#!/usr/bin/env python3
# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0

"""
KVBM (KV Block Manager) integration tests for vLLM.

These tests validate core KVBM functionality:
1. Offload/Onboard: Request offloads to CPU, cache reset, re-request triggers onboarding
2. Eviction: GPU cache fills, blocks evicted, later retrieved without corruption
3. Determinism: Responses remain identical across offload/onboard/eviction cycles
"""

import pytest
import requests

from .common import llm_server_kvbm  # noqa: F401
from .common import DeterminismTester, assert_deterministic, fetch_kvbm_metrics

# Test configuration
MIN_OFFLOAD_BLOCKS = 12  # Minimum blocks expected for Qwen3-0.6B with test prompts
MAX_TOKENS = 15  # Max tokens to generate in test responses

# Shared test prompt (Aeldora story)
AELDORA_STORY = (
    "In the heart of Eldoria, an ancient land of boundless magic and mysterious creatures, "
    "lies the long-forgotten city of Aeloria. Once a beacon of knowledge and power, Aeloria "
    "was buried beneath the shifting sands of time, lost to the world for centuries. You are "
    "an intrepid explorer, known for your unparalleled curiosity and courage, who has stumbled "
    "upon an ancient map hinting at secrets that Aeloria holds a secret so profound that it has "
    "the potential to reshape the very fabric of reality. Your journey will take you through "
    "treacherous deserts, enchanted forests, and across perilous mountain ranges. Your Task: "
    "Character Background: Develop a detailed background for your character. Describe their "
    "motivations for seeking out Aeloria, their skills and weaknesses, and any personal "
    "connections to the ancient city or its legends. Are they driven by a quest for knowledge, "
    "a search for lost familt clue is hidden."
)

# Test markers
pytestmark = [
    pytest.mark.kvbm,
    pytest.mark.e2e,
    pytest.mark.gpu_1,
    pytest.mark.vllm,
    pytest.mark.pre_merge,
]


# Helper functions
def print_test_header(title: str) -> None:
    """Print a formatted test header."""
    print(f"\n{'=' * 70}")
    print(title)
    print("=" * 70)


def print_phase(phase_num: int, description: str) -> None:
    """Print a formatted phase header."""
    print(f"\n=== Phase {phase_num}: {description} ===")


def check_kvbm_metrics(phase_name: str, metrics_port: int) -> dict[str, int]:
    """Fetch and display KVBM metrics.

    Args:
        phase_name: Name of the test phase for logging
        metrics_port: Port number for the KVBM metrics endpoint

    Returns:
        Dictionary containing KVBM metrics with keys:
        - kvbm_offload_blocks_d2h: Blocks offloaded from GPU to CPU
        - kvbm_onboard_blocks_h2d: Blocks onboarded from CPU to GPU
    """
    print(f"\n--- Checking KVBM metrics after {phase_name} ---")
    metrics = fetch_kvbm_metrics(port=metrics_port)

    offload_d2h = metrics.get("kvbm_offload_blocks_d2h", 0)
    onboard_h2d = metrics.get("kvbm_onboard_blocks_h2d", 0)

    print(f"  kvbm_offload_blocks_d2h: {offload_d2h}")
    print(f"  kvbm_onboard_blocks_h2d: {onboard_h2d}")

    return {
        "kvbm_offload_blocks_d2h": offload_d2h,
        "kvbm_onboard_blocks_h2d": onboard_h2d,
    }


def reset_cache(base_url: str) -> None:
    """Reset the GPU prefix cache."""
    print("Resetting prefix cache...")
    try:
        response = requests.post(f"{base_url}/reset_prefix_cache", timeout=30)
        response.raise_for_status()
        print("Cache reset successful")
    except Exception as e:
        print(f"Warning: Cache reset failed: {e}")


# Model used for test_kvbm tests (smaller model for faster CI)
KVBM_TEST_MODEL = "Qwen/Qwen3-0.6B"


# Fixtures
@pytest.fixture(scope="function")
def tester(llm_server_kvbm):  # noqa: F811
    """Create tester bound to the KVBM-enabled server."""
    return DeterminismTester(
        base_url=llm_server_kvbm.base_url,
        model_id=KVBM_TEST_MODEL,
        server_type=llm_server_kvbm.server_type,
    )


# Tests
@pytest.mark.parametrize("llm_server_kvbm", [{"model": KVBM_TEST_MODEL}], indirect=True)
@pytest.mark.timeout(110)  # 3x measured time (36.31s), rounded up
def test_offload_and_onboard(tester, llm_server_kvbm):  # noqa: F811
    """
    Test offload → cache reset → onboard cycle with determinism verification.

    Validates that:
    - Initial request triggers offload to CPU cache
    - Cache reset clears GPU cache
    - Repeated request triggers onboard from CPU to GPU
    - Responses are deterministic across the cycle
    """
    print_test_header("OFFLOAD AND ONBOARD TEST")

    # Use subset of Aeldora story for offload/onboard test
    prompt = AELDORA_STORY[:400]  # Use first ~400 chars for smaller cache footprint

    # Phase 1: Initial request triggers offload
    print_phase(1, "Initial request (expect offload to CPU)")
    print(f"Sending request: {prompt[:80]}...")

    response_1 = tester.make_request(prompt, max_tokens=MAX_TOKENS)
    print(f"Response 1: {response_1}")

    metrics = check_kvbm_metrics("Phase 1", llm_server_kvbm.metrics_port)
    assert (
        metrics["kvbm_offload_blocks_d2h"] > 0
    ), "Phase 1: No blocks offloaded. KVBM may not be triggering offloads."
    assert (
        metrics["kvbm_onboard_blocks_h2d"] == 0
    ), f"Phase 1: Expected 0 onboarded blocks, got {metrics['kvbm_onboard_blocks_h2d']}"
    print(f"✓ Phase 1: {metrics['kvbm_offload_blocks_d2h']} blocks offloaded")

    # Phase 2: Reset GPU cache
    print_phase(2, "Clean up GPU cache")
    reset_cache(llm_server_kvbm.base_url)

    # Phase 3: Repeated request triggers onboard
    print_phase(3, "Re-send same request (expect onboard from CPU)")
    print(f"Sending same request: {prompt[:80]}...")

    response_2 = tester.make_request(prompt, max_tokens=MAX_TOKENS)
    print(f"Response 2: {response_2}")

    metrics = check_kvbm_metrics("Phase 3", llm_server_kvbm.metrics_port)
    assert (
        metrics["kvbm_onboard_blocks_h2d"] > 0
    ), "Phase 3: No blocks onboarded. Expected CPU→GPU transfer after cache reset."
    print(f"✓ Phase 3: {metrics['kvbm_onboard_blocks_h2d']} blocks onboarded from CPU")

    # Verify determinism
    print_test_header("DETERMINISM VERIFICATION")
    assert_deterministic(
        response_1,
        response_2,
        test_name="Offload/Onboard",
        label1="Initial response",
        label2="After cache reset",
    )

    print("\n=== TEST PASSED ===")


@pytest.mark.parametrize(
    "llm_server_kvbm",
    [{"cpu_blocks": 200, "gpu_blocks": 20, "model": KVBM_TEST_MODEL}],
    indirect=True,
)
@pytest.mark.timeout(190)  # 3x measured time (63.39s), rounded up
def test_gpu_cache_eviction(tester, llm_server_kvbm):  # noqa: F811
    """
    Test GPU cache eviction mechanics.

    Validates that:
    - Multiple requests fill GPU cache causing eviction
    - Evicted blocks can be retrieved from CPU cache via onboarding
    - Metrics correctly reflect offload and onboard operations
    """
    print_test_header("GPU CACHE EVICTION TEST")
    print(f"GPU blocks: {llm_server_kvbm.gpu_cache_blocks}")
    print(f"CPU blocks: {llm_server_kvbm.cpu_cache_blocks}")

    # Use full Aeldora story with variations for cache filling
    prompt_1 = AELDORA_STORY
    prompt_2 = (
        "Read the following entry from the ancient scrolls of Aeloria: " + AELDORA_STORY
    )

    # Phase 1: First request triggers offload
    print_phase(1, "Send first request")
    print(f"Prompt 1: {prompt_1[:80]}...")

    tester.make_request(prompt_1, max_tokens=MAX_TOKENS)

    metrics_p1 = check_kvbm_metrics("Phase 1", llm_server_kvbm.metrics_port)
    assert metrics_p1["kvbm_offload_blocks_d2h"] >= MIN_OFFLOAD_BLOCKS, (
        f"Phase 1: Expected >= {MIN_OFFLOAD_BLOCKS} blocks offloaded, "
        f"got {metrics_p1['kvbm_offload_blocks_d2h']}"
    )
    assert (
        metrics_p1["kvbm_onboard_blocks_h2d"] == 0
    ), f"Phase 1: Expected 0 onboarded, got {metrics_p1['kvbm_onboard_blocks_h2d']}"
    print(f"✓ Phase 1: {metrics_p1['kvbm_offload_blocks_d2h']} blocks offloaded")

    # Phase 2: Second request may evict first from GPU
    print_phase(2, "Send second request (may evict first from GPU)")
    print(f"Prompt 2: {prompt_2[:80]}...")

    tester.make_request(prompt_2, max_tokens=MAX_TOKENS)

    metrics_p2 = check_kvbm_metrics("Phase 2", llm_server_kvbm.metrics_port)
    assert (
        metrics_p2["kvbm_offload_blocks_d2h"] > metrics_p1["kvbm_offload_blocks_d2h"]
    ), (
        f"Phase 2: Expected additional offloads, got {metrics_p2['kvbm_offload_blocks_d2h']} "
        f"(was {metrics_p1['kvbm_offload_blocks_d2h']})"
    )
    additional_offloads = (
        metrics_p2["kvbm_offload_blocks_d2h"] - metrics_p1["kvbm_offload_blocks_d2h"]
    )
    print(f"✓ Phase 2: {additional_offloads} additional blocks offloaded")

    # Phase 3: Re-request first prompt (should onboard from CPU)
    print_phase(3, "Re-request first prompt (verify onboarding)")
    print(f"Re-sending Prompt 1: {prompt_1[:80]}...")

    tester.make_request(prompt_1, max_tokens=MAX_TOKENS)

    metrics_p3 = check_kvbm_metrics("Phase 3", llm_server_kvbm.metrics_port)
    assert (
        metrics_p3["kvbm_onboard_blocks_h2d"] > 0
    ), "Phase 3: No blocks onboarded. Expected CPU→GPU retrieval after eviction."
    print(f"✓ Phase 3: {metrics_p3['kvbm_onboard_blocks_h2d']} blocks onboarded")
    print("✓ Eviction mechanics verified: offload → eviction → onboard")

    print("\n=== TEST PASSED ===")


@pytest.mark.parametrize(
    "llm_server_kvbm",
    [{"cpu_blocks": 200, "gpu_blocks": 20, "model": KVBM_TEST_MODEL}],
    indirect=True,
)
@pytest.mark.timeout(107)  # 3x measured time (35.40s), rounded up
def test_onboarding_determinism(tester, llm_server_kvbm):  # noqa: F811
    """
    Test onboarding determinism under eviction scenario.

    Validates that:
    - Multiple onboarding cycles produce deterministic results
    - Responses are consistent when blocks are onboarded multiple times
    - Tests onboarded vs onboarded (not initial vs onboarded)
    """
    print_test_header("ONBOARDING DETERMINISM TEST")
    print(f"GPU blocks: {llm_server_kvbm.gpu_cache_blocks}")
    print(f"CPU blocks: {llm_server_kvbm.cpu_cache_blocks}")

    # Use full Aeldora story with variations
    prompt_1 = AELDORA_STORY
    prompt_2 = (
        "Read the following entry from the ancient scrolls of Aeloria: " + AELDORA_STORY
    )

    # Phase 1: First request triggers offload
    print_phase(1, "Send first request")
    print(f"Prompt 1: {prompt_1[:80]}...")
    tester.make_request(prompt_1, max_tokens=MAX_TOKENS)
    check_kvbm_metrics("Phase 1", llm_server_kvbm.metrics_port)

    # Phase 2: Second request (may evict first from GPU)
    print_phase(2, "Send second request (may evict first from GPU)")
    print(f"Prompt 2: {prompt_2[:80]}...")
    tester.make_request(prompt_2, max_tokens=MAX_TOKENS)
    check_kvbm_metrics("Phase 2", llm_server_kvbm.metrics_port)

    # Phase 3: Re-request prompt 1 (first onboard cycle)
    print_phase(3, "Re-request Prompt 1 (first onboard cycle)")
    print(f"Re-sending Prompt 1: {prompt_1[:80]}...")
    response_1_first_onboard = tester.make_request(prompt_1, max_tokens=MAX_TOKENS)
    print(f"Response 1 (first onboard): {response_1_first_onboard}")
    check_kvbm_metrics("Phase 3", llm_server_kvbm.metrics_port)

    # Phase 4: Re-request prompt 2 (first onboard cycle)
    print_phase(4, "Re-request Prompt 2 (first onboard cycle)")
    print(f"Re-sending Prompt 2: {prompt_2[:80]}...")
    response_2_first_onboard = tester.make_request(prompt_2, max_tokens=MAX_TOKENS)
    print(f"Response 2 (first onboard): {response_2_first_onboard}")
    check_kvbm_metrics("Phase 4", llm_server_kvbm.metrics_port)

    # Phase 5: Re-request prompt 1 (second onboard cycle)
    print_phase(5, "Re-request Prompt 1 (second onboard cycle)")
    print(f"Re-sending Prompt 1 (third time): {prompt_1[:80]}...")
    response_1_second_onboard = tester.make_request(prompt_1, max_tokens=MAX_TOKENS)
    print(f"Response 1 (second onboard): {response_1_second_onboard}")
    check_kvbm_metrics("Phase 5", llm_server_kvbm.metrics_port)

    # Phase 6: Re-request prompt 2 (second onboard cycle)
    print_phase(6, "Re-request Prompt 2 (second onboard cycle)")
    print(f"Re-sending Prompt 2 (third time): {prompt_2[:80]}...")
    response_2_second_onboard = tester.make_request(prompt_2, max_tokens=MAX_TOKENS)
    print(f"Response 2 (second onboard): {response_2_second_onboard}")
    check_kvbm_metrics("Phase 6", llm_server_kvbm.metrics_port)

    # Verify determinism between onboarded requests
    print_test_header("DETERMINISM VERIFICATION")
    print("\nComparing Prompt 1: First onboard vs Second onboard")
    assert_deterministic(
        response_1_first_onboard,
        response_1_second_onboard,
        test_name="Prompt 1 onboarding determinism",
        label1="First onboard (Phase 3)",
        label2="Second onboard (Phase 5)",
    )

    print("\nComparing Prompt 2: First onboard vs Second onboard")
    assert_deterministic(
        response_2_first_onboard,
        response_2_second_onboard,
        test_name="Prompt 2 onboarding determinism",
        label1="First onboard (Phase 4)",
        label2="Second onboard (Phase 6)",
    )

    print("\n=== TEST PASSED ===")


if __name__ == "__main__":
    pytest.main([__file__, "-v", "-s"])