# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import os

import pytest

# yapf conflicts with isort for this block
# yapf: disable
from tests.models.language.pooling.mteb_utils import (
    MTEB_RERANK_LANGS, MTEB_RERANK_TASKS, MTEB_RERANK_TOL,
    RerankClientMtebEncoder, ScoreClientMtebEncoder,
    mteb_test_rerank_models_hf, run_mteb_rerank)
# yapf: enable
from tests.utils import RemoteOpenAIServer

os.environ["VLLM_LOGGING_LEVEL"] = "WARNING"

MODEL_NAME = "cross-encoder/ms-marco-MiniLM-L-6-v2"


@pytest.fixture(scope="module")
def server():
    args = [
        "--task", "score", "--enforce-eager", "--disable-uvicorn-access-log"
    ]

    with RemoteOpenAIServer(MODEL_NAME, args) as remote_server:
        yield remote_server


@pytest.fixture(scope="module")
def st_main_score(hf_runner):
    # The main score related to the version of the dependency.
    # So we need to recalculate every time.
    main_score, st_dtype = mteb_test_rerank_models_hf(hf_runner, MODEL_NAME)
    return main_score


def test_mteb_score(server, st_main_score):
    url = server.url_for("score")
    encoder = ScoreClientMtebEncoder(MODEL_NAME, url)
    vllm_main_score = run_mteb_rerank(encoder, MTEB_RERANK_TASKS,
                                      MTEB_RERANK_LANGS)

    print("VLLM main score: ", vllm_main_score)
    print("SentenceTransformer main score: ", st_main_score)
    print("Difference: ", st_main_score - vllm_main_score)

    assert st_main_score == pytest.approx(vllm_main_score, abs=MTEB_RERANK_TOL)


def test_mteb_rerank(server, st_main_score):
    url = server.url_for("rerank")
    encoder = RerankClientMtebEncoder(MODEL_NAME, url)
    vllm_main_score = run_mteb_rerank(encoder, MTEB_RERANK_TASKS,
                                      MTEB_RERANK_LANGS)

    print("VLLM main score: ", vllm_main_score)
    print("SentenceTransformer main score: ", st_main_score)
    print("Difference: ", st_main_score - vllm_main_score)

    assert st_main_score == pytest.approx(vllm_main_score, abs=MTEB_RERANK_TOL)
