Python 使用子流程导出多个文件

我想导出多个txt文件与子进程

  ip_address = ['172.16.{}.{}'.format(rack_number, box_number) for box_number in stb_list]

    ip_address = ['10.10.8.89'] # Testing for single ip

    # def planner_events_info():


    #Connect to Boxes 

    if len(ip_address) > 0:



        for ip in ip_address:


            action = 'FullExport'
            menu_action = 'all'
            arg_list = [('C:\\Users\\yke01\\Documents\\StormTest\\Scripts\\Completed'
                            '\\Utils\\UPNP_Client_Cmd_Line.py')]
            arg_list.append(' --action=')
            arg_list.append(action)
            arg_list.append(' --ip=')
            arg_list.append(ip)
            arg_list.append(' --menu=')
            arg_list.append(menu_action)

            x = subprocess.Popen(arg_list, shell=True)

            # print arg_list

            with open("output.txt", "w+") as output:
                subprocess.call(["python", arg_list], stdout=output)

使用单个ip地址，我可以导出output.txt。我正在为最多16个不同的IP编写脚本

ip_address = ['172.16.1.1, 172.16.1.2, 172.16.1.3, 172.16.1.4, ]

---

例如，对于上面的ip地址，我想导出4个txt文件。任何帮助，我们都将不胜感激

1。一个接一个-串行管道

for i,ip in enumerate(ip_address):
    filename = "output_"+str(i)+".txt"
    #...
    with open(filename, "w+") as output:
        subprocess.call(["python", arg_list], stdout=output)

import multiprocessing

ip_address = ['172.16.1.1', '172.16.1.2', '172.16.1.3', '172.16.1.4', ]

def runProcess(arg_list,output_file):
    print('Will run:\n    %s\nand save to \n    %s\n'%(arg_list, output_file))
    x = subprocess.Popen(arg_list, shell=True)

    with open(output_file, "w+") as output:
        subprocess.call(["python", arg_list], stdout=output)

tasks=[]
#prepare list of tasks
for i,ip in enumerate(ip_address):
    filename = "output_"+str(i)+".txt"
    action = 'FullExport'
    menu_action = 'all'
    arg_list = [('C:\\Users\\yke01\\Documents\\StormTest\\Scripts\\Completed'
                    '\\Utils\\UPNP_Client_Cmd_Line.py')]
    arg_list.append(' --action=')
    arg_list.append(action)
    arg_list.append(' --ip=')
    arg_list.append(ip)
    arg_list.append(' --menu=')
    arg_list.append(menu_action)

    tasks.append((arg_list,filename)) #pairs: (arg_list,output_file)

#run tasks
numthreads = multiprocessing.cpu_count()
pool = multiprocessing.Pool( numthreads )
results = [pool.apply_async( runProcess, t ) for t in tasks]
pool.close()
pool.join()

2。并行管道

for i,ip in enumerate(ip_address):
    filename = "output_"+str(i)+".txt"
    #...
    with open(filename, "w+") as output:
        subprocess.call(["python", arg_list], stdout=output)

import multiprocessing

ip_address = ['172.16.1.1', '172.16.1.2', '172.16.1.3', '172.16.1.4', ]

def runProcess(arg_list,output_file):
    print('Will run:\n    %s\nand save to \n    %s\n'%(arg_list, output_file))
    x = subprocess.Popen(arg_list, shell=True)

    with open(output_file, "w+") as output:
        subprocess.call(["python", arg_list], stdout=output)

tasks=[]
#prepare list of tasks
for i,ip in enumerate(ip_address):
    filename = "output_"+str(i)+".txt"
    action = 'FullExport'
    menu_action = 'all'
    arg_list = [('C:\\Users\\yke01\\Documents\\StormTest\\Scripts\\Completed'
                    '\\Utils\\UPNP_Client_Cmd_Line.py')]
    arg_list.append(' --action=')
    arg_list.append(action)
    arg_list.append(' --ip=')
    arg_list.append(ip)
    arg_list.append(' --menu=')
    arg_list.append(menu_action)

    tasks.append((arg_list,filename)) #pairs: (arg_list,output_file)

#run tasks
numthreads = multiprocessing.cpu_count()
pool = multiprocessing.Pool( numthreads )
results = [pool.apply_async( runProcess, t ) for t in tasks]
pool.close()
pool.join()

从multiprocessing.Pool使用apply\u Async异步运行

这是一个完整的跑步示例

for i,ip in enumerate(ip_address):
    filename = "output_"+str(i)+".txt"
    #...
    with open(filename, "w+") as output:
        subprocess.call(["python", arg_list], stdout=output)

import multiprocessing

ip_address = ['172.16.1.1', '172.16.1.2', '172.16.1.3', '172.16.1.4', ]

def runProcess(arg_list,output_file):
    print('Will run:\n    %s\nand save to \n    %s\n'%(arg_list, output_file))
    x = subprocess.Popen(arg_list, shell=True)

    with open(output_file, "w+") as output:
        subprocess.call(["python", arg_list], stdout=output)

tasks=[]
#prepare list of tasks
for i,ip in enumerate(ip_address):
    filename = "output_"+str(i)+".txt"
    action = 'FullExport'
    menu_action = 'all'
    arg_list = [('C:\\Users\\yke01\\Documents\\StormTest\\Scripts\\Completed'
                    '\\Utils\\UPNP_Client_Cmd_Line.py')]
    arg_list.append(' --action=')
    arg_list.append(action)
    arg_list.append(' --ip=')
    arg_list.append(ip)
    arg_list.append(' --menu=')
    arg_list.append(menu_action)

    tasks.append((arg_list,filename)) #pairs: (arg_list,output_file)

#run tasks
numthreads = multiprocessing.cpu_count()
pool = multiprocessing.Pool( numthreads )
results = [pool.apply_async( runProcess, t ) for t in tasks]
pool.close()
pool.join()

---

您对每个ip使用相同的文件

'output.txt'

。更改每个ip的

output.txt

名称以写入不同的文件。