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390 lines
13 KiB
ReStructuredText
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Getting Started
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===============
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.. warning::
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This section is incomplete.
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Liability Waiver
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----------------
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Before proceeding, it is critical you understand what you're involving yourself
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and possibly your team and its successors with:
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.. image:: images/pandora.svg
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:class: mitogen-right-350
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* Constructing the most fundamental class, :py:class:`Broker
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<mitogen.master.Broker>`, causes a new thread to be spawned, exposing a huge
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class of difficult to analyse behaviours that Python software generally does
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not suffer from.
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While every effort is made to hide this complexity, you should expect
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threading-related encounters during development, and crucially, years after
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your program reached production. See :ref:`troubleshooting` for more
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information.
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* While high-level abstractions are provided, they are only a convenience, you
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must still understand :ref:`how Mitogen works <howitworks>` before depending
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on it. Mitogen interacts with many aspects of the operating system,
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threading, SSH, sudo, sockets, TTYs, shell, Python runtime, and timing and
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ordering uncertainty introduced through interaction with the network, GIL and
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OS scheduling.
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Knowledge of this domain is typically attained through painful years of
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failed attempts hacking system-level programs, and learning through continual
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suffering how to debug the atrocities left behind. If you feel you lack
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resources or willpower to diagnose problems independently, Mitogen is not
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appropriate, prefer a higher level solution instead.
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First Principles
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----------------
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Before starting, take a moment to reflect on writing a program that will
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operate across machines and privilege domains:
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* As with multithreaded programming, writing a program that spans multiple
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hosts is exposed to many asynchrony issues. Unlike multithreaded programming,
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the margin for unexpected failures is much higher, even between only two
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peers, as communication may be fail at any moment, since that communication
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depends on reliability of an external network.
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* Since a multi-host program always spans trust and privilege domains, trust
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must be taken into consideration in your design from the outset. Mitogen
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attempts to protect the consuming application by default where possible,
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however it is paramount that trust considerations are always in mind when
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exposing any privileged functionality to a potentially untrusted network of
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peers.
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A parent must always assume data received from a child is suspect, and must
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not base privileged control decisions on that data. As a small example, a
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parent should not form a command to execute in a subprocess using strings
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received from a child.
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* As the program spans multiple hosts, its design will benefit from a strict
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separation of program and data. This entails avoiding some common Python
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idioms that rely on its ability to manipulate functions and closures as if
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they were data, such as passing a lambda closed over some program state as a
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callback parameter.
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In the general case this is both difficult and unsafe to support in a
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distributed program, and so (for now at least) it should be assumed this
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functionality is unlikely to appear in future.
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Broker And Router
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-----------------
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.. image:: images/layout.svg
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:class: mitogen-full-width
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.. currentmodule:: mitogen.core
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Execution starts when your program constructs a :py:class:`Broker` and
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associated :py:class:`Router`. The broker is responsible for multiplexing IO to
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children from a private thread, while in children, it is additionally
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responsible for ensuring robust destruction if communication with the master
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is lost.
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:py:class:`Router` is responsible for receiving messages and dispatching them
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to a callback from the broker thread (registered by :py:meth:`add_handler()
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<mitogen.core.Router.add_handler>`), or forwarding them to a :py:class:`Stream
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<mitogen.core.Stream>`. See :ref:`routing` for an in-depth description.
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:py:class:`Router` also doubles as the entry point to Mitogen's public API::
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>>> import mitogen.master
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>>> broker = mitogen.master.Broker()
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>>> router = mitogen.master.Router(broker)
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>>> try:
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... # Your code here.
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... pass
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... finally:
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... broker.shutdown()
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As Python will not stop if threads still exist after the main thread exits,
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:py:meth:`Broker.shutdown` must be called reliably at exit. Helpers are
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provided by :py:mod:`mitogen.utils` to ensure :py:class:`Broker` is reliably
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destroyed::
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def do_mitogen_stuff(router):
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# Your code here.
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mitogen.utils.run_with_router(do_mitogen_stuff)
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If your program cannot live beneath :py:func:`mitogen.utils.run_with_router` on
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the stack, you must arrange for :py:meth:`Broker.shutdown` to be called
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anywhere the main thread may exit.
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Enable Logging
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--------------
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Mitogen makes heavy use of the :py:mod:`logging` package, both for child
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``stdio`` redirection, and soft errors and warnings that may be generated.
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You should always configure the :py:mod:`logging` package in any program that
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integrates Mitogen. If your program does not otherwise use the
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:py:mod:`logging` package, a basic configuration can be performed by calling
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:py:func:`mitogen.utils.log_to_file`::
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>>> import mitogen.utils
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# Errors, warnings, and child stdio will be written to stderr.
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>>> mitogen.utils.log_to_file()
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Additionally, if your program has :py:const:`logging.DEBUG` as the default
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logging level, you may wish to update its configuration to restrict the
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``mitogen`` logger to :py:const:`logging.INFO`, otherwise vast amounts of
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output will be generated by default.
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.. _logging-env-vars:
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Logging Environment Variables
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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``MITOGEN_LOG_LEVEL``
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Overrides the :py:mod:`logging` package log level set by any call to
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:py:func:`mitogen.utils.log_to_file`. Defaults to ``INFO``.
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If set to ``IO``, equivalent to ``DEBUG`` but additionally enabled IO
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logging for any call to :py:func:`mitogen.utils.log_to_file`. IO logging
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produces verbose records of any IO interaction, which is useful for
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debugging hangs and deadlocks.
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Logging Records
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~~~~~~~~~~~~~~~
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Messages received from a child context via :class:`mitogen.master.LogForwarder`
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receive extra attributes:
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* `mitogen_context`: :class:`mitogen.parent.Context` referring to the message
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source.
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* `mitogen_name`: original logger name in the source context.
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* `mitogen_msg`: original message in the source context.
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Creating A Context
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------------------
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Contexts are simply external Python programs over which your program has
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control, and can execute code within. They can be created as subprocesses on
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the local machine, in another user account via `sudo`, on a remote machine via
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`ssh`, or any recursive combination of the above.
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Now a :py:class:`Router` exists, our first :py:class:`contexts <Context>` can
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be created. To demonstrate basic functionality, we will start with some
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:py:meth:`local() <Router.local>` contexts created as subprocesses::
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>>> local = router.local()
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>>> local_with_name = router.local(remote_name='i-have-a-name')
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Examination of the system process list with the ``pstree`` utility reveals the
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resulting process hierarchy::
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| | \-+= 27660 dmw python
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| | |--- 27661 dmw mitogen:dmw@Eldil.local:27660
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| | \--- 27663 dmw mitogen:i-have-a-name
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Both contexts are visible as subprocesses of the interactive Python
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interpreter, with their ``argv[0]`` including a description of their identity.
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To aid systems administrators in identifying errant software running on their
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machines, the default `remote_name` includes the location of the program that
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started the context, however as shown, this can be overridden.
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.. note::
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Presently contexts are constructed in a blocking manner on the thread that
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invoked the :ref:`context factory <context-factories>`. In a future
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release, the factory will instead return immediately, and construction will
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happen asynchronously on the broker thread.
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Calling A Function
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------------------
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.. currentmodule:: mitogen.parent
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Now that some contexts exist, it is time to execute code in them. Any regular
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function, static method, or class method reachable directly from module scope
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may be used, including built-in functions such as :func:`time.time`.
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The :py:meth:`Context.call` method is used to execute a function and block the
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caller until the return value is available or an exception is raised::
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>>> import time
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>>> import os
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>>> # Returns the current time.
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>>> print('Time in remote context:', local.call(time.time))
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>>> try:
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... # Raises OSError.
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... local.call(os.chdir, '/nonexistent')
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... except mitogen.core.CallError, e:
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... print('Call failed:', str(e))
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It is a simple wrapper around the more flexible :meth:`Context.call_async`,
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which immediately returns a :class:`Receiver <mitogen.core.Receiver>` wired up
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to receive the return value instead. A receiver may simply be discarded, kept
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around indefinitely without ever reading its result, or used to wait on the
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results from several calls. Here :meth:`get() <mitogen.core.Receiver.get>`
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is called to block the thread until the result arrives::
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>>> call = local.call_async(time.time)
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>>> msg = call.get()
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>>> print(msg.unpickle())
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1507292737.75547
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Running User Functions
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----------------------
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So far we have used the interactive interpreter to call some standard library
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functions, but since the source code typed at the interpreter cannot be
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recovered, Mitogen is unable to execute functions defined in this way.
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We must therefore continue by writing our code as a script::
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# first-script.py
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import mitogen.utils
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def my_first_function():
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print('Hello from remote context!')
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return 123
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def main(router):
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local = router.local()
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print(local.call(my_first_function))
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if __name__ == '__main__':
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mitogen.utils.log_to_file("mitogen.log")
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mitogen.utils.run_with_router(main)
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Let's try running it:
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.. code-block:: bash
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$ python first-script.py
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19:11:32 I mitogen.ctx.local.32466: stdout: Hello from remote context!
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123
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Waiting On Multiple Calls
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-------------------------
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Using :meth:`Context.call_async` it is possible to start multiple function
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calls then sleep waiting for responses as they are available. This makes it
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trivial to run tasks in parallel across processes (including remote processes)
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without the need for writing asynchronous code::
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hostnames = ['host1', 'host2', 'host3', 'host4']
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contexts = [router.ssh(hostname=hn) for hn in hostnames]
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calls = [context.call(my_func) for context in contexts]
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for msg in mitogen.select.Select(calls):
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print('Reply from %s: %s' % (recv.context, data))
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Running Code That May Hang
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--------------------------
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When executing code that may hang due to, for example, talking to network peers
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that may become unavailable, it is desirable to be able to recover control in
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the case a remote call has hung.
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By specifying the `timeout` parameter to :meth:`Receiver.get` on the receiver
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returned by `Context.call_async`, it becomes possible to wait for a function to
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complete, but time out if its result does not become available.
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When a context has become hung like this, it is still possible to gracefully
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terminate it using the :meth:`Context.shutdown` method. This method sends a
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shutdown message to the target process, where its IO multiplexer thread can
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still process it independently of the hung function running on on the target's
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main thread.
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Recovering Mitogen Object References In Children
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------------------------------------------------
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::
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@mitogen.core.takes_econtext
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def func1(a, b, econtext):
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...
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@mitogen.core.takes_router
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def func2(a, b, router):
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...
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Recursion
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---------
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Let's try something a little more complex:
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.. _serialization-rules:
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RPC Serialization Rules
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-----------------------
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The following built-in types may be used as parameters or return values in
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remote procedure calls:
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* :class:`bool`
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* :func:`bytes` (:class:`str` on Python 2.x)
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* :class:`dict`
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* :class:`int`
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* :class:`long`
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* :class:`float`
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* :func:`list`
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* :func:`tuple`
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* :func:`unicode` (:class:`str` on Python 3.x)
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User-defined types may not be used, except for:
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* :py:class:`mitogen.core.Blob`
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* :py:class:`mitogen.core.Secret`
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* :py:class:`mitogen.core.CallError`
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* :py:class:`mitogen.core.Context`
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* :py:class:`mitogen.core.Sender`
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Subclasses of built-in types must be undecorated using
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:py:func:`mitogen.utils.cast`.
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Test Your Design
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----------------
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``tc qdisc add dev eth0 root netem delay 250ms``
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.. _troubleshooting:
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Troubleshooting
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---------------
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.. warning::
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This section is incomplete.
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A typical example is a hang due to your application's main thread exitting
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perhaps due to an unhandled exception, without first arranging for any
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:py:class:`Broker <mitogen.master.Broker>` to be shut down gracefully.
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Another example would be your main thread hanging indefinitely because a bug
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in Mitogen fails to notice an event (such as RPC completion) your thread is
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waiting for will never complete. Solving this kind of hang is a work in
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progress.
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router.enable_debug()
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