fix: 更新职级上限规则处理逻辑以支持新职位名称的级别限制

- 调整职位规则读取逻辑，增加对级别限制的处理
- 修改列索引以适应新的数据结构
- 优化异常处理，确保在角色不存在时记录警告信息

main.py

@@ -23,7 +23,6 @@ def custom_date_parser(x):
 
 BaseData = pd.read_excel("原数据.xlsx", sheet_name="入职信息")
 Promote = pd.read_excel("原数据.xlsx", sheet_name="职务变动") # 
-Level_Limit = pd.read_excel("原数据.xlsx", sheet_name="职位规则",usecols="A:B", skiprows=2, names=["limit","role"])
 
 for index, row in BaseData.iterrows():
     for col in ["出生年月","任职年月","原职时间","参加工作时间","入职时间", "晋档起始", "晋级起始", "日期2"]:
@@ -75,6 +74,14 @@ while True: # 名称变化
     except:
         break
 
+# 读取职位对应的级别限制
+Level_Limit_tmp = pd.read_excel("原数据.xlsx", sheet_name="职位规则", usecols="A:A", skiprows=2, names=["limit"])
+Level_Limit = {}
+for rule in Rule_Role:
+    for index, row in rule["rule"].iterrows():
+        Level_Limit[row["role"]] = Level_Limit_tmp.iloc[index]["limit"]
+
+
 logging.info("规则加载完成")
 
 Rule_Role = sorted(Rule_Role, key=lambda x: x['start'])
@@ -115,10 +122,9 @@ def level_salary(level:str, time):
     return 0
 
 def role_limit(role:str):
-    try:
-        tmp = Level_Limit[Level_Limit["role"] == role].iloc[0]
-        return tmp["limit"]
-    except:
+    if role in Level_Limit.keys():
+        return Level_Limit[role]
+    else:
         logging.warning(f"职位[{role}]不存在职级上限规则")
         return -1