macos-stats/Stats/Modules/CPU/CPUReader.swift

//
//  reader.swift
//  Stats
//
//  Created by Serhiy Mytrovtsiy on 01.06.2019.
//  Copyright © 2019 Serhiy Mytrovtsiy. All rights reserved.
//

import Foundation

class CPUReader: Reader {
    var usage: Observable<Float>!
    var cpuInfo: processor_info_array_t!
    var prevCpuInfo: processor_info_array_t?
    var numCpuInfo: mach_msg_type_number_t = 0
    var numPrevCpuInfo: mach_msg_type_number_t = 0
    var numCPUs: uint = 0
    var updateTimer: Timer!
    let CPUUsageLock: NSLock = NSLock()
    
    init() {
        let mibKeys: [Int32] = [ CTL_HW, HW_NCPU ]
        self.usage = Observable(0)
        mibKeys.withUnsafeBufferPointer() { mib in
            var sizeOfNumCPUs: size_t = MemoryLayout<uint>.size
            let status = sysctl(processor_info_array_t(mutating: mib.baseAddress), 2, &numCPUs, &sizeOfNumCPUs, nil, 0)
            if status != 0 {
                numCPUs = 1
            }
            read()
        }
    }
    
    func start() {
        if updateTimer != nil {
            return
        }
        updateTimer = Timer.scheduledTimer(timeInterval: 1, target: self, selector: #selector(read), userInfo: nil, repeats: true)
    }
    
    func stop() {
        if updateTimer == nil {
            return
        }
        updateTimer.invalidate()
        updateTimer = nil
    }
    
    @objc func read() {
        var numCPUsU: natural_t = 0
        let err: kern_return_t = host_processor_info(mach_host_self(), PROCESSOR_CPU_LOAD_INFO, &numCPUsU, &cpuInfo, &numCpuInfo);
        if err == KERN_SUCCESS {
            CPUUsageLock.lock()
            
            var inUseOnAllCores: Int32 = 0
            var totalOnAllCores: Int32 = 0
            for i in 0 ..< Int32(numCPUs) {
                var inUse: Int32
                var total: Int32
                if let prevCpuInfo = prevCpuInfo {
                    inUse = cpuInfo[Int(CPU_STATE_MAX * i + CPU_STATE_USER)]
                        - prevCpuInfo[Int(CPU_STATE_MAX * i + CPU_STATE_USER)]
                        + cpuInfo[Int(CPU_STATE_MAX * i + CPU_STATE_SYSTEM)]
                        - prevCpuInfo[Int(CPU_STATE_MAX * i + CPU_STATE_SYSTEM)]
                        + cpuInfo[Int(CPU_STATE_MAX * i + CPU_STATE_NICE)]
                        - prevCpuInfo[Int(CPU_STATE_MAX * i + CPU_STATE_NICE)]
                    total = inUse + (cpuInfo[Int(CPU_STATE_MAX * i + CPU_STATE_IDLE)]
                        - prevCpuInfo[Int(CPU_STATE_MAX * i + CPU_STATE_IDLE)])
                } else {
                    inUse = cpuInfo[Int(CPU_STATE_MAX * i + CPU_STATE_USER)]
                        + cpuInfo[Int(CPU_STATE_MAX * i + CPU_STATE_SYSTEM)]
                        + cpuInfo[Int(CPU_STATE_MAX * i + CPU_STATE_NICE)]
                    total = inUse + cpuInfo[Int(CPU_STATE_MAX * i + CPU_STATE_IDLE)]
                }
                
                inUseOnAllCores = inUseOnAllCores + inUse
                totalOnAllCores = totalOnAllCores + total
            }
            self.usage << (Float(inUseOnAllCores) / Float(totalOnAllCores))
            
            CPUUsageLock.unlock()
            
            if let prevCpuInfo = prevCpuInfo {
                let prevCpuInfoSize: size_t = MemoryLayout<integer_t>.stride * Int(numPrevCpuInfo)
                vm_deallocate(mach_task_self_, vm_address_t(bitPattern: prevCpuInfo), vm_size_t(prevCpuInfoSize))
            }
            
            prevCpuInfo = cpuInfo
            numPrevCpuInfo = numCpuInfo
            
            cpuInfo = nil
            numCpuInfo = 0
        } else {
            print("Error KERN_SUCCESS!")
        }
    }
}