# 文件路径: app/services/inbound/base_service.py from app.extensions import db from app.models.base import MaterialBase from app.models.inbound.buy import StockBuy from app.models.inbound.semi import StockSemi from app.models.inbound.product import StockProduct # from app.models.inbound.service import StockService from sqlalchemy import or_, and_ import traceback import json import io import datetime # 需要 pip install openpyxl from openpyxl import Workbook from openpyxl.styles import Font, Alignment, Border, Side, PatternFill class MaterialBaseService: """ 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}%'), 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}%') ) ) # [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) results = [] for item in db_items: 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, 'name': item.name, 'commonName': item.common_name, '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) 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): """ 获取基础信息列表 (带分页和筛选) """ try: query = MaterialBase.query if filters: # 1. 关键词模糊搜索 if filters.get('keyword'): kw = f"%{filters['keyword']}%" query = query.filter(or_( MaterialBase.name.ilike(kw), MaterialBase.common_name.ilike(kw), MaterialBase.spec_model.ilike(kw) )) # 2. 精确筛选 # 公司筛选 if filters.get('company'): query = query.filter_by(company_name=filters['company']) if filters.get('category'): query = query.filter_by(category=filters['category']) if filters.get('type'): query = query.filter_by(material_type=filters['type']) if filters.get('isEnabled') is not None: is_active = bool(int(filters['isEnabled'])) query = query.filter_by(is_enabled=is_active) # [修改3] 默认排序方式改为按 spec_model 排序 pagination = query.order_by(MaterialBase.spec_model.asc()).paginate(page=page, per_page=limit, error_out=False) items_list = [] for item in pagination.items: item_dict = item.to_dict() # 聚合库存 buy_inv, buy_avail = MaterialBaseService._get_stock_counts(item.stock_buys) semi_inv, semi_avail = MaterialBaseService._get_stock_counts(item.stock_semis) prod_inv, prod_avail = MaterialBaseService._get_stock_counts(item.stock_products) serv_inv, serv_avail = MaterialBaseService._get_stock_counts(getattr(item, 'stock_services', [])) item_dict['inventoryCount'] = buy_inv + semi_inv + prod_inv + serv_inv item_dict['availableCount'] = buy_avail + semi_avail + prod_avail + serv_avail 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})") new_material = MaterialBase( # [修改] 移除了 'IRIS' 默认值 company_name=data.get('companyName'), name=data['name'], common_name=data.get('commonName'), spec_model=data['spec'], category=data.get('category'), material_type=data.get('type'), unit=data.get('unit'), visibility_level=data.get('visibilityLevel'), manual_link=json.dumps(data.get('generalManual', [])), product_image=json.dumps(data.get('generalImage', [])), is_enabled=True if data.get('isEnabled', 1) == 1 else False ) 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") # 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']) if 'isEnabled' in data: material.is_enabled = bool(int(data['isEnabled'])) db.session.commit() return material except Exception as e: db.session.rollback() raise e @staticmethod def delete_material(m_id): """ 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") buy_usage_count = StockBuy.query.filter_by(base_id=m_id).count() semi_usage_count = StockSemi.query.filter_by(base_id=m_id).count() prod_usage_count = StockProduct.query.filter_by(base_id=m_id).count() total_usage = buy_usage_count + semi_usage_count + prod_usage_count 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" f"- 成品库存记录: {prod_usage_count} 条\n" 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}") raise e # ============================================================================== # [核心修改] 统一资产统计导出 # ============================================================================== @staticmethod def export_excel(filters=None): """ 全口径资产统计报表： 逻辑：先查库存表 (Buy, Semi, Product)，关联基础信息，只导出实际存在的库存记录。 """ 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) )) if filters.get('company'): filter_conditions.append(MaterialBase.company_name == filters['company']) if filters.get('category'): filter_conditions.append(MaterialBase.category == filters['category']) if filters.get('type'): filter_conditions.append(MaterialBase.material_type == filters['type']) if filters.get('isEnabled') is not None: is_active = bool(int(filters['isEnabled'])) 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() # 3. 数据整合 all_rows = [] # 处理采购件 for stock, base in list_buy: # 价格计算 unit_price = float(stock.pre_tax_unit_price or 0) tax_rate = float(stock.tax_rate or 0) price_incl = float(stock.post_tax_unit_price or (unit_price * (1 + tax_rate / 100.0))) qty = float(stock.stock_quantity or 0) # 计算不含税总价 = 数量 * 不含税单价 total_val_excl = qty * unit_price # 计算含税总价 = 数量 * 含税单价 total_val_incl = qty * price_incl 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": unit_price, "total_val_excl": total_val_excl, # [新增] "tax": tax_rate, "price_incl": price_incl, "total_val": total_val_incl }) # 处理半成品 for stock, base in list_semi: cost = float(stock.raw_material_cost or 0) + float(stock.manual_cost or 0) qty = float(stock.stock_quantity or 0) # 半成品不含税总价 = 数量 * 成本 total_val_excl = qty * cost # 含税总价同上 (税率0) total_val_incl = qty * cost 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": cost, "total_val_excl": total_val_excl, # [新增] "tax": 0.0, "price_incl": cost, "total_val": total_val_incl }) # 处理成品 for stock, base in list_product: cost = float(stock.raw_material_cost or 0) + float(stock.manual_cost or 0) qty = float(stock.stock_quantity or 0) total_val_excl = qty * cost total_val_incl = qty * cost 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": cost, "total_val_excl": total_val_excl, # [新增] "tax": 0.0, "price_incl": cost, "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 [修改] 增加 "资产总额 (不含税)" 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) # 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 # 写入数据 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'], # [新增] 对应列 r['tax'], r['price_incl'], r['total_val'] ] 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