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import torch

from vllm.engine.arg_utils import EngineArgs
from vllm.utils import get_distributed_init_method, get_ip, get_open_port
from vllm.worker.worker import Worker


def test_swap() -> None:
    # Configure the engine.
    engine_args = EngineArgs(model="facebook/opt-125m",
                             dtype="half",
                             load_format="dummy")
    engine_config = engine_args.create_engine_config()
    engine_config.cache_config.num_gpu_blocks = 1000
    engine_config.cache_config.num_cpu_blocks = 1000

    # Create the worker.
    distributed_init_method = get_distributed_init_method(
        get_ip(), get_open_port())
    worker = Worker(
        model_config=engine_config.model_config,
        parallel_config=engine_config.parallel_config,
        scheduler_config=engine_config.scheduler_config,
        device_config=engine_config.device_config,
        cache_config=engine_config.cache_config,
        load_config=engine_config.load_config,
        local_rank=0,
        rank=0,
        distributed_init_method=distributed_init_method,
        is_driver_worker=True,
    )

    # Initialize the worker.
    worker.init_device()
    worker.load_model()
    worker.initialize_cache(
        num_gpu_blocks=engine_config.cache_config.num_gpu_blocks,
        num_cpu_blocks=engine_config.cache_config.num_cpu_blocks)

    # Randomly initialize the cache.
    gpu_cache = worker.cache_engine.gpu_cache
    cpu_cache = worker.cache_engine.cpu_cache
    num_layers = len(gpu_cache)
    for i in range(num_layers):
        gpu_key_cache, gpu_value_cache = gpu_cache[i]
        gpu_key_cache.random_()
        gpu_value_cache.random_()
        cpu_key_cache, cpu_value_cache = cpu_cache[i]
        cpu_key_cache.random_()
        cpu_value_cache.random_()

    allclose = lambda a, b: torch.allclose(
        a.cuda(), b.cuda(), rtol=0.0, atol=0.0)

    # Test swap out.
    blocks_to_swap_out = {3: 72, 56: 35, 84: 34}
    worker.execute_model(seq_group_metadata_list=[],
                         blocks_to_swap_in={},
                         blocks_to_swap_out=blocks_to_swap_out,
                         blocks_to_copy={})
    for i in range(num_layers):
        gpu_key_cache, gpu_value_cache = gpu_cache[i]
        cpu_key_cache, cpu_value_cache = cpu_cache[i]
        for src, dst in blocks_to_swap_out.items():
            assert allclose(gpu_key_cache[src], cpu_key_cache[dst])
            assert allclose(gpu_value_cache[src], cpu_value_cache[dst])

    # Test swap in.
    blocks_to_swap_in = {19: 45, 67: 23, 12: 78, 40: 99, 1: 71}
    worker.execute_model(seq_group_metadata_list=[],
                         blocks_to_swap_in=blocks_to_swap_in,
                         blocks_to_swap_out={},
                         blocks_to_copy={})
    for i in range(num_layers):
        gpu_key_cache, gpu_value_cache = gpu_cache[i]
        cpu_key_cache, cpu_value_cache = cpu_cache[i]
        for src, dst in blocks_to_swap_in.items():
            assert allclose(gpu_key_cache[dst], cpu_key_cache[src])
            assert allclose(gpu_value_cache[dst], cpu_value_cache[src])