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From: root <root@SK-20241230EDYF.localdomain>
Date: Wed, 10 Dec 2025 16:24:10 +0800
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问题原因：
- SQL查询中使用AS别名在SQLite Row对象转换时可能失败

修复方案：
- 改为查询所有字段后在Python中进行字段映射
- 添加字段映射：execute_time → created_at
- 添加字段映射：success_accounts → success_count
- 添加字段映射：failed_accounts → failed_count
- 添加字段映射：duration_seconds → duration

位置: database.py 第1661-1683行

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
---
 database.py | 31 ++++++++++++++-----------------
 1 file changed, 14 insertions(+), 17 deletions(-)

diff --git a/database.py b/database.py
index 369c8da..5f484e9 100755
--- a/database.py
+++ b/database.py
@@ -1663,27 +1663,24 @@ def get_schedule_execution_logs(schedule_id, limit=10):
     with db_pool.get_db() as conn:
         cursor = conn.cursor()
         cursor.execute('''
-            SELECT
-                id,
-                schedule_id,
-                user_id,
-                schedule_name,
-                execute_time as created_at,
-                total_accounts,
-                success_accounts as success_count,
-                failed_accounts as failed_count,
-                total_items,
-                total_attachments,
-                total_screenshots,
-                duration_seconds as duration,
-                status,
-                error_message
-            FROM schedule_execution_logs
+            SELECT * FROM schedule_execution_logs
             WHERE schedule_id = ?
             ORDER BY execute_time DESC
             LIMIT ?
         ''', (schedule_id, limit))
-        return [dict(row) for row in cursor.fetchall()]
+
+        # 将数据库字段映射到前端期望的字段名
+        logs = []
+        for row in cursor.fetchall():
+            log = dict(row)
+            # 字段映射
+            log['created_at'] = log.get('execute_time')
+            log['success_count'] = log.get('success_accounts', 0)
+            log['failed_count'] = log.get('failed_accounts', 0)
+            log['duration'] = log.get('duration_seconds', 0)
+            logs.append(log)
+
+        return logs
 
 
 def get_user_all_schedule_logs(user_id, limit=50):