修改方案

readme.md

@@ -1,3 +1,8 @@
+# 类型更改计划
+## 1. 先解决大量使用xlsx的问题, 统一通过使用LOGISDB数据库进行数据交互
+## 2. 对售价模型或者其他类型的区分,统一使用数据库表管理
+
+
 # 物流模块介绍
 ## [数据模块](data)
 > 数据存放地，部分物流的价格表和部分国家的邮编

sell/base_sell_price.py

@@ -69,7 +69,7 @@ class SellPriceBase:
     def __new__(cls, *args, **kwargs):
         """实现单例模式，只加载一次文件"""
         if cls.df_2024 is None:
-            cls.df_2024 = pd.read_excel(cls._price_files,sheet_name="2024")
+            cls.df_2024 = pd.read_excel(cls._price_files,sheet_name="2025")
         if cls.df_2025 is None:
             cls.df_2025 = pd.read_excel(cls._price_files,sheet_name="2025")
         return super().__new__(cls)

sell/sell_price.py

@@ -1,14 +1,14 @@
 import json
 import math
 import sys
-sys.path.append(r'D:\test\logistics\sell')
+# sys.path.append(r'D:\test\logistics\sell')
 import pandas as pd
 from sell.base_sell_price import SellPriceBase
 from utils.Package import Package, Package_group
 from utils.gtools import MySQLconnect
 import math
 import re
-express_price = pd.read_excel(r'D:\test\logistics\data\售价尾端价格.xlsx', sheet_name='Sheet1')
+express_price = pd.read_excel(r'D:\workspace\logistics\data\售价尾端价格.xlsx', sheet_name='2025')
 key_column = express_price.iloc[:, 8]  # 第 I 列
 value_column = express_price.iloc[:, 9]  # 第 J 列
 small_column = express_price.iloc[:, 10]  # 第 K 列
@@ -149,7 +149,7 @@ def call_sell_and_order_price(price, package_dict,head_type):
     # 提取字符串中的第一个数字
         match = re.search(r"[-+]?\d*\.\d+|\d+", str(value))
         return float(match.group()) if match else 0.0
-    package_dict = json.loads(package_dict)
+   
     for key, package in package_dict.items():
         package['长'] = extract_number(package['长'])
         package['宽'] = extract_number(package['宽'])
@@ -157,14 +157,14 @@ def call_sell_and_order_price(price, package_dict,head_type):
         package['重量'] = extract_number(package['重量'])
     
         if package['长'] == 0 or package['宽'] == 0 or package['高'] == 0 or package['重量'] == 0:
-            return (0,0,0,0),0,0
+            return  0,0,0
         packages.add_package(Package(key,package['长'], package['宽'], package['高'], package['重量']))
             
     if packages is None:
-        return (0,0,0,0),0,0
-    litfad = SellPriceBase.litfad(packages, price,1)
+        return 0,0,0
+    litfad = SellPriceBase.litfad_2025(packages, price,1)
     # 修改版本,网站售价
-    sell_price = litfad.cal_sell_price()
+    sell_price = litfad.cal_sell_price_2025()
     # 订单物流费
     if "海" in head_type:
         order_price, order_type = ocean_order_price(packages)

utils/logisticsBill.py

@@ -1,3 +1,5 @@
+import sys
+sys.path.append("D:\workspace\logistics")
 from dataclasses import dataclass
 from typing import List, Literal
 import pandas as pd