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@@ -2,13 +2,11 @@ import codecs
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import hashlib
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import json
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import logging
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-import os
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import sys
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from docker.errors import APIError
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-import concurrent.futures
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-
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-from .const import DEFAULT_MAX_WORKERS
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+from Queue import Queue, Empty
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+from threading import Thread
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log = logging.getLogger(__name__)
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@@ -18,7 +16,6 @@ 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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- max_workers = os.environ.get('COMPOSE_MAX_WORKERS', DEFAULT_MAX_WORKERS)
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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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@@ -26,25 +23,33 @@ def parallel_execute(command, containers, doing_msg, done_msg, **options):
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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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+
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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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+
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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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+
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+ done = 0
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- with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
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- future_container = {
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- executor.submit(
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- container_command_execute,
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- container,
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- command,
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- **options
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- ): container for container in containers
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- }
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-
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- for future in concurrent.futures.as_completed(future_container):
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- container = future_container[future]
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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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