HaHafeng
fa72beea6c
Major Changes: - Implement Platform-Only architecture pattern (unified task management) - Add PostgresCacheAdapter for unified caching (platform_schema.app_cache) - Add PgBossQueue for job queue management (platform_schema.job) - Implement CheckpointService using job.data (generic for all modules) - Add intelligent threshold-based dual-mode processing (THRESHOLD=50) - Add task splitting mechanism (auto chunk size recommendation) - Refactor ASL screening service with smart mode selection - Refactor DC extraction service with smart mode selection - Register workers for ASL and DC modules Technical Highlights: - All task management data stored in platform_schema.job.data (JSONB) - Business tables remain clean (no task management fields) - CheckpointService is generic (shared by all modules) - Zero code duplication (DRY principle) - Follows 3-layer architecture principle - Zero additional cost (no Redis needed, save 8400 CNY/year) Code Statistics: - New code: ~1750 lines - Modified code: ~500 lines - Test code: ~1800 lines - Documentation: ~3000 lines Testing: - Unit tests: 8/8 passed - Integration tests: 2/2 passed - Architecture validation: passed - Linter errors: 0 Files: - Platform layer: PostgresCacheAdapter, PgBossQueue, CheckpointService, utils - ASL module: screeningService, screeningWorker - DC module: ExtractionController, extractionWorker - Tests: 11 test files - Docs: Updated 4 key documents Status: Phase 1-7 completed, Phase 8-9 pending
51 lines
1.1 KiB
Bash
51 lines
1.1 KiB
Bash
#!/bin/bash
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# Linux/Mac脚本 - 运行缺失值处理功能测试
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echo "========================================"
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echo "缺失值处理功能 - 自动化测试"
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echo "========================================"
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echo
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# 检查Python是否安装
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if ! command -v python3 &> /dev/null; then
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echo "[错误] Python未安装"
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exit 1
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fi
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echo "[1/3] 检查Python服务状态..."
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if ! curl -s http://localhost:8001/health > /dev/null 2>&1; then
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echo "[警告] Python服务未运行，请先启动服务："
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echo " cd extraction_service"
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echo " python main.py"
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echo
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exit 1
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fi
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echo "[OK] Python服务运行正常"
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echo
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echo "[2/3] 检查依赖..."
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python3 -c "import pandas, numpy, requests" 2> /dev/null
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if [ $? -ne 0 ]; then
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echo "[警告] 缺少依赖，正在安装..."
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pip3 install pandas numpy requests
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fi
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echo "[OK] 依赖检查完成"
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echo
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echo "[3/3] 运行测试..."
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echo
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python3 test_fillna_operations.py
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echo
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echo "========================================"
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echo "测试完成"
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echo "========================================"
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