系统定时任务日志持久化：新增入库与后台查询

- 新增系统任务日志表 t_system_job_logs，持久化记录每次执行结果、摘要、耗时、详情JSON\n- SystemJobLoader 注册任务时增加执行包装器：成功/失败均写入数据库日志，失败后继续抛出保证运行态状态一致\n- 系统任务后台日志接口改为查询数据库日志（不再依赖仅内存的 async_job logs），解决重启后日志丢失问题\n- 保持前端日志字段兼容，接口返回映射为 time/level/message 结构

admin/dashboard/blueprints/system_jobs.py

@@ -94,12 +94,24 @@ def api_trigger_job(job_key: str):
 @system_jobs_bp.route("/api/jobs/<job_key>/logs", methods=["GET"])
 @login_required
 def api_job_logs(job_key: str):
-    job_id = async_job.get_job_id_by_key(job_key)
-    if not job_id:
-        return jsonify({"success": True, "data": []})
-
+    server = current_app.dashboard_server
     limit = int(request.args.get("limit", 100))
-    logs = async_job.get_job_logs(job_id, limit=limit)
+    db_logs = server.system_job_db.get_job_logs(job_key, limit=limit)
+    # 为了兼容前端既有表头(time/level/message)，这里做一层字段映射。
+    logs = []
+    for row in db_logs:
+        status = str(row.get("status") or "")
+        level = "error" if status == "failed" else ("success" if status == "success" else "info")
+        logs.append(
+            {
+                "time": row.get("triggered_at"),
+                "level": level,
+                "message": row.get("summary") or "",
+                "status": status,
+                "duration_ms": row.get("duration_ms"),
+                "detail_json": row.get("detail_json") or {},
+            }
+        )
     return jsonify({"success": True, "data": logs})
 
 

db/system_job_db.py

@@ -15,7 +15,7 @@ class SystemJobDBOperator(BaseDBOperator):
         super().__init__(db_manager)
 
     def init_tables(self) -> bool:
-        """初始化系统任务配置表。"""
+        """初始化系统任务配置表与日志表。"""
         try:
             self.execute_update(
                 """
@@ -31,6 +31,21 @@ class SystemJobDBOperator(BaseDBOperator):
                 )
                 """
             )
+            # 系统任务执行日志表：用于持久化记录每次任务执行结果，避免重启后日志丢失。
+            self.execute_update(
+                """
+                CREATE TABLE IF NOT EXISTS t_system_job_logs (
+                    id BIGINT PRIMARY KEY AUTO_INCREMENT,
+                    job_key VARCHAR(64) NOT NULL,
+                    triggered_at DATETIME DEFAULT CURRENT_TIMESTAMP,
+                    status VARCHAR(32) NOT NULL,
+                    summary VARCHAR(255) DEFAULT '',
+                    detail_json JSON DEFAULT NULL,
+                    duration_ms INT DEFAULT NULL,
+                    INDEX idx_job_time (job_key, triggered_at)
+                )
+                """
+            )
             return True
         except Exception as e:
             logger.error(f"初始化 t_system_jobs 失败: {e}")
@@ -110,3 +125,47 @@ class SystemJobDBOperator(BaseDBOperator):
 
     def delete_job(self, job_key: str) -> bool:
         return self.execute_update("DELETE FROM t_system_jobs WHERE job_key = %s", (job_key,))
+
+    def create_job_log(
+        self,
+        job_key: str,
+        status: str,
+        summary: str,
+        detail: Optional[Dict[str, Any]] = None,
+        duration_ms: Optional[int] = None,
+    ) -> bool:
+        """写入系统任务执行日志。"""
+        sql = """
+        INSERT INTO t_system_job_logs (job_key, status, summary, detail_json, duration_ms)
+        VALUES (%s, %s, %s, %s, %s)
+        """
+        params = (
+            str(job_key),
+            str(status),
+            str(summary or ""),
+            json.dumps(detail or {}, ensure_ascii=False),
+            duration_ms if duration_ms is not None else None,
+        )
+        return self.execute_update(sql, params)
+
+    def get_job_logs(self, job_key: str, limit: int = 100) -> List[Dict[str, Any]]:
+        """获取系统任务持久化日志。"""
+        rows = self.execute_query(
+            """
+            SELECT * FROM t_system_job_logs
+            WHERE job_key = %s
+            ORDER BY triggered_at DESC
+            LIMIT %s
+            """,
+            (str(job_key), int(limit)),
+        ) or []
+        for row in rows:
+            detail = row.get("detail_json")
+            if isinstance(detail, str):
+                try:
+                    row["detail_json"] = json.loads(detail)
+                except json.JSONDecodeError:
+                    row["detail_json"] = {}
+            elif detail is None:
+                row["detail_json"] = {}
+        return rows

utils/system_jobs.py

@@ -1,6 +1,8 @@
 # -*- coding: utf-8 -*-
 from __future__ import annotations
 
+import inspect
+from datetime import datetime
 from typing import Any, Awaitable, Callable, Dict, List
 
 from loguru import logger
@@ -99,9 +101,38 @@ class SystemJobLoader:
                 logger.warning(f"系统任务 {job_key} 在代码中无处理器，已跳过注册")
                 continue
 
-            handler = definition["handler"]
+            raw_handler = definition["handler"]
+
+            async def _wrapped_handler(_handler=raw_handler, _job_key=job_key):
+                """系统任务执行包装器：执行业务并持久化日志。"""
+                started_at = datetime.now()
+                try:
+                    result = _handler()
+                    # 兼容同步/异步 handler 两种写法。
+                    if inspect.isawaitable(result):
+                        await result
+                    duration_ms = int((datetime.now() - started_at).total_seconds() * 1000)
+                    self.db.create_job_log(
+                        _job_key,
+                        "success",
+                        "执行成功",
+                        detail={"job_key": _job_key},
+                        duration_ms=duration_ms,
+                    )
+                except Exception as e:
+                    duration_ms = int((datetime.now() - started_at).total_seconds() * 1000)
+                    # 失败日志写库后继续抛出，让 async_job 运行态状态也能正确标记为 failed。
+                    self.db.create_job_log(
+                        _job_key,
+                        "failed",
+                        f"执行失败: {e}",
+                        detail={"job_key": _job_key, "error": str(e)},
+                        duration_ms=duration_ms,
+                    )
+                    raise
+
             job_id = async_job.register_callable(
-                func=handler,
+                func=_wrapped_handler,
                 trigger_type=row.get("trigger_type", definition["trigger_type"]),
                 trigger_config=row.get("trigger_config", definition["trigger_config"]),
                 job_name=row.get("name") or definition["name"],