1]['id']
url = "{}/v1/metric?sort=name:asc&marker={}".format(endpoint, last_metric_id)
result = Common.perform_request(
url, auth_token, req_type="get")
if len(json.loads(result.text)) > 0:
metrics_partial = json.loads(result.text)
for metric in metrics_partial:
metrics.append(metric)
if metrics is not None:
# Format the list response
if metric_name is not None and resource is not None:
metric_list = self.response_list(
metrics, metric_name=metric_name, resource=resource)
log.info("Returning an %s resource list for %s metrics",
metric_name, resource)
elif metric_name is not None:
metric_list = self.response_list(
metrics, metric_name=metric_name)
log.info("Returning a list of %s metrics", metric_name)
elif resource is not None:
metric_list = self.response_list(
metrics, resource=resource)
log.info("Return a list of %s resource metrics", resource)
else:
metric_list = self.response_list(metrics)
log.info("Returning a complete list of metrics")
return metric_list
else:
log.info("There are no metrics available")
return []
except Exception as exc:
log.warning("Failed to generate any metric list. %s", exc)
return None
def get_metric_id(self, endpoint, auth_token, metric_name, resource_id):
"""Check if the desired metric already exists for the resource."""
url = "{}/v1/resource/generic/%s".format(endpoint) % resource_id
try:
# Try return the metric id if it exists
result = Common.perform_request(
url, auth_token, req_type="get")
return json.loads(result.text)['metrics'][metric_name]
except Exception:
log.info("Metric doesn't exist. No metric_id available")
return None
def get_metric_name(self, values):
"""Check metric name configuration and normalize."""
metric_name = None
try:
# Normalize metric name
metric_name = values['metric_name'].lower()
return metric_name, METRIC_MAPPINGS[metric_name]
except KeyError:
log.info("Metric name %s is invalid.", metric_name)
return metric_name, None
def read_metric_data(self, endpoint, auth_token, values):
"""Collect metric measures over a specified time period."""
timestamps = []
data = []
try:
# get metric_id
metric_id = self.get_metric_id(endpoint, auth_token, METRIC_MAPPINGS[values['metric_name']],
values['resource_uuid'])
# Try and collect measures
collection_unit = values['collection_unit'].upper()
collection_period = values['collection_period']
# Define the start and end time based on configurations
# FIXME: Local timezone may differ from timezone set in Gnocchi, causing discrepancies in measures
stop_time = time.strftime("%Y-%m-%d") + "T" + time.strftime("%X")
end_time = int(round(time.time() * 1000))
if collection_unit == 'YEAR':
diff = PERIOD_MS[collection_unit]
else:
diff = collection_period * PERIOD_MS[collection_unit]
s_time = (end_time - diff) / 1000.0
start_time = datetime.datetime.fromtimestamp(s_time).strftime(
'%Y-%m-%dT%H:%M:%S.%f')
base_url = "{}/v1/metric/%(0)s/measures?start=%(1)s&stop=%(2)s"
url = base_url.format(endpoint) % {
"0": metric_id, "1": start_time, "2": stop_time}
# Perform metric data request
metric_data = Common.perform_request(
url, auth_token, req_type="get")
# Generate a list of the requested timestamps and data
for r in json.loads(metric_data.text):
timestamp = r[0].replace("T", " ")
timestamps.append(timestamp)
data.append(r[2])
return timestamps, data
except Exception as exc:
log.warning("Failed to gather specified measures: %s", exc)
return timestamps, data
def response_list(self, metric_list, metric_name=None, resource=None):
"""Create the appropriate lists for a list response."""
resp_list, name_list, res_list = [], [], []
# Create required lists
for row in metric_list:
# Only list OSM metrics
name = None
if row['name'] in METRIC_MAPPINGS.values():
for k, v in six.iteritems(METRIC_MAPPINGS):
if row['name'] == v:
name = k
metric = {"metric_name": name,
"metric_uuid": row['id'],
"metric_unit": row['unit'],
"resource_uuid": row['resource_id']}
resp_list.append(metric)
# Generate metric_name specific list
if metric_name is not None and name is not None:
if metric_name in METRIC_MAPPINGS.keys() and row['name'] == METRIC_MAPPINGS[metric_name]:
metric = {"metric_name": metric_name,
"metric_uuid": row['id'],
"metric_unit": row['unit'],
"resource_uuid": row['resource_id']}
name_list.append(metric)
# Generate resource specific list
if resource is not None and name is not None:
if row['resource_id'] == resource:
metric = {"metric_name": name,
"metric_uuid": row['id'],
"metric_unit": row['unit'],
"resource_uuid": row['resource_id']}
res_list.append(metric)
# Join required lists
if metric_name is not None and resource is not None:
# Return intersection of res_list and name_list
return [i for i in res_list for j in name_list if i['metric_uuid'] == j['metric_uuid']]
elif metric_name is not None:
return name_list
elif resource is not None:
return res_list
else:
return resp_list