使用multiprocess.Pool同时运行2个瓶子应用程序

我遇到的情况是,我需要同时运行两个应用程序(在不同的端口上)。我知道这可能不是最好的想法/设计,但请容忍我。

主要问题是 bottle.run 这是阻塞。显而易见的解决办法是使用 multiprocessing.Pool ,但我想这不是很明显。

from multiprocessing import Pool
import bottle

app = bottle.Bottle()

@app.route('/')
def index():
    return 'hi'


def run_app(port):
    bottle.run(port=port)


if __name__ == '__main__':
    pool = Pool(2)

    ps = [pool.apply_async(run_app, (port,))
          for port in (8081, 8082)]

    [p.get() for p in ps]  # YES, using a list comp for side-effect

输出为

Bottle v0.12.15 server starting up (using WSGIRefServer())...
Listening on http://127.0.0.1:8081/
Hit Ctrl-C to quit.

Bottle v0.12.15 server starting up (using WSGIRefServer())...
Listening on http://127.0.0.1:8082/
Hit Ctrl-C to quit.

然而,尝试使用两个不同的应用程序是行不通的。

from multiprocessing import Pool
import bottle

app1 = bottle.Bottle()
app2 = bottle.Bottle()
apps = [app1, app2]


@app1.route('/')
def index_app1():
    return 'app1'


@app2.route('/')
def index_app2():
    return 'app2'


def run_app(app, port):
    bottle.run(app, port=port)


if __name__ == '__main__':
    pool = Pool(2)

    ps = [pool.apply_async(run_app, (app, port))
          for app, port in zip(apps, [8081, 8082])]

    [p.get() for p in ps]

这个输出

Traceback (most recent call last):
  File "test.py", line 29, in <module>
    [p.get() for p in ps]
  File "test.py", line 29, in <listcomp>
    [p.get() for p in ps]
  File "D:\Python37\Lib\multiprocessing\pool.py", line 657, in get
    raise self._value
  File "D:\Python37\Lib\multiprocessing\pool.py", line 431, in _handle_tasks
    put(task)
  File "D:\Python37\Lib\multiprocessing\connection.py", line 206, in send
    self._send_bytes(_ForkingPickler.dumps(obj))
  File "D:\Python37\Lib\multiprocessing\reduction.py", line 51, in dumps
    cls(buf, protocol).dump(obj)
AttributeError: Can't pickle local object 'ConfigDict.__init__.<locals>.<lambda>'

更新

将第一个示例更改为:

.
.
.

def run_app(app, port):
    # instead of bottle.run(port=port) which uses default_app()
    app.run(port=port) # or bottle.run(app=app, port=port)
.
.
.
ps = [pool.apply_async(run_app, (app, port))
      for port in (8081, 8082)]

也会导致相同的错误