"""
GPT-OSS piecewise CUDA graph tests.
"""

import unittest
from types import SimpleNamespace

from sglang.srt.utils import kill_process_tree
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.few_shot_gsm8k import run_eval
from sglang.test.test_utils import (
    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
    DEFAULT_URL_FOR_TEST,
    CustomTestCase,
    popen_launch_server,
)

register_cuda_ci(
    est_time=400,
    suite="stage-b-test-2-gpu-large",
)

GPT_OSS_MODEL = "openai/gpt-oss-120b"

ACC_THRESHOLDS = {
    GPT_OSS_MODEL: {"gsm8k": 0.81},
}


class TestGptOssPiecewiseCudaGraph(CustomTestCase):

    @classmethod
    def setUpClass(cls):
        cls.model = GPT_OSS_MODEL
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--tp",
                "2",
                "--trust-remote-code",
                "--reasoning-parser",
                "gpt-oss",
                "--enable-piecewise-cuda-graph",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_gsm8k(self):
        args = SimpleNamespace(
            num_shots=5,
            data_path=None,
            num_questions=200,
            max_new_tokens=512,
            parallel=128,
            host="http://127.0.0.1",
            port=int(self.base_url.split(":")[-1]),
        )
        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreaterEqual(
            metrics["accuracy"], ACC_THRESHOLDS[self.model]["gsm8k"]
        )


if __name__ == "__main__":
    unittest.main()