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97 lines
3.3 KiB
Python
97 lines
3.3 KiB
Python
import os
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import pytest
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from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
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from core.model_runtime.errors.validate import CredentialsValidateFailedError
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from core.model_runtime.model_providers.localai.rerank.rerank import LocalaiRerankModel
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def test_validate_credentials_for_chat_model():
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model = LocalaiRerankModel()
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with pytest.raises(CredentialsValidateFailedError):
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model.validate_credentials(
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model="bge-reranker-v2-m3",
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credentials={
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"server_url": "hahahaha",
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"completion_type": "completion",
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},
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)
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model.validate_credentials(
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model="bge-reranker-base",
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credentials={
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"server_url": os.environ.get("LOCALAI_SERVER_URL"),
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"completion_type": "completion",
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},
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)
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def test_invoke_rerank_model():
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model = LocalaiRerankModel()
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response = model.invoke(
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model="bge-reranker-base",
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credentials={"server_url": os.environ.get("LOCALAI_SERVER_URL")},
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query="Organic skincare products for sensitive skin",
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docs=[
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"Eco-friendly kitchenware for modern homes",
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"Biodegradable cleaning supplies for eco-conscious consumers",
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"Organic cotton baby clothes for sensitive skin",
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"Natural organic skincare range for sensitive skin",
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"Tech gadgets for smart homes: 2024 edition",
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"Sustainable gardening tools and compost solutions",
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"Sensitive skin-friendly facial cleansers and toners",
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"Organic food wraps and storage solutions",
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"Yoga mats made from recycled materials",
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],
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top_n=3,
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score_threshold=0.75,
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user="abc-123",
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)
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assert isinstance(response, RerankResult)
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assert len(response.docs) == 3
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def test__invoke():
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model = LocalaiRerankModel()
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# Test case 1: Empty docs
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result = model._invoke(
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model="bge-reranker-base",
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credentials={"server_url": "https://example.com", "api_key": "1234567890"},
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query="Organic skincare products for sensitive skin",
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docs=[],
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top_n=3,
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score_threshold=0.75,
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user="abc-123",
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)
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assert isinstance(result, RerankResult)
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assert len(result.docs) == 0
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# Test case 2: Valid invocation
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result = model._invoke(
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model="bge-reranker-base",
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credentials={"server_url": "https://example.com", "api_key": "1234567890"},
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query="Organic skincare products for sensitive skin",
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docs=[
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"Eco-friendly kitchenware for modern homes",
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"Biodegradable cleaning supplies for eco-conscious consumers",
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"Organic cotton baby clothes for sensitive skin",
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"Natural organic skincare range for sensitive skin",
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"Tech gadgets for smart homes: 2024 edition",
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"Sustainable gardening tools and compost solutions",
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"Sensitive skin-friendly facial cleansers and toners",
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"Organic food wraps and storage solutions",
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"Yoga mats made from recycled materials",
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],
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top_n=3,
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score_threshold=0.75,
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user="abc-123",
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)
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assert isinstance(result, RerankResult)
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assert len(result.docs) == 3
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assert all(isinstance(doc, RerankDocument) for doc in result.docs)
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