332 lines
12 KiB
Python
332 lines
12 KiB
Python
import json
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from django.shortcuts import render
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from dashboard.openstack_utils.connect import get_connection
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from dashboard.openstack_utils.flavor import get_flavor_list
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from dashboard.prometheus_utils.query import query_prometheus
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from dashboard.openstack_utils.audits import get_audits
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def collect_context():
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connection = get_connection()
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region_name = connection._compute_region
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flavors = get_flavor_list(connection=connection)
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audits = get_audits(connection=connection)
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hosts_total = int(
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query_prometheus(
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query="count(node_exporter_build_info{job='node_exporter_compute'})"
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)
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)
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pcpu_total = int(
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query_prometheus(
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query="sum(count(node_cpu_seconds_total{job='node_exporter_compute', mode='idle'}) without (cpu,mode))"
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)
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)
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pcpu_usage = float(
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query_prometheus(
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query="sum(node_load5{job='node_exporter_compute'})"
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)
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)
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vcpu_allocated = int(
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query_prometheus(
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query="sum(libvirt_domain_info_virtual_cpus)"
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)
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)
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vcpu_overcommit_max = float(
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query_prometheus(
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query="avg(openstack_placement_resource_allocation_ratio{resourcetype='VCPU'})"
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)
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)
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pram_total = int(
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query_prometheus(
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query="sum(node_memory_MemTotal_bytes{job='node_exporter_compute'})" # memory in bytes
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)
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)
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pram_usage = int (
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query_prometheus(
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query="sum(node_memory_Active_bytes{job='node_exporter_compute'})"
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)
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)
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vram_allocated = int(
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query_prometheus(
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query="sum(libvirt_domain_info_maximum_memory_bytes)"
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)
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)
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vram_overcommit_max = float(
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query_prometheus(
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query="avg(avg_over_time(openstack_placement_resource_allocation_ratio{resourcetype='MEMORY_MB'}[5m]))"
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)
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)
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vm_count = int(
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query_prometheus(
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query="sum(libvirt_domain_state_code)"
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)
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)
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vm_active = int(
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query_prometheus(
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query="sum(libvirt_domain_state_code{stateDesc='the domain is running'})"
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)
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)
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vcpu_total = pcpu_total * vcpu_overcommit_max
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vram_total = pram_total * vram_overcommit_max
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context = {
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# <--- Region data --->
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"region": {
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"name": region_name,
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"hosts_total": 6,
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},
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# <--- CPU data --->
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# pCPU data
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"pcpu": {
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"total": pcpu_total,
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"usage": pcpu_usage,
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"free": pcpu_total - pcpu_usage,
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"used_percentage": pcpu_usage / pcpu_total * 100,
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},
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# vCPU data
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"vcpu": {
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"total": vcpu_total,
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"allocated": vcpu_allocated,
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"free": vcpu_total - vcpu_allocated,
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"allocated_percentage": vcpu_allocated / vcpu_total * 100,
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"overcommit_ratio": vcpu_allocated / pcpu_total,
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"overcommit_max": vcpu_overcommit_max,
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},
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# <--- RAM data --->
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# pRAM data
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"pram" : {
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"total": pram_total,
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"usage": pram_usage,
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"free": pram_total - pram_usage,
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"used_percentage": pram_usage / pram_total * 100,
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},
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# vRAM data
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"vram": {
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"total": vram_total,
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"allocated": vram_allocated,
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"free": vram_total - vram_allocated,
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"allocated_percentage": vram_allocated / vram_total * 100,
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"overcommit_ratio": vram_allocated / pram_total,
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"overcommit_max": vram_overcommit_max,
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},
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# <--- VM data --->
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"vm": {
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"count": vm_count,
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"active": vm_active,
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"stopped": vm_count - vm_active,
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"avg_cpu": vcpu_allocated / vm_count,
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"avg_ram": vram_allocated / vm_count,
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"density": vm_count / hosts_total,
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},
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"flavors": flavors,
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"audits": audits,
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}
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return context
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def index(request):
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hosts_total = 6
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pcpu_total = 672
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pcpu_usage = 39.2
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vcpu_total = 3360
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vcpu_allocated = 98
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vcpu_overcommit_max = 5
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pram_total = 562500000000
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pram_usage = 4325000000
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vram_total = 489375000000
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vram_allocated = 5625000000
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vram_overcommit_max = 0.87
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vm_count = 120
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vm_active = 90
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context = {
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# <--- Region data --->
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"region": {
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"name": "ct3k1ldt",
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"hosts_total": 6,
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},
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# <--- CPU data --->
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# pCPU data
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"pcpu": {
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"total": pcpu_total,
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"usage": pcpu_usage,
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"free": pcpu_total - pcpu_usage,
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"used_percentage": pcpu_usage / pcpu_total * 100,
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},
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# vCPU data
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"vcpu": {
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"total": vcpu_total,
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"allocated": vcpu_allocated,
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"free": vcpu_total - vcpu_allocated,
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"allocated_percentage": vcpu_allocated / vcpu_total * 100,
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"overcommit_ratio": vcpu_allocated / pcpu_total,
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"overcommit_max": vcpu_overcommit_max,
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},
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# <--- RAM data --->
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# pRAM data
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"pram" : {
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"total": pram_total,
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"usage": pram_usage,
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"free": pram_total - pram_usage,
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"used_percentage": pram_usage / pram_total * 100,
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},
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# vRAM data
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"vram": {
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"total": vram_total,
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"allocated": vram_allocated,
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"free": vram_total - vram_allocated,
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"allocated_percentage": vram_allocated / vram_total * 100,
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"overcommit_ratio": vram_allocated / pram_total,
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"overcommit_max": vram_overcommit_max,
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},
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# <--- VM data --->
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"vm": {
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"count": vm_count,
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"active": vm_active,
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"stopped": vm_count - vm_active,
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"avg_cpu": vcpu_allocated / vm_count,
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"avg_ram": vram_allocated / vm_count,
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"density": vm_count / hosts_total,
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},
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"flavors": {
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'first_common_flavor': {
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'name': 'm1.medium',
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'count': 18
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},
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'second_common_flavor': {
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'name': 'm1.small',
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'count': 12
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},
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'third_common_flavor': {
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'name': 'm1.large',
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'count': 8
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},
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},
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# Audit data
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'audits': [
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{
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'id': 'audit_001',
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'name': 'Weekly Optimization',
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'created_at': '2024-01-15',
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'cpu_weight': 1.2,
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'ram_weight': 0.6,
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'scope': 'Full Cluster',
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'strategy': 'Load Balancing',
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'goal': 'Optimize CPU distribution across all hosts',
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'migrations': [
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{
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'instanceName': 'web-server-01',
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'source': 'compute-02',
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'destination': 'compute-05',
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'flavor': 'm1.medium',
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'impact': 'Low'
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},
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{
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'instanceName': 'db-replica-03',
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'source': 'compute-01',
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'destination': 'compute-04',
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'flavor': 'm1.large',
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'impact': 'Medium'
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},
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{
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'instanceName': 'api-gateway',
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'source': 'compute-03',
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'destination': 'compute-06',
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'flavor': 'm1.small',
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'impact': 'Low'
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},
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{
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'instanceName': 'cache-node-02',
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'source': 'compute-01',
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'destination': 'compute-07',
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'flavor': 'm1.small',
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'impact': 'Low'
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},
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{
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'instanceName': 'monitoring-server',
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'source': 'compute-04',
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'destination': 'compute-02',
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'flavor': 'm1.medium',
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'impact': 'Low'
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}
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],
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'host_labels': ['compute-01', 'compute-02', 'compute-03', 'compute-04', 'compute-05', 'compute-06', 'compute-07'],
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'cpu_current': [78, 65, 42, 89, 34, 56, 71],
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'cpu_projected': [65, 58, 45, 72, 48, 61, 68]
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},
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{
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'id': 'audit_002',
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'name': 'Emergency Rebalance',
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'created_at': '2024-01-14',
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'cpu_weight': 1.0,
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'ram_weight': 1.0,
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'scope': 'Overloaded Hosts',
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'strategy': 'Hotspot Reduction',
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'goal': 'Reduce load on compute-01 and compute-04',
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'migrations': [
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{
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'instanceName': 'app-server-02',
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'source': 'compute-01',
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'destination': 'compute-06',
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'flavor': 'm1.medium',
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'impact': 'Medium'
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},
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{
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'instanceName': 'file-server-01',
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'source': 'compute-04',
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'destination': 'compute-07',
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'flavor': 'm1.large',
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'impact': 'High'
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}
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],
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'host_labels': ['compute-01', 'compute-02', 'compute-03', 'compute-04', 'compute-05', 'compute-06', 'compute-07'],
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'cpu_current': [92, 65, 42, 85, 34, 56, 71],
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'cpu_projected': [72, 65, 42, 65, 34, 66, 81]
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},
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{
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'id': 'audit_003',
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'name': 'Pre-Maintenance Planning',
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'created_at': '2024-01-10',
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'cpu_weight': 0.8,
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'ram_weight': 1.5,
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'scope': 'Maintenance Zone',
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'strategy': 'Evacuation',
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'goal': 'Empty compute-03 for maintenance',
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'migrations': [
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{
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'instanceName': 'test-vm-01',
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'source': 'compute-03',
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'destination': 'compute-02',
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'flavor': 'm1.small',
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'impact': 'Low'
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},
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{
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'instanceName': 'dev-server',
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'source': 'compute-03',
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'destination': 'compute-05',
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'flavor': 'm1.medium',
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'impact': 'Low'
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},
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{
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'instanceName': 'staging-db',
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'source': 'compute-03',
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'destination': 'compute-07',
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'flavor': 'm1.large',
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'impact': 'High'
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}
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],
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'host_labels': ['compute-01', 'compute-02', 'compute-03', 'compute-04', 'compute-05', 'compute-06', 'compute-07'],
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'cpu_current': [78, 65, 56, 89, 34, 56, 71],
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'cpu_projected': [78, 75, 0, 89, 54, 56, 81]
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}
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]
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}
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# Serialize lists for JavaScript
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for audit in context['audits']:
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audit['migrations'] = json.dumps(audit['migrations'])
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audit['host_labels'] = json.dumps(audit['host_labels'])
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audit['cpu_current'] = json.dumps(audit['cpu_current'])
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audit['cpu_projected'] = json.dumps(audit['cpu_projected'])
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return render(request, 'index.html', context) |