573b8fef73
Add `Actor._cancel_called` and `._cancel_complete` making it possible to determine whether the actor has started the cancellation sequence and whether that sequence has fully completed. This allows for blocking in internal machinery tasks as necessary. Also, always trigger the end of ongoing rpc tasks even if the last task errors; there's no guarantee the trio cancellation semantics will guarantee us a nice internal "state" without this. |
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| .github/workflows | ||
| docs | ||
| examples | ||
| tests | ||
| tractor | ||
| .gitignore | ||
| .travis.yml | ||
| LICENSE | ||
| README.rst | ||
| mypy.ini | ||
| requirements-docs.txt | ||
| requirements-test.txt | ||
| setup.py | ||
README.rst
tractor
A structured concurrent, async-native "actor model" built on trio and multiprocessing.
tractor is an attempt to bring trionic structured concurrency to distributed multi-core Python; it aims to be the Python multi-processing framework you always wanted.
tractor lets you spawn trio "actors": processes which each run a trio scheduled task tree (also known as an async sandwich). Actors communicate by exchanging asynchronous messages and avoid sharing any state. This model allows for highly distributed software architecture which works just as well on multiple cores as it does over many hosts.
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.
Install
No PyPi release yet!
pip install git+git://github.com/goodboy/tractor.gitFeel like saying hi?
This project is very much coupled to the ongoing development of trio (i.e. tractor gets all its ideas from that brilliant community). If you want to help, have suggestions or just want to say hi, please feel free to ping me on the trio gitter channel!