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import os |
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import pytest |
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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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def test_validate_credentials(): |
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model = OpenLLMTextEmbeddingModel() |
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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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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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def test_invoke_model(): |
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model = OpenLLMTextEmbeddingModel() |
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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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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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def test_get_num_tokens(): |
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model = OpenLLMTextEmbeddingModel() |
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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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assert num_tokens == 2 |
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