Refactor configuration management and remove deprecated files

- Consolidated database, file source, and field mapping configurations into dedicated modules under the `config` directory.
- Removed hardcoded database connection details from `migration.py` and replaced them with imports from the new configuration structure.
- Updated `ntfy_utils.py` and `run_incremental_sync.py` to utilize the new configuration imports for cleaner code and better maintainability.
- Deleted `update_config.py` as its contents have been integrated into the new configuration files.
- Added a new `settings.local.json` for managing permissions related to script execution.
- Enhanced the structure of the migration tasks and Excel configurations for better organization and clarity.

migration.py

@@ -3,21 +3,13 @@ import os
 import shutil
 import urllib
 from sqlalchemy import create_engine, text
+from config import DB_CONFIG, MIGRATION_TASKS, TEMP_DIR
 import ntfy_utils  # 确保该文件在同一目录下
 
 # ==========================================
 # 1. 脚本配置 (Configuration)
 # ==========================================
 
-# 数据库连接信息
-DB_CONFIG = {
-    "server": "192.168.110.114",
-    "database": "CompanyDB",
-    "username": "peng",
-    "password": "Cqbld123456.",
-    "driver": "ODBC Driver 18 for SQL Server"
-}
-
 # 目标表配置
 TARGET_DB_SCHEMA = "warehouseOutbound"
 TARGET_TABLE_NAME = "customerProductType"
@@ -31,81 +23,6 @@ SQL_COL_MODEL = "客户型号"
 
 # 运行参数
 FORCE_UPDATE = False  # 如果设为 True，则无视时间对比，强制更新所有文件
-TEMP_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), "temp")
-
-# 迁移任务清单
-MIGRATION_TASKS = [
-    {
-        "file_path": r"\\192.168.110.113\生产执行卡\往年生产执行卡\生产执行卡2022.xlsm",
-        "year": 2022,
-        "sheet_names": ["Sheet1"],
-        "mapping": {
-            "车间号": SQL_COL_WORKSHOP,
-            "工令号": SQL_COL_ORDER,
-            "客户型号": SQL_COL_MODEL
-        }
-    },
-    {
-        "file_path": r"\\192.168.110.113\生产执行卡\往年生产执行卡\生产执行卡2023（1-5月）.xlsm",
-        "year": 2023,
-        "sheet_names": ["Sheet1"],
-        "mapping": {
-            "车间号": SQL_COL_WORKSHOP,
-            "工令号": SQL_COL_ORDER,
-            "客户型号": SQL_COL_MODEL
-        }
-    },
-    {
-        "file_path": r"\\192.168.110.113\生产执行卡\往年生产执行卡\生产执行卡2023(6月-.xlsm",
-        "year": 2023,
-        "sheet_names": ["Sheet1"],
-        "mapping": {
-            "车间号": SQL_COL_WORKSHOP,
-            "工令号": SQL_COL_ORDER,
-            "客户型号": SQL_COL_MODEL
-        }
-    },
-    {
-        "file_path": r"\\192.168.110.113\生产执行卡\往年生产执行卡\生产执行卡2024 6月.xlsm",
-        "year": 2024,
-        "sheet_names": ["重庆数据","北京数据"],
-        "mapping": {
-            "车间号": SQL_COL_WORKSHOP,
-            "工令号": SQL_COL_ORDER,
-            "客户型号": SQL_COL_MODEL
-        }
-    },
-    {
-        "file_path": r"\\192.168.110.113\生产执行卡\往年生产执行卡\生产执行卡2024.xlsm",
-        "year": 2024,
-        "sheet_names": ["重庆数据","北京数据"],
-        "mapping": {
-            "车间号": SQL_COL_WORKSHOP,
-            "工令号": SQL_COL_ORDER,
-            "客户型号": SQL_COL_MODEL
-        }
-    },
-    {
-        "file_path": r"\\192.168.110.113\生产执行卡\生产执行卡2025年.xlsm",
-        "year": 2025,
-        "sheet_names": ["重庆数据","北京数据"],
-        "mapping": {
-            "车间号": SQL_COL_WORKSHOP,
-            "工令号": SQL_COL_ORDER,
-            "客户型号": SQL_COL_MODEL
-        }
-    },
-    {
-        "file_path": r"\\192.168.110.113\生产执行卡\生产执行卡2026年.xlsm",
-        "year": 2026,
-        "sheet_names": ["重庆数据","北京数据"],
-        "mapping": {
-            "车间号": SQL_COL_WORKSHOP,
-            "工令号": SQL_COL_ORDER,
-            "客户型号": SQL_COL_MODEL
-        }
-    }
-]
 
 # ==========================================
 # 2. 核心辅助函数