新增只读台账接口: - GET /api/v1/outbound/returns 退回流水(分页 + 关键词 + 类型 + 时间过滤) 返回 原出库单号 / 物料名称 / 规格 / SKU / 退回类型 / 退回数量 / 原因 / 操作人 / 退回时间 / 公司。出库单号经 trans_outbound 批量补齐,物料名按 多态来源批量解析,均为批量查询无 N+1。 权限收口(配合 db_migrations 里的三个权限码): - return-from-outbound inventory_stocktake:operation -> outbound_return - GET /stock/defective inventory_stocktake -> defective_list - restock inventory_stocktake:operation -> defective_restock - scrap inventory_stocktake:operation -> defective_scrap - change-status inventory_stocktake:operation -> stock_change_status 原先这四个接口搭的是「盲盘作业」权限的便车,职责错配、审计不合规。 实测 SALES(销售)角色持有 inventory_stocktake,意味着销售人员能读整份 不良品台账——与业务对台账可见性的要求不符。全部改用无冒号专用码后, 实测「只授予 inventory_stocktake:operation」对四个接口均返回 403,便车已封。 trans_return 补 company_name 快照: 退回流水的隔离判定原先只能靠 join 链推,而库存行会被入库模块物理删除 (实测 1077 条出库记录中已有 7 条悬空),链路一断记录就会对普通用户 静默消失。改由退回时落快照,隔离不再依赖任何 join。
425 lines
18 KiB
Python
425 lines
18 KiB
Python
from app.extensions import db, beijing_time
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from datetime import datetime
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from sqlalchemy import func
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from functools import lru_cache
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@lru_cache(maxsize=512)
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def _borrow_user_name(uid):
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"""按用户 ID 取用户名(带缓存,避免列表页 N+1)"""
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try:
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from app.models.system import SysUser
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u = SysUser.query.get(uid)
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return u.username if u else None
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except Exception:
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return None
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def _display_borrow_operator(op):
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"""归还人展示映射:历史存的是数字 user id → 映射为用户名;新数据存姓名则原样返回"""
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if op and str(op).strip().isdigit():
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mapped = _borrow_user_name(int(op))
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return mapped if mapped else op
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return op
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class TransBorrow(db.Model):
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__tablename__ = 'trans_borrow'
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id = db.Column(db.Integer, primary_key=True)
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borrow_no = db.Column(db.String(100))
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sku = db.Column(db.String(100))
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source_table = db.Column(db.String(50))
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stock_id = db.Column(db.Integer)
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barcode = db.Column(db.String(100))
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quantity = db.Column(db.Numeric(19, 4))
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returned_quantity = db.Column(db.Numeric(19, 4), default=0)
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borrower_name = db.Column(db.String(100))
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borrow_time = db.Column(db.DateTime, default=beijing_time)
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borrow_signature = db.Column(db.Text)
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expected_return_time = db.Column(db.DateTime)
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is_returned = db.Column(db.Boolean, default=False)
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return_time = db.Column(db.DateTime)
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return_operator = db.Column(db.String(100))
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return_signature = db.Column(db.Text)
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return_location = db.Column(db.String(100))
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# [新增] 借出时的库位快照(从源库存记录带出,便于历史追溯)
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location = db.Column(db.String(100))
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status = db.Column(db.String(20), default='borrowed')
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remark = db.Column(db.Text)
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def to_dict(self):
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returned_qty = float(self.returned_quantity) if self.returned_quantity is not None else 0
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total_qty = float(self.quantity) if self.quantity is not None else 0
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pending_qty = total_qty - returned_qty
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return {
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'id': self.id,
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'borrow_no': self.borrow_no,
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'sku': self.sku,
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'source_table': self.source_table,
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'stock_id': self.stock_id,
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'barcode': self.barcode,
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'quantity': total_qty,
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'returned_quantity': returned_qty,
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'pending_quantity': pending_qty,
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'borrower_name': self.borrower_name,
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'borrow_time': self.borrow_time.strftime('%Y-%m-%d %H:%M') if self.borrow_time else None,
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'borrow_signature': self.borrow_signature,
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'expected_return_time': self.expected_return_time.strftime('%Y-%m-%d %H:%M') if self.expected_return_time else None,
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'is_returned': self.is_returned,
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'return_time': self.return_time.strftime('%Y-%m-%d %H:%M') if self.return_time else None,
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'return_operator': _display_borrow_operator(self.return_operator),
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'return_signature': self.return_signature,
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'return_location': self.return_location,
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'location': self.location or '',
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'status': self.status,
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'remark': self.remark,
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}
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@classmethod
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def get_borrowed_quantity(cls, source_table, stock_id):
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"""
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获取指定库存记录(source_table 和 stock_id)的借出未还数量总和。
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返回浮点数,若无借出记录则返回 0.0。
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"""
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result = db.session.query(func.sum(cls.quantity)).filter(
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cls.source_table == source_table,
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cls.stock_id == stock_id,
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cls.is_returned == False
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).scalar()
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return float(result) if result is not None else 0.0
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class TransRepair(db.Model):
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__tablename__ = 'trans_repair'
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id = db.Column(db.Integer, primary_key=True, autoincrement=True)
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# 维修单号 (新增)
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repair_no = db.Column(db.String(50), nullable=True, unique=True)
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# 关联基础信息 (新增)
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base_id = db.Column(db.Integer, db.ForeignKey('material_base.id'), nullable=True)
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# SKU 保留
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sku = db.Column(db.String(100))
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# 物料名称 (独立录入时使用,非关联base_id)
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material_name = db.Column(db.String(200))
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# 序列号SN (新增,用于单台追溯)
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serial_number = db.Column(db.String(100), nullable=True)
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# 来源追溯 (兼容旧数据)
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source_table = db.Column(db.String(50))
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stock_id = db.Column(db.Integer)
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is_self_made = db.Column(db.Boolean, default=False)
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related_product_id = db.Column(db.Integer)
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# 入库/接收时间
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arrival_date = db.Column(db.Date)
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# 维修状态 (新增)
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repair_status = db.Column(db.String(50), default='待检测')
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# 客户反馈
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fault_description = db.Column(db.Text)
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# 预计修复时间
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expected_repair_time = db.Column(db.String(100))
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# 维修日志/结果
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repair_result = db.Column(db.Text)
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# 维修人
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repair_manager = db.Column(db.String(100))
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# 出库交付时间
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shipping_date = db.Column(db.Date)
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# 客户名/来源
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related_contract_id = db.Column(db.String(100))
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# 客户名称 (新增)
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customer_name = db.Column(db.String(100))
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# 客户所在地 (新增)
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customer_location = db.Column(db.String(255))
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# 成本与售价
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cost_price = db.Column(db.Numeric(19, 4))
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sale_price = db.Column(db.Numeric(19, 4))
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# 数据隔离 (新增)
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company_id = db.Column(db.Integer, nullable=True)
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# 关联关系
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base = db.relationship('MaterialBase', backref='repairs')
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def to_dict(self):
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return {
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'id': self.id,
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'repair_no': self.repair_no,
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'base_id': self.base_id,
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'sku': self.sku,
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'material_name': self.material_name,
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'serial_number': self.serial_number,
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'source_table': self.source_table,
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'stock_id': self.stock_id,
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'arrival_date': self.arrival_date.strftime('%Y-%m-%d') if self.arrival_date else None,
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'repair_status': self.repair_status,
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'expected_repair_time': self.expected_repair_time,
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'shipping_date': self.shipping_date.strftime('%Y-%m-%d') if self.shipping_date else None,
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'is_self_made': self.is_self_made,
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'related_product_id': self.related_product_id,
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'related_contract_id': self.related_contract_id,
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'customer_name': self.customer_name,
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'customer_location': self.customer_location,
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'repair_manager': self.repair_manager,
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'fault_description': self.fault_description,
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'repair_result': self.repair_result,
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'cost_price': float(self.cost_price) if self.cost_price is not None else None,
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'sale_price': float(self.sale_price) if self.sale_price is not None else None,
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'company_id': self.company_id,
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}
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class TransScrap(db.Model):
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__tablename__ = 'trans_scrap'
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id = db.Column(db.Integer, primary_key=True)
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sku = db.Column(db.String(100))
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source_table = db.Column(db.String(50))
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stock_id = db.Column(db.Integer)
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quantity = db.Column(db.Numeric(19, 4))
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reason = db.Column(db.Text)
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operator_name = db.Column(db.String(100))
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operation_time = db.Column(db.DateTime, default=beijing_time)
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approver_name = db.Column(db.String(100))
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approval_status = db.Column(db.String(20), default='pending')
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cost_at_scrap = db.Column(db.Numeric(19, 4))
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total_loss = db.Column(db.Numeric(19, 4))
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# ★ 关联报废申请单号(审批流写台账用;DDL 见 db_migrations/add_scrap_approval.sql)
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scrap_request_no = db.Column(db.String(100), index=True)
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def to_dict(self):
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return {
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'id': self.id,
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'sku': self.sku,
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'source_table': self.source_table,
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'stock_id': self.stock_id,
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'quantity': float(self.quantity) if self.quantity is not None else None,
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'reason': self.reason,
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'operator_name': self.operator_name,
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'operation_time': self.operation_time.strftime('%Y-%m-%d %H:%M:%S') if self.operation_time else None,
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'approver_name': self.approver_name,
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'approval_status': self.approval_status,
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'cost_at_scrap': float(self.cost_at_scrap) if self.cost_at_scrap is not None else None,
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'total_loss': float(self.total_loss) if self.total_loss is not None else None,
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}
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# =============================================================================
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# 原单退回(逆向物流)
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# =============================================================================
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# 设计要点
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# --------
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# 1. **流水不覆盖**:每一次退回写一条 trans_return,而不是在原记录上累加覆盖。
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# 这是刻意与 trans_borrow 划清界限 —— 后者在部分归还时会把
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# return_time / return_operator / return_signature 逐次覆盖,导致
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# 「谁在什么时候还了多少」永久丢失。退回流水不能再犯同样的错。
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#
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# 2. **不良品不入库存表**:库存表的 status 是**行级**属性,而质量是**件级**
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# 属性。把坏件加回原行,会让一行同时含良品与坏件 —— 只能整行打不良,
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# 而实测 stock_buy 单行最大 4789 件(中位 8 件),整行打不良等于凭空
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# 损失大量良品。故坏件全程存放在独立的 trans_defective_goods 台账里,
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# 只有修好回库那一刻才回到原库存行。
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#
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# 3. **与维修模块解耦**:trans_repair 是 SN 单台粒度、且没有任何数量列,
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# 承载不了「一批坏件」(实测 50.6% 的出库是多件,中位 2、最大 186)。
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# 故坏件台账独立建表,不复用 trans_repair。
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RETURN_TYPE_GOOD = '良品'
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RETURN_TYPE_DEFECTIVE = '不良品'
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VALID_RETURN_TYPES = (RETURN_TYPE_GOOD, RETURN_TYPE_DEFECTIVE)
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class TransReturn(db.Model):
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"""
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原单退回流水。
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一行 = 一次退回动作(不做覆盖式更新)。累计退回量另存于
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trans_outbound.returned_quantity,本表负责回答「每一次是谁、何时、
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退了多少、良品还是不良品」。
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"""
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__tablename__ = 'trans_return'
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id = db.Column(db.Integer, primary_key=True)
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outbound_id = db.Column(db.Integer, nullable=False, index=True) # 原出库明细 trans_outbound.id
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stock_id = db.Column(db.Integer) # 原库存行 id(快照)
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source_table = db.Column(db.String(50)) # 原库存表名(快照)
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sku = db.Column(db.String(100)) # 冗余,避免列表页联表
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return_qty = db.Column(db.Numeric(19, 4), nullable=False, default=0)
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return_type = db.Column(db.String(20), nullable=False) # '良品' | '不良品'
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reason = db.Column(db.Text)
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operator = db.Column(db.String(100))
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return_time = db.Column(db.DateTime, default=beijing_time)
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# ★ 公司快照:退回发生时的所属公司。
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# 不靠 join 推 —— 隔离判定的链路是
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# trans_return → trans_outbound → (source_table, stock_id) → 库存表 → 物料主表
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# 而库存行会被入库模块**物理删除**(实测 1077 条出库记录中已有 7 条悬空),
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# 链路一断,记录就会对普通用户静默消失。审计视图静默丢数据不可接受。
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# 与 trans_defective_goods.company_name 同一处理方式。
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# DDL 见 db_migrations/add_return_view_support.sql
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company_name = db.Column(db.String(255), index=True)
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def to_dict(self):
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return {
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'id': self.id,
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'outbound_id': self.outbound_id,
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'stock_id': self.stock_id,
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'source_table': self.source_table,
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'sku': self.sku,
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'return_qty': float(self.return_qty) if self.return_qty is not None else 0,
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'return_type': self.return_type,
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'reason': self.reason,
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'operator': self.operator,
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'return_time': self.return_time.strftime('%Y-%m-%d %H:%M:%S') if self.return_time else None,
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'company_name': self.company_name,
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}
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# 状态机(三期升级):
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# 待处理 ──┬─→ 处理中 ──┬─→ 已回库(全部回库,无报废)
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# │ ├─→ 已报废(全部报废,无回库)
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# │ └─→ 已闭环(回库与报废混合,在管量归零)
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# └─(一次处置即为终态时,直接跳到对应的终态)
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#
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# ★ 三种终态而非单一「已闭环」,是为了让工作台一眼看出这批坏件的**去向**:
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# 修好回到库存了、还是被销毁了。混合处置无法用单一去向描述,才归到「已闭环」。
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DEFECTIVE_STATUS_PENDING = '待处理' # 刚退回,尚未做任何处置
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DEFECTIVE_STATUS_IN_PROGRESS = '处理中' # 已部分回库/部分报废,仍有在管量
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DEFECTIVE_STATUS_RESTOCKED = '已回库' # 全部回库,无报废
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DEFECTIVE_STATUS_SCRAPPED = '已报废' # 全部报废,无回库
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DEFECTIVE_STATUS_CLOSED = '已闭环' # 回库与报废混合,在管量归零
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VALID_DEFECTIVE_STATUSES = (
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DEFECTIVE_STATUS_PENDING,
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DEFECTIVE_STATUS_IN_PROGRESS,
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DEFECTIVE_STATUS_RESTOCKED,
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DEFECTIVE_STATUS_SCRAPPED,
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DEFECTIVE_STATUS_CLOSED,
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)
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# ★ 可继续处置的状态白名单(Fail-Closed:未列出的一律拒绝回库/报废)。
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# 三种终态都不可再动:已回库→再回库就是凭空多一份库存;已报废→实物已销毁;
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# 已闭环→在管量已归零。
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OPEN_DEFECTIVE_STATUSES = (
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DEFECTIVE_STATUS_PENDING,
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DEFECTIVE_STATUS_IN_PROGRESS,
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)
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# 语义别名:回库与报废的准入白名单是同一组「未结案」状态
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RESTOCKABLE_DEFECTIVE_STATUSES = OPEN_DEFECTIVE_STATUSES
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SCRAPPABLE_DEFECTIVE_STATUSES = OPEN_DEFECTIVE_STATUSES
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def defective_close_status(restocked_qty, scrapped_qty):
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"""
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在管量归零时,由累计去向推导终态。
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★ 为什么需要它:一次坏件批次可能既回库了一部分、又报废了剩余部分。
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此时 remaining_qty 归零,但既不是「已回库」也不是「已报废」——
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按最后一次动作定状态会产生误导(最后报废 ≠ 整批报废)。
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故由累计量推导,语义稳定且与动作顺序无关。
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"""
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restocked = float(restocked_qty or 0)
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scrapped = float(scrapped_qty or 0)
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if restocked > 0 and scrapped > 0:
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return DEFECTIVE_STATUS_CLOSED
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if scrapped > 0:
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return DEFECTIVE_STATUS_SCRAPPED
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return DEFECTIVE_STATUS_RESTOCKED
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class TransDefectiveGoods(db.Model):
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"""
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不良品在管台账。
|
||
|
||
一行 = 一批同源坏件。支持**部分回库**:remaining_qty 随每次回库递减,
|
||
归零才算整批回库完成。
|
||
|
||
本表与库存表解耦:坏件在管期间不占用任何库存行的数量,也不改其 status。
|
||
回库时才按 source_table + stock_id 回到原库存行。
|
||
"""
|
||
__tablename__ = 'trans_defective_goods'
|
||
|
||
id = db.Column(db.Integer, primary_key=True)
|
||
|
||
# --- 来源追溯 ---
|
||
return_id = db.Column(db.Integer, index=True) # trans_return.id
|
||
outbound_id = db.Column(db.Integer, index=True) # trans_outbound.id
|
||
|
||
# --- 回库目标(原库存行)---
|
||
source_table = db.Column(db.String(50), nullable=False)
|
||
stock_id = db.Column(db.Integer, nullable=False)
|
||
|
||
# --- 物料快照(回库目标行可能被删,此处保留可读信息)---
|
||
base_id = db.Column(db.Integer)
|
||
sku = db.Column(db.String(100))
|
||
material_name = db.Column(db.String(200))
|
||
spec_model = db.Column(db.String(255))
|
||
|
||
# --- 数量 ---
|
||
# ★ 不变式:restocked_qty + scrapped_qty + remaining_qty = quantity
|
||
# 三个去向列相互独立,不可互推 —— 二期曾用 quantity - remaining_qty
|
||
# 反推回库量,三期加入报废出口后该反推即失效。
|
||
quantity = db.Column(db.Numeric(19, 4), nullable=False, default=0) # 进入在管时的原始数量
|
||
remaining_qty = db.Column(db.Numeric(19, 4), nullable=False, default=0) # 仍在管数量
|
||
restocked_qty = db.Column(db.Numeric(19, 4), nullable=False, default=0) # [三期] 累计已回库
|
||
scrapped_qty = db.Column(db.Numeric(19, 4), nullable=False, default=0) # [三期] 累计已报废
|
||
|
||
# --- 状态与归属 ---
|
||
status = db.Column(db.String(20), nullable=False, default=DEFECTIVE_STATUS_PENDING)
|
||
company_name = db.Column(db.String(255), index=True) # 行级隔离:本表承载实物,按库存表口径存公司
|
||
reason = db.Column(db.Text)
|
||
operator = db.Column(db.String(100))
|
||
remark = db.Column(db.Text)
|
||
|
||
created_at = db.Column(db.DateTime, default=beijing_time)
|
||
updated_at = db.Column(db.DateTime, default=beijing_time, onupdate=beijing_time)
|
||
|
||
def to_dict(self):
|
||
qty = float(self.quantity) if self.quantity is not None else 0
|
||
remain = float(self.remaining_qty) if self.remaining_qty is not None else 0
|
||
restocked = float(self.restocked_qty) if self.restocked_qty is not None else 0
|
||
scrapped = float(self.scrapped_qty) if self.scrapped_qty is not None else 0
|
||
return {
|
||
'id': self.id,
|
||
'return_id': self.return_id,
|
||
'outbound_id': self.outbound_id,
|
||
'source_table': self.source_table,
|
||
'stock_id': self.stock_id,
|
||
'base_id': self.base_id,
|
||
'sku': self.sku,
|
||
'material_name': self.material_name,
|
||
'spec_model': self.spec_model,
|
||
'quantity': qty,
|
||
'remaining_qty': remain,
|
||
# ★ 三个去向列各自独立取值。改造前 restocked_qty 由
|
||
# quantity - remaining_qty 反推,三期加入报废出口后会算错。
|
||
'restocked_qty': restocked,
|
||
'scrapped_qty': scrapped,
|
||
'status': self.status,
|
||
'company_name': self.company_name,
|
||
'reason': self.reason,
|
||
'operator': self.operator,
|
||
'remark': self.remark,
|
||
'created_at': self.created_at.strftime('%Y-%m-%d %H:%M:%S') if self.created_at else None,
|
||
'updated_at': self.updated_at.strftime('%Y-%m-%d %H:%M:%S') if self.updated_at else None,
|
||
}
|