forked from goodboy/tractor
Revert auto-gen readme and merge in auto-gen code blocks by hand for now
Tyler Goodlet
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docs/README.rst
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docs/README.rst
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@ -1,54 +1,57 @@
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tractor
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tractor
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*******
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=======
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The Python async-native multi-core system *you always wanted*.
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The Python async-native multi-core system *you always wanted*.
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https://actions-badge.atrox.dev/goodboy/tractor/goto
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https://tractor.readthedocs.io/en/latest/?badge=latest
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``tractor`` is a `structured concurrent
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|gh_actions|
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<https://trio.discourse.group/t/concise-definition-of-structured-concurrency/228>`_
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|docs|
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“`actor model <https://en.wikipedia.org/wiki/Actor_model>`_” built on
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`trio <https://github.com/python-trio/trio>`_ and `multi-processing
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<https://en.wikipedia.org/wiki/Multiprocessing>`_.
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It is an attempt to pair `trionic
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.. _actor model: https://en.wikipedia.org/wiki/Actor_model
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<https://trio.readthedocs.io/en/latest/design.html#high-level-design-principles>`_
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.. _trio: https://github.com/python-trio/trio
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`structured concurrency
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.. _multi-processing: https://en.wikipedia.org/wiki/Multiprocessing
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<https://vorpus.org/blog/notes-on-structured-concurrency-or-go-statement-considered-harmful/>`_
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.. _trionic: https://trio.readthedocs.io/en/latest/design.html#high-level-design-principles
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with distributed Python. You can think of it as a ``trio``
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.. _async sandwich: https://trio.readthedocs.io/en/latest/tutorial.html#async-sandwich
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.. _structured concurrent: https://trio.discourse.group/t/concise-definition-of-structured-concurrency/228
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``tractor`` is a `structured concurrent`_ "`actor model`_" built on trio_ and multi-processing_.
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It is an attempt to pair trionic_ `structured concurrency`_ with
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distributed Python. You can think of it as a ``trio``
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*-across-processes* or simply as an opinionated replacement for the
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*-across-processes* or simply as an opinionated replacement for the
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stdlib’s ``multiprocessing`` but built on async programming primitives
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stdlib's ``multiprocessing`` but built on async programming primitives
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from the ground up.
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from the ground up.
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Don’t be scared off by this description. ``tractor`` **is just
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Don't be scared off by this description. ``tractor`` **is just ``trio``**
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``trio``** but with nurseries for process management and cancel-able
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but with nurseries for process management and cancel-able IPC.
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IPC. If you understand how to work with ``trio``, ``tractor`` will
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If you understand how to work with ``trio``, ``tractor`` will give you
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give you the parallelism you’ve been missing.
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the parallelism you've been missing.
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``tractor``’s nurseries let you spawn ``trio`` *“actors”*: new Python
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``tractor``'s nurseries let you spawn ``trio`` *"actors"*: new Python
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processes which each run a ``trio`` scheduled task tree (also known as
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processes which each run a ``trio`` scheduled task tree (also known as
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an `async sandwich
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an `async sandwich`_ - a call to ``trio.run()``). That is, each
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<https://trio.readthedocs.io/en/latest/tutorial.html#async-sandwich>`_
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"*Actor*" is a new process plus a ``trio`` runtime.
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- a call to ``trio.run()``). That is, each “*Actor*” is a new process
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plus a ``trio`` runtime.
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“Actors” communicate by exchanging asynchronous `messages
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"Actors" communicate by exchanging asynchronous messages_ and avoid
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<https://en.wikipedia.org/wiki/Message_passing>`_ and avoid sharing
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sharing state. The intention of this model is to allow for highly
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state. The intention of this model is to allow for highly distributed
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distributed software that, through the adherence to *structured
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software that, through the adherence to *structured concurrency*,
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concurrency*, results in systems which fail in predictable and
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results in systems which fail in predictable and recoverable ways.
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recoverable ways.
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The first step to grok ``tractor`` is to get the basics of ``trio``
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The first step to grok ``tractor`` is to get the basics of ``trio`` down.
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down. A great place to start is the `trio docs
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A great place to start is the `trio docs`_ and this `blog post`_.
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<https://trio.readthedocs.io/en/latest/>`_ and this `blog post
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<https://vorpus.org/blog/notes-on-structured-concurrency-or-go-statement-considered-harmful/>`_.
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.. _messages: https://en.wikipedia.org/wiki/Message_passing
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.. _trio docs: https://trio.readthedocs.io/en/latest/
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.. _blog post: https://vorpus.org/blog/notes-on-structured-concurrency-or-go-statement-considered-harmful/
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.. _structured concurrency: https://vorpus.org/blog/notes-on-structured-concurrency-or-go-statement-considered-harmful/
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.. _3 axioms: https://en.wikipedia.org/wiki/Actor_model#Fundamental_concepts
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.. _unrequirements: https://en.wikipedia.org/wiki/Actor_model#Direct_communication_and_asynchrony
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.. _async generators: https://www.python.org/dev/peps/pep-0525/
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Install
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Install
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=======
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-------
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No PyPi release yet!
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No PyPi release yet!
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::
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::
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@ -57,36 +60,19 @@ No PyPi release yet!
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Alluring Features
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Alluring Features
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=================
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-----------------
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- **It's just** ``trio``, but with SC applied to processes (aka "actors")
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* **It’s just** ``trio``, but with SC applied to processes (aka
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- Infinitely nesteable process trees
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“actors”)
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- Built-in API for inter-process streaming
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- A (first ever?) "native" multi-core debugger for Python using `pdb++`_
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* Infinitely nesteable process trees
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- (Soon to land) ``asyncio`` support allowing for "infected" actors where
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`trio` drives the `asyncio` scheduler via the astounding "`guest mode`_"
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* Built-in API for inter-process streaming
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* A (first ever?) “native” multi-core debugger for Python using
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`pdb++ <https://github.com/pdbpp/pdbpp>`_
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* (Soon to land) ``asyncio`` support allowing for “infected” actors
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where *trio* drives the *asyncio* scheduler via the astounding
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“`guest mode
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<https://trio.readthedocs.io/en/stable/reference-lowlevel.html?highlight=guest%20mode#using-guest-mode-to-run-trio-on-top-of-other-event-loops>`_”
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The example you’re probably after…
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Example: self-destruct a process tree
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==================================
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-------------------------------------
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It seems the initial query from most new users is “how do I make a
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.. code:: python
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worker pool thing?”.
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``tractor`` is built to handle any SC process tree you can imagine;
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the “worker pool” pattern is a trivial special case:
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# TODO: workerpool example
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.. code::
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"""
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"""
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Run with a process monitor from a terminal using:
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Run with a process monitor from a terminal using:
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@ -127,13 +113,154 @@ the “worker pool” pattern is a trivial special case:
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print('Zombies Contained')
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print('Zombies Contained')
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Feel like saying hi?
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The example you're probably after...
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====================
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------------------------------------
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It seems the initial query from most new users is "how do I make a worker
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pool thing?".
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``tractor`` is built to handle any SC process tree you can
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imagine; the "worker pool" pattern is a trivial special case:
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.. code:: python
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"""
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Demonstration of the prime number detector example from the
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``concurrent.futures`` docs:
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https://docs.python.org/3/library/concurrent.futures.html#processpoolexecutor-example
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This uses no extra threads, fancy semaphores or futures; all we need
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is ``tractor``'s channels.
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"""
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from contextlib import asynccontextmanager
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from typing import List, Callable
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import itertools
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import math
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import time
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import tractor
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import trio
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from async_generator import aclosing
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PRIMES = [
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112272535095293,
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112582705942171,
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112272535095293,
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115280095190773,
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115797848077099,
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1099726899285419,
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]
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def is_prime(n):
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if n < 2:
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return False
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if n == 2:
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return True
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if n % 2 == 0:
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return False
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sqrt_n = int(math.floor(math.sqrt(n)))
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for i in range(3, sqrt_n + 1, 2):
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if n % i == 0:
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return False
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return True
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@asynccontextmanager
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async def worker_pool(workers=4):
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"""Though it's a trivial special case for ``tractor``, the well
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known "worker pool" seems to be the defacto "but, I want this
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process pattern!" for most parallelism pilgrims.
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Yes, the workers stay alive (and ready for work) until you close
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the context.
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"""
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async with tractor.open_nursery() as tn:
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portals = []
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snd_chan, recv_chan = trio.open_memory_channel(len(PRIMES))
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for i in range(workers):
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# this starts a new sub-actor (process + trio runtime) and
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# stores it's "portal" for later use to "submit jobs" (ugh).
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portals.append(
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await tn.start_actor(
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f'worker_{i}',
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enable_modules=[__name__],
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)
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)
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async def _map(
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worker_func: Callable[[int], bool],
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sequence: List[int]
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) -> List[bool]:
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# define an async (local) task to collect results from workers
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async def send_result(func, value, portal):
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await snd_chan.send((value, await portal.run(func, n=value)))
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async with trio.open_nursery() as n:
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for value, portal in zip(sequence, itertools.cycle(portals)):
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n.start_soon(
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send_result,
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worker_func,
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value,
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portal
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)
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# deliver results as they arrive
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for _ in range(len(sequence)):
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yield await recv_chan.receive()
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# deliver the parallel "worker mapper" to user code
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yield _map
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# tear down all "workers" on pool close
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await tn.cancel()
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async def main():
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async with worker_pool() as actor_map:
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start = time.time()
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async with aclosing(actor_map(is_prime, PRIMES)) as results:
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async for number, prime in results:
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print(f'{number} is prime: {prime}')
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print(f'processing took {time.time() - start} seconds')
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if __name__ == '__main__':
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start = time.time()
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trio.run(main)
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print(f'script took {time.time() - start} seconds')
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Feel like saying hi?
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--------------------
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This project is very much coupled to the ongoing development of
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This project is very much coupled to the ongoing development of
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``trio`` (i.e. ``tractor`` gets most of its ideas from that brilliant
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``trio`` (i.e. ``tractor`` gets most of its ideas from that brilliant
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community). If you want to help, have suggestions or just want to say
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community). If you want to help, have suggestions or just want to
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hi, please feel free to reach us in our `matrix channel
|
say hi, please feel free to reach us in our `matrix channel`_. If
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<https://matrix.to/#/!tractor:matrix.org>`_. If matrix seems too hip,
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matrix seems too hip, we're also mostly all in the the `trio gitter
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we’re also mostly all in the the `trio gitter channel
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channel`_!
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<https://gitter.im/python-trio/general>`_!
|
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.. _trio gitter channel: https://gitter.im/python-trio/general
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.. _matrix channel: https://matrix.to/#/!tractor:matrix.org
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.. _pdb++: https://github.com/pdbpp/pdbpp
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.. _guest mode: https://trio.readthedocs.io/en/stable/reference-lowlevel.html?highlight=guest%20mode#using-guest-mode-to-run-trio-on-top-of-other-event-loops
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.. |gh_actions| image:: https://img.shields.io/endpoint.svg?url=https%3A%2F%2Factions-badge.atrox.dev%2Fgoodboy%2Ftractor%2Fbadge&style=popout-square
|
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:target: https://actions-badge.atrox.dev/goodboy/tractor/goto
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.. |docs| image:: https://readthedocs.org/projects/tractor/badge/?version=latest
|
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:target: https://tractor.readthedocs.io/en/latest/?badge=latest
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:alt: Documentation Status
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103
docs/_README.rst
103
docs/_README.rst
|
|
@ -1,103 +0,0 @@
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tractor
|
|
||||||
=======
|
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The Python async-native multi-core system *you always wanted*.
|
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||||||
|
|
||||||
|
|
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|gh_actions|
|
|
||||||
|docs|
|
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|
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.. _actor model: https://en.wikipedia.org/wiki/Actor_model
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.. _trio: https://github.com/python-trio/trio
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.. _multi-processing: https://en.wikipedia.org/wiki/Multiprocessing
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.. _trionic: https://trio.readthedocs.io/en/latest/design.html#high-level-design-principles
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.. _async sandwich: https://trio.readthedocs.io/en/latest/tutorial.html#async-sandwich
|
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.. _structured concurrent: https://trio.discourse.group/t/concise-definition-of-structured-concurrency/228
|
|
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|
|
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|
|
||||||
``tractor`` is a `structured concurrent`_ "`actor model`_" built on trio_ and multi-processing_.
|
|
||||||
|
|
||||||
It is an attempt to pair trionic_ `structured concurrency`_ with
|
|
||||||
distributed Python. You can think of it as a ``trio``
|
|
||||||
*-across-processes* or simply as an opinionated replacement for the
|
|
||||||
stdlib's ``multiprocessing`` but built on async programming primitives
|
|
||||||
from the ground up.
|
|
||||||
|
|
||||||
Don't be scared off by this description. ``tractor`` **is just ``trio``**
|
|
||||||
but with nurseries for process management and cancel-able IPC.
|
|
||||||
If you understand how to work with ``trio``, ``tractor`` will give you
|
|
||||||
the parallelism you've been missing.
|
|
||||||
|
|
||||||
``tractor``'s nurseries let you spawn ``trio`` *"actors"*: new Python
|
|
||||||
processes which each run a ``trio`` scheduled task tree (also known as
|
|
||||||
an `async sandwich`_ - a call to ``trio.run()``). That is, each
|
|
||||||
"*Actor*" is a new process plus a ``trio`` runtime.
|
|
||||||
|
|
||||||
"Actors" communicate by exchanging asynchronous messages_ and avoid
|
|
||||||
sharing state. The intention of this model is to allow for highly
|
|
||||||
distributed software that, through the adherence to *structured
|
|
||||||
concurrency*, results in systems which fail in predictable and
|
|
||||||
recoverable ways.
|
|
||||||
|
|
||||||
The first step to grok ``tractor`` is to get the basics of ``trio`` down.
|
|
||||||
A great place to start is the `trio docs`_ and this `blog post`_.
|
|
||||||
|
|
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.. _messages: https://en.wikipedia.org/wiki/Message_passing
|
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.. _trio docs: https://trio.readthedocs.io/en/latest/
|
|
||||||
.. _blog post: https://vorpus.org/blog/notes-on-structured-concurrency-or-go-statement-considered-harmful/
|
|
||||||
.. _structured concurrency: https://vorpus.org/blog/notes-on-structured-concurrency-or-go-statement-considered-harmful/
|
|
||||||
.. _3 axioms: https://en.wikipedia.org/wiki/Actor_model#Fundamental_concepts
|
|
||||||
.. _unrequirements: https://en.wikipedia.org/wiki/Actor_model#Direct_communication_and_asynchrony
|
|
||||||
.. _async generators: https://www.python.org/dev/peps/pep-0525/
|
|
||||||
|
|
||||||
|
|
||||||
Install
|
|
||||||
-------
|
|
||||||
No PyPi release yet!
|
|
||||||
|
|
||||||
::
|
|
||||||
|
|
||||||
pip install git+git://github.com/goodboy/tractor.git
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|
||||||
|
|
||||||
|
|
||||||
Alluring Features
|
|
||||||
-----------------
|
|
||||||
- **It's just** ``trio``, but with SC applied to processes (aka "actors")
|
|
||||||
- Infinitely nesteable process trees
|
|
||||||
- Built-in API for inter-process streaming
|
|
||||||
- A (first ever?) "native" multi-core debugger for Python using `pdb++`_
|
|
||||||
- (Soon to land) ``asyncio`` support allowing for "infected" actors where
|
|
||||||
`trio` drives the `asyncio` scheduler via the astounding "`guest mode`_"
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|
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||||||
The example you're probably after...
|
|
||||||
------------------------------------
|
|
||||||
It seems the initial query from most new users is "how do I make a worker
|
|
||||||
pool thing?".
|
|
||||||
|
|
||||||
``tractor`` is built to handle any SC process tree you can
|
|
||||||
imagine; the "worker pool" pattern is a trivial special case:
|
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||||||
|
|
||||||
|
|
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# TODO: workerpool example
|
|
||||||
|
|
||||||
|
|
||||||
Feel like saying hi?
|
|
||||||
--------------------
|
|
||||||
This project is very much coupled to the ongoing development of
|
|
||||||
``trio`` (i.e. ``tractor`` gets most of its ideas from that brilliant
|
|
||||||
community). If you want to help, have suggestions or just want to
|
|
||||||
say hi, please feel free to reach us in our `matrix channel`_. If
|
|
||||||
matrix seems too hip, we're also mostly all in the the `trio gitter
|
|
||||||
channel`_!
|
|
||||||
|
|
||||||
.. _trio gitter channel: https://gitter.im/python-trio/general
|
|
||||||
.. _matrix channel: https://matrix.to/#/!tractor:matrix.org
|
|
||||||
.. _pdb++: https://github.com/pdbpp/pdbpp
|
|
||||||
.. _guest mode: https://trio.readthedocs.io/en/stable/reference-lowlevel.html?highlight=guest%20mode#using-guest-mode-to-run-trio-on-top-of-other-event-loops
|
|
||||||
|
|
||||||
|
|
||||||
.. |gh_actions| image:: https://img.shields.io/endpoint.svg?url=https%3A%2F%2Factions-badge.atrox.dev%2Fgoodboy%2Ftractor%2Fbadge&style=popout-square
|
|
||||||
:target: https://actions-badge.atrox.dev/goodboy/tractor/goto
|
|
||||||
.. |docs| image:: https://readthedocs.org/projects/tractor/badge/?version=latest
|
|
||||||
:target: https://tractor.readthedocs.io/en/latest/?badge=latest
|
|
||||||
:alt: Documentation Status
|
|
||||||
|
|
@ -69,6 +69,12 @@ Alluring Features
|
||||||
`trio` drives the `asyncio` scheduler via the astounding "`guest mode`_"
|
`trio` drives the `asyncio` scheduler via the astounding "`guest mode`_"
|
||||||
|
|
||||||
|
|
||||||
|
Example: self-destruct a process tree
|
||||||
|
-------------------------------------
|
||||||
|
.. literalinclude:: ../../examples/parallelism/we_are_processes.py
|
||||||
|
:language: python
|
||||||
|
|
||||||
|
|
||||||
The example you're probably after...
|
The example you're probably after...
|
||||||
------------------------------------
|
------------------------------------
|
||||||
It seems the initial query from most new users is "how do I make a worker
|
It seems the initial query from most new users is "how do I make a worker
|
||||||
|
|
@ -77,9 +83,8 @@ pool thing?".
|
||||||
``tractor`` is built to handle any SC process tree you can
|
``tractor`` is built to handle any SC process tree you can
|
||||||
imagine; the "worker pool" pattern is a trivial special case:
|
imagine; the "worker pool" pattern is a trivial special case:
|
||||||
|
|
||||||
# TODO: workerpool example
|
.. literalinclude:: ../../examples/parallelism/concurrent_actors_primes.py
|
||||||
|
:language: python
|
||||||
.. literalinclude:: ../../examples/parallelism/we_are_processes.py
|
|
||||||
|
|
||||||
|
|
||||||
Feel like saying hi?
|
Feel like saying hi?
|
||||||
|
|
|
||||||
|
|
@ -35,9 +35,9 @@ release = '0.0.0a0.dev0'
|
||||||
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
|
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
|
||||||
# ones.
|
# ones.
|
||||||
extensions = [
|
extensions = [
|
||||||
# 'sphinx.ext.autodoc',
|
'sphinx.ext.autodoc',
|
||||||
# 'sphinx.ext.intersphinx',
|
'sphinx.ext.intersphinx',
|
||||||
# 'sphinx.ext.todo',
|
'sphinx.ext.todo',
|
||||||
'sphinxcontrib.restbuilder',
|
'sphinxcontrib.restbuilder',
|
||||||
|
|
||||||
]
|
]
|
||||||
|
|
|
||||||
|
|
@ -1,4 +1,4 @@
|
||||||
#!/bin/bash
|
#!/bin/bash
|
||||||
sphinx-build -b rst ./github_readme ./
|
sphinx-build -b rst ./github_readme ./
|
||||||
|
|
||||||
mv _sphinx_readme.rst README.rst
|
mv _sphinx_readme.rst _README.rst
|
||||||
|
|
|
||||||
Loading…
Reference in New Issue