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- import os
- import pytest
- from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
- from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
- from core.model_runtime.errors.validate import CredentialsValidateFailedError
- from core.model_runtime.model_providers.huggingface_tei.rerank.rerank import (
- HuggingfaceTeiRerankModel,
- )
- from core.model_runtime.model_providers.huggingface_tei.text_embedding.text_embedding import TeiHelper
- from tests.integration_tests.model_runtime.__mock.huggingface_tei import MockTEIClass
- MOCK = os.getenv('MOCK_SWITCH', 'false').lower() == 'true'
- @pytest.fixture
- def 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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