{
  "schema_version": 3,
  "workflows": [
    {
      "id": "content.metrics.daily",
      "module": "content_marketing",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "collect_collaborators",
            "name": "采集合作达人指标",
              "description": "按每日范围并行抓取合作达人在 B站、小红书蒲公英和星图的曝光等指标，星图未命中的任务再用抖店达人广场补采；05:00 仅补 01:00 未完成的任务。",
            "data_flow": {
              "sources": [
                {
                  "system": "飞书",
                  "label": "合作达人及内容清单"
                },
                {
                  "system": "内容平台",
                    "label": "B站、小红书蒲公英与星图/抖店补采指标"
                }
              ],
              "processing": [
                "按业务日期拆分平台采集任务",
                "并行抓取合作内容曝光与互动指标"
              ],
              "destinations": [
                {
                  "system": "本地采集产物",
                  "label": "合作达人多平台指标结果"
                }
              ]
            },
            "entry": "run_all.py",
            "args": [
              "--daily-scope"
            ],
            "replay_policy": "repeatable"
          },
          {
            "id": "refresh_self_mapping",
            "name": "刷新自营款式映射",
            "description": "从飞书索引刷新自营账号、款式与多维表映射，供后续自营采集准确定位目标记录；账号暂时失效时仅暂停自营采集，不移除工作流步骤。",
            "data_flow": {
              "sources": [
                {
                  "system": "飞书",
                  "label": "自营内容索引、账号与款式配置"
                }
              ],
              "processing": [
                "刷新自营账号、款式和多维表对应关系"
              ],
              "destinations": [
                {
                  "system": "本地映射",
                  "label": "自营账号、款式与目标表索引"
                }
              ]
            },
            "entry": "data/tools/refresh_self_mapping.py",
            "depends_on": [
              "collect_collaborators"
            ],
            "run_after_failure": true,
            "replay_policy": "repeatable"
          },
          {
            "id": "collect_self_bilibili",
            "name": "采集自营 B站指标",
            "description": "读取自营映射中的 B站笔记链接，通过公开 API 获取播放量和发布时间并回填对应飞书表。",
            "data_flow": {
              "sources": [
                {
                  "system": "本地映射",
                  "label": "自营 B站笔记链接"
                },
                {
                  "system": "B站公开 API",
                  "label": "播放量与发布时间"
                }
              ],
              "processing": [
                "按映射定位自营笔记并读取公开指标"
              ],
              "destinations": [
                {
                  "system": "飞书",
                  "label": "自营 B站内容指标表"
                },
                {
                  "system": "本地采集产物",
                  "label": "B站自营指标结果"
                }
              ]
            },
            "entry": "self_bilibili_scraper.py",
            "depends_on": [
              "refresh_self_mapping"
            ],
            "run_after_failure": true,
            "replay_policy": "repeatable"
          },
          {
            "id": "collect_self_douyin",
            "name": "采集自营抖音指标",
            "description": "使用蝉妈妈新账号登录态导出自营抖音视频数据，解析曝光指标并回填飞书自营表。",
            "data_flow": {
              "sources": [
                {
                  "system": "本地映射",
                  "label": "自营抖音账号与款式"
                },
                {
                  "system": "蝉妈妈",
                  "label": "已登录的抖音视频导出数据"
                }
              ],
              "processing": [
                "导出自营视频数据并解析曝光指标"
              ],
              "destinations": [
                {
                  "system": "飞书",
                  "label": "自营抖音内容指标表"
                },
                {
                  "system": "本地采集产物",
                  "label": "抖音自营指标结果"
                }
              ]
            },
            "entry": "chanmama_scraper.py",
            "depends_on": [
              "collect_self_bilibili"
            ],
            "run_after_failure": true,
            "replay_policy": "repeatable"
          },
          {
            "id": "sync",
            "name": "同步合作与自营曝光指标入库",
            "description": "汇总本轮合作达人及自营曝光结果，按记录映射更新或补建 PostgreSQL 内容笔记数据。",
            "data_flow": {
              "sources": [
                {
                  "system": "本轮采集产物",
                  "label": "合作达人及自营内容指标"
                },
                {
                  "system": "本地映射",
                  "label": "内容记录对应关系"
                }
              ],
              "processing": [
                "合并各平台指标并匹配内容记录",
                "更新已有记录或补建缺失记录"
              ],
              "destinations": [
                {
                  "system": "PostgreSQL",
                  "label": "内容笔记与曝光指标"
                }
              ]
            },
            "entry": "data/tools/sync_metrics_to_cmt_notes.py",
            "depends_on": [
              "collect_self_douyin"
            ],
            "replay_policy": "repeatable",
            "run_after_failure": true
          }
        ]
      },
      "provenance": {
        "source_project": "content",
        "task_name": "YingxiaoYunying_DailyRun"
      },
      "note": "每日 01:00 执行合作达人及自营 B站、蝉妈妈采集，05:00 按 01:00 产生的未完成清单补采；账号切换期间仅暂停自营采集步骤，不移除自营链；两次均完成后同步曝光指标入库。"
    },
    {
      "id": "content.metrics.backfill",
      "module": "content_marketing",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "collect_collaborators",
            "name": "补采合作达人指标",
              "description": "按每日范围并行补采合作达人在 B站、小红书蒲公英和星图的曝光等指标，星图未命中的任务再用抖店达人广场补采。",
            "data_flow": {
              "sources": [
                {
                  "system": "飞书",
                  "label": "合作达人及内容清单"
                },
                {
                  "system": "内容平台",
                    "label": "B站、小红书蒲公英与星图/抖店补采指标"
                }
              ],
              "processing": [
                "按每日范围补采合作达人多平台指标"
              ],
              "destinations": [
                {
                  "system": "本地采集产物",
                  "label": "合作达人多平台补采结果"
                }
              ]
            },
            "entry": "run_all.py",
            "args": [
              "--daily-scope"
            ]
          },
          {
            "id": "sync",
            "name": "同步补采曝光指标入库",
            "description": "将合作达人补采产物同步到 PostgreSQL 内容笔记表；即使采集步骤失败也执行同步，保留来源批处理的收敛语义。",
            "data_flow": {
              "sources": [
                {
                  "system": "本轮采集产物",
                  "label": "合作达人补采指标"
                },
                {
                  "system": "本地映射",
                  "label": "内容记录对应关系"
                }
              ],
              "processing": [
                "匹配合作达人内容记录并同步曝光指标"
              ],
              "destinations": [
                {
                  "system": "PostgreSQL",
                  "label": "内容笔记与曝光指标"
                }
              ]
            },
            "entry": "data/tools/sync_metrics_to_cmt_notes.py",
            "depends_on": [
              "collect_collaborators"
            ],
            "run_after_failure": true
          }
        ]
      },
      "provenance": {
        "source_project": "content",
        "task_name": "YingxiaoYunying_MondayBackfill"
      },
      "note": "严格保留来源周一补采语义：只运行合作达人 run_all.py --daily-scope，随后无论采集是否失败都执行 PostgreSQL 同步；不包含自营映射和自营平台采集。"
    },
    {
      "id": "content.marketing_report.daily",
      "module": "content_marketing",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "generate_and_send",
            "name": "生成并发送营销日报",
            "description": "聚合各款式内容与评论分析，生成一页全域种草日报并发送给飞书负责人。",
            "data_flow": {
              "sources": [
                {
                  "system": "PostgreSQL",
                  "label": "内容、经营、评论与达人数据",
                  "detail": "款式指标、笔记、评论、合作和画像等"
                },
                {
                  "system": "飞书",
                  "label": "款式、负责人及素材配置"
                }
              ],
              "processing": [
                "聚合业务事实与款式表现",
                "调用 Hermes 生成营销分析",
                "生成图表和 Markdown 日报"
              ],
              "destinations": [
                {
                  "system": "本地报告",
                  "label": "Markdown 日报与 PNG 数据看板"
                },
                {
                  "system": "飞书",
                  "label": "负责人日报卡片",
                  "condition": "正式执行且启用 --send"
                }
              ]
            },
            "entry": "daily_marketing_report.py",
            "args": [
              "--send"
            ]
          }
        ]
      },
      "provenance": {
        "source_project": "content",
        "task_name": "YingxiaoYunying_DailyMarketingReport"
      }
    },
    {
      "id": "content.relogin.weekly",
      "module": "content_marketing",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "relogin",
            "name": "刷新内容平台登录态",
            "description": "并行启动五个平台的二维码重新登录流程，按配置轮次重试，持久化登录状态并通知结果。",
            "data_flow": {
              "sources": [
                {
                  "system": "内容平台",
                  "label": "五个平台登录页与当前会话状态"
                }
              ],
              "processing": [
                "并行发起二维码登录并按轮次重试",
                "校验并持久化新的登录会话"
              ],
              "destinations": [
                {
                  "system": "浏览器状态",
                  "label": "各平台 Cookie 与 storage state"
                },
                {
                  "system": "飞书",
                  "label": "登录刷新结果通知"
                }
              ]
            },
            "entry": "data/tools/friday_relogin_parallel.py",
            "args": [
              "--max-attempts",
              "3",
              "--round-timeout",
              "300",
              "--screenshot-delay",
              "60"
            ]
          }
        ]
      },
      "provenance": {
        "source_project": "content",
        "task_name": "YingxiaoYunying_FridayRelogin"
      }
    },
    {
      "id": "content.creator_report.monthly",
      "module": "content_marketing",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "generate",
            "name": "生成达人合作月报",
            "description": "从 PostgreSQL 读取达人、款式和合作数据，生成完整的报价与合作分析报告。",
            "data_flow": {
              "sources": [
                {
                  "system": "PostgreSQL",
                  "label": "达人、款式、合作与内容表现数据"
                }
              ],
              "processing": [
                "统计达人报价、合作和内容效果",
                "生成月度筛选与报价分析"
              ],
              "destinations": [
                {
                  "system": "本地报告",
                  "label": "达人合作月报 Markdown"
                },
                {
                  "system": "飞书文档",
                  "label": "达人合作分析报告"
                },
                {
                  "system": "PostgreSQL",
                  "label": "月报记录与报告链接"
                }
              ]
            },
            "entry": "data/tools/generate_creator_report.py"
          }
        ]
      },
      "provenance": {
        "source_project": "content",
        "task_name": "YingxiaoYunying_MonthlyCreatorReport"
      }
    },
    {
      "id": "content.summary.monthly",
      "module": "content_marketing",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "summarize",
            "name": "生成内容月度汇总",
            "description": "分析上月各款全部笔记并做跨平台横向对比，生成飞书文档、回写生命进程表并入库。",
            "data_flow": {
              "sources": [
                {
                  "system": "PostgreSQL",
                  "label": "上月各款内容、互动与评论数据"
                },
                {
                  "system": "飞书",
                  "label": "款式与生命进程配置"
                }
              ],
              "processing": [
                "按款式分析全部笔记",
                "完成跨平台对比与月度总结"
              ],
              "destinations": [
                {
                  "system": "飞书文档",
                  "label": "内容月度报告"
                },
                {
                  "system": "飞书",
                  "label": "款式生命进程表"
                },
                {
                  "system": "PostgreSQL",
                  "label": "月度汇总结果"
                }
              ]
            },
            "entry": "monthly_summary_all.py",
            "args": [
              "--max-workers",
              "4"
            ]
          }
        ]
      },
      "provenance": {
        "source_project": "content",
        "task_name": "YingxiaoYunying_MonthlySummary"
      }
    },
    {
      "id": "content.notes_master.daily",
      "module": "content_marketing",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "sync",
            "name": "同步笔记清单与合作记录",
            "description": "遍历各款式合作达人和自营多维表格，一次拉取后幂等写入 PostgreSQL 笔记主表（笔记身份+合作财务同行），同步达人档案，并标记来源已删除记录。",
            "data_flow": {
              "sources": [
                {
                  "system": "飞书",
                  "label": "各款式合作达人及自营笔记表"
                }
              ],
              "processing": [
                "刷新款式与来源表映射",
                "全量读取笔记身份与合作字段并规范化",
                "按飞书来源记录幂等同步并标记已删除记录"
              ],
              "destinations": [
                {
                  "system": "PostgreSQL",
                  "label": "笔记主表 cmt_notes_master 与达人档案"
                }
              ]
            },
            "entry": "data/tools/sync_notes_master.py",
            "args": [
              "--execute"
            ]
          }
        ]
      },
      "provenance": {
        "source_project": "content",
        "task_name": "GYXX_DailyNotesMasterSync"
      },
      "note": "合并原合作记录同步与完整笔记清单同步：一次飞书拉取同时落笔记身份与合作字段；笔记数量以主表 source_active AND is_countable 的去重链接为准，曝光指标由内容指标采集写回同一行。"
    },
    {
      "id": "content.comments.weekly",
      "module": "content_marketing",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "bilibili",
            "name": "重采 B站评论",
            "description": "从数据库读取 B站视频，重新采集互动指标和评论，替换评论表数据并保存本地产物。",
            "data_flow": {
              "sources": [
                {
                  "system": "PostgreSQL",
                  "label": "B站视频清单"
                },
                {
                  "system": "B站",
                  "label": "视频互动指标与评论"
                }
              ],
              "processing": [
                "逐条重新采集视频互动和评论"
              ],
              "destinations": [
                {
                  "system": "PostgreSQL",
                  "label": "B站评论与互动指标"
                },
                {
                  "system": "本地采集产物",
                  "label": "B站评论结果"
                }
              ]
            },
            "entry": "data/tools/batch_rescrape_bilibili.py"
          },
          {
            "id": "xiaohongshu",
            "name": "重采小红书评论",
            "description": "从数据库读取小红书笔记，重新采集互动指标和评论，替换评论表数据并保存本地产物。",
            "data_flow": {
              "sources": [
                {
                  "system": "PostgreSQL",
                  "label": "小红书笔记清单"
                },
                {
                  "system": "小红书",
                  "label": "笔记互动指标与评论"
                }
              ],
              "processing": [
                "逐条重新采集笔记互动和评论"
              ],
              "destinations": [
                {
                  "system": "PostgreSQL",
                  "label": "小红书评论与互动指标"
                },
                {
                  "system": "本地采集产物",
                  "label": "小红书评论结果"
                }
              ]
            },
            "entry": "data/tools/batch_rescrape_xiaohongshu.py"
          },
          {
            "id": "douyin",
            "name": "重采抖音评论",
            "description": "从数据库读取抖音视频，重新采集互动指标和评论，替换评论表数据并保存本地产物。",
            "data_flow": {
              "sources": [
                {
                  "system": "PostgreSQL",
                  "label": "抖音视频清单"
                },
                {
                  "system": "抖音",
                  "label": "视频互动指标与评论"
                }
              ],
              "processing": [
                "逐条重新采集视频互动和评论"
              ],
              "destinations": [
                {
                  "system": "PostgreSQL",
                  "label": "抖音评论与互动指标"
                },
                {
                  "system": "本地采集产物",
                  "label": "抖音评论结果"
                }
              ]
            },
            "entry": "data/tools/batch_rescrape_douyin.py"
          }
        ]
      },
      "provenance": {
        "source_project": "content",
        "task_name": "YingxiaoYunying_WeeklyCommentScrape"
      },
      "note": "保留来源批处理语义：三平台并行启动、全部等待，任一平台失败则工作流最终失败。"
    },
    {
      "id": "content.summary.weekly",
      "module": "content_marketing",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "summarize",
            "name": "生成内容周度汇总",
            "description": "分析上周各款新增笔记，调用模型生成综合评级，创建飞书周报并回写生命进程表。",
            "data_flow": {
              "sources": [
                {
                  "system": "PostgreSQL",
                  "label": "上周各款新增笔记与互动数据"
                },
                {
                  "system": "飞书",
                  "label": "款式与生命进程配置"
                }
              ],
              "processing": [
                "按款式汇总新增内容",
                "调用模型生成评级与周度分析"
              ],
              "destinations": [
                {
                  "system": "飞书文档",
                  "label": "内容周报"
                },
                {
                  "system": "飞书",
                  "label": "款式生命进程表"
                },
                {
                  "system": "PostgreSQL",
                  "label": "周度汇总结果"
                }
              ]
            },
            "entry": "weekly_summary_all.py",
            "args": [
              "--max-workers",
              "4"
            ]
          }
        ]
      },
      "provenance": {
        "source_project": "content",
        "task_name": "YingxiaoYunying_WeeklySummary"
      }
    },
    {
      "id": "shop.metrics.weekly",
      "module": "shop_intelligence",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "jd",
            "name": "采集京东店铺经营指标",
            "description": "独立采集京东店铺经营数据，生成本次产物并写入 PostgreSQL；不写入飞书 Base。",
            "data_flow": {
              "sources": [
                {
                  "system": "京东商智",
                  "label": "店铺经营指标"
                }
              ],
              "processing": [
                "按业务日期采集并规范化京东店铺数据"
              ],
              "destinations": [
                {
                  "system": "本地采集产物",
                  "label": "京东店铺指标"
                },
                {
                  "system": "PostgreSQL",
                  "label": "店铺经营指标"
                }
              ]
            },
            "entry": "runners/run_shop.py",
            "args": [
              "--platform",
              "jd",
              "--skip-feishu"
            ]
          },
          {
            "id": "dy",
            "name": "采集抖音店铺经营指标",
            "description": "独立采集抖音店铺经营数据，生成本次产物并写入 PostgreSQL；不写入飞书 Base。",
            "data_flow": {
              "sources": [
                {
                  "system": "抖音电商罗盘",
                  "label": "店铺经营指标"
                }
              ],
              "processing": [
                "按业务日期采集并规范化抖音店铺数据"
              ],
              "destinations": [
                {
                  "system": "本地采集产物",
                  "label": "抖音店铺指标"
                },
                {
                  "system": "PostgreSQL",
                  "label": "店铺经营指标"
                }
              ]
            },
            "entry": "runners/run_shop.py",
            "args": [
              "--platform",
              "dy",
              "--skip-feishu"
            ]
          },
          {
            "id": "tm",
            "name": "采集天猫店铺经营指标",
            "description": "独立采集天猫店铺经营数据，生成本次产物并写入 PostgreSQL；按原逻辑不写飞书店铺表。",
            "data_flow": {
              "sources": [
                {
                  "system": "天猫生意参谋",
                  "label": "店铺经营指标"
                }
              ],
              "processing": [
                "按业务日期采集并规范化天猫店铺数据"
              ],
              "destinations": [
                {
                  "system": "本地采集产物",
                  "label": "天猫店铺指标"
                },
                {
                  "system": "PostgreSQL",
                  "label": "店铺经营指标"
                }
              ]
            },
            "entry": "runners/run_shop.py",
            "args": [
              "--platform",
              "tm"
            ]
          }
        ]
      },
      "provenance": {
        "source_project": "shop",
        "task_name": "shop-data-collection"
      },
      "note": "三个平台作为独立 LangGraph 节点并行执行，分别采集并写入 PostgreSQL；店铺经营指标周采集不写飞书 Base，单个平台失败不阻断其他平台。"
    },
    {
      "id": "shop.competitor.weekly",
      "module": "shop_intelligence",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "jd",
            "name": "采集京东竞店经营指标",
            "description": "独立采集京东竞店排行，生成本次产物并写入 PostgreSQL；生产模式写入飞书 Base。",
            "data_flow": {
              "sources": [
                {
                  "system": "京东商智",
                  "label": "竞店排行与经营指标"
                }
              ],
              "processing": [
                "采集目标竞店并规范化排行数据"
              ],
              "destinations": [
                {
                  "system": "本地采集产物",
                  "label": "京东竞店指标"
                },
                {
                  "system": "PostgreSQL",
                  "label": "竞店经营指标"
                },
                {
                  "system": "飞书 Base",
                  "label": "京东竞店周数据",
                  "condition": "正式执行"
                }
              ]
            },
            "entry": "runners/run_peer_store.py",
            "args": [
              "--platform",
              "jd"
            ]
          },
          {
            "id": "dy",
            "name": "采集抖音竞店经营指标",
            "description": "独立采集抖音竞店排行，生成本次产物并写入 PostgreSQL；生产模式写入飞书 Base。",
            "data_flow": {
              "sources": [
                {
                  "system": "抖音电商罗盘",
                  "label": "竞店排行与经营指标"
                }
              ],
              "processing": [
                "采集目标竞店并规范化排行数据"
              ],
              "destinations": [
                {
                  "system": "本地采集产物",
                  "label": "抖音竞店指标"
                },
                {
                  "system": "PostgreSQL",
                  "label": "竞店经营指标"
                },
                {
                  "system": "飞书 Base",
                  "label": "抖音竞店周数据",
                  "condition": "正式执行"
                }
              ]
            },
            "entry": "runners/run_peer_store.py",
            "args": [
              "--platform",
              "dy"
            ]
          }
        ]
      },
      "provenance": {
        "source_project": "shop",
        "task_name": "peer-store-data-collection"
      },
      "note": "京东和抖音作为独立 LangGraph 节点并行执行，分别入库和收敛错误，单个平台失败不阻断另一个平台；当前无天猫竞店采集任务。"
    },
    {
      "id": "shop.jd_self_operated.daily",
      "module": "shop_intelligence",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "brand",
            "name": "采集京东自营品牌业绩",
            "description": "按业务日期采集京东自营品牌维度业绩，保存原始产物并写入 PostgreSQL。",
            "data_flow": {
              "sources": [
                {
                  "system": "京东自营后台",
                  "label": "品牌维度经营数据"
                }
              ],
              "processing": [
                "按业务日期采集并整理品牌业绩"
              ],
              "destinations": [
                {
                  "system": "本地原始产物",
                  "label": "品牌业绩数据"
                },
                {
                  "system": "PostgreSQL",
                  "label": "京东自营品牌日指标"
                }
              ]
            },
            "entry": "collectors/jd_self_operated_brand_daily.py",
            "args": [
              "--start-date",
              "{business_date}",
              "--end-date",
              "{business_date}",
              "--headless"
            ],
            "timeout_seconds": 600
          },
          {
            "id": "product",
            "name": "采集京东自营商品业绩",
            "description": "按业务日期逐页采集京东自营商品维度业绩，保存原始产物并写入 PostgreSQL。",
            "data_flow": {
              "sources": [
                {
                  "system": "京东自营后台",
                  "label": "商品维度经营数据"
                }
              ],
              "processing": [
                "逐页采集商品明细并整理日业绩"
              ],
              "destinations": [
                {
                  "system": "本地原始产物",
                  "label": "商品业绩数据"
                },
                {
                  "system": "PostgreSQL",
                  "label": "京东自营商品日指标"
                }
              ]
            },
            "entry": "collectors/jd_self_operated_product_daily.py",
            "args": [
              "--start-date",
              "{business_date}",
              "--end-date",
              "{business_date}",
              "--headless"
            ],
            "depends_on": [
              "brand"
            ],
            "run_after_failure": true,
            "timeout_seconds": 1800
          }
        ]
      },
      "provenance": {
        "source_project": "shop",
        "task_name": "京东自营昨日业绩每日采集"
      },
      "note": "每天采集计划日期前两天；品牌失败仍继续商品，任一步失败则工作流失败。"
    },
    {
      "id": "shop.douyin_price_appeal",
      "module": "shop_intelligence",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "dy",
            "name": "提交抖音待改价申诉",
            "description": "复用店铺周采集的抖音商家账号 Cookie 与 Profile，打开活动广场；待改价不为 0 时逐条进入立即改价，兼容“申诉”和“发起申诉”入口，全选 SKU，并以固定原因提交申诉。",
            "data_flow": {
              "sources": [
                {
                  "system": "抖音电商",
                  "label": "活动广场待改价商品"
                },
                {
                  "system": "浏览器状态",
                  "label": "店铺周采集账号 Cookie 与 Profile"
                }
              ],
              "processing": [
                "检查待改价数量并打开待处理列表",
                "逐条进入立即改价并兼容两种申诉入口",
                "全选 SKU，选择“对议价价格存疑 / 认为识别有误，该规格没有这么低的价格”并提交"
              ],
              "destinations": [
                {
                  "system": "抖音电商",
                  "label": "待改价议价申诉",
                  "condition": "正式执行（控制台或定时调度）"
                }
              ]
            },
            "entry": "collectors/dy_store_competitor_store_scraping.py",
            "args": [
              "--price-appeal",
              "--execute"
            ],
            "timeout_seconds": 1800,
            "replay_policy": "idempotent"
          }
        ]
      },
      "provenance": {
        "source_project": "shop",
        "task_name": "douyin-price-appeal-daily"
      },
      "note": "每天 08:00、16:00、22:00 自动执行；仍可在控制台手动执行。每个时点都会重新扫描，已申诉商品不会再次出现可申诉入口；安全预演不访问抖音也不提交申诉。"
    },
    {
      "id": "product.persona.daily",
      "module": "product_commerce",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "collect",
            "name": "采集三平台人群画像",
            "description": "并行运行天猫、抖音和京东人群画像采集器，等待全部完成并写入对应飞书多维表。",
            "data_flow": {
              "sources": [
                {
                  "system": "天猫、抖音与京东",
                  "label": "商品人群画像后台数据"
                },
                {
                  "system": "本地配置",
                  "label": "款式与目标表映射"
                }
              ],
              "processing": [
                "并行采集三平台画像",
                "统一画像维度并匹配款式"
              ],
              "destinations": [
                {
                  "system": "飞书多维表",
                  "label": "各平台商品人群画像"
                }
              ]
            },
            "entry": "run_daily_persona.py",
            "args": [
              "--date",
              "{business_date}"
            ],
            "replay_policy": "idempotent"
          }
        ]
      },
      "provenance": {
        "source_project": "product",
        "task_name": "PersonaDailyCollect"
      }
    },
    {
      "id": "product.daily",
      "module": "product_commerce",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "collect_import_analyze_publish",
            "name": "采集、入库、汇总并发布商品日报",
            "description": "按业务日期采集 ERP 与三平台数据，将原始商品日报幂等写入 PostgreSQL，完成汇总分析、导出并写入飞书日报记录。",
            "data_flow": {
              "sources": [
                {
                  "system": "ERP",
                  "label": "商品库存与销售数据"
                },
                {
                  "system": "天猫、京东与抖音",
                  "label": "商品经营指标"
                }
              ],
              "processing": [
                "按业务日期采集各数据源",
                "将三平台原始商品日报幂等写入 PostgreSQL 商品日指标表",
                "汇总并分析商品经营表现",
                "导出日报记录"
              ],
              "destinations": [
                {
                  "system": "本地日报产物",
                  "label": "商品经营汇总与导出文件"
                },
                {
                  "system": "PostgreSQL",
                  "label": "商品日经营指标"
                },
                {
                  "system": "飞书",
                  "label": "商品日报记录"
                }
              ]
            },
            "entry": "orchestrate_daily_collection.py",
            "args": [
              "--target-date",
              "{business_date}",
              "--stages",
              "collect,import,analyze,export,insert"
            ]
          }
        ]
      },
      "provenance": {
        "source_project": "product",
        "task_name": "ProductCollectorDailyCollect"
      }
    },
    {
      "id": "product.alert.daily",
      "module": "product_commerce",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "detect_and_notify",
            "name": "检测并通知销量下滑",
            "description": "检测连续销量下滑，幂等记录告警事件，并通过分析端 Hermes 机器人通知配置对象。",
            "data_flow": {
              "sources": [
                {
                  "system": "PostgreSQL",
                  "label": "商品日销量与历史趋势"
                },
                {
                  "system": "告警配置",
                  "label": "检测规则与通知对象"
                }
              ],
              "processing": [
                "检测连续销量下滑",
                "生成确定性告警说明",
                "幂等判定是否需要通知"
              ],
              "destinations": [
                {
                  "system": "PostgreSQL",
                  "label": "销量告警事件"
                },
                {
                  "system": "飞书",
                  "label": "配置对象告警通知",
                  "condition": "命中规则且未重复发送"
                }
              ]
            },
            "entry": "commands/run_alerts.py"
          }
        ]
      },
      "provenance": {
        "source_project": "product",
        "task_name": "ProductCollectorSalesAlert"
      }
    },
    {
      "id": "product.ecommerce_costs.daily",
      "module": "product_commerce",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "tmall_download",
            "name": "下载万相台商品广告报表",
            "description": "登录天猫万相台商品报表，点击下载报表，按业务日期设置日期范围并点击确定（定时默认昨天，手动可选任意日期）；从下载任务管理页下载 ZIP 并安全解压商品级 CSV。",
            "entry": "collect_tmall_wanxiang_ads.py",
            "args": [
              "--date",
              "{business_date}",
              "--headless"
            ],
            "timeout_seconds": 21600,
            "replay_policy": "idempotent",
            "data_flow": {
              "sources": [
                {
                  "system": "天猫万相台",
                  "label": "商品报表与下载任务管理",
                  "detail": "商品报表 item_promotion；点击下载报表后按业务日期设置日期范围"
                }
              ],
              "processing": [
                "复用已登录 Profile 或用运行时凭据登录",
                "优先复用同日已有报表任务",
                "仅在没有同日任务时进入商品报表点击下载报表",
                "在日期范围选择昨日并点击确定",
                "轮询生成成功任务",
                "安全解压并写入原始 CSV 与 manifest"
              ],
              "destinations": [
                {
                  "system": "本地原始产物",
                  "label": "万相台商品广告 ZIP/CSV",
                  "detail": "raw/product_commerce/tmall_wanxiang_ads/<date>/"
                }
              ]
            }
          },
          {
            "id": "tmall_import",
            "name": "导入万相台商品广告指标",
            "description": "解析解压后的商品 CSV，将花费、广告归因成交金额和投产比写入 product_daily_metrics.raw_data.tm_ad_metrics；款式按商品 ID 优先、商品名称精确包含兜底，并记录匹配方式，不覆盖经营日报字段。",
            "entry": "import_tmall_product_ads.py",
            "depends_on": [
              "tmall_download"
            ],
            "args": [
              "--date",
              "{business_date}",
              "--execute"
            ],
            "timeout_seconds": 21600,
            "replay_policy": "idempotent",
            "data_flow": {
              "sources": [
                {
                  "system": "本地原始产物",
                  "label": "万相台商品广告 CSV"
                }
              ],
              "processing": [
                "校验 CSV 编码、日期、商品主体和广告指标",
                "合并同商品同日多计划行",
                "按平台/日期/商品幂等更新广告 JSON 节点"
              ],
              "destinations": [
                {
                  "system": "PostgreSQL",
                  "label": "product_daily_metrics.raw_data.tm_ad_metrics",
                  "detail": "由 data-hub 产品生命进程读取并计算广告成交、投产比、电商费比；节点同时保存 style_name/style_match_method"
                }
              ]
            }
          },
          {
            "id": "jd_download",
            "name": "下载京东营销概况全站与非全站报表",
            "description": "登录京准通 custom-report，按业务日期先提交并下载非全站营销的 SKU 报表，再在全站营销的 SPU 维度提交并下载；下载中心接近 100 条上限时自动批量删除旧报表，定时默认昨天，控制台可选择任意历史日期。",
            "entry": "collect_jd_ad_costs.py",
            "args": [
              "--date",
              "{business_date}",
              "--headless"
            ],
            "timeout_seconds": 21600,
            "replay_policy": "idempotent",
            "data_flow": {
              "sources": [
                {
                  "system": "京准通",
                  "label": "custom-report 营销概况与下载中心",
                  "detail": "overview 页的非全站营销 SKU、全站营销 SPU 以及 download 页生成任务"
                }
              ],
              "processing": [
                "复用运行时账号 Profile、Cookie 和已生成的同日下载任务",
                "选择光影行星旗舰店霖并设置目标业务日期",
                "先提交非全站 SKU 报表，再提交全站 SPU 报表且不重新选择店铺",
                "从下载中心下载两个原始 CSV 并写入日期隔离目录"
              ],
              "destinations": [
                {
                  "system": "本地原始产物",
                  "label": "京东营销概况全站/非全站 CSV",
                  "detail": "raw/product_commerce/jd_ad_costs/<date>/，含 manifest.json"
                }
              ]
            }
          },
          {
            "id": "jd_import",
            "name": "导入京东电商费用指标",
            "description": "仅解析报表中的当前时间区块，跳过对比时间与汇总行；全站 SPU 直接入库，非全站 SKU 按 SKU 名称匹配 dim_style.jd_spus 与最新京东 SPU 商品名，歧义和未匹配行保留审计状态。",
            "entry": "import_jd_ad_costs.py",
            "depends_on": [
              "jd_download"
            ],
            "args": [
              "--date",
              "{business_date}",
              "--execute"
            ],
            "timeout_seconds": 21600,
            "replay_policy": "idempotent",
            "data_flow": {
              "sources": [
                {
                  "system": "本地原始产物",
                  "label": "京东营销概况全站/非全站 CSV"
                },
                {
                  "system": "PostgreSQL",
                  "label": "dim_style.jd_spus",
                  "detail": "款式名到京东 SPU 的业务维度映射"
                },
                {
                  "system": "PostgreSQL",
                  "label": "product_daily_metrics",
                  "detail": "最新京东 SPU 商品名，用于补充当天全站报表未返回的 SPU"
                }
              ],
              "processing": [
                "按当前时间标记过滤并校验目标业务日期覆盖",
                "保留全站 SPU 与非全站 SKU 的完整原始列和来源行号",
                "以 stat_date、广告主、报表类型、行键幂等覆盖"
              ],
              "destinations": [
                {
                  "system": "PostgreSQL",
                  "label": "jd_product_ad_daily_metrics",
                  "detail": "京东全站 SPU 和非全站 SKU 电商费用日报；SKU 的 spu_id/style_name 记录匹配结果"
                }
              ]
            }
          },
          {
            "id": "douyin_download",
            "name": "下载巨量千川全域推广商品日报",
            "description": "复用周店铺采集使用的 douyin-shop 账号保险库，打开全域投放数据的推商品/商品维度页面，按业务日期下载包含商品日明细的 Excel。",
            "entry": "collect_douyin_qianchuan_ads.py",
            "args": [
              "--date",
              "{business_date}",
              "--headless"
            ],
            "timeout_seconds": 21600,
            "replay_policy": "idempotent",
            "data_flow": {
              "sources": [
                {
                  "system": "巨量千川",
                  "label": "全域投放数据 > 推商品 > 商品维度",
                  "detail": "广告主 1813687011565580；登录态来自 douyin-shop 账号保险库"
                }
              ],
              "processing": [
                "校验广告主 ID、店铺标识和商品数据明细",
                "按业务日期下载原始 Excel",
                "重置千川错误的 worksheet A1 dimension 并校验日期覆盖"
              ],
              "destinations": [
                {
                  "system": "本地原始产物",
                  "label": "巨量千川商品推广 Excel",
                  "detail": "raw/product_commerce/douyin_qianchuan_ads/<date>/，含 manifest.json"
                }
              ]
            }
          },
          {
            "id": "douyin_import",
            "name": "导入抖音电商费用商品日报",
            "description": "跳过每个商品的全部汇总行，保留按日期展开的商品明细；商品 ID 按文本保存，以日期、广告主和商品幂等写入云端 PostgreSQL。",
            "entry": "import_douyin_qianchuan_ads.py",
            "depends_on": [
              "douyin_download"
            ],
            "args": [
              "--date",
              "{business_date}",
              "--execute"
            ],
            "timeout_seconds": 21600,
            "replay_policy": "idempotent",
            "data_flow": {
              "sources": [
                {
                  "system": "本地原始产物",
                  "label": "巨量千川商品推广 Excel"
                }
              ],
              "processing": [
                "解析展示、点击、消耗、成交、ROI、结算率和退款率",
                "跳过商品汇总行并校验目标日期完整性",
                "以 stat_date、advertiser_id、product_id 幂等覆盖"
              ],
              "destinations": [
                {
                  "system": "PostgreSQL",
                  "label": "dy_product_ad_daily_metrics",
                  "detail": "抖音商品级电商费用与推广成交日报"
                }
              ]
            }
          }
        ]
      },
      "provenance": {
        "source_project": "product",
        "task_name": "EcommerceAdvertisingCostDaily"
      },
      "note": "每天 10:00 并行采集天猫、京东、抖音业务日期前一天的电商费用；每个平台保持下载后再导入的依赖，单个平台失败不阻断其他平台；控制台手动运行可选择任意业务日期，正式调度沿用 gyxx schedule run。"
    },
    {
      "id": "product.style_analysis.interval",
      "module": "product_commerce",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "analyze",
            "name": "生成款式周期分析",
            "description": "聚合每个款式最近 3 天经营指标，直连 MiniMax 分析，创建飞书文档并保存报告链接。",
            "data_flow": {
              "sources": [
                {
                  "system": "PostgreSQL",
                  "label": "最近 3 天款式经营指标"
                },
                {
                  "system": "款式配置",
                  "label": "待分析款式与最小分析间隔"
                }
              ],
              "processing": [
                "聚合款式周期指标",
                "直连 MiniMax 生成经营分析",
                "跳过分析间隔未满足的款式"
              ],
              "destinations": [
                {
                  "system": "飞书文档",
                  "label": "款式周期分析报告"
                },
                {
                  "system": "PostgreSQL",
                  "label": "报告链接与分析状态"
                }
              ]
            },
            "entry": "analyze_style.py",
            "args": [
              "--all-styles",
              "--days",
              "3",
              "--min-interval-days",
              "3",
              "--skip-existing",
              "--end-date",
              "{business_date}"
            ]
          }
        ]
      },
      "provenance": {
        "source_project": "product",
        "task_name": "StyleAnalysisEvery3Days"
      }
    },
    {
      "id": "product.main_image.weekly",
      "module": "product_commerce",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "jd",
            "name": "采集京东主图表现",
            "description": "采集京东款式主图及曝光、点击指标，保存 JSON，并写入每款飞书主图表和 PostgreSQL。",
            "data_flow": {
              "sources": [
                {
                  "system": "京东商智",
                  "label": "款式主图、曝光与点击指标"
                },
                {
                  "system": "本地配置",
                  "label": "款式与飞书目标表映射"
                }
              ],
              "processing": [
                "采集并按款式整理京东主图表现"
              ],
              "destinations": [
                {
                  "system": "本地 JSON",
                  "label": "京东主图采集结果"
                },
                {
                  "system": "飞书",
                  "label": "各款式京东主图表"
                },
                {
                  "system": "PostgreSQL",
                  "label": "京东主图表现指标"
                }
              ]
            },
            "entry": "run_weekly_jd_main_image.py",
            "args": [
              "--date",
              "{business_date}",
              "--headless"
            ]
          },
          {
            "id": "tmall",
            "name": "采集天猫主图表现",
            "description": "采集天猫万相台款式主图聚合指标，保存 JSON，并写入每款飞书主图表和 PostgreSQL。",
            "data_flow": {
              "sources": [
                {
                  "system": "天猫万相台",
                  "label": "款式主图聚合表现"
                },
                {
                  "system": "本地配置",
                  "label": "款式与飞书目标表映射"
                }
              ],
              "processing": [
                "采集并按款式整理天猫主图表现"
              ],
              "destinations": [
                {
                  "system": "本地 JSON",
                  "label": "天猫主图采集结果"
                },
                {
                  "system": "飞书",
                  "label": "各款式天猫主图表"
                },
                {
                  "system": "PostgreSQL",
                  "label": "天猫主图表现指标"
                }
              ]
            },
            "entry": "run_weekly_main_image.py",
            "args": [
              "--date",
              "{business_date}",
              "--headless"
            ]
          }
        ]
      },
      "provenance": {
        "source_project": "product",
        "task_name": "WeeklyJdAndTmallMainImageCollect"
      },
      "note": "每周日 08:30 并行执行京东与天猫万相主图采集；两个平台分别完成 PG 入库和飞书插入，资源、状态及失败互不影响。任一平台失败时另一个仍继续，工作流最终报告具体的平台错误。"
    },
    {
      "id": "product.sales_sheet.daily",
      "module": "product_commerce",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "sync",
            "name": "刷新商品月度销量表",
            "description": "全量读取预算产品与款式主表，不按预算月份过滤款式；所选月份只控制聚水潭查询区间和飞书目标月份页。",
            "replay_policy": "idempotent",
            "data_flow": {
              "sources": [
                {
                  "system": "飞书多维表格",
                  "label": "全部预算产品、目标销量、款式名与 ERP 款式编码"
                },
                {
                  "system": "聚水潭商品主体分析",
                  "label": "所选自然月全渠道自定义销量与自定义退货量"
                }
              ],
              "processing": [
                "合并预算 Base 与款式主表的全量款式并匹配 ERP 编码",
                "按所选月月初到月末逐 ERP 编码生成一次全渠道报表",
                "累加全部商品行和同款全部 ERP 编码并计算退货率、实销和目标达成率"
              ],
              "destinations": [
                {
                  "system": "飞书电子表格",
                  "label": "当月产品销量页",
                  "condition": "正式执行"
                }
              ]
            },
            "entry": "sync_monthly_sales_sheet.py",
            "args": [
              "--month",
              "{business_date}",
              "--execute",
              "--allow-missing-erp-as-zero"
            ]
          }
        ]
      },
      "provenance": {
        "source_project": "product",
        "task_name": "ProductMonthlySalesSheetDailySync"
      },
      "note": "同名月份页幂等覆盖；月份只控制聚水潭自然月区间与目标页，产品全集不按预算月份筛选；抓取和校验全部 ERP 报表成功后才清空写入；无 ERP 编码产品按 0 写入；缺页时复制最近历史月份页继承格式。"
    },
    {
      "id": "product.erp_all_shop_daily",
      "module": "product_commerce",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "collect",
            "name": "采集聚水潭全店铺款式日报",
            "description": "在聚水潭商品主题分析中全选全部店铺，查询业务日期当天所有 ERP 款式编码的自定义销量和自定义退货量，并幂等写入 PostgreSQL。",
            "replay_policy": "idempotent",
            "data_flow": {
              "sources": [
                {
                  "system": "款式主配置",
                  "label": "全部款式及 ERP 款式编码"
                },
                {
                  "system": "聚水潭商品主题分析",
                  "label": "业务日期当天全店铺自定义销量与自定义退货量"
                }
              ],
              "processing": [
                "全选全部店铺并一次提交全部 ERP 款式编码",
                "按款式编码汇总商品行销量和退货量",
                "保存当日原始证据并幂等覆盖数据库记录"
              ],
              "destinations": [
                {
                  "system": "本地原始证据",
                  "label": "聚水潭全店铺款式日报 JSON"
                },
                {
                  "system": "PostgreSQL",
                  "label": "全店铺款式日销量与退货量",
                  "condition": "正式执行"
                }
              ]
            },
            "entry": "backfill_erp_all_shop_daily.py",
            "args": [
              "--from",
              "{business_date}",
              "--to",
              "{business_date}",
              "--execute",
              "--force"
            ],
            "timeout_seconds": 21600
          }
        ]
      },
      "provenance": {
        "source_project": "product",
        "task_name": "JushuitanAllShopStyleDailyCollect"
      },
      "note": "每天自动采集昨天数据；控制台可手动选择任意补采日期并幂等覆盖该日。全选聚水潭全部店铺，不拆京东、抖音、天猫；每次只采集一个业务日期。"
    },
    {
      "id": "product.video_upload",
      "module": "product_commerce",
      "trigger": "manual",
      "execution": {
        "steps": [
          {
            "id": "upload",
            "name": "上传所选天猫店铺短视频",
            "description": "先按前端所选店铺扫描飞书并筛选符合路由的视频附件，再按视频 file_token、目标账号和飞书记录写入 PostgreSQL 附件级发布账本；仅在存在可领取附件时登录对应光合账号上传，已发布附件自动跳过。",
            "replay_policy": "idempotent",
            "data_flow": {
              "sources": [
                {
                  "system": "飞书多维表格",
                  "label": "所选店铺待上传短视频、款式、品牌和性别信息"
                },
                {
                  "system": "PostgreSQL",
                  "label": "天猫商品 ID、商品标题与附件级发布账本"
                },
                {
                  "system": "淘宝光合浏览器状态",
                  "label": "旗舰店与箱包店独立账号和 Profile"
                }
              ],
              "processing": [
                "按前端所选旗舰店或箱包店规则筛选飞书记录并拆分视频附件",
                "按视频 file_token、目标账号和飞书记录原子领取未上传附件",
                "确认存在可上传附件后登录所选店铺账号",
                "生成标题、关联天猫商品并发布；明确成功后写 published，提交后结果不明写 ambiguous"
              ],
              "destinations": [
                {
                  "system": "淘宝光合",
                  "label": "前端所选天猫店铺短视频",
                  "condition": "正式执行且存在可上传附件"
                },
                {
                  "system": "PostgreSQL",
                  "label": "附件发布状态、尝试记录与确认凭据",
                  "condition": "正式执行"
                },
                {
                  "system": "飞书多维表格",
                  "label": "天猫上传状态",
                  "condition": "旗舰店记录全部附件发布成功"
                }
              ]
            },
            "entry": "upload_video_to_guanghe.py",
            "args": [
              "--execute",
              "--keep-browser-open-on-failure"
            ],
            "timeout_seconds": 21600
          }
        ]
      },
      "provenance": {
        "source_project": "product",
        "task_name": "TmallGuangheVideoUpload"
      },
      "topic_config": {
        "default_keyword": "我的夏日焕新清单",
        "label": "天猫话题关键词",
        "hint": "输入完整话题或关键词；例如输入“秋上新”也会匹配并选中“秋上新开拍了”。"
      },
      "note": "前端手动选择旗舰店或箱包店后执行；脚本先扫描飞书并按所选店铺规则筛选，只有数据库存在可领取附件时才登录对应账号上传。允许同一业务日期重复扫描新增附件，PostgreSQL 附件级账本阻止已发布或结果不明的附件自动重发；框架安全预演不会启动上传脚本。"
    },
    {
      "id": "product.jd_video_upload",
      "module": "product_commerce",
      "trigger": "manual",
      "execution": {
        "steps": [
          {
            "id": "upload",
            "name": "扫描新增视频并发布到京东",
            "description": "每次点击执行都会从飞书视图中的凌云air基线记录起扫描到视图末尾，不依赖日期字段；以 record_id + 视频 file_token 为幂等键，只发布新增或安全可重试的单款视频。无飞书封面时保留京东从视频生成的默认封面。",
            "replay_policy": "idempotent",
            "data_flow": {
              "sources": [
                {
                  "system": "飞书多维表格",
                  "label": "凌云air基线之后的代拍产品、视频与可选封面附件；日期可为空"
                },
                {
                  "system": "PostgreSQL",
                  "label": "京东商品标题与附件级发布账本"
                },
                {
                  "system": "京麦浏览器状态",
                  "label": "独立 JD 视频发布 Profile、Cookie 与 Storage State"
                }
              ],
              "processing": [
                "每次执行按飞书视图顺序从固定 record_id 锚点扫描到末尾，识别新增视频 file_token",
                "组合款在下载素材前直接跳过；单款有封面时上传飞书封面，无封面时保留京东默认视频封面",
                "按款式标题模糊匹配并用直连多模态大模型判断包体颜色，多选最多10个同款同色商品",
                "选择相关话题和标签后逐条发布；已入账附件由 PostgreSQL 唯一键自动防重"
              ],
              "destinations": [
                {
                  "system": "京麦内容中心",
                  "label": "京东旗舰店短视频",
                  "condition": "正式执行且款式与包体颜色匹配"
                },
                {
                  "system": "PostgreSQL",
                  "label": "视频发布状态、尝试记录与确认凭据",
                  "condition": "正式执行"
                }
              ]
            },
            "entry": "upload_video_to_jd.py",
            "args": [
              "--anchor-record-id",
              "recvrXTRWWFXeJ",
              "--manual-login",
              "--execute"
            ],
            "timeout_seconds": 21600
          }
        ]
      },
      "provenance": {
        "source_project": "product",
        "task_name": "JdVideoUpload"
      },
      "note": "前端手动幂等工作流；每次点击从凌云air基线扫描到视图末尾，新增行或旧行新增的视频 file_token 会入账，已发布 token 不会重复发布。安全验证出现时在有头浏览器中人工完成后脚本自动继续。"
    },
    {
      "id": "product.tmall_baibu_apply",
      "module": "product_commerce",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "old_chain_bag",
            "name": "导入老天猫超链箱包模板",
            "description": "用 Feishu user 身份下载老天猫超链箱包模板，打开文档指定报名入口，校验光影行星旗舰店身份后提交商品批量导入。",
            "has_hyperlink": true,
            "args": [
              "--execute"
            ],
            "replay_policy": "repeatable",
            "data_flow": {
              "sources": [
                {
                  "system": "飞书电子表格",
                  "label": "老天猫·超链·箱包商品导入模板"
                },
                {
                  "system": "淘宝浏览器状态",
                  "label": "光影行星旗舰店独立账号登录态"
                }
              ],
              "processing": [
                "以 user 身份下载文档指定模板",
                "打开文档指定报名链接并校验店铺身份",
                "提交商品批量导入并等待页面结果"
              ],
              "destinations": [
                {
                  "system": "天猫百亿补贴",
                  "label": "老天猫·超链·箱包商品导入"
                }
              ]
            },
            "entry": "tmall_baibu_apply_old_chain_bag.py",
            "timeout_seconds": 21600
          },
          {
            "id": "old_all_bag",
            "name": "导入老天猫全渠道箱包模板",
            "description": "用 Feishu user 身份下载老天猫全渠道箱包模板，打开文档指定报名入口，校验光影行星旗舰店身份后提交商品批量导入。",
            "depends_on": [
              "old_chain_bag"
            ],
            "run_after_failure": true,
            "args": [
              "--execute"
            ],
            "replay_policy": "repeatable",
            "data_flow": {
              "sources": [
                {
                  "system": "飞书电子表格",
                  "label": "老天猫·全渠道·箱包商品导入模板"
                },
                {
                  "system": "淘宝浏览器状态",
                  "label": "光影行星旗舰店独立账号登录态"
                }
              ],
              "processing": [
                "以 user 身份下载文档指定模板",
                "打开文档指定报名链接并校验店铺身份",
                "提交商品批量导入并等待页面结果"
              ],
              "destinations": [
                {
                  "system": "天猫百亿补贴",
                  "label": "老天猫·全渠道·箱包商品导入"
                }
              ]
            },
            "entry": "tmall_baibu_apply_old_all_bag.py",
            "timeout_seconds": 21600
          },
          {
            "id": "old_all_3c",
            "name": "导入老天猫全渠道 3C 模板",
            "description": "用 Feishu user 身份下载老天猫全渠道 3C 模板，打开文档指定报名入口，校验光影行星旗舰店身份后提交商品批量导入；导入完成后进入草稿，逐个点击完善商品、选择否并下一步，直到草稿清空。",
            "depends_on": [
              "old_all_bag"
            ],
            "run_after_failure": true,
            "args": [
              "--execute"
            ],
            "replay_policy": "repeatable",
            "data_flow": {
              "sources": [
                {
                  "system": "飞书电子表格",
                  "label": "老天猫·全渠道·3C 商品导入模板"
                },
                {
                  "system": "淘宝浏览器状态",
                  "label": "光影行星旗舰店独立账号登录态"
                }
              ],
              "processing": [
                "以 user 身份下载文档指定模板",
                "打开文档指定报名链接并校验店铺身份",
                "提交商品批量导入并等待页面结果",
                "进入草稿逐个完善商品，选择否并点击下一步，直到草稿清空"
              ],
              "destinations": [
                {
                  "system": "天猫百亿补贴",
                  "label": "老天猫·全渠道·3C 商品导入"
                }
              ]
            },
            "entry": "tmall_baibu_apply_old_all_3c.py",
            "timeout_seconds": 21600
          },
          {
            "id": "old_chain_3c",
            "name": "导入老天猫超链 3C 模板",
            "description": "用 Feishu user 身份下载老天猫超链 3C 模板，打开文档指定报名入口，校验光影行星旗舰店身份后提交商品批量导入。",
            "has_hyperlink": true,
            "depends_on": [
              "old_all_3c"
            ],
            "run_after_failure": true,
            "args": [
              "--execute"
            ],
            "replay_policy": "repeatable",
            "data_flow": {
              "sources": [
                {
                  "system": "飞书电子表格",
                  "label": "老天猫·超链·3C 商品导入模板"
                },
                {
                  "system": "淘宝浏览器状态",
                  "label": "光影行星旗舰店独立账号登录态"
                }
              ],
              "processing": [
                "以 user 身份下载文档指定模板",
                "打开文档指定报名链接并校验店铺身份",
                "提交商品批量导入并等待页面结果"
              ],
              "destinations": [
                {
                  "system": "天猫百亿补贴",
                  "label": "老天猫·超链·3C 商品导入"
                }
              ]
            },
            "entry": "tmall_baibu_apply_old_chain_3c.py",
            "timeout_seconds": 21600
          },
          {
            "id": "new_chain_bag",
            "name": "导入新天猫超链箱包模板",
            "description": "用 Feishu user 身份下载新天猫超链箱包模板，打开文档指定报名入口，校验光影行星鑫华达专卖店身份后提交商品批量导入。",
            "has_hyperlink": true,
            "depends_on": [
              "old_chain_3c"
            ],
            "run_after_failure": true,
            "args": [
              "--execute"
            ],
            "replay_policy": "repeatable",
            "data_flow": {
              "sources": [
                {
                  "system": "飞书电子表格",
                  "label": "新天猫·超链·箱包商品导入模板"
                },
                {
                  "system": "淘宝浏览器状态",
                  "label": "光影行星鑫华达专卖店独立账号登录态"
                }
              ],
              "processing": [
                "以 user 身份下载文档指定模板",
                "打开文档指定报名链接并校验店铺身份",
                "提交商品批量导入并等待页面结果"
              ],
              "destinations": [
                {
                  "system": "天猫百亿补贴",
                  "label": "新天猫·超链·箱包商品导入"
                }
              ]
            },
            "entry": "tmall_baibu_apply_new_chain_bag.py",
            "timeout_seconds": 21600
          },
          {
            "id": "new_all_bag",
            "name": "导入新天猫全渠道箱包模板",
            "description": "用 Feishu user 身份下载新天猫全渠道箱包模板，打开文档指定报名入口，校验光影行星鑫华达专卖店身份后提交商品批量导入。",
            "depends_on": [
              "new_chain_bag"
            ],
            "run_after_failure": true,
            "args": [
              "--execute"
            ],
            "replay_policy": "repeatable",
            "data_flow": {
              "sources": [
                {
                  "system": "飞书电子表格",
                  "label": "新天猫·全渠道·箱包商品导入模板"
                },
                {
                  "system": "淘宝浏览器状态",
                  "label": "光影行星鑫华达专卖店独立账号登录态"
                }
              ],
              "processing": [
                "以 user 身份下载文档指定模板",
                "打开文档指定报名链接并校验店铺身份",
                "提交商品批量导入并等待页面结果"
              ],
              "destinations": [
                {
                  "system": "天猫百亿补贴",
                  "label": "新天猫·全渠道·箱包商品导入"
                }
              ]
            },
            "entry": "tmall_baibu_apply_new_all_bag.py",
            "timeout_seconds": 21600
          }
        ]
      },
      "provenance": {
        "source_project": "product",
        "task_name": "TmallBaibuBatchApplyHourly"
      },
      "note": "默认按每小时整点调度，仅导入三个不带超链的普通入口；其中老天猫全渠道 3C 入口在导入完成后会逐个完善草稿商品并清空草稿；前端仍可切换为导入全部六个入口并手动执行，且同样经过该后置流程。每次运行都会重新从飞书下载模板并提交，不按业务日期分组或防重。四个老天猫入口固定使用光影行星旗舰店，两个新天猫入口固定使用光影行星鑫华达专卖店；选中的入口串行执行且后续步骤允许在前一步失败后继续，模板与报名链接均来自飞书清单；每个入口使用独立 Profile、Cookie/Storage State 和 CDP 端口，脚本 finally 必须关闭自己的浏览器。"
    },
    {
      "id": "supply.purchase_confirmation.daily",
      "module": "supply_chain",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "collect_analyze_notify",
            "name": "生成采购确认通知",
            "description": "从 ERP 识别库存缺口商品并检查协议到货时间，写入 PostgreSQL 后发送采购确认通知。",
            "replay_policy": "idempotent",
            "data_flow": {
              "sources": [
                {
                  "system": "ERP",
                  "label": "商品库存、在途与采购数据"
                },
                {
                  "system": "采购配置",
                  "label": "协议到货时间与确认规则"
                }
              ],
              "processing": [
                "识别库存缺口商品",
                "核对协议到货时间并生成确认项"
              ],
              "destinations": [
                {
                  "system": "PostgreSQL",
                  "label": "采购确认处理记录"
                },
                {
                  "system": "飞书",
                  "label": "采购确认通知"
                }
              ]
            },
            "entry": "run.py",
            "args": [
              "mcp-run",
              "purchase-confirmation"
            ]
          }
        ]
      },
      "provenance": {
        "source_project": "supply",
        "task_name": "auto-flow-purchase-confirmation"
      }
    },
    {
      "id": "supply.replenishment.weekly",
      "module": "supply_chain",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "collect_analyze_notify",
            "name": "生成并发送补货建议",
            "description": "导出 ERP 库存并计算补货量，写入 PostgreSQL 与飞书多维表，最后发送补货结果通知。",
            "replay_policy": "idempotent",
            "data_flow": {
              "sources": [
                {
                  "system": "ERP",
                  "label": "库存、销售与商品数据"
                },
                {
                  "system": "补货配置",
                  "label": "SKU 范围与补货规则"
                }
              ],
              "processing": [
                "导出并规范化库存数据",
                "按规则计算建议补货量",
                "生成补货批次结果"
              ],
              "destinations": [
                {
                  "system": "PostgreSQL",
                  "label": "补货批次与建议明细"
                },
                {
                  "system": "飞书多维表",
                  "label": "补货建议记录"
                },
                {
                  "system": "飞书",
                  "label": "补货结果通知"
                }
              ]
            },
            "entry": "run.py",
            "args": [
              "mcp-run",
              "replenishment"
            ]
          }
        ]
      },
      "provenance": {
        "source_project": "supply",
        "task_name": "auto-flow-replenishment"
      }
    },
    {
      "id": "supply.replenishment_alert.daily",
      "module": "supply_chain",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "collect_analyze_notify",
            "name": "生成库存阈值预警",
            "description": "依据配置 SKU 和库存阈值生成预警并写入 PostgreSQL，仅在存在预警时发送业务通知。",
            "replay_policy": "idempotent",
            "data_flow": {
              "sources": [
                {
                  "system": "ERP",
                  "label": "SKU 当前库存"
                },
                {
                  "system": "预警配置",
                  "label": "监控 SKU 与库存阈值"
                }
              ],
              "processing": [
                "比较当前库存与配置阈值",
                "生成需要处理的库存预警"
              ],
              "destinations": [
                {
                  "system": "PostgreSQL",
                  "label": "库存阈值预警记录"
                },
                {
                  "system": "飞书",
                  "label": "库存预警通知",
                  "condition": "存在命中阈值的 SKU"
                }
              ]
            },
            "entry": "run.py",
            "args": [
              "mcp-run",
              "replenishment-alert"
            ]
          }
        ]
      },
      "provenance": {
        "source_project": "supply",
        "task_name": "auto-flow-replenishment-alert"
      }
    },
    {
      "id": "supply.replenishment_arrival_sync.daily",
      "module": "supply_chain",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "sync_queue",
            "name": "同步补货建议预计到货时间",
            "description": "读取 erp_replenishment_arrival_sync 待处理队列，使用聚水潭采购单页面按商品编码更新预计到货时间，并逐条回写同步状态。",
            "replay_policy": "idempotent",
            "data_flow": {
              "sources": [
                {
                  "system": "PostgreSQL",
                  "label": "erp_replenishment_arrival_sync 到货时间同步队列"
                },
                {
                  "system": "聚水潭",
                  "label": "采购单管理页面与登录态"
                }
              ],
              "processing": [
                "按租户和 SKU 原子认领 pending/failed 队列行",
                "在聚水潭采购单明细中更新协议到货日期",
                "按目标时间版本回写 success 或 failed 状态"
              ],
              "destinations": [
                {
                  "system": "聚水潭",
                  "label": "采购单明细协议到货日期"
                },
                {
                  "system": "PostgreSQL",
                  "label": "同步状态、更新时间、尝试次数和失败原因"
                }
              ]
            },
            "entry": "orchestrator/scripts/collect_replenishment_arrival_sync.py"
          }
        ]
      },
      "provenance": {
        "source_project": "supply",
        "task_name": "auto-flow-replenishment-arrival-sync"
      },
      "note": "队列表为空时成功结束；失败行保留 failed 状态，下一次调度自动重试。默认租户为 1，可用 GYXX_ERP_TENANT_ID 覆盖。"
    },
    {
      "id": "product.market_rank",
      "module": "product_commerce",
      "trigger": "scheduled",
      "execution": {
        "steps": [
          {
            "id": "collect_analyze_publish",
            "name": "采集并发布三平台市场排行",
            "description": "并行采集天猫、京东和抖音市场排行，汇总平台结果并发送飞书报告链接。",
            "data_flow": {
              "sources": [
                {
                  "system": "天猫、京东与抖音",
                  "label": "市场商品排行与表现数据"
                },
                {
                  "system": "本地配置",
                  "label": "类目、关键词与采集范围"
                }
              ],
              "processing": [
                "并行采集三平台排行",
                "汇总平台结果并生成市场分析",
                "归档报告并准备通知"
              ],
              "destinations": [
                {
                  "system": "本地报告产物",
                  "label": "三平台市场排行结果"
                },
                {
                  "system": "飞书",
                  "label": "市场排行报告链接与通知"
                }
              ]
            },
            "entry": "orchestrate_market_rank_collection.py",
            "args": [
              "--report-date",
              "{business_date}"
            ]
          }
        ]
      },
      "provenance": {
        "source_project": "product",
        "task_name": "三平台市场排行月采集"
      },
      "note": "每月 1 日 10:00 由项目内 Python 调度器触发。"
    }
  ]
}