import datetime
import json
import logging
-
import time
-from osm_mon.core.message_bus.producer import KafkaProducer
+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
-from osm_mon.plugins.OpenStack.settings import Config
log = logging.getLogger(__name__)
METRIC_MAPPINGS = {
- "average_memory_utilization": "memory.percent",
+ "average_memory_utilization": "memory.usage",
"disk_read_ops": "disk.read.requests",
"disk_write_ops": "disk.write.requests",
- "digsk_read_bytes": "disk.read.bytes",
+ "disk_read_bytes": "disk.read.bytes",
"disk_write_bytes": "disk.write.bytes",
"packets_dropped": "interface.if_dropped",
"packets_received": "interface.if_packets",
"""Initialize the metric actions."""
# Configure an instance of the OpenStack metric plugin
config = Config.instance()
- config.read_environ("gnocchi")
+ config.read_environ()
# Initialise authentication for API requests
- self.auth_token = None
- self.endpoint = None
- self._common = None
+ 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, common, auth_token):
+ def metric_calls(self, message):
"""Consume info from the message bus to manage metric requests."""
- values = json.loads(message.value)
- self._common = common
+ try:
+ values = json.loads(message.value)
+ except ValueError:
+ values = yaml.safe_load(message.value)
log.info("OpenStack metric action required.")
- # Generate and auth_token and endpoint for request
- if auth_token is not None:
- if self.auth_token != auth_token:
- log.info("Auth_token for metrics set by access_credentials.")
- self.auth_token = auth_token
- else:
- log.info("Auth_token has not been updated.")
- else:
- log.info("Using environment variables to set Gnocchi auth_token.")
- self.auth_token = self._common._authenticate()
+ auth_token = Common.get_auth_token(values['vim_uuid'])
- if self.endpoint is None:
- log.info("Generating a new endpoint for Gnocchi.")
- self.endpoint = self._common.get_endpoint("metric")
+ endpoint = Common.get_endpoint("metric", values['vim_uuid'])
if message.key == "create_metric_request":
# Configure metric
metric_details = values['metric_create']
metric_id, resource_id, status = self.configure_metric(
- self.endpoint, self.auth_token, metric_details)
+ endpoint, auth_token, metric_details)
# Generate and send a create metric response
try:
elif message.key == "read_metric_data_request":
# Read all metric data related to a specified metric
timestamps, metric_data = self.read_metric_data(
- self.endpoint, self.auth_token, values)
+ 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=values['metric_uuid'],
+ m_id=metric_id,
m_name=values['metric_name'],
r_id=values['resource_uuid'],
cor_id=values['correlation_id'],
elif message.key == "delete_metric_request":
# delete the specified metric in the request
- metric_id = values['metric_uuid']
+ metric_id = self.get_metric_id(endpoint, auth_token, METRIC_MAPPINGS[values['metric_name']],
+ values['resource_uuid'])
status = self.delete_metric(
- self.endpoint, self.auth_token, metric_id)
+ endpoint, auth_token, metric_id)
# Generate and send a response message
try:
metric_name = req_details['metric_name']
resource_id = req_details['resource_uuid']
metric_id = self.get_metric_id(
- self.endpoint, self.auth_token, metric_name, resource_id)
+ endpoint, auth_token, metric_name, resource_id)
# Generate and send a response message
try:
list_details = values['metrics_list_request']
metric_list = self.list_metrics(
- self.endpoint, self.auth_token, list_details)
+ endpoint, auth_token, list_details)
# Generate and send a response message
try:
res_url = base_url.format(endpoint) % resource_id
payload = {metric_name: {'archive_policy_name': 'high',
'unit': values['metric_unit']}}
- result = self._common._perform_request(
+ result = Common.perform_request(
res_url, auth_token, req_type="post",
payload=json.dumps(payload))
# Get id of newly created metric
'metrics': {
metric_name: metric}})
- resource = self._common._perform_request(
+ resource = Common.perform_request(
url, auth_token, req_type="post",
payload=resource_payload)
def delete_metric(self, endpoint, auth_token, metric_id):
"""Delete metric."""
- url = "{}/v1/metric/%s".format(endpoint) % (metric_id)
+ url = "{}/v1/metric/%s".format(endpoint) % metric_id
try:
- result = self._common._perform_request(
+ result = Common.perform_request(
url, auth_token, req_type="delete")
if str(result.status_code) == "404":
log.warn("Failed to delete the metric.")
def list_metrics(self, endpoint, auth_token, values):
"""List all metrics."""
- url = "{}/v1/metric/".format(endpoint)
# Check for a specified list
try:
try:
url = "{}/v1/metric?sort=name:asc".format(endpoint)
- result = self._common._perform_request(
+ 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:
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 = self._common._perform_request(
+ result = Common.perform_request(
url, auth_token, req_type="get")
return json.loads(result.text)['metrics'][metric_name]
except Exception:
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, None
def read_metric_data(self, endpoint, auth_token, values):
- """Collectd metric measures over a specified time period."""
+ """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
- metric_id = values['metric_uuid']
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':
"0": metric_id, "1": start_time, "2": stop_time}
# Perform metric data request
- metric_data = self._common._perform_request(
+ metric_data = Common.perform_request(
url, auth_token, req_type="get")
# Generate a list of the requested timestamps and data
# Only list OSM metrics
name = None
if row['name'] in METRIC_MAPPINGS.values():
- for k,v in METRIC_MAPPINGS.iteritems():
+ 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(str(metric))
+ 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_uuid": row['id'],
"metric_unit": row['unit'],
"resource_uuid": row['resource_id']}
- name_list.append(str(metric))
+ name_list.append(metric)
# Generate resource specific list
if resource is not None and name is not None:
if row['resource_id'] == resource:
"metric_uuid": row['id'],
"metric_unit": row['unit'],
"resource_uuid": row['resource_id']}
- res_list.append(str(metric))
+ res_list.append(metric)
# Join required lists
if metric_name is not None and resource is not None:
- intersection_set = set(res_list).intersection(name_list)
- intersection = list(intersection_set)
- return intersection
+ # 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: