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non linux optimizations for macbook

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This commit is contained in:
jasonwitty 2025-08-26 10:14:14 -07:00
parent f37b8d9ff4
commit 8ce00a5dad
3 changed files with 37 additions and 20 deletions
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2
Cargo.lock generated
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@ -2187,7 +2187,7 @@ dependencies = [
[[package]]
name = "socktop_agent"
version = "1.40.2"
version = "1.40.3"
dependencies = [
"anyhow",
"assert_cmd",

2
socktop_agent/Cargo.toml
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@ -1,6 +1,6 @@
[package]
name = "socktop_agent"
version = "1.40.2"
version = "1.40.3"
authors = ["Jason Witty <jasonpwitty+socktop@proton.me>"]
description = "Remote system monitor over WebSocket, TUI like top"
edition = "2021"

49
socktop_agent/src/metrics.rs
View File

@ -17,17 +17,33 @@ use sysinfo::{ProcessRefreshKind, ProcessesToUpdate};
use tracing::warn;
// Optional normalization: divide per-process cpu_usage by logical core count so a fully
// saturated multi-core process reports near 100% instead of N*100%. Enabled by default on
// non-Linux (macOS/Windows) to counter per-core summing; disable with SOCKTOP_AGENT_NORMALIZE_CPU=0.
// saturated multi-core process reports near 100% instead of N*100%. Disabled by default on
// non-Linux because Activity Monitor / Task Manager semantics allow per-process >100% (multi-core).
// Enable with SOCKTOP_AGENT_NORMALIZE_CPU=1 if you prefer a single-core 0..100% scale.
#[cfg(not(target_os = "linux"))]
fn normalize_cpu_enabled() -> bool {
static ON: OnceCell<bool> = OnceCell::new();
*ON.get_or_init(|| {
std::env::var("SOCKTOP_AGENT_NORMALIZE_CPU")
.map(|v| v != "0")
.unwrap_or(true)
.unwrap_or(false)
})
}
// Smoothed scaling factor cache (non-Linux) to prevent jitter when reconciling
// summed per-process CPU usage with global CPU usage.
#[cfg(not(target_os = "linux"))]
static SCALE_SMOOTH: OnceCell<Mutex<Option<f32>>> = OnceCell::new();
#[cfg(not(target_os = "linux"))]
fn smooth_scale_factor(target: f32) -> f32 {
let lock = SCALE_SMOOTH.get_or_init(|| Mutex::new(None));
let mut guard = lock.lock().unwrap();
let new = guard
.map(|prev| prev * 0.6 + target * 0.4)
.unwrap_or(target);
*guard = Some(new);
new
}
// Runtime toggles (read once)
fn gpu_enabled() -> bool {
static ON: OnceCell<bool> = OnceCell::new();
@ -313,7 +329,8 @@ pub async fn collect_processes_all(state: &AppState) -> ProcessesPayload {
let ttl_ms: u64 = std::env::var("SOCKTOP_AGENT_PROCESSES_TTL_MS")
.ok()
.and_then(|v| v.parse().ok())
.unwrap_or(1_000);
// Higher default (1500ms) on non-Linux to lower overhead while keeping responsiveness.
.unwrap_or(1_500);
let ttl = StdDuration::from_millis(ttl_ms);
{
let cache = state.cache_processes.lock().await;
@ -453,16 +470,14 @@ pub async fn collect_processes_all(state: &AppState) -> ProcessesPayload {
sys.refresh_cpu_usage();
let total_count = sys.processes().len();
let norm = normalize_cpu_enabled();
let cores = if norm {
sys.cpus().len().max(1) as f32
} else {
1.0
};
let cores = sys.cpus().len().max(1) as f32;
let mut list: Vec<ProcessInfo> = sys
.processes()
.values()
.map(|p| {
let raw = p.cpu_usage();
// If normalization enabled: present 0..100% single-core scale.
// Else keep raw (which may exceed 100 on multi-core usage) for familiarity with OS tools.
let cpu = if norm {
(raw / cores).clamp(0.0, 100.0)
} else {
@ -476,20 +491,22 @@ pub async fn collect_processes_all(state: &AppState) -> ProcessesPayload {
}
})
.collect();
// Automatic scaling (enabled by default): if sum of per-process CPU exceeds global
// CPU by >5%, scale all process CPU values proportionally so the sum matches global.
if std::env::var("SOCKTOP_AGENT_SCALE_PROC_CPU")
// Global reconciliation (default ON) only when NOT using core normalization.
if !norm
&& std::env::var("SOCKTOP_AGENT_SCALE_PROC_CPU")
.map(|v| v != "0")
.unwrap_or(true)
{
let sum: f32 = list.iter().map(|p| p.cpu_usage).sum();
let global = sys.global_cpu_usage();
if sum > 0.0 && global > 0.0 {
let scale = global / sum;
if scale < 0.95 {
// only scale if we're at least 5% over
// target scale so that sum * scale ~= global
let target_scale = (global / sum).min(1.0);
// Only scale if we're more than 10% over.
if target_scale < 0.9 {
let s = smooth_scale_factor(target_scale);
for p in &mut list {
p.cpu_usage = (p.cpu_usage * scale).clamp(0.0, 100.0);
p.cpu_usage = (p.cpu_usage * s).clamp(0.0, global.max(100.0));
}
}
}