- 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.openllm.text_embedding.text_embedding import OpenLLMTextEmbeddingModel
-
-
- def test_validate_credentials():
- model = OpenLLMTextEmbeddingModel()
-
- with pytest.raises(CredentialsValidateFailedError):
- model.validate_credentials(
- model='NOT IMPORTANT',
- credentials={
- 'server_url': 'ww' + os.environ.get('OPENLLM_SERVER_URL'),
- }
- )
-
- model.validate_credentials(
- model='NOT IMPORTANT',
- credentials={
- 'server_url': os.environ.get('OPENLLM_SERVER_URL'),
- }
- )
-
-
- def test_invoke_model():
- model = OpenLLMTextEmbeddingModel()
-
- result = model.invoke(
- model='NOT IMPORTANT',
- credentials={
- 'server_url': os.environ.get('OPENLLM_SERVER_URL'),
- },
- texts=[
- "hello",
- "world"
- ],
- user="abc-123"
- )
-
- assert isinstance(result, TextEmbeddingResult)
- assert len(result.embeddings) == 2
- assert result.usage.total_tokens > 0
-
- def test_get_num_tokens():
- model = OpenLLMTextEmbeddingModel()
-
- num_tokens = model.get_num_tokens(
- model='NOT IMPORTANT',
- credentials={
- 'server_url': os.environ.get('OPENLLM_SERVER_URL'),
- },
- texts=[
- "hello",
- "world"
- ]
- )
-
- assert num_tokens == 2
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