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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-19 00:47:55 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-19 00:47:55 +0000
commit26a029d407be480d791972afb5975cf62c9360a6 (patch)
treef435a8308119effd964b339f76abb83a57c29483 /third_party/python/taskcluster_taskgraph/taskgraph/util/taskgraph.py
parentInitial commit. (diff)
downloadfirefox-26a029d407be480d791972afb5975cf62c9360a6.tar.xz
firefox-26a029d407be480d791972afb5975cf62c9360a6.zip
Adding upstream version 124.0.1.upstream/124.0.1
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'third_party/python/taskcluster_taskgraph/taskgraph/util/taskgraph.py')
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diff --git a/third_party/python/taskcluster_taskgraph/taskgraph/util/taskgraph.py b/third_party/python/taskcluster_taskgraph/taskgraph/util/taskgraph.py
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+# 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/.
+
+"""
+Tools for interacting with existing taskgraphs.
+"""
+
+
+from taskgraph.util.taskcluster import find_task_id, get_artifact
+
+
+def find_decision_task(parameters, graph_config):
+ """Given the parameters for this action, find the taskId of the decision
+ task"""
+ if parameters.get("repository_type", "hg") == "hg":
+ return find_task_id(
+ "{}.v2.{}.pushlog-id.{}.decision".format(
+ graph_config["trust-domain"],
+ parameters["project"],
+ parameters["pushlog_id"],
+ )
+ )
+ elif parameters["repository_type"] == "git":
+ return find_task_id(
+ "{}.v2.{}.revision.{}.taskgraph.decision".format(
+ graph_config["trust-domain"],
+ parameters["project"],
+ parameters["head_rev"],
+ )
+ )
+ else:
+ raise Exception(
+ "Unknown repository_type {}!".format(parameters["repository_type"])
+ )
+
+
+def find_existing_tasks_from_previous_kinds(
+ full_task_graph, previous_graph_ids, rebuild_kinds
+):
+ """Given a list of previous decision/action taskIds and kinds to ignore
+ from the previous graphs, return a dictionary of labels-to-taskids to use
+ as ``existing_tasks`` in the optimization step."""
+ existing_tasks = {}
+ for previous_graph_id in previous_graph_ids:
+ label_to_taskid = get_artifact(previous_graph_id, "public/label-to-taskid.json")
+ kind_labels = {
+ t.label
+ for t in full_task_graph.tasks.values()
+ if t.attributes["kind"] not in rebuild_kinds
+ }
+ for label in set(label_to_taskid.keys()).intersection(kind_labels):
+ existing_tasks[label] = label_to_taskid[label]
+ return existing_tasks