{"chunk_id": "nas-sk:82287034f65a:a5ae263d:0001:354f71466523d372", "chunk_seq": 1, "created_at": "2026-05-26T09:25:01+08:00", "heading": "data-liangzhu-weekly-store-reporting", "source_mtime": 1779758499, "source_path": "/Users/bot1/Volumes/root_for_ai/00_共享区/共享知识库/原始资料/08_机器人协作经验库/远程仓库任务映射/data-liangzhu-weekly-store-reporting.md", "source_rel": "08_机器人协作经验库/远程仓库任务映射/data-liangzhu-weekly-store-reporting.md", "source_sha256": "82287034f65a6576ab45d726b2f48514e9fcaa034d88035a73cb3d1c8888531b", "text": "# data-liangzhu-weekly-store-reporting\n\n- Repo URL: http://192.168.1.4:3000/qianliyun/data-liangzhu-weekly-store-reporting\n- Local path: /Users/bot1/AI Work/02_projects/active/data-liangzhu-weekly-store-reporting\n- Machine/Profile: bot1 / operations\n- Owner/Requester: operations user\n- Task type: ecommerce-data / weekly-reporting / store-level-retention\n- Status: active\n- Last updated: 2026-05-26 09:21:26 CST\n- Latest commit: 5a2c44e chore: initialize weekly store reporting repository\n- Related bots/profiles: operations", "title": "data-liangzhu-weekly-store-reporting"}
{"chunk_id": "nas-sk:82287034f65a:a5ae263d:0002:e4759f58ca449a0f", "chunk_seq": 2, "created_at": "2026-05-26T09:25:01+08:00", "heading": "Purpose", "source_mtime": 1779758499, "source_path": "/Users/bot1/Volumes/root_for_ai/00_共享区/共享知识库/原始资料/08_机器人协作经验库/远程仓库任务映射/data-liangzhu-weekly-store-reporting.md", "source_rel": "08_机器人协作经验库/远程仓库任务映射/data-liangzhu-weekly-store-reporting.md", "source_sha256": "82287034f65a6576ab45d726b2f48514e9fcaa034d88035a73cb3d1c8888531b", "text": "## Purpose\n良渚每周周报的淘宝、天猫、京东三店店铺层级原始报表、清洗汇总数据和周报底稿留存项目。", "title": "data-liangzhu-weekly-store-reporting"}
{"chunk_id": "nas-sk:82287034f65a:a5ae263d:0003:531dc39a18901200", "chunk_seq": 3, "created_at": "2026-05-26T09:25:01+08:00", "heading": "Current authoritative description", "source_mtime": 1779758499, "source_path": "/Users/bot1/Volumes/root_for_ai/00_共享区/共享知识库/原始资料/08_机器人协作经验库/远程仓库任务映射/data-liangzhu-weekly-store-reporting.md", "source_rel": "08_机器人协作经验库/远程仓库任务映射/data-liangzhu-weekly-store-reporting.md", "source_sha256": "82287034f65a6576ab45d726b2f48514e9fcaa034d88035a73cb3d1c8888531b", "text": "## Current authoritative description\nThe repo root `REPO_DESCRIPTION.md` is the source of truth for detailed evolving state.", "title": "data-liangzhu-weekly-store-reporting"}
{"chunk_id": "nas-sk:82287034f65a:a5ae263d:0004:1cea32ce27a36ac9", "chunk_seq": 4, "created_at": "2026-05-26T09:25:01+08:00", "heading": "Important boundary", "source_mtime": 1779758499, "source_path": "/Users/bot1/Volumes/root_for_ai/00_共享区/共享知识库/原始资料/08_机器人协作经验库/远程仓库任务映射/data-liangzhu-weekly-store-reporting.md", "source_rel": "08_机器人协作经验库/远程仓库任务映射/data-liangzhu-weekly-store-reporting.md", "source_sha256": "82287034f65a6576ab45d726b2f48514e9fcaa034d88035a73cb3d1c8888531b", "text": "## Important boundary\n只留存店铺层级数据，不留存商品/SKU层级数据。商品明细、SKU库存、在售商品、仓库盘点、重复铺货清单不作为周报留存源。", "title": "data-liangzhu-weekly-store-reporting"}
{"chunk_id": "nas-sk:82287034f65a:a5ae263d:0005:99a67c5e4b44b941", "chunk_seq": 5, "created_at": "2026-05-26T09:25:01+08:00", "heading": "Current state", "source_mtime": 1779758499, "source_path": "/Users/bot1/Volumes/root_for_ai/00_共享区/共享知识库/原始资料/08_机器人协作经验库/远程仓库任务映射/data-liangzhu-weekly-store-reporting.md", "source_rel": "08_机器人协作经验库/远程仓库任务映射/data-liangzhu-weekly-store-reporting.md", "source_sha256": "82287034f65a6576ab45d726b2f48514e9fcaa034d88035a73cb3d1c8888531b", "text": "## Current state\n已建立项目口径和目录；截至建库时，当前本机/缓存/NAS关键词检索未找到已留存的淘宝、天猫、京东店铺层级原始报表。", "title": "data-liangzhu-weekly-store-reporting"}
{"chunk_id": "nas-sk:82287034f65a:a5ae263d:0006:3ac79d2b681fb3ae", "chunk_seq": 6, "created_at": "2026-05-26T09:25:01+08:00", "heading": "Search keywords", "source_mtime": 1779758499, "source_path": "/Users/bot1/Volumes/root_for_ai/00_共享区/共享知识库/原始资料/08_机器人协作经验库/远程仓库任务映射/data-liangzhu-weekly-store-reporting.md", "source_rel": "08_机器人协作经验库/远程仓库任务映射/data-liangzhu-weekly-store-reporting.md", "source_sha256": "82287034f65a6576ab45d726b2f48514e9fcaa034d88035a73cb3d1c8888531b", "text": "## Search keywords\n良渚, 周报, 淘宝, 天猫, 京东, 店铺数据, 原始报表, 汇总留存, 运营数据, 三店", "title": "data-liangzhu-weekly-store-reporting"}