def open_file_worker(input_queue, results_queue):
'''Worker process to handle open_file operations.'''
for fullpath in iter(input_queue.get, None):
file_interpreters = plugin_manager.file_interpreters
try:
results = open_data_file(fullpath, file_interpreters)
except:
results = []
traceback.print_exc()
results_queue.put(results)
def open_files(self, fullpaths, **kwargs):
'''
Open a multiple data files. Returns a list of
'list of trials created'.
'''
file_interpreters = plugin_manager.file_interpreters
if len(fullpaths) == 1:
try:
results = open_data_file(fullpaths[0], file_interpreters,
**kwargs)
except:
results = []
traceback.print_exc()
return results
num_process_workers = config_manager.get_num_workers()
if len(fullpaths) < num_process_workers:
num_process_workers = len(fullpaths)
# setup the input and return queues.
input_queue = multiprocessing.Queue()
for fullpath in fullpaths:
input_queue.put(fullpath)
for i in xrange(num_process_workers):
input_queue.put(None)
results_queue = multiprocessing.Queue()
# start the jobs
jobs = []
for i in xrange(num_process_workers):
job = multiprocessing.Process(target=open_file_worker,
args=(input_queue,
results_queue))
job.start()
jobs.append(job)
# collect the results, waiting for all the jobs to complete
results_list = []
for i in xrange(len(fullpaths)):
# file_interpreters return list of trial objects.
results_list.extend(results_queue.get())
for job in jobs:
job.join() # halt this thread until processes are all complete.
return results_list
