Revert auto-gen readme and merge in auto-gen code blocks by hand for now

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Tyler Goodlet 2021-02-21 23:52:41 -05:00
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@ -1,54 +1,57 @@
tractor
*******
=======
The Python async-native multi-core system *you always wanted*.
https://actions-badge.atrox.dev/goodboy/tractor/goto
https://tractor.readthedocs.io/en/latest/?badge=latest
``tractor`` is a `structured concurrent
<https://trio.discourse.group/t/concise-definition-of-structured-concurrency/228>`_
`actor model <https://en.wikipedia.org/wiki/Actor_model>`_” built on
`trio <https://github.com/python-trio/trio>`_ and `multi-processing
<https://en.wikipedia.org/wiki/Multiprocessing>`_.
|gh_actions|
|docs|
It is an attempt to pair `trionic
<https://trio.readthedocs.io/en/latest/design.html#high-level-design-principles>`_
`structured concurrency
<https://vorpus.org/blog/notes-on-structured-concurrency-or-go-statement-considered-harmful/>`_
with distributed Python. You can think of it as a ``trio``
.. _actor model: https://en.wikipedia.org/wiki/Actor_model
.. _trio: https://github.com/python-trio/trio
.. _multi-processing: https://en.wikipedia.org/wiki/Multiprocessing
.. _trionic: https://trio.readthedocs.io/en/latest/design.html#high-level-design-principles
.. _async sandwich: https://trio.readthedocs.io/en/latest/tutorial.html#async-sandwich
.. _structured concurrent: https://trio.discourse.group/t/concise-definition-of-structured-concurrency/228
``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
stdlibs ``multiprocessing`` but built on async programming primitives
stdlib's ``multiprocessing`` but built on async programming primitives
from the ground up.
Dont 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 youve been missing.
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
``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
<https://trio.readthedocs.io/en/latest/tutorial.html#async-sandwich>`_
- a call to ``trio.run()``). That is, each “*Actor*” is a new process
plus a ``trio`` runtime.
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
<https://en.wikipedia.org/wiki/Message_passing>`_ 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.
"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
<https://trio.readthedocs.io/en/latest/>`_ and this `blog post
<https://vorpus.org/blog/notes-on-structured-concurrency-or-go-statement-considered-harmful/>`_.
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`_.
.. _messages: https://en.wikipedia.org/wiki/Message_passing
.. _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!
::
@ -57,36 +60,19 @@ No PyPi release yet!
Alluring Features
=================
* **Its 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++ <https://github.com/pdbpp/pdbpp>`_
* (Soon to land) ``asyncio`` support allowing for “infected” actors
where *trio* drives the *asyncio* scheduler via the astounding
“`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>`_”
-----------------
- **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`_"
The example youre probably after…
==================================
Example: self-destruct a process tree
-------------------------------------
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:
# TODO: workerpool example
.. code::
.. code:: python
"""
Run with a process monitor from a terminal using:
@ -127,13 +113,154 @@ the “worker pool” pattern is a trivial special case:
print('Zombies Contained')
Feel like saying hi?
====================
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:
.. code:: python
"""
Demonstration of the prime number detector example from the
``concurrent.futures`` docs:
https://docs.python.org/3/library/concurrent.futures.html#processpoolexecutor-example
This uses no extra threads, fancy semaphores or futures; all we need
is ``tractor``'s channels.
"""
from contextlib import asynccontextmanager
from typing import List, Callable
import itertools
import math
import time
import tractor
import trio
from async_generator import aclosing
PRIMES = [
112272535095293,
112582705942171,
112272535095293,
115280095190773,
115797848077099,
1099726899285419,
]
def is_prime(n):
if n < 2:
return False
if n == 2:
return True
if n % 2 == 0:
return False
sqrt_n = int(math.floor(math.sqrt(n)))
for i in range(3, sqrt_n + 1, 2):
if n % i == 0:
return False
return True
@asynccontextmanager
async def worker_pool(workers=4):
"""Though it's a trivial special case for ``tractor``, the well
known "worker pool" seems to be the defacto "but, I want this
process pattern!" for most parallelism pilgrims.
Yes, the workers stay alive (and ready for work) until you close
the context.
"""
async with tractor.open_nursery() as tn:
portals = []
snd_chan, recv_chan = trio.open_memory_channel(len(PRIMES))
for i in range(workers):
# this starts a new sub-actor (process + trio runtime) and
# stores it's "portal" for later use to "submit jobs" (ugh).
portals.append(
await tn.start_actor(
f'worker_{i}',
enable_modules=[__name__],
)
)
async def _map(
worker_func: Callable[[int], bool],
sequence: List[int]
) -> List[bool]:
# define an async (local) task to collect results from workers
async def send_result(func, value, portal):
await snd_chan.send((value, await portal.run(func, n=value)))
async with trio.open_nursery() as n:
for value, portal in zip(sequence, itertools.cycle(portals)):
n.start_soon(
send_result,
worker_func,
value,
portal
)
# deliver results as they arrive
for _ in range(len(sequence)):
yield await recv_chan.receive()
# deliver the parallel "worker mapper" to user code
yield _map
# tear down all "workers" on pool close
await tn.cancel()
async def main():
async with worker_pool() as actor_map:
start = time.time()
async with aclosing(actor_map(is_prime, PRIMES)) as results:
async for number, prime in results:
print(f'{number} is prime: {prime}')
print(f'processing took {time.time() - start} seconds')
if __name__ == '__main__':
start = time.time()
trio.run(main)
print(f'script took {time.time() - start} seconds')
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
<https://matrix.to/#/!tractor:matrix.org>`_. If matrix seems too hip,
were also mostly all in the the `trio gitter channel
<https://gitter.im/python-trio/general>`_!
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

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@ -1,103 +0,0 @@
tractor
=======
The Python async-native multi-core system *you always wanted*.
|gh_actions|
|docs|
.. _actor model: https://en.wikipedia.org/wiki/Actor_model
.. _trio: https://github.com/python-trio/trio
.. _multi-processing: https://en.wikipedia.org/wiki/Multiprocessing
.. _trionic: https://trio.readthedocs.io/en/latest/design.html#high-level-design-principles
.. _async sandwich: https://trio.readthedocs.io/en/latest/tutorial.html#async-sandwich
.. _structured concurrent: https://trio.discourse.group/t/concise-definition-of-structured-concurrency/228
``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`_.
.. _messages: https://en.wikipedia.org/wiki/Message_passing
.. _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
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`_"
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:
# 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

View File

@ -69,6 +69,12 @@ Alluring Features
`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...
------------------------------------
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
imagine; the "worker pool" pattern is a trivial special case:
# TODO: workerpool example
.. literalinclude:: ../../examples/parallelism/we_are_processes.py
.. literalinclude:: ../../examples/parallelism/concurrent_actors_primes.py
:language: python
Feel like saying hi?

View File

@ -35,9 +35,9 @@ release = '0.0.0a0.dev0'
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = [
# 'sphinx.ext.autodoc',
# 'sphinx.ext.intersphinx',
# 'sphinx.ext.todo',
'sphinx.ext.autodoc',
'sphinx.ext.intersphinx',
'sphinx.ext.todo',
'sphinxcontrib.restbuilder',
]

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@ -1,4 +1,4 @@
#!/bin/bash
sphinx-build -b rst ./github_readme ./
mv _sphinx_readme.rst README.rst
mv _sphinx_readme.rst _README.rst