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。

相关@4Oh4解决方案一个流畅的更改文件列表观看;

import os
import sys
import time

class Watcher(object):
    running = True
    refresh_delay_secs = 1

    # Constructor
    def __init__(self, watch_files, call_func_on_change=None, *args, **kwargs):
        self._cached_stamp = 0
        self._cached_stamp_files = {}
        self.filenames = watch_files
        self.call_func_on_change = call_func_on_change
        self.args = args
        self.kwargs = kwargs

    # Look for changes
    def look(self):
        for file in self.filenames:
            stamp = os.stat(file).st_mtime
            if not file in self._cached_stamp_files:
                self._cached_stamp_files[file] = 0
            if stamp != self._cached_stamp_files[file]:
                self._cached_stamp_files[file] = stamp
                # File has changed, so do something...
                file_to_read = open(file, 'r')
                value = file_to_read.read()
                print("value from file", value)
                file_to_read.seek(0)
                if self.call_func_on_change is not None:
                    self.call_func_on_change(*self.args, **self.kwargs)

    # Keep watching in a loop
    def watch(self):
        while self.running:
            try:
                # Look for changes
                time.sleep(self.refresh_delay_secs)
                self.look()
            except KeyboardInterrupt:
                print('\nDone')
                break
            except FileNotFoundError:
                # Action on file not found
                pass
            except Exception as e:
                print(e)
                print('Unhandled error: %s' % sys.exc_info()[0])

# Call this function each time a change happens
def custom_action(text):
    print(text)
    # pass

watch_files = ['/Users/mexekanez/my_file.txt', '/Users/mexekanez/my_file1.txt']

# watcher = Watcher(watch_file)  # simple



if __name__ == "__main__":
    watcher = Watcher(watch_files, custom_action, text='yes, changed')  # also call custom action function
    watcher.watch()  # start the watch going

好吧，因为你在使用Python，你可以打开一个文件，并继续从它读取行。

f = open('file.log')

如果读取的行不是空的，则处理它。

line = f.readline()
if line:
    // Do what you want with the line

您可能忽略了在EOF中继续调用readline是可以的。在这种情况下，它会一直返回空字符串。当将某些内容追加到日志文件时，将根据需要从它停止的地方继续读取。

如果您正在寻找使用事件或特定库的解决方案，请在您的问题中指定。否则，我认为这个解决方案就可以了。

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。

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。