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Use wait_async for get_nvidia_gpu_use

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rcassani 2022-06-11 15:20:11 -04:00
parent 059839525a
commit 36df869c64
1 changed files with 14 additions and 6 deletions
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20
files/system-monitor-graph@rcassani/desklet.js
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@ -98,6 +98,8 @@ SystemMonitorGraph.prototype = {
this.cpu_cpu_idl = 0;
this.hdd_cpu_tot = 0;
this.hdd_hdd_tot = 0;
// values to graph
this.gpu_use = 0;
// set colors
switch (this.type) {
case "cpu":
@ -192,10 +194,10 @@ SystemMonitorGraph.prototype = {
case "nvidia":
switch (this.gpu_variable) {
case "usage":
let gpu_use = this.get_nvidia_gpu_use();
value = gpu_use / 100;
this.get_nvidia_gpu_use();
value = this.gpu_use / 100;
text1 = _("GPU Usage");
text2 = Math.round(gpu_use).toString() + "%";
text2 = Math.round(this.gpu_use).toString() + "%";
break;
case "memory":
let gpu_mem_values = this.get_nvidia_gpu_mem();
@ -412,9 +414,15 @@ SystemMonitorGraph.prototype = {
},
get_nvidia_gpu_use: function() {
let [result, stdout, stderr] = GLib.spawn_command_line_sync("nvidia-smi --query-gpu=utilization.gpu --format=csv --id=" + this.gpu_id);
let gpu_use = parseInt(stdout.toString().match(/[^\r\n]+/g)[1]); // parse integer in second line
return gpu_use;
let subprocess = new Gio.Subprocess({
argv: ['nvidia-smi', '--query-gpu=utilization.gpu', '--format=csv', '--id='+ this.gpu_id],
flags: Gio.SubprocessFlags.STDOUT_PIPE|Gio.SubprocessFlags.STDERR_PIPE,
});
subprocess.init(null);
subprocess.wait_async(null, (sourceObject, res) => {
let [, stdout, stderr] = sourceObject.communicate_utf8(null, null);
this.gpu_use = parseInt(stdout.toString().match(/[^\r\n]+/g)[1]); // parse integer in second line
});
},
get_nvidia_gpu_mem: function() {