Threading and multiprocessing eye-candy.
Project description
Pebble provides a neat API to manage threads and processes within an application.
Examples
Run a job in a separate thread and wait for its results:
from pebble import concurrent @concurrent.thread def function(foo, bar=0): return foo + bar future = function(1, bar=2) result = future.result() # blocks until results are ready
Run a function with a timeout of ten seconds and deal with errors:
from pebble import concurrent from concurrent.futures import TimeoutError @concurrent.process(timeout=10) def function(foo, bar=0): return foo + bar future = function(1, bar=2) try: result = future.result() # blocks until results are ready except TimeoutError as error: print("Function took longer than %d seconds" % error.args[1]) except Exception as error: print("Function raised %s" % error) print(error.traceback) # traceback of the function
Pools support workers restart, timeout for long running tasks and more:
from pebble import ProcessPool from concurrent.futures import TimeoutError def function(foo, bar=0): return foo + bar def task_done(future): try: result = future.result() # blocks until results are ready except TimeoutError as error: print("Function took longer than %d seconds" % error.args[1]) except Exception as error: print("Function raised %s" % error) print(error.traceback) # traceback of the function with ProcessPool(max_workers=5, max_tasks=10) as pool: for i in range(0, 10): future = pool.schedule(function, args=[i], timeout=3) future.add_done_callback(task_done)
More examples in the documentation.
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