feat: 当前位置100%动态主干化—与宏观状态同源,只跟主分支,静态字段仅兜底
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@ -392,10 +392,6 @@ async def get_all_products(
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result = await db.execute(stmt)
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products = result.scalars().all()
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# 批量查询当前位置对应的真实姓名
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location_ids = [p.current_location_id for p in products if p.current_location_id]
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name_map = _lookup_display_names(location_ids)
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# 🔧 批量预计算 macro_status:一次性查出所有产品关联的任务状态
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product_ids = [p.id for p in products]
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macro_map: dict[uuid.UUID, str] = {}
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@ -420,52 +416,55 @@ async def get_all_products(
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for row in task_result:
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macro_map[row[0]] = prio_to_status.get(row[1], None)
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# 🔧 动态宏观状态:只从主干任务中获取最高优先级任务的 task_name
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# 🔧 动态主干状态+位置:只从主干任务中获取最高优先级任务的 task_name + assignee_id
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overall_names: dict[uuid.UUID, str] = {}
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main_assignees: dict[uuid.UUID, str] = {}
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if product_ids:
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from sqlalchemy import func as sa_func2, case as sa_case2
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# 先找每个产品中优先级最高的主干任务ID
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main_prio_stmt = (
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select(
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Task.product_id,
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sa_func2.max(sa_case2(
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(Task.status == "WIP", 3),
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(Task.status == "PENDING", 2),
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(Task.status == "COMPLETED", 1),
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else_=0,
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)).label("prio"),
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)
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.where(
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Task.product_id.in_(product_ids),
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sa_func2.or_(
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Task.parent_task_id.is_(None),
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Task.task_type.in_(["TRANSFER", "RECOVERY"]),
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),
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)
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.group_by(Task.product_id)
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).subquery()
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# 再 join 回去拿 task_name
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name_stmt = (
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select(Task.product_id, Task.task_name)
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.join(main_prio_stmt, sa_func2.and_(
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Task.product_id == main_prio_stmt.c.product_id,
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sa_case2(
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(Task.status == "WIP", 3),
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(Task.status == "PENDING", 2),
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(Task.status == "COMPLETED", 1),
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else_=0,
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) == main_prio_stmt.c.prio,
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sa_func2.or_(
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Task.parent_task_id.is_(None),
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Task.task_type.in_(["TRANSFER", "RECOVERY"]),
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),
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))
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.order_by(Task.created_at.desc())
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.limit(1)
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main_where = sa_func2.and_(
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Task.product_id.in_(product_ids),
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sa_func2.or_(
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Task.parent_task_id.is_(None),
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Task.task_type.in_(["TRANSFER", "RECOVERY"]),
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),
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)
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name_result = await db.execute(name_stmt)
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for row in name_result:
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overall_names[row[0]] = row[1]
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prio_expr = sa_case2(
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(Task.status == "WIP", 3),
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(Task.status == "PENDING", 2),
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(Task.status == "COMPLETED", 1),
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else_=0,
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)
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# 子查询:每个产品最高优先级主干任务
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max_prio = (
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select(Task.product_id, sa_func2.max(prio_expr).label("prio"))
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.where(main_where)
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.group_by(Task.product_id)
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).subquery("mp")
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# JOIN 回 tasks 拿 task_name + assignee_id(同优先级取最新创建的)
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main_stmt = (
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select(Task.product_id, Task.task_name, Task.assignee_id)
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.join(max_prio, sa_func2.and_(
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Task.product_id == max_prio.c.product_id,
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prio_expr == max_prio.c.prio,
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))
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.where(main_where)
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.order_by(Task.product_id, Task.created_at.desc())
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.distinct(Task.product_id) # PostgreSQL DISTINCT ON
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)
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main_result = await db.execute(main_stmt)
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for row in main_result:
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pid, tname, assignee = row[0], row[1], row[2]
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overall_names[pid] = tname
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if assignee: main_assignees[pid] = assignee
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# 🔧 动态主干的 assignee_id → 查中文姓名
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dynamic_location_ids = list(main_assignees.values())
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dynamic_name_map = _lookup_display_names(dynamic_location_ids)
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# 🔧 合并:静态位置姓名(兜底)+ 动态主干位置姓名(优先)
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static_location_ids = [p.current_location_id for p in products if p.current_location_id]
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merged_location_ids = list(set(static_location_ids + dynamic_location_ids))
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merged_name_map = _lookup_display_names(merged_location_ids)
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return [
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ProductResponse(
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@ -480,14 +479,19 @@ async def get_all_products(
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category=p.category,
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material_type=p.material_type,
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parent_product_id=p.parent_product_id,
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current_location_id=p.current_location_id,
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# 🔧 当前位置:动态主干assignee优先 → 静态兜底
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current_location_id=(
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main_assignees.get(p.id) # 动态主干
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or p.current_location_id # 静态兜底
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),
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current_location_name=(
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"仓库" if p.current_location_id == "virtual_warehouse"
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else name_map.get(p.current_location_id) if p.current_location_id
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"仓库" if (main_assignees.get(p.id) or p.current_location_id) == "virtual_warehouse"
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else dynamic_name_map.get(main_assignees.get(p.id, ""))
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or merged_name_map.get(p.current_location_id) if p.current_location_id
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else None
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),
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macro_status=macro_map.get(p.id) or p.status,
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overall_status=overall_names.get(p.id) or p.overall_status, # 🔧 动态主干任务名优先
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overall_status=overall_names.get(p.id) or p.overall_status,
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status=p.status,
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created_at=p.created_at,
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)
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