gecko-dev/taskcluster/taskgraph/action.py
Kalpesh Krishna 87f3ac8197 Bug 1305989 - Update usage of create_tasks() in action tasks. r=dustin
--HG--
extra : rebase_source : c8bdd1c4972ec2363f31d371ed9e1e9368d367f0
2016-09-28 09:43:00 -04:00

83 lines
3.0 KiB
Python

# -*- coding: utf-8 -*-
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
from __future__ import absolute_import, print_function, unicode_literals
import json
import logging
import requests
import yaml
from .create import create_tasks
from .decision import write_artifact
from .parameters import Parameters
from .optimize import optimize_task_graph
from .taskgraph import TaskGraph
logger = logging.getLogger(__name__)
TASKCLUSTER_QUEUE_URL = "https://queue.taskcluster.net/v1/task/"
def taskgraph_action(options):
"""
Run the action task. This function implements `mach taskgraph action-task`,
and is responsible for
* creating taskgraph of tasks asked for in parameters with respect to
a given gecko decision task and schedule these jobs.
"""
parameters = get_action_parameters(options)
decision_task_id = parameters['decision_id']
# read in the full graph for reference
full_task_json = get_artifact(decision_task_id, "public/full-task-graph.json")
decision_params = get_artifact(decision_task_id, "public/parameters.yml")
all_tasks, full_task_graph = TaskGraph.from_json(full_task_json)
target_tasks = set(parameters['task_labels'].split(','))
target_graph = full_task_graph.graph.transitive_closure(target_tasks)
target_task_graph = TaskGraph(
{l: all_tasks[l] for l in target_graph.nodes},
target_graph)
existing_tasks = get_artifact(decision_task_id, "public/label-to-taskid.json")
# We don't want to optimize target tasks since they have been requested by user
# Hence we put `target_tasks under` `do_not_optimize`
optimized_graph, label_to_taskid = optimize_task_graph(target_task_graph=target_task_graph,
params=decision_params,
do_not_optimize=target_tasks,
existing_tasks=existing_tasks)
# write out the optimized task graph to describe what will actually happen,
# and the map of labels to taskids
write_artifact('task-graph.json', optimized_graph.to_json())
write_artifact('label-to-taskid.json', label_to_taskid)
# actually create the graph
create_tasks(optimized_graph, label_to_taskid, decision_params)
def get_action_parameters(options):
"""
Load parameters from the command-line options for 'taskgraph action'.
"""
parameters = {n: options[n] for n in [
'decision_id',
'task_labels',
] if n in options}
return Parameters(parameters)
def get_artifact(task_id, path):
url = TASKCLUSTER_QUEUE_URL + task_id + "/artifacts/" + path
resp = requests.get(url=url)
if path.endswith('.json'):
artifact = json.loads(resp.text)
elif path.endswith('.yml'):
artifact = yaml.load(resp.text)
return artifact