From 85c595367ee4fd5c00f0a368688181287060486a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=BC=A0=E5=AE=97=E5=B9=B3?= <zhangzp@qq.com>
Date: Thu, 11 Jun 2026 21:21:25 +0800
Subject: [PATCH] =?UTF-8?q?feat:=20add=20run=5Fcompare.sh=20orchestration?=
 =?UTF-8?q?=20script=20for=20dataset=C3=97algo=20comparison?=
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---
 scripts/run_compare.sh | 88 ++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 88 insertions(+)
 create mode 100755 scripts/run_compare.sh

diff --git a/scripts/run_compare.sh b/scripts/run_compare.sh
new file mode 100755
index 0000000..7874cf0
--- /dev/null
+++ b/scripts/run_compare.sh
@@ -0,0 +1,88 @@
+#!/usr/bin/env bash
+# run_compare.sh — 对所有内置数据集 × 6 算法跑对比可视化
+#
+# 用法:
+#   bash scripts/run_compare.sh [数据集目录] [输出目录]
+#
+# 默认:
+#   数据集目录: ../../datasets/builtin
+#   输出目录:   render_compare
+#
+# 管道: inject → detect-batch → render-algo → montage
+
+set -euo pipefail
+
+BUILTIN_DIR="${1:-../../datasets/builtin}"
+OUTPUT="${2:-render_compare}"
+ALGOS="ksigma iqr grubbs shesd lof sample_ad_model"
+URL="${TS_ANA_TD_URL:-ws://root:taosdata@localhost:6041}"
+
+# 多列数据集映射: dataset_name → value_col
+# 未在此映射中的数据集默认使用 "value" 列
+declare -A VALUE_COLS=(
+    ["ecg_002"]="ECG1"
+    ["sensor_007"]="ankle_horiz_fwd"
+)
+
+mkdir -p "$OUTPUT/det" "$OUTPUT/algo"
+
+total=0
+ok=0
+skip=0
+
+for dataset_dir in "$BUILTIN_DIR"/*/; do
+    name=$(basename "$dataset_dir")
+    csv="$dataset_dir/data.csv"
+    [[ -f "$csv" ]] || { echo "SKIP $name: no data.csv"; ((skip++)); ((total++)); continue; }
+
+    # 确定 value 列
+    value_col="${VALUE_COLS[$name]:-value}"
+
+    echo "=== $name (value_col=$value_col) ==="
+
+    # 1. 注入
+    echo "  [1/3] inject..."
+    uv run python -m ts_anomaly_td inject \
+        --csv "$csv" --stable "$name" --value-col "$value_col" --url "$URL" \
+        || { echo "  inject FAILED, skipping $name"; ((total++)); continue; }
+
+    # 2. 逐算法检测 + 渲染
+    panels=()
+    for algo in $ALGOS; do
+        det_json="$OUTPUT/det/${name}_${algo}.json"
+        algo_png="$OUTPUT/algo/${name}_${algo}.png"
+
+        echo "  [2/3] detect $algo..."
+        uv run python -m ts_anomaly_td detect-batch \
+            --stable "$name" --algo "$algo" --json --url "$URL" \
+            > "$det_json" 2>/dev/null || true
+
+        echo "  [2/3] render $algo..."
+        uv run python -m ts_anomaly_td render-algo \
+            --gt-csv "$csv" --det-json "$det_json" --algo "$algo" \
+            --output "$algo_png" --value-col "$value_col" \
+            --title "$name / $algo" \
+            || { echo "  render $algo FAILED"; continue; }
+
+        panels+=("$algo_png")
+    done
+
+    # 3. 拼图
+    if [[ ${#panels[@]} -gt 0 ]]; then
+        echo "  [3/3] montage (${#panels[@]} panels)..."
+        uv run python -m ts_anomaly_td montage \
+            --inputs "${panels[@]}" \
+            --output "$OUTPUT/${name}_compare.png" \
+            --cols 2 \
+            --title "$name — 算法对比"
+        echo "  → $OUTPUT/${name}_compare.png"
+        ((ok++))
+    else
+        echo "  no panels, skip montage for $name"
+    fi
+    ((total++))
+done
+
+echo ""
+echo "=== 完成: $ok/$total 成功, $skip 跳过 ==="
+ls -la "$OUTPUT"/*_compare.png 2>/dev/null || echo "(无拼图输出)"