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AIclinicalresearch/tests/run_tests.sh
HaHafeng 40c2f8e148 feat(rag): Complete RAG engine implementation with pgvector
Major Features:
- Created ekb_schema (13th schema) with 3 tables: KB/Document/Chunk
- Implemented EmbeddingService (text-embedding-v4, 1024-dim vectors)
- Implemented ChunkService (smart Markdown chunking)
- Implemented VectorSearchService (multi-query + hybrid search)
- Implemented RerankService (qwen3-rerank)
- Integrated DeepSeek V3 QueryRewriter for cross-language search
- Python service: Added pymupdf4llm for PDF-to-Markdown conversion
- PKB: Dual-mode adapter (pgvector/dify/hybrid)

Architecture:
- Brain-Hand Model: Business layer (DeepSeek) + Engine layer (pgvector)
- Cross-language support: Chinese query matches English documents
- Small Embedding (1024) + Strong Reranker strategy

Performance:
- End-to-end latency: 2.5s
- Cost per query: 0.0025 RMB
- Accuracy improvement: +20.5% (cross-language)

Tests:
- test-embedding-service.ts: Vector embedding verified
- test-rag-e2e.ts: Full pipeline tested
- test-rerank.ts: Rerank quality validated
- test-query-rewrite.ts: Cross-language search verified
- test-pdf-ingest.ts: Real PDF document tested (Dongen 2003.pdf)

Documentation:
- Added 05-RAG-Engine-User-Guide.md
- Added 02-Document-Processing-User-Guide.md
- Updated system status documentation

Status: Production ready
2026-01-21 20:24:29 +08:00

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#!/bin/bash
# Linux/Mac脚本 - 运行缺失值处理功能测试
echo "========================================"
echo "缺失值处理功能 - 自动化测试"
echo "========================================"
echo
# 检查Python是否安装
if ! command -v python3 &> /dev/null; then
echo "[错误] Python未安装"
exit 1
fi
echo "[1/3] 检查Python服务状态..."
if ! curl -s http://localhost:8001/health > /dev/null 2>&1; then
echo "[警告] Python服务未运行请先启动服务"
echo " cd extraction_service"
echo " python main.py"
echo
exit 1
fi
echo "[OK] Python服务运行正常"
echo
echo "[2/3] 检查依赖..."
python3 -c "import pandas, numpy, requests" 2> /dev/null
if [ $? -ne 0 ]; then
echo "[警告] 缺少依赖,正在安装..."
pip3 install pandas numpy requests
fi
echo "[OK] 依赖检查完成"
echo
echo "[3/3] 运行测试..."
echo
python3 test_fillna_operations.py
echo
echo "========================================"
echo "测试完成"
echo "========================================"