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Quelle  retrigger_custom.py   Sprache: Python

 
# 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/.


import json
import logging

from taskgraph.util.parameterization import resolve_task_references
from taskgraph.util.taskcluster import get_task_definition

from .registry import register_callback_action
from .util import create_task_from_def, fetch_graph_and_labels

logger = logging.getLogger(__name__)

# Properties available for custom retrigger of any supported test suites
basic_properties = {
    "path": {
        "type""string",
        "maxLength": 255,
        "default""",
        "title""Path name",
        "description""Path of test(s) to retrigger",
    },
    "logLevel": {
        "type""string",
        "enum": ["debug""info""warning""error""critical"],
        "default""info",
        "title""Log level",
        "description""Log level for output (INFO is normal, DEBUG gives more detail)",
    },
    "environment": {
        "type""object",
        "default": {"MOZ_LOG"""},
        "title""Extra environment variables",
        "description""Extra environment variables to use for this run",
        "additionalProperties": {"type""string"},
    },
}

# Additional properties available for custom retrigger of some additional test suites
extended_properties = basic_properties.copy()
extended_properties.update(
    {
        "runUntilFail": {
            "type""boolean",
            "default"False,
            "title""Run until failure",
            "description": (
                "Runs the specified set of tests repeatedly "
                "until failure (up to REPEAT times)"
            ),
        },
        "repeat": {
            "type""integer",
            "default": 0,
            "minimum": 0,
            "title""Repeat test(s) N times",
            "description": (
                "Run test(s) repeatedly (usually used in "
                "conjunction with runUntilFail)"
            ),
        },
        "preferences": {
            "type""object",
            "default": {"remote.log.level""Info"},
            "title""Extra gecko (about:config) preferences",
            "description""Extra gecko (about:config) preferences to use for this run",
            "additionalProperties": {"type""string"},
        },
    }
)


@register_callback_action(
    name="retrigger-custom",
    title="Retrigger task with custom parameters",
    symbol="rt",
    description="Retriggers the specified task with custom environment and parameters",
    context=[
        {"test-type""mochitest""worker-implementation""docker-worker"},
        {"test-type""reftest""worker-implementation""docker-worker"},
        {"test-type""geckoview-junit""worker-implementation""docker-worker"},
    ],
    order=10,
    schema={
        "type""object",
        "properties": extended_properties,
        "additionalProperties"False,
        "required": ["path"],
    },
)
def extended_custom_retrigger_action(
    parameters, graph_config, input, task_group_id, task_id
):
    handle_custom_retrigger(parameters, graph_config, input, task_group_id, task_id)


@register_callback_action(
    name="retrigger-custom (gtest)",
    title="Retrigger gtest task with custom parameters",
    symbol="rt",
    description="Retriggers the specified task with custom environment and parameters",
    context=[{"test-type""gtest""worker-implementation""docker-worker"}],
    order=10,
    schema={
        "type""object",
        "properties": basic_properties,
        "additionalProperties"False,
        "required": ["path"],
    },
)
def basic_custom_retrigger_action_basic(
    parameters, graph_config, input, task_group_id, task_id
):
    handle_custom_retrigger(parameters, graph_config, input, task_group_id, task_id)


def handle_custom_retrigger(parameters, graph_config, input, task_group_id, task_id):
    task = get_task_definition(task_id)
    decision_task_id, full_task_graph, label_to_taskid, _ = fetch_graph_and_labels(
        parameters, graph_config
    )

    pre_task = full_task_graph.tasks[task["metadata"]["name"]]

    # fix up the task's dependencies, similar to how optimization would
    # have done in the decision
    dependencies = {
        name: label_to_taskid[label] for name, label in pre_task.dependencies.items()
    }
    new_task_definition = resolve_task_references(
        pre_task.label, pre_task.task, task_id, decision_task_id, dependencies
    )
    new_task_definition.setdefault("dependencies", []).extend(dependencies.values())

    # don't want to run mozharness tests, want a custom mach command instead
    new_task_definition["payload"]["command"] += ["--no-run-tests"]

    custom_mach_command = [task["tags"]["test-type"]]

    # mochitests may specify a flavor
    if new_task_definition["payload"]["env"].get("MOCHITEST_FLAVOR"):
        custom_mach_command += [
            "--keep-open=false",
            "-f",
            new_task_definition["payload"]["env"]["MOCHITEST_FLAVOR"],
        ]

    enable_e10s = json.loads(
        new_task_definition["payload"]["env"].get("ENABLE_E10S""true")
    )
    if not enable_e10s:
        custom_mach_command += ["--disable-e10s"]

    custom_mach_command += [
        "--log-tbpl=-",
        "--log-tbpl-level={}".format(input.get("logLevel""debug")),
    ]
    if input.get("runUntilFail"):
        custom_mach_command += ["--run-until-failure"]
    if input.get("repeat"):
        custom_mach_command += ["--repeat", str(input.get("repeat", 30))]

    # add any custom gecko preferences
    for key, val in input.get("preferences", {}).items():
        custom_mach_command += ["--setpref", f"{key}={val}"]

    custom_mach_command += [input["path"]]
    new_task_definition["payload"]["env"]["CUSTOM_MACH_COMMAND"] = " ".join(
        custom_mach_command
    )

    # update environment
    new_task_definition["payload"]["env"].update(input.get("environment", {}))

    # tweak the treeherder symbol
    new_task_definition["extra"]["treeherder"]["symbol"] += "-custom"

    logging.info("New task definition: %s", new_task_definition)

    create_task_from_def(
        new_task_definition, parameters["level"], action_tag="retrigger-custom-task"
    )

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