DXC
1450e6c1de
- 分页基准从明细行改为单号：21 项单号不再被拆到 3 页 - 步骤 1a 构造 GROUP BY borrow_no 的 subquery（sort_key + status 聚合） - 步骤 2 主查询 SELECT order_subq.c.borrow_no 一列，避免触发 PG GROUP BY 严格模式 (f405) - 步骤 3 用 page_borrow_nos 拉明细，保留前端 groupMap 期望的 items 形态 - pagination.items 用 isinstance + hasattr(_mapping) 兜底提取纯字符串（修 psycopg2 can't adapt type 'Row'） - service 加 try-except，路由层识别 500 透传 traceback - status 过滤改为单号聚合（borrowed=至少一条未还，returned=全部归还）
668 lines
30 KiB
Python
668 lines
30 KiB
Python
import uuid # .material -> .base refactor checked
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from datetime import datetime
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from app.extensions import db
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from app.models.transaction import TransBorrow
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from app.models.inbound.buy import StockBuy
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from app.models.inbound.semi import StockSemi
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from app.models.inbound.product import StockProduct
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from app.models.base import MaterialBase
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from sqlalchemy import desc, func, nullslast, asc, or_, and_, case
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from sqlalchemy.orm import joinedload
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class TransService:
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@staticmethod
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def generate_borrow_no():
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"""
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生成借用单号: BOR-yyyyMMdd-0001 (按日流水)
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逻辑：统计当天已存在的不同借用单号数量，+1 作为新序号
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"""
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now = datetime.now()
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date_str = now.strftime('%Y%m%d')
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prefix = f"BOR-{date_str}-"
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# 使用 count distinct 来计算当天有多少个不同的借用单 (因为一单多货会占多行)
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count = db.session.query(func.count(func.distinct(TransBorrow.borrow_no))) \
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.filter(TransBorrow.borrow_no.like(f"{prefix}%")).scalar()
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sequence = count + 1
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return f"{prefix}{sequence:04d}"
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@staticmethod
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def execute_dispatch(approval_id, items, operator_name='System', borrower_name=None,
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signature=None, remark=None, expected_return_time=None):
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"""
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执行借库扣减（审批通过后调用）
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流程：锁审批单 → 构建审批上限字典 → 锁库存行 → 名称规格校验 → 扣减库存 → 生成 TransBorrow 记录 → 标记审批单完成
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★ 关键设计：审批维度是 (name, spec_model) 而非 SKU
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借库申请是按【名称 + 规格型号】发起的（borrow_service 强制要求 name/spec_model/quantity 三字段），
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申请时尚未绑定具体库存行；扫码出库时通过锁定 stock 行回查 material_base 表，
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用 (name, spec_model) 与审批单做物料维度聚合比对，避免 sku 维度坍塌或绕过。
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"""
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from app.models.borrow import BorrowApproval
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if not items: raise ValueError("物品列表为空")
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if not signature: raise ValueError("借用人必须签字")
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# ==============================================
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# ★ 防线1：并发防重复执行 - 用 SELECT FOR UPDATE 锁住审批单
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# ==============================================
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approval = BorrowApproval.query.with_for_update().get(approval_id)
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if not approval:
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raise ValueError("审批单不存在")
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if approval.status != 1:
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status_map = {0: '待审批', 1: '已通过', 2: '已驳回', 3: '已完成'}
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raise ValueError(f"审批单状态为【{status_map.get(approval.status, approval.status)}】，无法执行借库")
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# ★ borrower_name 兜底：优先用前端传参，其次从审批单读取（申请时填写的姓名）
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if not borrower_name:
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borrower_name = approval.borrower_name
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if not borrower_name:
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raise ValueError("审批单中未记录借库人姓名，请联系管理员补录")
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# ==============================================
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# ★ 防线2：构建审批上限字典（按 名称+规格 聚合，strip 防止匹配失败）
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# Key = (name, spec_model)，Value = 该物料累计允许借出数量
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# ==============================================
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approved_items = approval.get_items()
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if not approved_items:
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raise ValueError("审批单中无物料明细，请联系管理员检查")
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approval_limits = {}
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for ai in approved_items:
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key = (
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(ai.get('name') or '').strip(),
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(ai.get('spec_model') or '').strip()
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)
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approval_limits[key] = approval_limits.get(key, 0) + float(ai.get('quantity', 0))
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# 累计本次扫码出库量（key 与 approval_limits 完全一致）
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dispatch_acc = {}
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borrow_no = TransService.generate_borrow_no()
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model_map = {'stock_buy': StockBuy, 'stock_semi': StockSemi, 'stock_product': StockProduct}
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try:
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for item in items:
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source_table = item.get('source_table')
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stock_id = item.get('id')
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qty = float(item.get('out_quantity', 0))
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ModelClass = model_map.get(source_table)
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if not ModelClass: continue
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# ==============================================
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# ★ 防线3：并发超卖与负库存 - 锁行后再查可用库存
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# ⚠️ 不要在此加 joinedload(ModelClass.base)！PG 禁止 FOR UPDATE
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# 应用到 outer join 的 nullable 侧，会报 FeatureNotSupported
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# 并有死锁风险。stock.base 走单条 lazy 加载是已知取舍。
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# ==============================================
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stock = ModelClass.query.with_for_update().get(stock_id)
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if not stock: raise ValueError(f"库存不存在 ID:{stock_id}")
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# ==============================================
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# ★ 防线4：名称+规格 超额校验（动态累加、即时拦截）
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# 库存表本身没有 name/spec_model 字段，通过 base 关联到 material_base
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# ==============================================
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if stock.base:
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stock_name = (stock.base.name or '').strip()
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stock_spec = (stock.base.spec_model or '').strip()
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else:
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stock_name = ''
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stock_spec = ''
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key = (stock_name, stock_spec)
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limit = approval_limits.get(key)
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if limit is None:
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raise ValueError(
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f"扫码物料【{stock_name} / {stock_spec}】不在审批单允许范围内，"
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f"请检查审批单明细或重新发起申请"
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)
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dispatch_acc[key] = dispatch_acc.get(key, 0) + qty
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current_total = dispatch_acc[key]
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if current_total > limit:
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raise ValueError(
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f"实际出库数量超出了审批单允许的上限: "
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f"物料={stock_name}({stock_spec}) "
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f"审批上限={limit}, 实际扫码={current_total}"
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)
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if float(stock.available_quantity) < qty:
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raise ValueError(f"物料【{stock_name} / {stock_spec}】可用库存不足")
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# 1. 冻结库存 (只减可用)
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stock.available_quantity = float(stock.available_quantity) - qty
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# 2. 创建借用记录
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record = TransBorrow(
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borrow_no=borrow_no,
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sku=stock.sku,
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source_table=source_table,
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stock_id=stock.id,
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barcode=stock.barcode,
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quantity=qty,
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borrower_name=borrower_name,
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borrow_signature=signature,
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remark=remark,
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expected_return_time=expected_return_time,
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status='borrowed',
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is_returned=False
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)
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db.session.add(record)
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# ★ 3. 标记审批单为已完成
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approval.status = 3
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db.session.commit()
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return borrow_no
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except Exception as e:
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db.session.rollback()
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raise e
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# ★ 兼容旧入口（不走审批流的直接借库，保留以便平滑过渡）
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@staticmethod
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def create_borrow(data, operator_name='System'):
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"""
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借库逻辑（兼容旧模式）：减少可用库存，不减总库存
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@deprecated 请优先使用 execute_dispatch 走审批流
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"""
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return TransService.execute_dispatch(
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approval_id=0,
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items=data.get('items', []),
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operator_name=operator_name,
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borrower_name=data.get('borrower_name'),
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signature=data.get('signature_path'),
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remark=data.get('remark'),
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expected_return_time=data.get('expected_return_time')
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)
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@staticmethod
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def scan_for_return(barcode):
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"""
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扫码还库：查找未归还记录，并返回当前物品的库位
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"""
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records = TransBorrow.query.filter_by(barcode=barcode, is_returned=False).all()
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if not records:
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return None
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# 取第一条未还记录
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record = records[0]
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# 获取当前库存表中的实时库位
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current_location = ""
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model_map = {'stock_buy': StockBuy, 'stock_semi': StockSemi, 'stock_product': StockProduct}
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ModelClass = model_map.get(record.source_table)
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if ModelClass:
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stock = ModelClass.query.get(record.stock_id)
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if stock:
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current_location = stock.warehouse_location
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res_dict = record.to_dict()
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res_dict['current_location'] = current_location # 用于前端对比和预填
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return res_dict
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@staticmethod
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def process_return(data, operator_name):
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"""
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还库逻辑（支持部分归还）- 已优化，消除 N+1 和长事务死锁风险
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四步走策略：
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1. 收集所有 borrow_id
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2. 批量锁定借用记录
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3. 收集库存ID并批量锁定库存
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4. 内存中完成业务逻辑
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"""
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items = data.get('items', [])
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signature = data.get('signature_path') # 库管签字
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if not items: raise ValueError("还库列表为空")
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if not signature: raise ValueError("库管必须签字确认")
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model_map = {'stock_buy': StockBuy, 'stock_semi': StockSemi, 'stock_product': StockProduct}
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try:
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# ==========================================
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# ★ 优化步骤 1：收集所有 borrow_id
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# ==========================================
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borrow_ids = []
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item_map = {} # 存储原始 item 数据，key=borrow_id
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for item in items:
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borrow_id = item.get('id')
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if borrow_id:
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borrow_ids.append(borrow_id)
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item_map[borrow_id] = {
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'return_qty': float(item.get('return_qty', 0)),
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'final_location': item.get('return_location')
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}
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if not borrow_ids:
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raise ValueError("没有有效的归还记录")
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# ==========================================
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# ★ 优化步骤 2：批量锁定借用记录
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# ==========================================
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borrow_records = TransBorrow.query.with_for_update().filter(
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TransBorrow.id.in_(borrow_ids)
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).all()
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borrow_map = {r.id: r for r in borrow_records}
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# ==========================================
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# ★ 优化步骤 3：收集库存ID并批量锁定库存
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# ==========================================
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stock_ids_by_table = {'stock_buy': set(), 'stock_semi': set(), 'stock_product': set()}
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for borrow_id, record in borrow_map.items():
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if record.source_table in stock_ids_by_table and record.stock_id:
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stock_ids_by_table[record.source_table].add(record.stock_id)
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stock_map = {} # 格式: { ('stock_buy', 101): stock_obj }
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for table_name, ids in stock_ids_by_table.items():
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if not ids:
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continue
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ModelClass = model_map[table_name]
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stocks = ModelClass.query.with_for_update().filter(
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ModelClass.id.in_(ids)
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).all()
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for stock in stocks:
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stock_map[(table_name, stock.id)] = stock
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# ==========================================
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# ★ 优化步骤 4：内存中完成业务逻辑
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# ==========================================
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for borrow_id, item_data in item_map.items():
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return_qty = item_data['return_qty']
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final_location = item_data['final_location']
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record = borrow_map.get(borrow_id)
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if not record:
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continue
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# 计算待还数量
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returned_qty = float(record.returned_quantity) if record.returned_quantity else 0
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total_qty = float(record.quantity) if record.quantity else 0
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pending_qty = total_qty - returned_qty
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# 校验归还数量
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if return_qty <= 0:
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raise ValueError(f"归还数量必须大于0")
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if return_qty > pending_qty:
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raise ValueError(f"本次归还数量({return_qty})不能大于待还数量({pending_qty})")
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# 更新库存
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stock = stock_map.get((record.source_table, record.stock_id))
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if stock:
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# 恢复可用库存
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stock.available_quantity = float(stock.available_quantity) + return_qty
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# 更新库位
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if final_location:
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stock.warehouse_location = final_location
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# 更新归还数量和状态
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new_returned_qty = returned_qty + return_qty
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record.returned_quantity = new_returned_qty
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if new_returned_qty >= total_qty:
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record.is_returned = True
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record.status = 'returned'
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else:
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record.is_returned = False
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record.status = 'partial_returned'
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record.return_time = datetime.now()
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record.return_operator = operator_name
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record.return_signature = signature
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if final_location:
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record.return_location = final_location
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db.session.commit()
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except Exception as e:
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db.session.rollback()
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raise e
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@staticmethod
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def get_records(page=1, limit=10, status='all', keyword=None, search_type='all'):
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"""
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获取借还记录列表（按单号 borrow_no 维度分页，避免明细撑爆 pageSize）
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实现思路（三步走）：
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步骤 1: 构造 GROUP BY borrow_no 的"单号维度视图" subquery
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（包含 borrow_no + sort_key + 状态聚合，全部聚合都在这里完成）
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步骤 2: 用一个【纯净的列查询】从 subquery 中分页得到 page_borrow_nos
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→ SELECT 只有 borrow_no 一列，【主查询无 GROUP BY】
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→ 避免触发 PG "column must appear in GROUP BY" 严格模式
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步骤 3: 用 page_borrow_nos 拉明细 + 预加载 material_name
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状态过滤按"单号聚合"判定：
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- borrowed: 单号下至少有一条 is_returned=False
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- returned: 单号下所有明细 is_returned=True
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"""
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try:
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# ====================================================================
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# 步骤 1a：构造"单号维度"基础子查询（GROUP BY borrow_no 在这里完成）
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# ====================================================================
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# 单号 + 排序键（最早 expected_return_time）—— 这一层只含 2 列 + GROUP BY
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order_subq = (
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db.session.query(
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TransBorrow.borrow_no.label('borrow_no'),
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func.min(TransBorrow.expected_return_time).label('sort_key')
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)
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.group_by(TransBorrow.borrow_no)
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.subquery()
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)
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# 状态聚合子查询（也是 GROUP BY borrow_no）
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status_subq = (
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db.session.query(
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TransBorrow.borrow_no.label('borrow_no'),
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func.sum(
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case((TransBorrow.is_returned == False, 1), else_=0)
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).label('unreturned_count')
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)
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.group_by(TransBorrow.borrow_no)
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.subquery()
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)
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# ====================================================================
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# 步骤 1b：构造关键词命中单号子查询（保留原全部 search_type 逻辑）
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# ====================================================================
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keyword_conditions = None
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if keyword:
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# 根据 search_type 构建不同的搜索条件
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if search_type == 'all':
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# 原有逻辑：or_ 联表全局模糊搜索
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# 查询 stock_buy 路径匹配的名称/规格
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buy_match = db.session.query(TransBorrow.id).join(
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StockBuy, and_(
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TransBorrow.stock_id == StockBuy.id,
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TransBorrow.source_table == 'stock_buy'
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)
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).join(
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MaterialBase, StockBuy.base_id == MaterialBase.id
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).filter(
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or_(
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MaterialBase.name.ilike(f'%{keyword}%'),
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MaterialBase.spec_model.ilike(f'%{keyword}%')
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)
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).subquery()
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# 查询 stock_semi 路径匹配的名称/规格
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semi_match = db.session.query(TransBorrow.id).join(
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StockSemi, and_(
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TransBorrow.stock_id == StockSemi.id,
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TransBorrow.source_table == 'stock_semi'
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)
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).join(
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MaterialBase, StockSemi.base_id == MaterialBase.id
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).filter(
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or_(
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MaterialBase.name.ilike(f'%{keyword}%'),
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MaterialBase.spec_model.ilike(f'%{keyword}%')
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)
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).subquery()
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# 查询 stock_product 路径匹配的名称/规格
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product_match = db.session.query(TransBorrow.id).join(
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StockProduct, and_(
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TransBorrow.stock_id == StockProduct.id,
|
||
TransBorrow.source_table == 'stock_product'
|
||
)
|
||
).join(
|
||
MaterialBase, StockProduct.base_id == MaterialBase.id
|
||
).filter(
|
||
or_(
|
||
MaterialBase.name.ilike(f'%{keyword}%'),
|
||
MaterialBase.spec_model.ilike(f'%{keyword}%')
|
||
)
|
||
).subquery()
|
||
|
||
# 合并三种来源的匹配 ID
|
||
all_matches = db.session.query(buy_match.c.id).union(
|
||
db.session.query(semi_match.c.id),
|
||
db.session.query(product_match.c.id)
|
||
).subquery()
|
||
|
||
keyword_conditions = or_(
|
||
TransBorrow.borrower_name.ilike(f'%{keyword}%'),
|
||
TransBorrow.sku.ilike(f'%{keyword}%'),
|
||
TransBorrow.borrow_no.ilike(f'%{keyword}%'),
|
||
TransBorrow.id.in_(all_matches)
|
||
)
|
||
|
||
elif search_type == 'no':
|
||
keyword_conditions = TransBorrow.borrow_no.ilike(f'%{keyword}%')
|
||
|
||
elif search_type == 'name':
|
||
keyword_conditions = TransBorrow.borrower_name.ilike(f'%{keyword}%')
|
||
|
||
elif search_type == 'sku':
|
||
keyword_conditions = TransBorrow.sku.ilike(f'%{keyword}%')
|
||
|
||
elif search_type == 'material_name':
|
||
# 联表查询物料名称
|
||
buy_match = db.session.query(TransBorrow.id).join(
|
||
StockBuy, and_(
|
||
TransBorrow.stock_id == StockBuy.id,
|
||
TransBorrow.source_table == 'stock_buy'
|
||
)
|
||
).join(
|
||
MaterialBase, StockBuy.base_id == MaterialBase.id
|
||
).filter(MaterialBase.name.ilike(f'%{keyword}%')).subquery()
|
||
|
||
semi_match = db.session.query(TransBorrow.id).join(
|
||
StockSemi, and_(
|
||
TransBorrow.stock_id == StockSemi.id,
|
||
TransBorrow.source_table == 'stock_semi'
|
||
)
|
||
).join(
|
||
MaterialBase, StockSemi.base_id == MaterialBase.id
|
||
).filter(MaterialBase.name.ilike(f'%{keyword}%')).subquery()
|
||
|
||
product_match = db.session.query(TransBorrow.id).join(
|
||
StockProduct, and_(
|
||
TransBorrow.stock_id == StockProduct.id,
|
||
TransBorrow.source_table == 'stock_product'
|
||
)
|
||
).join(
|
||
MaterialBase, StockProduct.base_id == MaterialBase.id
|
||
).filter(MaterialBase.name.ilike(f'%{keyword}%')).subquery()
|
||
|
||
all_matches = db.session.query(buy_match.c.id).union(
|
||
db.session.query(semi_match.c.id),
|
||
db.session.query(product_match.c.id)
|
||
).subquery()
|
||
|
||
keyword_conditions = TransBorrow.id.in_(all_matches)
|
||
|
||
elif search_type == 'spec_model':
|
||
# 联表查询规格型号
|
||
buy_match = db.session.query(TransBorrow.id).join(
|
||
StockBuy, and_(
|
||
TransBorrow.stock_id == StockBuy.id,
|
||
TransBorrow.source_table == 'stock_buy'
|
||
)
|
||
).join(
|
||
MaterialBase, StockBuy.base_id == MaterialBase.id
|
||
).filter(MaterialBase.spec_model.ilike(f'%{keyword}%')).subquery()
|
||
|
||
semi_match = db.session.query(TransBorrow.id).join(
|
||
StockSemi, and_(
|
||
TransBorrow.stock_id == StockSemi.id,
|
||
TransBorrow.source_table == 'stock_semi'
|
||
)
|
||
).join(
|
||
MaterialBase, StockSemi.base_id == MaterialBase.id
|
||
).filter(MaterialBase.spec_model.ilike(f'%{keyword}%')).subquery()
|
||
|
||
product_match = db.session.query(TransBorrow.id).join(
|
||
StockProduct, and_(
|
||
TransBorrow.stock_id == StockProduct.id,
|
||
TransBorrow.source_table == 'stock_product'
|
||
)
|
||
).join(
|
||
MaterialBase, StockProduct.base_id == MaterialBase.id
|
||
).filter(MaterialBase.spec_model.ilike(f'%{keyword}%')).subquery()
|
||
|
||
all_matches = db.session.query(buy_match.c.id).union(
|
||
db.session.query(semi_match.c.id),
|
||
db.session.query(product_match.c.id)
|
||
).subquery()
|
||
|
||
keyword_conditions = TransBorrow.id.in_(all_matches)
|
||
|
||
# 把"命中的单号"独立成 subquery，供主查询做 IN 过滤
|
||
keyword_borrow_nos_subq = None
|
||
if keyword_conditions is not None:
|
||
keyword_borrow_nos_subq = (
|
||
db.session.query(TransBorrow.borrow_no)
|
||
.filter(keyword_conditions)
|
||
.distinct()
|
||
.subquery()
|
||
)
|
||
|
||
# ====================================================================
|
||
# 步骤 2：纯净列查询分页（SELECT 只有 order_subq.c.borrow_no 一列）
|
||
# ====================================================================
|
||
borrow_no_q = db.session.query(order_subq.c.borrow_no)
|
||
|
||
# 关键词过滤
|
||
if keyword_borrow_nos_subq is not None:
|
||
borrow_no_q = borrow_no_q.filter(
|
||
order_subq.c.borrow_no.in_(keyword_borrow_nos_subq)
|
||
)
|
||
|
||
# 状态过滤（按"单号聚合"判定）
|
||
if status == 'borrowed':
|
||
# 单号下至少一条未还
|
||
borrow_no_q = borrow_no_q.filter(
|
||
order_subq.c.borrow_no.in_(
|
||
db.session.query(status_subq.c.borrow_no)
|
||
.filter(status_subq.c.unreturned_count > 0)
|
||
)
|
||
)
|
||
elif status == 'returned':
|
||
# 单号下所有明细都已归还
|
||
borrow_no_q = borrow_no_q.filter(
|
||
order_subq.c.borrow_no.in_(
|
||
db.session.query(status_subq.c.borrow_no)
|
||
.filter(status_subq.c.unreturned_count == 0)
|
||
)
|
||
)
|
||
|
||
# 排序（单号维度的 sort_key ASC）
|
||
borrow_no_q = borrow_no_q.order_by(nullslast(asc(order_subq.c.sort_key)))
|
||
|
||
# 分页（基准 = borrow_no 单号数）
|
||
pagination = borrow_no_q.paginate(page=page, per_page=limit, error_out=False)
|
||
# ★ pagination.items 是 SQLAlchemy Row 对象，psycopg2 无法直接 adapt Row
|
||
# 用 isinstance(row, tuple) 不够（2.x 的 Row 不一定继承 tuple）
|
||
# 用 hasattr(row, '_mapping') 兜底，强制提取 row[0] 拿到纯字符串
|
||
page_borrow_nos = [
|
||
row[0] if isinstance(row, tuple) or hasattr(row, '_mapping') else row
|
||
for row in pagination.items
|
||
]
|
||
total_orders = pagination.total # ★ 单号总数（修复前是明细数，分页错乱根因）
|
||
|
||
if not page_borrow_nos:
|
||
return {
|
||
'items': [],
|
||
'total': total_orders,
|
||
'page': page,
|
||
'limit': limit
|
||
}
|
||
|
||
# ====================================================================
|
||
# 步骤 3：按当前页 borrow_no 集合一次性拉出所有明细
|
||
# ====================================================================
|
||
detail_records = (
|
||
TransBorrow.query
|
||
.filter(TransBorrow.borrow_no.in_(page_borrow_nos))
|
||
.order_by(TransBorrow.borrow_no.asc(), TransBorrow.id.asc())
|
||
.all()
|
||
)
|
||
|
||
# ============================================================
|
||
# ★ 批量预加载物料名称（三步：收集ID → 批量JOIN → SKU兜底）
|
||
# ============================================================
|
||
items_with_names = []
|
||
items = detail_records
|
||
if items:
|
||
# 步骤 1：收集所有 (source_table, stock_id) 对
|
||
stock_ids_by_table = {'stock_buy': set(), 'stock_semi': set(), 'stock_product': set()}
|
||
for item in items:
|
||
if item.source_table in stock_ids_by_table and item.stock_id:
|
||
stock_ids_by_table[item.source_table].add(item.stock_id)
|
||
|
||
# 步骤 2：批量查询库存表并 JOIN MaterialBase
|
||
stock_map = {} # { ('stock_buy', 101): '物料名称', ... }
|
||
model_map = {
|
||
'stock_buy': StockBuy,
|
||
'stock_semi': StockSemi,
|
||
'stock_product': StockProduct
|
||
}
|
||
for table_name, ids in stock_ids_by_table.items():
|
||
if not ids:
|
||
continue
|
||
ModelClass = model_map.get(table_name)
|
||
if not ModelClass:
|
||
continue
|
||
stocks = ModelClass.query.options(
|
||
joinedload(ModelClass.base)
|
||
).filter(ModelClass.id.in_(ids)).all()
|
||
for stock in stocks:
|
||
name = stock.base.name if stock.base else ''
|
||
stock_map[(table_name, stock.id)] = name
|
||
|
||
# 步骤 3（前置）：收集 SKU 兜底候选集
|
||
empty_sku_set = set()
|
||
for item in items:
|
||
name = stock_map.get((item.source_table, item.stock_id), '')
|
||
if not name and item.sku:
|
||
empty_sku_set.add(item.sku)
|
||
|
||
# 步骤 3（前置）：SKU 兜底批量查询
|
||
# 场景：库存记录被跨表转移（删旧建新）时，trans_borrow.stock_id 指向孤立记录
|
||
# 通过 sku 在三张库存表中查找任意匹配，再通过 base_id 获取 MaterialBase.name
|
||
sku_name_map = {}
|
||
if empty_sku_set:
|
||
for ModelClass in [StockProduct, StockSemi, StockBuy]:
|
||
stocks = ModelClass.query.options(
|
||
joinedload(ModelClass.base)
|
||
).filter(
|
||
ModelClass.sku.in_(empty_sku_set)
|
||
).all()
|
||
for stock in stocks:
|
||
if stock.sku not in sku_name_map and stock.base:
|
||
sku_name_map[stock.sku] = stock.base.name
|
||
|
||
# 步骤 3：为每条记录注入 material_name（含 SKU 兜底）
|
||
for item in items:
|
||
item_dict = item.to_dict()
|
||
material_name = stock_map.get((item.source_table, item.stock_id), '')
|
||
if not material_name and item.sku:
|
||
material_name = sku_name_map.get(item.sku, '')
|
||
item_dict['material_name'] = material_name
|
||
items_with_names.append(item_dict)
|
||
|
||
return {
|
||
'items': items_with_names,
|
||
'total': total_orders,
|
||
'page': page,
|
||
'limit': limit
|
||
}
|
||
except Exception as e:
|
||
# ★ 捕鼠器：把任何 SQL/运行时错误以 500 + traceback 返回，避免静默吞噬
|
||
import traceback
|
||
return {
|
||
'code': 500,
|
||
'msg': str(e),
|
||
'trace': traceback.format_exc(),
|
||
'items': [],
|
||
'total': 0,
|
||
'page': page,
|
||
'limit': limit
|
||
}
|