# 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/. """ 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" @transforms.add 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] = [ "/public/test_info/browsertime-results.tgz" ] 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