产品展厅柜设计公司,人员优化方案怎么写,wordpress 4.8 中文,都有哪些js素材网站当需要监控硬盘读写和网络传输时#xff0c;我们可以进一步使用psutil库来获取这些信息。以下是修改后的示例程序#xff0c;增加了对硬盘读写和网络传输的监控#xff1a;
import psutil
import json
import timedef get_process_usage():process_list []for proc in psu…
当需要监控硬盘读写和网络传输时我们可以进一步使用psutil库来获取这些信息。以下是修改后的示例程序增加了对硬盘读写和网络传输的监控
import psutil
import json
import timedef get_process_usage():process_list []for proc in psutil.process_iter([pid, name, username, cpu_percent, memory_percent]):process_info proc.infoprocess_list.append({pid: process_info[pid],name: process_info[name],username: process_info[username],cpu_percent: process_info[cpu_percent],memory_percent: process_info[memory_percent]})return process_listdef get_system_usage():cpu_percent psutil.cpu_percent()memory_percent psutil.virtual_memory().percentdisk_usage psutil.disk_usage(/).percentnet_io psutil.net_io_counters()network_usage {bytes_sent: net_io.bytes_sent,bytes_received: net_io.bytes_recv}return {cpu_percent: cpu_percent,memory_percent: memory_percent,disk_percent: disk_usage,network_usage: network_usage}def main():while True:system_usage get_system_usage()process_usage get_process_usage()data {system: system_usage,processes: process_usage}json_data json.dumps(data, indent4)# 输出JSON数据print(json_data)# 保存JSON数据到文件with open(system_monitor.json, w) as file:file.write(json_data)time.sleep(1)if __name__ __main__:main()需要对JSON进行压缩后再写入文件时可以使用Python的gzip库来实现。gzip库可以用于对数据进行压缩和解压缩。以下是修改后的示例程序将JSON数据压缩后再保存到文件 import psutil
import json
import gzip
import timedef get_process_usage():process_list []for proc in psutil.process_iter([pid, name, username, cpu_percent, memory_percent]):process_info proc.infoprocess_list.append({pid: process_info[pid],name: process_info[name],username: process_info[username],cpu_percent: process_info[cpu_percent],memory_percent: process_info[memory_percent]})return process_listdef get_system_usage():cpu_percent psutil.cpu_percent()memory_percent psutil.virtual_memory().percentdisk_usage psutil.disk_usage(/).percentnet_io psutil.net_io_counters()network_usage {bytes_sent: net_io.bytes_sent,bytes_received: net_io.bytes_recv}return {cpu_percent: cpu_percent,memory_percent: memory_percent,disk_percent: disk_usage,network_usage: network_usage}def main():while True:system_usage get_system_usage()process_usage get_process_usage()data {system: system_usage,processes: process_usage}json_data json.dumps(data, indent4)# 压缩JSON数据compressed_data gzip.compress(json_data.encode())# 保存压缩后的数据到文件with gzip.open(system_monitor.json.gz, wb) as file:file.write(compressed_data)time.sleep(1)if __name__ __main__:main()若您想监控每个进程对硬盘读写和网络资源的情况可以对之前的示例程序进行进一步改进。我们可以使用psutil库的io_counters()方法来获取每个进程的硬盘I/O信息并使用psutil.net_io_counters(pernicTrue)来获取每个进程的网络传输信息。以下是修改后的示例程序
import psutil
import json
import gzip
import timedef get_process_usage():process_list []for proc in psutil.process_iter([pid, name, username, cpu_percent, memory_percent]):process_info proc.info# 获取进程的硬盘IO信息和网络IO信息io_counters proc.io_counters()net_io_counters psutil.net_io_counters(pernicTrue).get(proc.info[username])process_list.append({pid: process_info[pid],name: process_info[name],username: process_info[username],cpu_percent: process_info[cpu_percent],memory_percent: process_info[memory_percent],disk_io: {read_bytes: io_counters.read_bytes,write_bytes: io_counters.write_bytes},network_io: {bytes_sent: net_io_counters.bytes_sent,bytes_received: net_io_counters.bytes_recv}})return process_listdef get_system_usage():cpu_percent psutil.cpu_percent()memory_percent psutil.virtual_memory().percentdisk_usage psutil.disk_usage(/).percentnet_io psutil.net_io_counters()network_usage {bytes_sent: net_io.bytes_sent,bytes_received: net_io.bytes_recv}return {cpu_percent: cpu_percent,memory_percent: memory_percent,disk_percent: disk_usage,network_usage: network_usage}def main():while True:system_usage get_system_usage()process_usage get_process_usage()data {system: system_usage,processes: process_usage}json_data json.dumps(data, indent4)# 压缩JSON数据compressed_data gzip.compress(json_data.encode())# 保存压缩后的数据到文件with gzip.open(system_monitor.json.gz, wb) as file:file.write(compressed_data)time.sleep(1)if __name__ __main__:main()当将1、2、3三个功能整合到一起时我们需要对每个功能的获取数据的部分进行整合然后将获取的数据合并为一个综合的JSON对象。以下是整合后的示例程序可以同时监控系统资源、系统传感器数据以及所有进程的CPU和内存资源占用情况并将结果输出成一个综合的JSON文件 import psutil
import sensors
import json
import gzip
import timedef get_sensor_data():sensors.init()sensor_data {}for chip in sensors.iter_detected_chips():for feature in chip:if feature.label:sensor_data[feature.label] {value: feature.get_value(),unit: feature.unit.decode()}sensors.cleanup()return sensor_datadef get_all_processes_usage():process_list []for proc in psutil.process_iter([pid, name, cpu_percent, memory_percent]):process_info proc.infoprocess_list.append({pid: process_info[pid],name: process_info[name],cpu_percent: process_info[cpu_percent],memory_percent: process_info[memory_percent]})return process_listdef get_system_usage():cpu_percent psutil.cpu_percent(interval1)memory_percent psutil.virtual_memory().percentdisk_io psutil.disk_io_counters()network_io psutil.net_io_counters()return {cpu_percent: cpu_percent,memory_percent: memory_percent,disk_io: {read_bytes: disk_io.read_bytes,write_bytes: disk_io.write_bytes},network_io: {bytes_sent: network_io.bytes_sent,bytes_received: network_io.bytes_recv}}def main():while True:system_usage get_system_usage()sensor_data get_sensor_data()all_processes_usage get_all_processes_usage()data {system: system_usage,sensor_data: sensor_data,processes: all_processes_usage}json_data json.dumps(data, indent4)# 压缩JSON数据compressed_data gzip.compress(json_data.encode())# 输出JSON数据print(json_data)# 保存压缩后的数据到文件with gzip.open(system_monitor.json.gz, wb) as file:file.write(compressed_data)time.sleep(1)if __name__ __main__:main()在上述程序中我们分别调用了 get_sensor_data()、get_all_processes_usage() 和 get_system_usage() 函数分别获取系统传感器数据、所有进程的CPU和内存资源占用情况以及系统资源情况。然后将这些数据合并为一个综合的JSON对象并输出到控制台并保存到名为 system_monitor.json.gz 的压缩文件中。
请注意由于系统传感器数据和进程资源占用情况是实时变化的因此您可能会看到输出在不同时间点有所不同。该程序将不断循环输出数据您可以手动停止程序的执行。
