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Backport PR #2384: Adapt inline backend to changes in matplotlib...
Backport PR #2384: Adapt inline backend to changes in matplotlib Matplotlib recently merged https://github.com/matplotlib/matplotlib/pull/1125 that makes it simpler to use objective oriented figure creation by automatically creating the right canvas for the backend. To solve that all backends must provide a backend_xxx.FigureCanvas. This is obviosly missing from the inline backend. The change is needed to make the inline backend work with mpl's 1.2.x branch which is due to released soon. Simply setting the default canvas equal to a Agg canvas appears to work for both svg and png figures but I'm not sure weather that is the right approach. Should the canvas depend on the figure format and provide a svg canvas for a svg figure? (Note that before this change to matplotlib the canvas from a plt.figure call seams to be a agg type in all cases) Edit: I made the pull request against 0.13.1 since it would be good to have this in the stable branch for when mpl is released. Just let me know and I can rebase it against master

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zmqhttp.py
96 lines | 2.8 KiB | text/x-python | PythonLexer
"""Unfinished code for ZMQ/HTTP bridging. We use WebSockets instead.
Authors:
* Brian Granger
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
import json
import logging
from tornado import web
#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------
class ZMQHandler(web.RequestHandler):
def get_stream(self):
"""Get the ZMQStream for this request."""
raise NotImplementedError('Implement get_stream() in a subclass.')
def _save_method_args(self, *args, **kwargs):
"""Save the args and kwargs to get/post/put/delete for future use.
These arguments are not saved in the request or handler objects, but
are often needed by methods such as get_stream().
"""
self._method_args = args
self._method_kwargs = kwargs
def _handle_msgs(self, msg):
msgs = [msg]
stream = self.get_stream()
stream.on_recv(lambda m: msgs.append(json.loads(m)))
stream.flush()
stream.stop_on_recv()
logging.info("Reply: %r" % msgs)
self.write(json.dumps(msgs))
self.finish()
class ZMQPubHandler(ZMQHandler):
SUPPORTED_METHODS = ("POST",)
def post(self, *args, **kwargs):
self._save_method_args(*args, **kwargs)
try:
msg = json.loads(self.request.body)
except:
self.send_error(status_code=415)
else:
logging.info("Request: %r" % msg)
self.get_stream().send_json(msg)
class ZMQSubHandler(ZMQHandler):
SUPPORTED_METHODS = ("GET",)
@web.asynchronous
def get(self, *args, **kwargs):
self._save_method_args(*args, **kwargs)
self.get_stream().on_recv(self._handle_msgs)
class ZMQDealerHandler(ZMQHandler):
SUPPORTED_METHODS = ("POST",)
@web.asynchronous
def post(self, *args, **kwargs):
self._save_method_args(*args, **kwargs)
logging.info("request: %r" % self.request)
try:
msg = json.loads(self.request.body)
except:
self.send_error(status_code=415)
else:
logging.info("Reply: %r" % msg)
stream = self.get_stream()
stream.send_json(msg)
stream.on_recv(self._handle_msgs)