我创建了龙卷风服务器，它接受python和matlab代码并执行它。这是服务器代码。
from zmq.eventloop.zmqstream import ZMQStream
from zmq.eventloop import ioloop
ioloop.install()
from functools import partial
from tornado import web, gen, escape
from tornado import options, httpserver
from tornado.concurrent import Future
settings = dict()
settings['autoreload'] = True
settings['debug'] = True
from jupyter_client import MultiKernelManager
reply_futures = {}
kids = []
class MainHandler(web.RequestHandler):
def get(self):
self.write("Hello")
class ExecuteHandler(web.RequestHandler):
def get(self):
self.write("approaching execute")
def post(self):
data = escape.json_decode(self.request.body)
print data
self.application.execute_code(data)
class Application(web.Application):
def __init__(self):
handlers = []
handlers.append((r"/", MainHandler))
handlers.append((r"/execute", ExecuteHandler))
web.Application.__init__(self, handlers, **settings)
self.km = MultiKernelManager()
self.setup_kernels()
def setup_kernels(self):
matlab_kernel_id = self.km.start_kernel(kernel_name="matlab")
python_kernel_id = self.km.start_kernel(kernel_name="python")
self.matlab_kernel_id = matlab_kernel_id
self.python_kernel_id = python_kernel_id
matkab_kernel_client = self.km.get_kernel(matlab_kernel_id).client()
matkab_kernel_client.start_channels()
python_kernel_client = self.km.get_kernel(python_kernel_id).client()
python_kernel_client.start_channels()
self.matkab_kernel_client = matkab_kernel_client
self.python_kernel_client = python_kernel_client
matlab_iopub_stream = ZMQStream(matkab_kernel_client.iopub_channel.socket)
matlab_shell_stream = ZMQStream(matkab_kernel_client.shell_channel.socket)
python_iopub_stream = ZMQStream(python_kernel_client.iopub_channel.socket)
python_shell_stream = ZMQStream(python_kernel_client.shell_channel.socket)
matlab_iopub_stream.on_recv_stream(partial(self.reply_callback, matkab_kernel_client.session))
matlab_shell_stream.on_recv_stream(partial(self.reply_callback, matkab_kernel_client.session))
python_iopub_stream.on_recv_stream(partial(self.reply_callback, python_kernel_client.session))
python_shell_stream.on_recv_stream(partial(self.reply_callback, python_kernel_client.session))
def reply_callback(self, session, stream, msg_list):
idents, msg_parts = session.feed_identities(msg_list)
reply = session.deserialize(msg_parts)
if "stream" == reply["msg_type"]:
print reply["content"]["text"]
parent_id = reply['parent_header'].get('msg_id')
reply_future = reply_futures.get(parent_id)
if reply_future:
reply_future.set_result(reply)
def execute_code(self, data):
matlab_code = data['matlab_code']
python_code = data['python_code']
self.execute_matlab_then_python(matlab_code, python_code)
@gen.coroutine
def execute_matlab_then_python(self, matlab_code, python_code):
print "executing matlab code"
parent_id1 = self.matkab_kernel_client.execute(matlab_code)
f1 = reply_futures[parent_id1] = Future()
yield f1
print "executing python code"
parent_id2 = self.python_kernel_client.execute(python_code)
f2 = reply_futures[parent_id2] = Future()
yield f2
def shutdown_kernels(self):
self.km.get_kernel(self.matlab_kernel_id).cleanup_connection_file()
self.km.shutdown_kernel(self.matlab_kernel_id)
self.km.get_kernel(self.python_kernel_id).cleanup_connection_file()
self.km.shutdown_kernel(self.python_kernel_id)
if __name__ == '__main__':
options.parse_command_line()
app = Application()
server = httpserver.HTTPServer(app)
server.listen(8888)
try:
ioloop.IOLoop.current().start()
except KeyboardInterrupt:
print 'going down'
finally:
app.shutdown_kernels()
我用来访问的客户端代码是
import json
import requests
matlab_code = "a=magic(3);disp(a)"
python_code = "print 'Hello World!!'"
data = {}
data['matlab_code'] = matlab_code
data['python_code'] = python_code
r = requests.post('http://0.0.0.0:8888/execute', json.dumps(data))
我担心的是维持执行的顺序，这样只有在matlab完成后才能执行python代码。我正在使用jupyter_client来执行matlab / python代码。我在这里使用python27。问题是，当我提交代码时，它会抛出TypeError: 'NoneType' object is not iterable。这是一个堆栈跟踪它。
[E 160809 15:17:51 ioloop:633] Exception in callback None
Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/tornado/ioloop.py", line 887, in start
handler_func(fd_obj, events)
File "/usr/local/lib/python2.7/dist-packages/tornado/stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/tornado/stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 191, in
self.on_recv(lambda msg: callback(self, msg), copy=copy)
File "tornado_test.py", line 86, in reply_callback
reply_future.set_result(reply)
File "/usr/local/lib/python2.7/dist-packages/tornado/concurrent.py", line 276, in set_result
self._set_done()
File "/usr/local/lib/python2.7/dist-packages/tornado/concurrent.py", line 320, in _set_done
for cb in self._callbacks:
TypeError: 'NoneType' object is not iterable
我不明白这里有什么问题？
答案 0 :(得分：2)
不幸的含义错误消息＆＃34;＆＃39; NoneType＆＃39;对象不可迭代＆＃34;表示您在同一个set_result对象上多次调用Future。我不太了解zmq或jupyter内核接口，但我的猜测是两个不同内核的execute方法返回的ID重叠，或者你得到的不仅仅是每次执行调用一次响应（来自两个不同的流？）。