Add dashboard statistics module and refactor views for metrics handling
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- Introduced a new `stats.py` module to encapsulate dashboard statistics building and cache key constants.
- Refactored `views.py` to utilize the new `build_stats` function for constructing metrics context, improving code organization and readability.
- Updated Prometheus query handling to streamline metrics fetching with a new `fetch_dashboard_metrics` function.
- Enhanced test cases to reflect changes in metrics fetching and context building, ensuring accurate functionality.
- Added new HTML templates for displaying detailed resource allocation and flavor statistics on the dashboard.
This commit is contained in:
2026-02-07 18:39:28 +03:00
parent 9fa0a78eb6
commit 6a27fecb13
11 changed files with 925 additions and 1083 deletions

View File

@@ -1,9 +1,37 @@
from concurrent.futures import ThreadPoolExecutor, as_completed
import requests
from watcher_visio.settings import PROMETHEUS_URL
# Timeout for lightweight health check (seconds)
CHECK_TIMEOUT = 5
# Dashboard Prometheus queries (query_key -> query string), run in parallel
DASHBOARD_QUERIES = {
"hosts_total": "count(node_exporter_build_info{job='node_exporter_compute'})",
"pcpu_total": (
"sum(count(node_cpu_seconds_total{job='node_exporter_compute', mode='idle'}) "
"without (cpu,mode))"
),
"pcpu_usage": "sum(node_load5{job='node_exporter_compute'})",
"vcpu_allocated": "sum(libvirt_domain_info_virtual_cpus)",
"vcpu_overcommit_max": (
"avg(openstack_placement_resource_allocation_ratio{resourcetype='VCPU'})"
),
"pram_total": "sum(node_memory_MemTotal_bytes{job='node_exporter_compute'})",
"pram_usage": "sum(node_memory_Active_bytes{job='node_exporter_compute'})",
"vram_allocated": "sum(libvirt_domain_info_maximum_memory_bytes)",
"vram_overcommit_max": (
"avg(avg_over_time("
"openstack_placement_resource_allocation_ratio{resourcetype='MEMORY_MB'}[5m]))"
),
"vm_count": "sum(libvirt_domain_state_code)",
"vm_active": "sum(libvirt_domain_state_code{stateDesc='the domain is running'})",
}
# Keys that should be parsed as float (rest as int)
DASHBOARD_FLOAT_KEYS = frozenset(("pcpu_usage", "vcpu_overcommit_max", "vram_overcommit_max"))
def check_prometheus() -> dict:
"""
@@ -36,3 +64,23 @@ def query_prometheus(query: str) -> str | list[str]:
return result
else:
return result[0]["value"][1]
def fetch_dashboard_metrics() -> dict:
"""Run all dashboard Prometheus queries in parallel and return a dict of name -> value."""
result = {}
with ThreadPoolExecutor(max_workers=len(DASHBOARD_QUERIES)) as executor:
future_to_key = {
executor.submit(query_prometheus, query=q): key for key, q in DASHBOARD_QUERIES.items()
}
for future in as_completed(future_to_key):
key = future_to_key[future]
try:
raw = future.result()
if key in DASHBOARD_FLOAT_KEYS:
result[key] = float(raw)
else:
result[key] = int(raw)
except (ValueError, TypeError):
result[key] = float(0) if key in DASHBOARD_FLOAT_KEYS else 0
return result

76
dashboard/stats.py Normal file
View File

@@ -0,0 +1,76 @@
"""Dashboard statistics building and cache key constants."""
# Cache keys used by views
CACHE_KEY_STATS = "dashboard_stats"
CACHE_KEY_AUDITS = "dashboard_audits"
CACHE_KEY_CURRENT_CLUSTER = "dashboard_current_cluster"
CACHE_KEY_SOURCE_STATUS = "dashboard_source_status"
# Empty structures for skeleton context (same shape as build_stats output)
EMPTY_FLAVORS = {
"first_common_flavor": {"name": "", "count": 0},
"second_common_flavor": None,
"third_common_flavor": None,
}
def build_stats(metrics: dict, region_name: str, flavors: dict) -> dict:
"""
Build stats dict from raw metrics and OpenStack-derived data.
Returns region, pcpu, vcpu, pram, vram, vm, flavors (no audits/current_cluster).
"""
hosts_total = metrics.get("hosts_total") or 1
pcpu_total = metrics.get("pcpu_total", 0)
pcpu_usage = metrics.get("pcpu_usage", 0)
vcpu_allocated = metrics.get("vcpu_allocated", 0)
vcpu_overcommit_max = metrics.get("vcpu_overcommit_max", 0)
pram_total = metrics.get("pram_total", 0)
pram_usage = metrics.get("pram_usage", 0)
vram_allocated = metrics.get("vram_allocated", 0)
vram_overcommit_max = metrics.get("vram_overcommit_max", 0)
vm_count = metrics.get("vm_count", 0)
vm_active = metrics.get("vm_active", 0)
vcpu_total = pcpu_total * vcpu_overcommit_max
vram_total = pram_total * vram_overcommit_max
return {
"region": {"name": region_name, "hosts_total": hosts_total},
"pcpu": {
"total": pcpu_total,
"usage": pcpu_usage,
"free": pcpu_total - pcpu_usage,
"used_percentage": (pcpu_usage / pcpu_total * 100) if pcpu_total else 0,
},
"vcpu": {
"total": vcpu_total,
"allocated": vcpu_allocated,
"free": vcpu_total - vcpu_allocated,
"allocated_percentage": (vcpu_allocated / vcpu_total * 100) if vcpu_total else 0,
"overcommit_ratio": (vcpu_allocated / pcpu_total) if pcpu_total else 0,
"overcommit_max": vcpu_overcommit_max,
},
"pram": {
"total": pram_total,
"usage": pram_usage,
"free": pram_total - pram_usage,
"used_percentage": (pram_usage / pram_total * 100) if pram_total else 0,
},
"vram": {
"total": vram_total,
"allocated": vram_allocated,
"free": vram_total - vram_allocated,
"allocated_percentage": (vram_allocated / vram_total * 100) if vram_total else 0,
"overcommit_ratio": (vram_allocated / pram_total) if pram_total else 0,
"overcommit_max": vram_overcommit_max,
},
"vm": {
"count": vm_count,
"active": vm_active,
"stopped": vm_count - vm_active,
"avg_cpu": vcpu_allocated / vm_count if vm_count else 0,
"avg_ram": vram_allocated / vm_count if vm_count else 0,
"density": vm_count / hosts_total if hosts_total else 0,
},
"flavors": flavors,
}

View File

@@ -96,7 +96,7 @@ class CollectContextTest(TestCase):
return conn
@patch("dashboard.views.get_current_cluster_cpu")
@patch("dashboard.views._fetch_prometheus_metrics")
@patch("dashboard.views.fetch_dashboard_metrics")
@patch("dashboard.views.get_audits")
@patch("dashboard.views.get_flavor_list")
@patch("dashboard.views.get_connection")
@@ -152,8 +152,6 @@ class CollectContextTest(TestCase):
self.assertEqual(context["flavors"]["first_common_flavor"]["name"], "m1.small")
self.assertEqual(len(context["audits"]), 1)
# Serialized for JS
import json
self.assertIsInstance(context["audits"][0]["migrations"], str)
self.assertEqual(json.loads(context["audits"][0]["host_labels"]), ["h0", "h1"])
self.assertIn("current_cluster", context)
@@ -167,7 +165,7 @@ class ApiStatsTest(TestCase):
def setUp(self):
self.factory = RequestFactory()
@patch("dashboard.views._fetch_prometheus_metrics")
@patch("dashboard.views.fetch_dashboard_metrics")
@patch("dashboard.views.get_flavor_list")
@patch("dashboard.views.get_connection")
def test_api_stats_returns_json_with_expected_keys(

View File

@@ -1,5 +1,4 @@
import json
from concurrent.futures import ThreadPoolExecutor, as_completed
from django.conf import settings
from django.core.cache import cache
@@ -10,53 +9,32 @@ from dashboard.mock_data import get_mock_context
from dashboard.openstack_utils.audits import get_audits, get_current_cluster_cpu
from dashboard.openstack_utils.connect import check_openstack, get_connection
from dashboard.openstack_utils.flavor import get_flavor_list
from dashboard.prometheus_utils.query import check_prometheus, query_prometheus
# Prometheus queries run in parallel (query_key -> query string)
_PROMETHEUS_QUERIES = {
"hosts_total": "count(node_exporter_build_info{job='node_exporter_compute'})",
"pcpu_total": (
"sum(count(node_cpu_seconds_total{job='node_exporter_compute', mode='idle'}) "
"without (cpu,mode))"
),
"pcpu_usage": "sum(node_load5{job='node_exporter_compute'})",
"vcpu_allocated": "sum(libvirt_domain_info_virtual_cpus)",
"vcpu_overcommit_max": (
"avg(openstack_placement_resource_allocation_ratio{resourcetype='VCPU'})"
),
"pram_total": "sum(node_memory_MemTotal_bytes{job='node_exporter_compute'})",
"pram_usage": "sum(node_memory_Active_bytes{job='node_exporter_compute'})",
"vram_allocated": "sum(libvirt_domain_info_maximum_memory_bytes)",
"vram_overcommit_max": (
"avg(avg_over_time("
"openstack_placement_resource_allocation_ratio{resourcetype='MEMORY_MB'}[5m]))"
),
"vm_count": "sum(libvirt_domain_state_code)",
"vm_active": "sum(libvirt_domain_state_code{stateDesc='the domain is running'})",
}
from dashboard.prometheus_utils.query import check_prometheus, fetch_dashboard_metrics
from dashboard.stats import (
CACHE_KEY_AUDITS,
CACHE_KEY_CURRENT_CLUSTER,
CACHE_KEY_SOURCE_STATUS,
CACHE_KEY_STATS,
EMPTY_FLAVORS,
build_stats,
)
def _fetch_prometheus_metrics():
"""Run all Prometheus queries in parallel and return a dict of name -> value."""
result = {}
with ThreadPoolExecutor(max_workers=len(_PROMETHEUS_QUERIES)) as executor:
future_to_key = {
executor.submit(query_prometheus, query=q): key
for key, q in _PROMETHEUS_QUERIES.items()
}
for future in as_completed(future_to_key):
key = future_to_key[future]
try:
raw = future.result()
if key in ("pcpu_usage", "vcpu_overcommit_max", "vram_overcommit_max"):
result[key] = float(raw)
else:
result[key] = int(raw)
except (ValueError, TypeError):
result[key] = (
0 if key in ("pcpu_usage", "vcpu_overcommit_max", "vram_overcommit_max") else 0
)
return result
def _empty_metrics():
"""Metrics dict with zero/default values for skeleton context."""
return {
"hosts_total": 0,
"pcpu_total": 0,
"pcpu_usage": 0,
"vcpu_allocated": 0,
"vcpu_overcommit_max": 0,
"pram_total": 0,
"pram_usage": 0,
"vram_allocated": 0,
"vram_overcommit_max": 0,
"vm_count": 0,
"vm_active": 0,
}
def collect_context():
@@ -64,81 +42,14 @@ def collect_context():
region_name = connection._compute_region
flavors = get_flavor_list(connection=connection)
audits = get_audits(connection=connection)
metrics = _fetch_prometheus_metrics()
hosts_total = metrics.get("hosts_total") or 1
pcpu_total = metrics.get("pcpu_total", 0)
pcpu_usage = metrics.get("pcpu_usage", 0)
vcpu_allocated = metrics.get("vcpu_allocated", 0)
vcpu_overcommit_max = metrics.get("vcpu_overcommit_max", 0)
pram_total = metrics.get("pram_total", 0)
pram_usage = metrics.get("pram_usage", 0)
vram_allocated = metrics.get("vram_allocated", 0)
vram_overcommit_max = metrics.get("vram_overcommit_max", 0)
vm_count = metrics.get("vm_count", 0)
vm_active = metrics.get("vm_active", 0)
vcpu_total = pcpu_total * vcpu_overcommit_max
vram_total = pram_total * vram_overcommit_max
context = {
# <--- Region data --->
"region": {
"name": region_name,
"hosts_total": hosts_total,
},
# <--- CPU data --->
# pCPU data
"pcpu": {
"total": pcpu_total,
"usage": pcpu_usage,
"free": pcpu_total - pcpu_usage,
"used_percentage": (pcpu_usage / pcpu_total * 100) if pcpu_total else 0,
},
# vCPU data
"vcpu": {
"total": vcpu_total,
"allocated": vcpu_allocated,
"free": vcpu_total - vcpu_allocated,
"allocated_percentage": (vcpu_allocated / vcpu_total * 100) if vcpu_total else 0,
"overcommit_ratio": (vcpu_allocated / pcpu_total) if pcpu_total else 0,
"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) if pram_total else 0,
},
# vRAM data
"vram": {
"total": vram_total,
"allocated": vram_allocated,
"free": vram_total - vram_allocated,
"allocated_percentage": (vram_allocated / vram_total * 100) if vram_total else 0,
"overcommit_ratio": (vram_allocated / pram_total) if pram_total else 0,
"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 if vm_count else 0,
"avg_ram": vram_allocated / vm_count if vm_count else 0,
"density": vm_count / hosts_total if hosts_total else 0,
},
"flavors": flavors,
"audits": audits,
}
metrics = fetch_dashboard_metrics()
context = build_stats(metrics, region_name, flavors)
context["audits"] = audits
current_cluster = get_current_cluster_cpu(connection)
context["current_cluster"] = {
"host_labels": json.dumps(current_cluster["host_labels"]),
"cpu_current": json.dumps(current_cluster["cpu_current"]),
}
# Serialize audit list fields for JavaScript so cached context is render-ready
for audit in context["audits"]:
audit["migrations"] = json.dumps(audit["migrations"])
audit["host_labels"] = json.dumps(audit["host_labels"])
@@ -152,60 +63,8 @@ def collect_stats():
connection = get_connection()
region_name = connection._compute_region
flavors = get_flavor_list(connection=connection)
metrics = _fetch_prometheus_metrics()
hosts_total = metrics.get("hosts_total") or 1
pcpu_total = metrics.get("pcpu_total", 0)
pcpu_usage = metrics.get("pcpu_usage", 0)
vcpu_allocated = metrics.get("vcpu_allocated", 0)
vcpu_overcommit_max = metrics.get("vcpu_overcommit_max", 0)
pram_total = metrics.get("pram_total", 0)
pram_usage = metrics.get("pram_usage", 0)
vram_allocated = metrics.get("vram_allocated", 0)
vram_overcommit_max = metrics.get("vram_overcommit_max", 0)
vm_count = metrics.get("vm_count", 0)
vm_active = metrics.get("vm_active", 0)
vcpu_total = pcpu_total * vcpu_overcommit_max
vram_total = pram_total * vram_overcommit_max
return {
"region": {"name": region_name, "hosts_total": hosts_total},
"pcpu": {
"total": pcpu_total,
"usage": pcpu_usage,
"free": pcpu_total - pcpu_usage,
"used_percentage": (pcpu_usage / pcpu_total * 100) if pcpu_total else 0,
},
"vcpu": {
"total": vcpu_total,
"allocated": vcpu_allocated,
"free": vcpu_total - vcpu_allocated,
"allocated_percentage": (vcpu_allocated / vcpu_total * 100) if vcpu_total else 0,
"overcommit_ratio": (vcpu_allocated / pcpu_total) if pcpu_total else 0,
"overcommit_max": vcpu_overcommit_max,
},
"pram": {
"total": pram_total,
"usage": pram_usage,
"free": pram_total - pram_usage,
"used_percentage": (pram_usage / pram_total * 100) if pram_total else 0,
},
"vram": {
"total": vram_total,
"allocated": vram_allocated,
"free": vram_total - vram_allocated,
"allocated_percentage": (vram_allocated / vram_total * 100) if vram_total else 0,
"overcommit_ratio": (vram_allocated / pram_total) if pram_total else 0,
"overcommit_max": vram_overcommit_max,
},
"vm": {
"count": vm_count,
"active": vm_active,
"stopped": vm_count - vm_active,
"avg_cpu": vcpu_allocated / vm_count if vm_count else 0,
"avg_ram": vram_allocated / vm_count if vm_count else 0,
"density": vm_count / hosts_total if hosts_total else 0,
},
"flavors": flavors,
}
metrics = fetch_dashboard_metrics()
return build_stats(metrics, region_name, flavors)
def collect_audits():
@@ -222,40 +81,14 @@ def collect_audits():
def _skeleton_context():
"""Minimal context for skeleton-only index render."""
empty_flavors = {
"first_common_flavor": {"name": "", "count": 0},
"second_common_flavor": None,
"third_common_flavor": None,
}
return {
"skeleton": True,
"region": {"name": "", "hosts_total": 0},
"pcpu": {"total": 0, "usage": 0, "free": 0, "used_percentage": 0},
"pram": {"total": 0, "usage": 0, "free": 0, "used_percentage": 0},
"vcpu": {
"total": 0,
"allocated": 0,
"free": 0,
"allocated_percentage": 0,
"overcommit_ratio": 0,
"overcommit_max": 0,
},
"vram": {
"total": 0,
"allocated": 0,
"free": 0,
"allocated_percentage": 0,
"overcommit_ratio": 0,
"overcommit_max": 0,
},
"vm": {"count": 0, "active": 0, "stopped": 0, "avg_cpu": 0, "avg_ram": 0, "density": 0},
"flavors": empty_flavors,
"audits": [],
"current_cluster": {
"host_labels": "[]",
"cpu_current": "[]",
},
context = build_stats(_empty_metrics(), "", EMPTY_FLAVORS)
context["skeleton"] = True
context["audits"] = []
context["current_cluster"] = {
"host_labels": "[]",
"cpu_current": "[]",
}
return context
def index(request):
@@ -267,28 +100,25 @@ def index(request):
def api_stats(request):
cache_key = "dashboard_stats"
cache_ttl = getattr(settings, "DASHBOARD_CACHE_TTL", 120)
data = cache.get(cache_key)
data = cache.get(CACHE_KEY_STATS)
if data is None:
data = collect_stats()
cache.set(cache_key, data, timeout=cache_ttl)
cache.set(CACHE_KEY_STATS, data, timeout=cache_ttl)
return JsonResponse(data)
def api_audits(request):
cache_key_audits = "dashboard_audits"
cache_key_cluster = "dashboard_current_cluster"
cache_ttl = getattr(settings, "DASHBOARD_CACHE_TTL", 120)
audits = cache.get(cache_key_audits)
current_cluster = cache.get(cache_key_cluster)
audits = cache.get(CACHE_KEY_AUDITS)
current_cluster = cache.get(CACHE_KEY_CURRENT_CLUSTER)
if audits is None:
audits = collect_audits()
cache.set(cache_key_audits, audits, timeout=cache_ttl)
cache.set(CACHE_KEY_AUDITS, audits, timeout=cache_ttl)
if current_cluster is None:
connection = get_connection()
current_cluster = get_current_cluster_cpu(connection)
cache.set(cache_key_cluster, current_cluster, timeout=cache_ttl)
cache.set(CACHE_KEY_CURRENT_CLUSTER, current_cluster, timeout=cache_ttl)
return JsonResponse({"audits": audits, "current_cluster": current_cluster})
@@ -302,13 +132,12 @@ def api_source_status(request):
}
)
cache_key = "dashboard_source_status"
cache_ttl = getattr(settings, "SOURCE_STATUS_CACHE_TTL", 30)
data = cache.get(cache_key)
data = cache.get(CACHE_KEY_SOURCE_STATUS)
if data is None:
data = {
"prometheus": check_prometheus(),
"openstack": check_openstack(),
}
cache.set(cache_key, data, timeout=cache_ttl)
cache.set(CACHE_KEY_SOURCE_STATUS, data, timeout=cache_ttl)
return JsonResponse(data)

309
static/js/dashboard.js Normal file
View File

@@ -0,0 +1,309 @@
/**
* Dashboard logic: stats rendering, audit selector, CPU chart, migration table.
* Expects globals: SKELETON_MODE, CURRENT_CLUSTER, auditData (set by index.html).
* Depends on: utils.js (formatBytes, getCSSVar, calculateStats)
*/
(function() {
var cpuDistributionChart = null;
document.getElementById('auditSelector').addEventListener('change', function(e) {
var option = this.options[this.selectedIndex];
if (!option) return;
document.getElementById('previewCpu').textContent = option.dataset.cpu || '1.0';
document.getElementById('previewRam').textContent = option.dataset.ram || '1.0';
document.getElementById('previewScope').textContent = option.dataset.scope || 'Full Cluster';
document.getElementById('previewStrategy').textContent = option.dataset.strategy || 'Balanced';
});
function setStat(key, text) {
document.querySelectorAll('[data-stats="' + key + '"]').forEach(function(el) {
el.textContent = text;
el.classList.remove('animate-pulse');
});
}
function setProgress(key, value) {
document.querySelectorAll('[data-stats="' + key + '"]').forEach(function(el) {
if (el.tagName === 'PROGRESS') {
el.value = value;
el.classList.remove('animate-pulse');
}
});
}
function renderStats(data) {
if (!data) return;
var el = function(k) { return document.querySelector('[data-stats="' + k + '"]'); };
var regionBadge = document.getElementById('regionBadge');
if (regionBadge) regionBadge.textContent = data.region && data.region.name ? data.region.name : '—';
setStat('pcpu.usage', Number((data.pcpu && data.pcpu.usage) || 0).toFixed(1));
setStat('pcpu.total', String((data.pcpu && data.pcpu.total) || 0));
setStat('pcpu.used_percentage', Number((data.pcpu && data.pcpu.used_percentage) || 0).toFixed(1) + '%');
setStat('pcpu.usage_val', Number((data.pcpu && data.pcpu.usage) || 0).toFixed(1) + ' CPU');
setProgress('pcpu.progress', (data.pcpu && data.pcpu.used_percentage) || 0);
setStat('pcpu.free', String((data.pcpu && data.pcpu.free) || 0));
var pramUsageGb = formatBytes(data.pram && data.pram.usage, 'GB');
var pramTotalGb = formatBytes(data.pram && data.pram.total, 'GB');
var pramFreeGb = formatBytes(data.pram && data.pram.free, 'GB');
setStat('pram.usage_gb', pramUsageGb);
setStat('pram.total_gb', pramTotalGb);
setStat('pram.used_percentage', Number((data.pram && data.pram.used_percentage) || 0).toFixed(1) + '%');
setStat('pram.usage_gb_val', pramUsageGb + ' GB');
setProgress('pram.progress', (data.pram && data.pram.used_percentage) || 0);
setStat('pram.free_gb', pramFreeGb + ' GB');
setStat('vm.active', String(data.vm && data.vm.active));
setStat('vm.stopped', String(data.vm && data.vm.stopped));
setStat('vm.count', String(data.vm && data.vm.count));
setStat('flavors.first_name', data.flavors && data.flavors.first_common_flavor ? data.flavors.first_common_flavor.name : '—');
setStat('vm.avg_cpu', Number((data.vm && data.vm.avg_cpu) || 0).toFixed(1));
setStat('vm.density', Number((data.vm && data.vm.density) || 0).toFixed(1) + '/host');
setStat('vcpu.allocated_total', ((data.vcpu && data.vcpu.allocated) || 0) + ' / ' + ((data.vcpu && data.vcpu.total) || 0) + ' vCPU');
setProgress('vcpu.progress', (data.vcpu && data.vcpu.allocated_percentage) || 0);
setStat('vcpu.allocated_percentage', Number((data.vcpu && data.vcpu.allocated_percentage) || 0).toFixed(1) + '%');
var vcpuOver = el('vcpu.overcommit');
if (vcpuOver) {
vcpuOver.textContent = 'overcommit: ' + Number((data.vcpu && data.vcpu.overcommit_ratio) || 0).toFixed(1) + ' / ' + Number((data.vcpu && data.vcpu.overcommit_max) || 0).toFixed(1) + ' — ' + Number((data.vcpu && data.vcpu.allocated_percentage) || 0).toFixed(1) + '% allocated';
vcpuOver.classList.remove('animate-pulse');
}
var vramAllocGb = formatBytes(data.vram && data.vram.allocated, 'GB');
var vramTotalGb = formatBytes(data.vram && data.vram.total, 'GB');
setStat('vram.allocated_total', vramAllocGb + ' / ' + vramTotalGb + ' GB');
setProgress('vram.progress', (data.vram && data.vram.allocated_percentage) || 0);
setStat('vram.allocated_percentage', Number((data.vram && data.vram.allocated_percentage) || 0).toFixed(1) + '%');
var vramOver = el('vram.overcommit');
if (vramOver) {
vramOver.textContent = 'overcommit: ' + Number((data.vram && data.vram.overcommit_ratio) || 0).toFixed(1) + ' / ' + Number((data.vram && data.vram.overcommit_max) || 0).toFixed(1) + ' — ' + Number((data.vram && data.vram.allocated_percentage) || 0).toFixed(1) + '% allocated';
vramOver.classList.remove('animate-pulse');
}
setStat('flavors.first_count', (data.flavors && data.flavors.first_common_flavor ? data.flavors.first_common_flavor.count : 0) + ' instances');
var vmCount = data.vm && data.vm.count ? data.vm.count : 0;
var firstCount = data.flavors && data.flavors.first_common_flavor ? data.flavors.first_common_flavor.count : 0;
setStat('flavors.first_share', (vmCount ? Math.round(firstCount / vmCount * 100) : 0) + '%');
setStat('flavors.second_name', data.flavors && data.flavors.second_common_flavor ? data.flavors.second_common_flavor.name : '—');
setStat('flavors.second_count', data.flavors && data.flavors.second_common_flavor ? String(data.flavors.second_common_flavor.count) : '—');
setStat('flavors.third_name', data.flavors && data.flavors.third_common_flavor ? data.flavors.third_common_flavor.name : '—');
setStat('flavors.third_count', data.flavors && data.flavors.third_common_flavor ? String(data.flavors.third_common_flavor.count) : '—');
document.querySelectorAll('[data-stats]').forEach(function(n) { n.classList.remove('animate-pulse'); });
}
function renderAudits(auditsList) {
if (!auditsList || !auditsList.length) {
var countEl = document.getElementById('auditsCount');
if (countEl) countEl.textContent = '0 available';
var sel = document.getElementById('auditSelector');
if (sel) { sel.disabled = false; sel.innerHTML = '<option value="">No audits</option>'; }
return;
}
window.auditData = {};
auditsList.forEach(function(a) {
window.auditData[a.id] = {
name: a.name,
migrations: typeof a.migrations === 'string' ? JSON.parse(a.migrations) : a.migrations,
hostData: {
labels: typeof a.host_labels === 'string' ? JSON.parse(a.host_labels) : a.host_labels,
current: typeof a.cpu_current === 'string' ? JSON.parse(a.cpu_current) : a.cpu_current,
projected: typeof a.cpu_projected === 'string' ? JSON.parse(a.cpu_projected) : a.cpu_projected
}
};
});
var sel = document.getElementById('auditSelector');
if (sel) {
sel.disabled = false;
sel.innerHTML = '';
auditsList.forEach(function(audit) {
var opt = document.createElement('option');
opt.value = audit.id;
opt.setAttribute('data-cpu', audit.cpu_weight || '1.0');
opt.setAttribute('data-ram', audit.ram_weight || '1.0');
opt.setAttribute('data-scope', audit.scope || 'Full Cluster');
opt.setAttribute('data-strategy', audit.strategy || 'Balanced');
opt.setAttribute('data-goal', audit.goal || '');
var dateStr = audit.created_at ? new Date(audit.created_at).toLocaleDateString('en-US', { month: 'short', day: 'numeric' }) : '';
opt.textContent = audit.name + ' (' + dateStr + ')';
sel.appendChild(opt);
});
}
var countEl = document.getElementById('auditsCount');
if (countEl) countEl.textContent = auditsList.length + ' available';
if (auditsList.length > 0) {
document.getElementById('auditSelector').dispatchEvent(new Event('change'));
loadSelectedAudit();
}
}
window.loadSelectedAudit = function() {
var auditId = document.getElementById('auditSelector').value;
updateMigrationTable(auditId);
updateCPUCharts(auditId);
};
function updateMigrationTable(auditId) {
var tbody = document.getElementById('migrationTableBody');
var migrationCount = document.getElementById('migrationCount');
var data = window.auditData && window.auditData[auditId];
if (!data || !data.migrations || data.migrations.length === 0) {
tbody.innerHTML = '<tr><td colspan="4" class="text-center py-6 text-base-content/60">No migration actions recommended</td></tr>';
migrationCount.textContent = '0 actions';
return;
}
var html = '';
data.migrations.forEach(function(migration) {
var impact = migration.impact || 'Low';
var impactClass = { 'Low': 'badge-success', 'Medium': 'badge-warning', 'High': 'badge-error' }[impact] || 'badge-neutral';
html += '<tr><td class="font-medium"><div>' + migration.instanceName + '</div></td><td><div class="flex items-center gap-2"><span class="badge badge-outline badge-xs">' + migration.source + '</span><svg class="w-3 h-3 text-base-content/30" fill="none" stroke="currentColor" viewBox="0 0 24 24"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13 7l5 5m0 0l-5 5m5-5H6"/></svg><span class="badge badge-primary badge-outline badge-xs">' + migration.destination + '</span></div></td><td><code class="text-xs bg-base-200 px-2 py-1 rounded">' + migration.flavor + '</code></td><td><span class="badge ' + impactClass + ' badge-xs">' + impact + '</span></td></tr>';
});
tbody.innerHTML = html;
migrationCount.textContent = data.migrations.length + ' action' + (data.migrations.length !== 1 ? 's' : '');
}
function updateCPUCharts(auditId) {
var data = window.auditData && window.auditData[auditId];
if (!data || !data.hostData) return;
var ctx = document.getElementById('cpuDistributionChart').getContext('2d');
var currentStats = calculateStats(data.hostData.current);
document.getElementById('currentCpuMean').textContent = currentStats.mean.toFixed(1);
document.getElementById('currentCpuStd').textContent = (currentStats.std * 0.5).toFixed(1);
if (cpuDistributionChart) cpuDistributionChart.destroy();
var colors = {
primary: getCSSVar('--color-primary'),
secondary: getCSSVar('--color-secondary'),
accent: getCSSVar('--color-accent'),
neutral: getCSSVar('--color-neutral'),
info: getCSSVar('--color-info'),
success: getCSSVar('--color-success'),
warning: getCSSVar('--color-warning'),
error: getCSSVar('--color-error')
};
var textColor = getCSSVar('--color-base-content');
var gridColor = getCSSVar('--chart-grid-color') || textColor;
cpuDistributionChart = new Chart(ctx, {
type: 'bar',
data: {
labels: data.hostData.labels,
datasets: [
{ label: 'Current', data: data.hostData.current.slice(), backgroundColor: colors.info + '40', borderColor: colors.info, borderWidth: 1, borderRadius: 3 },
{ label: 'Projected', data: data.hostData.projected.slice(), backgroundColor: colors.warning + '40', borderColor: colors.warning, borderWidth: 1, borderRadius: 3 }
]
},
options: {
responsive: true,
maintainAspectRatio: false,
animation: {
onComplete: function() {
var chart = this.chart || this;
if (chart._hidingDataset === undefined) return;
var i = chart._hidingDataset;
chart.getDatasetMeta(i).hidden = true;
chart.data.datasets[i].data = chart._cpuOriginalData[i].slice();
delete chart._hidingDataset;
chart.update('none');
}
},
plugins: {
legend: {
display: true,
position: 'top',
align: 'center',
onClick: function(e, legendItem, legend) {
var i = legendItem.datasetIndex;
var chart = legend.chart;
var len = chart.data.labels.length;
if (chart.isDatasetVisible(i)) {
chart._hidingDataset = i;
chart.data.datasets[i].data = Array(len).fill(0);
chart.update();
} else {
chart.data.datasets[i].data = Array(len).fill(0);
chart.show(i);
chart.update('none');
chart.data.datasets[i].data = chart._cpuOriginalData[i].slice();
chart.update();
}
},
labels: {
usePointStyle: true,
pointStyle: 'rect',
boxWidth: 14,
boxHeight: 14,
padding: 12,
color: textColor,
generateLabels: function(chart) {
var datasets = chart.data.datasets;
var labelColor = getCSSVar('--color-base-content') || textColor;
return datasets.map(function(ds, i) {
return { text: ds.label, fillStyle: ds.borderColor, strokeStyle: ds.borderColor, lineWidth: 1, fontColor: labelColor, color: labelColor, hidden: !chart.isDatasetVisible(i), datasetIndex: i };
});
}
}
},
tooltip: {
callbacks: { label: function(ctx) { return ctx.dataset.label + ': ' + Number(ctx.parsed.y).toFixed(2) + '% CPU'; } }
},
annotation: {
annotations: {
MeanLine: { type: 'line', yMin: currentStats.mean, yMax: currentStats.mean, borderColor: colors.success, borderWidth: 2, borderDash: [] },
upperStdLine: { type: 'line', yMin: currentStats.mean + currentStats.std * 0.5, yMax: currentStats.mean + currentStats.std * 0.5, borderColor: colors.error, borderWidth: 1, borderDash: [5, 5] },
lowerStdLine: { type: 'line', yMin: currentStats.mean > currentStats.std * 0.5 ? currentStats.mean - currentStats.std * 0.5 : 0, yMax: currentStats.mean > currentStats.std * 0.5 ? currentStats.mean - currentStats.std * 0.5 : 0, borderColor: colors.error, borderWidth: 1, borderDash: [5, 5] }
}
}
},
scales: {
y: { beginAtZero: true, max: 100, grid: { drawBorder: false, color: gridColor }, ticks: { color: textColor, callback: function(value) { return value + '%'; } } },
x: { grid: { display: false }, ticks: { display: false }, barPercentage: 1, categoryPercentage: 0.85 }
}
}
});
cpuDistributionChart._cpuOriginalData = [ data.hostData.current.slice(), data.hostData.projected.slice() ];
}
document.addEventListener('DOMContentLoaded', function() {
if (typeof SKELETON_MODE !== 'undefined' && SKELETON_MODE) {
Promise.all([
fetch('/api/stats/').then(function(r) { return r.ok ? r.json() : Promise.reject(r); }),
fetch('/api/audits/').then(function(r) { return r.ok ? r.json() : Promise.reject(r); })
]).then(function(results) {
renderStats(results[0]);
renderAudits(results[1].audits);
if (!results[1].audits || results[1].audits.length === 0) {
var cc = results[1].current_cluster;
if (cc && cc.host_labels && cc.cpu_current && cc.host_labels.length) {
window.auditData = window.auditData || {};
window.auditData.current = { hostData: { labels: cc.host_labels, current: cc.cpu_current, projected: cc.cpu_current } };
updateCPUCharts('current');
}
}
}).catch(function(err) {
var msg = err.status ? 'Failed to load data (' + err.status + ')' : 'Failed to load data';
var countEl = document.getElementById('auditsCount');
if (countEl) countEl.textContent = msg;
fetch('/api/stats/').then(function(r) { return r.ok ? r.json() : null; }).then(function(d) { if (d) renderStats(d); });
fetch('/api/audits/').then(function(r) { return r.ok ? r.json() : null; }).then(function(d) { if (d && d.audits) renderAudits(d.audits); });
});
} else {
var initialAudit = typeof INITIAL_AUDIT_ID !== 'undefined' ? INITIAL_AUDIT_ID : '';
if (initialAudit && window.auditData && window.auditData[initialAudit]) {
document.getElementById('auditSelector').dispatchEvent(new Event('change'));
loadSelectedAudit();
} else if (!initialAudit && typeof CURRENT_CLUSTER !== 'undefined' && CURRENT_CLUSTER && CURRENT_CLUSTER.host_labels && CURRENT_CLUSTER.host_labels.length) {
window.auditData = window.auditData || {};
window.auditData.current = { hostData: { labels: CURRENT_CLUSTER.host_labels, current: CURRENT_CLUSTER.cpu_current, projected: CURRENT_CLUSTER.cpu_current } };
updateCPUCharts('current');
}
}
});
document.addEventListener('themechange', function() {
if (cpuDistributionChart) {
var auditId = document.getElementById('auditSelector').value;
cpuDistributionChart.destroy();
cpuDistributionChart = null;
if (auditId) updateCPUCharts(auditId);
}
});
})();

View File

@@ -0,0 +1,151 @@
{% load mathfilters %}
<!-- DETAILED OVERVIEW -->
<section class="grid grid-cols-1 lg:grid-cols-2 gap-4" aria-label="Resource allocation and flavors">
<!-- Resource Allocation -->
<div class="card bg-base-100 shadow-sm border-t-gradient-vtb" id="statsAllocationCard">
<div class="card-body p-5">
<h2 class="text-lg font-semibold mb-4 flex items-center gap-2">
<svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M9 19v-6a2 2 0 00-2-2H5a2 2 0 00-2 2v6a2 2 0 002 2h2a2 2 0 002-2zm0 0V9a2 2 0 012-2h2a2 2 0 012 2v10m-6 0a2 2 0 002 2h2a2 2 0 002-2m0 0V5a2 2 0 012-2h2a2 2 0 012 2v14a2 2 0 01-2 2h-2a2 2 0 01-2-2z"/>
</svg>
Resource Allocation
</h2>
{% if skeleton %}
<div class="mb-4">
<div class="flex justify-between text-xs mb-1">
<span class="text-base-content/70">CPU Allocation</span>
<span class="font-medium animate-pulse" data-stats="vcpu.allocated_total">— / — vCPU</span>
</div>
<div class="flex items-center gap-2">
<progress class="progress progress-primary flex-1 animate-pulse" data-stats="vcpu.progress" value="0" max="100"></progress>
<span class="text-xs font-medium w-12 text-right animate-pulse" data-stats="vcpu.allocated_percentage">—%</span>
</div>
<div class="flex justify-between text-xs mt-1 animate-pulse" data-stats="vcpu.overcommit"></div>
</div>
<div>
<div class="flex justify-between text-xs mb-1">
<span class="text-base-content/70">RAM Allocation</span>
<span class="font-medium animate-pulse" data-stats="vram.allocated_total">— / — GB</span>
</div>
<div class="flex items-center gap-2">
<progress class="progress progress-secondary flex-1 animate-pulse" data-stats="vram.progress" value="0" max="100"></progress>
<span class="text-xs font-medium w-12 text-right animate-pulse" data-stats="vram.allocated_percentage">—%</span>
</div>
<div class="flex justify-between text-xs mt-1 animate-pulse" data-stats="vram.overcommit"></div>
</div>
{% else %}
<!-- CPU Allocation -->
<div class="mb-4">
<div class="flex justify-between text-xs mb-1">
<span class="text-base-content/70">CPU Allocation</span>
<span class="font-medium">{{ vcpu.allocated }} / {{ vcpu.total }} vCPU</span>
</div>
<div class="flex items-center gap-2">
<progress class="progress progress-primary flex-1" value="{{ vcpu.allocated_percentage }}" max="100"></progress>
<span class="text-xs font-medium w-12 text-right">{{ vcpu.allocated_percentage|floatformat:1 }}%</span>
</div>
<div class="flex justify-between text-xs mt-1">
<span class="text-base-content/60">overcommit: {{ vcpu.overcommit_ratio|floatformat:1 }} / {{ vcpu.overcommit_max|floatformat:1 }}</span>
<span class="text-base-content/60">{{ vcpu.allocated_percentage|floatformat:1 }}% allocated</span>
</div>
</div>
<!-- RAM Allocation -->
<div>
<div class="flex justify-between text-xs mb-1">
<span class="text-base-content/70">RAM Allocation</span>
<span class="font-medium">{{ vram.allocated|convert_bytes }} / {{ vram.total|convert_bytes }} GB</span>
</div>
<div class="flex items-center gap-2">
<progress class="progress progress-secondary flex-1" value="{{ vram.allocated_percentage }}" max="100"></progress>
<span class="text-xs font-medium w-12 text-right">{{ vram.allocated_percentage|floatformat:1 }}%</span>
</div>
<div class="flex justify-between text-xs mt-1">
<span class="text-base-content/60">overcommit: {{ vram.overcommit_ratio|floatformat:1 }} / {{ vram.overcommit_max|floatformat:1 }}</span>
<span class="text-base-content/60">{{ vram.allocated_percentage|floatformat:1 }}% allocated</span>
</div>
</div>
{% endif %}
</div>
</div>
<!-- Flavor Distribution -->
<div class="card bg-base-100 shadow-sm border-t-gradient-vtb" id="statsFlavorsCard">
<div class="card-body p-5">
<h2 class="text-lg font-semibold mb-4 flex items-center gap-2">
<svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M11 3.055A9.001 9.001 0 1020.945 13H11V3.055z"/>
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M20.488 9H15V3.512A9.025 9.025 0 0120.488 9z"/>
</svg>
Top Flavors
</h2>
{% if skeleton %}
<div class="space-y-3">
<div class="bg-base-200/50 rounded-lg p-3">
<div class="flex justify-between items-center mb-1">
<span class="text-sm font-medium animate-pulse" data-stats="flavors.first_name"></span>
<span class="text-xs badge badge-primary animate-pulse" data-stats="flavors.first_count">— instances</span>
</div>
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Share</span>
<span class="font-medium animate-pulse" data-stats="flavors.first_share">—%</span>
</div>
</div>
<div class="space-y-2">
<div class="flex justify-between items-center text-sm">
<div class="flex items-center gap-2">
<div class="w-1.5 h-1.5 rounded-full bg-base-content/30"></div>
<span class="animate-pulse" data-stats="flavors.second_name"></span>
</div>
<span class="text-xs badge badge-outline animate-pulse" data-stats="flavors.second_count"></span>
</div>
<div class="flex justify-between items-center text-sm">
<div class="flex items-center gap-2">
<div class="w-1.5 h-1.5 rounded-full bg-base-content/30"></div>
<span class="animate-pulse" data-stats="flavors.third_name"></span>
</div>
<span class="text-xs badge badge-outline animate-pulse" data-stats="flavors.third_count"></span>
</div>
</div>
</div>
{% else %}
<div class="space-y-3">
<!-- Most Common -->
<div class="bg-base-200/50 rounded-lg p-3">
<div class="flex justify-between items-center mb-1">
<span class="text-sm font-medium">{{ flavors.first_common_flavor.name }}</span>
<span class="text-xs badge badge-primary">{{ flavors.first_common_flavor.count }} instances</span>
</div>
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Share</span>
<span class="font-medium">{{ flavors.first_common_flavor.count|div:vm.count|mul:100|floatformat:0 }}%</span>
</div>
</div>
<!-- Other Flavors -->
<div class="space-y-2">
{% if flavors.second_common_flavor %}
<div class="flex justify-between items-center text-sm">
<div class="flex items-center gap-2">
<div class="w-1.5 h-1.5 rounded-full bg-base-content/30"></div>
<span>{{ flavors.second_common_flavor.name }}</span>
</div>
<span class="text-xs badge badge-outline">{{ flavors.second_common_flavor.count }}</span>
</div>
{% endif %}
{% if flavors.third_common_flavor %}
<div class="flex justify-between items-center text-sm">
<div class="flex items-center gap-2">
<div class="w-1.5 h-1.5 rounded-full bg-base-content/30"></div>
<span>{{ flavors.third_common_flavor.name }}</span>
</div>
<span class="text-xs badge badge-outline">{{ flavors.third_common_flavor.count }}</span>
</div>
{% endif %}
</div>
</div>
{% endif %}
</div>
</div>
</section>

View File

@@ -0,0 +1,71 @@
<!-- AUDIT CONTROL -->
<section aria-label="Audit analysis">
<div class="card bg-base-100 shadow-sm" id="auditSection">
<div class="card-body p-5">
<div class="flex flex-col sm:flex-row sm:items-center justify-between gap-3 mb-4">
<div>
<h2 class="text-lg font-semibold">Audit Analysis</h2>
<div class="text-base text-base-content/60 mt-0.5">Select an audit to analyze resource distribution</div>
</div>
<div class="flex items-center gap-2">
<span class="text-xs text-base-content/60" id="auditsCount">{% if skeleton %}Loading…{% else %}{{ audits|length }} available{% endif %}</span>
<div class="dropdown dropdown-end no-print">
<label tabindex="0" class="btn btn-xs btn-ghost">
<svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13 16h-1v-4h-1m1-4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z"/>
</svg>
Info
</label>
<div tabindex="0" class="dropdown-content z-[1] card card-compact w-64 p-2 shadow bg-base-100">
<div class="card-body">
<div class="text-xs space-y-1">
<div class="flex justify-between">
<span class="text-base-content/60">Strategy:</span>
<span id="previewStrategy">Balanced</span>
</div>
<div class="flex justify-between">
<span class="text-base-content/60">Scope:</span>
<span id="previewScope">Full Cluster</span>
</div>
<div class="flex justify-between">
<span class="text-base-content/60">CPU Weight:</span>
<span id="previewCpu">1.0</span>
</div>
<div class="flex justify-between">
<span class="text-base-content/60">RAM Weight:</span>
<span id="previewRam">1.0</span>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="flex flex-col md:flex-row gap-3">
<select id="auditSelector" class="select select-bordered select-sm flex-1" {% if skeleton %}disabled{% endif %}>
{% if skeleton %}
<option value="">Loading…</option>
{% else %}
{% for audit in audits %}
<option value="{{ audit.id }}"
data-cpu="{{ audit.cpu_weight }}"
data-ram="{{ audit.ram_weight }}"
data-scope="{{ audit.scope }}"
data-strategy="{{ audit.strategy }}"
data-goal="{{ audit.goal }}">
{{ audit.name }} ({{ audit.created_at|date:"M d" }})
</option>
{% endfor %}
{% endif %}
</select>
<button type="button" onclick="loadSelectedAudit()" class="btn btn-primary btn-sm gap-2 no-print">
<svg class="w-4 h-4 shrink-0" fill="none" stroke="currentColor" viewBox="0 0 24 24" aria-hidden="true">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13 7l5 5m0 0l-5 5m5-5H6"/>
</svg>
Load Analysis
</button>
</div>
</div>
</div>
</section>

View File

@@ -0,0 +1,53 @@
<!-- ANALYSIS VISUALIZATION -->
<section aria-label="CPU distribution chart">
<div class="card bg-base-100 shadow-sm">
<div class="card-body p-5">
<h3 class="text-lg font-semibold mb-4">CPU Distribution (Current vs Projected)</h3>
<div class="h-48">
<canvas id="cpuDistributionChart"></canvas>
</div>
<div class="flex items-center justify-center gap-3 mt-3">
<div class="flex items-center gap-1 text-xs">
<div class="w-3 h-0.5 bg-success"></div>
<span class="text-success">Mean: <span id="currentCpuMean">0</span>%</span>
</div>
<div class="flex items-center gap-1 text-xs">
<div class="w-3 h-0.5 bg-error/60"></div>
<span class="text-error/60">±0.5σ: <span id="currentCpuStd">0</span>%</span>
</div>
</div>
</div>
</div>
</section>
<!-- MIGRATION ACTIONS -->
<section aria-label="Migration actions">
<div class="card bg-base-100 shadow-sm">
<div class="card-body p-6">
<div class="flex items-center justify-between mb-4">
<h3 class="text-lg font-semibold">Migration Actions</h3>
<div class="badge badge-neutral badge-sm" id="migrationCount">Select audit</div>
</div>
<div class="overflow-x-auto">
<table class="table table-zebra table-sm">
<thead>
<tr class="bg-base-200">
<th class="text-xs font-medium">Instance</th>
<th class="text-xs font-medium">Source → Destination</th>
<th class="text-xs font-medium">Flavor</th>
<th class="text-xs font-medium">Impact</th>
</tr>
</thead>
<tbody id="migrationTableBody" class="text-sm">
<tr>
<td colspan="4" class="text-center py-6 text-base-content/60">
No audit selected. Load an audit to view migration recommendations.
</td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
</section>

View File

@@ -0,0 +1,162 @@
{% load mathfilters %}
<!-- QUICK STATS ROW -->
<section class="grid grid-cols-1 lg:grid-cols-3 gap-4" aria-label="Quick stats">
<!-- CPU Utilization -->
<div class="card bg-base-100 shadow-sm hover:shadow transition-shadow" id="statsPcpuCard">
<div class="card-body p-5">
{% if skeleton %}
<div class="flex items-center justify-between mb-3">
<div>
<h3 class="text-sm font-medium text-base-content/70">CPU Utilization</h3>
<div class="text-xs text-base-content/60 mt-0.5 animate-pulse"><span data-stats="pcpu.usage"></span> / <span data-stats="pcpu.total"></span> CPU</div>
</div>
<div class="text-xl font-bold text-primary animate-pulse" data-stats="pcpu.used_percentage">—%</div>
</div>
<div class="space-y-2">
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Used</span>
<span class="font-medium animate-pulse" data-stats="pcpu.usage_val"></span>
</div>
<progress class="progress progress-primary w-full animate-pulse" data-stats="pcpu.progress" value="0" max="100"></progress>
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Free</span>
<span class="font-medium animate-pulse" data-stats="pcpu.free"></span>
</div>
</div>
{% else %}
<div class="flex items-center justify-between mb-3">
<div>
<h3 class="text-sm font-medium text-base-content/70">CPU Utilization</h3>
<div class="text-xs text-base-content/60 mt-0.5">{{ pcpu.usage|floatformat:1 }} / {{ pcpu.total }} CPU</div>
</div>
<div class="text-xl font-bold text-primary">{{ pcpu.used_percentage|floatformat:1 }}%</div>
</div>
<div class="space-y-2">
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Used</span>
<span class="font-medium">{{ pcpu.usage|floatformat:1 }} CPU</span>
</div>
<progress class="progress progress-primary w-full" value="{{ pcpu.used_percentage }}" max="100"></progress>
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Free</span>
<span class="font-medium">{{ pcpu.free }} CPU</span>
</div>
</div>
{% endif %}
</div>
</div>
<!-- RAM Utilization -->
<div class="card bg-base-100 shadow-sm hover:shadow transition-shadow" id="statsPramCard">
<div class="card-body p-5">
{% if skeleton %}
<div class="flex items-center justify-between mb-3">
<div>
<h3 class="text-sm font-medium text-base-content/70">RAM Utilization</h3>
<div class="text-xs text-base-content/60 mt-0.5 animate-pulse"><span data-stats="pram.usage_gb"></span> / <span data-stats="pram.total_gb"></span> GB</div>
</div>
<div class="text-xl font-bold text-secondary animate-pulse" data-stats="pram.used_percentage">—%</div>
</div>
<div class="space-y-2">
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Used</span>
<span class="font-medium animate-pulse" data-stats="pram.usage_gb_val"></span>
</div>
<progress class="progress progress-secondary w-full animate-pulse" data-stats="pram.progress" value="0" max="100"></progress>
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Free</span>
<span class="font-medium animate-pulse" data-stats="pram.free_gb"></span>
</div>
</div>
{% else %}
<div class="flex items-center justify-between mb-3">
<div>
<h3 class="text-sm font-medium text-base-content/70">RAM Utilization</h3>
<div class="text-xs text-base-content/60 mt-0.5">{{ pram.usage|convert_bytes }} / {{ pram.total|convert_bytes }} GB</div>
</div>
<div class="text-xl font-bold text-secondary">{{ pram.used_percentage|floatformat:1 }}%</div>
</div>
<div class="space-y-2">
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Used</span>
<span class="font-medium">{{ pram.usage|convert_bytes }} GB</span>
</div>
<progress class="progress progress-secondary w-full" value="{{ pram.used_percentage }}" max="100"></progress>
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Free</span>
<span class="font-medium">{{ pram.free|convert_bytes }} GB</span>
</div>
</div>
{% endif %}
</div>
</div>
<!-- Instance Summary -->
<div class="card bg-base-100 shadow-sm hover:shadow transition-shadow" id="statsVmCard">
<div class="card-body p-5">
{% if skeleton %}
<div class="flex items-center justify-between mb-3">
<div>
<h3 class="text-sm font-medium text-base-content/70">Instances</h3>
<div class="text-xs text-base-content/60 mt-0.5 animate-pulse"><span data-stats="vm.active"></span> active / <span data-stats="vm.stopped"></span> stopped</div>
</div>
<div class="text-xl font-bold text-accent animate-pulse" data-stats="vm.count"></div>
</div>
<div class="space-y-3">
<div class="flex justify-between items-center text-xs">
<div class="flex items-center gap-2">
<div class="w-2 h-2 rounded-full bg-success"></div>
<span>Most Used Flavor</span>
</div>
<span class="font-medium animate-pulse" data-stats="flavors.first_name"></span>
</div>
<div class="flex justify-between items-center text-xs">
<div class="flex items-center gap-2">
<div class="w-2 h-2 rounded-full bg-info"></div>
<span>Avg. vCPU/VM</span>
</div>
<span class="font-medium animate-pulse" data-stats="vm.avg_cpu"></span>
</div>
<div class="flex justify-between items-center text-xs">
<div class="flex items-center gap-2">
<div class="w-2 h-2 rounded-full bg-warning"></div>
<span>Density</span>
</div>
<span class="font-medium animate-pulse" data-stats="vm.density"></span>
</div>
</div>
{% else %}
<div class="flex items-center justify-between mb-3">
<div>
<h3 class="text-sm font-medium text-base-content/70">Instances</h3>
<div class="text-xs text-base-content/60 mt-0.5">{{ vm.active }} active / {{ vm.stopped }} stopped</div>
</div>
<div class="text-xl font-bold text-accent">{{ vm.count }}</div>
</div>
<div class="space-y-3">
<div class="flex justify-between items-center text-xs">
<div class="flex items-center gap-2">
<div class="w-2 h-2 rounded-full bg-success"></div>
<span>Most Used Flavor</span>
</div>
<span class="font-medium">{{ flavors.first_common_flavor.name }}</span>
</div>
<div class="flex justify-between items-center text-xs">
<div class="flex items-center gap-2">
<div class="w-2 h-2 rounded-full bg-info"></div>
<span>Avg. vCPU/VM</span>
</div>
<span class="font-medium">{{ vm.avg_cpu|floatformat:1 }}</span>
</div>
<div class="flex justify-between items-center text-xs">
<div class="flex items-center gap-2">
<div class="w-2 h-2 rounded-full bg-warning"></div>
<span>Density</span>
</div>
<span class="font-medium">{{ vm.density|floatformat:1 }}/host</span>
</div>
</div>
{% endif %}
</div>
</div>
</section>

View File

@@ -11,444 +11,10 @@
{% block content %}
<!-- MAIN DASHBOARD -->
<div id="dashboard-content" class="p-4 space-y-8" {% if skeleton %}data-dashboard="skeleton"{% endif %}>
<!-- QUICK STATS ROW -->
<section class="grid grid-cols-1 lg:grid-cols-3 gap-4" aria-label="Quick stats">
<!-- CPU Utilization -->
<div class="card bg-base-100 shadow-sm hover:shadow transition-shadow" id="statsPcpuCard">
<div class="card-body p-5">
{% if skeleton %}
<div class="flex items-center justify-between mb-3">
<div>
<h3 class="text-sm font-medium text-base-content/70">CPU Utilization</h3>
<div class="text-xs text-base-content/60 mt-0.5 animate-pulse"><span data-stats="pcpu.usage"></span> / <span data-stats="pcpu.total"></span> CPU</div>
</div>
<div class="text-xl font-bold text-primary animate-pulse" data-stats="pcpu.used_percentage">—%</div>
</div>
<div class="space-y-2">
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Used</span>
<span class="font-medium animate-pulse" data-stats="pcpu.usage_val"></span>
</div>
<progress class="progress progress-primary w-full animate-pulse" data-stats="pcpu.progress" value="0" max="100"></progress>
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Free</span>
<span class="font-medium animate-pulse" data-stats="pcpu.free"></span>
</div>
</div>
{% else %}
<div class="flex items-center justify-between mb-3">
<div>
<h3 class="text-sm font-medium text-base-content/70">CPU Utilization</h3>
<div class="text-xs text-base-content/60 mt-0.5">{{ pcpu.usage|floatformat:1 }} / {{ pcpu.total }} CPU</div>
</div>
<div class="text-xl font-bold text-primary">{{ pcpu.used_percentage|floatformat:1 }}%</div>
</div>
<div class="space-y-2">
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Used</span>
<span class="font-medium">{{ pcpu.usage|floatformat:1 }} CPU</span>
</div>
<progress class="progress progress-primary w-full" value="{{ pcpu.used_percentage }}" max="100"></progress>
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Free</span>
<span class="font-medium">{{ pcpu.free }} CPU</span>
</div>
</div>
{% endif %}
</div>
</div>
<!-- RAM Utilization -->
<div class="card bg-base-100 shadow-sm hover:shadow transition-shadow" id="statsPramCard">
<div class="card-body p-5">
{% if skeleton %}
<div class="flex items-center justify-between mb-3">
<div>
<h3 class="text-sm font-medium text-base-content/70">RAM Utilization</h3>
<div class="text-xs text-base-content/60 mt-0.5 animate-pulse"><span data-stats="pram.usage_gb"></span> / <span data-stats="pram.total_gb"></span> GB</div>
</div>
<div class="text-xl font-bold text-secondary animate-pulse" data-stats="pram.used_percentage">—%</div>
</div>
<div class="space-y-2">
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Used</span>
<span class="font-medium animate-pulse" data-stats="pram.usage_gb_val"></span>
</div>
<progress class="progress progress-secondary w-full animate-pulse" data-stats="pram.progress" value="0" max="100"></progress>
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Free</span>
<span class="font-medium animate-pulse" data-stats="pram.free_gb"></span>
</div>
</div>
{% else %}
<div class="flex items-center justify-between mb-3">
<div>
<h3 class="text-sm font-medium text-base-content/70">RAM Utilization</h3>
<div class="text-xs text-base-content/60 mt-0.5">{{ pram.usage|convert_bytes }} / {{ pram.total|convert_bytes }} GB</div>
</div>
<div class="text-xl font-bold text-secondary">{{ pram.used_percentage|floatformat:1 }}%</div>
</div>
<div class="space-y-2">
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Used</span>
<span class="font-medium">{{ pram.usage|convert_bytes }} GB</span>
</div>
<progress class="progress progress-secondary w-full" value="{{ pram.used_percentage }}" max="100"></progress>
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Free</span>
<span class="font-medium">{{ pram.free|convert_bytes }} GB</span>
</div>
</div>
{% endif %}
</div>
</div>
<!-- Instance Summary -->
<div class="card bg-base-100 shadow-sm hover:shadow transition-shadow" id="statsVmCard">
<div class="card-body p-5">
{% if skeleton %}
<div class="flex items-center justify-between mb-3">
<div>
<h3 class="text-sm font-medium text-base-content/70">Instances</h3>
<div class="text-xs text-base-content/60 mt-0.5 animate-pulse"><span data-stats="vm.active"></span> active / <span data-stats="vm.stopped"></span> stopped</div>
</div>
<div class="text-xl font-bold text-accent animate-pulse" data-stats="vm.count"></div>
</div>
<div class="space-y-3">
<div class="flex justify-between items-center text-xs">
<div class="flex items-center gap-2">
<div class="w-2 h-2 rounded-full bg-success"></div>
<span>Most Used Flavor</span>
</div>
<span class="font-medium animate-pulse" data-stats="flavors.first_name"></span>
</div>
<div class="flex justify-between items-center text-xs">
<div class="flex items-center gap-2">
<div class="w-2 h-2 rounded-full bg-info"></div>
<span>Avg. vCPU/VM</span>
</div>
<span class="font-medium animate-pulse" data-stats="vm.avg_cpu"></span>
</div>
<div class="flex justify-between items-center text-xs">
<div class="flex items-center gap-2">
<div class="w-2 h-2 rounded-full bg-warning"></div>
<span>Density</span>
</div>
<span class="font-medium animate-pulse" data-stats="vm.density"></span>
</div>
</div>
{% else %}
<div class="flex items-center justify-between mb-3">
<div>
<h3 class="text-sm font-medium text-base-content/70">Instances</h3>
<div class="text-xs text-base-content/60 mt-0.5">{{ vm.active }} active / {{ vm.stopped }} stopped</div>
</div>
<div class="text-xl font-bold text-accent">{{ vm.count }}</div>
</div>
<div class="space-y-3">
<div class="flex justify-between items-center text-xs">
<div class="flex items-center gap-2">
<div class="w-2 h-2 rounded-full bg-success"></div>
<span>Most Used Flavor</span>
</div>
<span class="font-medium">{{ flavors.first_common_flavor.name }}</span>
</div>
<div class="flex justify-between items-center text-xs">
<div class="flex items-center gap-2">
<div class="w-2 h-2 rounded-full bg-info"></div>
<span>Avg. vCPU/VM</span>
</div>
<span class="font-medium">{{ vm.avg_cpu|floatformat:1 }}</span>
</div>
<div class="flex justify-between items-center text-xs">
<div class="flex items-center gap-2">
<div class="w-2 h-2 rounded-full bg-warning"></div>
<span>Density</span>
</div>
<span class="font-medium">{{ vm.density|floatformat:1 }}/host</span>
</div>
</div>
{% endif %}
</div>
</div>
</section>
<!-- DETAILED OVERVIEW -->
<section class="grid grid-cols-1 lg:grid-cols-2 gap-4" aria-label="Resource allocation and flavors">
<!-- Resource Allocation -->
<div class="card bg-base-100 shadow-sm border-t-gradient-vtb" id="statsAllocationCard">
<div class="card-body p-5">
<h2 class="text-lg font-semibold mb-4 flex items-center gap-2">
<svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M9 19v-6a2 2 0 00-2-2H5a2 2 0 00-2 2v6a2 2 0 002 2h2a2 2 0 002-2zm0 0V9a2 2 0 012-2h2a2 2 0 012 2v10m-6 0a2 2 0 002 2h2a2 2 0 002-2m0 0V5a2 2 0 012-2h2a2 2 0 012 2v14a2 2 0 01-2 2h-2a2 2 0 01-2-2z"/>
</svg>
Resource Allocation
</h2>
{% if skeleton %}
<div class="mb-4">
<div class="flex justify-between text-xs mb-1">
<span class="text-base-content/70">CPU Allocation</span>
<span class="font-medium animate-pulse" data-stats="vcpu.allocated_total">— / — vCPU</span>
</div>
<div class="flex items-center gap-2">
<progress class="progress progress-primary flex-1 animate-pulse" data-stats="vcpu.progress" value="0" max="100"></progress>
<span class="text-xs font-medium w-12 text-right animate-pulse" data-stats="vcpu.allocated_percentage">—%</span>
</div>
<div class="flex justify-between text-xs mt-1 animate-pulse" data-stats="vcpu.overcommit"></div>
</div>
<div>
<div class="flex justify-between text-xs mb-1">
<span class="text-base-content/70">RAM Allocation</span>
<span class="font-medium animate-pulse" data-stats="vram.allocated_total">— / — GB</span>
</div>
<div class="flex items-center gap-2">
<progress class="progress progress-secondary flex-1 animate-pulse" data-stats="vram.progress" value="0" max="100"></progress>
<span class="text-xs font-medium w-12 text-right animate-pulse" data-stats="vram.allocated_percentage">—%</span>
</div>
<div class="flex justify-between text-xs mt-1 animate-pulse" data-stats="vram.overcommit"></div>
</div>
{% else %}
<!-- CPU Allocation -->
<div class="mb-4">
<div class="flex justify-between text-xs mb-1">
<span class="text-base-content/70">CPU Allocation</span>
<span class="font-medium">{{ vcpu.allocated }} / {{ vcpu.total }} vCPU</span>
</div>
<div class="flex items-center gap-2">
<progress class="progress progress-primary flex-1" value="{{ vcpu.allocated_percentage }}" max="100"></progress>
<span class="text-xs font-medium w-12 text-right">{{ vcpu.allocated_percentage|floatformat:1 }}%</span>
</div>
<div class="flex justify-between text-xs mt-1">
<span class="text-base-content/60">overcommit: {{ vcpu.overcommit_ratio|floatformat:1 }} / {{ vcpu.overcommit_max|floatformat:1 }}</span>
<span class="text-base-content/60">{{ vcpu.allocated_percentage|floatformat:1 }}% allocated</span>
</div>
</div>
<!-- RAM Allocation -->
<div>
<div class="flex justify-between text-xs mb-1">
<span class="text-base-content/70">RAM Allocation</span>
<span class="font-medium">{{ vram.allocated|convert_bytes }} / {{ vram.total|convert_bytes }} GB</span>
</div>
<div class="flex items-center gap-2">
<progress class="progress progress-secondary flex-1" value="{{ vram.allocated_percentage }}" max="100"></progress>
<span class="text-xs font-medium w-12 text-right">{{ vram.allocated_percentage|floatformat:1 }}%</span>
</div>
<div class="flex justify-between text-xs mt-1">
<span class="text-base-content/60">overcommit: {{ vram.overcommit_ratio|floatformat:1 }} / {{ vram.overcommit_max|floatformat:1 }}</span>
<span class="text-base-content/60">{{ vram.allocated_percentage|floatformat:1 }}% allocated</span>
</div>
</div>
{% endif %}
</div>
</div>
<!-- Flavor Distribution -->
<div class="card bg-base-100 shadow-sm border-t-gradient-vtb" id="statsFlavorsCard">
<div class="card-body p-5">
<h2 class="text-lg font-semibold mb-4 flex items-center gap-2">
<svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M11 3.055A9.001 9.001 0 1020.945 13H11V3.055z"/>
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M20.488 9H15V3.512A9.025 9.025 0 0120.488 9z"/>
</svg>
Top Flavors
</h2>
{% if skeleton %}
<div class="space-y-3">
<div class="bg-base-200/50 rounded-lg p-3">
<div class="flex justify-between items-center mb-1">
<span class="text-sm font-medium animate-pulse" data-stats="flavors.first_name"></span>
<span class="text-xs badge badge-primary animate-pulse" data-stats="flavors.first_count">— instances</span>
</div>
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Share</span>
<span class="font-medium animate-pulse" data-stats="flavors.first_share">—%</span>
</div>
</div>
<div class="space-y-2">
<div class="flex justify-between items-center text-sm">
<div class="flex items-center gap-2">
<div class="w-1.5 h-1.5 rounded-full bg-base-content/30"></div>
<span class="animate-pulse" data-stats="flavors.second_name"></span>
</div>
<span class="text-xs badge badge-outline animate-pulse" data-stats="flavors.second_count"></span>
</div>
<div class="flex justify-between items-center text-sm">
<div class="flex items-center gap-2">
<div class="w-1.5 h-1.5 rounded-full bg-base-content/30"></div>
<span class="animate-pulse" data-stats="flavors.third_name"></span>
</div>
<span class="text-xs badge badge-outline animate-pulse" data-stats="flavors.third_count"></span>
</div>
</div>
</div>
{% else %}
<div class="space-y-3">
<!-- Most Common -->
<div class="bg-base-200/50 rounded-lg p-3">
<div class="flex justify-between items-center mb-1">
<span class="text-sm font-medium">{{ flavors.first_common_flavor.name }}</span>
<span class="text-xs badge badge-primary">{{ flavors.first_common_flavor.count }} instances</span>
</div>
<div class="flex justify-between text-xs">
<span class="text-base-content/60">Share</span>
<span class="font-medium">{{ flavors.first_common_flavor.count|div:vm.count|mul:100|floatformat:0 }}%</span>
</div>
</div>
<!-- Other Flavors -->
<div class="space-y-2">
{% if flavors.second_common_flavor %}
<div class="flex justify-between items-center text-sm">
<div class="flex items-center gap-2">
<div class="w-1.5 h-1.5 rounded-full bg-base-content/30"></div>
<span>{{ flavors.second_common_flavor.name }}</span>
</div>
<span class="text-xs badge badge-outline">{{ flavors.second_common_flavor.count }}</span>
</div>
{% endif %}
{% if flavors.third_common_flavor %}
<div class="flex justify-between items-center text-sm">
<div class="flex items-center gap-2">
<div class="w-1.5 h-1.5 rounded-full bg-base-content/30"></div>
<span>{{ flavors.third_common_flavor.name }}</span>
</div>
<span class="text-xs badge badge-outline">{{ flavors.third_common_flavor.count }}</span>
</div>
{% endif %}
</div>
</div>
{% endif %}
</div>
</div>
</section>
<!-- AUDIT CONTROL -->
<section aria-label="Audit analysis">
<div class="card bg-base-100 shadow-sm" id="auditSection">
<div class="card-body p-5">
<div class="flex flex-col sm:flex-row sm:items-center justify-between gap-3 mb-4">
<div>
<h2 class="text-lg font-semibold">Audit Analysis</h2>
<div class="text-base text-base-content/60 mt-0.5">Select an audit to analyze resource distribution</div>
</div>
<div class="flex items-center gap-2">
<span class="text-xs text-base-content/60" id="auditsCount">{% if skeleton %}Loading…{% else %}{{ audits|length }} available{% endif %}</span>
<div class="dropdown dropdown-end no-print">
<label tabindex="0" class="btn btn-xs btn-ghost">
<svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13 16h-1v-4h-1m1-4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z"/>
</svg>
Info
</label>
<div tabindex="0" class="dropdown-content z-[1] card card-compact w-64 p-2 shadow bg-base-100">
<div class="card-body">
<div class="text-xs space-y-1">
<div class="flex justify-between">
<span class="text-base-content/60">Strategy:</span>
<span id="previewStrategy">Balanced</span>
</div>
<div class="flex justify-between">
<span class="text-base-content/60">Scope:</span>
<span id="previewScope">Full Cluster</span>
</div>
<div class="flex justify-between">
<span class="text-base-content/60">CPU Weight:</span>
<span id="previewCpu">1.0</span>
</div>
<div class="flex justify-between">
<span class="text-base-content/60">RAM Weight:</span>
<span id="previewRam">1.0</span>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="flex flex-col md:flex-row gap-3">
<select id="auditSelector" class="select select-bordered select-sm flex-1" {% if skeleton %}disabled{% endif %}>
{% if skeleton %}
<option value="">Loading…</option>
{% else %}
{% for audit in audits %}
<option value="{{ audit.id }}"
data-cpu="{{ audit.cpu_weight }}"
data-ram="{{ audit.ram_weight }}"
data-scope="{{ audit.scope }}"
data-strategy="{{ audit.strategy }}"
data-goal="{{ audit.goal }}">
{{ audit.name }} ({{ audit.created_at|date:"M d" }})
</option>
{% endfor %}
{% endif %}
</select>
<button type="button" onclick="loadSelectedAudit()" class="btn btn-primary btn-sm gap-2 no-print">
<svg class="w-4 h-4 shrink-0" fill="none" stroke="currentColor" viewBox="0 0 24 24" aria-hidden="true">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13 7l5 5m0 0l-5 5m5-5H6"/>
</svg>
Load Analysis
</button>
</div>
</div>
</div>
</section>
<!-- ANALYSIS VISUALIZATION -->
<section aria-label="CPU distribution chart">
<div class="card bg-base-100 shadow-sm">
<div class="card-body p-5">
<h3 class="text-lg font-semibold mb-4">CPU Distribution (Current vs Projected)</h3>
<div class="h-48">
<canvas id="cpuDistributionChart"></canvas>
</div>
<div class="flex items-center justify-center gap-3 mt-3">
<div class="flex items-center gap-1 text-xs">
<div class="w-3 h-0.5 bg-success"></div>
<span class="text-success">Mean: <span id="currentCpuMean">0</span>%</span>
</div>
<div class="flex items-center gap-1 text-xs">
<div class="w-3 h-0.5 bg-error/60"></div>
<span class="text-error/60">±0.5σ: <span id="currentCpuStd">0</span>%</span>
</div>
</div>
</div>
</div>
</section>
<!-- MIGRATION ACTIONS -->
<section aria-label="Migration actions">
<div class="card bg-base-100 shadow-sm">
<div class="card-body p-6">
<div class="flex items-center justify-between mb-4">
<h3 class="text-lg font-semibold">Migration Actions</h3>
<div class="badge badge-neutral badge-sm" id="migrationCount">Select audit</div>
</div>
<div class="overflow-x-auto">
<table class="table table-zebra table-sm">
<thead>
<tr class="bg-base-200">
<th class="text-xs font-medium">Instance</th>
<th class="text-xs font-medium">Source → Destination</th>
<th class="text-xs font-medium">Flavor</th>
<th class="text-xs font-medium">Impact</th>
</tr>
</thead>
<tbody id="migrationTableBody" class="text-sm">
<tr>
<td colspan="4" class="text-center py-6 text-base-content/60">
No audit selected. Load an audit to view migration recommendations.
</td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
</section>
{% include "dashboard/_stats_cards.html" %}
{% include "dashboard/_allocation_flavors.html" %}
{% include "dashboard/_audit_section.html" %}
{% include "dashboard/_chart_migrations.html" %}
</div>
{% endblock %}
@@ -457,7 +23,7 @@
const SKELETON_MODE = {{ skeleton|yesno:"true,false" }};
const CURRENT_CLUSTER = {% if current_cluster %}{ "host_labels": {{ current_cluster.host_labels|safe }}, "cpu_current": {{ current_cluster.cpu_current|safe }} }{% else %}null{% endif %};
let auditData = {
window.auditData = {
{% if not skeleton %}
{% for audit in audits %}
"{{ audit.id }}": {
@@ -472,430 +38,9 @@
{% endfor %}
{% endif %}
};
document.getElementById('auditSelector').addEventListener('change', function(e) {
const option = this.options[this.selectedIndex];
if (!option) return;
document.getElementById('previewCpu').textContent = option.dataset.cpu || '1.0';
document.getElementById('previewRam').textContent = option.dataset.ram || '1.0';
document.getElementById('previewScope').textContent = option.dataset.scope || 'Full Cluster';
document.getElementById('previewStrategy').textContent = option.dataset.strategy || 'Balanced';
});
let cpuDistributionChart = null;
function setStat(key, text) {
document.querySelectorAll('[data-stats="' + key + '"]').forEach(function(el) {
el.textContent = text;
el.classList.remove('animate-pulse');
});
}
function setProgress(key, value) {
document.querySelectorAll('[data-stats="' + key + '"]').forEach(function(el) {
if (el.tagName === 'PROGRESS') {
el.value = value;
el.classList.remove('animate-pulse');
}
});
}
function renderStats(data) {
if (!data) return;
var el = function(k) { return document.querySelector('[data-stats="' + k + '"]'); };
var regionBadge = document.getElementById('regionBadge');
if (regionBadge) regionBadge.textContent = data.region && data.region.name ? data.region.name : '—';
setStat('pcpu.usage', Number((data.pcpu && data.pcpu.usage) || 0).toFixed(1));
setStat('pcpu.total', String((data.pcpu && data.pcpu.total) || 0));
setStat('pcpu.used_percentage', Number((data.pcpu && data.pcpu.used_percentage) || 0).toFixed(1) + '%');
setStat('pcpu.usage_val', Number((data.pcpu && data.pcpu.usage) || 0).toFixed(1) + ' CPU');
setProgress('pcpu.progress', (data.pcpu && data.pcpu.used_percentage) || 0);
setStat('pcpu.free', String((data.pcpu && data.pcpu.free) || 0));
var pramUsageGb = formatBytes(data.pram && data.pram.usage, 'GB');
var pramTotalGb = formatBytes(data.pram && data.pram.total, 'GB');
var pramFreeGb = formatBytes(data.pram && data.pram.free, 'GB');
setStat('pram.usage_gb', pramUsageGb);
setStat('pram.total_gb', pramTotalGb);
setStat('pram.used_percentage', Number((data.pram && data.pram.used_percentage) || 0).toFixed(1) + '%');
setStat('pram.usage_gb_val', pramUsageGb + ' GB');
setProgress('pram.progress', (data.pram && data.pram.used_percentage) || 0);
setStat('pram.free_gb', pramFreeGb + ' GB');
setStat('vm.active', String(data.vm && data.vm.active));
setStat('vm.stopped', String(data.vm && data.vm.stopped));
setStat('vm.count', String(data.vm && data.vm.count));
setStat('flavors.first_name', data.flavors && data.flavors.first_common_flavor ? data.flavors.first_common_flavor.name : '—');
setStat('vm.avg_cpu', Number((data.vm && data.vm.avg_cpu) || 0).toFixed(1));
setStat('vm.density', Number((data.vm && data.vm.density) || 0).toFixed(1) + '/host');
setStat('vcpu.allocated_total', ((data.vcpu && data.vcpu.allocated) || 0) + ' / ' + ((data.vcpu && data.vcpu.total) || 0) + ' vCPU');
setProgress('vcpu.progress', (data.vcpu && data.vcpu.allocated_percentage) || 0);
setStat('vcpu.allocated_percentage', Number((data.vcpu && data.vcpu.allocated_percentage) || 0).toFixed(1) + '%');
var vcpuOver = el('vcpu.overcommit');
if (vcpuOver) {
vcpuOver.textContent = 'overcommit: ' + Number((data.vcpu && data.vcpu.overcommit_ratio) || 0).toFixed(1) + ' / ' + Number((data.vcpu && data.vcpu.overcommit_max) || 0).toFixed(1) + ' — ' + Number((data.vcpu && data.vcpu.allocated_percentage) || 0).toFixed(1) + '% allocated';
vcpuOver.classList.remove('animate-pulse');
}
var vramAllocGb = formatBytes(data.vram && data.vram.allocated, 'GB');
var vramTotalGb = formatBytes(data.vram && data.vram.total, 'GB');
setStat('vram.allocated_total', vramAllocGb + ' / ' + vramTotalGb + ' GB');
setProgress('vram.progress', (data.vram && data.vram.allocated_percentage) || 0);
setStat('vram.allocated_percentage', Number((data.vram && data.vram.allocated_percentage) || 0).toFixed(1) + '%');
var vramOver = el('vram.overcommit');
if (vramOver) {
vramOver.textContent = 'overcommit: ' + Number((data.vram && data.vram.overcommit_ratio) || 0).toFixed(1) + ' / ' + Number((data.vram && data.vram.overcommit_max) || 0).toFixed(1) + ' — ' + Number((data.vram && data.vram.allocated_percentage) || 0).toFixed(1) + '% allocated';
vramOver.classList.remove('animate-pulse');
}
setStat('flavors.first_count', (data.flavors && data.flavors.first_common_flavor ? data.flavors.first_common_flavor.count : 0) + ' instances');
var vmCount = data.vm && data.vm.count ? data.vm.count : 0;
var firstCount = data.flavors && data.flavors.first_common_flavor ? data.flavors.first_common_flavor.count : 0;
setStat('flavors.first_share', (vmCount ? Math.round(firstCount / vmCount * 100) : 0) + '%');
setStat('flavors.second_name', data.flavors && data.flavors.second_common_flavor ? data.flavors.second_common_flavor.name : '—');
setStat('flavors.second_count', data.flavors && data.flavors.second_common_flavor ? String(data.flavors.second_common_flavor.count) : '—');
setStat('flavors.third_name', data.flavors && data.flavors.third_common_flavor ? data.flavors.third_common_flavor.name : '—');
setStat('flavors.third_count', data.flavors && data.flavors.third_common_flavor ? String(data.flavors.third_common_flavor.count) : '—');
document.querySelectorAll('[data-stats]').forEach(function(n) { n.classList.remove('animate-pulse'); });
}
function renderAudits(auditsList) {
if (!auditsList || !auditsList.length) {
var countEl = document.getElementById('auditsCount');
if (countEl) countEl.textContent = '0 available';
var sel = document.getElementById('auditSelector');
if (sel) { sel.disabled = false; sel.innerHTML = '<option value="">No audits</option>'; }
return;
}
auditData = {};
auditsList.forEach(function(a) {
auditData[a.id] = {
name: a.name,
migrations: typeof a.migrations === 'string' ? JSON.parse(a.migrations) : a.migrations,
hostData: {
labels: typeof a.host_labels === 'string' ? JSON.parse(a.host_labels) : a.host_labels,
current: typeof a.cpu_current === 'string' ? JSON.parse(a.cpu_current) : a.cpu_current,
projected: typeof a.cpu_projected === 'string' ? JSON.parse(a.cpu_projected) : a.cpu_projected
}
};
});
var sel = document.getElementById('auditSelector');
if (sel) {
sel.disabled = false;
sel.innerHTML = '';
auditsList.forEach(function(audit) {
var opt = document.createElement('option');
opt.value = audit.id;
opt.setAttribute('data-cpu', audit.cpu_weight || '1.0');
opt.setAttribute('data-ram', audit.ram_weight || '1.0');
opt.setAttribute('data-scope', audit.scope || 'Full Cluster');
opt.setAttribute('data-strategy', audit.strategy || 'Balanced');
opt.setAttribute('data-goal', audit.goal || '');
var dateStr = audit.created_at ? new Date(audit.created_at).toLocaleDateString('en-US', { month: 'short', day: 'numeric' }) : '';
opt.textContent = audit.name + ' (' + dateStr + ')';
sel.appendChild(opt);
});
}
var countEl = document.getElementById('auditsCount');
if (countEl) countEl.textContent = auditsList.length + ' available';
if (auditsList.length > 0) {
document.getElementById('auditSelector').dispatchEvent(new Event('change'));
loadSelectedAudit();
}
}
// Load selected audit
function loadSelectedAudit() {
const auditId = document.getElementById('auditSelector').value;
updateMigrationTable(auditId);
updateCPUCharts(auditId);
}
// Update migration table
function updateMigrationTable(auditId) {
const tbody = document.getElementById('migrationTableBody');
const migrationCount = document.getElementById('migrationCount');
const data = auditData[auditId];
if (!data || !data.migrations || data.migrations.length === 0) {
tbody.innerHTML = `
<tr>
<td colspan="4" class="text-center py-6 text-base-content/60">
No migration actions recommended
</td>
</tr>
`;
migrationCount.textContent = '0 actions';
return;
}
let html = '';
data.migrations.forEach(migration => {
const impact = migration.impact || 'Low';
const impactClass = {
'Low': 'badge-success',
'Medium': 'badge-warning',
'High': 'badge-error'
}[impact] || 'badge-neutral';
html += `
<tr>
<td class="font-medium">
<div>${migration.instanceName}</div>
</td>
<td>
<div class="flex items-center gap-2">
<span class="badge badge-outline badge-xs">${migration.source}</span>
<svg class="w-3 h-3 text-base-content/30" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13 7l5 5m0 0l-5 5m5-5H6"/>
</svg>
<span class="badge badge-primary badge-outline badge-xs">${migration.destination}</span>
</div>
</td>
<td>
<code class="text-xs bg-base-200 px-2 py-1 rounded">${migration.flavor}</code>
</td>
<td>
<span class="badge ${impactClass} badge-xs">${impact}</span>
</td>
</tr>
`;
});
tbody.innerHTML = html;
migrationCount.textContent = `${data.migrations.length} action${data.migrations.length !== 1 ? 's' : ''}`;
}
// Update CPU chart (combined current vs projected)
function updateCPUCharts(auditId) {
const data = auditData[auditId];
if (!data || !data.hostData) return;
const ctx = document.getElementById('cpuDistributionChart').getContext('2d');
const currentStats = calculateStats(data.hostData.current);
document.getElementById('currentCpuMean').textContent = currentStats.mean.toFixed(1);
document.getElementById('currentCpuStd').textContent = (currentStats.std * 0.5).toFixed(1);
if (cpuDistributionChart) cpuDistributionChart.destroy();
const colors = {
primary: getCSSVar('--color-primary'),
secondary: getCSSVar('--color-secondary'),
accent: getCSSVar('--color-accent'),
neutral: getCSSVar('--color-neutral'),
info: getCSSVar('--color-info'),
success: getCSSVar('--color-success'),
warning: getCSSVar('--color-warning'),
error: getCSSVar('--color-error')
};
const textColor = getCSSVar('--color-base-content');
const gridColor = getCSSVar('--chart-grid-color') || textColor;
cpuDistributionChart = new Chart(ctx, {
type: 'bar',
data: {
labels: data.hostData.labels,
datasets: [
{
label: 'Current',
data: data.hostData.current.slice(),
backgroundColor: colors.info + '40',
borderColor: colors.info,
borderWidth: 1,
borderRadius: 3
},
{
label: 'Projected',
data: data.hostData.projected.slice(),
backgroundColor: colors.warning + '40',
borderColor: colors.warning,
borderWidth: 1,
borderRadius: 3
}
]
},
options: {
responsive: true,
maintainAspectRatio: false,
animation: {
onComplete: function() {
var chart = this;
if (typeof chart.getDatasetMeta !== 'function') chart = chart.chart;
if (!chart || chart._hidingDataset === undefined) return;
var i = chart._hidingDataset;
chart.getDatasetMeta(i).hidden = true;
chart.data.datasets[i].data = chart._cpuOriginalData[i].slice();
delete chart._hidingDataset;
chart.update('none');
}
},
plugins: {
legend: {
display: true,
position: 'top',
align: 'center',
onClick: function(e, legendItem, legend) {
const i = legendItem.datasetIndex;
const chart = legend.chart;
const len = chart.data.labels.length;
if (chart.isDatasetVisible(i)) {
chart._hidingDataset = i;
chart.data.datasets[i].data = Array(len).fill(0);
chart.update();
} else {
chart.data.datasets[i].data = Array(len).fill(0);
chart.show(i);
chart.update('none');
chart.data.datasets[i].data = chart._cpuOriginalData[i].slice();
chart.update();
}
},
labels: {
usePointStyle: true,
pointStyle: 'rect',
boxWidth: 14,
boxHeight: 14,
padding: 12,
color: textColor,
generateLabels: function(chart) {
const datasets = chart.data.datasets;
const labelColor = getCSSVar('--color-base-content');
return datasets.map(function(ds, i) {
return {
text: ds.label,
fillStyle: ds.borderColor,
strokeStyle: ds.borderColor,
lineWidth: 1,
fontColor: labelColor,
color: labelColor,
hidden: !chart.isDatasetVisible(i),
datasetIndex: i
};
});
}
}
},
tooltip: {
callbacks: {
label: (ctx) => `${ctx.dataset.label}: ${Number(ctx.parsed.y).toFixed(2)}% CPU`
}
},
annotation: {
annotations: {
MeanLine: {
type: 'line',
yMin: currentStats.mean.toFixed(1),
yMax: currentStats.mean.toFixed(1),
borderColor: colors.success,
borderWidth: 2,
borderDash: []
},
upperStdLine: {
type: 'line',
yMin: (currentStats.mean + currentStats.std * 0.5).toFixed(1),
yMax: (currentStats.mean + currentStats.std * 0.5).toFixed(1),
borderColor: colors.error,
borderWidth: 1,
borderDash: [5, 5]
},
lowerStdLine: {
type: 'line',
yMin: currentStats.mean > currentStats.std * 0.5 ? (currentStats.mean - currentStats.std * 0.5).toFixed(1) : 0,
yMax: currentStats.mean > currentStats.std * 0.5 ? (currentStats.mean - currentStats.std * 0.5).toFixed(1) : 0,
borderColor: colors.error,
borderWidth: 1,
borderDash: [5, 5]
}
}
}
},
scales: {
y: {
beginAtZero: true,
max: 100,
grid: { drawBorder: false, color: gridColor },
ticks: {
color: textColor,
callback: value => value + '%'
}
},
x: {
grid: { display: false },
ticks: {
display: false
},
barPercentage: 1,
categoryPercentage: 0.85
}
}
}
});
cpuDistributionChart._cpuOriginalData = [
data.hostData.current.slice(),
data.hostData.projected.slice()
];
}
// Utility functions
function calculateStats(data) {
const mean = data.reduce((a, b) => a + b, 0) / data.length;
const variance = data.reduce((a, b) => a + Math.pow(b - mean, 2), 0) / data.length;
const std = Math.sqrt(variance);
return { mean, std };
}
document.addEventListener('DOMContentLoaded', function() {
if (SKELETON_MODE) {
Promise.all([
fetch('/api/stats/').then(function(r) { return r.ok ? r.json() : Promise.reject(r); }),
fetch('/api/audits/').then(function(r) { return r.ok ? r.json() : Promise.reject(r); })
]).then(function(results) {
renderStats(results[0]);
renderAudits(results[1].audits);
if (!results[1].audits || results[1].audits.length === 0) {
var cc = results[1].current_cluster;
if (cc && cc.host_labels && cc.cpu_current && cc.host_labels.length) {
auditData["current"] = {
hostData: {
labels: cc.host_labels,
current: cc.cpu_current,
projected: cc.cpu_current
}
};
updateCPUCharts('current');
}
}
}).catch(function(err) {
var msg = err.status ? 'Failed to load data (' + err.status + ')' : 'Failed to load data';
var countEl = document.getElementById('auditsCount');
if (countEl) countEl.textContent = msg;
fetch('/api/stats/').then(function(r) { return r.ok ? r.json() : null; }).then(function(d) { if (d) renderStats(d); });
fetch('/api/audits/').then(function(r) { return r.ok ? r.json() : null; }).then(function(d) { if (d && d.audits) renderAudits(d.audits); });
});
} else {
var initialAudit = "{% if audits %}{{ audits.0.id }}{% endif %}";
if (initialAudit && auditData[initialAudit]) {
document.getElementById('auditSelector').dispatchEvent(new Event('change'));
loadSelectedAudit();
} else if (!initialAudit && CURRENT_CLUSTER && CURRENT_CLUSTER.host_labels && CURRENT_CLUSTER.host_labels.length) {
auditData["current"] = {
hostData: {
labels: CURRENT_CLUSTER.host_labels,
current: CURRENT_CLUSTER.cpu_current,
projected: CURRENT_CLUSTER.cpu_current
}
};
updateCPUCharts('current');
}
}
});
document.addEventListener('themechange', function() {
if (cpuDistributionChart) {
const auditId = document.getElementById('auditSelector').value;
cpuDistributionChart.destroy();
cpuDistributionChart = null;
if (auditId) updateCPUCharts(auditId);
}
});
var INITIAL_AUDIT_ID = "{% if audits %}{{ audits.0.id }}{% endif %}";
</script>
<script src="{% static 'js/dashboard.js' %}"></script>
{% endblock %}
{% block css %}

View File

@@ -48,7 +48,7 @@ INSTALLED_APPS = [
PROMETHEUS_URL = "http://10.226.74.53:9090/"
PROMETHEUS_METRICS = {
"cpu_usage": "rate(libvirt_domain_info_cpu_time_seconds_total)[300s]",
"ram_usage": "avg_over_time(libvirt_domain_info_memory_usage_bytes[300s]",
"ram_usage": "avg_over_time(libvirt_domain_info_memory_usage_bytes[300s])",
}
# Openstack cloud settings