# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM-Omni project

"""Unit tests for the Omni serve CLI helpers."""

from __future__ import annotations

import argparse
from dataclasses import dataclass
from multiprocessing.reduction import ForkingPickler
from types import SimpleNamespace
from typing import Any

import pytest
from pytest_mock import MockerFixture
from vllm.v1.engine.utils import EngineZmqAddresses

from vllm_omni.config.omni_config import (
    VllmOmniDiffusionStageConfig,
    normalize_and_validate_diffusion_engine_ingress_kwargs,
)
from vllm_omni.config.resolver import OmniConfigResolution
from vllm_omni.engine.stage_engine_startup import StageReplicaResources
from vllm_omni.engine.stage_runtime import StageEngineLaunch
from vllm_omni.entrypoints.cli.serve import (
    OmniServeCommand,
    _parse_stage_overrides,
    run_headless,
)
from vllm_omni.entrypoints.utils import parse_stage_overrides
from vllm_omni.utils.tracking_parser import TrackingArgumentParser, TrackingNamespace

pytestmark = [pytest.mark.core_model, pytest.mark.cpu]


@dataclass(frozen=True)
class _FakeProcess:
    sentinel: str
    exitcode: int | None
    name: str
    pid: int


@dataclass
class _FakeProcessOwner:
    processes: list[_FakeProcess]


@dataclass
class _FakeStageEngineArgs:
    async_chunk: bool
    enable_sleep_mode: bool


@dataclass
class _FakeStageConfig:
    stage_id: int
    engine_args: _FakeStageEngineArgs


def _resolved(*stages: SimpleNamespace) -> OmniConfigResolution:
    return OmniConfigResolution(config_path="/fake/stages.yaml", stage_configs=tuple(stages))


def test_serve_parser_accepts_no_async_chunk_and_marks_it_explicit() -> None:
    """``--no-async-chunk`` should parse to ``async_chunk=False`` and mark the
    shared deploy-level dest as explicitly provided by the user."""
    parser = TrackingArgumentParser()
    subparsers = parser.add_subparsers(dest="subcommand")
    cmd = OmniServeCommand()
    cmd.subparser_init(subparsers)

    argv = ["serve", "fake-model", "--omni", "--no-async-chunk"]
    args = parser.parse_args(argv)
    assert args.async_chunk is False

    explicit = args.get_explicit_kwargs_dict()
    assert args.get_explicit_kwargs_dict()
    assert not explicit["async_chunk"]
    assert (args.api_server_count or 1) == 1
    assert "api_server_count" not in explicit


def test_serve_parser_accepts_vae_fast_path() -> None:
    parser = TrackingArgumentParser()
    subparsers = parser.add_subparsers(dest="subcommand")
    OmniServeCommand().subparser_init(subparsers)

    args = parser.parse_args(["serve", "fake-model", "--omni"])
    assert args.vae_fast_path == "lossless"
    assert "vae_fast_path" not in args.get_explicit_kwargs_dict()

    args = parser.parse_args(["serve", "fake-model", "--omni", "--vae-fast-path", "channels_last"])
    assert args.vae_fast_path == "channels_last"
    assert args.get_explicit_kwargs_dict()["vae_fast_path"] == "channels_last"

    with pytest.raises(SystemExit):
        parser.parse_args(["serve", "fake-model", "--omni", "--vae-fast-path", "fast"])


def _parse_serve_args(argv: list[str]) -> TrackingNamespace:
    """Parse a ``serve`` argv through the real Omni parser, returning the
    TrackingNamespace (with ``explicit_keys``) that ``validate`` receives."""
    parser = TrackingArgumentParser()
    subparsers = parser.add_subparsers(dest="subcommand")
    OmniServeCommand().subparser_init(subparsers)
    return parser.parse_args(argv)


def test_no_guardrails_is_only_forwarded_as_model_config(mocker: MockerFixture) -> None:
    """The CLI alias must not reach the strict diffusion config validator."""
    parser = TrackingArgumentParser()
    subparsers = parser.add_subparsers(dest="subparser")
    OmniServeCommand().subparser_init(subparsers)
    args = parser.parse_args(["serve", "fake-model", "--omni", "--no-guardrails"])
    assert args.get_explicit_kwargs_dict()["no_guardrails"] is True

    # Keep the real CLI parser and config validator, but do not start a server.
    args.headless = True
    mocker.patch.dict("os.environ", {"VLLM_DISABLE_LOG_LOGO": "1"})
    mocker.patch("vllm_omni.entrypoints.cli.serve.run_headless")
    OmniServeCommand.cmd(args)

    explicit = args.get_explicit_kwargs_dict()
    normalized = normalize_and_validate_diffusion_engine_ingress_kwargs(explicit, stage_id=0)
    assert normalized["model_config"]["guardrails"] is False
    assert "no_guardrails" not in explicit


def test_omni_serve_requires_model_when_none_provided() -> None:
    """Regression for https://github.com/vllm-project/vllm-omni/issues/4158:
    ``vllm serve --omni`` with no model must fail fast instead of silently
    falling back to vLLM's default model and crashing in the diffusion worker.
    """
    args = _parse_serve_args(["serve", "--omni"])
    cmd = OmniServeCommand()
    with pytest.raises(ValueError, match="requires an explicit model"):
        cmd.validate(args)


@pytest.mark.parametrize(
    "argv",
    [
        # A deploy YAML supplied *without* an explicit model must still trip
        # the guard. It carries per-stage engine args only -- the
        # checkpoint is always threaded in from ``args.model`` -- so its mere
        # presence does not establish that a model was provided. Without an
        # explicit model ``args.model`` stays at vLLM's default and the launch
        # reproduces the issue-4158 diffusion-registry crash.
        ["serve", "--omni", "--deploy-config", "deploy.yaml"],
        # An empty/whitespace model must not satisfy the guard either -- this is
        # the ``--model "$MODEL"``-with-unset-var footgun. Otherwise the empty
        # value flows downstream and crashes with the same confusing error.
        ["serve", "", "--omni"],  # empty positional
        ["serve", "--omni", "--model", ""],  # empty --model
        ["serve", "--omni", "--model", "   "],  # whitespace-only --model
    ],
)
def test_omni_serve_rejects_missing_or_empty_model(argv: list[str]) -> None:
    """Regression for review feedback on PR #4167: a deploy YAML is not a
    model source, so ``--deploy-config`` alone must not bypass the
    require-a-model guard; neither may an empty/whitespace model value."""
    args = _parse_serve_args(argv)
    cmd = OmniServeCommand()
    with pytest.raises(ValueError, match="requires an explicit model"):
        cmd.validate(args)


@pytest.mark.parametrize(
    "argv",
    [
        ["serve", "fake-model", "--omni"],  # positional model
        ["serve", "--omni", "--model", "fake-model"],  # --model flag
        # An explicit model with a deploy YAML is the legitimate multi-stage
        # path and must pass the guard.
        ["serve", "fake-model", "--omni", "--deploy-config", "deploy.yaml"],
    ],
)
def test_omni_serve_accepts_explicit_model(argv: list[str], mocker: MockerFixture) -> None:
    """A model supplied positionally or via ``--model`` -- with or without a
    deploy YAML -- must NOT trip the require-a-model guard. Downstream
    validation is mocked so only the new guard is exercised."""
    mocker.patch(
        "vllm_omni.diffusion.utils.hf_utils.is_diffusion_model",
        return_value=False,
    )
    mocker.patch("vllm_omni.entrypoints.cli.serve.validate_parsed_serve_args")

    args = _parse_serve_args(argv)
    cmd = OmniServeCommand()
    # Must not raise the "requires a model" error for any of these.
    cmd.validate(args)


@pytest.mark.parametrize(
    "model_class,exists,native",
    [
        ("AnimaPipeline", True, True),
        ("AnimaModularPipeline", True, True),
        ("AnimaPipeline", False, False),
        ("FluxPipeline", True, False),
        (None, True, False),
    ],
)
def test_serve_native_checkpoint_validation(model_class, exists, native, tmp_path, mocker):
    checkpoint = tmp_path / "anima.safetensors"
    if exists:
        checkpoint.touch()
    argv = ["serve", str(checkpoint), "--omni"]
    if model_class is not None:
        argv.extend(["--model-class-name", model_class])
    args = _parse_serve_args(argv)
    detect_model = mocker.patch("vllm_omni.diffusion.utils.hf_utils.is_diffusion_model", return_value=False)
    validate_llm = mocker.patch("vllm_omni.entrypoints.cli.serve.validate_parsed_serve_args")

    OmniServeCommand().validate(args)

    if native:
        detect_model.assert_not_called()
        validate_llm.assert_not_called()
    else:
        detect_model.assert_called_once_with(str(checkpoint))
        validate_llm.assert_called_once_with(args)


def test_serve_parser_accepts_strategy_config() -> None:
    """``--strategy-config`` must parse onto the ``strategy_config`` dest and be
    forwarded as an explicit kwarg so the engine can overlay the strategy."""
    parser = TrackingArgumentParser()
    subparsers = parser.add_subparsers(dest="subcommand")
    cmd = OmniServeCommand()
    cmd.subparser_init(subparsers)

    argv = ["serve", "fake-model", "--omni", "--strategy-config", "/tmp/strategy.yaml"]
    args = parser.parse_args(argv)
    assert args.strategy_config == "/tmp/strategy.yaml"
    assert args.get_explicit_kwargs_dict()["strategy_config"] == "/tmp/strategy.yaml"


def test_serve_parser_accepts_deploy_config() -> None:
    parser = TrackingArgumentParser()
    subparsers = parser.add_subparsers(dest="subcommand")
    OmniServeCommand().subparser_init(subparsers)

    args = parser.parse_args(["serve", "fake-model", "--omni", "--deploy-config", "/tmp/deploy.yaml"])

    assert args.deploy_config == "/tmp/deploy.yaml"
    assert args.get_explicit_kwargs_dict()["deploy_config"] == "/tmp/deploy.yaml"


def test_serve_parser_accepts_video_output_transport() -> None:
    parser = TrackingArgumentParser()
    subparsers = parser.add_subparsers(dest="subcommand")
    OmniServeCommand().subparser_init(subparsers)

    args = parser.parse_args(
        ["serve", "fake-model", "--omni", "--video-output-transport", '{"enable_device_postprocess": true}']
    )

    expected = {"enable_device_postprocess": True}
    assert args.video_output_transport == expected
    assert args.get_explicit_kwargs_dict()["video_output_transport"] == expected


@pytest.mark.parametrize("value", ["{not json", "[]"])
def test_serve_parser_rejects_invalid_video_output_transport(value: str) -> None:
    parser = TrackingArgumentParser()
    subparsers = parser.add_subparsers(dest="subcommand")
    OmniServeCommand().subparser_init(subparsers)

    with pytest.raises(SystemExit):
        parser.parse_args(["serve", "fake-model", "--omni", "--video-output-transport", value])


def test_tracking_namespace_is_picklable_for_spawned_api_workers() -> None:
    parser = TrackingArgumentParser()
    subparsers = parser.add_subparsers(dest="subcommand")
    OmniServeCommand().subparser_init(subparsers)
    args = parser.parse_args(["serve", "fake-model", "--omni", "--api-server-count", "2"])
    args._omni_stage_client_configs = [{"stage_addresses": {0: {0: {"input_address": "ipc://input"}}}}]

    restored = ForkingPickler.loads(ForkingPickler.dumps(args))

    assert restored.api_server_count == 2
    assert restored.get_explicit_kwargs_dict()["api_server_count"] == 2
    assert restored._omni_stage_client_configs == args._omni_stage_client_configs


@pytest.mark.parametrize("native_checkpoint", [False, True])
def test_serve_validate_rejects_multiple_api_servers_for_diffusion(
    mocker: MockerFixture, tmp_path, native_checkpoint: bool
) -> None:
    parser = TrackingArgumentParser()
    subparsers = parser.add_subparsers(dest="subcommand")
    cmd = OmniServeCommand()
    cmd.subparser_init(subparsers)
    argv = ["serve", "fake-diffusion-model", "--omni", "--api-server-count", "2"]
    if native_checkpoint:
        checkpoint = tmp_path / "anima.safetensors"
        checkpoint.touch()
        argv[1] = str(checkpoint)
        argv.extend(["--model-class-name", "AnimaPipeline"])
    args = parser.parse_args(argv)

    mocker.patch("vllm_omni.diffusion.utils.hf_utils.is_diffusion_model", return_value=not native_checkpoint)
    validate = mocker.patch("vllm_omni.entrypoints.cli.serve.validate_parsed_serve_args")

    with pytest.raises(ValueError, match="not supported for diffusion"):
        cmd.validate(args)

    validate.assert_not_called()


def test_serve_validate_rejects_sleep_mode_with_multiple_api_servers(mocker: MockerFixture) -> None:
    parser = TrackingArgumentParser()
    subparsers = parser.add_subparsers(dest="subcommand")
    cmd = OmniServeCommand()
    cmd.subparser_init(subparsers)
    args = parser.parse_args(["serve", "fake-model", "--omni", "--api-server-count", "2", "--enable-sleep-mode"])

    mocker.patch("vllm_omni.diffusion.utils.hf_utils.is_diffusion_model", return_value=False)
    mocker.patch("vllm_omni.entrypoints.cli.serve.validate_parsed_serve_args")

    with pytest.raises(ValueError, match="enable-sleep-mode"):
        cmd.validate(args)


@pytest.mark.parametrize("typed", [False, True])
@pytest.mark.parametrize("downstream_async_chunk", [False, True])
def test_build_multi_api_stage_runtime_matches_current_constructor(
    mocker: MockerFixture, typed: bool, downstream_async_chunk: bool
) -> None:
    from vllm_omni.entrypoints.cli import serve as serve_module

    args = TrackingNamespace(
        argparse.Namespace(
            model="dummy-model",
            model_tag=None,
            stage_init_timeout=1,
            tokenizer=None,
            disable_log_stats=False,
        ),
        frozenset({"model"}),
    )
    if typed:
        from vllm_omni.config.omni_config import VllmOmniARStageConfig
        from vllm_omni.config.stage_config import StagePipelineConfig

        stages = [
            VllmOmniARStageConfig(stage_pipeline_config=StagePipelineConfig(stage_id=i, model_stage="ar"))
            for i in range(2)
        ]
        stages[1].connector_config.async_chunk = downstream_async_chunk
    else:
        stages = [
            _FakeStageConfig(
                stage_id=i,
                engine_args=_FakeStageEngineArgs(
                    async_chunk=bool(i and downstream_async_chunk), enable_sleep_mode=False
                ),
            )
            for i in range(2)
        ]
    mocker.patch("vllm_omni.entrypoints.omni_base.omni_snapshot_download", return_value="dummy-model")
    mocker.patch(
        "vllm_omni.config.config_factory.with_trust_remote_code_override",
        side_effect=lambda kwargs, _trust: kwargs,
    )
    mocker.patch("vllm_omni.entrypoints.utils.parse_stage_overrides", return_value={})
    mocker.patch(
        "vllm_omni.config.resolver.resolve_omni_config",
        return_value=OmniConfigResolution(config_path="dummy-config", stage_configs=tuple(stages)),
    )

    runtime = serve_module._build_multi_api_stage_runtime(args, 2)

    assert runtime._client_count == 1
    assert runtime._client_index == 0
    assert runtime._async_chunk is downstream_async_chunk


@pytest.mark.parametrize("typed", [False, True])
def test_build_multi_api_stage_runtime_rejects_sleep_enabled_in_stage_config(
    mocker: MockerFixture, typed: bool
) -> None:
    from vllm_omni.entrypoints.cli import serve as serve_module

    args = TrackingNamespace(
        argparse.Namespace(
            model="dummy-model",
            model_tag=None,
            stage_init_timeout=1,
            tokenizer=None,
            disable_log_stats=False,
        ),
        frozenset({"model"}),
    )
    stage_config = _FakeStageConfig(
        stage_id=3,
        engine_args=_FakeStageEngineArgs(async_chunk=False, enable_sleep_mode=True),
    )
    if typed:
        from vllm_omni.config.omni_config import VllmOmniARStageConfig
        from vllm_omni.config.stage_config import StagePipelineConfig

        typed_stage = VllmOmniARStageConfig(stage_pipeline_config=StagePipelineConfig(stage_id=3, model_stage="ar"))
        typed_stage.model_config.enable_sleep_mode = True
        stage_config = typed_stage
    mocker.patch("vllm_omni.entrypoints.omni_base.omni_snapshot_download", return_value="dummy-model")
    mocker.patch(
        "vllm_omni.config.config_factory.with_trust_remote_code_override",
        side_effect=lambda kwargs, _trust: kwargs,
    )
    mocker.patch("vllm_omni.entrypoints.utils.parse_stage_overrides", return_value={})
    mocker.patch(
        "vllm_omni.config.resolver.resolve_omni_config",
        return_value=OmniConfigResolution(config_path="dummy-config", stage_configs=(stage_config,)),
    )

    with pytest.raises(ValueError, match=r"sleep mode.*stage\(s\) \[3\]"):
        serve_module._build_multi_api_stage_runtime(args, 2)


def test_run_multi_api_server_omni_starts_workers_after_shared_engine_launch(mocker: MockerFixture) -> None:
    from vllm_omni.entrypoints.cli import serve as serve_module

    args = TrackingNamespace(
        argparse.Namespace(api_server_count=2, shutdown_timeout=1),
        frozenset({"api_server_count", "shutdown_timeout"}),
    )
    socket = mocker.Mock()
    primary_addresses = EngineZmqAddresses(
        inputs=["ipc://input-0", "ipc://input-1"],
        outputs=["ipc://output-0", "ipc://output-1"],
    )
    engine_launch = StageEngineLaunch(
        client_configs=[{"client_count": 2, "client_index": index, "stage_addresses": {}} for index in range(2)],
        resources=[StageReplicaResources(addresses=primary_addresses)],
    )
    runtime = mocker.MagicMock()
    runtime.launch_stage_engines.return_value.__enter__.return_value = engine_launch
    runtime.launch_stage_engines.return_value.__exit__.return_value = False

    manager = mocker.Mock()
    manager.processes = [mocker.Mock()]
    manager.gather_actual_addresses.return_value = (primary_addresses.inputs, primary_addresses.outputs)

    mocker.patch.object(serve_module, "_build_multi_api_stage_runtime", return_value=runtime)
    mocker.patch.object(serve_module, "_wait_for_multi_api_server_completion")
    mocker.patch("signal.signal")
    mocker.patch("vllm.entrypoints.openai.api_server.setup_server", return_value=("127.0.0.1:8000", socket))
    mocker.patch("vllm.v1.metrics.prometheus.setup_multiprocess_prometheus")
    start_manager = mocker.patch.object(serve_module, "_start_api_server_process_manager", return_value=manager)

    serve_module.run_multi_api_server_omni(args)

    assert args._omni_stage_client_configs is engine_launch.client_configs
    start_manager.assert_called_once()
    manager_kwargs = start_manager.call_args.kwargs
    assert manager_kwargs["cleanup_timeout"] == 1
    assert manager_kwargs["num_servers"] == 2
    assert manager_kwargs["input_addresses"] == ["ipc://input-0", "ipc://input-1"]
    assert manager_kwargs["target_server_fn"] is serve_module.run_omni_api_server_worker_proc
    assert engine_launch.watched_frontend_processes == manager.processes
    runtime.shutdown.assert_called_once_with()
    socket.close.assert_called_once_with()


def test_start_api_server_process_manager_cleans_up_partial_start(mocker: MockerFixture) -> None:
    from vllm_omni.entrypoints.cli import serve as serve_module

    first_process = mocker.Mock(name="first_process")
    second_process = mocker.Mock(name="second_process")
    first_process.pid = 1234
    second_process.pid = None
    second_process.start.side_effect = RuntimeError("spawn failed")
    parent_pipes = [mocker.Mock(name="parent_pipe_0"), mocker.Mock(name="parent_pipe_1")]
    child_pipes = [mocker.Mock(name="child_pipe_0"), mocker.Mock(name="child_pipe_1")]
    spawn_context = mocker.Mock()
    spawn_context.Process.side_effect = [first_process, second_process]
    spawn_context.Pipe.side_effect = list(zip(parent_pipes, child_pipes))
    mocker.patch("vllm.v1.utils.multiprocessing.get_context", return_value=spawn_context)
    shutdown = mocker.patch("vllm.v1.utils.shutdown")

    with pytest.raises(RuntimeError, match="spawn failed"):
        serve_module._start_api_server_process_manager(
            cleanup_timeout=1.5,
            listen_address="127.0.0.1:8000",
            sock=mocker.Mock(),
            args=argparse.Namespace(),
            num_servers=2,
            input_addresses=["ipc://input-0", "ipc://input-1"],
            output_addresses=["ipc://output-0", "ipc://output-1"],
            target_server_fn=mocker.Mock(),
        )

    first_process.start.assert_called_once_with()
    second_process.start.assert_called_once_with()
    for pipe in parent_pipes:
        pipe.close.assert_called_once_with()
    shutdown.assert_called_once_with([first_process], timeout=1.5)


def test_wait_for_multi_api_server_completion_rejects_engine_failure(
    mocker: MockerFixture,
) -> None:
    from vllm_omni.entrypoints.cli import serve as serve_module

    api_process = _FakeProcess(sentinel="api-0", exitcode=None, name="api-0", pid=10)
    engine_process = _FakeProcess(sentinel="engine-0", exitcode=4, name="engine-0", pid=20)
    manager = _FakeProcessOwner(processes=[api_process])
    engine_launch = StageEngineLaunch(
        client_configs=[],
        resources=[StageReplicaResources(manager=_FakeProcessOwner(processes=[engine_process]))],
    )
    mocker.patch("multiprocessing.connection.wait", return_value=["engine-0"])

    with pytest.raises(RuntimeError, match=r"Shared stage engine process engine-0 .* exited with code 4"):
        serve_module._wait_for_multi_api_server_completion(manager, engine_launch)


def test_serve_parser_rejects_stage_configs_path() -> None:
    parser = TrackingArgumentParser()
    subparsers = parser.add_subparsers(dest="subcommand")
    OmniServeCommand().subparser_init(subparsers)

    with pytest.raises(SystemExit):
        parser.parse_args(["serve", "fake-model", "--omni", "--stage-configs-path", "/tmp/stages.yaml"])


def test_serve_parser_accepts_four_way_cfg_parallelism() -> None:
    parser = TrackingArgumentParser()
    subparsers = parser.add_subparsers(dest="subcommand")
    OmniServeCommand().subparser_init(subparsers)

    args = parser.parse_args(["serve", "fake-model", "--omni", "--cfg-parallel-size", "4"])

    assert args.cfg_parallel_size == 4


def test_serve_parser_accepts_robot_openpi_idle_timeout() -> None:
    parser = TrackingArgumentParser()
    subparsers = parser.add_subparsers(dest="subcommand")
    OmniServeCommand().subparser_init(subparsers)

    args = parser.parse_args(["serve", "fake-model", "--omni", "--robot-openpi-idle-timeout", "0"])

    assert args.robot_openpi_idle_timeout == 0
    assert args.get_explicit_kwargs_dict()["robot_openpi_idle_timeout"] == 0


def test_serve_parser_rejects_negative_robot_openpi_idle_timeout() -> None:
    parser = TrackingArgumentParser()
    subparsers = parser.add_subparsers(dest="subcommand")
    OmniServeCommand().subparser_init(subparsers)

    with pytest.raises(SystemExit):
        parser.parse_args(["serve", "fake-model", "--omni", "--robot-openpi-idle-timeout", "-1"])


def test_serve_parser_accepts_ulysses_a2a_permute() -> None:
    parser = TrackingArgumentParser()
    subparsers = parser.add_subparsers(dest="subcommand")
    OmniServeCommand().subparser_init(subparsers)

    args = parser.parse_args(["serve", "fake-model", "--omni", "--ulysses-a2a-permute"])

    assert args.ulysses_a2a_permute is True
    assert args.get_explicit_kwargs_dict()["ulysses_a2a_permute"] is True


def test_serve_parser_accepts_diffusion_quantization_config() -> None:
    parser = TrackingArgumentParser()
    subparsers = parser.add_subparsers(dest="subcommand")
    OmniServeCommand().subparser_init(subparsers)
    expected = {"transformer": {"method": "torchao_float8_weight_only"}}

    args = parser.parse_args(
        [
            "serve",
            "Boogu/Boogu-Image-0.1-Base-fp8",
            "--omni",
            "--diffusion-quantization-config",
            '{"transformer":{"method":"torchao_float8_weight_only"}}',
        ]
    )

    assert args.diffusion_quantization_config == expected
    assert args.get_explicit_kwargs_dict()["diffusion_quantization_config"] == expected


def _make_headless_args(*, explicit_keys: frozenset[str] | None = None, **kwargs) -> TrackingNamespace:
    defaults = {
        "model": "fake-model",
        "stage_id": 0,
        "replica_id": 0,
        "omni_master_address": "127.0.0.1",
        "omni_master_port": 26000,
        "omni_replica_address": None,
        "omni_dp_size_local": 1,
        "worker_backend": "multi_process",
        "deploy_config": None,
        "log_stats": False,
        "disable_log_stats": False,
        "stage_init_timeout": 600,
        "tokenizer": None,
    }
    ns_kwargs = {**defaults, **kwargs}
    ns = argparse.Namespace(**ns_kwargs)
    return TrackingNamespace(
        unfiltered_ns=ns,
        explicit_keys=frozenset(ns.__dict__.keys()) if explicit_keys is None else explicit_keys,
    )


def test_run_headless_requires_stage_id() -> None:
    args = _make_headless_args(stage_id=None)
    with pytest.raises(ValueError, match="--stage-id is required"):
        run_headless(args)


def test_run_headless_requires_master_address() -> None:
    args = _make_headless_args(omni_master_address=None)
    with pytest.raises(ValueError, match="--omni-master-address and --omni-master-port"):
        run_headless(args)


def test_run_headless_requires_master_port() -> None:
    args = _make_headless_args(omni_master_port=None)
    with pytest.raises(ValueError, match="--omni-master-address and --omni-master-port"):
        run_headless(args)


def test_run_headless_rejects_non_multiprocess_worker_backend() -> None:
    args = _make_headless_args(worker_backend="ray")
    with pytest.raises(ValueError, match="worker_backend=multi_process"):
        run_headless(args)


# ---------------------------------------------------------------------------
# --stage-overrides parsing at the serving boundary
# ---------------------------------------------------------------------------


def test_parse_stage_overrides_valid_json() -> None:
    """A valid JSON string is parsed into the nested per-stage dict."""
    parsed = _parse_stage_overrides('{"0": {"devices": "0,1"}, "1": {"devices": "2"}}')
    assert parsed == {"0": {"devices": "0,1"}, "1": {"devices": "2"}}


def test_serve_parser_parses_stage_overrides_before_resolution() -> None:
    parser = TrackingArgumentParser()
    subparsers = parser.add_subparsers(dest="subcommand")
    OmniServeCommand().subparser_init(subparsers)

    args = parser.parse_args(
        [
            "serve",
            "fake-model",
            "--omni",
            "--stage-overrides",
            '{"0": {"devices": "0,1"}}',
        ]
    )

    assert args.stage_overrides == {"0": {"devices": "0,1"}}


def test_serve_parser_accepts_empty_stage_overrides_as_noop() -> None:
    parser = TrackingArgumentParser()
    subparsers = parser.add_subparsers(dest="subcommand")
    OmniServeCommand().subparser_init(subparsers)

    args = parser.parse_args(["serve", "fake-model", "--omni", "--stage-overrides", "{}"])

    assert args.stage_overrides == {}


def test_parse_stage_overrides_invalid_json_raises() -> None:
    """Invalid JSON fails at the serving boundary with the raw input."""
    bad = "{not valid json}"
    with pytest.raises(argparse.ArgumentTypeError) as excinfo:
        _parse_stage_overrides(bad)
    message = str(excinfo.value)
    assert message.startswith("--stage-overrides is not valid JSON:")
    assert f"Got: {bad!r}" in message


@pytest.mark.parametrize(
    "payload",
    ['{"abc": {}}', '{"-1": {}}', '{"1.5": {}}', '{"\uff10": {}}'],
)
def test_parse_stage_overrides_rejects_invalid_stage_ids(payload: str) -> None:
    with pytest.raises(argparse.ArgumentTypeError, match="non-negative integer stage ids"):
        _parse_stage_overrides(payload)


def test_parse_stage_overrides_preserves_arbitrary_override_fields() -> None:
    parsed = _parse_stage_overrides(
        '{"0": {"extras": {"ltx2_use_conv_vae": true}, "kv_cache_dtype": "fp8", "typo_field_xyz": 1}}'
    )
    assert parsed["0"] == {
        "extras": {"ltx2_use_conv_vae": True},
        "kv_cache_dtype": "fp8",
        "typo_field_xyz": 1,
    }


def test_parse_stage_overrides_rejects_non_dict_top_level() -> None:
    """Top-level must be a JSON object (dict). A list, scalar, or non-dict
    mapping is rejected with a ValueError naming ``--stage-overrides`` and
    pointing at the bad shape. Without this guard, ``json.loads`` happily
    returns a list/scalar and the override silently never applies."""
    for bad in ("[1, 2, 3]", '"oops"', "42"):
        with pytest.raises(ValueError, match="must be a JSON object"):
            parse_stage_overrides(bad)


def test_parse_stage_overrides_rejects_non_integer_stage_id() -> None:
    """Stage-id keys must be non-negative ASCII integer strings. Letters,
    signs, floats, Unicode digit classes, and integer (non-string) keys all
    fail. ``str.isdigit() and str.isascii()`` is the minimal check: it
    rejects ``"-1"``, ``"abc"``, ``"1.5"``, fullwidth ``"０"``, and bare ``1``.

    Note: ``json.loads`` normalizes integer object keys (``{"1": {}}``) into
    the string ``"1"`` and would pass our digit check, so the integer-key case
    is exercised via the already-parsed-dict code path (``parse_stage_overrides({1: {}})``)."""
    bad_string_keys = ('"abc"', '"-1"', '"1.5"', '"\uff10"')
    for bad_key in bad_string_keys:
        with pytest.raises(ValueError, match="non-negative integer stage ids"):
            parse_stage_overrides("{" + bad_key + ": {}}")
    # Integer (non-string) key: must reach the structural check, not the JSON
    # parser, so pass an already-parsed mapping directly.
    with pytest.raises(ValueError, match="non-negative integer stage ids"):
        parse_stage_overrides({1: {}})


def test_parse_stage_overrides_accepts_stage_merge_extras_and_engine_args() -> None:
    """Three classes of keys pass through the shape-only parser:

    - ``extras`` is read by the default-diffusion fallback
      (``async_omni_engine.py``); registered pipelines carry it on
      ``StagePipelineConfig.extras`` directly.
    - Engine arguments (``kv_cache_dtype``, ``stage_connector_spec``, ...)
      are forwarded as ``stage_<id>_<key>`` and applied via
      ``OmniEngineArgs``.
    - Unknown keys parse through and are dropped with a warning at
      ``filter_dataclass_kwargs`` (see
      ``tests/entrypoints/test_utils.py::TestFilterDataclassKwargs``).

    ``typo_field_xyz`` in the payload exercises the third case.
    """
    parsed = parse_stage_overrides(
        '{"0": {"extras": {"ltx2_use_conv_vae": true},'
        ' "kv_cache_dtype": "fp8", "seed": 42,'
        ' "stage_connector_spec": {"name": "SharedMemoryConnector", "extra": {}},'
        ' "typo_field_xyz": 1}}'
    )
    assert parsed == {
        "0": {
            "extras": {"ltx2_use_conv_vae": True},
            "kv_cache_dtype": "fp8",
            "seed": 42,
            "stage_connector_spec": {"name": "SharedMemoryConnector", "extra": {}},
            "typo_field_xyz": 1,
        },
    }
    # Already-parsed mapping path carries the same trust.
    assert parse_stage_overrides(dict(parsed)) == parsed


def test_parse_stage_overrides_accepts_empty_inner_dict() -> None:
    """Per-stage overrides may be empty (``{}``): shape stays valid, every
    stage simply receives no per-stage tweaks. Locks in the
    ``not parsed`` -> ``None`` short-circuit's twin: an outer
    non-empty dict with empty inner dicts is a valid no-op pass-through."""
    parsed = parse_stage_overrides('{"0": {}, "1": {}}')
    assert parsed == {"0": {}, "1": {}}


def test_run_headless_forwards_parsed_stage_overrides(mocker: MockerFixture) -> None:
    """The headless resolver receives the mapping parsed by argparse."""
    captured: dict = {}

    def _fake_resolve(*args, **kwargs):
        captured["args"] = args
        captured.update(kwargs)
        # Return a stage that does NOT match stage_id=0 so run_headless stops
        # right after the resolver call (we only care about how it was called).
        return _resolved(SimpleNamespace(stage_id=99))

    mocker.patch(
        "vllm_omni.config.resolver.resolve_omni_config",
        side_effect=_fake_resolve,
    )

    args = _make_headless_args(
        stage_id=0,
        deploy_config="/tmp/deploy.yaml",
        strategy_config="/tmp/strategy.yaml",
        stage_overrides={"0": {"devices": "0,1"}, "1": {"devices": "2"}},
    )
    with pytest.raises(ValueError, match="No stage config found for stage_id=0"):
        run_headless(args)

    assert captured["args"] == ("fake-model",)
    assert captured["deploy_config_path"] == "/tmp/deploy.yaml"
    assert captured["stage_overrides"] == {"0": {"devices": "0,1"}, "1": {"devices": "2"}}
    assert captured["strategy_config_path"] == "/tmp/strategy.yaml"


def test_parse_stage_overrides_rejects_non_mapping_values() -> None:
    with pytest.raises(argparse.ArgumentTypeError, match="JSON object"):
        _parse_stage_overrides('["not", "a", "mapping"]')
    with pytest.raises(argparse.ArgumentTypeError, match="must be an object"):
        _parse_stage_overrides('{"0": "not a mapping"}')


def test_run_headless_raises_when_stage_id_not_in_configs(mocker: MockerFixture) -> None:
    """Headless looks up its assigned stage_id in the loaded deploy YAML and
    fails fast when the launcher's --stage-id doesn't match any entry."""
    other_stage = SimpleNamespace(stage_id=99)
    mocker.patch(
        "vllm_omni.config.resolver.resolve_omni_config",
        return_value=_resolved(other_stage),
    )

    args = _make_headless_args(stage_id=0)
    with pytest.raises(ValueError, match="No stage config found for stage_id=0"):
        run_headless(args)


# ---------------------------------------------------------------------------
# run_headless happy paths
# ---------------------------------------------------------------------------


def _make_stage_cfg(stage_id: int, stage_type: str) -> SimpleNamespace:
    """Build a stage config that satisfies every attribute run_headless reads.

    Notably ``engine_args`` is a real dict (not a Mock) so
    ``get_stage_devices_per_replica`` can call ``.get("tensor_parallel_size")``
    and feed the result through ``int()`` without TypeError.
    """
    return SimpleNamespace(
        stage_id=stage_id,
        stage_type=stage_type,
        # No "devices" key -> split_devices_for_replicas skipped, each replica
        # inherits the launcher's CUDA_VISIBLE_DEVICES.
        runtime=None,
        engine_args={},
    )


def test_run_headless_llm_registers_with_auto_assigned_replica_id(mocker: MockerFixture) -> None:
    """LLM headless: each loop iteration registers with auto-assigned
    replica_id (master picks a free slot) and spawns one
    ``StageEngineCoreProcManager`` per local replica."""
    from vllm_omni.engine.stage_engine_startup import StageRegistrationResponse

    stage_cfg = _make_stage_cfg(0, stage_type="llm")
    stage_cfg.engine_args["async_chunk"] = True
    parallel_config = SimpleNamespace(
        data_parallel_size_local=1,
        data_parallel_rank=0,
        data_parallel_rank_local=0,
        node_rank_within_dp=0,
    )
    vllm_config = SimpleNamespace(parallel_config=parallel_config, needs_dp_coordinator=False)
    engine_manager = mocker.Mock()

    mocker.patch(
        "vllm_omni.config.resolver.resolve_omni_config",
        return_value=_resolved(stage_cfg),
    )
    mocker.patch("vllm_omni.engine.stage_init_utils.prepare_engine_environment")
    mocker.patch("vllm_omni.engine.stage_init_utils.load_omni_transfer_config_for_model", return_value=None)
    mocker.patch(
        "vllm_omni.distributed.omni_connectors.utils.initialization.resolve_omni_kv_config_for_stage",
        return_value=(None, None, None),
    )
    mock_connector_spec = mocker.patch(
        "vllm_omni.engine.stage_init_utils.get_stage_connector_spec",
        return_value={},
    )
    mocker.patch("vllm_omni.engine.stage_init_utils.build_engine_args_dict", return_value={})
    mocker.patch(
        "vllm_omni.engine.stage_init_utils.build_vllm_config",
        return_value=(vllm_config, object),
    )
    mock_register = mocker.patch(
        "vllm_omni.engine.stage_engine_startup.register_stage_with_omni_master",
        return_value=StageRegistrationResponse(
            handshake_address="tcp://127.0.0.1:26001",
            input_address="tcp://127.0.0.1:26002",
            output_address="tcp://127.0.0.1:26003",
            replica_id=0,
            coordinator_router_address="tcp://127.0.0.1:26100",
        ),
    )
    mock_manager_cls = mocker.patch(
        "vllm_omni.engine.stage_engine_core_proc_manager.StageEngineCoreProcManager",
        return_value=engine_manager,
    )
    mocker.patch("signal.signal")

    run_headless(_make_headless_args(stage_id=0))

    # The launcher must request auto-assignment (replica_id=None) and the
    # full response so it can wire the master-allocated coordinator into the
    # spawned subprocess. LLM uses head-owned sockets: the head binds all
    # three sockets (handshake, input, output) and the worker connects.
    assert mock_register.call_count == 1
    kwargs = mock_register.call_args.kwargs
    assert kwargs["omni_master_address"] == "127.0.0.1"
    assert kwargs["omni_master_port"] == 26000
    assert kwargs["omni_stage_id"] == 0
    assert kwargs["omni_stage_config"] is stage_cfg
    assert kwargs["replica_id"] is None
    assert "socket_ownership" not in kwargs
    assert mock_connector_spec.call_args.kwargs["async_chunk"] is True

    assert mock_manager_cls.call_count == 1
    mgr_kwargs = mock_manager_cls.call_args.kwargs
    assert mgr_kwargs["local_engine_count"] == 1
    assert mgr_kwargs["local_client"] is False
    assert mgr_kwargs["handshake_address"] == "tcp://127.0.0.1:26001"
    assert mgr_kwargs["omni_stage_id"] == 0
    assert mgr_kwargs["omni_coordinator_address"] == "tcp://127.0.0.1:26100"
    assert mgr_kwargs["omni_replica_base_id"] == 0

    engine_manager.monitor_engine_liveness.assert_called_once_with()
    engine_manager.shutdown.assert_called_once_with()


def test_run_headless_llm_launches_one_manager_per_omni_dp_size_local(mocker: MockerFixture) -> None:
    """``--omni-dp-size-local=N`` must spawn N managers, each with its own
    master-assigned replica_id, and join all of them before returning."""
    from vllm_omni.engine.stage_engine_startup import StageRegistrationResponse

    stage_cfg = _make_stage_cfg(0, stage_type="llm")
    parallel_config = SimpleNamespace(
        data_parallel_size_local=1,
        data_parallel_rank=0,
        data_parallel_rank_local=0,
        node_rank_within_dp=0,
    )
    vllm_config = SimpleNamespace(parallel_config=parallel_config, needs_dp_coordinator=False)
    manager_a = mocker.Mock()
    manager_b = mocker.Mock()

    mocker.patch(
        "vllm_omni.config.resolver.resolve_omni_config",
        return_value=_resolved(stage_cfg),
    )
    mocker.patch("vllm_omni.engine.stage_init_utils.prepare_engine_environment")
    mocker.patch("vllm_omni.engine.stage_init_utils.load_omni_transfer_config_for_model", return_value=None)
    mocker.patch(
        "vllm_omni.distributed.omni_connectors.utils.initialization.resolve_omni_kv_config_for_stage",
        return_value=(None, None, None),
    )
    mocker.patch("vllm_omni.engine.stage_init_utils.get_stage_connector_spec", return_value={})
    mocker.patch("vllm_omni.engine.stage_init_utils.build_engine_args_dict", return_value={})
    mocker.patch(
        "vllm_omni.engine.stage_init_utils.build_vllm_config",
        return_value=(vllm_config, object),
    )
    mocker.patch(
        "vllm_omni.engine.stage_engine_startup.register_stage_with_omni_master",
        side_effect=[
            StageRegistrationResponse(
                handshake_address=f"tcp://127.0.0.1:2700{idx}",
                input_address=f"tcp://127.0.0.1:2710{idx}",
                output_address=f"tcp://127.0.0.1:2720{idx}",
                replica_id=idx,
                coordinator_router_address=None,
            )
            for idx in (0, 1)
        ],
    )
    mock_manager_cls = mocker.patch(
        "vllm_omni.engine.stage_engine_core_proc_manager.StageEngineCoreProcManager",
        side_effect=[manager_a, manager_b],
    )
    mocker.patch("signal.signal")

    run_headless(_make_headless_args(stage_id=0, omni_dp_size_local=2))

    assert mock_manager_cls.call_count == 2
    assigned_ids = [call.kwargs["omni_replica_base_id"] for call in mock_manager_cls.call_args_list]
    assert assigned_ids == [0, 1]

    # Multi-replica path joins the monitor threads instead of calling
    # ``monitor_engine_liveness`` synchronously on the main thread, but every
    # manager must still be shut down in the finally block.
    manager_a.shutdown.assert_called_once_with()
    manager_b.shutdown.assert_called_once_with()


def test_run_headless_diffusion_registers_and_spawns_proc(mocker: MockerFixture) -> None:
    """Diffusion headless: registers as auto-assign, spawns a single
    ``StageDiffusionProc`` per local replica, and waits for it via
    ``multiprocessing.connection.wait``."""
    from vllm_omni.engine.stage_engine_startup import StageRegistrationResponse

    stage_cfg = _make_stage_cfg(1, stage_type="diffusion")
    od_config = mocker.Mock()
    proc = mocker.Mock(sentinel=object(), exitcode=0)
    proc.is_alive.return_value = False

    mocker.patch(
        "vllm_omni.config.resolver.resolve_omni_config",
        return_value=_resolved(stage_cfg),
    )
    mocker.patch("vllm_omni.engine.stage_init_utils.prepare_engine_environment")
    mocker.patch("vllm_omni.engine.stage_init_utils.load_omni_transfer_config_for_model", return_value=None)
    mocker.patch(
        "vllm_omni.distributed.omni_connectors.utils.initialization.resolve_omni_kv_config_for_stage",
        return_value=(None, None, None),
    )
    mocker.patch(
        "vllm_omni.engine.stage_init_utils.extract_legacy_stage_metadata",
        return_value=SimpleNamespace(stage_id=1, stage_type="diffusion"),
    )
    mock_inject = mocker.patch("vllm_omni.engine.stage_init_utils.inject_kv_stage_info")
    mocker.patch("vllm_omni.engine.stage_init_utils.build_diffusion_config", return_value=od_config)
    mock_register = mocker.patch(
        "vllm_omni.engine.stage_engine_startup.register_stage_with_omni_master",
        return_value=StageRegistrationResponse(
            handshake_address="tcp://127.0.0.1:26001",
            input_address="tcp://127.0.0.1:26002",
            output_address="tcp://127.0.0.1:26003",
            replica_id=0,
            coordinator_router_address="tcp://127.0.0.1:26100",
        ),
    )
    fake_manager = SimpleNamespace(
        proc=proc,
        addresses=SimpleNamespace(
            inputs=["tcp://127.0.0.1:26002"],
            outputs=["tcp://127.0.0.1:26003"],
        ),
        shutdown=mocker.Mock(),
    )
    mock_manager = mocker.patch(
        "vllm_omni.diffusion.stage_diffusion_proc.StageDiffusionProcManager.launch_headless",
        return_value=fake_manager,
    )
    # Replace the blocking wait with one that returns the only proc's sentinel
    # immediately so the test does not hang.
    mocker.patch(
        "multiprocessing.connection.wait",
        side_effect=lambda sentinels: [sentinels[0]],
    )
    mocker.patch("signal.signal")

    run_headless(_make_headless_args(stage_id=1))

    mock_inject.assert_called_once()
    assert mock_inject.call_args.args[0] is stage_cfg
    assert mock_inject.call_args.args[1] == 1
    assert mock_inject.call_args.args[2] == [stage_cfg]

    reg_kwargs = mock_register.call_args.kwargs
    assert reg_kwargs["omni_master_address"] == "127.0.0.1"
    assert reg_kwargs["omni_master_port"] == 26000
    assert reg_kwargs["omni_stage_id"] == 1
    assert reg_kwargs["omni_stage_config"] is stage_cfg
    assert reg_kwargs["replica_id"] is None
    assert "socket_ownership" not in reg_kwargs

    manager_kwargs = mock_manager.call_args.kwargs
    assert manager_kwargs["handshake_address"] == "tcp://127.0.0.1:26001"
    assert manager_kwargs["addresses"].inputs == ["tcp://127.0.0.1:26002"]
    assert manager_kwargs["addresses"].outputs == ["tcp://127.0.0.1:26003"]
    assert manager_kwargs["omni_coordinator_address"] == "tcp://127.0.0.1:26100"
    assert manager_kwargs["omni_stage_id"] == 1
    assert manager_kwargs["omni_replica_id"] == 0


def test_run_headless_generic_diffusion_launches_structured_stage(mocker: MockerFixture) -> None:
    """Headless resolution starts the typed stage through the real group launcher."""
    from vllm_omni.engine import stage_engine_startup as startup_module

    mocker.patch("vllm_omni.config.resolver.StageConfigFactory.create_from_model", return_value=None)
    mocker.patch(
        "vllm_omni.config.resolver._resolve_generic_diffusion_model_class",
        return_value=(True, "FakeDiffusionPipeline"),
    )
    mocker.patch("vllm_omni.engine.stage_init_utils.prepare_engine_environment")
    mocker.patch.object(startup_module.stage_init_utils, "load_omni_transfer_config_for_model", return_value=None)
    mocker.patch.object(
        startup_module.initialization,
        "resolve_omni_kv_config_for_stage",
        return_value=(None, None, None),
    )
    captured: dict[str, Any] = {}
    od_config = SimpleNamespace()

    def _build_diffusion_config(model, stage_config, metadata):
        captured.update(model=model, stage_config=stage_config, metadata=metadata)
        return od_config

    def _launch_replica_group(**kwargs):
        captured.update(group_kwargs=kwargs)
        captured["manager"] = kwargs["launch_one"](0)

    def _launch_replica(**kwargs):
        captured.update(replica_kwargs=kwargs)
        return SimpleNamespace(exitcode=None)

    mocker.patch.object(startup_module.stage_init_utils, "build_diffusion_config", side_effect=_build_diffusion_config)
    mocker.patch.object(startup_module, "launch_headless_replica_group", side_effect=_launch_replica_group)
    mocker.patch.object(startup_module, "launch_headless_diffusion_replica", side_effect=_launch_replica)

    explicit_keys = frozenset(
        {
            "model",
            "stage_id",
            "omni_master_address",
            "omni_master_port",
            "worker_backend",
            "model_class_name",
            "num_gpus",
        }
    )
    args = _make_headless_args(
        explicit_keys=explicit_keys,
        model="generic-diffusion",
        model_class_name="FakeDiffusionPipeline",
        num_gpus=1,
    )

    run_headless(args)

    stage = captured["stage_config"]
    assert isinstance(stage, VllmOmniDiffusionStageConfig)
    assert captured["metadata"].stage_type == "diffusion"
    assert captured["metadata"].model_stage == "diffusion"
    assert captured["model"] == "generic-diffusion"
    assert captured["group_kwargs"]["stage_id"] == 0
    assert captured["group_kwargs"]["omni_dp_size_local"] == 1
    assert captured["group_kwargs"]["per_replica_devices"] == ["0"]
    assert captured["replica_kwargs"]["stage_config"] is stage
    assert captured["replica_kwargs"]["stage_id"] == 0
    assert captured["replica_kwargs"]["omni_master_address"] == "127.0.0.1"
    assert captured["replica_kwargs"]["omni_master_port"] == 26000
    assert captured["replica_kwargs"]["od_config"] is od_config
    assert stage.runtime_config.devices == "0"


def test_run_headless_diffusion_raises_on_nonzero_proc_exit(mocker: MockerFixture) -> None:
    """A diffusion replica that exits with a non-zero code must surface as a
    RuntimeError from ``run_headless`` (the head needs the signal to roll
    back its own stage init)."""
    from vllm_omni.engine.stage_engine_startup import StageRegistrationResponse

    stage_cfg = _make_stage_cfg(1, stage_type="diffusion")
    proc = mocker.Mock(sentinel=object(), exitcode=137, name="proc-stage1-rep0")
    proc.is_alive.return_value = False

    mocker.patch(
        "vllm_omni.config.resolver.resolve_omni_config",
        return_value=_resolved(stage_cfg),
    )
    mocker.patch("vllm_omni.engine.stage_init_utils.prepare_engine_environment")
    mocker.patch("vllm_omni.engine.stage_init_utils.load_omni_transfer_config_for_model", return_value=None)
    mocker.patch(
        "vllm_omni.distributed.omni_connectors.utils.initialization.resolve_omni_kv_config_for_stage",
        return_value=(None, None, None),
    )
    mocker.patch(
        "vllm_omni.engine.stage_init_utils.extract_legacy_stage_metadata",
        return_value=SimpleNamespace(stage_id=1, stage_type="diffusion"),
    )
    mocker.patch("vllm_omni.engine.stage_init_utils.inject_kv_stage_info")
    mocker.patch("vllm_omni.engine.stage_init_utils.build_diffusion_config", return_value=mocker.Mock())
    mocker.patch(
        "vllm_omni.engine.stage_engine_startup.register_stage_with_omni_master",
        return_value=StageRegistrationResponse(
            handshake_address="tcp://127.0.0.1:26001",
            input_address="tcp://127.0.0.1:26002",
            output_address="tcp://127.0.0.1:26003",
            replica_id=0,
            coordinator_router_address=None,
        ),
    )
    mocker.patch(
        "vllm_omni.diffusion.stage_diffusion_proc.StageDiffusionProcManager.launch_headless",
        return_value=SimpleNamespace(proc=proc, shutdown=mocker.Mock()),
    )
    mocker.patch(
        "multiprocessing.connection.wait",
        side_effect=lambda sentinels: [sentinels[0]],
    )
    mocker.patch("signal.signal")

    with pytest.raises(RuntimeError, match=r"exited with code 137"):
        run_headless(_make_headless_args(stage_id=1))


@pytest.mark.parametrize("name", ["unfiltered_ns", "explicit_keys", "missing", "__dict__"])
def test_tracking_namespace_uninitialized_access_raises_attribute_error(name):
    namespace = object.__new__(TrackingNamespace)
    with pytest.raises(AttributeError):
        getattr(namespace, name)


@pytest.mark.parametrize("deep", [False, True])
def test_tracking_namespace_copy_preserves_tracking(deep):
    import copy

    namespace = TrackingNamespace(
        argparse.Namespace(model="example", api_server_count=2), frozenset({"api_server_count"})
    )
    restored = copy.deepcopy(namespace) if deep else copy.copy(namespace)
    assert restored.get_explicit_kwargs_dict() == {"api_server_count": 2}
    assert restored.model == "example"