forked from mirrors/gecko-dev
		
	Differential Revision: https://phabricator.services.mozilla.com/D20048 --HG-- extra : moz-landing-system : lando
		
			
				
	
	
		
			133 lines
		
	
	
	
		
			5.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			133 lines
		
	
	
	
		
			5.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
# This Source Code Form is subject to the terms of the Mozilla Public
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# License, v. 2.0. If a copy of the MPL was not distributed with this
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# file, You can obtain one at http://mozilla.org/MPL/2.0/.
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from __future__ import absolute_import, print_function, unicode_literals
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import concurrent.futures as futures
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import json
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import os
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import sys
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import logging
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from slugid import nice as slugid
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from taskgraph.util.parameterization import resolve_timestamps
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from taskgraph.util.time import current_json_time
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from taskgraph.util.taskcluster import get_session, CONCURRENCY
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logger = logging.getLogger(__name__)
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# this is set to true for `mach taskgraph action-callback --test`
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testing = False
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def create_tasks(graph_config, taskgraph, label_to_taskid, params, decision_task_id=None):
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    taskid_to_label = {t: l for l, t in label_to_taskid.iteritems()}
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    decision_task_id = decision_task_id or os.environ.get('TASK_ID')
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    # when running as an actual decision task, we use the decision task's
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    # taskId as the taskGroupId.  The process that created the decision task
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    # helpfully placed it in this same taskGroup.  If there is no $TASK_ID,
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    # fall back to a slugid
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    task_group_id = decision_task_id or slugid()
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    scheduler_id = '{}-level-{}'.format(graph_config['trust-domain'], params['level'])
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    # Add the taskGroupId, schedulerId and optionally the decision task
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    # dependency
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    for task_id in taskgraph.graph.nodes:
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        task_def = taskgraph.tasks[task_id].task
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        # if this task has no dependencies *within* this taskgraph, make it
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        # depend on this decision task. If it has another dependency within
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        # the taskgraph, then it already implicitly depends on the decision
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        # task.  The result is that tasks do not start immediately. if this
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        # loop fails halfway through, none of the already-created tasks run.
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        if decision_task_id:
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            if not any(t in taskgraph.tasks for t in task_def.get('dependencies', [])):
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                task_def.setdefault('dependencies', []).append(decision_task_id)
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        task_def['taskGroupId'] = task_group_id
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        task_def['schedulerId'] = scheduler_id
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    # If `testing` is True, then run without parallelization
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    concurrency = CONCURRENCY if not testing else 1
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    session = get_session()
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    with futures.ThreadPoolExecutor(concurrency) as e:
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        fs = {}
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        # We can't submit a task until its dependencies have been submitted.
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        # So our strategy is to walk the graph and submit tasks once all
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        # their dependencies have been submitted.
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        tasklist = set(taskgraph.graph.visit_postorder())
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        alltasks = tasklist.copy()
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        def schedule_tasks():
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            # bail out early if any futures have failed
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            if any(f.done() and f.exception() for f in fs.values()):
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                return
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            to_remove = set()
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            new = set()
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            def submit(task_id, label, task_def):
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                fut = e.submit(create_task, session, task_id, label, task_def)
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                new.add(fut)
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                fs[task_id] = fut
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            for task_id in tasklist:
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                task_def = taskgraph.tasks[task_id].task
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                # If we haven't finished submitting all our dependencies yet,
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                # come back to this later.
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                # Some dependencies aren't in our graph, so make sure to filter
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                # those out
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                deps = set(task_def.get('dependencies', [])) & alltasks
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                if any((d not in fs or not fs[d].done()) for d in deps):
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                    continue
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                submit(task_id, taskid_to_label[task_id], task_def)
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                to_remove.add(task_id)
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                # Schedule tasks as many times as task_duplicates indicates
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                attributes = taskgraph.tasks[task_id].attributes
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                for i in range(1, attributes.get('task_duplicates', 1)):
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                    # We use slugid() since we want a distinct task id
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                    submit(slugid(), taskid_to_label[task_id], task_def)
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            tasklist.difference_update(to_remove)
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            # as each of those futures complete, try to schedule more tasks
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            for f in futures.as_completed(new):
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                schedule_tasks()
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        # start scheduling tasks and run until everything is scheduled
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        schedule_tasks()
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        # check the result of each future, raising an exception if it failed
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        for f in futures.as_completed(fs.values()):
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            f.result()
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def create_task(session, task_id, label, task_def):
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    # create the task using 'http://taskcluster/queue', which is proxied to the queue service
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    # with credentials appropriate to this job.
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    # Resolve timestamps
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    now = current_json_time(datetime_format=True)
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    task_def = resolve_timestamps(now, task_def)
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    if testing:
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        json.dump([task_id, task_def], sys.stdout,
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                  sort_keys=True, indent=4, separators=(',', ': '))
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        # add a newline
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        print("")
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        return
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    logger.debug("Creating task with taskId {} for {}".format(task_id, label))
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    res = session.put('http://taskcluster/queue/v1/task/{}'.format(task_id),
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                      data=json.dumps(task_def))
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    if res.status_code != 200:
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        try:
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            logger.error(res.json()['message'])
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        except Exception:
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            logger.error(res.text)
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        res.raise_for_status()
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