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initial version

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Change-Id: I699e0ab082657880998d8618fe29eb7f56c6c661
This commit is contained in:
David TARDIVEL
2015-06-04 15:26:55 +02:00
parent 073c6e49cb
commit d14e057da1
316 changed files with 27260 additions and 0 deletions
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watcher/tests/decision_engine/faker_cluster_state.py Normal file
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# -*- encoding: utf-8 -*-
# Copyright (c) 2015 b<>com
#
# 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 random
from watcher.decision_engine.api.collector.cluster_state_collector import \
ClusterStateCollector
from watcher.decision_engine.framework.model.hypervisor import Hypervisor
from watcher.decision_engine.framework.model.model_root import ModelRoot
from watcher.decision_engine.framework.model.resource import Resource
from watcher.decision_engine.framework.model.resource import ResourceType
from watcher.decision_engine.framework.model.vm import VM
class FakerStateCollector(ClusterStateCollector):
def __init__(self):
pass
def get_latest_state_cluster(self):
return self.generate_scenario_1()
def generate_random(self, count_nodes, number_of_vm_per_node):
vms = []
current_state_cluster = ModelRoot()
# number of nodes
count_node = count_nodes
# number max of vm per hypervisor
node_count_vm = number_of_vm_per_node
# total number of virtual machine
count_vm = (count_node * node_count_vm)
# define ressouce ( CPU, MEM disk, ... )
mem = Resource(ResourceType.memory)
# 2199.954 Mhz
num_cores = Resource(ResourceType.cpu_cores)
disk = Resource(ResourceType.disk)
current_state_cluster.create_resource(mem)
current_state_cluster.create_resource(num_cores)
current_state_cluster.create_resource(disk)
for i in range(0, count_node):
node_uuid = "Node_" + str(i)
hypervisor = Hypervisor()
hypervisor.set_uuid(node_uuid)
mem.set_capacity(hypervisor, 132)
disk.set_capacity(hypervisor, 250)
num_cores.set_capacity(hypervisor, 40)
# print("create "+str(hypervisor))
current_state_cluster.add_hypervisor(hypervisor)
for i in range(0, count_vm):
vm_uuid = "VM_" + str(i)
vm = VM()
vm.set_uuid(vm_uuid)
# print("create "+str(vm))
mem.set_capacity(vm, 8)
disk.set_capacity(vm, 10)
num_cores.set_capacity(vm, 10)
vms.append(vm)
current_state_cluster.add_vm(vm)
j = 0
for node_id in current_state_cluster.get_all_hypervisors():
for i in range(0, random.randint(0, node_count_vm)):
# todo(jed) check if enough capacity
current_state_cluster.get_mapping().map(
current_state_cluster.get_hypervisor_from_id(node_id),
vms[j])
j += 1
return current_state_cluster
def generate_scenario_1(self):
vms = []
current_state_cluster = ModelRoot()
# number of nodes
count_node = 5
# number max of vm per node
node_count_vm = 7
# total number of virtual machine
count_vm = (count_node * node_count_vm)
# define ressouce ( CPU, MEM disk, ... )
mem = Resource(ResourceType.memory)
# 2199.954 Mhz
num_cores = Resource(ResourceType.cpu_cores)
disk = Resource(ResourceType.disk)
current_state_cluster.create_resource(mem)
current_state_cluster.create_resource(num_cores)
current_state_cluster.create_resource(disk)
for i in range(0, count_node):
node_uuid = "Node_" + str(i)
node = Hypervisor()
node.set_uuid(node_uuid)
mem.set_capacity(node, 132)
disk.set_capacity(node, 250)
num_cores.set_capacity(node, 40)
# print("create "+str(node))
current_state_cluster.add_hypervisor(node)
for i in range(0, count_vm):
vm_uuid = "VM_" + str(i)
vm = VM()
vm.set_uuid(vm_uuid)
# print("create "+str(vm))
mem.set_capacity(vm, 2)
disk.set_capacity(vm, 20)
num_cores.set_capacity(vm, 10)
vms.append(vm)
current_state_cluster.add_vm(vm)
current_state_cluster.get_mapping().map(
current_state_cluster.get_hypervisor_from_id("Node_0"),
current_state_cluster.get_vm_from_id("VM_0"))
current_state_cluster.get_mapping().map(
current_state_cluster.get_hypervisor_from_id("Node_0"),
current_state_cluster.get_vm_from_id("VM_1"))
current_state_cluster.get_mapping().map(
current_state_cluster.get_hypervisor_from_id("Node_1"),
current_state_cluster.get_vm_from_id("VM_2"))
current_state_cluster.get_mapping().map(
current_state_cluster.get_hypervisor_from_id("Node_2"),
current_state_cluster.get_vm_from_id("VM_3"))
current_state_cluster.get_mapping().map(
current_state_cluster.get_hypervisor_from_id("Node_2"),
current_state_cluster.get_vm_from_id("VM_4"))
current_state_cluster.get_mapping().map(
current_state_cluster.get_hypervisor_from_id("Node_2"),
current_state_cluster.get_vm_from_id("VM_5"))
current_state_cluster.get_mapping().map(
current_state_cluster.get_hypervisor_from_id("Node_3"),
current_state_cluster.get_vm_from_id("VM_6"))
current_state_cluster.get_mapping().map(
current_state_cluster.get_hypervisor_from_id("Node_4"),
current_state_cluster.get_vm_from_id("VM_7"))
return current_state_cluster
def generate_scenario_2(self):
current_state_cluster = ModelRoot()
# number of nodes
count_node = 5
# define ressouce ( CPU, MEM disk, ... )
mem = Resource(ResourceType.memory)
# 2199.954 Mhz
num_cores = Resource(ResourceType.cpu_cores)
disk = Resource(ResourceType.disk)
current_state_cluster.create_resource(mem)
current_state_cluster.create_resource(num_cores)
current_state_cluster.create_resource(disk)
for i in range(0, count_node):
node_uuid = "Node_" + str(i)
node = Hypervisor()
node.set_uuid(node_uuid)
mem.set_capacity(node, 132)
disk.set_capacity(node, 250)
num_cores.set_capacity(node, 40)
# print("create "+str(node))
current_state_cluster.add_hypervisor(node)
return current_state_cluster
def map(self, model, h_id, vm_id):
model.get_mapping().map(
model.get_hypervisor_from_id(h_id),
model.get_vm_from_id(vm_id))
def generate_scenario_3(self):
vms = []
current_state_cluster = ModelRoot()
# number of nodes
count_node = 10
# number max of vm per node
node_count_vm = 7
# total number of virtual machine
count_vm = (count_node * node_count_vm)
# define ressouce ( CPU, MEM disk, ... )
mem = Resource(ResourceType.memory)
# 2199.954 Mhz
num_cores = Resource(ResourceType.cpu_cores)
disk = Resource(ResourceType.disk)
current_state_cluster.create_resource(mem)
current_state_cluster.create_resource(num_cores)
current_state_cluster.create_resource(disk)
for i in range(0, count_node):
node_uuid = "Node_" + str(i)
node = Hypervisor()
node.set_uuid(node_uuid)
mem.set_capacity(node, 132)
disk.set_capacity(node, 250)
num_cores.set_capacity(node, 40)
# print("create "+str(node))
current_state_cluster.add_hypervisor(node)
for i in range(0, count_vm):
vm_uuid = "VM_" + str(i)
vm = VM()
vm.set_uuid(vm_uuid)
# print("create "+str(vm))
mem.set_capacity(vm, 10)
disk.set_capacity(vm, 25)
num_cores.set_capacity(vm, 16)
vms.append(vm)
current_state_cluster.add_vm(vm)
print(count_vm)
indice = 0
for j in range(0, 2):
node_uuid = "Node_" + str(j)
for i in range(indice, 3):
vm_uuid = "VM_" + str(i)
self.map(current_state_cluster, node_uuid, vm_uuid)
for j in range(2, 5):
node_uuid = "Node_" + str(j)
for i in range(indice, 4):
vm_uuid = "VM_" + str(i)
self.map(current_state_cluster, node_uuid, vm_uuid)
for j in range(5, 10):
node_uuid = "Node_" + str(j)
for i in range(indice, 4):
vm_uuid = "VM_" + str(i)
self.map(current_state_cluster, node_uuid, vm_uuid)
return current_state_cluster