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			58 lines
		
	
	
		
			1.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			58 lines
		
	
	
		
			1.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| import os
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| 
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| import pytest
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| 
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| from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
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| from core.model_runtime.errors.validate import CredentialsValidateFailedError
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| from core.model_runtime.model_providers.openllm.text_embedding.text_embedding import OpenLLMTextEmbeddingModel
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| 
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| 
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| def test_validate_credentials():
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|     model = OpenLLMTextEmbeddingModel()
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| 
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|     with pytest.raises(CredentialsValidateFailedError):
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|         model.validate_credentials(
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|             model="NOT IMPORTANT",
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|             credentials={
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|                 "server_url": "ww" + os.environ.get("OPENLLM_SERVER_URL"),
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|             },
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|         )
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| 
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|     model.validate_credentials(
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|         model="NOT IMPORTANT",
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|         credentials={
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|             "server_url": os.environ.get("OPENLLM_SERVER_URL"),
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|         },
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|     )
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| 
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| 
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| def test_invoke_model():
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|     model = OpenLLMTextEmbeddingModel()
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| 
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|     result = model.invoke(
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|         model="NOT IMPORTANT",
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|         credentials={
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|             "server_url": os.environ.get("OPENLLM_SERVER_URL"),
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|         },
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|         texts=["hello", "world"],
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|         user="abc-123",
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|     )
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| 
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|     assert isinstance(result, TextEmbeddingResult)
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|     assert len(result.embeddings) == 2
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|     assert result.usage.total_tokens > 0
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| 
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| 
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| def test_get_num_tokens():
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|     model = OpenLLMTextEmbeddingModel()
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| 
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|     num_tokens = model.get_num_tokens(
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|         model="NOT IMPORTANT",
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|         credentials={
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|             "server_url": os.environ.get("OPENLLM_SERVER_URL"),
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|         },
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|         texts=["hello", "world"],
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|     )
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| 
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|     assert num_tokens == 2
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