104 lines
4.6 KiB
Python
104 lines
4.6 KiB
Python
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"""任务挂载的 MOM 出库物料 — 明细级快照
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回答「这个任务用了哪些 MOM 出库物料」。口径已与业务确认：
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· 选择粒度 = **整张出库单**（outbound_no），该单据的明细一并带入
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—— 不存在"单里混了无关物料"的情况
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· **纯引用，不记用量**：quantity 是出库单原值，不是"本任务用了多少"
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为什么存明细级快照，而不是只存 outbound_no 现查：
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MOM 的 trans_outbound 是**明细行**（一行 = 一条物料），物料名/规格要经
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COALESCE 三表 JOIN（stock_buy/stock_semi/stock_product → material_base）
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才能解析出来。Track 跨库无法 JOIN，若只存单号，每次展示都要打 MOM ——
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MOM 挂了就看不到已挂内容。存快照后 Track 自包含，与既有的
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product_outbounds 是同一套存档哲学。
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成本实测可忽略：517 张单平均 2.64 条明细，65% 是单条明细。
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⚠️ mom_line_id 是**跨库逻辑外键**（指向 MOM 库 trans_outbound.id），无物理
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约束 —— 与 assignee_id 指向 MOM sys_user 是同一类做法。MOM 库若重建会让
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自增 ID 错位，所以同时冗余 outbound_no 供人工核对。
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"""
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import uuid
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from datetime import datetime
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from decimal import Decimal
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from sqlalchemy import DateTime, ForeignKey, Numeric, String, UniqueConstraint
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from sqlalchemy.dialects.postgresql import UUID
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.models.base import Base
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from app.core.time_utils import get_beijing_time
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class TaskOutboundMaterial(Base):
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__tablename__ = "task_outbound_materials"
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# 防同一条出库明细被重复挂到同一任务（重复提交、前端重放、并发点击）
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__table_args__ = (
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UniqueConstraint("task_id", "mom_line_id",
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name="uq_task_outbound_materials_task_line"),
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)
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id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True)
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# ---- 物理外键（关联本库 tasks） ----
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task_id: Mapped[uuid.UUID] = mapped_column(
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UUID(as_uuid=True), ForeignKey("tasks.id"),
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nullable=False, index=True, comment="所属任务ID",
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)
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# ---- 跨库逻辑外键（MOM 库 trans_outbound.id，无物理约束） ----
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mom_line_id: Mapped[int] = mapped_column(
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nullable=False, comment="MOM 出库明细行ID(逻辑外键→MOM trans_outbound.id)",
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)
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outbound_no: Mapped[str] = mapped_column(
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String(100), nullable=False, index=True,
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comment="MOM 出库单号(批量出库多商品共用，故本表按明细行成行)",
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)
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# ---- MOM 物料/单据快照（挂载时从 MOM 拉取，之后 Track 自包含） ----
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sku: Mapped[str | None] = mapped_column(
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String(100), nullable=True, comment="物料SKU(MOM trans_outbound.sku 快照)",
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)
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material_name: Mapped[str | None] = mapped_column(
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String(255), nullable=True, comment="物料名称(经 COALESCE 三表 JOIN 解析后快照)",
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)
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spec_model: Mapped[str | None] = mapped_column(
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String(255), nullable=True, comment="规格型号快照",
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)
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quantity: Mapped[Decimal | None] = mapped_column(
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Numeric(19, 4), nullable=True,
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comment="出库数量(出库单原值，**不是**本任务用量)",
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)
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unit_price: Mapped[Decimal | None] = mapped_column(
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Numeric(19, 2), nullable=True, comment="出库单价",
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)
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outbound_type: Mapped[str | None] = mapped_column(
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String(50), nullable=True,
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comment="出库类型 SALES/USE/PRODUCTION/LOSS/REPAIR(MOM 码表未冻结，只存不判)",
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)
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consumer_name: Mapped[str | None] = mapped_column(
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String(100), nullable=True, comment="领用人/客户(MOM 侧自由填写，非可靠标识)",
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)
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operator_name: Mapped[str | None] = mapped_column(
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String(100), nullable=True, comment="MOM 侧操作员",
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)
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warehouse_location: Mapped[str | None] = mapped_column(
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String(100), nullable=True, comment="出库库位快照",
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)
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outbound_time: Mapped[datetime | None] = mapped_column(
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DateTime(timezone=True), nullable=True,
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comment="MOM 记录的出库时间(写入时已按 +08:00 补全时区)",
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)
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added_by: Mapped[str | None] = mapped_column(
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String(64), nullable=True, comment="挂载人ID(逻辑外键→MOM sys_user)",
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)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), default=get_beijing_time, comment="挂载时间",
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)
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# ---- 关系 ----
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task: Mapped["Task"] = relationship("Task", back_populates="outbound_materials")
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def __repr__(self) -> str:
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return f"<TaskOutboundMaterial {self.outbound_no} sku={self.sku}>"
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