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

对我来说，最简单的解决方法就是使用看门狗的工具watchmedo

从https://pypi.python.org/pypi/watchdog我现在有一个进程，在一个目录中查找sql文件，并在必要时执行它们。

watchmedo shell-command \
--patterns="*.sql" \
--recursive \
--command='~/Desktop/load_files_into_mysql_database.sh' \
.

如果轮询对您来说足够好，我只观察“修改的时间”文件统计是否发生变化。阅读方法:

os.stat(filename).st_mtime

(还要注意，Windows本机更改事件解决方案并不在所有情况下都有效，例如在网络驱动器上。)

import os

class Monkey(object):
    def __init__(self):
        self._cached_stamp = 0
        self.filename = '/path/to/file'

    def ook(self):
        stamp = os.stat(self.filename).st_mtime
        if stamp != self._cached_stamp:
            self._cached_stamp = stamp
            # File has changed, so do something...

看看我对类似问题的回答。您可以在Python中尝试相同的循环。本页建议:

import time

while 1:
    where = file.tell()
    line = file.readline()
    if not line:
        time.sleep(1)
        file.seek(where)
    else:
        print line, # already has newline

还可以使用Python查看文件中的问题tail()。

ACTIONS = {
  1 : "Created",
  2 : "Deleted",
  3 : "Updated",
  4 : "Renamed from something",
  5 : "Renamed to something"
}
FILE_LIST_DIRECTORY = 0x0001

class myThread (threading.Thread):
    def __init__(self, threadID, fileName, directory, origin):
        threading.Thread.__init__(self)
        self.threadID = threadID
        self.fileName = fileName
        self.daemon = True
        self.dir = directory
        self.originalFile = origin
    def run(self):
        startMonitor(self.fileName, self.dir, self.originalFile)

def startMonitor(fileMonitoring,dirPath,originalFile):
    hDir = win32file.CreateFile (
        dirPath,
        FILE_LIST_DIRECTORY,
        win32con.FILE_SHARE_READ | win32con.FILE_SHARE_WRITE,
        None,
        win32con.OPEN_EXISTING,
        win32con.FILE_FLAG_BACKUP_SEMANTICS,
        None
    )
    # Wait for new data and call ProcessNewData for each new chunk that's
    # written
    while 1:
        # Wait for a change to occur
        results = win32file.ReadDirectoryChangesW (
            hDir,
            1024,
            False,
            win32con.FILE_NOTIFY_CHANGE_LAST_WRITE,
            None,
            None
        )
        # For each change, check to see if it's updating the file we're
        # interested in
        for action, file_M in results:
            full_filename = os.path.join (dirPath, file_M)
            #print file, ACTIONS.get (action, "Unknown")
            if len(full_filename) == len(fileMonitoring) and action == 3:
                #copy to main file
                ...

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。