From 174042515279b4daca4e487dbb7a8e4825408801 Mon Sep 17 00:00:00 2001
From: duxin <duxin@example.com>
Date: Thu, 9 Jul 2026 11:17:54 +0800
Subject: [PATCH] =?UTF-8?q?fix:=20=E6=8A=A5=E5=91=8A=E6=B0=B4=E8=89=B2?=
 =?UTF-8?q?=E6=8C=87=E6=95=B0=E6=A8=A1=E5=BC=8F=20stats=5Fdata=20=E8=A1=A5?=
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 =?UTF-8?q?=E6=AE=B5?=
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水色指数模式 stats_data 只复制了 参数/点位数,
  缺少 最小值/最大值/平均值/标准差 →
  _analyze_statistics 访问时 KeyError: '最小值'
---
 src/postprocessing/report_word.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/src/postprocessing/report_word.py b/src/postprocessing/report_word.py
index 0c2391f..07485d0 100644
--- a/src/postprocessing/report_word.py
+++ b/src/postprocessing/report_word.py
@@ -1724,7 +1724,11 @@ class WaterQualityReportGenerator:
                     row_cells = table.add_row().cells
                     for j, (col_name, hdr_name) in enumerate(header_map.items()):
                         row_cells[j].text = str(row_dict.get(col_name, ''))
-                stats_data = [{'参数': r['参数'], '点位数': r['数量']} for r in stats_rows]
+                stats_data = [{
+                    '参数': r['参数'], '点位数': r['数量'],
+                    '最小值': str(r['最小值']), '最大值': str(r['最大值']),
+                    '平均值': str(r['平均值']), '标准差': str(r['标准差']),
+                } for r in stats_rows]
             else:
                 # ML 模式：逐列统计
                 stats_data = []