import unittest
from types import SimpleNamespace

import requests
import torch

from sglang.srt.utils import kill_process_tree
from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
from sglang.test.test_utils import (
    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
    DEFAULT_URL_FOR_TEST,
    CustomTestCase,
    is_in_ci,
    popen_launch_server,
    run_bench_one_batch,
    write_github_step_summary,
)

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


class TestDeepseekV3(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = FULL_DEEPSEEK_V3_MODEL_PATH
        cls.base_url = DEFAULT_URL_FOR_TEST
        other_args = ["--trust-remote-code", "--tp", "8"]
        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):
        args = SimpleNamespace(
            num_shots=8,
            data_path=None,
            num_questions=1400,
            parallel=1400,
            max_new_tokens=512,
            host="http://127.0.0.1",
            port=int(self.base_url.split(":")[-1]),
        )
        metrics = run_eval_few_shot_gsm8k(args)
        print(f"{metrics=}")

        self.assertGreater(metrics["accuracy"], 0.94)


class TestBenchOneBatch(CustomTestCase):
    def test_bs1(self):
        output_throughput = run_bench_one_batch(
            FULL_DEEPSEEK_V3_MODEL_PATH,
            ["--trust-remote-code", "--tp", "8", "--cuda-graph-max-bs", "2"],
        )
        print(f"output_throughput : {output_throughput:.2f} token/s")
        if is_in_ci():
            write_github_step_summary(
                f"### test_bs1\n"
                f"output_throughput : {output_throughput:.2f} token/s\n"
            )
            self.assertGreater(output_throughput, 70)


class TestDeepseekV3MTP(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = FULL_DEEPSEEK_V3_MODEL_PATH
        cls.base_url = DEFAULT_URL_FOR_TEST
        other_args = [
            "--tp",
            "8",
            "--trust-remote-code",
            "--speculative-algorithm",
            "EAGLE",
            "--speculative-draft",
            "lmsys/DeepSeek-V3-0324-NextN",
            "--speculative-num-steps",
            "5",
            "--speculative-eagle-topk",
            "4",
            "--speculative-num-draft-tokens",
            "8",
            "--mem-fraction-static",
            "0.6",
        ]
        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(f"{metrics=}")
        self.assertGreater(metrics["accuracy"], 0.94)

        server_info = requests.get(self.base_url + "/get_server_info")
        avg_spec_accept_length = server_info.json()["avg_spec_accept_length"]
        print(f"{avg_spec_accept_length=}")
        self.assertGreater(avg_spec_accept_length, 3.2)


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