feat: render-column (GT top + algos stacked), fix hour60 parsing, vivid anomaly markers

ts_anomaly_td/cli.py

@@ -225,6 +225,15 @@ def build_parser() -> argparse.ArgumentParser:
     p_mt.add_argument("--cols", type=int, default=2, help="列数 (default: 2)")
     p_mt.add_argument("--title", default="", help="总标题")
 
+    # render-column
+    p_rc = sub.add_parser("render-column", help="GT 顶部 + 各算法纵向对比")
+    p_rc.add_argument("--gt-csv", required=True, help="GT CSV 文件路径")
+    p_rc.add_argument("--stable", required=True, help="supertable 名称")
+    p_rc.add_argument("--db", default="ts_anomaly", help="数据库名")
+    p_rc.add_argument("--value-col", default="value", help="数值列名 (default: value)")
+    p_rc.add_argument("--output", required=True, help="PNG 输出路径")
+    p_rc.add_argument("--url", default="ws://root:taosdata@localhost:6041", help="TDengine WebSocket URL")
+
     return parser
 
 
@@ -258,6 +267,27 @@ def cmd_montage(args):
     logger.info("montage complete: %s", args.output)
 
 
+def cmd_render_column(args):
+    """render-column 子命令：GT 顶部 + 各算法纵向对比。"""
+    logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
+
+    from ts_anomaly_td.io_csv import read_csv
+    from ts_anomaly_td.visualize import render_column
+
+    ts, vals, labels = read_csv(args.gt_csv, value_col=args.value_col)
+
+    conn = TDConnection(args.url)
+    try:
+        db = args.db or "ts_anomaly"
+        conn.execute_no_result(f"USE {db}")
+        results = detect_all_algos(conn, args.stable)
+    finally:
+        conn.close()
+
+    title = f"{args.stable} — 算法对比"
+    render_column(ts, vals, labels, results, args.output, title=title)
+
+
 def main():
     parser = build_parser()
     args = parser.parse_args()
@@ -271,6 +301,7 @@ def main():
         "watch": cmd_watch,
         "render-algo": cmd_render_algo,
         "montage": cmd_montage,
+        "render-column": cmd_render_column,
     }
 
     fn = dispatch.get(args.command)