HaHafeng
74cf346453
Major features: 1. Missing value imputation (6 simple methods + MICE): - Mean/Median/Mode/Constant imputation - Forward fill (ffill) and Backward fill (bfill) for time series - MICE multivariate imputation (in progress, shape issue to fix) 2. Auto precision detection: - Automatically match decimal places of original data - Prevent false precision (e.g. 13.57 instead of 13.566716417910449) 3. Categorical variable detection: - Auto-detect and skip categorical columns in MICE - Show warnings for unsuitable columns - Suggest mode imputation for categorical data 4. UI improvements: - Rename button: "Delete Missing" to "Missing Value Handling" - Remove standalone "Dedup" and "MICE" buttons - 3-tab dialog: Delete / Fill / Advanced Fill - Display column statistics and recommended methods - Extended warning messages (8 seconds for skipped columns) 5. Bug fixes: - Fix sessionService.updateSessionData -> saveProcessedData - Fix OperationResult interface (add message and stats) - Fix Toolbar button labels and removal Modified files: Python: operations/fillna.py (new, 556 lines), main.py (3 new endpoints) Backend: QuickActionService.ts, QuickActionController.ts, routes/index.ts Frontend: MissingValueDialog.tsx (new, 437 lines), Toolbar.tsx, index.tsx Tests: test_fillna_operations.py (774 lines), test scripts and docs Docs: 5 documentation files updated Known issues: - MICE imputation has DataFrame shape mismatch issue (under debugging) - Workaround: Use 6 simple imputation methods first Status: Development complete, MICE debugging in progress Lines added: ~2000 lines across 3 tiers
46 lines
1.0 KiB
Bash
46 lines
1.0 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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