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
from sglang.test.kl_test_utils import (
    test_input_output_logprobs_match_decode_cache_hit_helper,
    test_input_output_logprobs_match_prefill_cache_hit_helper,
)
from sglang.test.test_utils import (
    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
    DEFAULT_URL_FOR_TEST,
    CustomTestCase,
    popen_launch_server,
)

register_cuda_ci(est_time=350, suite="stage-c-test-4-gpu-h100")

QWEN3_NEXT_MODEL = "Qwen/Qwen3-Next-80B-A3B-Instruct"

ACC_THRESHOLDS = {
    QWEN3_NEXT_MODEL: {"kl_div": 0.0025, "gsm8k": 0.93},
}


def send_request_helper(base_url: str, text: str):
    response = requests.post(
        base_url + "/generate",
        json={
            "text": text,
            "sampling_params": {
                "max_new_tokens": 1,
            },
        },
    )
    return response.json()


class TestQwen3Next(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = QWEN3_NEXT_MODEL
        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",
                "--chunked-prefill-size",
                "2048",
                "--mamba-scheduler-strategy",
                "extra_buffer",
                "--mamba-track-interval",
                "128",
            ],
        )

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

    def test_gsm8k(self):
        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(args)
        print(f"{metrics=}")
        self.assertGreaterEqual(
            metrics["accuracy"], ACC_THRESHOLDS[self.model]["gsm8k"]
        )

    def test_input_output_logprobs_match_prefill_cache_hit(self):
        test_input_output_logprobs_match_prefill_cache_hit_helper(
            self.base_url,
            ACC_THRESHOLDS,
            self.model,
            max_samples=32,
            max_new_tokens=512,
        )

    def test_input_output_logprobs_match_decode_cache_hit(self):
        test_input_output_logprobs_match_decode_cache_hit_helper(
            self.base_url,
            ACC_THRESHOLDS,
            self.model,
            max_samples=32,
            max_new_tokens=512,
        )

    def test_prefix_cache_branching(self):
        print("running test_prefix_cache_branching")
        requests.get(self.base_url + "/flush_cache")
        branching_pos = 257
        text_prefix = "hi" * branching_pos
        suffix_list = ["this" * 256, "here" * 256, "that" * 256]
        cache_hit_list = [False, False, True]

        # First request only prefill the entire sequence
        # Second request won't have cache hit, but will cache the branching point
        # Third request will have cache hit on the branching point
        for i, (suffix, cache_hit) in enumerate(
            zip(suffix_list, cache_hit_list, strict=True)
        ):
            result = send_request_helper(self.base_url, text_prefix + suffix)
            cached_tokens = result["meta_info"]["cached_tokens"]
            if cache_hit:
                expected_cached_tokens = branching_pos // 64 * 64
                assert (
                    cached_tokens == expected_cached_tokens
                ), f"{i=}, {cache_hit=}, {cached_tokens=} is not equal to {expected_cached_tokens=}, {branching_pos=}"
            else:
                assert (
                    cached_tokens == 0
                ), f"{i=}, {cache_hit=}, {cached_tokens=} is not 0"
        print("test_prefix_cache_branching passed")


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