#
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
# Copyright 2023 The vLLM team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# This file is a part of the vllm-ascend project.
# Adapted from vllm-project/vllm/blob/main/tests/conftest.py
#
import copy

from vllm.v1.outputs import EMPTY_MODEL_RUNNER_OUTPUT
from vllm.v1.request import RequestStatus

from tests.ut.kv_connector.utils import (assert_scheduler_empty,
                                         create_model_runner_output,
                                         create_request, create_scheduler,
                                         create_vllm_config)
from vllm_ascend.utils import vllm_version_is


def test_basic_lifecycle():
    """Test lifecycle of a remote prefill."""

    vllm_config = create_vllm_config()
    scheduler = create_scheduler(vllm_config)

    # 2 Full Blocks and 1 Half Block.
    BLOCK_SIZE = vllm_config.cache_config.block_size
    NUM_EXTERNAL_FULL_BLOCKS = 2
    NUM_TOKENS = int(BLOCK_SIZE * (NUM_EXTERNAL_FULL_BLOCKS + 0.5))
    START_FREE_BLOCK_QUEUE_SIZE = (
        scheduler.kv_cache_manager.block_pool.free_block_queue.num_free_blocks)

    request = create_request(request_id=1,
                             num_tokens=NUM_TOKENS,
                             do_remote_prefill=True)

    scheduler.add_request(request)
    request_id = request.request_id

    # STEP (1):
    # (1a): schedule()
    scheduler_output = scheduler.schedule()

    # Nothing running and empty scheduler output.
    assert len(scheduler.running) == 0
    assert len(scheduler_output.scheduled_new_reqs) == 0
    assert scheduler_output.scheduled_cached_reqs.num_reqs == 0
    assert len(scheduler_output.num_scheduled_tokens) == 0
    assert scheduler_output.total_num_scheduled_tokens == 0

    # Req waiting for KVs with no computed/scheduled toks ...
    assert len(scheduler.waiting) == 1
    assert request in scheduler.waiting
    assert (request.status == RequestStatus.WAITING_FOR_REMOTE_KVS)
    assert (request.num_computed_tokens == 0)

    # ... but should have (uncached) blocks allocated to it.
    block_pool = scheduler.kv_cache_manager.block_pool
    assert (block_pool.free_block_queue.num_free_blocks
            < START_FREE_BLOCK_QUEUE_SIZE)
    assert len(block_pool.cached_block_hash_to_block) == 0
    blocks = scheduler.kv_cache_manager.coordinator.single_type_managers[
        0].req_to_blocks[request_id]
    for block in blocks:
        assert block._block_hash is None

    # (1b): forward()
    model_runner_output = EMPTY_MODEL_RUNNER_OUTPUT

    # (1c): update_from_output()
    engine_core_outputs = scheduler.update_from_output(scheduler_output,
                                                       model_runner_output)
    assert not engine_core_outputs or not engine_core_outputs[0].outputs

    # STEP (2):
    # (2a): schedule(): nothing happens!
    scheduler_output = scheduler.schedule()
    assert len(scheduler.waiting) == 1
    assert len(scheduler.running) == 0

    # (2b): forward(): request finishes recv.
    model_runner_output = copy.deepcopy(EMPTY_MODEL_RUNNER_OUTPUT)
    if vllm_version_is("0.10.0"):
        model_runner_output.finished_recving = [request_id]
    else:
        from vllm.v1.worker.kv_connector_model_runner_mixin import \
            KVConnectorOutput  # type: ignore  # noqa
        model_runner_output.kv_connector_output = KVConnectorOutput(
            finished_recving=[request_id])

    # (2c): update_from_output():
    engine_core_outputs = scheduler.update_from_output(scheduler_output,
                                                       model_runner_output)
    assert len(scheduler.waiting) == 1
    assert (request_id in scheduler.finished_recving_kv_req_ids)

    # STEP (3):
    # (3a): schedule(): this should actually schedule.
    scheduler_output = scheduler.schedule()
    assert len(scheduler.running) == 1

    # Confirm the block are actually allocated.
    num_hashed_blocks = 0
    blocks = scheduler.kv_cache_manager.coordinator.single_type_managers[
        0].req_to_blocks[request_id]
    for block in blocks:
        assert block.ref_cnt == 1
        num_hashed_blocks += (1 if block._block_hash is not None else 0)
    assert num_hashed_blocks == NUM_EXTERNAL_FULL_BLOCKS

    # Confirm the rest of the prompt is scheduled in this step.
    scheduled_req = scheduler_output.scheduled_new_reqs[0]
    num_scheduled_tokens = scheduler_output.num_scheduled_tokens[request_id]
    num_computed_tokens = scheduled_req.num_computed_tokens
    total_prompt_tokens = len(scheduled_req.prompt_token_ids)
    assert (num_scheduled_tokens == total_prompt_tokens - num_computed_tokens)

    # (3b): execute_model()
    model_runner_output = create_model_runner_output([request])
    # (3c): update_from_output()
    scheduler.update_from_output(scheduler_output, model_runner_output)

    # Step (4): Hit EOS.
    scheduler_output = scheduler.schedule()
    model_runner_output = create_model_runner_output([request], use_eos=True)
    engine_core_outputs = scheduler.update_from_output(scheduler_output,
                                                       model_runner_output)
    scheduler.schedule()

    assert_scheduler_empty(scheduler)


def test_no_spurious_prefix_caching():
    """
    With P/D, blocks can be allocated but uncomputed for
    multiple engine steps. This test confirms that we do
    not accidentally have cache hits against uncomputed
    blocks.
    """

    vllm_config = create_vllm_config()
    scheduler = create_scheduler(vllm_config)

    # 2 and a half full external blocks.
    BLOCK_SIZE = vllm_config.cache_config.block_size
    NUM_EXTERNAL_FULL_BLOCKS = 2
    NUM_TOKENS = int(BLOCK_SIZE * (NUM_EXTERNAL_FULL_BLOCKS + 0.5))

    # Both of these requests have prompts like [1,1,1,1,1, ...]
    request_remote = create_request(
        request_id=1,
        num_tokens=NUM_TOKENS,
        do_remote_prefill=True,
        use_all_1s_for_prompt_tokens=True,
    )

    # Schedule the remote prefill request. This should not
    # cause any blocks to be cached.
    scheduler.add_request(request_remote)
    scheduler_output = scheduler.schedule()
    scheduler.update_from_output(scheduler_output, EMPTY_MODEL_RUNNER_OUTPUT)
    assert len(scheduler.waiting) == 1

    remote_blocks = scheduler.kv_cache_manager.coordinator.single_type_managers[
        0].req_to_blocks[request_remote.request_id]

    # Remote blocks should not be cached.
    for block in remote_blocks:
        assert block.ref_cnt == 1
        assert block._block_hash is None


def test_full_block_prompt():
    """Test that we handle a prompt that is the full block size."""

    vllm_config = create_vllm_config()
    scheduler = create_scheduler(vllm_config)

    # 2 Full Blocks and 1 Half Block.
    BLOCK_SIZE = vllm_config.cache_config.block_size
    NUM_EXTERNAL_FULL_BLOCKS = 2
    NUM_TOKENS = int(BLOCK_SIZE * NUM_EXTERNAL_FULL_BLOCKS)

    request = create_request(request_id=1,
                             num_tokens=NUM_TOKENS,
                             do_remote_prefill=True)

    scheduler.add_request(request)
    request_id = request.request_id

    # STEP (1): Initialize a recv.
    scheduler_output = scheduler.schedule()
    # All blocks should be allocated.
    num_blocks = len(scheduler.kv_cache_manager.coordinator.
                     single_type_managers[0].req_to_blocks[request_id])
    assert num_blocks == NUM_EXTERNAL_FULL_BLOCKS
    model_runner_output = EMPTY_MODEL_RUNNER_OUTPUT
    scheduler.update_from_output(scheduler_output, model_runner_output)

    # # STEP (2): Recv.
    scheduler_output = scheduler.schedule()
    model_runner_output = copy.deepcopy(EMPTY_MODEL_RUNNER_OUTPUT)
    if vllm_version_is("0.10.0"):
        model_runner_output.finished_recving = [request_id]
    else:
        from vllm.v1.worker.kv_connector_model_runner_mixin import \
            KVConnectorOutput  # type: ignore  # noqa
        model_runner_output.kv_connector_output = KVConnectorOutput(
            finished_recving=[request_id])
    scheduler.update_from_output(scheduler_output, model_runner_output)
    assert len(scheduler.waiting) == 1
    assert (request_id in scheduler.finished_recving_kv_req_ids)

    # # STEP (3): Run as usual.
    scheduler_output = scheduler.schedule()

    # We need to recompute the final token of the prompt to generate
    # the first new token, so we should not have a new block.
    num_blocks = len(scheduler.kv_cache_manager.coordinator.
                     single_type_managers[0].req_to_blocks[request_id])
    assert num_blocks == NUM_EXTERNAL_FULL_BLOCKS
    assert (scheduler_output.scheduled_new_reqs[0].num_computed_tokens ==
            NUM_TOKENS - 1)
    assert (scheduler_output.num_scheduled_tokens[request_id] == 1)

    model_runner_output = create_model_runner_output([request])
    scheduler.update_from_output(scheduler_output, model_runner_output)

    # # Step (4): Hit EOS.
    scheduler_output = scheduler.schedule()
    model_runner_output = create_model_runner_output([request], use_eos=True)
    scheduler.schedule()

    assert_scheduler_empty(scheduler)