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"author": "Dev Aggarwal",
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"description": "\n![](\"https://s3.ap-south-1.amazonaws.com/saral-data-bucket/misc/logo%2Btype%2Bnocatch.svg\")
\n\nZProc is a thought experiment, in making multi-tasking easier and accessible to everyone.\n\nIt focuses on automating various tasks related to message passing systems, for pythonistas.\nThe eventual goal is to make Python a first-class language for doing multi-tasking.\n\nSo that _you_ don't have to think about arcane details, \nlike request-reply loops, reliable pub-sub, worker management, task distributiom, exception propagation, that kind of thing... \n\n\n**Behold, the power of ZProc:**\n\n```python\nimport zproc\n\n\n#\n# define \"atomic\" operations\n#\n\n@zproc.atomic\ndef eat_cookie(snapshot):\n snapshot[\"cookies\"] -= 1\n print(\"nom nom nom\")\n\n\n@zproc.atomic\ndef bake_cookie(snapshot):\n snapshot[\"cookies\"] += 1\n print(\"Here's a cookie!\")\n\n\n#\n# specify a process\n#\n\n\ndef cookie_eater(ctx):\n state = ctx.create_state({'ready': True})\n\n # `start_time=0` accesses events from the very beginning.\n for _ in state.get_when_change(\"cookies\", start_time=0, count=5):\n eat_cookie(state)\n\n\n# boilerplate\nctx = zproc.Context(wait=True)\nstate = ctx.create_state({\"cookies\": 0})\n\n# create a \"ready\" handle\nready = state.get_when_available(\"ready\")\n\n# spwan the process\nproc = ctx.spawn(cookie_eater)\nprint(proc)\n\n# wait for ready\nnext(ready)\n\n# finally, bake some cookies.\nfor _ in range(5):\n bake_cookie(state)\n```\n\n**Result:**\n\n```\nProcess - pid: 10815 target: '__main__.cookie_eater' ppid: 10802 is_alive: True exitcode: None\nHere's a cookie!\nHere's a cookie!\nnom nom nom\nHere's a cookie!\nnom nom nom\nHere's a cookie!\nnom nom nom\nHere's a cookie!\nnom nom nom\nnom nom nom\n```\n\n_The framework does message passing for you._\n\nThe `state.get_when_change()` iterator supplies the `cookie_eater` process with events asynchronously, as the state is updated. \n\n\n## The core idea\n\nMessage passing is cumbersome, error prone, and tedius --\n because there is a lot of manual wiring involved. \n\nThe idea behind this project is to provide a pythonic API over widely accepted models in the message passing realm. \n\nIt started out with _embracing_ shared state (but not shared memory).\n\nShared memory is frowned upon by almost everyone, due to the fact that memory is inherently dumb.\nMemory doesn't really care who's writing to it.\n\nShared state brings it's own perils, because its really hard to keep track of changes.\n\nWith the aid of the Actor Model, ZProc's state keeps a track of who's doing what. \nSo much so, that it can act as a time-machine and give you state events from any defined time.\n\nIt then evolved to do handle exceptions across processes, failover, worker swarms, event sourcing,\n and other very useful features realated to multi-tasking. \n\nThe underlying architecture 100% message passing based,\nand hence scalable across many computers, \nwith minimal modifications to the user code.\n\n## Well why not just X?\n\nEach technology solution has it's place. Here is a rundown of why you would use ZProc over X.\n\n- `X == asyncio`\n It's kinda in the name. Asyncio is strictly for I/O based concurrency. \n And then there's the fact that it implies extreme levels of refactoring. \n\n To quote Joe Armstrong, \n\n > I want one way to program computers, not many.\n\n\n## Install\n\n[](https://pypi.org/project/zproc/)\n\n```\n$ pip install zproc\n```\n\nMIT License
\nPython 3.5+ \n\n\n## Documentation\n\n[](https://zproc.readthedocs.io/)\n\n[**Read the docs**](http://zproc.readthedocs.io/en/latest/)\n\n[**Examples**](examples)\n\n\n## Wishlist\n\nHere are some of the ideas that I wish were implemented in ZProc, but currently aren't.\n\n- Redundant state-servers -- automatic selection/fallback.\n- Green, Erlang-style processes. (requires Cpython internals)\n- Process *links*, that automatically propagate errors across processes.\n- Make namespaces horizontally scalable. \n\n## Features\n\n- \ud83c\udf20 Process management \n - Remembers to cleanup processes when exiting, for general peace. (even when they're nested)\n - Keeps a record of processes created using ZProc.\n - [\ud83d\udd16](https://zproc.readthedocs.io/en/latest/api.html#context)\n\n ```\n [ZProc] Cleaning up 'python' (13652)...\n ```\n\n- \ud83c\udf20 Worker/Process Maps \n - Automatically manages worker processes, and delegates tasks to them.\n - [\ud83d\udd16](https://zproc.readthedocs.io/en/latest/api.html#context) \n\n- \ud83c\udf20 [Communicating sequential processes](https://en.wikipedia.org/wiki/Communicating_sequential_processes), at the core.\n - No need for manual message passing. \n - _Watch_ for changes in state, without [busy waiting](https://en.wikipedia.org/wiki/Busy_waiting).\n - [\ud83d\udd16](https://zproc.readthedocs.io/en/latest/api.html#state).\n\n- Deterministic state updates. \n - Ships with a event messaging system that doesn't rely on flaky PUB/SUB.\n - Go back in time, with a `TimeMachine`!. \n\n- Distributed, by default.\n - Scalable to multiple computers, with minimal refactoring. \n\n- \ud83c\udf20 Atomic Operations\n - Perform an arbitrary number of operations on state as a single, atomic operation.\n - [\ud83d\udd16](https://zproc.readthedocs.io/en/latest/user/atomicity.html)\n\n- \ud83c\udf20 Detailed, humane error logging for Proceeses.\n\n ```\n [ZProc] Crash report:\n target: '__main__.p1'\n pid: 8959\n ppid: 8944\n\n Traceback (most recent call last):\n File \"/home/dev/Projects/zproc/zproc/child.py\", line 88, in main\n **self.target_kwargs\n File \"/home/dev/Projects/zproc/zproc/child.py\", line 65, in target_wrapper\n return self.target(*args, **kwargs)\n File \"test.py\", line 12, in p1\n raise ValueError\n ValueError \n ```\n\n\n## Caveats\n\n- The state only gets updated if you do it at the highest level.
\n This means that if you mutate objects deep down in the dict hirearchy,\n they wont be reflected in the global state.\n- The state should be pickle-able.\n- It runs an extra Processes for managing the state.
\n They're fairly lightweight though, and shouldn't add too\n much weight to your application.\n\n## FAQ\n\n- Fast?\n\n - Above all, ZProc is written for safety and the ease of use.\n - However, since its written using ZMQ, it's plenty fast for most stuff.\n\n- Stable?\n\n - Mostly. However, since it's still in its development stage, you should expect some API changes. \n\n- Production ready?\n\n - Please don't use it in production right now.\n\n- Windows compatible?\n\n - Probably?\n\n## Local development\n\n```\n# get the code\ngit clone https://github.com/pycampers/zproc.git\n\n# install dependencies\ncd zproc\npipenv install\npipenv install -d\n\n# activate virtualenv\npipenv shell\n\n# install zproc, and run tests\npip install -e .\npytest \n```\n\n## Build documentation\n\n```\ncd docs\n./build.sh \n\n# open docs\ngoogle-chrome _build/index.html \n\n# start a build loop\n./build.sh loop \n```\n\n## ZProc in the wild\n\n- [Oscilloscope](https://github.com/pycampers/oscilloscope)\n\n- [Muro](https://github.com/pycampers/muro)\n\n## Thanks\n\n- Thanks to [open logos](https://github.com/arasatasaygin/openlogos) for providing the wonderful ZProc logo.\n- Thanks to [pieter hintjens](http://hintjens.com/),\n for his work on the [ZeroMQ](http://zeromq.org/) library\n and for his [amazing book](http://zguide.zeromq.org/).\n- Thanks to [tblib](https://github.com/ionelmc/python-tblib),\n ZProc can raise First-class Exceptions from the zproc server!\n- Thanks to [psutil](https://github.com/giampaolo/psutil),\n ZProc can handle nested procesess!\n- Thanks to Kennith Rietz.\n His setup.py was used to host this project on pypi.\n Plus a lot of documentation structure is blatantly copied\n from his documentation on requests\n\n---\n\nZProc is short for [Zero](http://zguide.zeromq.org/page:all#The-Zen-of-Zero) Process.\n\n---\n\n[\ud83d\udc0d\ud83c\udfd5\ufe0f](http://www.pycampers.com/)\n\n\n",
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