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.run_eval import run_eval
from sglang.test.test_utils import (
    DEFAULT_URL_FOR_TEST,
    CustomTestCase,
    popen_launch_server,
    try_cached_model,
)

register_cuda_ci(est_time=3600, suite="nightly-8-gpu-b200", nightly=True)

FULL_DEEPSEEK_V3_MODEL_PATH = "deepseek-ai/DeepSeek-V3-0324"
SERVER_LAUNCH_TIMEOUT = 1000


class TestDeepseekR1Fp8Flashinfer(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = try_cached_model(FULL_DEEPSEEK_V3_MODEL_PATH)
        cls.base_url = DEFAULT_URL_FOR_TEST
        other_args = [
            "--trust-remote-code",
            "--disable-radix-cache",
            "--max-running-requests",
            "512",
            "--chunked-prefill-size",
            "8192",
            "--mem-fraction-static",
            "0.9",
            "--cuda-graph-max-bs",
            "128",
            "--max-prefill-tokens",
            "8192",
            "--kv-cache-dtype",
            "fp8_e4m3",
            "--quantization",
            "fp8",
            "--tensor-parallel-size",
            "8",
            "--data-parallel-size",
            "1",
            "--expert-parallel-size",
            "1",
            "--scheduler-recv-interval",
            "10",
            "--stream-interval",
            "10",
            "--attention-backend",
            "trtllm_mla",
            "--fp8-gemm-backend",
            "flashinfer_trtllm",
            "--moe-runner-backend",
            "flashinfer_trtllm",
            "--enable-symm-mem",
            "--model-loader-extra-config",
            '{"enable_multithread_load": true,"num_threads": 64}',
        ]
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=SERVER_LAUNCH_TIMEOUT,
            other_args=other_args,
        )

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

    def test_gsm8k(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="gsm8k",
            api="completion",
            max_tokens=512,
            num_examples=512,
            num_threads=512,
        )
        metrics = run_eval(args)
        print(f"Eval accuracy of GSM8K: {metrics=}")

        self.assertGreater(metrics["score"], 0.92)


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