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50 lines
1.4 KiB
Python
50 lines
1.4 KiB
Python
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.gpustack.text_embedding.text_embedding import (
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GPUStackTextEmbeddingModel,
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)
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def test_validate_credentials():
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model = GPUStackTextEmbeddingModel()
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with pytest.raises(CredentialsValidateFailedError):
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model.validate_credentials(
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model="bge-m3",
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credentials={
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"endpoint_url": "invalid_url",
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"api_key": "invalid_api_key",
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},
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)
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model.validate_credentials(
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model="bge-m3",
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credentials={
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"endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
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"api_key": os.environ.get("GPUSTACK_API_KEY"),
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},
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)
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def test_invoke_model():
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model = GPUStackTextEmbeddingModel()
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result = model.invoke(
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model="bge-m3",
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credentials={
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"endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
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"api_key": os.environ.get("GPUSTACK_API_KEY"),
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"context_size": 8192,
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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 == 7
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