| 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 |
|
|