From f0074bca42f9e6f1d3c4b7f37524d22e41e03007 Mon Sep 17 00:00:00 2001
From: zdl <3489966805@qq.com>
Date: Thu, 4 Dec 2025 10:20:42 +0800
Subject: [PATCH] =?UTF-8?q?fix:=20=E4=BF=AE=E6=94=B9=E7=9A=84=E5=90=8E?=
 =?UTF-8?q?=E7=AB=AF=E4=BB=A3=E7=A0=81=20/api/market/statistics=20?=
 =?UTF-8?q?=E6=8E=A5=E5=8F=A3=20=E6=B7=BB=E5=8A=A0=E6=97=A5=E6=9C=9F?=
 =?UTF-8?q?=E6=A0=BC=E5=BC=8F=E5=8C=96=E9=80=BB=E8=BE=91=20//api/concepts/?=
 =?UTF-8?q?daily-top=20=E6=B7=BB=E5=8A=A0=E6=97=A5=E6=9C=9F=E6=A0=BC?=
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---
 app.py | 17 ++++++++++++++---
 1 file changed, 14 insertions(+), 3 deletions(-)

diff --git a/app.py b/app.py
index fc1b8735..b2e2591b 100755
--- a/app.py
+++ b/app.py
@@ -12232,12 +12232,19 @@ def get_market_statistics():
 
             available_dates = [str(row.TRADEDATE) for row in available_dates_result]
 
+            # 格式化日期为 YYYY-MM-DD
+            formatted_trade_date = trade_date.strftime('%Y-%m-%d') if hasattr(trade_date, 'strftime') else str(trade_date).split(' ')[0][:10]
+            formatted_available_dates = [
+                d.strftime('%Y-%m-%d') if hasattr(d, 'strftime') else str(d).split(' ')[0][:10]
+                for d in [row.TRADEDATE for row in available_dates_result]
+            ]
+
             return jsonify({
                 'success': True,
-                'trade_date': str(trade_date),
+                'trade_date': formatted_trade_date,
                 'summary': summary,
                 'details': list(statistics.values()),
-                'available_dates': available_dates
+                'available_dates': formatted_available_dates
             })
 
     except Exception as e:
@@ -12286,10 +12293,14 @@ def get_daily_top_concepts():
                     'stocks': concept.get('stocks', [])[:5]  # 只返回前5只股票
                 })
 
+            # 格式化日期为 YYYY-MM-DD
+            price_date = data.get('price_date', '')
+            formatted_date = str(price_date).split(' ')[0][:10] if price_date else ''
+
             return jsonify({
                 'success': True,
                 'data': top_concepts,
-                'trade_date': data.get('price_date'),
+                'trade_date': formatted_date,
                 'count': len(top_concepts)
             })
         else: