`fetch_graph_and_labels` grabs the `label_to_taskid` mapping from the original decision task plus any action and cron tasks on the same revision. In that process it only keeps track of one task id per label (whichever it sees last). In most cases that's not a big deal, but there's a couple of instances where it matters: - the `rerun` action checks that the input task id is part of the mapping, and doesn't do anything if it is not, so won't rerun a task that was part of the initial graph and whose label was re-used later (e.g. from a retrigger) - the `retrigger-multiple` action checks to see if a label should be rerun instead, and in that case uses the label_to_taskid mapping to decide which exact task to rerun. Again if there's more than one task on that revision with the same label (e.g. from a forced retrigger or cron), it might not pick the expected one. Fix this by having `fetch_graph_and_labels` also return a `label_to_taskids` mapping. The `rerun` action's check now looks for the task id there instead of the incomplete `label_to_taskid`, and `retrigger-multiple` attempts to rerun all tasks with the given label instead of just one. Differential Revision: https://phabricator.services.mozilla.com/D194600
60 lines
1.7 KiB
Python
60 lines
1.7 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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import logging
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from ..target_tasks import standard_filter
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from .registry import register_callback_action
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from .util import create_tasks, fetch_graph_and_labels
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logger = logging.getLogger(__name__)
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@register_callback_action(
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name="run-all-talos",
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title="Run All Talos Tests",
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symbol="raT",
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description="Add all Talos tasks to a push.",
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order=150,
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context=[],
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schema={
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"type": "object",
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"properties": {
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"times": {
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"type": "integer",
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"default": 1,
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"minimum": 1,
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"maximum": 6,
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"title": "Times",
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"description": "How many times to run each task.",
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}
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},
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"additionalProperties": False,
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},
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)
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def add_all_talos(parameters, graph_config, input, task_group_id, task_id):
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decision_task_id, full_task_graph, label_to_taskid, _ = fetch_graph_and_labels(
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parameters, graph_config
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)
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times = input.get("times", 1)
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for i in range(times):
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to_run = [
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label
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for label, entry in full_task_graph.tasks.items()
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if "talos_try_name" in entry.attributes
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and standard_filter(entry, parameters)
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]
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create_tasks(
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graph_config,
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to_run,
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full_task_graph,
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label_to_taskid,
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parameters,
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decision_task_id,
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)
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logger.info(f"Scheduled {len(to_run)} talos tasks (time {i + 1}/{times})")
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