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Further tweaks, add non-scary snippet

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Tyler Goodlet 2020-12-09 13:01:57 -05:00
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@ -8,28 +8,35 @@ The Python async-native multi-core system *you always wanted*.
.. _actor model: https://en.wikipedia.org/wiki/Actor_model
.. _trio: https://github.com/python-trio/trio
.. _multiprocessing: https://en.wikipedia.org/wiki/Multiprocessing
.. _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 multiprocessing_.
``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 a replacement for the stdlib's `multiprocessing` but built
on async primitives for IPC.
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.
``tractor``'s nurseries lets you spawn ``trio`` *"actors"*: new Python
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`_). 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.
Processes communicate by exchanging asynchronous messages_ and avoid
"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 predicatable ways.
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`_.
@ -54,13 +61,26 @@ No PyPi release yet!
Alluring Features
-----------------
- **It's just** ``trio``, but with SC applied to processes (aka "actors")
- Infinitely nesteable process trees
- A built-in API for inter-process streaming
- 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
- (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