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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-07 17:32:43 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-07 17:32:43 +0000
commit6bf0a5cb5034a7e684dcc3500e841785237ce2dd (patch)
treea68f146d7fa01f0134297619fbe7e33db084e0aa /taskcluster/gecko_taskgraph/util/taskgraph.py
parentInitial commit. (diff)
downloadthunderbird-6bf0a5cb5034a7e684dcc3500e841785237ce2dd.tar.xz
thunderbird-6bf0a5cb5034a7e684dcc3500e841785237ce2dd.zip
Adding upstream version 1:115.7.0.upstream/1%115.7.0upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'taskcluster/gecko_taskgraph/util/taskgraph.py')
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diff --git a/taskcluster/gecko_taskgraph/util/taskgraph.py b/taskcluster/gecko_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"""
+ head_rev_param = "{}head_rev".format(graph_config["project-repo-param-prefix"])
+ return find_task_id(
+ "{}.v2.{}.revision.{}.taskgraph.decision".format(
+ graph_config["trust-domain"],
+ parameters["project"],
+ parameters[head_rev_param],
+ )
+ )
+
+
+def find_existing_tasks(previous_graph_ids):
+ existing_tasks = {}
+ for previous_graph_id in previous_graph_ids:
+ label_to_taskid = get_artifact(previous_graph_id, "public/label-to-taskid.json")
+ existing_tasks.update(label_to_taskid)
+ return existing_tasks
+
+
+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 = find_existing_tasks(previous_graph_ids)
+ kind_labels = {
+ t.label
+ for t in full_task_graph.tasks.values()
+ if t.attributes["kind"] not in rebuild_kinds
+ }
+ return {
+ label: taskid
+ for (label, taskid) in existing_tasks.items()
+ if label in kind_labels
+ }