| 12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576 | import osimport pytestfrom core.model_runtime.entities.rerank_entities import RerankDocument, RerankResultfrom core.model_runtime.entities.text_embedding_entities import TextEmbeddingResultfrom core.model_runtime.errors.validate import CredentialsValidateFailedErrorfrom core.model_runtime.model_providers.huggingface_tei.rerank.rerank import (    HuggingfaceTeiRerankModel,)from core.model_runtime.model_providers.huggingface_tei.text_embedding.text_embedding import TeiHelperfrom tests.integration_tests.model_runtime.__mock.huggingface_tei import MockTEIClassMOCK = os.getenv('MOCK_SWITCH', 'false').lower() == 'true'@pytest.fixturedef setup_tei_mock(request, monkeypatch: pytest.MonkeyPatch):    if MOCK:        monkeypatch.setattr(TeiHelper, 'get_tei_extra_parameter', MockTEIClass.get_tei_extra_parameter)        monkeypatch.setattr(TeiHelper, 'invoke_tokenize', MockTEIClass.invoke_tokenize)        monkeypatch.setattr(TeiHelper, 'invoke_embeddings', MockTEIClass.invoke_embeddings)        monkeypatch.setattr(TeiHelper, 'invoke_rerank', MockTEIClass.invoke_rerank)    yield    if MOCK:        monkeypatch.undo()@pytest.mark.parametrize('setup_tei_mock', [['none']], indirect=True)def test_validate_credentials(setup_tei_mock):    model = HuggingfaceTeiRerankModel()    # model name is only used in mock    model_name = 'reranker'    if MOCK:        # TEI Provider will check model type by API endpoint, at real server, the model type is correct.        # So we dont need to check model type here. Only check in mock        with pytest.raises(CredentialsValidateFailedError):            model.validate_credentials(                model='embedding',                credentials={                    'server_url': os.environ.get('TEI_RERANK_SERVER_URL'),                }            )    model.validate_credentials(        model=model_name,        credentials={            'server_url': os.environ.get('TEI_RERANK_SERVER_URL'),        }    )@pytest.mark.parametrize('setup_tei_mock', [['none']], indirect=True)def test_invoke_model(setup_tei_mock):    model = HuggingfaceTeiRerankModel()    # model name is only used in mock    model_name = 'reranker'    result = model.invoke(        model=model_name,        credentials={            'server_url': os.environ.get('TEI_RERANK_SERVER_URL'),        },        query="Who is Kasumi?",        docs=[            "Kasumi is a girl's name of Japanese origin meaning \"mist\".",            "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music ",            "and she leads a team named PopiParty."        ],        score_threshold=0.8    )    assert isinstance(result, RerankResult)    assert len(result.docs) == 1    assert result.docs[0].index == 0    assert result.docs[0].score >= 0.8
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