Add m-esr52 at 52.6.0

1 files changed, 68 insertions, 0 deletions

diff --git a/taskcluster/taskgraph/action.py b/taskcluster/taskgraph/action.py
new file mode 100644
index 000000000..608fe3370
--- /dev/null
+++ b/taskcluster/taskgraph/action.py
@@ -0,0 +1,68 @@
+# -*- 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 .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.
+    """
+
+    decision_task_id = options['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(options['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_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