from __future__ import absolute_import from __future__ import unicode_literals import logging import operator import sys from threading import Thread from docker.errors import APIError from six.moves import _thread as thread from six.moves.queue import Empty from six.moves.queue import Queue from compose.cli.signals import ShutdownException from compose.utils import get_output_stream log = logging.getLogger(__name__) def parallel_execute(objects, func, get_name, msg, get_deps=None): """Runs func on objects in parallel while ensuring that func is ran on object only after it is ran on all its dependencies. get_deps called on object must return a collection with its dependencies. get_name called on object must return its name. """ objects = list(objects) stream = get_output_stream(sys.stderr) writer = ParallelStreamWriter(stream, msg) for obj in objects: writer.initialize(get_name(obj)) events = parallel_execute_stream(objects, func, get_deps) errors = {} results = [] error_to_reraise = None for obj, result, exception in events: if exception is None: writer.write(get_name(obj), 'done') results.append(result) elif isinstance(exception, APIError): errors[get_name(obj)] = exception.explanation writer.write(get_name(obj), 'error') elif isinstance(exception, UpstreamError): writer.write(get_name(obj), 'error') else: errors[get_name(obj)] = exception error_to_reraise = exception for obj_name, error in errors.items(): stream.write("\nERROR: for {} {}\n".format(obj_name, error)) if error_to_reraise: raise error_to_reraise return results def _no_deps(x): return [] def parallel_execute_stream(objects, func, get_deps): if get_deps is None: get_deps = _no_deps results = Queue() output = Queue() t = Thread(target=queue_consumer, args=(objects, func, get_deps, results, output)) t.daemon = True t.start() done = 0 while done < len(objects): try: yield output.get(timeout=1) done += 1 except Empty: continue # See https://github.com/docker/compose/issues/189 except thread.error: raise ShutdownException() def queue_producer(obj, func, results): try: result = func(obj) results.put((obj, result, None)) except Exception as e: results.put((obj, None, e)) def queue_consumer(objects, func, get_deps, results, output): started = set() # objects being processed finished = set() # objects which have been processed failed = set() # objects which either failed or whose dependencies failed while len(finished) + len(failed) < len(objects): pending = set(objects) - started - finished - failed log.debug('Pending: {}'.format(pending)) for obj in pending: deps = get_deps(obj) if any(dep in failed for dep in deps): log.debug('{} has upstream errors - not processing'.format(obj)) output.put((obj, None, UpstreamError())) failed.add(obj) elif all( dep not in objects or dep in finished for dep in deps ): log.debug('Starting producer thread for {}'.format(obj)) t = Thread(target=queue_producer, args=(obj, func, results)) t.daemon = True t.start() started.add(obj) try: event = results.get(timeout=1) except Empty: continue obj, _, exception = event if exception is None: log.debug('Finished processing: {}'.format(obj)) finished.add(obj) else: log.debug('Failed: {}'.format(obj)) failed.add(obj) output.put(event) class UpstreamError(Exception): pass class ParallelStreamWriter(object): """Write out messages for operations happening in parallel. Each operation has it's own line, and ANSI code characters are used to jump to the correct line, and write over the line. """ def __init__(self, stream, msg): self.stream = stream self.msg = msg self.lines = [] def initialize(self, obj_index): if self.msg is None: return self.lines.append(obj_index) self.stream.write("{} {} ... \r\n".format(self.msg, obj_index)) self.stream.flush() def write(self, obj_index, status): if self.msg is None: return position = self.lines.index(obj_index) diff = len(self.lines) - position # move up self.stream.write("%c[%dA" % (27, diff)) # erase self.stream.write("%c[2K\r" % 27) self.stream.write("{} {} ... {}\r".format(self.msg, obj_index, status)) # move back down self.stream.write("%c[%dB" % (27, diff)) self.stream.flush() def parallel_operation(containers, operation, options, message): parallel_execute( containers, operator.methodcaller(operation, **options), operator.attrgetter('name'), message) def parallel_remove(containers, options): stopped_containers = [c for c in containers if not c.is_running] parallel_operation(stopped_containers, 'remove', options, 'Removing') def parallel_start(containers, options): parallel_operation(containers, 'start', options, 'Starting') def parallel_pause(containers, options): parallel_operation(containers, 'pause', options, 'Pausing') def parallel_unpause(containers, options): parallel_operation(containers, 'unpause', options, 'Unpausing') def parallel_kill(containers, options): parallel_operation(containers, 'kill', options, 'Killing') def parallel_restart(containers, options): parallel_operation(containers, 'restart', options, 'Restarting')