Multiprocess Framework for Server and Mobiles; run your generator output and server on every CPU core,
Project description
Python 3.7
Multiprocessor Framework for single Server
Kwargs To Go
Features:
Uniform foundation to create multiprocess project modules
Workload Chunks with header to control output and speed up a specific task
Chunks get a serial number (ID), findings can be checked in a result dictionary, which ID is missing
module_loader decouples your Worker imports from Main()
Categories of Queues, assign Names to Queues and groups of Queues
Queue list helps to debug your setup and reveals the name, object id and object reference of every Queue
Print Queue allows formatted print to screen for your processes (blocks)
No libraries, (Linux, Windows)
download the all inclusive PyPi Examples package and execute eisenmp_url in Terminal to start the simpleHTTP Ajax server
How it works
You write two functions and two modules. Let’s name them Manager.py and Worker.py.
Manager.py defines custom objects and starts a new process, target is module_loader.py (loader)
loader imports your (independent) Worker.py module from file system without side effects
loader sits in a loop and calls your Worker.py entry function until queue is empty
q_feeder iterator sends a STOP message. Your Worker reads STOP, return False and exit.
module_loader module then puts a STOP Worker message in all other input queues.
Next Worker reads STOP, exit …
Loader runs idle and awaits the internal STOP Process message.
Generators
Variables transfer to worker
The worker should be more flexible. Thus, it needs more structured information.
Information collector is the ModuleConfiguration class instance. The class can carry any name.
All instance attributes are stored in a dictionary __dict__. (self.foo will be kwargs.foo)
The instance dictionary is argument (kwargs) to call the eisenmp start method.
Kwargs is updated further with queue information and the START_SEQUENCE_NUM of the process, before process start.
Default Queues
Input worker lists, Output result and stop lists
Tools, Print, Info
How to run the examples?
Fast PyPi package. eisenmp will be installed also.
In depth. Clone both repos.
Install in editable pip mode.
cd eisenmp pip3 install -e . # uninstall (linux pip3) with: pip3 uninstall eisenmp cd eisenmp_examples pip3 install -e . # uninstall with: pip3 uninstall eisenmp_examples
Run the examples. Either local Ajax Web server or terminal menu.
eisenmp_url # or eisenmp_menu
Get the documentation on readthedocs https://eisenmp.readthedocs.io/
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