import os
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.run_eval import run_eval
from sglang.test.test_utils import (
    DEFAULT_MODEL_NAME_FOR_TEST_MLA,
    DEFAULT_MODEL_NAME_FOR_TEST_MLA_NEXTN,
    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
    DEFAULT_URL_FOR_TEST,
    CustomTestCase,
    popen_launch_server,
)

register_cuda_ci(est_time=478, stage="base-c", runner_config="deepep-4-gpu-h100")


class TestPureDP(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
        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",
                "4",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs-decode",
                "128",
                "--max-running-requests",
                "512",
                "--mem-fraction-static",
                "0.5",
            ],
        )

    @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=200,
            num_threads=128,
        )
        metrics = run_eval(args)
        print(metrics)

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


class TestHybridDPTP(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
        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",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs-decode",
                "128",
                "--max-running-requests",
                "256",
            ],
        )

    @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=200,
            num_threads=128,
        )
        metrics = run_eval(args)
        print(metrics)

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


class TestTP(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
        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",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs-decode",
                "128",
                "--max-running-requests",
                "128",
            ],
        )

    @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=200,
            num_threads=128,
        )
        metrics = run_eval(args)
        print(metrics)

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


@unittest.skip("covered in test_deepep_large.py")
class TestNoGatherdBuffer(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
        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",
                "4",
                "--moe-dense-tp-size",
                "1",
                "--enable-dp-lm-head",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs-decode",
                "32",
                "--max-running-requests",
                "512",
            ],
        )

    @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=200,
            num_threads=128,
        )
        metrics = run_eval(args)
        print(metrics)

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


class TestTBO(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
        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",
                "4",
                "--moe-dense-tp-size",
                "1",
                "--moe-a2a-backend",
                "deepep",
                "--enable-two-batch-overlap",
                "--cuda-graph-max-bs-decode",
                "128",
                "--max-running-requests",
                "512",
            ],
            env={
                **os.environ,
                "SGLANG_TBO_DEBUG": "1",
            },
        )

    @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=200,
            num_threads=128,
        )
        metrics = run_eval(args)
        print(metrics)

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


class TestTBOWithTPAttn(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
        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",
                "--moe-a2a-backend",
                "deepep",
                "--enable-two-batch-overlap",
                "--cuda-graph-max-bs-decode",
                "128",
                "--max-running-requests",
                "512",
                "--mem-fraction-static",  # temp fix as DeepEP buffer is too large.
                "0.7",
            ],
            env={
                **os.environ,
                "SGLANG_TBO_DEBUG": "1",
            },
        )

    @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=200,
            num_threads=128,
        )
        metrics = run_eval(args)
        print(metrics)

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


# There exists bug when using MTP + TBO + attn_tp_size > 1, currently skip that case.
# @unittest.skip("covered in TestMTPWithTPAttnAndTBO")
class TestTBOWithTPAttnAndDenseDP(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
        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",
                "--moe-dense-tp-size",
                "1",
                "--moe-a2a-backend",
                "deepep",
                "--enable-two-batch-overlap",
                "--cuda-graph-max-bs-decode",
                "128",
                "--max-running-requests",
                "512",
                "--mem-fraction-static",  # temp fix as DeepEP buffer is too large.
                "0.7",
            ],
            env={
                **os.environ,
                "SGLANG_TBO_DEBUG": "1",
            },
        )

    @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=200,
            num_threads=128,
        )
        metrics = run_eval(args)
        print(metrics)

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


@unittest.skip("covered in TestMTPWithTBO")
class TestMTP(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
        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",
                "--enable-dp-lm-head",
                "--moe-a2a-backend",
                "deepep",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                DEFAULT_MODEL_NAME_FOR_TEST_MLA_NEXTN,
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "3",
                "--speculative-num-draft-tokens",
                "3",
                "--cuda-graph-max-bs-decode",
                "32",
                "--max-running-requests",
                "64",
            ],
        )

    @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=200,
            num_threads=128,
        )
        metrics = run_eval(args)
        print(metrics)

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

        server_info = requests.get(self.base_url + "/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['score']=:.3f}\n"
            f"{avg_spec_accept_length=:.3f}\n"
        )
        self.assertGreater(avg_spec_accept_length, 2.1)


class TestMTPWithTBO(CustomTestCase):
    @classmethod
    def setUpClass(cls):

        cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
        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-size",
                "4",
                "--enable-dp-attention",
                "--dp-size",
                "4",
                "--enable-two-batch-overlap",
                "--moe-a2a-backend",
                "deepep",
                "--trust-remote-code",
                "--speculative-algorithm",
                "EAGLE",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "3",
                "--speculative-num-draft-tokens",
                "3",
                "--speculative-draft-model-path",
                DEFAULT_MODEL_NAME_FOR_TEST_MLA_NEXTN,
                "--chunked-prefill-size",
                "256",
                "--cuda-graph-max-bs-decode",
                "32",
                "--max-running-requests",
                "128",
            ],
            env={
                **os.environ,
                "SGLANG_TBO_DEBUG": "1",
            },
        )

    @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=200,
            num_threads=128,
        )
        metrics = run_eval(args)
        print(metrics)

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

        server_info = requests.get(self.base_url + "/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['score']=:.3f}\n"
            f"{avg_spec_accept_length=:.3f}\n"
        )
        self.assertGreater(avg_spec_accept_length, 2.1)


@unittest.skip("skipped due to bug when using MTP & TBO & attn_tp_size > 1")
class TestMTPWithTPAttnAndTBO(CustomTestCase):
    @classmethod
    def setUpClass(cls):

        cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
        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-size",
                "4",
                "--moe-dense-tp-size",
                "1",
                "--enable-two-batch-overlap",
                "--moe-a2a-backend",
                "deepep",
                "--trust-remote-code",
                "--speculative-algorithm",
                "EAGLE",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "3",
                "--speculative-num-draft-tokens",
                "3",
                "--speculative-draft-model-path",
                DEFAULT_MODEL_NAME_FOR_TEST_MLA_NEXTN,
                "--chunked-prefill-size",
                "256",
                "--cuda-graph-max-bs-decode",
                "32",
                "--max-running-requests",
                "128",
                "--mem-fraction-static",  # temp fix as DeepEP buffer is too large.
                "0.7",
            ],
            env={
                **os.environ,
                "SGLANG_TBO_DEBUG": "1",
            },
        )

    @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=200,
            num_threads=128,
        )
        metrics = run_eval(args)
        print(metrics)

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

        server_info = requests.get(self.base_url + "/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['score']=:.3f}\n"
            f"{avg_spec_accept_length=:.3f}\n"
        )
        self.assertGreater(avg_spec_accept_length, 2.1)


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