Files
KCGL/inventory-backend/app/services/outbound_service.py

383 lines
14 KiB
Python
Raw Normal View History

import uuid # .material -> .base refactor checked
from datetime import datetime, timezone, timedelta
from sqlalchemy import or_, func, desc, and_
from app.extensions import db
from app.models.outbound import TransOutbound
# 引入所有库存模型以进行查询
from app.models.inbound.buy import StockBuy
from app.models.inbound.semi import StockSemi
from app.models.inbound.product import StockProduct
# 引入基础信息表
from app.models.base import MaterialBase
class OutboundService:
@staticmethod
def generate_outbound_no():
2026-02-05 14:36:36 +08:00
"""
生成出库单号: OUT-yyyyMMdd-HHmm-当日流水(4位)
例如: OUT-20260205-1558-0001
2026-02-05 14:36:36 +08:00
"""
beijing_tz = timezone(timedelta(hours=8))
now = datetime.now(beijing_tz)
2026-02-05 14:36:36 +08:00
date_str = now.strftime('%Y%m%d')
time_str = now.strftime('%H%M')
prefix = f"OUT-{date_str}-"
existing_count = db.session.query(func.count(func.distinct(TransOutbound.outbound_no))) \
.filter(TransOutbound.outbound_no.like(f"{prefix}%")).scalar()
sequence = existing_count + 1
return f"OUT-{date_str}-{time_str}-{sequence:04d}"
@staticmethod
def get_stock_by_barcode(barcode):
"""
根据扫码内容查找对应的库存物品,并附带价格信息
"""
if not barcode:
return None
clean_code = barcode.strip()
def get_price(item, table_type):
if table_type == 'stock_product':
return float(item.sale_price) if item.sale_price else 0
elif table_type == 'stock_buy':
return float(item.pre_tax_unit_price) if item.pre_tax_unit_price else 0
return 0
prod = StockProduct.query.filter(
or_(StockProduct.barcode == clean_code, StockProduct.sku == clean_code)
).first()
if prod:
res = OutboundService._format_scan_result(prod, 'stock_product')
res['price'] = get_price(prod, 'stock_product')
return res
semi = StockSemi.query.filter(
or_(StockSemi.barcode == clean_code, StockSemi.sku == clean_code)
).first()
if semi:
res = OutboundService._format_scan_result(semi, 'stock_semi')
res['price'] = 0
return res
buy = StockBuy.query.filter(
or_(StockBuy.barcode == clean_code, StockBuy.sku == clean_code)
).first()
if buy:
res = OutboundService._format_scan_result(buy, 'stock_buy')
res['price'] = get_price(buy, 'stock_buy')
return res
return None
@staticmethod
def _format_scan_result(item, table_name):
base_name = ""
base_spec = ""
base_cat = ""
base_type = ""
if hasattr(item, 'base') and item.base:
base_name = item.base.name
base_spec = item.base.spec_model
base_cat = item.base.category
base_type = item.base.material_type
if not base_name and hasattr(item, 'base_id') and item.base_id:
try:
base_info = MaterialBase.query.get(item.base_id)
if base_info:
base_name = base_info.name
base_spec = base_info.spec_model
base_cat = base_info.category
base_type = base_info.material_type
except Exception:
pass
if not base_name and hasattr(item, 'material_name'):
base_name = item.material_name
stock_qty = float(item.stock_quantity) if item.stock_quantity else 0
avail_qty = float(item.available_quantity) if item.available_quantity else 0
return {
'id': item.id,
'sku': item.sku,
'name': base_name or "未知物品",
'spec_model': base_spec or "",
'category': base_cat or "",
'material_type': base_type or "",
'source_table': table_name,
'stock_quantity': stock_qty,
'available_quantity': avail_qty,
'batch_number': getattr(item, 'batch_number', ''),
'warehouse_location': getattr(item, 'warehouse_location', ''),
'barcode': getattr(item, 'barcode', '')
}
@staticmethod
def create_outbound_batch(data, operator_name='System'):
items = data.get('items', [])
if not items:
raise ValueError("出库商品列表不能为空")
outbound_no = OutboundService.generate_outbound_no()
common_data = {
'outbound_no': outbound_no,
'consumer_name': data.get('consumer_name'),
'outbound_type': data.get('outbound_type', 'SALES'),
'signature_path': data.get('signature_path'),
'operator_name': operator_name,
'remark': data.get('remark')
}
beijing_tz = timezone(timedelta(hours=8))
current_time = datetime.now(beijing_tz).replace(tzinfo=None)
model_map = {
'stock_buy': StockBuy,
'stock_semi': StockSemi,
'stock_product': StockProduct
}
try:
for item in items:
source_table = item.get('source_table')
stock_id = item.get('stock_id')
quantity = float(item.get('quantity', 0))
unit_price = float(item.get('price', 0))
if quantity <= 0:
raise ValueError(f"SKU {item.get('sku')} 的出库数量必须大于0")
ModelClass = model_map.get(source_table)
if not ModelClass:
continue
stock_record = ModelClass.query.with_for_update().get(stock_id)
if not stock_record:
raise ValueError(f"库存记录不存在 (ID: {stock_id})")
if float(stock_record.available_quantity) < quantity:
raise ValueError(f"SKU {stock_record.sku} 库存不足,当前可用: {stock_record.available_quantity}")
stock_record.stock_quantity = float(stock_record.stock_quantity) - quantity
stock_record.available_quantity = float(stock_record.available_quantity) - quantity
new_record = TransOutbound(
sku=item.get('sku'),
source_table=source_table,
stock_id=stock_id,
barcode=item.get('barcode'),
quantity=quantity,
unit_price=unit_price,
outbound_time=current_time,
**common_data
)
db.session.add(new_record)
db.session.commit()
return outbound_no
except Exception as e:
db.session.rollback()
raise e
@staticmethod
def get_grouped_list(page=1, per_page=10, keyword=None, start_date=None, end_date=None):
"""
查询出库记录(按出库单号分组),包含详细物品信息
支持跨表搜索:单号、领用人、SKU、物料名称、规格型号
"""
# 1. 构建基础查询
# 如果有关键词,需要联表搜索物料名称和规格型号
if keyword:
# 由于 TransOutbound 通过 source_table + stock_id 关联到不同库存表,再关联到 MaterialBase
# 需要使用 union 或分别查询后合并
# 方案:分别查询三种来源的 matching outbound_no,然后合并
# 查询 stock_buy 路径匹配的名称/规格
buy_match = db.session.query(TransOutbound.outbound_no).join(
StockBuy, and_(
TransOutbound.stock_id == StockBuy.id,
TransOutbound.source_table == 'stock_buy'
)
).join(
MaterialBase, StockBuy.base_id == MaterialBase.id
).filter(
or_(
MaterialBase.name.ilike(f'%{keyword}%'),
MaterialBase.spec_model.ilike(f'%{keyword}%')
)
).subquery()
# 查询 stock_semi 路径匹配的名称/规格
semi_match = db.session.query(TransOutbound.outbound_no).join(
StockSemi, and_(
TransOutbound.stock_id == StockSemi.id,
TransOutbound.source_table == 'stock_semi'
)
).join(
MaterialBase, StockSemi.base_id == MaterialBase.id
).filter(
or_(
MaterialBase.name.ilike(f'%{keyword}%'),
MaterialBase.spec_model.ilike(f'%{keyword}%')
)
).subquery()
# 查询 stock_product 路径匹配的名称/规格
product_match = db.session.query(TransOutbound.outbound_no).join(
StockProduct, and_(
TransOutbound.stock_id == StockProduct.id,
TransOutbound.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单号
all_matches = db.session.query(buy_match.outbound_no).union(
db.session.query(semi_match.outbound_no),
db.session.query(product_match.outbound_no)
).subquery()
# 主搜索条件:单号、领用人、SKU + 物料名称/规格匹配的单号
keyword_conditions = or_(
TransOutbound.outbound_no.ilike(f'%{keyword}%'),
TransOutbound.consumer_name.ilike(f'%{keyword}%'),
TransOutbound.sku.ilike(f'%{keyword}%'),
TransOutbound.outbound_no.in_(all_matches)
)
else:
keyword_conditions = None
stmt = db.session.query(
TransOutbound.outbound_no,
func.max(TransOutbound.outbound_time).label('max_time')
).group_by(TransOutbound.outbound_no)
if keyword_conditions is not None:
stmt = stmt.filter(keyword_conditions)
if start_date and end_date:
stmt = stmt.filter(TransOutbound.outbound_time.between(start_date, end_date))
stmt = stmt.order_by(desc('max_time'))
# 使用 distinct 确保跨表查询不重复
stmt = stmt.distinct()
pagination = stmt.paginate(page=page, per_page=per_page, error_out=False)
outbound_nos = [row.outbound_no for row in pagination.items]
if not outbound_nos:
return {
'items': [],
'total': 0,
'pages': 0,
'current_page': page
}
# 2. 查询详细记录
details = TransOutbound.query.filter(TransOutbound.outbound_no.in_(outbound_nos)).all()
# 3. 组装数据并查询物品详情
grouped_map = {}
# 映射表模型以便查询
model_map = {
'stock_buy': StockBuy,
'stock_semi': StockSemi,
'stock_product': StockProduct
}
for d in details:
ono = d.outbound_no
if ono not in grouped_map:
grouped_map[ono] = {
'outbound_no': ono,
'outbound_time': d.outbound_time.strftime('%Y-%m-%d %H:%M:%S'),
'outbound_type': d.outbound_type,
'consumer_name': d.consumer_name,
'operator_name': d.operator_name,
'signature_path': d.signature_path,
'remark': d.remark,
'total_amount': 0.0,
'items': []
}
# --- 查询物品详细信息 (名称, 规格, 类型, 类别) ---
item_name = "未知物品"
item_spec = ""
item_cat = ""
item_type = ""
ModelClass = model_map.get(d.source_table)
if ModelClass and d.stock_id:
# 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 and 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
})
# 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
}