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KCGL/inventory-backend/app/services/inbound/base_service.py

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# 文件路径: app/services/inbound/base_service.py
from app.extensions import db
from app.models.base import MaterialBase, MaterialWarningSetting
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from app.models.inbound.buy import StockBuy
from app.models.inbound.semi import StockSemi
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from app.models.inbound.product import StockProduct
# from app.models.inbound.service import StockService
from sqlalchemy import or_, and_, func, case, desc, asc, cast, Numeric, text
import traceback
import json
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import io
import datetime
# 需要 pip install openpyxl
from openpyxl import Workbook
from openpyxl.styles import Font, Alignment, Border, Side, PatternFill
from collections import defaultdict
class MaterialBaseService:
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"""
基础物料服务层
负责处理 MaterialBase 的增删改查及搜索逻辑
"""
@staticmethod
def search_material(keyword):
"""
根据关键字搜索已启用的基础物料
(供 /api/v1/inbound/base/search 接口调用)
"""
try:
if not keyword:
return []
query = MaterialBase.query.filter(
MaterialBase.is_enabled == True,
or_(
MaterialBase.name.ilike(f'%{keyword}%'),
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MaterialBase.common_name.ilike(f'%{keyword}%'),
MaterialBase.spec_model.ilike(f'%{keyword}%'),
# 支持搜索公司名
MaterialBase.company_name.ilike(f'%{keyword}%')
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)
)
# [修改1] 增加返回数量限制
# 原为 limit(20),现改为 1000,确保前端能获取所有(或足够多)的数据
query = query.limit(1000)
# 获取查询结果对象列表
db_items = query.all()
# [修改2] 规格型号排序逻辑
# 要求:只考虑 '/' 前面的内容进行排序
# 使用 Python 的 sort 方法,提取 spec_model 中 '/' 前的部分
def get_sort_key(item):
if not item.spec_model:
return ""
# 如果包含 '/',取前半部分;否则取整个字符串
parts = item.spec_model.split('/')
return parts[0] if len(parts) > 0 else item.spec_model
# 执行排序
db_items.sort(key=get_sort_key)
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results = []
for item in db_items:
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results.append({
'id': item.id, # 必须保留ID供前端逻辑使用,视觉上的隐藏请在前端处理
'companyName': item.company_name,
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'name': item.name,
'commonName': item.common_name,
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'spec': item.spec_model,
'category': item.category,
'unit': item.unit,
'type': item.material_type,
'status': '启用'
})
return results
except Exception as e:
traceback.print_exc()
return []
@staticmethod
def _get_stock_counts(stock_query):
"""
辅助函数:安全计算库存列表的总数量
"""
total_inv = 0
total_avail = 0
try:
items = list(stock_query) # 触发查询
except:
items = []
for x in items:
# 1. 获取库存数 (兼容不同字段名)
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q = getattr(x, 'stock_quantity', getattr(x, 'in_quantity', 0)) # 优先取库存,其次入库
# 2. 获取可用数
a = getattr(x, 'available_quantity', q)
try:
total_inv += float(q if q is not None else 0)
total_avail += float(a if a is not None else 0)
except:
pass
return total_inv, total_avail
@staticmethod
def get_list(page, limit, filters=None, user_permissions=None):
"""
获取基础信息列表 (带分页、高级筛选和全字段排序)
支持库存预警功能(如果用户有 view_warning 权限)
"""
try:
# 检查用户是否有查看预警的权限
has_warning_permission = False
if user_permissions:
# 超级管理员有所有权限
if '*' in user_permissions or 'material_list:*' in user_permissions:
has_warning_permission = True
elif 'material_list:view_warning' in user_permissions:
has_warning_permission = True
# 构建聚合子查询
buy_sub = db.session.query(
StockBuy.base_id,
func.sum(StockBuy.stock_quantity).label('buy_inv'),
func.sum(StockBuy.available_quantity).label('buy_avail')
).group_by(StockBuy.base_id).subquery()
semi_sub = db.session.query(
StockSemi.base_id,
func.sum(StockSemi.stock_quantity).label('semi_inv'),
func.sum(StockSemi.available_quantity).label('semi_avail')
).group_by(StockSemi.base_id).subquery()
prod_sub = db.session.query(
StockProduct.base_id,
func.sum(StockProduct.stock_quantity).label('prod_inv'),
func.sum(StockProduct.available_quantity).label('prod_avail')
).group_by(StockProduct.base_id).subquery()
# 总库存和可用数的 SQL 表达式
total_inv = func.coalesce(buy_sub.c.buy_inv, 0) + \
func.coalesce(semi_sub.c.semi_inv, 0) + \
func.coalesce(prod_sub.c.prod_inv, 0)
total_avail = func.coalesce(buy_sub.c.buy_avail, 0) + \
func.coalesce(semi_sub.c.semi_avail, 0) + \
func.coalesce(prod_sub.c.prod_avail, 0)
# 导入预警设置模型
from app.models.base import MaterialWarningSetting
# 主查询,关联聚合子查询和预警设置
query = db.session.query(
MaterialBase,
total_inv.label('total_inv'),
total_avail.label('total_avail'),
MaterialWarningSetting.is_enabled.label('warning_enabled'),
MaterialWarningSetting.yellow_threshold.label('warning_yellow'),
MaterialWarningSetting.red_threshold.label('warning_red')
).outerjoin(buy_sub, MaterialBase.id == buy_sub.c.base_id) \
.outerjoin(semi_sub, MaterialBase.id == semi_sub.c.base_id) \
.outerjoin(prod_sub, MaterialBase.id == prod_sub.c.base_id) \
.outerjoin(MaterialWarningSetting, MaterialBase.id == MaterialWarningSetting.base_id)
if filters:
# 1. 关键词精准搜索(支持指定字段)
search_field = filters.get('searchField', 'all')
keyword = filters.get('keyword')
if keyword:
kw = f"%{keyword}%"
if search_field == 'name':
query = query.filter(MaterialBase.name.ilike(kw))
elif search_field == 'common_name':
query = query.filter(MaterialBase.common_name.ilike(kw))
elif search_field == 'spec':
query = query.filter(MaterialBase.spec_model.ilike(kw))
else: # 'all' 默认全局模糊匹配
query = query.filter(or_(
MaterialBase.name.ilike(kw),
MaterialBase.common_name.ilike(kw),
MaterialBase.spec_model.ilike(kw)
))
# 2. 精确筛选
company = filters.get('company')
if company is not None and company != '':
query = query.filter(MaterialBase.company_name.ilike(company.strip()))
category = filters.get('category')
if category is not None and category != '':
query = query.filter(MaterialBase.category.ilike(category.strip()))
type_val = filters.get('type')
if type_val is not None and type_val != '':
query = query.filter(MaterialBase.material_type.ilike(type_val.strip()))
# 【核心修改】:增强布尔值解析
if filters.get('isEnabled') is not None:
val_str = str(filters['isEnabled']).lower()
is_active = val_str in ['1', 'true', 'yes', 't']
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# 必须使用 filter() 而非 filter_by(),因为 query 是 join 后的复杂查询
query = query.filter(MaterialBase.is_enabled == is_active)
# 【新增】:库存状态筛选 (has_stock)
has_stock = filters.get('has_stock')
if has_stock and str(has_stock).lower() in ['true', '1', 'yes']:
query = query.filter(total_inv > 0)
# 3. 高级动态筛选
advanced_filters = filters.get('advancedFilters', [])
if advanced_filters:
allowed_fields = {
'companyName': 'company_name',
'name': 'name',
'commonName': 'common_name',
'category': 'category',
'type': 'material_type',
'spec': 'spec_model',
'unit': 'unit',
'inventoryCount': total_inv,
'availableCount': total_avail
}
# 字段到权限码的映射
field_permission_map = {
'companyName': 'material_list:companyName',
'name': 'material_list:name',
'commonName': 'material_list:commonName',
'category': 'material_list:category',
'type': 'material_list:type',
'spec': 'material_list:spec',
'unit': 'material_list:unit',
'inventoryCount': 'material_list:inventoryCount',
'availableCount': 'material_list:availableCount'
}
filter_conditions = []
for condition in advanced_filters:
field = condition.get('field')
operator = condition.get('operator')
value = condition.get('value')
if not field or not operator or value is None:
continue
db_field = allowed_fields.get(field)
if not db_field:
continue
# 权限校验
if user_permissions is not None:
perm_code = field_permission_map.get(field)
if 'material_list:*' in user_permissions:
# 超级管理员拥有全部权限
pass
elif perm_code and perm_code not in user_permissions:
# 无权限,跳过该条件
continue
# 对于聚合字段 (inventoryCount, availableCount),需要使用子查询别名
if isinstance(db_field, type(total_inv)):
column = db_field
else:
column = getattr(MaterialBase, db_field, None)
if column is None:
continue
# 处理操作符
# 对于数值型列(聚合字段)只支持 eq, ne, ge, le
if isinstance(column, type(total_inv)):
# 数值型列
try:
num_val = float(value)
except ValueError:
# 转换失败则跳过该条件
continue
if operator == 'eq':
filter_conditions.append(column == num_val)
elif operator == 'ne':
filter_conditions.append(column != num_val)
elif operator == 'ge':
filter_conditions.append(column >= num_val)
elif operator == 'le':
filter_conditions.append(column <= num_val)
# 对于 contains 操作符,数值型列不支持,忽略
else:
# 字符串型列
if operator == 'eq':
filter_conditions.append(column == value)
elif operator == 'ne':
filter_conditions.append(column != value)
elif operator == 'contains':
filter_conditions.append(column.ilike(f'%{value}%'))
elif operator == 'ge':
try:
num_val = float(value)
filter_conditions.append(column >= num_val)
except ValueError:
continue
elif operator == 'le':
try:
num_val = float(value)
filter_conditions.append(column <= num_val)
except ValueError:
continue
if filter_conditions:
query = query.filter(and_(*filter_conditions))
# 排序处理(支持全字段)
order_by_column = filters.get('orderByColumn', '')
is_asc = filters.get('isAsc', None)
# 信任前端传递的预警排序开关(前端已基于权限注入)
enable_warning_sort = filters.get('enableWarningSort', False)
if enable_warning_sort:
print("====== [DEBUG] 成功进入预警强排逻辑 ======")
# 强制统一数据类型
red_val = cast(MaterialWarningSetting.red_threshold, Numeric)
yellow_val = cast(MaterialWarningSetting.yellow_threshold, Numeric)
inv_val = cast(total_inv, Numeric)
warning_level = case([
(and_(MaterialWarningSetting.is_enabled.is_(True), inv_val <= red_val), 2),
(and_(MaterialWarningSetting.is_enabled.is_(True), inv_val <= yellow_val), 1)
], else_=0).label('sort_level')
red_shortage = case([
(and_(MaterialWarningSetting.is_enabled.is_(True), inv_val <= red_val), red_val - inv_val)
], else_=0).label('sort_red')
yellow_distance = case([
(and_(MaterialWarningSetting.is_enabled.is_(True), inv_val > red_val, inv_val <= yellow_val), inv_val - red_val)
], else_=999999).label('sort_yellow')
query = query.add_columns(warning_level, red_shortage, yellow_distance)
query = query.order_by(None).order_by(
text("sort_level DESC"),
text("sort_red DESC"),
text("sort_yellow ASC"),
MaterialBase.id.desc()
)
elif order_by_column:
# 字段映射
sort_field_map = {
'companyName': MaterialBase.company_name,
'name': MaterialBase.name,
'commonName': MaterialBase.common_name,
'category': MaterialBase.category,
'type': MaterialBase.material_type,
'spec': MaterialBase.spec_model,
'unit': MaterialBase.unit,
'inventoryCount': total_inv,
'availableCount': total_avail
}
sort_column = sort_field_map.get(order_by_column)
if sort_column is not None:
if is_asc == 'asc':
query = query.order_by(sort_column.asc())
elif is_asc == 'desc':
query = query.order_by(sort_column.desc())
else:
# 默认排序:优先按总库存数降序,当库存相同时,再按规格型号升序
query = query.order_by(total_inv.desc(), MaterialBase.spec_model.asc())
# 分页
pagination = query.paginate(page=page, per_page=limit, error_out=False)
items_list = []
for row in pagination.items:
# 防弹解包逻辑:直接判断自身是否有 to_dict 方法
if hasattr(row, 'to_dict'):
# 说明查询只返回了 MaterialBase 单一对象
item = row
inv = avail = warning_enabled = warning_yellow = warning_red = None
else:
# 说明返回了 Row 对象 (包含多个字段)
item = row[0]
inv = row[1] if len(row) > 1 else None
avail = row[2] if len(row) > 2 else None
warning_enabled = row[3] if len(row) > 3 else False
warning_yellow = row[4] if len(row) > 4 else 0
warning_red = row[5] if len(row) > 5 else 0
# 安全兜底
if not hasattr(item, 'to_dict'):
continue
item_dict = item.to_dict()
item_dict['inventoryCount'] = float(inv) if inv is not None else 0
item_dict['availableCount'] = float(avail) if avail is not None else 0
# 处理预警信息(仅当用户有权限时)
if has_warning_permission:
item_dict['warningEnabled'] = bool(warning_enabled) if warning_enabled is not None else False
item_dict['warningYellow'] = float(warning_yellow) if warning_yellow is not None else None
item_dict['warningRed'] = float(warning_red) if warning_red is not None else None
# 计算预警状态
if warning_enabled and warning_red is not None:
invQty = item_dict['inventoryCount']
if invQty <= warning_red:
item_dict['warningStatus'] = 2 # 红色
elif warning_yellow is not None and invQty <= warning_yellow:
item_dict['warningStatus'] = 1 # 黄色
else:
item_dict['warningStatus'] = 0 # 正常
else:
item_dict['warningStatus'] = 0 # 未开启或未设置
items_list.append(item_dict)
return {"total": pagination.total, "items": items_list}
except Exception as e:
traceback.print_exc()
print(f"查询基础信息列表失败: {e}")
return {"total": 0, "items": []}
@staticmethod
def get_distinct_options():
"""
获取所有已存在的类别、类型、公司 (去重且排序)
"""
try:
# 1. 类别 (获取后在内存或前端做层级处理,这里先按字母序返回扁平列表)
categories = db.session.query(MaterialBase.category) \
.filter(MaterialBase.category != None, MaterialBase.category != '') \
.distinct().all()
# 对类别进行排序
sorted_categories = sorted([c[0] for c in categories])
# 2. 类型
types = db.session.query(MaterialBase.material_type) \
.filter(MaterialBase.material_type != None, MaterialBase.material_type != '') \
.distinct().all()
sorted_types = sorted([t[0] for t in types])
# 3. 公司
companies = db.session.query(MaterialBase.company_name) \
.filter(MaterialBase.company_name != None, MaterialBase.company_name != '') \
.distinct().all()
sorted_companies = sorted([c[0] for c in companies])
return {
"categories": sorted_categories,
"types": sorted_types,
"companies": sorted_companies
}
except Exception as e:
traceback.print_exc()
return {"categories": [], "types": [], "companies": []}
@staticmethod
def create_material(data):
"""新增基础信息"""
try:
if not data.get('name') or not data.get('spec'):
raise ValueError("名称和规格型号不能为空")
exist = MaterialBase.query.filter_by(
name=data['name'],
spec_model=data['spec']
).first()
if exist:
raise ValueError(f"已存在相同名称和规格的数据 (ID: {exist.id})")
# 【核心修改】:兼容前端传来的布尔值
raw_enabled = data.get('isEnabled', True)
is_enabled_val = str(raw_enabled).lower() in ['1', 'true', 'yes', 't'] if raw_enabled is not None else True
new_material = MaterialBase(
company_name=data.get('companyName'),
name=data['name'],
common_name=data.get('commonName'),
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spec_model=data['spec'],
category=data.get('category'),
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material_type=data.get('type'),
unit=data.get('unit'),
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visibility_level=data.get('visibilityLevel'),
manual_link=json.dumps(data.get('generalManual', [])),
product_image=json.dumps(data.get('generalImage', [])),
is_enabled=is_enabled_val
)
db.session.add(new_material)
db.session.commit()
return new_material
except Exception as e:
db.session.rollback()
raise e
@staticmethod
def update_material(m_id, data):
"""修改基础信息"""
try:
material = MaterialBase.query.get(m_id)
if not material:
raise ValueError("数据不存在")
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# 更新字段
if 'companyName' in data: material.company_name = data['companyName']
if 'name' in data: material.name = data['name']
if 'commonName' in data: material.common_name = data['commonName']
if 'spec' in data: material.spec_model = data['spec']
if 'category' in data: material.category = data['category']
if 'type' in data: material.material_type = data['type']
if 'unit' in data: material.unit = data['unit']
if 'visibilityLevel' in data: material.visibility_level = data['visibilityLevel']
if 'generalManual' in data:
material.manual_link = json.dumps(data['generalManual'])
if 'generalImage' in data:
material.product_image = json.dumps(data['generalImage'])
# 【核心修改】:兼容前端传来的布尔值
if 'isEnabled' in data:
raw_enabled = data['isEnabled']
material.is_enabled = str(raw_enabled).lower() in ['1', 'true', 'yes', 't']
db.session.commit()
return material
except Exception as e:
db.session.rollback()
raise e
@staticmethod
def delete_material(m_id):
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"""
删除基础信息 (带依赖检查)
"""
try:
material = MaterialBase.query.get(m_id)
if not material:
raise ValueError("数据不存在")
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buy_usage_count = StockBuy.query.filter_by(base_id=m_id).count()
semi_usage_count = StockSemi.query.filter_by(base_id=m_id).count()
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prod_usage_count = StockProduct.query.filter_by(base_id=m_id).count()
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total_usage = buy_usage_count + semi_usage_count + prod_usage_count
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if total_usage > 0:
raise ValueError(
f"无法删除:该基础物料正被使用中。\n"
f"- 采购库存记录: {buy_usage_count} 条\n"
f"- 半成品库存记录: {semi_usage_count} 条\n"
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f"- 成品库存记录: {prod_usage_count} 条\n"
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f"请先清理相关库存或仅‘禁用’此条目。"
)
db.session.delete(material)
db.session.commit()
return True
except Exception as e:
db.session.rollback()
print(f"删除基础信息失败: {e}")
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raise e
# ==============================================================================
# [核心修改] 统一资产统计导出(增加最高单价计算逻辑)
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# ==============================================================================
@staticmethod
def export_excel(filters=None, user_permissions=None):
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"""
全口径资产统计报表:
根据基础信息列表和库存表,计算出每个物料的最高历史单价并进行导出
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"""
try:
# 1. 构造基础信息的筛选条件 (用于过滤库存)
filter_conditions = []
if filters:
if filters.get('keyword'):
kw = f"%{filters['keyword']}%"
filter_conditions.append(or_(
MaterialBase.name.ilike(kw),
MaterialBase.common_name.ilike(kw),
MaterialBase.spec_model.ilike(kw),
MaterialBase.company_name.ilike(kw)
))
company = filters.get('company')
if company is not None and company != '':
filter_conditions.append(MaterialBase.company_name.ilike(company.strip()))
category = filters.get('category')
if category is not None and category != '':
filter_conditions.append(MaterialBase.category.ilike(category.strip()))
type_val = filters.get('type')
if type_val is not None and type_val != '':
filter_conditions.append(MaterialBase.material_type.ilike(type_val.strip()))
# 【核心修改】:增强布尔值解析
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if filters.get('isEnabled') is not None:
val_str = str(filters['isEnabled']).lower()
is_active = val_str in ['1', 'true', 'yes', 't']
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filter_conditions.append(MaterialBase.is_enabled == is_active)
# 2. 分别查询三个库存表,并 Join MaterialBase 进行筛选
# 2.1 采购库存 (StockBuy)
query_buy = db.session.query(StockBuy, MaterialBase).join(
MaterialBase, StockBuy.base_id == MaterialBase.id
)
for cond in filter_conditions:
query_buy = query_buy.filter(cond)
list_buy = query_buy.all()
# 2.2 半成品库存 (StockSemi)
query_semi = db.session.query(StockSemi, MaterialBase).join(
MaterialBase, StockSemi.base_id == MaterialBase.id
)
for cond in filter_conditions:
query_semi = query_semi.filter(cond)
list_semi = query_semi.all()
# 2.3 成品库存 (StockProduct)
query_product = db.session.query(StockProduct, MaterialBase).join(
MaterialBase, StockProduct.base_id == MaterialBase.id
)
for cond in filter_conditions:
query_product = query_product.filter(cond)
list_product = query_product.all()
# ====================================================
# [核心新增] 预先计算每个 base_id 的全局最高历史单价
# 优先级:采购件 > 半成品 > 成品
# ====================================================
buy_max_prices = {}
for stock, base in list_buy:
price = float(stock.pre_tax_unit_price or 0)
if price > buy_max_prices.get(base.id, 0):
buy_max_prices[base.id] = price
semi_max_prices = {}
for stock, base in list_semi:
# 半成品的单价直接取自 manual_cost 字段(单件总成本)
price = float(stock.manual_cost or 0)
if price > semi_max_prices.get(base.id, 0):
semi_max_prices[base.id] = price
product_max_prices = {}
for stock, base in list_product:
# 成品的单价直接取自 manual_cost 字段(单件总成本)
price = float(stock.manual_cost or 0)
if price > product_max_prices.get(base.id, 0):
product_max_prices[base.id] = price
# 构造获取某个物料最高价的闭包函数
def get_highest_price(base_id):
if base_id in buy_max_prices and buy_max_prices[base_id] > 0:
return buy_max_prices[base_id]
if base_id in semi_max_prices and semi_max_prices[base_id] > 0:
return semi_max_prices[base_id]
if base_id in product_max_prices and product_max_prices[base_id] > 0:
return product_max_prices[base_id]
return 0.0
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# 3. 数据整合
all_rows = []
# 处理采购件
for stock, base in list_buy:
qty = float(stock.stock_quantity or 0)
# 使用该物料的全局最高单价作为不含税单价
highest_excl_price = get_highest_price(base.id)
tax_rate = float(stock.tax_rate or 0)
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# 计算含税单价和总额
highest_incl_price = highest_excl_price * (1 + tax_rate / 100.0)
total_val_excl = qty * highest_excl_price
total_val_incl = qty * highest_incl_price
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ident = stock.batch_number or stock.serial_number or stock.barcode or stock.sku
all_rows.append({
"base": base,
"type_name": "采购件",
"ident": ident,
"loc": stock.warehouse_location,
"source": stock.supplier_name,
"date": stock.in_date,
"qty": qty,
"avail": float(stock.available_quantity or 0),
"price_excl": highest_excl_price,
"total_val_excl": total_val_excl,
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"tax": tax_rate,
"price_incl": highest_incl_price,
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"total_val": total_val_incl
})
# 处理半成品
for stock, base in list_semi:
qty = float(stock.stock_quantity or 0)
# 半成品的单价直接取自 manual_cost 字段(单件总成本)
unit_cost = float(stock.manual_cost or 0)
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total_val_excl = qty * unit_cost
total_val_incl = qty * unit_cost # 半成品无税
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ident = stock.batch_number or stock.serial_number or stock.barcode or stock.sku
all_rows.append({
"base": base,
"type_name": "半成品",
"ident": ident,
"loc": stock.warehouse_location,
"source": stock.production_manager,
"date": stock.production_date,
"qty": qty,
"avail": float(stock.available_quantity or 0),
"price_excl": unit_cost,
"total_val_excl": total_val_excl,
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"tax": 0.0,
"price_incl": unit_cost,
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"total_val": total_val_incl
})
# 处理成品
for stock, base in list_product:
qty = float(stock.stock_quantity or 0)
# 成品的单价直接取自 manual_cost 字段(单件总成本)
unit_cost = float(stock.manual_cost or 0)
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total_val_excl = qty * unit_cost
total_val_incl = qty * unit_cost
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ident = stock.serial_number or stock.barcode or stock.sku
all_rows.append({
"base": base,
"type_name": "成品",
"ident": ident,
"loc": stock.warehouse_location,
"source": stock.production_manager,
"date": stock.production_date,
"qty": qty,
"avail": float(stock.available_quantity or 0),
"price_excl": unit_cost,
"total_val_excl": total_val_excl,
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"tax": 0.0,
"price_incl": unit_cost,
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"total_val": total_val_incl
})
# 4. 排序:按公司 -> 规格型号 -> 基础ID -> 批号 排序
all_rows.sort(key=lambda x: (
x['base'].company_name or "",
x['base'].spec_model or "",
x['base'].id,
x['ident'] or ""
))
# 5. 生成 Excel
wb = Workbook()
ws = wb.active
ws.title = "库存统计"
# 表头 (严格对应你的图 5)
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headers = [
"所属公司", "资产名称", "规格型号", "物料类型",
"类别一级", "类别二级", "类别三级", "类别四级", "类别五级",
"计量单位",
"库存性质", "唯一标识码 (批号/SN)", "仓库位置",
"资产来源", "入库/生产日期",
"库存数量", "可用数量",
"单价/成本 (不含税)", "资产总额 (不含税)", "税率 (%)", "单价/成本 (含税)", "资产总额 (含税)"
]
ws.append(headers)
# 确定各字段在表头中的列索引
col_idx = {}
for idx, header in enumerate(headers):
if header == "所属公司":
col_idx['companyName'] = idx
elif header == "资产名称":
col_idx['name'] = idx
elif header == "规格型号":
col_idx['spec'] = idx
elif header == "物料类型":
col_idx['type'] = idx
elif header in ("类别一级", "类别二级", "类别三级", "类别四级", "类别五级"):
col_idx.setdefault('category_cols', []).append(idx)
elif header == "计量单位":
col_idx['unit'] = idx
elif header == "库存数量":
col_idx['inventoryCount'] = idx
elif header == "可用数量":
col_idx['availableCount'] = idx
elif header == "单价/成本 (不含税)":
col_idx['price_excl'] = idx
elif header == "资产总额 (不含税)":
col_idx['total_val_excl'] = idx
elif header == "税率 (%)":
col_idx['tax'] = idx
elif header == "单价/成本 (含税)":
col_idx['price_incl'] = idx
elif header == "资产总额 (含税)":
col_idx['total_val'] = idx
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# 样式
header_fill = PatternFill(start_color="D7E4BC", end_color="D7E4BC", fill_type="solid")
border_style = Border(left=Side(style='thin'), right=Side(style='thin'), top=Side(style='thin'),
bottom=Side(style='thin'))
for cell in ws[1]:
cell.font = Font(bold=True, name='微软雅黑')
cell.alignment = Alignment(horizontal='center', vertical='center')
cell.fill = header_fill
cell.border = border_style
# 字段到权限码的映射
field_to_perm = {
'companyName': 'material_list:companyName',
'name': 'material_list:name',
'spec': 'material_list:spec',
'type': 'material_list:type',
'unit': 'material_list:unit',
'category': 'material_list:category',
'inventoryCount': 'material_list:inventoryCount',
'availableCount': 'material_list:availableCount'
}
# 写入数据,并脱敏
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for r in all_rows:
base = r['base']
# 类别拆分
cat_parts = (base.category or "").split('/')
while len(cat_parts) < 5:
cat_parts.append("")
# 日期格式化
date_str = r['date'].strftime('%Y-%m-%d') if isinstance(r['date'], datetime.date) else ""
row_val = [
base.company_name,
base.name,
base.spec_model,
base.material_type,
cat_parts[0], cat_parts[1], cat_parts[2], cat_parts[3], cat_parts[4],
base.unit,
r['type_name'],
r['ident'],
r['loc'],
r['source'],
date_str,
r['qty'],
r['avail'],
r['price_excl'],
r['total_val_excl'],
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r['tax'],
r['price_incl'],
r['total_val']
]
# 根据用户权限脱敏
if user_permissions is not None:
for field, perm_code in field_to_perm.items():
if perm_code not in user_permissions:
if field == 'category':
for cat_idx in col_idx.get('category_cols', []):
row_val[cat_idx] = ''
elif field in col_idx:
row_val[col_idx[field]] = ''
# 联动脱敏:根据数据来源,校验对应模块的价格/成本权限
if user_permissions is not None:
# 超级管理员拥有所有权限,跳过价格脱敏
if 'material_list:*' in user_permissions:
# 拥有通配符权限,不隐藏价格列
pass
else:
has_price_perm = True
row_type = r['type_name']
# 根据数据来源检查对应模块的权限
if row_type == '采购件':
# 校验采购模块的价格权限
has_price_perm = any(p in user_permissions for p in
['inbound_buy:postTaxUnitPrice', 'inbound_buy:preTaxUnitPrice',
'inbound_buy:totalAmount'])
elif row_type == '半成品':
# 校验半成品模块的成本权限
has_price_perm = any(p in user_permissions for p in
['inbound_semi:rawMaterialCost', 'inbound_semi:manualCost'])
elif row_type == '成品':
# 校验成品模块的成本权限
has_price_perm = any(p in user_permissions for p in
['inbound_product:rawMaterialCost', 'inbound_product:manualCost'])
else:
# 未知类型,默认隐藏价格列
has_price_perm = False
# 如果没有对应模块的价格查看权限,则清空涉密的5个列
if not has_price_perm:
for p_col in ['price_excl', 'total_val_excl', 'tax', 'price_incl', 'total_val']:
if p_col in col_idx:
row_val[col_idx[p_col]] = ''
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ws.append(row_val)
# 列宽调整
dims = {}
for row in ws.rows:
for cell in row:
if cell.value:
dims[cell.column_letter] = max((dims.get(cell.column_letter, 0), len(str(cell.value))))
for col, value in dims.items():
ws.column_dimensions[col].width = min(value + 2, 30)
output = io.BytesIO()
wb.save(output)
output.seek(0)
return output
except Exception as e:
traceback.print_exc()
raise e