[英]Use tornado async code in a regular python script
我有一些使用tornado gen.coroutine
异步函数,我通常将其用作基于龙卷风的Web应用程序的一部分。 但是,我想从一个普通的旧python脚本中调用它们中的一些来执行一些管理任务。 我该怎么做呢?
from tornado import gen
import some_internal_stuff
@gen.coroutine
def myfunc(x):
y = yield some_internal_stuff.another_async_func(x)
raise gen.Return(y)
if __name__ == "__main__":
# What do I put here to call myfunc(1) and get the async return value?
pass
更新:
一个更具体的例子:
from tornado import gen
@gen.coroutine
def another_async_func(x):
print "aaf"
raise gen.Return(x + 1)
@gen.coroutine
def myfunc(x):
print "myfunc"
y = yield another_async_func(x)
print "back"
raise gen.Return(y)
def callback(y):
print "Callback called with %d" % y
if __name__ == "__main__":
myfunc(1, callback=callback)
运行此输出:
myfunc
aaf
有一个内置的方法run_sync
在IOLoop
运行一个单一的呼叫,然后停止循环,所以它是非常容易的,只是添加事件循环,只要你有在PYTHONPATH龙卷风纯python脚本。
通过具体的例子:
from tornado import gen, ioloop
@gen.coroutine
def another_async_func(x):
print "aaf"
raise gen.Return(x + 1)
@gen.coroutine
def myfunc(x):
print "myfunc"
y = yield another_async_func(x)
print "back"
raise gen.Return(y)
@gen.coroutine
def main():
y = yield myfunc(1)
print "Callback called with %d" % y
if __name__ == "__main__":
ioloop.IOLoop.instance().run_sync(main)
这输出:
myfunc
aaf
back
Callback called with 2
请注意, run_sync
不能很好地嵌套; 如果你打电话run_sync
在被调用的函数run_sync
在同一IOLoop
内调用完成将停止IOLoop
并没有进一步的yield
内部调用返回后秒。
这是使用线程的另一种可能性,它可以根据问题的复杂性和您的需求而工作:
if __name__ == "__main__":
import threading, time
# The tornado IO loop doesn't need to be started in the main thread
# so let's start it in another thread:
t = threading.Thread(target=IOLoop.instance().start)
t.daemon = True
t.start()
myfunc(1, callback=callback)
# now the main loop needs wait; you can do that by polling a value, sleeping,
# or waiting on a lock. I've chosen to sleep here, but a lock is probably more
# appropriate; and, once computation is done, release the lock.
time.sleep(2)
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