236 lines
8.1 KiB
Plaintext
236 lines
8.1 KiB
Plaintext
==========
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py.execnet
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==========
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``py.execnet`` allows to:
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* instantiate local or remote Python Processes
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* send code for execution in one or many processes
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* asynchronously send and receive data between processes through channels
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* completely avoid manual installation steps on remote places
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Gateways: immediately spawn local or remote process
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===================================================
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In order to send code to a remote place or a subprocess
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you need to instantiate a so-called Gateway object.
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There are currently three Gateway classes:
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* :api:`py.execnet.PopenGateway` to open a subprocess
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on the local machine. Useful for making use
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of multiple processors to to contain code execution
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in a separated environment.
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* :api:`py.execnet.SshGateway` to connect to
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a remote ssh server and distribute execution to it.
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* :api:`py.execnet.SocketGateway` a way to connect to
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a remote Socket based server. *Note* that this method
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requires a manually started
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:source:py/execnet/script/socketserver.py
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script. You can run this "server script" without
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having the py lib installed on the remote system
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and you can setup it up as permanent service.
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remote_exec: execute source code remotely
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===================================================
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All gateways offer remote code execution via this high level function::
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def remote_exec(source):
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"""return channel object for communicating with the asynchronously
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executing 'source' code which will have a corresponding 'channel'
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object in its executing namespace."""
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With `remote_exec` you send source code to the other
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side and get both a local and a remote Channel_ object,
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which you can use to have the local and remote site
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communicate data in a structured way. Here is
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an example for reading the PID::
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>>> import py
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>>> gw = py.execnet.PopenGateway()
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>>> channel = gw.remote_exec("""
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... import os
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... channel.send(os.getpid())
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... """)
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>>> remote_pid = channel.receive()
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>>> remote_pid != py.std.os.getpid()
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True
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.. _`Channel`:
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.. _`channel-api`:
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.. _`exchange data`:
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Channels: bidirectionally exchange data between hosts
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=======================================================
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A channel object allows to send and receive data between
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two asynchronously running programs. When calling
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`remote_exec` you will get a channel object back and
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the code fragment running on the other side will
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see a channel object in its global namespace.
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Here is the interface of channel objects::
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#
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# API for sending and receiving anonymous values
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#
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channel.send(item):
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sends the given item to the other side of the channel,
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possibly blocking if the sender queue is full.
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Note that items need to be marshallable (all basic
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python types are).
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channel.receive():
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receives an item that was sent from the other side,
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possibly blocking if there is none.
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Note that exceptions from the other side will be
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reraised as gateway.RemoteError exceptions containing
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a textual representation of the remote traceback.
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channel.waitclose(timeout=None):
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wait until this channel is closed. Note that a closed
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channel may still hold items that will be received or
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send. Note that exceptions from the other side will be
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reraised as gateway.RemoteError exceptions containing
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a textual representation of the remote traceback.
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channel.close():
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close this channel on both the local and the remote side.
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A remote side blocking on receive() on this channel
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will get woken up and see an EOFError exception.
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.. _xspec:
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XSpec: string specification for gateway type and configuration
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===============================================================
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``py.execnet`` supports a simple extensible format for
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specifying and configuring Gateways for remote execution.
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You can use a string specification to instantiate a new gateway,
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for example a new SshGateway::
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gateway = py.execnet.makegateway("ssh=myhost")
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Let's look at some examples for valid specifications.
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Specification for an ssh connection to `wyvern`, running on python2.4 in the (newly created) 'mycache' subdirectory::
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ssh=wyvern//python=python2.4//chdir=mycache
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Specification of a python2.5 subprocess; with a low CPU priority ("nice" level). Current dir will be the current dir of the instantiator (that's true for all 'popen' specifications unless they specify 'chdir')::
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popen//python=2.5//nice=20
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Specification of a Python Socket server process that listens on 192.168.1.4:8888; current dir will be the 'pyexecnet-cache' sub directory which is used a default for all remote processes::
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socket=192.168.1.4:8888
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More generally, a specification string has this general format::
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key1=value1//key2=value2//key3=value3
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If you omit a value, a boolean true value is assumed. Currently
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the following key/values are supported:
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* ``popen`` for a PopenGateway
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* ``ssh=host`` for a SshGateway
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* ``socket=address:port`` for a SocketGateway
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* ``python=executable`` for specifying Python executables
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* ``chdir=path`` change remote working dir to given relative or absolute path
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* ``nice=value`` decrease remote nice level if platforms supports it
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Examples of py.execnet usage
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===============================================================
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Compare cwd() of Popen Gateways
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----------------------------------------
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A PopenGateway has the same working directory as the instantiatior::
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>>> import py, os
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>>> gw = py.execnet.PopenGateway()
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>>> ch = gw.remote_exec("import os; channel.send(os.getcwd())")
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>>> res = ch.receive()
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>>> assert res == os.getcwd()
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>>> gw.exit()
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Synchronously receive results from two sub processes
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-----------------------------------------------------
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Use MultiChannels for receiving multiple results from remote code::
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>>> import py
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>>> ch1 = py.execnet.PopenGateway().remote_exec("channel.send(1)")
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>>> ch2 = py.execnet.PopenGateway().remote_exec("channel.send(2)")
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>>> mch = py.execnet.MultiChannel([ch1, ch2])
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>>> l = mch.receive_each()
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>>> assert len(l) == 2
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>>> assert 1 in l
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>>> assert 2 in l
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Asynchronously receive results from two sub processes
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-----------------------------------------------------
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Use ``MultiChannel.make_receive_queue()`` for asynchronously receiving
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multiple results from remote code. This standard Queue provides
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``(channel, result)`` tuples which allows to determine where
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a result comes from::
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>>> import py
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>>> ch1 = py.execnet.PopenGateway().remote_exec("channel.send(1)")
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>>> ch2 = py.execnet.PopenGateway().remote_exec("channel.send(2)")
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>>> mch = py.execnet.MultiChannel([ch1, ch2])
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>>> queue = mch.make_receive_queue()
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>>> chan1, res1 = queue.get() # you may also specify a timeout
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>>> chan2, res2 = queue.get()
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>>> res1 + res2
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3
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>>> assert chan1 in (ch1, ch2)
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>>> assert chan2 in (ch1, ch2)
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>>> assert chan1 != chan2
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Receive file contents from remote SSH account
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-----------------------------------------------------
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Here is a small program that you can use to retrieve
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contents of remote files::
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import py
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# open a gateway to a fresh child process
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gw = py.execnet.SshGateway('codespeak.net')
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channel = gw.remote_exec("""
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for fn in channel:
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f = open(fn, 'rb')
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channel.send(f.read())
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f.close()
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""")
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for fn in somefilelist:
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channel.send(fn)
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content = channel.receive()
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# process content
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# later you can exit / close down the gateway
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gw.exit()
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Instantiate a socket server in a new subprocess
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-----------------------------------------------------
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The following example opens a PopenGateway, i.e. a python
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child process, and starts a socket server within that process
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and then opens a second gateway to the freshly started
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socketserver::
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import py
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popengw = py.execnet.PopenGateway()
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socketgw = py.execnet.SocketGateway.new_remote(popengw, ("127.0.0.1", 0))
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print socketgw._rinfo() # print some info about the remote environment
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