smartmetrics/ts/smartmetrics.classes.smartmetrics.ts

import * as plugins from './smartmetrics.plugins';
import * as interfaces from './smartmetrics.interfaces';
import { Cipher } from 'crypto';

export class SmartMetrics {
  public started = false;
  public sourceNameArg: string;
  public logger: plugins.smartlog.Smartlog;
  public registry: plugins.promClient.Registry;

  public async setup() {
    const collectDefaultMetrics = plugins.promClient.collectDefaultMetrics;
    this.registry = new plugins.promClient.Registry();
    collectDefaultMetrics({ register: this.registry });
  }

  constructor(loggerArg: plugins.smartlog.Smartlog, sourceNameArg: string) {
    this.logger = loggerArg;
    this.sourceNameArg = sourceNameArg;
    this.setup();
  }

  public async start() {
    if (this.started) {
      return;
    }
    this.started = true;
    while (this.started) {
      this.logger.log('info', `sending heartbeat for ${this.sourceNameArg}`, {
        metrics: await this.getMetrics(),
      });
      await plugins.smartdelay.delayFor(60000, null, true);
    }
  }

  public getCpuUsagePercentage() {
    // Take the first CPU, considering every CPUs have the same specs
    // and every NodeJS process only uses one at a time.
    const cpus = plugins.os.cpus();
    let total: number = 0;

    for (const cpu of cpus) {
      total +=
        cpu.times.user +
        cpu.times.sys +
        cpu.times.nice +
        cpu.times.nice +
        cpu.times.irq +
        cpu.times.idle;
    }

    // Normalize the one returned by process.cpuUsage()
    // (microseconds VS miliseconds)
    const usage = process.cpuUsage();
    const currentCPUUsage = (usage.user + usage.system) * 1000;

    // Find out the percentage used for this specific CPU
    const perc = (currentCPUUsage / total) * 100;

    return perc;
  }

  public formatBytes(bytes: number, decimals = 2) {
    if (bytes === 0) return '0 Bytes';

    const k = 1024;
    const dm = decimals < 0 ? 0 : decimals;
    const sizes = ['Bytes', 'KB', 'MB', 'GB', 'TB', 'PB', 'EB', 'ZB', 'YB'];

    const i = Math.floor(Math.log(bytes) / Math.log(k));

    return parseFloat((bytes / Math.pow(k, i)).toFixed(dm)) + ' ' + sizes[i];
  }

  public async getMetrics() {
    const originalMetrics = await this.registry.getMetricsAsJSON();
    const returnMetrics: interfaces.IMetricsSnapshot = {
      originalMetrics,
      process_cpu_seconds_total: (
        originalMetrics.find((metricSet) => metricSet.name === 'process_cpu_seconds_total') as any
      ).values[0].value,
      nodejs_active_handles_total: (
        originalMetrics.find((metricSet) => metricSet.name === 'nodejs_active_handles_total') as any
      ).values[0].value,
      nodejs_active_requests_total: (
        originalMetrics.find(
          (metricSet) => metricSet.name === 'nodejs_active_requests_total'
        ) as any
      ).values[0].value,
      nodejs_heap_size_total_bytes: (
        originalMetrics.find(
          (metricSet) => metricSet.name === 'nodejs_heap_size_total_bytes'
        ) as any
      ).values[0].value,
      cpuPercentage: Math.round(this.getCpuUsagePercentage() * 100) / 100,
      memoryUsageText: this.formatBytes(
        (
          originalMetrics.find(
            (metricSet) => metricSet.name === 'nodejs_heap_size_total_bytes'
          ) as any
        ).values[0].value
      ),
      memoryPercentage:
        Math.round(((
          originalMetrics.find(
            (metricSet) => metricSet.name === 'nodejs_heap_size_total_bytes'
          ) as any
        ).values[0].value /
          plugins.os.totalmem()) *
        100 * 100) / 100,
    };
    return returnMetrics;
  }

  public async stop() {}
}