[Refactor][CI] Reorganize test tree, and move slow e2e to weekly (#4951)

Signed-off-by: wangyu <410167048@qq.com>

tests/engine/test_omni_request.py

@@ -0,0 +1,112 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+"""Regression tests for OmniRequest substitutability with the base Request.
+
+vllm-omni rebinds ``vllm.v1.request.Request`` to ``OmniRequest`` at import
+time (see ``vllm_omni/patch.py``). vLLM core constructs ``Request`` positionally
+in some paths (notably ``vllm/v1/worker/gpu/warmup.py::warmup_kernels`` for V2
+model-runner architectures like Qwen3ForCausalLM). The omni-specific params
+must therefore be keyword-only so positional construction stays Liskov-
+substitutable with the base class — including base-style calls that pass
+``prompt_embeds`` (itself a positional-capable base param) positionally.
+"""
+
+import inspect
+
+import numpy as np
+import pytest
+import torch
+from vllm.sampling_params import SamplingParams
+from vllm.v1.request import Request
+
+from vllm_omni.engine import PromptEmbedsPayload
+from vllm_omni.request import OmniRequest, OmniStreamingUpdate
+
+pytestmark = [pytest.mark.core_model, pytest.mark.cpu]
+
+
+def test_omni_params_are_keyword_only():
+    """The three omni params must be keyword-only after ``*args``.
+
+    Guards against re-introducing the import-time rebind bug where omni params
+    came first positionally and broke positional ``Request(...)`` construction.
+    """
+    params = inspect.signature(OmniRequest.__init__).parameters
+    for name in (
+        "prompt_embeds",
+        "external_req_id",
+        "additional_information",
+        "model_intermediate_buffer",
+    ):
+        assert params[name].kind is inspect.Parameter.KEYWORD_ONLY, name
+
+
+def test_positional_construction_matches_base_request():
+    """Reproduces the warmup_kernels call: Request(id, tokens, sp, pp)."""
+    req = OmniRequest("req-0", [1, 2, 3], SamplingParams(), None)
+
+    assert isinstance(req, Request)
+    assert req.request_id == "req-0"
+    assert req.prompt_token_ids == [1, 2, 3]
+    # Omni params default cleanly when constructed positionally.
+    assert req.external_req_id is None
+    assert req.additional_information is None
+    assert req.prompt_embeds_payload is None
+
+
+def test_positional_prompt_embeds_does_not_collide():
+    """Base-style positional call that includes ``prompt_embeds``.
+
+    ``prompt_embeds`` is a positional-capable base param (after
+    ``arrival_time``). A base-style call must not trip
+    ``got multiple values for argument 'prompt_embeds'`` — the subclass must
+    not also inject its keyword override when the value arrived positionally.
+    Positional order: request_id, prompt_token_ids, sampling_params,
+    pooling_params, client_index, arrival_time, prompt_embeds.
+    """
+    embeds = torch.arange(6, dtype=torch.float32).reshape(2, 3)
+    req = OmniRequest("req-pe", [1, 2], SamplingParams(), None, 0, None, embeds)
+
+    assert isinstance(req, Request)
+    assert torch.equal(req.prompt_embeds, embeds)
+    # Positional tensor is not a serialized payload.
+    assert req.prompt_embeds_payload is None
+    assert req.external_req_id is None
+
+
+def test_keyword_omni_params_round_trip():
+    """Keyword omni params are preserved; serialized embeds are decoded."""
+    arr = np.arange(6, dtype=np.float32).reshape(2, 3)
+    payload = PromptEmbedsPayload(data=arr.tobytes(), shape=[2, 3], dtype="float32")
+
+    req = OmniRequest(
+        request_id="req-1",
+        prompt_token_ids=[7, 8],
+        sampling_params=SamplingParams(),
+        pooling_params=None,
+        prompt_embeds=payload,
+        external_req_id="ext-1",
+    )
+
+    assert req.external_req_id == "ext-1"
+    # The serialized payload is retained and decoded into a tensor on the base.
+    assert req.prompt_embeds_payload is payload
+    assert torch.equal(req.prompt_embeds, torch.from_numpy(arr))
+
+
+def test_model_intermediate_buffer_round_trips_to_streaming_update():
+    buffer = {"duplex": {"turn_id": 3}}
+    request = OmniRequest(
+        request_id="req-model-buffer",
+        prompt_token_ids=[1, 2],
+        sampling_params=SamplingParams(max_tokens=16),
+        pooling_params=None,
+        resumable=True,
+        model_intermediate_buffer=buffer,
+    )
+
+    update = OmniStreamingUpdate.from_request(request)
+
+    assert update is not None
+    assert request.model_intermediate_buffer is buffer
+    assert update.model_intermediate_buffer is buffer