test_embedding.py 1.5 KB

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  1. import os
  2. import pytest
  3. from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
  4. from core.model_runtime.errors.validate import CredentialsValidateFailedError
  5. from core.model_runtime.model_providers.openllm.text_embedding.text_embedding import OpenLLMTextEmbeddingModel
  6. def test_validate_credentials():
  7. model = OpenLLMTextEmbeddingModel()
  8. with pytest.raises(CredentialsValidateFailedError):
  9. model.validate_credentials(
  10. model='NOT IMPORTANT',
  11. credentials={
  12. 'server_url': 'ww' + os.environ.get('OPENLLM_SERVER_URL'),
  13. }
  14. )
  15. model.validate_credentials(
  16. model='NOT IMPORTANT',
  17. credentials={
  18. 'server_url': os.environ.get('OPENLLM_SERVER_URL'),
  19. }
  20. )
  21. def test_invoke_model():
  22. model = OpenLLMTextEmbeddingModel()
  23. result = model.invoke(
  24. model='NOT IMPORTANT',
  25. credentials={
  26. 'server_url': os.environ.get('OPENLLM_SERVER_URL'),
  27. },
  28. texts=[
  29. "hello",
  30. "world"
  31. ],
  32. user="abc-123"
  33. )
  34. assert isinstance(result, TextEmbeddingResult)
  35. assert len(result.embeddings) == 2
  36. assert result.usage.total_tokens > 0
  37. def test_get_num_tokens():
  38. model = OpenLLMTextEmbeddingModel()
  39. num_tokens = model.get_num_tokens(
  40. model='NOT IMPORTANT',
  41. credentials={
  42. 'server_url': os.environ.get('OPENLLM_SERVER_URL'),
  43. },
  44. texts=[
  45. "hello",
  46. "world"
  47. ]
  48. )
  49. assert num_tokens == 2