Completed features: - Created Dify dataset (Dify_test0102) with 2 processed documents - Linked test0102 project with Dify dataset ID - Extended intent detection to recognize query_protocol intent - Implemented queryDifyKnowledge method (semantic search Top 5) - Integrated hybrid retrieval (REDCap data + Dify documents) - Fixed AI hallucination bugs (intent detection + API field path) - Developed debugging scripts - Completed end-to-end testing (5 scenarios passed) - Generated comprehensive documentation (600+ lines) - Updated development plans and module status Technical highlights: - Single project single knowledge base architecture - Smart routing based on user intent - Prevent AI hallucination by injecting real data/documents - Session memory for multi-turn conversations - Reused LLMFactory for DeepSeek-V3 integration Bug fixes: - Fixed intent detection missing keywords - Fixed Dify API response field path error Testing: All scenarios verified in WeChat production environment Status: Fully tested and deployed
59 lines
791 B
SQL
59 lines
791 B
SQL
-- 为 DcToolCSession 添加 dataStats 字段
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-- 用于缓存数据统计信息,支持数据探索问答功能
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--
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-- 执行方法:psql -d airesearch_v2 -f add_data_stats_to_tool_c_session.sql
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\c airesearch_v2
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-- 添加字段
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ALTER TABLE dc_schema.dc_tool_c_sessions
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ADD COLUMN IF NOT EXISTS data_stats JSONB NULL;
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-- 添加注释
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COMMENT ON COLUMN dc_schema.dc_tool_c_sessions.data_stats IS '数据统计信息缓存(用于数据探索问答):{totalRows, columnStats}';
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-- 验证
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SELECT column_name, data_type, is_nullable
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FROM information_schema.columns
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WHERE table_schema = 'dc_schema'
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AND table_name = 'dc_tool_c_sessions'
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AND column_name = 'data_stats';
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\echo '✅ 字段 data_stats 已成功添加到 dc_tool_c_sessions 表'
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