Psutil + Flask + Pyecharts + Bootstrap 开发动态可视化系统监控

pip3 install psutil

>>> import psutil
# 获取当前 CPU 的利用率>>> psutil.cpu_percent()53.8
# 获取当前 CPU 的用户/系统/空闲时间>>> psutil.cpu_times()scputimes(user=197483.49, nice=0.0, system=114213.01, idle=1942295.68)
# 1/5/15 分钟之内的 CPU 负载>>> psutil.getloadavg()(7.865234375, 5.1826171875, 4.37353515625)
# CPU 逻辑个数>>> psutil.cpu_count()4
# CPU 物理个数>>> psutil.cpu_count(logical=False)2

cpu_percent_dict = {}def cpu():    # 当前时间    now = time.strftime('%H:%M:%S', time.localtime(time.time()))    #  CPU 负载    cpu_percent = psutil.cpu_percent()    cpu_percent_dict[now] = cpu_percent
    # 保持在图表中 10 个数据    if len(cpu_percent_dict.keys()) == 11:        cpu_percent_dict.pop(list(cpu_percent_dict.keys())[0])
def cpu_line() -> Line:    cpu()    # 全量更新 pyecharts 图表    c = (        Line()            .add_xaxis(list(cpu_percent_dict.keys()))            .add_yaxis('', list(cpu_percent_dict.values()), areastyle_opts=opts.AreaStyleOpts(opacity=0.5))            .set_global_opts(title_opts=opts.TitleOpts(title = now + "CPU负载",pos_left = "center"),                             yaxis_opts=opts.AxisOpts(min_=0,max_=100,split_number=10,type_="value", name='%'))    )    return c
@app.route("/cpu")def get_cpu_chart():    c = cpu_line()    return c.dump_options_with_quotes()

# 系统内存信息 总内存/立刻可用给进程使用的内存/内存负载/已使用内存/空闲内存/当前正在使用或者最近使用的内存/未使用的内存/永久在内存>>> psutil.virtual_memory()svmem(total=8589934592, available=2610610176, percent=69.6, used=4251074560, free=387874816, active=2219110400, inactive=2069094400, wired=2031964160)
# 交换区内存 总内存/使用的内存/空闲的内存/负载/系统从磁盘交换进来的字节数(累计)/系统从磁盘中交换的字节数（累积）>>> psutil.swap_memory()sswap(total=2147483648, used=834404352, free=1313079296, percent=38.9, sin=328911147008, sout=3249750016)

def memory():    memory = psutil.virtual_memory()    swap = psutil.swap_memory()    # 在 Mac OS 上 未使用内存 = 总内存 - (空闲内存 + 未使用内存)    return memory.total, memory.total - (memory.free + memory.inactive), memory.free + memory.inactive, swap.total, swap.used, swap.free, memory.percent
def memory_liquid() -> Gauge:    mtotal, mused, mfree, stotal, sused, sfree, mpercent = memory()    c = (        Gauge()            .add("", [("", mpercent)])            .set_global_opts(title_opts=opts.TitleOpts(title="内存负载", pos_left = "center"))    )    return mtotal, mused, mfree, stotal, sused, sfree, c
@app.route("/memory")def get_memory_chart():    mtotal, mused, mfree, stotal, sused, sfree, c = memory_liquid()    return jsonify({'mtotal': mtotal, 'mused': mused, 'mfree': mfree, 'stotal': stotal, 'sused': sused, 'sfree': sfree, 'liquid': c.dump_options_with_quotes()})

# 磁盘分区情况>>> psutil.disk_partitions()[sdiskpart(device='/dev/disk1s5', mountpoint='/', fstype='apfs', opts='ro,local,rootfs,dovolfs,journaled,multilabel'), sdiskpart(device='/dev/disk1s1', mountpoint='/System/Volumes/Data', fstype='apfs', opts='rw,local,dovolfs,dontbrowse,journaled,multilabel'), sdiskpart(device='/dev/disk1s4', mountpoint='/private/var/vm', fstype='apfs', opts='rw,local,dovolfs,dontbrowse,journaled,multilabel'), sdiskpart(device='/dev/disk1s3', mountpoint='/Volumes/Recovery', fstype='apfs', opts='rw,local,dovolfs,dontbrowse,journaled,multilabel')]
# 磁盘的使用情况 磁盘总大小/已使用大小/空闲大小/负载>>> psutil.disk_usage('/')sdiskusage(total=250790436864, used=10872418304, free=39636717568, percent=21.5)
# 磁盘IO 读取次数/写入次数/读取数据/写入数据/磁盘读取所花费的时间/写入磁盘所花费的时间>>> psutil.disk_io_counters()sdiskio(read_count=26404943, write_count=11097500, read_bytes=609467826688, write_bytes=464322912256, read_time=7030486, write_time=2681553)

disk_dict = {'disk_time':[], 'write_bytes': [], 'read_bytes': [], 'pre_write_bytes': 0, 'pre_read_bytes': 0, 'len': -1}def disk():    disk_usage = psutil.disk_usage('/')    disk_used = 0    # 磁盘已使用大小 = 每个分区的总和    partitions = psutil.disk_partitions()    for partition in partitions:        partition_disk_usage = psutil.disk_usage(partition[1])        disk_used = partition_disk_usage.used + disk_used
    now = time.strftime('%H:%M:%S', time.localtime(time.time()))    count = psutil.disk_io_counters()    read_bytes = count.read_bytes    write_bytes = count.write_bytes        # 第一次请求    if disk_dict['len'] == -1:        disk_dict['pre_write_bytes'] = write_bytes        disk_dict['pre_read_bytes'] = read_bytes        disk_dict['len'] = 0        return disk_usage.total, disk_used, disk_usage.free        # 当前速率=现在写入/读取的总字节-前一次请求写入/读取的总字节    disk_dict['write_bytes'].append((write_bytes - disk_dict['pre_write_bytes'])/1024)    disk_dict['read_bytes'].append((read_bytes - disk_dict['pre_read_bytes'])/ 1024)    disk_dict['disk_time'].append(now)    disk_dict['len'] = disk_dict['len'] + 1        # 把现在写入/读取的总字节放入前一个请求的变量中    disk_dict['pre_write_bytes'] = write_bytes    disk_dict['pre_read_bytes'] = read_bytes        # 保持在图表中 50 个数据    if disk_dict['len'] == 51:        disk_dict['write_bytes'].pop(0)        disk_dict['read_bytes'].pop(0)        disk_dict['disk_time'].pop(0)        disk_dict['len'] = disk_dict['len'] - 1
    return disk_usage.total, disk_used, disk_usage.free
def disk_line() -> Line:    total, used, free = disk()    c = (        Line(init_opts=opts.InitOpts(width="1680px", height="800px"))        .add_xaxis(xaxis_data=disk_dict['disk_time'])        .add_yaxis(            series_name="写入数据",            y_axis=disk_dict['write_bytes'],            areastyle_opts=opts.AreaStyleOpts(opacity=0.5),            linestyle_opts=opts.LineStyleOpts(),            label_opts=opts.LabelOpts(is_show=False),        )        .add_yaxis(            series_name="读取数据",            y_axis=disk_dict['read_bytes'],            yaxis_index=1,            areastyle_opts=opts.AreaStyleOpts(opacity=0.5),            linestyle_opts=opts.LineStyleOpts(),            label_opts=opts.LabelOpts(is_show=False),        )        .extend_axis(            yaxis=opts.AxisOpts(                name_location="start",                type_="value",                is_inverse=True,                axistick_opts=opts.AxisTickOpts(is_show=True),                splitline_opts=opts.SplitLineOpts(is_show=True),                name='KB/2S'            )        )        .set_global_opts(            title_opts=opts.TitleOpts(                title="磁盘IO",                pos_left="center",                pos_top="top",            ),            tooltip_opts=opts.TooltipOpts(trigger="axis", axis_pointer_type="cross"),            legend_opts=opts.LegendOpts(pos_left="left"),            xaxis_opts=opts.AxisOpts(type_="category", boundary_gap=False),            yaxis_opts=opts.AxisOpts( type_="value", name='KB/2S'),        )        .set_series_opts(            axisline_opts=opts.AxisLineOpts(),        )    )
    return total, used, free, c
@app.route("/disk")def get_disk_chart():    total, used, free, c = disk_line()    return jsonify({'total': total, 'used': used, 'free': free, 'line': c.dump_options_with_quotes()})

# 所有进程的 pid>>> psutil.pids()[0, 1, 134, 135, 138, 139, 140, 141, 144, 145, 147, 152, ..., 30400, 97792]
# 单个进程>>> p = psutil.Process(30400)
# 名称>>> p.name()'pycharm'
# 使用内存负载>>> p.memory_percent()12.838459014892578
# 启动时间>>> p.create_time()1587029962.493182
# 路径>>> p.exe()'/Applications/PyCharm.app/Contents/MacOS/pycharm'
# 状态>>> p.status()'running'
# 用户名>>> p.username()'imeng'
# 内存信息>>> p.memory_info()pmem(rss=1093005312, vms=9914318848, pfaults=7813313, pageins=8448)

def process():    result = []    process_list = []    pid = psutil.pids()    for k, i in enumerate(pid):        try:            proc = psutil.Process(i)            ctime = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(proc.create_time()))            process_list.append((str(i), proc.name(), proc.cpu_percent(), proc.memory_percent(), ctime))        except psutil.AccessDenied:            # 需要管理员权限            pass        except psutil.NoSuchProcess:            pass        except SystemError:            pass                # 按负载排序        process_list.sort(key=process_sort, reverse=True)
    for i in process_list:        result.append({'PID': i[0], 'name': i[1], 'cpu': i[2], 'mem': "%.2f%%"%i[3], 'ctime': i[4]})
    return jsonify({'list', result})
def process_sort(elem):    return elem[3]
@app.route("/process")def get_process_tab():    c = process()    return c
@app.route("/delprocess")def del_process():    pid = request.args.get("pid")    os.kill(int(pid), signal.SIGKILL)    return jsonify({'status': 'OK'})