e51e7e4317
In this changeset, I added 3 notifications: - action_plan.create - action_plan.update - action_plan.delete Partially Implements: blueprint action-plan-versioned-notifications-api Change-Id: I8821fc6f47e7486037839d81bed9e28020b02fdd
267 lines
8.5 KiB
Python
267 lines
8.5 KiB
Python
# -*- encoding: utf-8 -*-
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# Copyright (c) 2015 b<>com
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#
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# Authors: Jean-Emile DARTOIS <jean-emile.dartois@b-com.com>
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain 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,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import oslo_utils
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class FakeMonascaMetrics(object):
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def __init__(self):
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self.emptytype = ""
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def empty_one_metric(self, emptytype):
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self.emptytype = emptytype
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def mock_get_statistics(self, meter_name, dimensions, period,
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aggregate='avg'):
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resource_id = dimensions.get(
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"resource_id") or dimensions.get("hostname")
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result = 0.0
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if meter_name == "cpu.percent":
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result = self.get_usage_node_cpu(resource_id)
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elif meter_name == "vm.cpu.utilization_perc":
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result = self.get_average_usage_instance_cpu(resource_id)
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# elif meter_name == "hardware.memory.used":
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# result = self.get_usage_node_ram(resource_id)
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# elif meter_name == "memory.resident":
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# result = self.get_average_usage_instance_memory(resource_id)
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# elif meter_name == "hardware.ipmi.node.outlet_temperature":
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# result = self.get_average_outlet_temperature(resource_id)
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# elif meter_name == "hardware.ipmi.node.airflow":
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# result = self.get_average_airflow(resource_id)
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# elif meter_name == "hardware.ipmi.node.temperature":
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# result = self.get_average_inlet_t(resource_id)
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# elif meter_name == "hardware.ipmi.node.power":
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# result = self.get_average_power(resource_id)
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return result
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def mock_get_statistics_wb(self, meter_name, dimensions, period,
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aggregate='avg'):
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resource_id = dimensions.get(
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"resource_id") or dimensions.get("hostname")
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result = 0.0
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if meter_name == "vm.cpu.utilization_perc":
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result = self.get_average_usage_instance_cpu_wb(resource_id)
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return result
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@staticmethod
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def get_average_outlet_temperature(uuid):
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"""The average outlet temperature for host"""
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measurements = {}
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measurements['Node_0'] = 30
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# use a big value to make sure it exceeds threshold
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measurements['Node_1'] = 100
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if uuid not in measurements.keys():
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measurements[uuid] = 100
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return [{'columns': ['avg'],
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'statistics': [[float(measurements[str(uuid)])]]}]
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@staticmethod
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def get_usage_node_ram(uuid):
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measurements = {}
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# Monasca returns hardware.memory.used samples in KB.
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measurements['Node_0'] = 7 * oslo_utils.units.Ki
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measurements['Node_1'] = 5 * oslo_utils.units.Ki
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measurements['Node_2'] = 29 * oslo_utils.units.Ki
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measurements['Node_3'] = 8 * oslo_utils.units.Ki
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measurements['Node_4'] = 4 * oslo_utils.units.Ki
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if uuid not in measurements.keys():
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# measurements[uuid] = random.randint(1, 4)
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measurements[uuid] = 8
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return float(measurements[str(uuid)])
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@staticmethod
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def get_average_airflow(uuid):
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"""The average outlet temperature for host"""
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measurements = {}
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measurements['Node_0'] = 400
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# use a big value to make sure it exceeds threshold
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measurements['Node_1'] = 100
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if uuid not in measurements.keys():
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measurements[uuid] = 200
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return [{'columns': ['avg'],
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'statistics': [[float(measurements[str(uuid)])]]}]
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@staticmethod
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def get_average_inlet_t(uuid):
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"""The average outlet temperature for host"""
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measurements = {}
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measurements['Node_0'] = 24
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measurements['Node_1'] = 26
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if uuid not in measurements.keys():
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measurements[uuid] = 28
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return [{'columns': ['avg'],
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'statistics': [[float(measurements[str(uuid)])]]}]
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@staticmethod
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def get_average_power(uuid):
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"""The average outlet temperature for host"""
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measurements = {}
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measurements['Node_0'] = 260
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measurements['Node_1'] = 240
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if uuid not in measurements.keys():
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measurements[uuid] = 200
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return [{'columns': ['avg'],
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'statistics': [[float(measurements[str(uuid)])]]}]
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@staticmethod
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def get_usage_node_cpu(uuid):
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"""The last VM CPU usage values to average
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:param uuid:00
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:return:
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"""
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# query influxdb stream
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# compute in stream
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# Normalize
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measurements = {}
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# node 0
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measurements['Node_0'] = 7
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measurements['Node_1'] = 7
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# node 1
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measurements['Node_2'] = 80
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# node 2
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measurements['Node_3'] = 5
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measurements['Node_4'] = 5
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measurements['Node_5'] = 10
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# node 3
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measurements['Node_6'] = 8
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measurements['Node_19'] = 10
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# node 4
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measurements['INSTANCE_7'] = 4
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if uuid not in measurements.keys():
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# measurements[uuid] = random.randint(1, 4)
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measurements[uuid] = 8
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return [{'columns': ['avg'],
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'statistics': [[float(measurements[str(uuid)])]]}]
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# return float(measurements[str(uuid)])
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@staticmethod
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def get_average_usage_instance_cpu_wb(uuid):
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"""The last VM CPU usage values to average
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:param uuid:00
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:return:
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"""
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# query influxdb stream
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# compute in stream
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# Normalize
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measurements = {}
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# node 0
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measurements['INSTANCE_1'] = 80
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measurements['73b09e16-35b7-4922-804e-e8f5d9b740fc'] = 50
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# node 1
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measurements['INSTANCE_3'] = 20
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measurements['INSTANCE_4'] = 10
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return [{'columns': ['avg'],
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'statistics': [[float(measurements[str(uuid)])]]}]
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@staticmethod
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def get_average_usage_instance_cpu(uuid):
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"""The last VM CPU usage values to average
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:param uuid:00
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:return:
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"""
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# query influxdb stream
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# compute in stream
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# Normalize
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measurements = {}
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# node 0
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measurements['INSTANCE_0'] = 7
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measurements['INSTANCE_1'] = 7
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# node 1
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measurements['INSTANCE_2'] = 10
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# node 2
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measurements['INSTANCE_3'] = 5
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measurements['INSTANCE_4'] = 5
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measurements['INSTANCE_5'] = 10
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# node 3
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measurements['INSTANCE_6'] = 8
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# node 4
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measurements['INSTANCE_7'] = 4
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if uuid not in measurements.keys():
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# measurements[uuid] = random.randint(1, 4)
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measurements[uuid] = 8
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return [{'columns': ['avg'],
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'statistics': [[float(measurements[str(uuid)])]]}]
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@staticmethod
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def get_average_usage_instance_memory(uuid):
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measurements = {}
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# node 0
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measurements['INSTANCE_0'] = 2
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measurements['INSTANCE_1'] = 5
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# node 1
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measurements['INSTANCE_2'] = 5
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# node 2
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measurements['INSTANCE_3'] = 8
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measurements['INSTANCE_4'] = 5
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measurements['INSTANCE_5'] = 16
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# node 3
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measurements['INSTANCE_6'] = 8
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# node 4
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measurements['INSTANCE_7'] = 4
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if uuid not in measurements.keys():
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# measurements[uuid] = random.randint(1, 4)
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measurements[uuid] = 10
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return [{'columns': ['avg'],
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'statistics': [[float(measurements[str(uuid)])]]}]
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@staticmethod
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def get_average_usage_instance_disk(uuid):
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measurements = {}
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# node 0
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measurements['INSTANCE_0'] = 2
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measurements['INSTANCE_1'] = 2
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# node 1
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measurements['INSTANCE_2'] = 2
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# node 2
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measurements['INSTANCE_3'] = 10
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measurements['INSTANCE_4'] = 15
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measurements['INSTANCE_5'] = 20
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# node 3
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measurements['INSTANCE_6'] = 8
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# node 4
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measurements['INSTANCE_7'] = 4
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if uuid not in measurements.keys():
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# measurements[uuid] = random.randint(1, 4)
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measurements[uuid] = 4
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return [{'columns': ['avg'],
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'statistics': [[float(measurements[str(uuid)])]]}]
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