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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
These transformations take a task description for a visual metrics task and
add the necessary environment variables to run on the given inputs.
from __future__ import absolute_import, print_function, unicode_literals
import os
from taskgraph.transforms.base import TransformSequence
transforms = TransformSequence()
SYMBOL = "%(groupSymbol)s(%(symbol)s-vismet)"
# the test- prefix makes the task SETA-optimized.
LABEL = "test-vismet-%(platform)s-%(raptor_try_name)s"
def run_visual_metrics(config, jobs):
for job in jobs:
dep_job = job.pop("primary-dependency", None)
if dep_job is not None:
platform = dep_job.task["extra"]["treeherder-platform"]
job["dependencies"] = {dep_job.label: dep_job.label}
job["fetches"][dep_job.label] = [
attributes = dict(dep_job.attributes)
attributes["platform"] = platform
job["label"] = LABEL % attributes
treeherder_info = dict(dep_job.task["extra"]["treeherder"])
job["treeherder"]["symbol"] = SYMBOL % treeherder_info
# Store the platform name so we can use it to calculate
# the similarity metric against other tasks
job["worker"].setdefault("env", {})["TC_LABEL"] = dep_job.label
# Setting the `TC_GROUP_ID` environment variable to a task group ID
# is a simple way to compare videos to a specific task group
job["worker"]["env"]["TC_GROUP_ID"] = os.getenv("TC_GROUP_ID", "")
# vismet runs on Linux but we want to have it displayed
# alongside the job it was triggered by to make it easier for
# people to find it back.
job["treeherder"]["platform"] = platform
job["treeherder"]["tier"] = treeherder_info["tier"]
# run-on-projects needs to be set based on the dependent task
job["run-on-projects"] = attributes["run_on_projects"]
yield job