{
  "version": 1,
  "jobs": [
    {
      "id": "2073cd46-e64a-4304-a99e-a8b8a703fa54",
      "agentId": "main",
      "sessionKey": "agent:main:feishu:group:oc_d5ef8b1abf66842c28ef57e1658dc096",
      "name": "每日收款失败统计",
      "enabled": true,
      "createdAtMs": 1774023841911,
      "updatedAtMs": 1774251937304,
      "schedule": {
        "kind": "cron",
        "expr": "0 8 * * *",
        "tz": "Asia/Shanghai"
      },
      "sessionTarget": "isolated",
      "wakeMode": "now",
      "payload": {
        "kind": "agentTurn",
        "message": "执行以下任务：\n\n1. 搜索飞书群聊「益选通知群」(chat_id: oc_d5ef8b1abf66842c28ef57e1658dc096) 中关于「收款失败」的消息\n2. 时间范围：昨天夜里23:00到今天早上8:00（注意：当前时间是早上8点，所以查询范围是「昨天23:00到今天08:00」）\n3. 读取现有Excel文件：https://my.feishu.cn/sheets/MCn9szPGmh1N2it2W0pc6vsSnSb\n4. 判断逻辑：\n   - 如果没有收款失败数据 → 在群里只发一条消息：「收款失败统计 (昨天~今天)：无失败记录 ✅」\n   - 如果有失败数据 → 追加到Excel表（Sheet1，从第8行开始追加），然后在群里发消息：「收款失败统计 (昨天~今天)：共X条失败记录，已更新X条到Excel」\n5. Excel追加格式：序号自动生成（现有最大序号+1）、时间、支付方式、金额、备注（留空或填入备注）\n6. 注意：不需要统计成功的数据，只处理失败记录",
        "model": "minimax-portal/MiniMax-M2.5",
        "timeoutSeconds": 300
      },
      "delivery": {
        "mode": "announce",
        "channel": "feishu"
      },
      "state": {
        "nextRunAtMs": 1774310400000,
        "lastRunAtMs": 1774251909853,
        "lastRunStatus": "ok",
        "lastStatus": "ok",
        "lastDurationMs": 27451,
        "lastDelivered": true,
        "lastDeliveryStatus": "delivered",
        "consecutiveErrors": 0
      }
    },
    {
      "id": "07c52b1a-df78-4f06-a15f-45d22cab8402",
      "agentId": "main",
      "sessionKey": "agent:main:wecom:direct:houhuan",
      "name": "向量记忆每日备份",
      "enabled": true,
      "createdAtMs": 1774076047011,
      "updatedAtMs": 1774292427291,
      "schedule": {
        "kind": "cron",
        "expr": "0 3 * * *",
        "tz": "Asia/Shanghai"
      },
      "sessionTarget": "main",
      "wakeMode": "now",
      "payload": {
        "kind": "systemEvent",
        "text": "向量记忆系统自动备份"
      },
      "delivery": {
        "mode": "none"
      },
      "state": {
        "nextRunAtMs": 1774378800000,
        "lastRunAtMs": 1774292400005,
        "lastRunStatus": "ok",
        "lastStatus": "ok",
        "lastDurationMs": 27286,
        "lastDeliveryStatus": "not-requested",
        "consecutiveErrors": 0
      }
    },
    {
      "id": "d9227c97-bb1f-4e75-99ef-33295da968fd",
      "agentId": "main",
      "sessionKey": "agent:main:wecom:direct:houhuan",
      "name": "OpenClaw每日备份到Gitea",
      "enabled": true,
      "createdAtMs": 1774078576117,
      "updatedAtMs": 1774251904812,
      "schedule": {
        "kind": "cron",
        "expr": "0 4 * * *",
        "tz": "Asia/Shanghai"
      },
      "sessionTarget": "main",
      "wakeMode": "now",
      "payload": {
        "kind": "systemEvent",
        "text": "执行 OpenClaw 备份到 Gitea"
      },
      "delivery": {
        "mode": "none"
      },
      "state": {
        "nextRunAtMs": 1774296000000,
        "lastRunAtMs": 1774251304805,
        "lastRunStatus": "error",
        "lastStatus": "error",
        "lastDurationMs": 600007,
        "lastDeliveryStatus": "not-requested",
        "consecutiveErrors": 1,
        "lastErrorReason": "timeout",
        "runningAtMs": 1774296000004
      }
    },
    {
      "id": "64988c1b-b84f-455b-9d33-bf64fbdad911",
      "agentId": "main",
      "sessionKey": "agent:main:wecom:direct:houhuan",
      "name": "每日对话记忆保存",
      "enabled": true,
      "createdAtMs": 1774082768253,
      "updatedAtMs": 1774280457943,
      "schedule": {
        "kind": "cron",
        "expr": "40 23 * * *",
        "tz": "Asia/Shanghai"
      },
      "sessionTarget": "main",
      "wakeMode": "now",
      "payload": {
        "kind": "systemEvent",
        "text": "执行对话记忆保存任务"
      },
      "delivery": {
        "mode": "none"
      },
      "state": {
        "nextRunAtMs": 1774366800000,
        "lastRunAtMs": 1774280400005,
        "lastRunStatus": "ok",
        "lastStatus": "ok",
        "lastDurationMs": 57938,
        "lastDeliveryStatus": "not-requested",
        "consecutiveErrors": 0
      }
    },
    {
      "id": "00d74907-d2d5-4dcf-bb1a-b0a1f1bd0fa8",
      "agentId": "main",
      "sessionKey": "agent:main:feishu:direct:ou_86def554b50f91972e2924a605ccf634",
      "name": "每日热点新闻股市分析报告",
      "enabled": true,
      "createdAtMs": 1774172078716,
      "updatedAtMs": 1774274502419,
      "schedule": {
        "kind": "cron",
        "expr": "0 22 * * *",
        "tz": "Asia/Shanghai"
      },
      "sessionTarget": "isolated",
      "wakeMode": "now",
      "payload": {
        "kind": "agentTurn",
        "message": "任务：生成每日热点新闻股市分析报告\n\n1. 从飞书群「热点新闻推送」(chat_id: oc_c614d6c696e6a24b105ecc7343ea33d1) 拉取今天和昨天的所有消息\n2. 从消息中提取热点新闻关键词、新闻标题和内容\n3. 代入资深股票交易员身份，分析这些新闻对A股市场的影响：\n   - 地缘政治新闻（美国、伊朗、日本、韩国等）对资源股/能源股的影响\n   - 中国国内政策和经济新闻对大盘的影响\n   - 科技行业新闻（AI、机器人、华为等）对相关板块的影响\n   - 重点关注：铜陵有色(000630)、岩山科技(002195) 相关新闻\n4. 给出第二天的操作建议（仅供参考，不构成投资建议）\n5. 将报告以清晰的结构化格式发送给用户\n\n报告格式：\n【每日股市分析报告】日期\n\n一、宏观环境\n- 地缘政治\n- 国际市场\n\n二、市场热点\n- 热门板块\n- 重点新闻\n\n三、个股分析\n- 铜陵有色\n- 岩山科技\n\n四、操作建议（仅供参考）\n\n---\n请注意：投资有风险，决策需谨慎！",
        "model": "minimax-portal/MiniMax-M2.7",
        "timeoutSeconds": 300
      },
      "delivery": {
        "mode": "announce",
        "channel": "feishu"
      },
      "state": {
        "nextRunAtMs": 1774360800000,
        "lastRunAtMs": 1774274400006,
        "lastRunStatus": "ok",
        "lastStatus": "ok",
        "lastDurationMs": 102413,
        "lastDelivered": true,
        "lastDeliveryStatus": "delivered",
        "consecutiveErrors": 0
      }
    },
    {
      "id": "5273524a-fe06-486c-9706-005f80b061e5",
      "agentId": "main",
      "sessionKey": "agent:main:wecom:direct:houhuan",
      "name": "上下文使用量检测-自动保存记忆",
      "enabled": true,
      "createdAtMs": 1774182145274,
      "updatedAtMs": 1774295945977,
      "schedule": {
        "kind": "every",
        "everyMs": 1800000,
        "anchorMs": 1774182145274
      },
      "sessionTarget": "isolated",
      "wakeMode": "now",
      "payload": {
        "kind": "agentTurn",
        "message": "请执行上下文使用量检测脚本：\n\n```bash\npython3 ~/.openclaw/workspace/scripts/context_memory_guard.py\n```\n\n只需要运行这个命令并报告结果即可。如果检测到上下文使用量 >= 90%，脚本会自动保存记忆。",
        "model": "minimax-portal/MiniMax-M2.7",
        "timeoutSeconds": 60
      },
      "delivery": {
        "mode": "announce",
        "channel": "wecom"
      },
      "state": {
        "nextRunAtMs": 1774297729670,
        "lastRunAtMs": 1774295929670,
        "lastRunStatus": "ok",
        "lastStatus": "ok",
        "lastDurationMs": 16307,
        "lastDelivered": true,
        "lastDeliveryStatus": "delivered",
        "consecutiveErrors": 0
      }
    }
  ]
}