import os import pytest from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult from core.model_runtime.errors.validate import CredentialsValidateFailedError from core.model_runtime.model_providers.openai.text_embedding.text_embedding import OpenAITextEmbeddingModel from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock @pytest.mark.parametrize('setup_openai_mock', [['text_embedding']], indirect=True) def test_validate_credentials(setup_openai_mock): model = OpenAITextEmbeddingModel() with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( model='text-embedding-ada-002', credentials={ 'openai_api_key': 'invalid_key' } ) model.validate_credentials( model='text-embedding-ada-002', credentials={ 'openai_api_key': os.environ.get('OPENAI_API_KEY') } ) @pytest.mark.parametrize('setup_openai_mock', [['text_embedding']], indirect=True) def test_invoke_model(setup_openai_mock): model = OpenAITextEmbeddingModel() result = model.invoke( model='text-embedding-ada-002', credentials={ 'openai_api_key': os.environ.get('OPENAI_API_KEY'), 'openai_api_base': 'https://api.openai.com' }, texts=[ "hello", "world", " ".join(["long_text"] * 100), " ".join(["another_long_text"] * 100) ], user="abc-123" ) assert isinstance(result, TextEmbeddingResult) assert len(result.embeddings) == 4 assert result.usage.total_tokens == 2 def test_get_num_tokens(): model = OpenAITextEmbeddingModel() num_tokens = model.get_num_tokens( model='text-embedding-ada-002', credentials={ 'openai_api_key': os.environ.get('OPENAI_API_KEY'), 'openai_api_base': 'https://api.openai.com' }, texts=[ "hello", "world" ] ) assert num_tokens == 2