Python：win32job 库高级用法举例和应用详解

import win32job  # 导入win32job库
import win32process  # 导入win32process库
import win32api  # 导入win32api库

# 创建一个作业对象
hJob = win32job.CreateJobObject(None, "MyJob")  # 创建新的作业

# 设置作业信息
job_info = win32job.QueryInformationJobObject(hJob, win32job.JobObjectInfoClass.JobObjectBasicLimitInformation)  # 查询作业信息
job_info[0].ActiveProcessLimit = 1  # 设置同时运行的进程限制为1

win32job.SetInformationJobObject(hJob, win32job.JobObjectInfoClass.JobObjectBasicLimitInformation, job_info)  # 设置作业限制

# 启动一个新的进程并将其分配到作业中
process_info = win32process.CreateProcess(None, "notepad.exe", None, None, 0, win32process.CREATE_SUSPENDED, None, None)  # 创建进程
win32job.AssignProcessToJobObject(hJob, process_info[0])  # 将进程分配到作业中

# 激活进程
win32api.ResumeThread(process_info[1])  # 继续执行进程

import win32job  # 导入win32job库
import time  # 导入时间库

# 定义一个函数用于监控作业进程
def monitor_job(hJob):
    while True:  # 持续监控
        try:
            job_state = win32job.QueryInformationJobObject(hJob, win32job.JobObjectInfoClass.JobObjectBasicUIRestrictions)  # 查询作业状态
            print("作业状态:", job_state)  # 打印作业状态
            time.sleep(5)  # 每5秒检查一次
        except Exception as e:
            print("监控过程中出错:", e)  # 捕获并打印错误

# 调用监控函数
monitor_job(hJob)  # 监控作业对象

import win32job  # 导入win32job库

# 设置作业资源限制
def set_resource_limit(hJob):
    limits = win32job.QueryInformationJobObject(hJob, win32job.JobObjectInfoClass.JobObjectBasicLimitInformation)  # 查询基本限制信息
    limits[0].LimitFlags = win32job.JOB_OBJECT_LIMIT_WORKINGSET  # 设置内存使用限制
    limits[0].PerProcessUserTimeLimit = 0  # 设置用户时间限制为0，表示不限制
    win32job.SetInformationJobObject(hJob, win32job.JobObjectInfoClass.JobObjectBasicLimitInformation, limits)  # 应用限制

# 调用设置资源限制的函数
set_resource_limit(hJob)  # 对作业对象应用资源限制