polymer 0.0.10

Polymer

Summary

A simple framework to run tasks in parallel.

Usage

import time

from polymer.Polymer import ControllerQueue, TaskMgr
from polymer.abc_task import BaseTask

class SimpleTask(BaseTask):
   def __init__(self, text="", wait=0.0):
       super(SimpleTask, self).__init__()
       self.text = text
       self.wait = wait

   def run(self):
       """run() is where all the work is done; this is called by TaskMgr()"""
       time.sleep(float(self.wait/10))
       print self.text

   def __eq__(self, other):
       """Define how tasks are uniquely identified"""
       if other.text==self.text:
           return True
       return False

   def __repr__(self):
       return """<{0}, wait: {1}>""".format(self.text, self.wait)

class Controller(object):
   """Controller() builds a list of tasks, and queues them to the TaskMgr
   There is nothing special about the name Controller()... it's just some
   code to build a list of SimpleTask() instances."""
   def __init__(self):

       tasks = list()
       ## Build ten tasks... do *not* depend on execution order...
       num_tasks = 10
       for ii in range(0, num_tasks):
           tasks.append(SimpleTask(text="Task {0}".format(ii), wait=ii))

       args = {
           'hot_loop': False,           # If True, it continuously runs jobs
           'queue': ControllerQueue(),
           'work_todo': tasks,          # List of SimpleTask() instances
           'log_level': 0,              # Logging off (debugging=3)
           'worker_count': 3,           # Number of workers (default: 5)
           'worker_cycle_sleep': 0.001,
           'resubmit_on_error': False,  # Do not retry errored jobs...
       }

       ## task_mgr reads and executes the queued tasks
       task_mgr = TaskMgr(**args)

       ## a set() of completed task objects are returned after supervise()
       results = task_mgr.supervise()

if __name__=='__main__':
   Controller()

License

GPLv3