import unittest
from types import SimpleNamespace

import requests

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 as run_eval_few_shot_gsm8k
from sglang.test.kits.ebnf_constrained_kit import TestEBNFConstrainedMixin
from sglang.test.kits.json_constrained_kit import TestJSONConstrainedMixin
from sglang.test.kits.regex_constrained_kit import TestRegexConstrainedMixin
from sglang.test.run_eval import run_eval
from sglang.test.test_utils import (
    DEFAULT_MLA_MODEL_NAME_FOR_TEST,
    DEFAULT_MODEL_NAME_FOR_TEST_MLA,
    DEFAULT_MODEL_NAME_FOR_TEST_MLA_NEXTN,
    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
    DEFAULT_URL_FOR_TEST,
    CustomTestCase,
    is_in_amd_ci,
    popen_launch_server,
)

register_cuda_ci(est_time=350, suite="stage-c-test-large-4-gpu")


class TestDPAttentionDP2TP4(
    CustomTestCase,
    TestJSONConstrainedMixin,
    TestEBNFConstrainedMixin,
    TestRegexConstrainedMixin,
):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        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=[
                "--trust-remote-code",
                "--tp=4",
                "--enable-dp-attention",
                "--dp=2",
            ],
        )

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

    def test_mgsm_en(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mgsm_en",
            num_examples=None,
            num_threads=1024,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.8)


class TestDPAttentionDP2TP2DeepseekV3MTP(
    CustomTestCase,
    TestJSONConstrainedMixin,
    TestEBNFConstrainedMixin,
    TestRegexConstrainedMixin,
):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
        cls.base_url = DEFAULT_URL_FOR_TEST
        other_args = [
            "--trust-remote-code",
            "--disable-radix",
            "--speculative-algorithm=EAGLE",
            "--speculative-num-steps=2",
            "--speculative-eagle-topk=4",
            "--speculative-num-draft-tokens=4",
            "--speculative-draft-model-path",
            DEFAULT_MODEL_NAME_FOR_TEST_MLA_NEXTN,
            "--tp-size=4",
            "--enable-dp-attention",
            "--dp-size=2",
        ]
        if not is_in_amd_ci():
            other_args += ["--mem-frac", "0.7"]
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=other_args,
        )

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

    def test_gsm8k(self):
        requests.get(self.base_url + "/flush_cache")

        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_few_shot_gsm8k(args)
        print(metrics)

        self.assertGreater(metrics["accuracy"], 0.60)

        server_info = requests.get(self.base_url + "/get_server_info")
        avg_spec_accept_length = server_info.json()["internal_states"][0][
            "avg_spec_accept_length"
        ]
        print(
            f"###test_gsm8k (deepseek-v3 mtp + dp):\n"
            f"accuracy={metrics['accuracy']=:.3f}\n"
            f"{avg_spec_accept_length=:.3f}\n"
        )
        self.assertGreater(avg_spec_accept_length, 2.5)


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