upstream/ipython Files · IPython/quarantine/ipy_server.py

Merge pull request from minrk/datapub...

Merge pull request from minrk/datapub add data publication message Functions just like displaypub, but sends a namespace of actual data instead of representations. This uses the serialization/zero-copy machinery of the parallel code. The current interpretation of a sequence of data publications within a cell is updates of a single namespace. That is, a series of calls to publish_data(dict(A=...)) during a given cell will result in a single dict with the latest value of A, updated in-place. An alternate interpretation could be to keep appending to a list, but I expect the current update approach to be preferable. Changes along the way: AsyncResults no longer protect metadata access while results are pending. This was an artificial limitation, and impedes informed access of incomplete metadata, which actually works just fine.

Bernardo B. Marques - - Load All Authors

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      """ Simple TCP socket server that executes statements in IPython instance.

      Usage:

      import ipy_server

      ipy_server.serve_thread(16455)

      Now, to execute the statements in this ipython instance, open a TCP socket

      (port 16455), write out the statements, and close the socket.

      You can use e.g. "telnet localhost 16455" or a script to do this.

      This is a bit like 'M-x server-start" or gnuserv in the emacs world.

      """

      from IPython.core import ipapi

      ip = ipapi.get()

      import SocketServer

      # user-accessible port

      PORT = 8099

      class IPythonRequestHandler(SocketServer.StreamRequestHandler):

          def handle(self):

              #print "connection from", self.client_address

              inp = self.rfile.read().replace('\r\n','\n')

              #print "Execute",inp

              ip.runlines(inp)

      def serve(port = PORT):

          server = SocketServer.TCPServer(("", port), IPythonRequestHandler)

          print "ipy_server on TCP port", port

          server.serve_forever()

      def serve_thread(port = PORT):

          import thread

          thread.start_new_thread(serve, (port,))

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				""" Simple TCP socket server that executes statements in IPython instance.

				Usage:

				import ipy_server
				ipy_server.serve_thread(16455)

				Now, to execute the statements in this ipython instance, open a TCP socket
				(port 16455), write out the statements, and close the socket.
				You can use e.g. "telnet localhost 16455" or a script to do this.

				This is a bit like 'M-x server-start" or gnuserv in the emacs world.

				"""

				from IPython.core import ipapi
				ip = ipapi.get()

				import SocketServer

				# user-accessible port
				PORT = 8099

				class IPythonRequestHandler(SocketServer.StreamRequestHandler):
				def handle(self):
				#print "connection from", self.client_address
				inp = self.rfile.read().replace('\r\n','\n')
				#print "Execute",inp
				ip.runlines(inp)

				def serve(port = PORT):
				server = SocketServer.TCPServer(("", port), IPythonRequestHandler)
				print "ipy_server on TCP port", port
				server.serve_forever()

				def serve_thread(port = PORT):
				import thread
				thread.start_new_thread(serve, (port,))