下面是Kender代码的简化版本，它似乎做了同样的技巧，并且没有导入整个文件:

# Check file for new data.

import time

f = open(r'c:\temp\test.txt', 'r')

while True:

    line = f.readline()
    if not line:
        time.sleep(1)
        print 'Nothing New'
    else:
        print 'Call Function: ', line

看看pyinotify。

Inotify在新的linux中取代了dnotify(从以前的答案)，并允许文件级而不是目录级监控。

最简单的解决方案是在间隔之后获取同一个文件的两个实例并进行比较。你可以试试这样的东西

    while True:
        # Capturing the two instances models.py after certain interval of time
        print("Looking for changes in " + app_name.capitalize() + " models.py\nPress 'CTRL + C' to stop the program")
        with open(app_name.capitalize() + '/filename', 'r+') as app_models_file:
            filename_content = app_models_file.read()
        time.sleep(5)
        with open(app_name.capitalize() + '/filename', 'r+') as app_models_file_1:
            filename_content_1 = app_models_file_1.read()
        # Comparing models.py after certain interval of time
        if filename_content == filename_content_1:
            pass
        else:
            print("You made a change in " + app_name.capitalize() + " filename.\n")
            cmd = str(input("Do something with the file?(y/n):"))
            if cmd == 'y':
                # Do Something
            elif cmd == 'n':
                # pass or do something
            else:
                print("Invalid input")

这是对Tim Goldan脚本的另一种修改，它运行在unix类型上，并通过使用dict (file=>time)为文件修改添加了一个简单的监控器。

用法:whatvername .py path_to_dir_to_watch

#!/usr/bin/env python

import os, sys, time

def files_to_timestamp(path):
    files = [os.path.join(path, f) for f in os.listdir(path)]
    return dict ([(f, os.path.getmtime(f)) for f in files])

if __name__ == "__main__":

    path_to_watch = sys.argv[1]
    print('Watching {}..'.format(path_to_watch))

    before = files_to_timestamp(path_to_watch)

    while 1:
        time.sleep (2)
        after = files_to_timestamp(path_to_watch)

        added = [f for f in after.keys() if not f in before.keys()]
        removed = [f for f in before.keys() if not f in after.keys()]
        modified = []

        for f in before.keys():
            if not f in removed:
                if os.path.getmtime(f) != before.get(f):
                    modified.append(f)

        if added: print('Added: {}'.format(', '.join(added)))
        if removed: print('Removed: {}'.format(', '.join(removed)))
        if modified: print('Modified: {}'.format(', '.join(modified)))

        before = after

我不知道任何Windows特有的函数。您可以尝试每秒钟/分钟/小时获取文件的MD5哈希值(取决于您需要它的速度)，并将其与最后的哈希值进行比较。当它不同时，您知道文件已被更改，并读取最新的行。

我会尝试这样的方法。

    try:
            f = open(filePath)
    except IOError:
            print "No such file: %s" % filePath
            raw_input("Press Enter to close window")
    try:
            lines = f.readlines()
            while True:
                    line = f.readline()
                    try:
                            if not line:
                                    time.sleep(1)
                            else:
                                    functionThatAnalisesTheLine(line)
                    except Exception, e:
                            # handle the exception somehow (for example, log the trace) and raise the same exception again
                            raw_input("Press Enter to close window")
                            raise e
    finally:
            f.close()

循环检查自上次读取文件以来是否有新的行——如果有，则将其读取并传递给functionThatAnalisesTheLine函数。如果不是，脚本等待1秒并重试该进程。