Refactor Dockerfile for improved build process, add CMD for running server, and update requirements.txt for consistency. Adjust URL patterns in dashboard and enhance base template with theme toggle functionality and print support.

This commit is contained in:
2026-02-07 10:23:23 +03:00
parent 48c9e4ddeb
commit 51b02eb6a4
5 changed files with 402 additions and 402 deletions

View File

@@ -1,37 +1,37 @@
FROM alpine:3 AS build
RUN apk update && \
apk add --no-cache --virtual .build-deps \
ca-certificates gcc postgresql-dev linux-headers musl-dev \
libffi-dev jpeg-dev zlib-dev \
git bash build-base python3-dev \
dos2unix
RUN python3 -m venv /venv
ENV PATH "/venv/bin:$PATH"
COPY ./requirements.txt /
RUN pip install -r /requirements.txt
COPY ./docker-entrypoint.sh /docker-entrypoint.sh
RUN dos2unix /docker-entrypoint.sh && \
chmod +x /docker-entrypoint.sh
FROM alpine:3
ENV LANG C.UTF-8
ENV LC_ALL C.UTF-8
ENV PYTHONUNBUFFERED 1
ENV PATH "/venv/bin:$PATH"
RUN apk add --no-cache --update python3 curl
COPY --from=build /venv /venv
COPY --from=build /docker-entrypoint.sh /docker-entrypoint.sh
WORKDIR /app
COPY . /app
ENTRYPOINT ["/docker-entrypoint.sh"]
FROM alpine:3 AS build
RUN apk update && \
apk add --no-cache --virtual .build-deps \
ca-certificates gcc postgresql-dev linux-headers musl-dev \
libffi-dev jpeg-dev zlib-dev \
git bash build-base python3-dev \
dos2unix
RUN python3 -m venv /venv
ENV PATH "/venv/bin:$PATH"
COPY ./requirements.txt /
RUN pip install -r /requirements.txt
COPY ./docker-entrypoint.sh /docker-entrypoint.sh
RUN dos2unix /docker-entrypoint.sh && \
chmod +x /docker-entrypoint.sh
FROM alpine:3
ENV LANG C.UTF-8
ENV LC_ALL C.UTF-8
ENV PYTHONUNBUFFERED 1
ENV PATH "/venv/bin:$PATH"
RUN apk add --no-cache --update python3 curl
COPY --from=build /venv /venv
COPY --from=build /docker-entrypoint.sh /docker-entrypoint.sh
WORKDIR /app
COPY . /app
ENTRYPOINT ["/docker-entrypoint.sh"]
CMD ["python3", "manage.py", "runserver", "0.0.0.0:8000"]

View File

@@ -1,8 +1,8 @@
from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='index'),
path('api/stats/', views.api_stats),
path('api/audits/', views.api_audits),
from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='index'),
path('api/stats/', views.api_stats),
path('api/audits/', views.api_audits),
]

View File

@@ -1,252 +1,252 @@
import json
from concurrent.futures import ThreadPoolExecutor, as_completed
from django.conf import settings
from django.core.cache import cache
from django.http import JsonResponse
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
from dashboard.openstack_utils.audits import get_audits
from dashboard.mock_data import get_mock_context
# 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'})",
}
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 collect_context():
connection = get_connection()
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,
}
# 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"])
audit["cpu_current"] = json.dumps(audit["cpu_current"])
audit["cpu_projected"] = json.dumps(audit["cpu_projected"])
return context
def collect_stats():
"""Build stats dict: region, pcpu, pram, vcpu, vram, vm, flavors (no audits)."""
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,
}
def collect_audits():
"""Build audits list with serialized fields for frontend."""
connection = get_connection()
audits = get_audits(connection=connection)
for audit in 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"])
return 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": [],
}
def index(request):
if getattr(settings, "USE_MOCK_DATA", False):
context = get_mock_context()
return render(request, "index.html", context)
context = _skeleton_context()
return render(request, "index.html", context)
def api_stats(request):
cache_key = "dashboard_stats"
cache_ttl = getattr(settings, "DASHBOARD_CACHE_TTL", 120)
data = cache.get(cache_key)
if data is None:
data = collect_stats()
cache.set(cache_key, data, timeout=cache_ttl)
return JsonResponse(data)
def api_audits(request):
cache_key = "dashboard_audits"
cache_ttl = getattr(settings, "DASHBOARD_CACHE_TTL", 120)
audits = cache.get(cache_key)
if audits is None:
audits = collect_audits()
cache.set(cache_key, audits, timeout=cache_ttl)
import json
from concurrent.futures import ThreadPoolExecutor, as_completed
from django.conf import settings
from django.core.cache import cache
from django.http import JsonResponse
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
from dashboard.openstack_utils.audits import get_audits
from dashboard.mock_data import get_mock_context
# 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'})",
}
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 collect_context():
connection = get_connection()
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,
}
# 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"])
audit["cpu_current"] = json.dumps(audit["cpu_current"])
audit["cpu_projected"] = json.dumps(audit["cpu_projected"])
return context
def collect_stats():
"""Build stats dict: region, pcpu, pram, vcpu, vram, vm, flavors (no audits)."""
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,
}
def collect_audits():
"""Build audits list with serialized fields for frontend."""
connection = get_connection()
audits = get_audits(connection=connection)
for audit in 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"])
return 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": [],
}
def index(request):
if getattr(settings, "USE_MOCK_DATA", False):
context = get_mock_context()
return render(request, "index.html", context)
context = _skeleton_context()
return render(request, "index.html", context)
def api_stats(request):
cache_key = "dashboard_stats"
cache_ttl = getattr(settings, "DASHBOARD_CACHE_TTL", 120)
data = cache.get(cache_key)
if data is None:
data = collect_stats()
cache.set(cache_key, data, timeout=cache_ttl)
return JsonResponse(data)
def api_audits(request):
cache_key = "dashboard_audits"
cache_ttl = getattr(settings, "DASHBOARD_CACHE_TTL", 120)
audits = cache.get(cache_key)
if audits is None:
audits = collect_audits()
cache.set(cache_key, audits, timeout=cache_ttl)
return JsonResponse({"audits": audits})

View File

@@ -1,33 +1,33 @@
asgiref==3.11.0
certifi==2025.11.12
cffi==2.0.0
charset-normalizer==3.4.4
cryptography==46.0.3
decorator==5.2.1
Django==5.2.8
dogpile.cache==1.5.0
idna==3.11
iso8601==2.1.0
jmespath==1.0.1
jsonpatch==1.33
jsonpointer==3.0.0
keystoneauth1==5.12.0
numpy==2.3.5
openstacksdk==4.8.0
os-service-types==1.8.2
pandas==2.3.3
pbr==7.0.3
platformdirs==4.5.0
psutil==7.1.3
pycparser==2.23
python-dateutil==2.9.0.post0
pytz==2025.2
PyYAML==6.0.3
requests==2.32.5
requestsexceptions==1.4.0
six==1.17.0
sqlparse==0.5.4
stevedore==5.6.0
typing_extensions==4.15.0
tzdata==2025.2
urllib3==2.5.0
asgiref==3.11.0
certifi==2025.11.12
cffi==2.0.0
charset-normalizer==3.4.4
cryptography==46.0.3
decorator==5.2.1
Django==5.2.8
dogpile.cache==1.5.0
idna==3.11
iso8601==2.1.0
jmespath==1.0.1
jsonpatch==1.33
jsonpointer==3.0.0
keystoneauth1==5.12.0
numpy==2.3.5
openstacksdk==4.8.0
os-service-types==1.8.2
pandas==2.3.3
pbr==7.0.3
platformdirs==4.5.0
psutil==7.1.3
pycparser==2.23
python-dateutil==2.9.0.post0
pytz==2025.2
PyYAML==6.0.3
requests==2.32.5
requestsexceptions==1.4.0
six==1.17.0
sqlparse==0.5.4
stevedore==5.6.0
typing_extensions==4.15.0
tzdata==2025.2
urllib3==2.5.0

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@@ -1,76 +1,76 @@
{% load static %}
<!DOCTYPE html>
<html lang="en" data-theme="light">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>{% block title %}SWatcher{% endblock %}</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap" rel="stylesheet">
<link rel="stylesheet" href="{% static 'css/output.css' %}">
{% block imports %}
{% endblock %}
{% block css %}
{% endblock %}
</head>
<body>
<!-- Navbar -->
<div class="navbar bg-base-100 shadow-lg border-b border-base-200 sticky top-0 z-10">
<div class="navbar-start">
<a class="btn btn-ghost text-xl" href="{% url 'index' %}">SWatcher</a>
</div>
<div class="navbar-end">
<div class="px-1 flex items-center gap-3 pr-10">
<button type="button" class="btn btn-ghost btn-sm no-print" onclick="window.print()" title="Save as PDF" aria-label="Save as PDF">
<svg class="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24" aria-hidden="true">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M12 10v6m0 0l-3-3m3 3l3-3m2 8H7a2 2 0 01-2-2V5a2 2 0 012-2h5.586a1 1 0 01.707.293l5.414 5.414a1 1 0 01.293.707V19a2 2 0 01-2 2z"/>
</svg>
Save as PDF
</button>
<span id="regionBadge" class="badge badge-primary badge-lg">{{ region.name }}</span>
<label class="swap swap-rotate theme-toggle no-print">
<input type="checkbox" class="theme-controller" value="dark" />
<svg class="swap-off fill-current w-6 h-6" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24">
<path d="M5.64,17l-.71.71a1,1,0,0,0,0,1.41,1,1,0,0,0,1.41,0l.71-.71A1,1,0,0,0,5.64,17ZM5,12a1,1,0,0,0-1-1H3a1,1,0,0,0,0,2H4A1,1,0,0,0,5,12Zm7-7a1,1,0,0,0,1-1V3a1,1,0,0,0-2,0V4A1,1,0,0,0,12,5ZM5.64,7.05a1,1,0,0,0,.7.29,1,1,0,0,0,.71-.29,1,1,0,0,0,0-1.41l-.71-.71A1,1,0,0,0,4.93,6.34Zm12,.29a1,1,0,0,0,.7-.29l.71-.71a1,1,0,1,0-1.41-1.41L17,5.64a1,1,0,0,0,0,1.41A1,1,0,0,0,17.66,7.34ZM21,11H20a1,1,0,0,0,0,2h1a1,1,0,0,0,0-2Zm-9,8a1,1,0,0,0-1,1v1a1,1,0,0,0,2,0V20A1,1,0,0,0,12,19ZM18.36,17A1,1,0,0,0,17,18.36l.71.71a1,1,0,0,0,1.41,0,1,1,0,0,0,0-1.41ZM12,6.5A5.5,5.5,0,1,0,17.5,12,5.51,5.51,0,0,0,12,6.5Zm0,9A3.5,3.5,0,1,1,15.5,12,3.5,3.5,0,0,1,12,15.5Z"/>
</svg>
<svg class="swap-on fill-current w-6 h-6" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24">
<path d="M21.64,13a1,1,0,0,0-1.05-.14,8.05,8.05,0,0,1-3.37.73A8.15,8.15,0,0,1,9.08,5.49a8.59,8.59,0,0,1,.25-2A1,1,0,0,0,8,2.36,10.14,10.14,0,1,0,22,14.05,1,1,0,0,0,21.64,13Zm-9.5,6.69A8.14,8.14,0,0,1,7.08,5.22v.27A10.15,10.15,0,0,0,17.22,15.63a9.79,9.79,0,0,0,2.1-.22A8.11,8.11,0,0,1,12.14,19.73Z"/>
</svg>
</label>
</div>
</div>
</div>
<!-- Main Content -->
<main class="container mx-auto px-4 py-8 min-h-screen">
<p class="print-only text-lg font-semibold mb-4">Dashboard report</p>
{% block content %}
{% endblock %}
</main>
<script>
// Function to apply theme
function applyTheme(theme) {
document.documentElement.setAttribute('data-theme', theme);
const checkbox = document.querySelector('.theme-controller');
checkbox.checked = (theme === 'dark');
document.dispatchEvent(new Event("themechange"));
}
// Load saved theme from localStorage
const savedTheme = localStorage.getItem('theme') || 'light';
applyTheme(savedTheme);
// Listen for toggle changes
document.querySelector('.theme-controller').addEventListener('change', function() {
const newTheme = this.checked ? 'dark' : 'light';
applyTheme(newTheme);
localStorage.setItem('theme', newTheme);
});
</script>
{% block script %}
{% endblock %}
</body>
{% load static %}
<!DOCTYPE html>
<html lang="en" data-theme="light">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>{% block title %}SWatcher{% endblock %}</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap" rel="stylesheet">
<link rel="stylesheet" href="{% static 'css/output.css' %}">
{% block imports %}
{% endblock %}
{% block css %}
{% endblock %}
</head>
<body>
<!-- Navbar -->
<div class="navbar bg-base-100 shadow-lg border-b border-base-200 sticky top-0 z-10">
<div class="navbar-start">
<a class="btn btn-ghost text-xl" href="{% url 'index' %}">SWatcher</a>
</div>
<div class="navbar-end">
<div class="px-1 flex items-center gap-3 pr-10">
<button type="button" class="btn btn-ghost btn-sm no-print" onclick="window.print()" title="Save as PDF" aria-label="Save as PDF">
<svg class="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24" aria-hidden="true">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M12 10v6m0 0l-3-3m3 3l3-3m2 8H7a2 2 0 01-2-2V5a2 2 0 012-2h5.586a1 1 0 01.707.293l5.414 5.414a1 1 0 01.293.707V19a2 2 0 01-2 2z"/>
</svg>
Save as PDF
</button>
<span id="regionBadge" class="badge badge-primary badge-lg">{{ region.name }}</span>
<label class="swap swap-rotate theme-toggle no-print">
<input type="checkbox" class="theme-controller" value="dark" />
<svg class="swap-off fill-current w-6 h-6" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24">
<path d="M5.64,17l-.71.71a1,1,0,0,0,0,1.41,1,1,0,0,0,1.41,0l.71-.71A1,1,0,0,0,5.64,17ZM5,12a1,1,0,0,0-1-1H3a1,1,0,0,0,0,2H4A1,1,0,0,0,5,12Zm7-7a1,1,0,0,0,1-1V3a1,1,0,0,0-2,0V4A1,1,0,0,0,12,5ZM5.64,7.05a1,1,0,0,0,.7.29,1,1,0,0,0,.71-.29,1,1,0,0,0,0-1.41l-.71-.71A1,1,0,0,0,4.93,6.34Zm12,.29a1,1,0,0,0,.7-.29l.71-.71a1,1,0,1,0-1.41-1.41L17,5.64a1,1,0,0,0,0,1.41A1,1,0,0,0,17.66,7.34ZM21,11H20a1,1,0,0,0,0,2h1a1,1,0,0,0,0-2Zm-9,8a1,1,0,0,0-1,1v1a1,1,0,0,0,2,0V20A1,1,0,0,0,12,19ZM18.36,17A1,1,0,0,0,17,18.36l.71.71a1,1,0,0,0,1.41,0,1,1,0,0,0,0-1.41ZM12,6.5A5.5,5.5,0,1,0,17.5,12,5.51,5.51,0,0,0,12,6.5Zm0,9A3.5,3.5,0,1,1,15.5,12,3.5,3.5,0,0,1,12,15.5Z"/>
</svg>
<svg class="swap-on fill-current w-6 h-6" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24">
<path d="M21.64,13a1,1,0,0,0-1.05-.14,8.05,8.05,0,0,1-3.37.73A8.15,8.15,0,0,1,9.08,5.49a8.59,8.59,0,0,1,.25-2A1,1,0,0,0,8,2.36,10.14,10.14,0,1,0,22,14.05,1,1,0,0,0,21.64,13Zm-9.5,6.69A8.14,8.14,0,0,1,7.08,5.22v.27A10.15,10.15,0,0,0,17.22,15.63a9.79,9.79,0,0,0,2.1-.22A8.11,8.11,0,0,1,12.14,19.73Z"/>
</svg>
</label>
</div>
</div>
</div>
<!-- Main Content -->
<main class="container mx-auto px-4 py-8 min-h-screen">
<p class="print-only text-lg font-semibold mb-4">Dashboard report</p>
{% block content %}
{% endblock %}
</main>
<script>
// Function to apply theme
function applyTheme(theme) {
document.documentElement.setAttribute('data-theme', theme);
const checkbox = document.querySelector('.theme-controller');
checkbox.checked = (theme === 'dark');
document.dispatchEvent(new Event("themechange"));
}
// Load saved theme from localStorage
const savedTheme = localStorage.getItem('theme') || 'light';
applyTheme(savedTheme);
// Listen for toggle changes
document.querySelector('.theme-controller').addEventListener('change', function() {
const newTheme = this.checked ? 'dark' : 'light';
applyTheme(newTheme);
localStorage.setItem('theme', newTheme);
});
</script>
{% block script %}
{% endblock %}
</body>
</html>