| 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 | |