Refactor parallel execute
Refactored parallel execute and execute create into a single function parallel_execute that can now handle both cases. This helps untangle it from being so tightly coupled to the container. Updated all the relevant operations to use the refactored function. Signed-off-by: Mazz Mosley <mazz@houseofmnowster.com>
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3 changed files with 72 additions and 87 deletions
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@ -12,114 +12,75 @@ from threading import Thread
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log = logging.getLogger(__name__)
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def parallel_create_execute(create_function, container_numbers, msgs={}, **options):
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def parallel_execute(objects, obj_callable, msg_index, msg):
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"""
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Parallel container creation by calling the create_function for each new container
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number passed in.
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For a given list of objects, call the callable passing in the first
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object we give it.
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"""
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stream = codecs.getwriter('utf-8')(sys.stdout)
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lines = []
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errors = {}
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for number in container_numbers:
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write_out_msg(stream, lines, number, msgs['doing'])
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for obj in objects:
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write_out_msg(stream, lines, msg_index(obj), msg)
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q = Queue()
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def inner_call_function(create_function, number):
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def inner_execute_function(an_callable, parameter, msg_index):
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try:
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container = create_function(number)
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result = an_callable(parameter)
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except APIError as e:
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errors[number] = e.explanation
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q.put(container)
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errors[msg_index] = e.explanation
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result = "error"
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q.put((msg_index, result))
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for number in container_numbers:
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for an_object in objects:
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t = Thread(
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target=inner_call_function,
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args=(create_function, number),
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kwargs=options,
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target=inner_execute_function,
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args=(obj_callable, an_object, msg_index(an_object)),
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)
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t.daemon = True
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t.start()
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done = 0
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total_to_create = len(container_numbers)
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while done < total_to_create:
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total_to_execute = len(objects)
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while done < total_to_execute:
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try:
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container = q.get(timeout=1)
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write_out_msg(stream, lines, container.name, msgs['done'])
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msg_index, result = q.get(timeout=1)
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if result == 'error':
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write_out_msg(stream, lines, msg_index, msg, status='error')
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else:
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write_out_msg(stream, lines, msg_index, msg)
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done += 1
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except Empty:
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pass
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if errors:
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for number in errors:
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stream.write("ERROR: for {} {} \n".format(number, errors[number]))
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for error in errors:
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stream.write("ERROR: for {} {} \n".format(error, errors[error]))
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def parallel_execute(command, containers, doing_msg, done_msg, **options):
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"""
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Execute a given command upon a list of containers in parallel.
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"""
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stream = codecs.getwriter('utf-8')(sys.stdout)
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lines = []
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errors = {}
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for container in containers:
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write_out_msg(stream, lines, container.name, doing_msg)
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q = Queue()
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def container_command_execute(container, command, **options):
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try:
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getattr(container, command)(**options)
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except APIError as e:
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errors[container.name] = e.explanation
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q.put(container)
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for container in containers:
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t = Thread(
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target=container_command_execute,
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args=(container, command),
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kwargs=options,
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)
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t.daemon = True
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t.start()
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done = 0
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while done < len(containers):
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try:
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container = q.get(timeout=1)
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write_out_msg(stream, lines, container.name, done_msg)
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done += 1
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except Empty:
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pass
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if errors:
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for container in errors:
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stream.write("ERROR: for {} {} \n".format(container, errors[container]))
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def write_out_msg(stream, lines, container_name, msg):
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def write_out_msg(stream, lines, msg_index, msg, status="done"):
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"""
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Using special ANSI code characters we can write out the msg over the top of
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a previous status message, if it exists.
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"""
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if container_name in lines:
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position = lines.index(container_name)
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obj_index = msg_index
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if msg_index in lines:
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position = lines.index(obj_index)
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diff = len(lines) - position
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# move up
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stream.write("%c[%dA" % (27, diff))
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# erase
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stream.write("%c[2K\r" % 27)
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stream.write("{}: {} \n".format(container_name, msg))
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stream.write("{} {}... {}\n".format(msg, obj_index, status))
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# move back down
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stream.write("%c[%dB" % (27, diff))
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else:
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diff = 0
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lines.append(container_name)
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stream.write("{}: {}... \r\n".format(container_name, msg))
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lines.append(obj_index)
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stream.write("{} {}... \r\n".format(msg, obj_index))
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stream.flush()
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