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80 lines
2.8 KiB
Python
80 lines
2.8 KiB
Python
from django.shortcuts import render
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from django.contrib.auth.decorators import login_required
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from psutil import cpu_percent, virtual_memory, net_io_counters
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from apps.channels.models import Stream
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from django.http import JsonResponse # ADD THIS LINE
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@login_required
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def dashboard_view(request):
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# Fetch system metrics
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try:
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cpu_usage = cpu_percent(interval=1)
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ram = virtual_memory()
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ram_usage = f"{ram.used / (1024 ** 3):.1f} GB / {ram.total / (1024 ** 3):.1f} GB"
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network = net_io_counters()
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network_traffic = f"{network.bytes_sent / (1024 ** 2):.1f} MB"
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except Exception as e:
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cpu_usage = "N/A"
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ram_usage = "N/A"
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network_traffic = "N/A"
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print(f"Error fetching system metrics: {e}")
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# Fetch active streams and related channels
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active_streams = Stream.objects.filter(current_viewers__gt=0).prefetch_related('channels')
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active_streams_list = [
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f"Stream {i + 1}: {stream.url or 'Unknown'} ({stream.current_viewers} viewers)"
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for i, stream in enumerate(active_streams)
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]
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# Pass data to the template
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context = {
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"cpu_usage": f"{cpu_usage}%",
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"ram_usage": ram_usage,
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"current_streams": active_streams.count(),
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"network_traffic": network_traffic,
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"active_streams": active_streams_list,
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}
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return render(request, "dashboard/dashboard.html", context)
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@login_required
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def settings_view(request):
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# Placeholder for settings functionality
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return render(request, 'settings.html')
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@login_required
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def live_dashboard_data(request):
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try:
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cpu_usage = cpu_percent(interval=1)
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ram = virtual_memory()
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network = net_io_counters()
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ram_usage = f"{ram.used / (1024 ** 3):.1f} GB / {ram.total / (1024 ** 3):.1f} GB"
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network_traffic = f"{network.bytes_sent / (1024 ** 2):.1f} MB"
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# Mocked example data for the charts
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cpu_data = [45, 50, 60, 55, 70, 65]
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ram_data = [6.5, 7.0, 7.5, 8.0, 8.5, 9.0]
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network_data = [120, 125, 130, 128, 126, 124]
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active_streams = Stream.objects.filter(current_viewers__gt=0)
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active_streams_list = [
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f"Stream {i + 1}: {stream.url or 'Unknown'} ({stream.current_viewers} viewers)"
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for i, stream in enumerate(active_streams)
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]
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data = {
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"cpu_usage": f"{cpu_usage}%",
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"ram_usage": ram_usage,
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"current_streams": active_streams.count(),
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"network_traffic": network_traffic,
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"active_streams": active_streams_list,
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"cpu_data": cpu_data,
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"ram_data": ram_data,
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"network_data": network_data,
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}
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except Exception as e:
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data = {
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"error": str(e)
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}
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return JsonResponse(data)
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