以下代码允许您修改runtime.py运行时的内容.换句话说,您不必中断runner.py.
#runner.py
import time
import imp
def main():
while True:
mod = imp.load_source("runtime", "./runtime.py")
mod.function()
time.sleep(1)
if __name__ == "__main__":
main()
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在运行时导入的模块是:
# runtime.py
def function():
print("I am version one of runtime.py")
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这种原始机制允许您"如何交换"Python代码(la Erlang).还有更好的选择吗?
请注意,这只是一个学术问题,因为我没有必要做这样的事情.但是,我有兴趣了解有关Python运行时的更多信息.
编辑:
我创建了以下解决方案:一个Engine对象提供了一个模块中包含的函数的接口(在这种情况下,模块被调用engine.py).该Engine对象还生成一个线程,用于监视源文件中的更改,如果检测到更改,则会调用notify()引擎上的方法,该方法会重新加载源文件.
在我的实现中,更改检测基于每秒frequency检查文件的SHA1校验和的轮询,但是其他实现也是可能的.
在此示例中,检测到的每个更改都会记录到已调用hotswap.log校验和的文件中.
用于检测改变的其他机制可以是服务器或使用inotify中的Monitor线程.
import imp
import time
import hashlib
import threading
import logging
logger = logging.getLogger("")
class MonitorThread(threading.Thread):
def __init__(self, engine, frequency=1):
super(MonitorThread, self).__init__()
self.engine = engine
self.frequency = frequency
# daemonize the thread so that it ends with the master program
self.daemon = True
def run(self):
while True:
with open(self.engine.source, "rb") as fp:
fingerprint = hashlib.sha1(fp.read()).hexdigest()
if not fingerprint == self.engine.fingerprint:
self.engine.notify(fingerprint)
time.sleep(self.frequency)
class Engine(object):
def __init__(self, source):
# store the path to the engine source
self.source = source
# load the module for the first time and create a fingerprint
# for the file
self.mod = imp.load_source("source", self.source)
with open(self.source, "rb") as fp:
self.fingerprint = hashlib.sha1(fp.read()).hexdigest()
# turn on monitoring thread
monitor = MonitorThread(self)
monitor.start()
def notify(self, fingerprint):
logger.info("received notification of fingerprint change ({0})".\
format(fingerprint))
self.fingerprint = fingerprint
self.mod = imp.load_source("source", self.source)
def __getattr__(self, attr):
return getattr(self.mod, attr)
def main():
logging.basicConfig(level=logging.INFO,
filename="hotswap.log")
engine = Engine("engine.py")
# this silly loop is a sample of how the program can be running in
# one thread and the monitoring is performed in another.
while True:
engine.f1()
engine.f2()
time.sleep(1)
if __name__ == "__main__":
main()
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该engine.py文件中:
# this is "engine.py"
def f1():
print("call to f1")
def f2():
print("call to f2")
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记录样本:
INFO:root:received notification of fingerprint change (be1c56097992e2a414e94c98cd6a88d162c96956)
INFO:root:received notification of fingerprint change (dcb434869aa94897529d365803bf2b48be665897)
INFO:root:received notification of fingerprint change (36a0a4b20ee9ca6901842a30aab5eb52796649bd)
INFO:root:received notification of fingerprint change (2e96b05bbb8dbe8716c4dd37b74e9f58c6a925f2)
INFO:root:received notification of fingerprint change (baac96c2d37f169536c8c20fe5935c197425ed40)
INFO:root:received notification of fingerprint change (be1c56097992e2a414e94c98cd6a88d162c96956)
INFO:root:received notification of fingerprint change (dcb434869aa94897529d365803bf2b48be665897)
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再次 - 这是一个学术讨论,因为我现在不需要热插拔Python代码.但是,我喜欢能够理解一点运行时并意识到什么是可能的,什么不是.请注意,如果模块未成功加载,则加载机制可以在使用资源时添加锁,并进行异常处理.
评论?
您可以轮询runtime.py文件,等待它更改.一旦改变,只需打电话
reload(runtime)
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每次我调试python模块时,我都会在交互式python命令提示符中使用这种方法(除了我手动调用reload(),我不会轮询任何东西).
编辑:要检测文件中的更改,请查看此SO问题.轮询可能是最可靠的选项,但我只会在更新修改时间时重新加载文件,而不是在每次轮询时重新加载它.您还应该考虑在重新加载时捕获异常,尤其是语法错误.您可能会遇到也可能不会遇到线程安全问题.
globe = __import__('copy').copy(globals())
while True:
with open('runtime.py', 'r') as mod:
exec mod in globe
__import__('time').sleep(1)
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runtime.py将使用几乎未污染的globals()和 no重复读取和运行locals(),并且不会污染全局范围,但所有运行时的命名空间都将在globe