528 lines
21 KiB
Python
528 lines
21 KiB
Python
import uuid # .material -> .base refactor checked
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from datetime import datetime, timezone, timedelta
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from sqlalchemy import or_, func, desc, and_
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from app.extensions import db
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from app.models.outbound import TransOutbound
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# 引入所有库存模型以进行查询
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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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# 引入基础信息表
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from app.models.base import MaterialBase
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# 引入维修单表
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from app.models.transaction import TransRepair
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class OutboundService:
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@staticmethod
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def generate_outbound_no():
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"""
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生成出库单号: OUT-yyyyMMdd-HHmm-当日流水(4位)
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例如: OUT-20260205-1558-0001
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"""
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beijing_tz = timezone(timedelta(hours=8))
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now = datetime.now(beijing_tz)
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date_str = now.strftime('%Y%m%d')
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time_str = now.strftime('%H%M')
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prefix = f"OUT-{date_str}-"
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existing_count = db.session.query(func.count(func.distinct(TransOutbound.outbound_no))) \
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.filter(TransOutbound.outbound_no.like(f"{prefix}%")).scalar()
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sequence = existing_count + 1
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return f"OUT-{date_str}-{time_str}-{sequence:04d}"
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@staticmethod
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def get_stock_by_barcode(barcode):
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"""
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根据扫码内容查找对应的库存物品，并附带价格信息
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"""
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if not barcode:
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return None
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clean_code = barcode.strip()
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def get_price(item, table_type):
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if table_type == 'stock_product':
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return float(item.sale_price) if item.sale_price else 0
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elif table_type == 'stock_buy':
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return float(item.pre_tax_unit_price) if item.pre_tax_unit_price else 0
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return 0
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prod = StockProduct.query.filter(
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or_(StockProduct.barcode == clean_code, StockProduct.sku == clean_code)
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).first()
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if prod:
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res = OutboundService._format_scan_result(prod, 'stock_product')
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res['price'] = get_price(prod, 'stock_product')
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return res
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semi = StockSemi.query.filter(
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or_(StockSemi.barcode == clean_code, StockSemi.sku == clean_code)
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).first()
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if semi:
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res = OutboundService._format_scan_result(semi, 'stock_semi')
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res['price'] = 0
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return res
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buy = StockBuy.query.filter(
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or_(StockBuy.barcode == clean_code, StockBuy.sku == clean_code)
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).first()
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if buy:
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res = OutboundService._format_scan_result(buy, 'stock_buy')
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res['price'] = get_price(buy, 'stock_buy')
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return res
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# 查询维修单表 (按SKU或序列号查询，排除已出库状态)
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repair = TransRepair.query.filter(
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or_(TransRepair.sku == clean_code, TransRepair.serial_number == clean_code)
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).filter(
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TransRepair.repair_status != '已出库'
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).first()
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if repair:
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res = {
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'id': repair.id,
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'sku': repair.sku,
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'name': repair.material_name or "维修件",
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'spec_model': "",
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'category': "",
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'material_type': "",
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'source_table': 'trans_repair',
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'stock_quantity': 1,
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'available_quantity': 1,
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'batch_number': repair.serial_number or '',
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'serial_number': repair.serial_number or '',
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'warehouse_location': repair.customer_location or '',
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'barcode': repair.sku,
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'price': float(repair.sale_price) if repair.sale_price else 0
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}
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return res
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return None
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@staticmethod
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def _format_scan_result(item, table_name):
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base_name = ""
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base_spec = ""
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base_cat = ""
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base_type = ""
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if hasattr(item, 'base') and item.base:
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base_name = item.base.name
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base_spec = item.base.spec_model
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base_cat = item.base.category
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base_type = item.base.material_type
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if not base_name and hasattr(item, 'base_id') and item.base_id:
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try:
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base_info = MaterialBase.query.get(item.base_id)
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if base_info:
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base_name = base_info.name
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base_spec = base_info.spec_model
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base_cat = base_info.category
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base_type = base_info.material_type
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except Exception:
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pass
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if not base_name and hasattr(item, 'base') and item.base:
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base_name = item.base.name
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stock_qty = float(item.stock_quantity) if item.stock_quantity else 0
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avail_qty = float(item.available_quantity) if item.available_quantity else 0
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return {
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'id': item.id,
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'sku': item.sku,
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'name': base_name or "未知物品",
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'spec_model': base_spec or "",
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'category': base_cat or "",
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'material_type': base_type or "",
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'source_table': table_name,
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'stock_quantity': stock_qty,
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'available_quantity': avail_qty,
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'batch_number': getattr(item, 'batch_number', ''),
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'warehouse_location': getattr(item, 'warehouse_location', ''),
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'barcode': getattr(item, 'barcode', '')
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}
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@staticmethod
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def create_outbound_batch(data, operator_name='System'):
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items = data.get('items', [])
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if not items:
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raise ValueError("出库商品列表不能为空")
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outbound_no = OutboundService.generate_outbound_no()
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common_data = {
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'outbound_no': outbound_no,
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'consumer_name': data.get('consumer_name'),
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'outbound_type': data.get('outbound_type', 'SALES'),
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'signature_path': data.get('signature_path'),
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'operator_name': operator_name,
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'remark': data.get('remark')
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}
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beijing_tz = timezone(timedelta(hours=8))
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current_time = datetime.now(beijing_tz).replace(tzinfo=None)
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model_map = {
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'stock_buy': StockBuy,
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'stock_semi': StockSemi,
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'stock_product': StockProduct
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}
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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('stock_id')
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quantity = float(item.get('quantity', 0))
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unit_price = float(item.get('price', 0))
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if quantity <= 0:
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raise ValueError(f"SKU {item.get('sku')} 的出库数量必须大于0")
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# 处理维修单出库
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if source_table == 'trans_repair':
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repair = TransRepair.query.with_for_update().get(stock_id)
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if not repair:
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raise ValueError(f"维修单不存在 (ID: {stock_id})")
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# 更新维修单状态为已出库
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repair.repair_status = '已出库'
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repair.shipping_date = current_time
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# 创建出库记录
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new_record = TransOutbound(
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sku=item.get('sku'),
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source_table=source_table,
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stock_id=stock_id,
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barcode=item.get('barcode'),
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quantity=quantity,
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unit_price=unit_price,
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outbound_time=current_time,
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**common_data
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)
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db.session.add(new_record)
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continue
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ModelClass = model_map.get(source_table)
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if not ModelClass:
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continue
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stock_record = ModelClass.query.with_for_update().get(stock_id)
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if not stock_record:
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raise ValueError(f"库存记录不存在 (ID: {stock_id})")
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if float(stock_record.available_quantity) < quantity:
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raise ValueError(f"SKU {stock_record.sku} 库存不足，当前可用: {stock_record.available_quantity}")
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stock_record.stock_quantity = float(stock_record.stock_quantity) - quantity
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stock_record.available_quantity = float(stock_record.available_quantity) - quantity
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new_record = TransOutbound(
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sku=item.get('sku'),
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source_table=source_table,
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stock_id=stock_id,
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barcode=item.get('barcode'),
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quantity=quantity,
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unit_price=unit_price,
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outbound_time=current_time,
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**common_data
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)
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db.session.add(new_record)
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db.session.commit()
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return outbound_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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@staticmethod
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def get_grouped_list(page=1, per_page=10, keyword=None, search_type='all', start_date=None, end_date=None):
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"""
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查询出库记录（按出库单号分组），包含详细物品信息
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支持跨表搜索：单号、领用人、SKU、物料名称、规格型号
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search_type: all, no, name, sku, material_name, spec_model
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"""
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# 日期补全：解决零点截断问题
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if end_date and len(str(end_date).strip()) == 10:
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end_date = f"{str(end_date).strip()} 23:59:59"
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if start_date and len(str(start_date).strip()) == 10:
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start_date = f"{str(start_date).strip()} 00:00:00"
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# 1. 构建基础查询
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# 如果有关键词，需要联表搜索物料名称和规格型号
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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(TransOutbound.outbound_no).join(
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StockBuy, and_(
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TransOutbound.stock_id == StockBuy.id,
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TransOutbound.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(TransOutbound.outbound_no).join(
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StockSemi, and_(
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TransOutbound.stock_id == StockSemi.id,
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TransOutbound.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(TransOutbound.outbound_no).join(
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StockProduct, and_(
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TransOutbound.stock_id == StockProduct.id,
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TransOutbound.source_table == 'stock_product'
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)
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).join(
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MaterialBase, StockProduct.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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# 合并三种来源的匹配单号
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all_matches = db.session.query(buy_match.c.outbound_no).union(
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db.session.query(semi_match.c.outbound_no),
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db.session.query(product_match.c.outbound_no)
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).subquery()
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keyword_conditions = or_(
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TransOutbound.outbound_no.ilike(f'%{keyword}%'),
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TransOutbound.consumer_name.ilike(f'%{keyword}%'),
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TransOutbound.sku.ilike(f'%{keyword}%'),
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TransOutbound.outbound_no.in_(all_matches)
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)
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elif search_type == 'no':
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keyword_conditions = TransOutbound.outbound_no.ilike(f'%{keyword}%')
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elif search_type == 'name':
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keyword_conditions = TransOutbound.consumer_name.ilike(f'%{keyword}%')
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elif search_type == 'sku':
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keyword_conditions = TransOutbound.sku.ilike(f'%{keyword}%')
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elif search_type == 'material_name':
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# 联表查询物料名称
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buy_match = db.session.query(TransOutbound.outbound_no).join(
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StockBuy, and_(
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TransOutbound.stock_id == StockBuy.id,
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TransOutbound.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(MaterialBase.name.ilike(f'%{keyword}%')).subquery()
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semi_match = db.session.query(TransOutbound.outbound_no).join(
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StockSemi, and_(
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TransOutbound.stock_id == StockSemi.id,
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TransOutbound.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(MaterialBase.name.ilike(f'%{keyword}%')).subquery()
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product_match = db.session.query(TransOutbound.outbound_no).join(
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StockProduct, and_(
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TransOutbound.stock_id == StockProduct.id,
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TransOutbound.source_table == 'stock_product'
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)
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).join(
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MaterialBase, StockProduct.base_id == MaterialBase.id
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).filter(MaterialBase.name.ilike(f'%{keyword}%')).subquery()
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all_matches = db.session.query(buy_match.c.outbound_no).union(
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db.session.query(semi_match.c.outbound_no),
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db.session.query(product_match.c.outbound_no)
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).subquery()
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keyword_conditions = TransOutbound.outbound_no.in_(all_matches)
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elif search_type == 'spec_model':
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# 联表查询规格型号
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buy_match = db.session.query(TransOutbound.outbound_no).join(
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StockBuy, and_(
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TransOutbound.stock_id == StockBuy.id,
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TransOutbound.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(MaterialBase.spec_model.ilike(f'%{keyword}%')).subquery()
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semi_match = db.session.query(TransOutbound.outbound_no).join(
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StockSemi, and_(
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TransOutbound.stock_id == StockSemi.id,
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TransOutbound.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(MaterialBase.spec_model.ilike(f'%{keyword}%')).subquery()
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product_match = db.session.query(TransOutbound.outbound_no).join(
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StockProduct, and_(
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TransOutbound.stock_id == StockProduct.id,
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TransOutbound.source_table == 'stock_product'
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)
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).join(
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MaterialBase, StockProduct.base_id == MaterialBase.id
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).filter(MaterialBase.spec_model.ilike(f'%{keyword}%')).subquery()
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all_matches = db.session.query(buy_match.c.outbound_no).union(
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db.session.query(semi_match.c.outbound_no),
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db.session.query(product_match.c.outbound_no)
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).subquery()
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keyword_conditions = TransOutbound.outbound_no.in_(all_matches)
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else:
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keyword_conditions = None
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else:
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keyword_conditions = None
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stmt = db.session.query(
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TransOutbound.outbound_no,
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func.max(TransOutbound.outbound_time).label('max_time')
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).group_by(TransOutbound.outbound_no)
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if keyword_conditions is not None:
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stmt = stmt.filter(keyword_conditions)
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if start_date and end_date:
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stmt = stmt.filter(TransOutbound.outbound_time.between(start_date, end_date))
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stmt = stmt.order_by(desc('max_time'))
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# 使用 distinct 确保跨表查询不重复
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stmt = stmt.distinct()
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pagination = stmt.paginate(page=page, per_page=per_page, error_out=False)
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outbound_nos = [row.outbound_no for row in pagination.items]
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if not outbound_nos:
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return {
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'items': [],
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'total': 0,
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'pages': 0,
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'current_page': page
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}
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# 2. 查询详细记录
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details = TransOutbound.query.filter(TransOutbound.outbound_no.in_(outbound_nos)).all()
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# 3. 组装数据并查询物品详情
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grouped_map = {}
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# 映射表模型以便查询
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model_map = {
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'stock_buy': StockBuy,
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'stock_semi': StockSemi,
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'stock_product': StockProduct
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}
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for d in details:
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ono = d.outbound_no
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if ono not in grouped_map:
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grouped_map[ono] = {
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'outbound_no': ono,
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'outbound_time': d.outbound_time.strftime('%Y-%m-%d %H:%M:%S'),
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'outbound_type': d.outbound_type,
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'consumer_name': d.consumer_name,
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'operator_name': d.operator_name,
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'signature_path': d.signature_path,
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'remark': d.remark,
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'total_amount': 0.0,
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'items': []
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}
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# --- 查询物品详细信息 (名称, 规格, 类型, 类别, 批号/SN) ---
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item_name = "未知物品"
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item_spec = ""
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item_cat = ""
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item_type = ""
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batch_sn = "-"
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ModelClass = model_map.get(d.source_table)
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if ModelClass and d.stock_id:
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# 注意：这里在循环中查询可能会有N+1问题，但考虑到单页数据量（通常每单条目不多），暂时可接受
|
||
# 生产环境建议优化为预加载或批量查询
|
||
try:
|
||
stock_item = ModelClass.query.get(d.stock_id)
|
||
if stock_item:
|
||
# 获取批号/序列号用于追溯
|
||
batch_sn = getattr(stock_item, 'batch_number', None) or getattr(stock_item, 'serial_number', None) or '-'
|
||
if stock_item.base:
|
||
item_name = stock_item.base.name
|
||
item_spec = stock_item.base.spec_model
|
||
item_cat = stock_item.base.category
|
||
item_type = stock_item.base.material_type
|
||
elif stock_item and hasattr(stock_item, 'base_id') and stock_item.base_id:
|
||
base_info = MaterialBase.query.get(stock_item.base_id)
|
||
if base_info:
|
||
item_name = base_info.name
|
||
item_spec = base_info.spec_model
|
||
item_cat = base_info.category
|
||
item_type = base_info.material_type
|
||
except Exception as e:
|
||
print(f"Error fetching detail for stock_id {d.stock_id}: {e}")
|
||
|
||
# 计算金额
|
||
price = float(d.unit_price) if d.unit_price else 0
|
||
qty = float(d.quantity)
|
||
subtotal = price * qty
|
||
|
||
grouped_map[ono]['total_amount'] += subtotal
|
||
|
||
grouped_map[ono]['items'].append({
|
||
'sku': d.sku,
|
||
'name': item_name,
|
||
'spec_model': item_spec,
|
||
'category': item_cat,
|
||
'material_type': item_type,
|
||
'quantity': qty,
|
||
'unit_price': price,
|
||
'subtotal': subtotal,
|
||
'batch_sn': batch_sn
|
||
})
|
||
|
||
# 4. 排序输出
|
||
result_list = []
|
||
for ono in outbound_nos:
|
||
if ono in grouped_map:
|
||
obj = grouped_map[ono]
|
||
obj['items'].sort(key=lambda x: x['unit_price'], reverse=True)
|
||
obj['total_amount'] = round(obj['total_amount'], 2)
|
||
result_list.append(obj)
|
||
|
||
return {
|
||
'items': result_list,
|
||
'total': pagination.total,
|
||
'pages': pagination.pages,
|
||
'current_page': page
|
||
}
|