# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0

import json
import os
import subprocess
import sys

import pytest

from dynamo.llm import KvRouterConfig, MockEngineArgs
from dynamo.replay import run_synthetic_trace_replay, run_trace_replay
from dynamo.replay.main import main
from dynamo.replay.reporting import format_report_table, write_report_json

pytestmark = [
    pytest.mark.gpu_0,
    pytest.mark.parallel,
    pytest.mark.pre_merge,
    pytest.mark.unit,
]

MOONCAKE_TRACE_FIRST20 = """{"timestamp": 0, "input_length": 6755, "output_length": 500, "hash_ids": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]}
{"timestamp": 0, "input_length": 7319, "output_length": 490, "hash_ids": [0, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27]}
{"timestamp": 0, "input_length": 7234, "output_length": 794, "hash_ids": [0, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41]}
{"timestamp": 0, "input_length": 2287, "output_length": 316, "hash_ids": [0, 42, 43, 44, 45]}
{"timestamp": 0, "input_length": 9013, "output_length": 3, "hash_ids": [46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]}
{"timestamp": 0, "input_length": 6506, "output_length": 3, "hash_ids": [46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 64]}
{"timestamp": 0, "input_length": 4824, "output_length": 173, "hash_ids": [0, 65, 66, 67, 68, 69, 70, 71, 72, 73]}
{"timestamp": 0, "input_length": 3119, "output_length": 20, "hash_ids": [74, 75, 76, 77, 78, 79, 80]}
{"timestamp": 0, "input_length": 23090, "output_length": 453, "hash_ids": [0, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125]}
{"timestamp": 0, "input_length": 3135, "output_length": 19, "hash_ids": [74, 75, 76, 77, 78, 126, 127]}
{"timestamp": 0, "input_length": 26874, "output_length": 458, "hash_ids": [0, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179]}
{"timestamp": 0, "input_length": 10487, "output_length": 402, "hash_ids": [0, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199]}
{"timestamp": 0, "input_length": 17448, "output_length": 610, "hash_ids": [0, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233]}
{"timestamp": 0, "input_length": 6253, "output_length": 3, "hash_ids": [46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 234]}
{"timestamp": 0, "input_length": 6725, "output_length": 32, "hash_ids": [46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 235, 236]}
{"timestamp": 3052, "input_length": 13538, "output_length": 71, "hash_ids": [0, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262]}
{"timestamp": 3052, "input_length": 87162, "output_length": 402, "hash_ids": [0, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432]}
{"timestamp": 3052, "input_length": 6166, "output_length": 24, "hash_ids": [46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 433]}
{"timestamp": 3052, "input_length": 6320, "output_length": 548, "hash_ids": [0, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445]}
{"timestamp": 3052, "input_length": 2007, "output_length": 354, "hash_ids": [0, 446, 447, 448]}
"""


def _vllm_args_payload():
    return {
        "block_size": 64,
        "speedup_ratio": 1000.0,
    }


def _sglang_args_payload():
    return {
        "engine_type": "sglang",
        "num_gpu_blocks": 512,
        "block_size": 64,
        "speedup_ratio": 1000.0,
        "sglang": {
            "page_size": 64,
        },
    }


def _router_config_payload():
    return {
        "router_queue_threshold": 1.25,
        "router_event_threads": 1,
        "router_queue_policy": "wspt",
        "router_temperature": 0.0,
        "overlap_score_weight": 1.0,
        "use_kv_events": True,
        "durable_kv_events": False,
        "router_replica_sync": False,
        "router_track_active_blocks": True,
        "router_track_output_blocks": False,
        "router_assume_kv_reuse": True,
        "router_snapshot_threshold": 1000000,
        "router_reset_states": False,
        "router_ttl_secs": 120.0,
        "router_max_tree_size": 1048576,
        "router_prune_target_ratio": 0.8,
        "router_enable_cache_control": False,
        "skip_initial_worker_wait": False,
        "min_initial_workers": 1,
        "remote_indexer_component": None,
    }


def _write_trace_and_args(tmp_path):
    trace_path = tmp_path / "trace.jsonl"
    records = [
        {
            "timestamp": 1000.0,
            "input_length": 64,
            "output_length": 2,
            "hash_ids": [101],
        },
        {
            "timestamp": 1005.0,
            "input_length": 64,
            "output_length": 2,
            "hash_ids": [101],
        },
    ]
    trace_path.write_text(
        "\n".join(json.dumps(record) for record in records) + "\n",
        encoding="utf-8",
    )
    return trace_path


def _write_multiturn_trace(tmp_path):
    trace_path = tmp_path / "multiturn_trace.jsonl"
    records = [
        {
            "session_id": "session-a",
            "timestamp": 1000.0,
            "input_length": 64,
            "output_length": 2,
            "hash_ids": [101],
        },
        {
            "session_id": "session-b",
            "timestamp": 1002.0,
            "input_length": 64,
            "output_length": 2,
            "hash_ids": [202],
        },
        {
            "session_id": "session-a",
            "delay": 5.0,
            "input_length": 64,
            "output_length": 2,
            "hash_ids": [303],
        },
        {
            "session_id": "session-b",
            "delay": 1.0,
            "input_length": 64,
            "output_length": 2,
            "hash_ids": [404],
        },
    ]
    trace_path.write_text(
        "\n".join(json.dumps(record) for record in records) + "\n",
        encoding="utf-8",
    )
    return trace_path


def _write_cli_smoke_trace(tmp_path):
    trace_path = tmp_path / "cli_smoke_trace.jsonl"
    records = []
    for index in range(10):
        records.append(
            {
                "timestamp": 1000.0 + index,
                "input_length": 250,
                "output_length": 25,
                "hash_ids": [index, index + 1, index + 2, index + 3],
            }
        )
    trace_path.write_text(
        "\n".join(json.dumps(record) for record in records) + "\n",
        encoding="utf-8",
    )
    return trace_path


def _write_vllm_args(tmp_path):
    args_path = tmp_path / "args.json"
    args_path.write_text(
        json.dumps(_vllm_args_payload()),
        encoding="utf-8",
    )
    return args_path


def _vllm_args():
    return MockEngineArgs.from_json(json.dumps(_vllm_args_payload()))


def _write_sglang_args(tmp_path):
    args_path = tmp_path / "sglang_args.json"
    args_path.write_text(
        json.dumps(_sglang_args_payload()),
        encoding="utf-8",
    )
    return args_path


def _sglang_args():
    return MockEngineArgs.from_json(json.dumps(_sglang_args_payload()))


def _write_router_config(tmp_path):
    config_path = tmp_path / "router_config.json"
    config_path.write_text(
        json.dumps(_router_config_payload()),
        encoding="utf-8",
    )
    return config_path


def _router_config():
    return KvRouterConfig.from_json(json.dumps(_router_config_payload()))


def _partial_router_config():
    return KvRouterConfig(
        router_queue_threshold=1.25,
        router_event_threads=1,
        router_queue_policy="wspt",
    )


def _assert_basic_report_counts(report, *, num_requests, input_tokens, output_tokens):
    assert report["num_requests"] == num_requests
    assert report["completed_requests"] == num_requests
    assert report["total_input_tokens"] == num_requests * input_tokens
    assert report["total_output_tokens"] == num_requests * output_tokens


def _assert_basic_report_metrics(report):
    assert report["request_throughput_rps"] > 0
    assert report["output_throughput_tok_s"] > 0
    assert report["duration_ms"] > 0


def _replay_cli_env() -> dict[str, str]:
    env = os.environ.copy()
    pythonpath_entries = ["lib/bindings/python/src", "components/src"]
    existing_pythonpath = env.get("PYTHONPATH")
    if existing_pythonpath:
        pythonpath_entries.append(existing_pythonpath)
    env["PYTHONPATH"] = ":".join(pythonpath_entries)
    return env


def _run_replay_cli(tmp_path, *args):
    return subprocess.run(
        [
            sys.executable,
            "-m",
            "dynamo.replay",
            *args,
        ],
        capture_output=True,
        check=True,
        cwd=str(tmp_path),
        env=_replay_cli_env(),
        text=True,
    )


def _assert_replay_cli_outputs(completed, report_path):
    assert "NVIDIA AIPerf | LLM Metrics" in completed.stdout
    assert "Saved full report to:" in completed.stdout
    assert '"completed_requests"' not in completed.stdout
    return json.loads(report_path.read_text(encoding="utf-8"))


@pytest.mark.parametrize("engine_type", ["vllm", "sglang"])
@pytest.mark.parametrize("replay_mode", ["offline", "online"])
@pytest.mark.parametrize("router_mode", ["round_robin", "kv_router"])
def test_run_trace_replay_smoke_matrix(tmp_path, engine_type, replay_mode, router_mode):
    trace_path = _write_trace_and_args(tmp_path)
    args_path = _vllm_args() if engine_type == "vllm" else _sglang_args()
    num_workers = 1 if router_mode == "round_robin" else 2

    report = run_trace_replay(
        trace_path,
        extra_engine_args=args_path,
        num_workers=num_workers,
        replay_mode=replay_mode,
        router_mode=router_mode,
    )

    _assert_basic_report_counts(
        report,
        num_requests=2,
        input_tokens=64,
        output_tokens=2,
    )


@pytest.mark.parametrize("engine_type", ["vllm", "sglang"])
@pytest.mark.parametrize("replay_mode", ["offline", "online"])
def test_run_trace_replay_invariant_counts_match(tmp_path, engine_type, replay_mode):
    trace_path = _write_trace_and_args(tmp_path)
    args_path = _vllm_args() if engine_type == "vllm" else _sglang_args()

    single = run_trace_replay(
        trace_path,
        extra_engine_args=args_path,
        num_workers=1,
        replay_mode=replay_mode,
    )
    multi_round_robin = run_trace_replay(
        trace_path,
        extra_engine_args=args_path,
        num_workers=4,
        replay_mode=replay_mode,
        router_mode="round_robin",
    )
    multi_kv_router = run_trace_replay(
        trace_path,
        extra_engine_args=args_path,
        num_workers=4,
        replay_mode=replay_mode,
        router_mode="kv_router",
    )

    for field in (
        "num_requests",
        "completed_requests",
        "total_input_tokens",
        "total_output_tokens",
    ):
        assert single[field] == multi_round_robin[field]
        assert single[field] == multi_kv_router[field]


@pytest.mark.parametrize("replay_mode", ["offline", "online"])
def test_run_trace_replay_supports_multiturn_sessions(tmp_path, replay_mode):
    trace_path = _write_multiturn_trace(tmp_path)

    report = run_trace_replay(
        trace_path,
        extra_engine_args=_vllm_args(),
        num_workers=2,
        replay_mode=replay_mode,
        router_mode="kv_router",
    )

    _assert_basic_report_counts(
        report,
        num_requests=4,
        input_tokens=64,
        output_tokens=2,
    )


@pytest.mark.parametrize("engine_type", ["vllm", "sglang"])
@pytest.mark.parametrize("replay_mode", ["offline", "online"])
@pytest.mark.parametrize("router_mode", ["round_robin", "kv_router"])
def test_run_synthetic_trace_replay_smoke_matrix(
    tmp_path, engine_type, replay_mode, router_mode
):
    args_path = _vllm_args() if engine_type == "vllm" else _sglang_args()
    num_workers = 1 if router_mode == "round_robin" else 2

    report = run_synthetic_trace_replay(
        64,
        2,
        2,
        extra_engine_args=args_path,
        num_workers=num_workers,
        replay_mode=replay_mode,
        router_mode=router_mode,
        arrival_interval_ms=5.0,
    )

    _assert_basic_report_counts(
        report,
        num_requests=2,
        input_tokens=64,
        output_tokens=2,
    )


@pytest.mark.parametrize("engine_type", ["vllm", "sglang"])
@pytest.mark.parametrize("replay_mode", ["offline", "online"])
def test_run_synthetic_trace_replay_invariant_counts_match(
    tmp_path, engine_type, replay_mode
):
    args_path = _vllm_args() if engine_type == "vllm" else _sglang_args()

    single = run_synthetic_trace_replay(
        64,
        2,
        2,
        extra_engine_args=args_path,
        num_workers=1,
        replay_mode=replay_mode,
        arrival_interval_ms=5.0,
    )
    multi_round_robin = run_synthetic_trace_replay(
        64,
        2,
        2,
        extra_engine_args=args_path,
        num_workers=4,
        replay_mode=replay_mode,
        router_mode="round_robin",
        arrival_interval_ms=5.0,
    )
    multi_kv_router = run_synthetic_trace_replay(
        64,
        2,
        2,
        extra_engine_args=args_path,
        num_workers=4,
        replay_mode=replay_mode,
        router_mode="kv_router",
        arrival_interval_ms=5.0,
    )

    for field in (
        "num_requests",
        "completed_requests",
        "total_input_tokens",
        "total_output_tokens",
    ):
        assert single[field] == multi_round_robin[field]
        assert single[field] == multi_kv_router[field]


@pytest.mark.parametrize("replay_mode", ["offline", "online"])
def test_run_synthetic_trace_replay_supports_multiturn_workloads(tmp_path, replay_mode):
    report = run_synthetic_trace_replay(
        64,
        2,
        3,
        extra_engine_args=_vllm_args(),
        num_workers=2,
        replay_mode=replay_mode,
        router_mode="kv_router",
        turns_per_session=2,
        inter_turn_delay_ms=5.0,
        shared_prefix_ratio=0.5,
        num_prefix_groups=2,
    )

    _assert_basic_report_counts(
        report,
        num_requests=6,
        input_tokens=64,
        output_tokens=2,
    )


@pytest.mark.parametrize(
    ("input_tokens", "output_tokens", "expected_message"),
    [
        (0, 2, "input_tokens must be at least 1"),
        (2, 0, "output_tokens must be at least 1"),
    ],
)
def test_run_synthetic_trace_replay_workload_validates_zero_token_lengths(
    input_tokens, output_tokens, expected_message
):
    with pytest.raises(Exception, match=expected_message):
        run_synthetic_trace_replay(
            input_tokens,
            output_tokens,
            2,
            extra_engine_args=_vllm_args(),
            num_workers=2,
            replay_mode="offline",
            router_mode="kv_router",
            turns_per_session=2,
        )


@pytest.mark.parametrize("engine_type", ["vllm", "sglang"])
@pytest.mark.parametrize("replay_mode", ["offline", "online"])
def test_run_synthetic_concurrency_replay_counts_match(
    tmp_path, engine_type, replay_mode
):
    args_path = _vllm_args() if engine_type == "vllm" else _sglang_args()

    report = run_synthetic_trace_replay(
        64,
        2,
        3,
        extra_engine_args=args_path,
        num_workers=2,
        replay_mode=replay_mode,
        replay_concurrency=2,
    )

    _assert_basic_report_counts(
        report,
        num_requests=3,
        input_tokens=64,
        output_tokens=2,
    )


@pytest.mark.parametrize("replay_mode", ["offline", "online"])
def test_run_trace_replay_accepts_router_config(tmp_path, replay_mode):
    trace_path = _write_trace_and_args(tmp_path)
    args_path = _vllm_args()
    router_config_path = _router_config()

    report = run_trace_replay(
        trace_path,
        extra_engine_args=args_path,
        router_config=router_config_path,
        num_workers=2,
        replay_mode=replay_mode,
        router_mode="kv_router",
    )

    _assert_basic_report_counts(
        report,
        num_requests=2,
        input_tokens=64,
        output_tokens=2,
    )


@pytest.mark.parametrize("replay_mode", ["offline", "online"])
def test_run_trace_replay_accepts_partial_router_config_json(tmp_path, replay_mode):
    trace_path = _write_trace_and_args(tmp_path)
    args_path = _vllm_args()

    report = run_trace_replay(
        trace_path,
        extra_engine_args=args_path,
        router_config=_partial_router_config(),
        num_workers=2,
        replay_mode=replay_mode,
        router_mode="kv_router",
    )

    _assert_basic_report_counts(
        report,
        num_requests=2,
        input_tokens=64,
        output_tokens=2,
    )


@pytest.mark.parametrize("replay_mode", ["offline", "online"])
def test_run_trace_replay_accepts_partial_extra_engine_args_json(tmp_path, replay_mode):
    trace_path = _write_trace_and_args(tmp_path)

    report = run_trace_replay(
        trace_path,
        extra_engine_args=MockEngineArgs(block_size=64, speedup_ratio=1000.0),
        num_workers=1,
        replay_mode=replay_mode,
    )

    _assert_basic_report_counts(
        report,
        num_requests=2,
        input_tokens=64,
        output_tokens=2,
    )


def test_format_report_table_matches_aiperf_shape():
    report = {
        "mean_ttft_ms": 18.26,
        "min_ttft_ms": 11.22,
        "max_ttft_ms": 106.32,
        "p99_ttft_ms": 68.82,
        "p90_ttft_ms": 27.76,
        "p75_ttft_ms": 16.62,
        "std_ttft_ms": 12.07,
        "mean_ttst_ms": 11.40,
        "min_ttst_ms": 0.02,
        "max_ttst_ms": 85.91,
        "p99_ttst_ms": 34.54,
        "p90_ttst_ms": 12.59,
        "p75_ttst_ms": 11.65,
        "std_ttst_ms": 7.01,
        "mean_e2e_latency_ms": 487.30,
        "min_e2e_latency_ms": 267.07,
        "max_e2e_latency_ms": 769.57,
        "p99_e2e_latency_ms": 715.99,
        "p90_e2e_latency_ms": 580.83,
        "p75_e2e_latency_ms": 536.17,
        "std_e2e_latency_ms": 79.60,
        "mean_itl_ms": 11.23,
        "min_itl_ms": 8.80,
        "max_itl_ms": 13.17,
        "p99_itl_ms": 12.48,
        "p90_itl_ms": 11.73,
        "p75_itl_ms": 11.37,
        "std_itl_ms": 0.45,
        "mean_output_token_throughput_per_user": 89.23,
        "min_output_token_throughput_per_user": 75.93,
        "max_output_token_throughput_per_user": 113.60,
        "p99_output_token_throughput_per_user": 102.28,
        "p90_output_token_throughput_per_user": 90.91,
        "p75_output_token_throughput_per_user": 90.29,
        "std_output_token_throughput_per_user": 3.70,
        "output_throughput_tok_s": 10944.03,
        "request_throughput_rps": 255.54,
        "completed_requests": 711,
        "wall_time_ms": 4046.31,
        "prefix_cache_reused_ratio": 0.3587,
    }

    rendered = format_report_table(report)

    assert "NVIDIA AIPerf | LLM Metrics" in rendered
    assert "Time to First Token (ms)" in rendered
    assert "Output Token Throughput (tokens/sec)" in rendered
    assert "Request Throughput (requests/sec)" in rendered
    assert "Prefix Cache Reused Ratio: 0.36" in rendered
    assert "10,944.03" in rendered
    assert "255.54" in rendered
    assert "N/A" in rendered


def test_write_report_json_creates_file(tmp_path):
    report_path = write_report_json({"completed_requests": 2}, tmp_path / "report.json")
    assert (
        report_path.read_text(encoding="utf-8") == '{\n  "completed_requests": 2\n}\n'
    )


def test_replay_cli_prints_table_and_saves_json(tmp_path, monkeypatch, capsys):
    report = {
        "mean_ttft_ms": 10.0,
        "min_ttft_ms": 9.0,
        "max_ttft_ms": 12.0,
        "p99_ttft_ms": 12.0,
        "p90_ttft_ms": 11.0,
        "p75_ttft_ms": 10.5,
        "std_ttft_ms": 1.0,
        "output_throughput_tok_s": 123.0,
        "request_throughput_rps": 4.0,
        "completed_requests": 3,
    }

    def fake_run(*args, **kwargs):
        return report

    monkeypatch.setattr("dynamo.replay.main.run_synthetic_trace_replay", fake_run)
    report_path = tmp_path / "cli_report.json"

    exit_code = main(
        [
            "--input-tokens",
            "16",
            "--output-tokens",
            "8",
            "--request-count",
            "3",
            "--report-json",
            str(report_path),
        ]
    )

    assert exit_code == 0
    stdout = capsys.readouterr().out
    assert "NVIDIA AIPerf | LLM Metrics" in stdout
    assert "Saved full report to:" in stdout
    assert '"completed_requests"' not in stdout
    assert json.loads(report_path.read_text(encoding="utf-8")) == report


def test_replay_cli_passes_multiturn_workload_kwargs(monkeypatch):
    captured = {}

    def fake_run(*args, **kwargs):
        captured["args"] = args
        captured["kwargs"] = kwargs
        return {
            "completed_requests": 4,
            "request_throughput_rps": 1.0,
            "output_throughput_tok_s": 1.0,
        }

    monkeypatch.setattr("dynamo.replay.main.run_synthetic_trace_replay", fake_run)

    exit_code = main(
        [
            "--input-tokens",
            "16",
            "--output-tokens",
            "8",
            "--request-count",
            "2",
            "--turns-per-session",
            "2",
            "--shared-prefix-ratio",
            "0.5",
            "--num-prefix-groups",
            "3",
            "--inter-turn-delay-ms",
            "7.0",
        ]
    )

    assert exit_code == 0
    assert captured["args"] == (16, 8, 2)
    assert captured["kwargs"]["turns_per_session"] == 2
    assert captured["kwargs"]["shared_prefix_ratio"] == 0.5
    assert captured["kwargs"]["num_prefix_groups"] == 3
    assert captured["kwargs"]["inter_turn_delay_ms"] == 7.0


@pytest.mark.timeout(30)
def test_replay_cli_subprocess_synthetic_smoke(tmp_path):
    report_path = tmp_path / "synthetic_report.json"

    completed = _run_replay_cli(
        tmp_path,
        "--input-tokens",
        "250",
        "--output-tokens",
        "25",
        "--request-count",
        "10",
        "--num-workers",
        "4",
        "--replay-concurrency",
        "4",
        "--report-json",
        str(report_path),
        "--extra-engine-args",
        '{"block_size":64,"speedup_ratio":1000.0}',
    )

    report = _assert_replay_cli_outputs(completed, report_path)
    _assert_basic_report_counts(
        report,
        num_requests=10,
        input_tokens=250,
        output_tokens=25,
    )
    _assert_basic_report_metrics(report)


@pytest.mark.timeout(30)
def test_replay_cli_subprocess_synthetic_multiturn_smoke(tmp_path):
    report_path = tmp_path / "synthetic_multiturn_report.json"

    completed = _run_replay_cli(
        tmp_path,
        "--input-tokens",
        "64",
        "--output-tokens",
        "4",
        "--request-count",
        "3",
        "--turns-per-session",
        "2",
        "--shared-prefix-ratio",
        "0.5",
        "--num-prefix-groups",
        "2",
        "--inter-turn-delay-ms",
        "5.0",
        "--num-workers",
        "2",
        "--report-json",
        str(report_path),
        "--extra-engine-args",
        '{"block_size":64,"speedup_ratio":1000.0}',
    )

    report = _assert_replay_cli_outputs(completed, report_path)
    _assert_basic_report_counts(
        report,
        num_requests=6,
        input_tokens=64,
        output_tokens=4,
    )
    _assert_basic_report_metrics(report)


@pytest.mark.timeout(30)
def test_replay_cli_subprocess_trace_smoke(tmp_path):
    trace_path = _write_cli_smoke_trace(tmp_path)
    report_path = tmp_path / "trace_report.json"

    completed = _run_replay_cli(
        tmp_path,
        str(trace_path),
        "--replay-mode",
        "offline",
        "--router-mode",
        "kv_router",
        "--num-workers",
        "4",
        "--report-json",
        str(report_path),
        "--extra-engine-args",
        '{"block_size":64,"speedup_ratio":1000.0}',
    )

    report = _assert_replay_cli_outputs(completed, report_path)
    _assert_basic_report_counts(
        report,
        num_requests=10,
        input_tokens=250,
        output_tokens=25,
    )
    _assert_basic_report_metrics(report)


@pytest.mark.timeout(30)
def test_replay_cli_subprocess_multiturn_trace_smoke(tmp_path):
    trace_path = _write_multiturn_trace(tmp_path)
    report_path = tmp_path / "multiturn_trace_report.json"

    completed = _run_replay_cli(
        tmp_path,
        str(trace_path),
        "--replay-mode",
        "online",
        "--router-mode",
        "kv_router",
        "--num-workers",
        "2",
        "--report-json",
        str(report_path),
        "--extra-engine-args",
        '{"block_size":64,"speedup_ratio":1000.0}',
    )

    report = _assert_replay_cli_outputs(completed, report_path)
    _assert_basic_report_counts(
        report,
        num_requests=4,
        input_tokens=64,
        output_tokens=2,
    )
    _assert_basic_report_metrics(report)
