- Introduce new fields for knowledge retrieval configuration in AssistantConfig and Assistant models, including mode, top_n, and score_threshold. - Implement KnowledgeRetrievalConfig schema with validation for top_n. - Update backend services and routes to handle knowledge retrieval settings. - Enhance frontend components to support knowledge retrieval configuration, including a new dialog for advanced settings. - Add tests for knowledge retrieval configuration validation and description generation.
39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
import unittest
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from models import AssistantConfig
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from services.pipecat.pipeline import _knowledge_tool_description
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class KnowledgeToolDescriptionTest(unittest.TestCase):
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def test_includes_bound_knowledge_scope(self):
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description = _knowledge_tool_description(
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AssistantConfig(
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knowledge_base_name="产品服务知识库",
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knowledge_base_description="产品价格、售后政策和退换货条件",
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)
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)
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self.assertIn("知识库名称:产品服务知识库", description)
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self.assertIn("资料适用范围:产品价格、售后政策和退换货条件", description)
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self.assertIn("与该范围无关的问题不要调用", description)
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def test_falls_back_when_metadata_is_empty(self):
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description = _knowledge_tool_description(AssistantConfig())
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self.assertEqual(
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description,
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"在当前助手绑定的知识库中检索与问题最相关的资料片段。",
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)
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def test_compacts_and_limits_description(self):
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description = _knowledge_tool_description(
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AssistantConfig(knowledge_base_description=("范围\n 内容 " * 200))
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)
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self.assertNotIn("\n ", description)
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self.assertLess(len(description), 1000)
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if __name__ == "__main__":
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unittest.main()
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