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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 | |