1、初始版本：
思路：定时器，说白了就是延时执行指定的程序，目前自己重构python里面的定时器不太现实，能力达不到，所以延时操作时还得用到系统定时器，不过我们可以改一下规则；把所有要进行定时操作的程序添加到特定列表中，把列表中定时时间最短程序拿出来，进行threading.Timer（time，callback）绑定，等时间超时触发自定义的callback，执行刚刚列表取出的程序；然后把时间更新，再次把列表中时间最短的程序拿出了，继续threading.Timer绑定，不断的迭代循环；当有新的定时任务加入到列表时，把当前的threading.Timer绑定取消，更新列表中的时间，再次取出最短时间，进行threading.Timer绑定......
代码：
import threading
import time
class Timer():
'''单线程下的定时器'''
def __init__(self):
self.queues = []
self.timer = None
self.last_time = time.time()
def start(self):
item = self.get()
if item:
self.timer = threading.Timer(item[0],self.execute)
self.timer.start()
def add(self,item):
print('add',item)
self.flush_time()
self.queues.append(item)
self.queues.sort(key=lambda x:x[0])
if self.timer:
self.timer.cancel()
self.timer = None
self.start()
def get(self):
item = None
if len(self.queues) > 0:
item = self.queues[0]
return item
def pop(self):
item = None
if len(self.queues) > 0:
item = self.queues.pop(0)
return item
def flush_time(self):
curr_time = time.time()
for i in self.queues:
i[0] = i[0] - (curr_time - self.last_time)
self.last_time = curr_time
def execute(self):
# if self.timer:
# self.timer.cancel()
# self.timer = None
item = self.pop()
self.flush_time()
if item:
callback = item[1]
args = item[0]
callback(args)
self.start()执行及输出：
if __name__ == '__main__': # 检测线程数
def func(): while True: print(threading.active_count())
time.sleep(1)
f1 = threading.Thread(target=func)
f1.start()
import logging
logging.basicConfig(level=logging.INFO,format="%(asctime)s %(message)s", datefmt="%m/%d/%Y %H:%M:%S [%A]") def func1(*args):
logging.info('func1 %s'%args) # time.sleep(5)
def func2(*args):
logging.info('func2 %s' % args) # time.sleep(5)
def func3(*args):
logging.info('func3 %s' % args) # time.sleep(5)
def func4(*args):
logging.info('func4 %s' % args) # time.sleep(5)
def func5(*args):
logging.info('func5 %s' % args) # time.sleep(5)
# 测试
t1 = Timer()
logging.info('start')
t1.add([5,func1])
time.sleep(0.5)
t1.add([4,func2])
time.sleep(0.5)
t1.add([3,func3])
time.sleep(0.5)
t1.add([2,func4])
time.sleep(0.5)
t1.add([1,func5])
time.sleep(5)
t1.add([1,func1])
t1.add([2,func2])
t1.add([3,func3])
t1.add([4,func4])
t1.add([5,func5])
# 输出
# 2
# 07/27/2017 10:36:47 [Thursday] start
# add [5, <function func1 at 0x000000D79FC77E18>]
# add [4, <function func2 at 0x000000D79FCA8488>]
# 3
# add [3, <function func3 at 0x000000D79FCA8510>]
# add [2, <function func4 at 0x000000D79FCA8598>]
# 3
# add [1, <function func5 at 0x000000D79FCA8620>]
# 3
# 07/27/2017 10:36:50 [Thursday] func5 1
# 07/27/2017 10:36:51 [Thursday] func4 0.498349666595459
# 3
# 07/27/2017 10:36:51 [Thursday] func3 0.49782633781433105
# 07/27/2017 10:36:52 [Thursday] func2 0.49848270416259766
# 3
# 07/27/2017 10:36:52 [Thursday] func1 0.48449039459228516
# 2
# 2
# add [1, <function func1 at 0x000000D79FC77E18>]
# add [2, <function func2 at 0x000000D79FCA8488>]
# add [3, <function func3 at 0x000000D79FCA8510>]
# add [4, <function func4 at 0x000000D79FCA8598>]
# add [5, <function func5 at 0x000000D79FCA8620>]
# 3
# 07/27/2017 10:36:55 [Thursday] func1 0.9990766048431396
# 3
# 07/27/2017 10:36:56 [Thursday] func2 0.9988017082214355
# 3
# 07/27/2017 10:36:57 [Thursday] func3 0.99928879737854
# 07/27/2017 10:36:58 [Thursday] func4 0.9991350173950195
# 3
# 3
# 07/27/2017 10:36:59 [Thursday] func5 0.9988160133361816执行代码
注：查看代码输出，所有的定时器都按照标定的时间依次执行，非常完美，一切看起来很美好，只是看起来，呵呵哒，当你把func里面的time.sleep(5)启用后，线程数蹭蹭的上来了;原因是上个定时器callback还是执行中，下个定时器已经启动了，这时就又新增了一个线程，哎,失败
2、修订版本
思路：利用生成者消费者模型,用到threading.Condition条件变量；强制永远启用的是一个Timer!
代码：
import time
import threading
import logging
class NewTimer(threading.Thread):
'''单线程下的定时器'''
def __init__(self):
super().__init__()
self.queues = []
self.timer = None
self.cond = threading.Condition()
def run(self):
while True:
# print('NewTimer',self.queues)
self.cond.acquire()
item = self.get()
callback = None
if not item:
logging.info('NewTimer wait')
self.cond.wait()
elif item[0] <= time.time():
new_item = self.pop()
callback = new_item[1]
else:
logging.info('NewTimer start sys timer and wait')
self.timer = threading.Timer(item[0]-time.time(),self.execute)
self.timer.start()
self.cond.wait()
self.cond.release()
if callback:
callback(item[0])
def add(self, item):
# print('add', item)
self.cond.acquire()
item[0] = item[0] + time.time()
self.queues.append(item)
self.queues.sort(key=lambda x: x[0])
logging.info('NewTimer add notify')
if self.timer:
self.timer.cancel()
self.timer = None
self.cond.notify()
self.cond.release()
def pop(self):
item = None
if len(self.queues) > 0:
item = self.queues.pop(0)
return item
def get(self):
item = None
if len(self.queues) > 0:
item = self.queues[0]
return item
def execute(self):
logging.info('NewTimer execute notify')
self.cond.acquire()
self.cond.notify()
self.cond.release()执行及输出：
if __name__ == '__main__': def func(): while True: print(threading.active_count())
time.sleep(1)
f1 = threading.Thread(target=func)
f1.start()
logging.basicConfig(level=logging.INFO,format="%(asctime)s %(message)s", datefmt="%m/%d/%Y %H:%M:%S [%A]")
newtimer = NewTimer()
newtimer.start() def func1(*args):
logging.info('func1 %s'%args)
time.sleep(5) def func2(*args):
logging.info('func2 %s' % args)
time.sleep(5) def func3(*args):
logging.info('func3 %s' % args)
time.sleep(5) def func4(*args):
logging.info('func4 %s' % args)
time.sleep(5) def func5(*args):
logging.info('func5 %s' % args)
time.sleep(5)
newtimer.add([5,func1])
newtimer.add([4,func2])
newtimer.add([3,func3])
newtimer.add([2,func4])
newtimer.add([1,func5])
time.sleep(1)
newtimer.add([1,func1])
newtimer.add([2,func2])
newtimer.add([3,func3])
newtimer.add([4,func4])
newtimer.add([5,func5])# 输出# 2# 07/27/2017 11:26:19 [Thursday] NewTimer wait# 07/27/2017 11:26:19 [Thursday] NewTimer add notify# 07/27/2017 11:26:19 [Thursday] NewTimer add notify# 07/27/2017 11:26:19 [Thursday] NewTimer add notify# 07/27/2017 11:26:19 [Thursday] NewTimer add notify# 07/27/2017 11:26:19 [Thursday] NewTimer add notify# 07/27/2017 11:26:19 [Thursday] NewTimer start sys timer and wait# 07/27/2017 11:26:20 [Thursday] NewTimer execute notify# 4# 07/27/2017 11:26:20 [Thursday] func5 1501125980.2175007# 07/27/2017 11:26:20 [Thursday] NewTimer add notify# 07/27/2017 11:26:20 [Thursday] NewTimer add notify# 07/27/2017 11:26:20 [Thursday] NewTimer add notify# 07/27/2017 11:26:20 [Thursday] NewTimer add notify# 07/27/2017 11:26:20 [Thursday] NewTimer add notify# 3# 3# 3# 3# 3# 07/27/2017 11:26:25 [Thursday] func4 1501125981.2175007# 3# 3# 3# 3# 07/27/2017 11:26:30 [Thursday] func1 1501125981.218279# 3# 3# 3# 3# 3# 3# 07/27/2017 11:26:35 [Thursday] func3 1501125982.2175007# 3# 3# 3# 3# 07/27/2017 11:26:40 [Thursday] func2 1501125982.218279# 3# 3# 3# 3# 3# 07/27/2017 11:26:45 [Thursday] func2 1501125983.2175007# 3# 3# 3# 3# 3# 07/27/2017 11:26:50 [Thursday] func3 1501125983.218279# 3# 3# 3# 3# 3# 07/27/2017 11:26:55 [Thursday] func1 1501125984.2175007# 3# 3# 3# 3# 3# 07/27/2017 11:27:00 [Thursday] func4 1501125984.218279# 3# 3# 3# 3# 3# 07/27/2017 11:27:05 [Thursday] func5 1501125985.218279# 3# 3# 3# 3# 3# 07/27/2017 11:27:10 [Thursday] NewTimer wait输出
注：这次无论如何测试线程数也不会蹭蹭的上涨，同时可以实现多定时器任务要求；缺点：用到了两线程，没有用到单线程去实现，第二时间精准度问题，需要等待上个定时程序执行完毕，程序才能继续运行
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