PluralKit/PluralKit.Bot/Services/PeriodicStatCollector.cs

103 lines
4.1 KiB
C#

using System.Collections.Generic;
using System.Diagnostics;
using System.Linq;
using System.Threading;
using System.Threading.Tasks;
using App.Metrics;
using Discord;
using Discord.WebSocket;
using NodaTime.Extensions;
using PluralKit.Core;
using Serilog;
namespace PluralKit.Bot
{
public class PeriodicStatCollector
{
private DiscordShardedClient _client;
private IMetrics _metrics;
private SystemStore _systems;
private MemberStore _members;
private SwitchStore _switches;
private MessageStore _messages;
private ILogger _logger;
public PeriodicStatCollector(IDiscordClient client, IMetrics metrics, SystemStore systems, MemberStore members, SwitchStore switches, MessageStore messages, ILogger logger)
{
_client = (DiscordShardedClient) client;
_metrics = metrics;
_systems = systems;
_members = members;
_switches = switches;
_messages = messages;
_logger = logger.ForContext<PeriodicStatCollector>();
}
public async Task CollectStats()
{
var stopwatch = new Stopwatch();
stopwatch.Start();
// Aggregate guild/channel stats
_metrics.Measure.Gauge.SetValue(BotMetrics.Guilds, _client.Guilds.Count);
_metrics.Measure.Gauge.SetValue(BotMetrics.Channels, _client.Guilds.Sum(g => g.TextChannels.Count));
// Aggregate member stats
var usersKnown = new HashSet<ulong>();
var usersOnline = new HashSet<ulong>();
foreach (var guild in _client.Guilds)
foreach (var user in guild.Users)
{
usersKnown.Add(user.Id);
if (user.Status == UserStatus.Online) usersOnline.Add(user.Id);
}
_metrics.Measure.Gauge.SetValue(BotMetrics.MembersTotal, usersKnown.Count);
_metrics.Measure.Gauge.SetValue(BotMetrics.MembersOnline, usersOnline.Count);
// Aggregate DB stats
_metrics.Measure.Gauge.SetValue(CoreMetrics.SystemCount, await _systems.Count());
_metrics.Measure.Gauge.SetValue(CoreMetrics.MemberCount, await _members.Count());
_metrics.Measure.Gauge.SetValue(CoreMetrics.SwitchCount, await _switches.Count());
_metrics.Measure.Gauge.SetValue(CoreMetrics.MessageCount, await _messages.Count());
// Process info
var process = Process.GetCurrentProcess();
_metrics.Measure.Gauge.SetValue(CoreMetrics.ProcessPhysicalMemory, process.WorkingSet64);
_metrics.Measure.Gauge.SetValue(CoreMetrics.ProcessVirtualMemory, process.VirtualMemorySize64);
_metrics.Measure.Gauge.SetValue(CoreMetrics.ProcessPrivateMemory, process.PrivateMemorySize64);
_metrics.Measure.Gauge.SetValue(CoreMetrics.ProcessThreads, process.Threads.Count);
_metrics.Measure.Gauge.SetValue(CoreMetrics.ProcessHandles, process.HandleCount);
_metrics.Measure.Gauge.SetValue(CoreMetrics.CpuUsage, await EstimateCpuUsage());
stopwatch.Stop();
_logger.Information("Updated metrics in {Time}", stopwatch.ElapsedDuration());
}
private async Task<double> EstimateCpuUsage()
{
// We get the current processor time, wait 5 seconds, then compare
// https://medium.com/@jackwild/getting-cpu-usage-in-net-core-7ef825831b8b
_logger.Information("Estimating CPU usage...");
var stopwatch = new Stopwatch();
stopwatch.Start();
var cpuTimeBefore = Process.GetCurrentProcess().TotalProcessorTime;
await Task.Delay(5000);
stopwatch.Stop();
var cpuTimeAfter = Process.GetCurrentProcess().TotalProcessorTime;
var cpuTimePassed = cpuTimeAfter - cpuTimeBefore;
var timePassed = stopwatch.Elapsed;
var percent = cpuTimePassed / timePassed;
_logger.Information("CPU usage measured as {Percent:P}", percent);
return percent;
}
}
}