import unittest
from types import SimpleNamespace

import requests

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.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,
)


class TestDPAttentionDP2TP2(CustomTestCase):
    @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",
                "2",
                "--enable-dp-attention",
                "--dp",
                "2",
                "--enable-torch-compile",
                "--torch-compile-max-bs",
                "2",
            ],
        )

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

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.5)

    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):
    @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",
            DEFAULT_MODEL_NAME_FOR_TEST_MLA_NEXTN,
            "--tp-size",
            "2",
            "--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)


# TODO: enable this test later
# class TestDPAttentionDP2TP2DeepseekV3MTPTBO(CustomTestCase):
#     @classmethod
#     def setUpClass(cls):
#         import os

#         # print debug log for tbo
#         os.environ["SGLANG_TBO_DEBUG"] = "1"
#         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",
#             DEFAULT_MODEL_NAME_FOR_TEST_MLA_NEXTN,
#             "--tp-size",
#             "2",
#             "--enable-dp-attention",
#             "--dp-size",
#             "2",
#             "--enable-two-batch-overlap",
#             "--enable-deepep-moe",
#             "--deepep-mode",
#             "low_latency",
#             "--chunked-prefill-size",
#             "256",
#             "--cuda-graph-max-bs",
#             "32",
#             "--max-running-requests",
#             "32",
#         ]
#         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 + tbo):\n"
#             f"accuracy={metrics['accuracy']=:.3f}\n"
#             f"{avg_spec_accept_length=:.3f}\n"
#         )
#         self.assertGreater(avg_spec_accept_length, 2.3)


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