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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 | |