Parallelise scale

Signed-off-by: Mazz Mosley <mazz@houseofmnowster.com>
This commit is contained in:
Mazz Mosley 2015-07-17 17:40:14 +01:00
commit 5c29ded6ac
2 changed files with 79 additions and 27 deletions

View file

@ -12,6 +12,51 @@ from threading import Thread
log = logging.getLogger(__name__)
def parallel_create_execute(create_function, container_numbers, msgs={}, **options):
"""
Parallel container creation by calling the create_function for each new container
number passed in.
"""
stream = codecs.getwriter('utf-8')(sys.stdout)
lines = []
errors = {}
for number in container_numbers:
write_out_msg(stream, lines, number, msgs['doing'])
q = Queue()
def inner_call_function(create_function, number):
try:
container = create_function(number)
except APIError as e:
errors[number] = e.explanation
q.put(container)
for number in container_numbers:
t = Thread(
target=inner_call_function,
args=(create_function, number),
kwargs=options,
)
t.daemon = True
t.start()
done = 0
total_to_create = len(container_numbers)
while done < total_to_create:
try:
container = q.get(timeout=1)
write_out_msg(stream, lines, container.name, msgs['done'])
done += 1
except Empty:
pass
if errors:
for number in errors:
stream.write("ERROR: for {} {} \n".format(number, errors[number]))
def parallel_execute(command, containers, doing_msg, done_msg, **options):
"""
Execute a given command upon a list of containers in parallel.