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- 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
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