我更喜欢runpy:

#!/usr/bin/env python
# coding: utf-8

import runpy

runpy.run_path(path_name='script-01.py')
runpy.run_path(path_name='script-02.py')
runpy.run_path(path_name='script-03.py')

你不应该这么做。相反,做:

test1.py:

 def print_test():
      print "I am a test"
      print "see! I do nothing productive."

service.py

#near the top
from test1 import print_test
#lots of stuff here
print_test()

另一种方法:

文件test1.py:

print "test1.py"

文件service.py:

import subprocess

subprocess.call("test1.py", shell=True)

这种方法的优点是，您不必编辑现有的Python脚本来将其所有代码放入子例程中。

文档:Python 2, Python 3

为什么不直接导入test1?每个python脚本都是一个模块。更好的方法是在test1.py中添加一个函数main/run，导入test1并运行test1.main()。或者可以将test1.py作为子进程执行。

通常的做法是这样的。

test1.py

def some_func():
    print 'in test 1, unproductive'

if __name__ == '__main__':
    # test1.py executed as script
    # do something
    some_func()

service.py

import test1

def service_func():
    print 'service func'

if __name__ == '__main__':
    # service.py executed as script
    # do something
    service_func()
    test1.some_func()

I found runpy standard library most convenient. Why? You have to consider case when error raised in test1.py script, and with runpy you are able to handle this in service.py code. Both traceback text (to write error in log file for future investigation) and error object (to handle error depends on its type): when with subprocess library I wasn't able to promote error object from test1.py to service.py, only traceback output. Also, comparing to "import test1.py as a module" solution, runpy is better cause you have no need to wrap code of test1.py into def main(): function.

代码片段为例，使用traceback模块捕获最后一个错误文本:

import traceback
import runpy #https://www.tutorialspoint.com/locating-and-executing-python-modules-runpy

from datetime import datetime


try:
    runpy.run_path("./E4P_PPP_2.py")
except Exception as e:
    print("Error occurred during execution at " + str(datetime.now().date()) + " {}".format(datetime.now().time()))
    print(traceback.format_exc())
    print(e)