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finished all audits, first rc

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This commit is contained in:
Nikolay Tatarinov
2025-12-05 16:06:14 +03:00
parent e71fc95a21
commit d197d1e5e2
13 changed files with 419 additions and 124 deletions
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233
dashboard/views.py
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@@ -2,14 +2,15 @@ import json
from django.shortcuts import render
from dashboard.openstack_utils.connect import get_connection
from dashboard.openstack_utils.flavor import get_flavor_list
from dashboard.prometheus_utils.query import query_prometheus
_BASE = {
"region_name": "ct3k1ldt"
}
from dashboard.openstack_utils.audits import get_audits
def collect_context():
connection = get_connection()
region_name = connection._compute_region
flavors = get_flavor_list(connection=connection)
audits = get_audits(connection=connection)
hosts_total = int(
query_prometheus(
query="count(node_exporter_build_info{job='node_exporter_compute'})"
@@ -22,12 +23,7 @@ def collect_context():
)
pcpu_usage = float(
query_prometheus(
query=""
)
)
vcpu_total = int (
query_prometheus(
query="(sum(count(node_cpu_seconds_total{job='node_exporter_compute', mode='idle'}) without (cpu,mode)))*(avg(openstack_placement_resource_allocation_ratio{resourcetype='VCPU'}))"
query="sum(node_load5{job='node_exporter_compute'})"
)
)
vcpu_allocated = int(
@@ -35,95 +31,176 @@ def collect_context():
query="sum(libvirt_domain_info_virtual_cpus)"
)
)
vcpu_overcommit_ratio = float(
query_prometheus(
query="sum(libvirt_domain_info_virtual_cpus)/(sum(count(node_cpu_seconds_total{job='node_exporter_compute', mode='idle'}) without (cpu,mode)))"
)
)
vcpu_overcommit_max = float(
query_prometheus(
query="avg(openstack_placement_resource_allocation_ratio{resourcetype='VCPU'})"
)
)
vm_count = int (
pram_total = int(
query_prometheus(
query="sum(node_memory_MemTotal_bytes{job='node_exporter_compute'})" # memory in bytes
)
)
pram_usage = int (
query_prometheus(
query="sum(node_memory_Active_bytes{job='node_exporter_compute'})"
)
)
vram_allocated = int(
query_prometheus(
query="sum(libvirt_domain_info_maximum_memory_bytes)"
)
)
vram_overcommit_max = float(
query_prometheus(
query="avg(avg_over_time(openstack_placement_resource_allocation_ratio{resourcetype='MEMORY_MB'}[5m]))"
)
)
vm_count = int(
query_prometheus(
query="sum(libvirt_domain_state_code)"
)
)
vm_active = int (
vm_active = int(
query_prometheus(
query="sum(libvirt_domain_state_code{stateDesc='the domain is running'})"
)
)
return {
"region_name": "",
# <--- Hosts data --->
"hosts_total": hosts_total,
vcpu_total = pcpu_total * vcpu_overcommit_max
vram_total = pram_total * vram_overcommit_max
context = {
# <--- Region data --->
"region": {
"name": region_name,
"hosts_total": 6,
},
# <--- CPU data --->
# pCPU data
"pcpu_total": pcpu_total,
"pcpu_usage": pcpu_usage,
"pcpu_free": pcpu_total - pcpu_usage,
"pcpu": {
"total": pcpu_total,
"usage": pcpu_usage,
"free": pcpu_total - pcpu_usage,
"used_percentage": pcpu_usage / pcpu_total * 100,
},
# vCPU data
"vcpu_total": vcpu_total,
"vcpu_allocated": vcpu_allocated,
"vcpu_free": vcpu_total - vcpu_allocated,
"vcpu_overcommit_ratio": vcpu_overcommit_ratio,
"vcpu_overcommit_max": vcpu_overcommit_max,
"vcpu": {
"total": vcpu_total,
"allocated": vcpu_allocated,
"free": vcpu_total - vcpu_allocated,
"allocated_percentage": vcpu_allocated / vcpu_total * 100,
"overcommit_ratio": vcpu_allocated / pcpu_total,
"overcommit_max": vcpu_overcommit_max,
},
# <--- RAM data --->
# pRAM data
"pram" : {
"total": pram_total,
"usage": pram_usage,
"free": pram_total - pram_usage,
"used_percentage": pram_usage / pram_total * 100,
},
# vRAM data
"vram": {
"total": vram_total,
"allocated": vram_allocated,
"free": vram_total - vram_allocated,
"allocated_percentage": vram_allocated / vram_total * 100,
"overcommit_ratio": vram_allocated / pram_total,
"overcommit_max": vram_overcommit_max,
},
# <--- VM data --->
"vm_count": vm_count,
"vm_active": vm_active,
"vm_stopped": vm_count - vm_active,
"vm_error": "",
"avg_cpu_per_vm": vcpu_allocated / vm_count,
"avg_ram_per_vm": "",
"vm_density": vm_count / hosts_total,
"vm": {
"count": vm_count,
"active": vm_active,
"stopped": vm_count - vm_active,
"avg_cpu": vcpu_allocated / vm_count,
"avg_ram": vram_allocated / vm_count,
"density": vm_count / hosts_total,
},
"flavors": flavors,
"audits": audits,
}
return context
def index(request):
context = {**_BASE,
# CPU and RAM utilization data
'cpu_total': 160,
'cpu_used': 45,
'cpu_free': 66,
'cpu_used_percentage': 42.0,
'ram_used': 128,
'ram_free': 256,
'ram_used_percentage': 33.3,
# Resource allocation data
'cpu_allocated': 94,
'cpu_total': 160,
'cpu_overcommit_ratio': 1.5,
'ram_allocated': 384,
'ram_total': 512,
'ram_overcommit_ratio': 1.2,
# Instance summary data
'vm_count': 47,
'vm_active': 42,
'vm_stopped': 5,
'vm_error': 0,
'common_flavor': 'm1.medium',
'common_flavor_count': 18,
'second_common_flavor': {
'name': 'm1.small',
'count': 12
hosts_total = 6
pcpu_total = 672
pcpu_usage = 39.2
vcpu_total = 3360
vcpu_allocated = 98
vcpu_overcommit_max = 5
pram_total = 562500000000
pram_usage = 4325000000
vram_total = 489375000000
vram_allocated = 5625000000
vram_overcommit_max = 0.87
vm_count = 120
vm_active = 90
context = {
# <--- Region data --->
"region": {
"name": "ct3k1ldt",
"hosts_total": 6,
},
'third_common_flavor': {
'name': 'm1.large',
'count': 8
# <--- CPU data --->
# pCPU data
"pcpu": {
"total": pcpu_total,
"usage": pcpu_usage,
"free": pcpu_total - pcpu_usage,
"used_percentage": pcpu_usage / pcpu_total * 100,
},
# vCPU data
"vcpu": {
"total": vcpu_total,
"allocated": vcpu_allocated,
"free": vcpu_total - vcpu_allocated,
"allocated_percentage": vcpu_allocated / vcpu_total * 100,
"overcommit_ratio": vcpu_allocated / pcpu_total,
"overcommit_max": vcpu_overcommit_max,
},
# <--- RAM data --->
# pRAM data
"pram" : {
"total": pram_total,
"usage": pram_usage,
"free": pram_total - pram_usage,
"used_percentage": pram_usage / pram_total * 100,
},
# vRAM data
"vram": {
"total": vram_total,
"allocated": vram_allocated,
"free": vram_total - vram_allocated,
"allocated_percentage": vram_allocated / vram_total * 100,
"overcommit_ratio": vram_allocated / pram_total,
"overcommit_max": vram_overcommit_max,
},
# <--- VM data --->
"vm": {
"count": vm_count,
"active": vm_active,
"stopped": vm_count - vm_active,
"avg_cpu": vcpu_allocated / vm_count,
"avg_ram": vram_allocated / vm_count,
"density": vm_count / hosts_total,
},
"flavors": {
'first_common_flavor': {
'name': 'm1.medium',
'count': 18
},
'second_common_flavor': {
'name': 'm1.small',
'count': 12
},
'third_common_flavor': {
'name': 'm1.large',
'count': 8
},
},
# Quick stats
'avg_cpu_per_vm': 2.0,
'avg_ram_per_vm': 8.2,
'vm_density': 9.4,
# Audit data
'audits': [
@@ -247,9 +324,9 @@ def index(request):
# Serialize lists for JavaScript
for audit in context['audits']:
audit['migrations'] = json.dumps(audit['migrations'])
audit['host_labels'] = json.dumps(audit['host_labels'])
audit['cpu_current'] = json.dumps(audit['cpu_current'])
audit['cpu_projected'] = json.dumps(audit['cpu_projected'])
audit['migrations'] = json.dumps(audit['migrations'])
audit['host_labels'] = json.dumps(audit['host_labels'])
audit['cpu_current'] = json.dumps(audit['cpu_current'])
audit['cpu_projected'] = json.dumps(audit['cpu_projected'])
return render(request, 'index.html', context)