Metadata-Version: 1.1
Name: polymer
Version: 0.0.27
Summary: Polymer
Home-page: http://github.com/mpenning/polymer
Author: David Michael Pennington
Author-email: mike@pennington.net
License: GPL
Description: Summary
        -------
        
        A simple framework to run tasks in parallel.  It's similar to 
        multiprocessing.Pool, but has a few enhancements over that.  For example,
        mp.Pool is only useful for multiprocessing functions (not objects).  You can
        wrap a function around the object, but it's nicer just to deal with task
        objects themselves.
        
        Polymer is mostly useful for its Worker error logging and run-time statistics.
        It also restarts crashed multiprocessing workers automatically (not true with
        multiprocessing.Pool).  When a worker crashes, Polymer knows what the worker 
        was doing and resubmits that task as well.  This definitely is not fool-proof;
        however, it's a helpful feature.
        
        Usage
        -----
        
        .. code:: python
        
           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()"""
                  ## WARNING... using try / except in run() could squash Polymer's
                  ##      internal error logging...
                  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)
        
           def Controller():
               """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."""
        
               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))
        
               targs = {
                   'work_todo': tasks,  # a list of SimpleTask() instances
                   'hot_loop': False,   # If True, continuously loop over the tasks
                   'log_level': 0,              # Logging off (debugging=3)
                   'worker_count': 3,           # Number of workers (default: 5)
                   'resubmit_on_error': False,  # Do not retry errored jobs...
                   'queue': ControllerQueue(),
                   'worker_cycle_sleep': 0.001, # Worker sleep time after a task
                   'log_stdout': False,         # Don't log to stdout (default: True)
                   'log_path':  "taskmgr.log",  # Log file name
                   'log_interval': 10,          # Statistics logging interval
               }
        
               ## task_mgr reads and executes the queued tasks
               task_mgr = TaskMgr(**targs)
        
               ## a set() of completed task objects are returned after supervise()
               results = task_mgr.supervise()
               return results
        
           if __name__=='__main__':
               Controller()
        
        License
        -------
        
        GPLv3
        
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Plugins
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development :: Libraries :: Python Modules
