fix: 3个逻辑/UI Bug修复
Bug1 — 任务总数与进度条不匹配: tasks_total 从全库历史总数改为 PENDING+WIP+COMPLETED(时段)+REJECTED(时段) 确保进度条4段之和 = 显示的总数, 不再出现11≠9的缺口 Bug2 — 在制品排序混乱: 移除DB层order_by, 改为Python统一按duration_hours降序 无视status, 纯数值排序, 滞留最久排最前 取limit*2条后在Python中排序再截断 Bug3 — 留言板产品显示割裂: [Tag:SN] 物料名 → 物料名 (SN: A1B2C3D4...) 物料名加粗, SN等宽灰色, 阅读更顺畅
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@ -78,8 +78,7 @@ async def get_dashboard_stats(
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p_progress = await db.scalar(select(func.count(Product.id)).where(Product.status == "in_progress"))
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p_done = await db.scalar(select(func.count(Product.id)).where(Product.status == "completed"))
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# ── 任务总数 & 实时快照(PENDING/WIP/返工 — 永远不过滤) ──
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t_total = await db.scalar(select(func.count(Task.id)))
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# ── 任务实时快照(PENDING/WIP/返工 — 永远不过滤) ──
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t_pending = await db.scalar(select(func.count(Task.id)).where(Task.status == TASK_STATUS_PENDING))
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t_progress = await db.scalar(select(func.count(Task.id)).where(Task.status == TASK_STATUS_WIP))
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t_rework = await db.scalar(select(func.count(Task.id)).where(Task.is_rework.is_(True)))
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@ -96,6 +95,9 @@ async def get_dashboard_stats(
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t_done = await db.scalar(t_done_q)
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t_rejected = await db.scalar(t_rej_q)
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# ── 任务总数 = 实时快照段 + 时间过滤段(确保进度条段总和=总数) ──
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t_total = (t_pending or 0) + (t_progress or 0) + (t_done or 0) + (t_rejected or 0)
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# ── 通知 & 留言(实时快照) ──
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unread_notif = await db.scalar(
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select(func.count(Notification.id)).where(Notification.is_read.is_(False))
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@ -131,8 +133,7 @@ async def get_wip_tasks(db: AsyncSession, limit: int = 20) -> list[WipTask]:
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select(Task, Product.serial_number)
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.join(Product, Task.product_id == Product.id)
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.where(Task.status.in_([TASK_STATUS_PENDING, TASK_STATUS_WIP]))
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.order_by(Task.received_at.asc().nulls_last(), Task.created_at.asc())
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.limit(limit)
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.limit(limit * 2) # 多取一些,后面 Python 统一排序
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)
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result = await db.execute(stmt)
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rows = result.all()
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@ -167,7 +168,9 @@ async def get_wip_tasks(db: AsyncSession, limit: int = 20) -> list[WipTask]:
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received_at=recv_str,
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duration_hours=hours,
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))
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return wip_list
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# 统一按滞留时间降序排列(无视 status,纯数值排序)
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wip_list.sort(key=lambda t: t.duration_hours, reverse=True)
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return wip_list[:limit]
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# ============================================================
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