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.

.claude/settings.local.json

@@ -0,0 +1,13 @@
+{
+  "permissions": {
+    "allow": [
+      "Bash(python etl_manager.py --help)",
+      "Bash(python run_incremental_sync.py)",
+      "Bash(python -c \"import run_incremental_sync; print\\(''run_incremental_sync.py: import OK''\\)\")",
+      "Bash(python -c \"import etl_manager; print\\(''etl_manager.py: import OK''\\)\")",
+      "Bash(python -c \"import init_full_sync; print\\(''init_full_sync.py: import OK''\\)\")",
+      "Bash(python -c \"import migration; print\\(''migration.py: import OK''\\)\")",
+      "Bash(python migration.py)"
+    ]
+  }
+}

config/__init__.py

@@ -0,0 +1,32 @@
+# config/__init__.py
+# 统一配置导出接口
+
+# 数据库配置
+from .database import SQL_SERVER_CONFIG, SQL_SERVER_CONN, DB_CONFIG, ACCESS_DRIVER
+
+# 文件路径配置
+from .file_sources import SYNC_MAPPING, EXCEL_CONFIGS, MIGRATION_TASKS
+
+# 字段映射配置
+from .field_mappings import TABLE_SCHEMA, CONTRACT_MAPPING
+
+# 应用设置
+from .app_settings import (
+    LOG_TABLE_CONFIG, NTFY_CONFIG,
+    POLL_INTERVAL, BATCH_SIZE, CACHE_DIR, TEMP_DIR,
+    EXECUTION_CARD_FIELDS, CONTRACT_DATA_FIELDS, CONTRACT_DATA_MAPPING
+)
+
+# 统一导出列表
+__all__ = [
+    # Database
+    'SQL_SERVER_CONFIG', 'SQL_SERVER_CONN', 'DB_CONFIG', 'ACCESS_DRIVER',
+    # File Sources
+    'SYNC_MAPPING', 'EXCEL_CONFIGS', 'MIGRATION_TASKS',
+    # Field Mappings
+    'TABLE_SCHEMA', 'CONTRACT_MAPPING',
+    # App Settings
+    'LOG_TABLE_CONFIG', 'NTFY_CONFIG',
+    'POLL_INTERVAL', 'BATCH_SIZE', 'CACHE_DIR', 'TEMP_DIR',
+    'EXECUTION_CARD_FIELDS', 'CONTRACT_DATA_FIELDS', 'CONTRACT_DATA_MAPPING'
+]

config/app_settings.py

@@ -0,0 +1,115 @@
+# config/app_settings.py
+# 应用设置配置
+
+import os
+
+# ================= 日志表配置 =================
+# 从原 config.py 抽取
+LOG_TABLE_CONFIG = {
+    'schema': 'dbo',
+    'table_name': 'TableChangeLog',
+    'col_log_id': 'LogID',
+    'col_table_name': 'TableName',
+    'col_record_id': 'RecordID',
+    'col_address': 'TableAddress',
+    'col_synced': 'Synced'
+}
+
+# ================= ntfy 配置 =================
+# 从原 config.py 抽取
+NTFY_CONFIG = {
+    'enabled': True,
+    'server_url': 'https://ntfy.server10086.icu',
+    'topic': 'bld',
+    'token': 'tk_eop5fs66acxtwxf6vlkiojhdvkgb0',
+    'priority': {
+        'error': 'high',
+        'critical': 'urgent'
+    }
+}
+
+# ================= 运行参数 =================
+# 合并原 config.py 和 update_config.py 的配置
+POLL_INTERVAL = 5     # 轮询间隔(秒)
+BATCH_SIZE = 10000    # 批量处理大小
+CACHE_DIR = os.path.join(os.getcwd(), "temp")  # Excel 缓存目录
+TEMP_DIR = os.path.join(os.getcwd(), "temp")           # 临时目录（兼容 migration.py）
+
+# ================= 字段配置 =================
+# 从原 update_config.py (sync_excel_to_sql.py) 抽取
+EXECUTION_CARD_FIELDS = {
+    "合同年份": ("str", 10),
+    "总排号": ("str", 50),
+    "序号": ("int", None),
+    "订单号": ("str", 150),
+    "车间号": ("str", 20),
+    "销售内部号": ("str", 50),
+    "经办人": ("str", 20),
+    "签订日期": ("date", None),
+    "交货日期": ("date", None),
+    "客户名称": ("str", 200),
+    "产品名称": ("str", 200),
+    "客户型号": ("str", 200),
+    "选型型号": ("str", 200),
+    "量程": ("str", 150),
+    "数量": ("int", None),
+    "备注2": ("str", 500),
+    "备注1": ("str", 500),
+    "位号": ("str", 500),
+    "技术参数": ("str", 1000),
+    "车间": ("str", 200),
+    "工令号": ("str", 200),
+    "接单日期": ("date", None),
+    "新参数": ("str", 1000),
+    "基本型号": ("str", 200),
+    "公称外径": ("str", 200),
+    "安装代码": ("str", 200),
+    "设计形式": ("str", 200),
+    "技术安装代码": ("str", 200),
+    "隔膜类型": ("str", 200),
+    "标准": ("str", 100),
+    "隔膜大小": ("str", 200),
+    "隔膜材质": ("str", 200),
+    "膜片": ("str", 200),
+    "膜片材质": ("str", 200),
+    "CRM明细ID号": ("str", 200),
+    "成品物料编码": ("str", 200),
+    "工单号": ("str", 200),
+    "盘号": ("str", 200),
+    "编码": ("str", 200),
+    "型批名称": ("str", 200),
+    "型批型号": ("str", 200),
+    "开票名称": ("str", 200),
+    "开票型号": ("str", 200),
+    "上数据时间": ("date", None),
+    "生产代码1": ("str", 50),
+    "生产代码2": ("str", 50)
+}
+
+CONTRACT_DATA_FIELDS = {
+    "合同年份": ("str", 10),
+    "车间号": ("str", 20),
+    "工令号": ("str", 200),
+    "订单号": ("str", 150),
+    "客户名称": ("str", 200),
+    "产品型号": ("str", 200),
+    "量程": ("str", 150),
+    "数量": ("int", None),
+    "单价": ("int", None),
+    "ID": ("int", None),
+    "位号": ("str", 500)
+}
+
+CONTRACT_DATA_MAPPING = {
+    "合同年份": "合同年份",
+    "车间号": "车间号",
+    "工令号": "工令号",
+    "订单号": "订单号",
+    "客户名称": "客户名称",
+    "产品型号": "选型型号",
+    "量程": "量程",
+    "数量": "数量",
+    "单价": None,
+    "ID": None,
+    "位号": "位号"
+}

config/database.py

@@ -0,0 +1,30 @@
+# config/database.py
+# 统一的数据库配置
+
+# ================= SQL Server 配置 =================
+SQL_SERVER_CONFIG = {
+    'driver': 'ODBC Driver 18 for SQL Server',
+    'server': '192.168.110.114',
+    'database': 'CompanyDB',
+    'username': 'peng',
+    'password': 'Cqbld123456.',
+    'trust_server_certificate': 'yes'
+}
+
+# ================= Access 驱动配置 =================
+ACCESS_DRIVER = "{Microsoft Access Driver (*.mdb, *.accdb)}"
+
+# ================= 兼容性别名 =================
+# 为了兼容旧代码，提供不同命名风格的别名
+
+# SQL_SERVER_CONN - 兼容 db_utils.py (使用 uid/pwd)
+SQL_SERVER_CONN = {
+    'driver': f"{{{SQL_SERVER_CONFIG['driver']}}}",
+    'server': SQL_SERVER_CONFIG['server'],
+    'database': SQL_SERVER_CONFIG['database'],
+    'uid': SQL_SERVER_CONFIG['username'],
+    'pwd': SQL_SERVER_CONFIG['password']
+}
+
+# DB_CONFIG - 兼容 etl_manager.py, migration.py (使用 username/password)
+DB_CONFIG = SQL_SERVER_CONFIG.copy()

config/field_mappings.py

@@ -0,0 +1,73 @@
+# config/field_mappings.py
+# 字段映射和清洗规则配置
+
+import os
+from config.app_settings import EXECUTION_CARD_FIELDS
+
+# ================= 字段清洗规则 =================
+# 从原 update_config.py 抽取
+# 基于 NVARCHAR (按字符数计算长度)
+TABLE_SCHEMA = {
+    "合同年份": {"type": "str", "max_len": 10},
+    "总排号": {"type": "str", "max_len": 50},
+    "序号": {"type": "int"},
+    "订单号": {"type": "str", "max_len": 150},
+    "车间号": {"type": "str", "max_len": 20},
+    "销售内部号": {"type": "str", "max_len": 50},
+    "经办人": {"type": "str", "max_len": 20},
+    "签订日期": {"type": "date"},
+    "交货日期": {"type": "date"},
+    "客户名称": {"type": "str", "max_len": 200},
+    "产品名称": {"type": "str", "max_len": 200},
+    "客户型号": {"type": "str", "max_len": 200},
+    "选型型号": {"type": "str", "max_len": 200},
+    "量程": {"type": "str", "max_len": 150},
+    "数量": {"type": "int"},
+    "备注2": {"type": "str", "max_len": 500},
+    "备注1": {"type": "str", "max_len": 500},
+    "位号": {"type": "str", "max_len": 500},
+    "技术参数": {"type": "str", "max_len": 1000},
+    "车间": {"type": "str", "max_len": 200},
+    "工令号": {"type": "str", "max_len": 200},
+    "接单日期": {"type": "date"},
+    "新参数": {"type": "str", "max_len": 1000},
+    "基本型号": {"type": "str", "max_len": 200},
+    "公称外径": {"type": "str", "max_len": 200},
+    "安装代码": {"type": "str", "max_len": 200},
+    "设计形式": {"type": "str", "max_len": 200},
+    "技术安装代码": {"type": "str", "max_len": 200},
+    "隔膜类型": {"type": "str", "max_len": 200},
+    "标准": {"type": "str", "max_len": 100},
+    "隔膜大小": {"type": "str", "max_len": 200},
+    "隔膜材质": {"type": "str", "max_len": 200},
+    "膜片": {"type": "str", "max_len": 200},
+    "膜片材质": {"type": "str", "max_len": 200},
+    "CRM明细ID号": {"type": "str", "max_len": 200},
+    "成品物料编码": {"type": "str", "max_len": 200},
+    "工单号": {"type": "str", "max_len": 200},
+    "盘号": {"type": "str", "max_len": 200},
+    "编码": {"type": "str", "max_len": 200},
+    "型批名称": {"type": "str", "max_len": 200},
+    "型批型号": {"type": "str", "max_len": 200},
+    "开票名称": {"type": "str", "max_len": 200},
+    "开票型号": {"type": "str", "max_len": 200},
+    "上数据时间": {"type": "date"},
+    "生产代码1": {"type": "str", "max_len": 50},
+    "生产代码2": {"type": "str", "max_len": 50}
+}
+
+# ================= 合同数据映射 =================
+# 从原 update_config.py 抽取
+CONTRACT_MAPPING = {
+    "合同年份": "合同年份",
+    "车间号": "车间号",
+    "工令号": "工令号",
+    "订单号": "订单号",
+    "客户名称": "客户名称",
+    "产品型号": "选型型号",
+    "量程": "量程",
+    "数量": "数量",
+    "单价": None,
+    "ID": None,
+    "位号": "位号"
+}

config/file_sources.py

@@ -1,39 +1,15 @@
-# config.py
+# config/file_sources.py
+# 文件路径配置 - 从原 config.py 和 update_config.py 抽离
 
-# ================= 数据库连接配置 =================
+# ================= Access 同步映射配置 =================
-SQL_SERVER_CONN = {
+# 从原 config.py 抽取
-    'driver': '{ODBC Driver 18 for SQL Server}',
-    'server': '192.168.110.114',
-    'database': 'CompanyDB',
-    'uid': 'peng',
-    'pwd': 'Cqbld123456.'
-}
-
-# Access 驱动配置 (根据你的 Office 版本选择 mdb 或 accdb)
-ACCESS_DRIVER = "{Microsoft Access Driver (*.mdb, *.accdb)}"
-
-# ================= 日志表配置 =================
-# 根据你提供的表结构配置列名
-LOG_TABLE_CONFIG = {
-    'schema': 'dbo',
-    'table_name': 'TableChangeLog',
-    # 下面定义字段名，方便代码引用，防止硬编码
-    'col_log_id': 'LogID',
-    'col_table_name': 'TableName',
-    'col_record_id': 'RecordID',
-    'col_address': 'TableAddress', # 使用 TableAddress 作为文件路径来源
-    'col_synced': 'Synced'
-}
-
-# ================= 同步映射配置 (核心重构) =================
 # 结构： { "Access文件绝对路径": { "Access表名": { SQL目标配置 } } }
-# 这样即使不同文件有相同的表名，也能区分开
 SYNC_MAPPING = {
     # 第一个 Access 文件
     r"\\192.168.110.114\生产进度表\2025年数据\生产合同数据.accdb": {
         "26年压力表合同数据": {
             "target_schema": "productionContractData",
-            "target_table": "26年压力表合同数据", # 映射到 A 表
+            "target_table": "26年压力表合同数据",
             "pk_col": "ID"
         },
         "26年温度计合同数据": {
@@ -51,7 +27,6 @@ SYNC_MAPPING = {
             "target_table": "25年温度计合同数据",
             "pk_col": "ID"
         }
-
     },
     r"\\192.168.110.114\生产进度表\2026年数据\成品入库.accdb": {
         "成品交检记录": {
@@ -323,17 +298,153 @@ SYNC_MAPPING = {
         }
     }
 }
-# ================= ntfy 配置 =================
+
-NTFY_CONFIG = {
+# ================= Excel 文件配置 =================
-    'enabled': True,                # 是否启用通知
+# 从原 update_config.py 抽取
-    'server_url': 'https://ntfy.server10086.icu', # 如果是自建服务器，请修改为自己的 URL
+EXCEL_CONFIGS = [
-    'topic': 'bld',   # 你的订阅主题
+    {
-    'token': 'tk_eop5fs66acxtwxf6vlkiojhdvkgb0', # <--- 在这里填入你的 Access Token
+        "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",
-    'priority': {
+        "sheet_names": ["Sheet1"],
-        'error': 'high',            # 错误消息优先级
+        "contract_year": "2022",
-        'critical': 'urgent'        # 严重错误优先级
+        "field_mapping": {
+            "产品型号": "选型型号",
+            "备注": "备注1",
+            "下单日期": "接单日期"
+        }
+    },
+    {
+        "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",
+        "sheet_names": ["Sheet1"],
+        "contract_year": "2023",
+        "field_mapping": {
+            "产品型号": "选型型号",
+            "备注": "备注1",
+            "下单日期": "接单日期"
+        }
+    },
+    {
+        "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",
+        "sheet_names": ["Sheet1"],
+        "contract_year": "2023",
+        "field_mapping": {
+            "产品型号": "选型型号",
+            "备注": "备注1",
+            "下单日期": "接单日期"
+        }
+    },
+    {
+        "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",
+        "sheet_names": ["重庆数据","北京数据"],
+        "contract_year": "2024",
+        "field_mapping": {
+            "产品型号": "选型型号",
+            "备注": "备注1",
+            "下单日期": "接单日期"
+        }
+    },
+    {
+        "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",
+        "sheet_names": ["重庆数据","北京数据"],
+        "contract_year": "2024",
+        "field_mapping": {
+            "产品型号": "选型型号",
+            "备注": "备注1",
+            "下单日期": "接单日期"
+        }
+    },
+    {
+        "file_path": r"\\192.168.110.113\生产执行卡\生产执行卡2025年.xlsm",
+        "sheet_names": ["重庆数据","北京数据"],
+        "contract_year": "2025",
+        "field_mapping": {
+            "产品型号": "选型型号",
+            "备注": "备注1",
+            "下单日期": "接单日期"
+        }
+    },
+    {
+        "file_path": r"\\192.168.110.113\生产执行卡\生产执行卡2026年.xlsm",
+        "sheet_names": ["重庆数据","北京数据"],
+        "contract_year": "2026",
+        "field_mapping": {
+            "产品型号": "选型型号",
+            "备注": "备注1",
+            "下单日期": "接单日期"
         }
     }
-# ================= 运行参数 =================
+]
-POLL_INTERVAL = 5     # 轮询间隔(秒)
+
-BATCH_SIZE = 10000     # 批量处理大小
+# ================= 迁移任务配置 =================
+# 从原 migration.py 抽取
+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": "车间号",
+            "工令号": "工令号",
+            "客户型号": "客户型号"
+        }
+    },
+    {
+        "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": "车间号",
+            "工令号": "工令号",
+            "客户型号": "客户型号"
+        }
+    },
+    {
+        "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": "车间号",
+            "工令号": "工令号",
+            "客户型号": "客户型号"
+        }
+    },
+    {
+        "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": "车间号",
+            "工令号": "工令号",
+            "客户型号": "客户型号"
+        }
+    },
+    {
+        "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": "车间号",
+            "工令号": "工令号",
+            "客户型号": "客户型号"
+        }
+    },
+    {
+        "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": "车间号",
+            "工令号": "工令号",
+            "客户型号": "客户型号"
+        }
+    },
+    {
+        "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": "车间号",
+            "工令号": "工令号",
+            "客户型号": "客户型号"
+        }
+    }
+]

db_utils.py

@@ -1,21 +1,20 @@
 # db_utils.py
 import pyodbc
-import config
+from config import SQL_SERVER_CONN, ACCESS_DRIVER
 
 def get_sql_conn():
     """获取 SQL Server 连接"""
-    c = config.SQL_SERVER_CONN
     # 显式添加 TrustServerCertificate=yes 以兼容 ODBC Driver 18+
     conn_str = (
-        f"DRIVER={c['driver']};SERVER={c['server']};"
+        f"DRIVER={SQL_SERVER_CONN['driver']};SERVER={SQL_SERVER_CONN['server']};"
-        f"DATABASE={c['database']};UID={c['uid']};PWD={c['pwd']};"
+        f"DATABASE={SQL_SERVER_CONN['database']};UID={SQL_SERVER_CONN['uid']};PWD={SQL_SERVER_CONN['pwd']};"
         "Encrypt=yes;TrustServerCertificate=yes;"
     )
     return pyodbc.connect(conn_str)
 
 def get_access_conn(file_path):
     """获取 Access 连接"""
-    conn_str = f"DRIVER={config.ACCESS_DRIVER};DBQ={file_path};"
+    conn_str = f"DRIVER={ACCESS_DRIVER};DBQ={file_path};"
     return pyodbc.connect(conn_str)
 
 def fmt_table(schema, table):

etl_manager.py

@@ -13,7 +13,7 @@ from sqlalchemy.engine import URL
 from sqlalchemy.types import NVARCHAR, Integer, Date
 
 # 导入配置
-import update_config as config
+from config import DB_CONFIG, CACHE_DIR, EXCEL_CONFIGS, BATCH_SIZE, TABLE_SCHEMA
 
 # ================= 抑制 openpyxl 的数据验证警告 =================
 warnings.filterwarnings('ignore', category=UserWarning, module='openpyxl')
@@ -37,19 +37,19 @@ class DataSynchronizer:
     def __init__(self, force_sync=False):
         self.force_sync = force_sync
         self.engine = self._get_db_connection()
-        self.cache_dir = config.CACHE_DIR
+        self.cache_dir = CACHE_DIR
         
         if not os.path.exists(self.cache_dir):
             os.makedirs(self.cache_dir)
 
     def _get_db_connection(self):
         connection_string = (
-            f"DRIVER={{{config.DB_CONFIG['driver']}}};"
+            f"DRIVER={{{DB_CONFIG['driver']}}};"
-            f"SERVER={config.DB_CONFIG['server']};"
+            f"SERVER={DB_CONFIG['server']};"
-            f"DATABASE={config.DB_CONFIG['database']};"
+            f"DATABASE={DB_CONFIG['database']};"
-            f"UID={config.DB_CONFIG['username']};"
+            f"UID={DB_CONFIG['username']};"
-            f"PWD={config.DB_CONFIG['password']};"
+            f"PWD={DB_CONFIG['password']};"
-            f"TrustServerCertificate={config.DB_CONFIG.get('TrustServerCertificate', 'no')};"
+            f"TrustServerCertificate={DB_CONFIG.get('TrustServerCertificate', 'no')};"
         )
         connection_url = URL.create("mssql+pyodbc", query={"odbc_connect": connection_string})
         return create_engine(connection_url, fast_executemany=True)
@@ -94,7 +94,7 @@ class DataSynchronizer:
                 df = df.drop_duplicates(subset=['总排号'], keep='first')
 
         # 3. 补全列
-        for col in config.TABLE_SCHEMA.keys():
+        for col in TABLE_SCHEMA.keys():
             if col not in df.columns:
                 df[col] = None
 
@@ -102,7 +102,7 @@ class DataSynchronizer:
         dtype_dict = {}
 
         # 4. 字段清洗
-        for col, rules in config.TABLE_SCHEMA.items():
+        for col, rules in TABLE_SCHEMA.items():
             if col not in df.columns: 
                 continue
             
@@ -136,7 +136,7 @@ class DataSynchronizer:
                 
                 dtype_dict[col] = NVARCHAR(max_len)
 
-        final_cols = list(config.TABLE_SCHEMA.keys())
+        final_cols = list(TABLE_SCHEMA.keys())
         
         return df[final_cols], dtype_dict
 
@@ -162,7 +162,7 @@ class DataSynchronizer:
         if not df_insert.empty:
             logger.info("正在执行批量插入...")
             df_insert.to_sql('executionCardData', self.engine, schema='warehouseOutbound', 
-                             if_exists='append', index=False, chunksize=config.BATCH_SIZE,
+                             if_exists='append', index=False, chunksize=BATCH_SIZE,
                              dtype=dtype_dict) 
             logger.info("批量插入完成。")
 
@@ -198,7 +198,7 @@ class DataSynchronizer:
             logger.info(f"批量更新完成，共影响 {affected_rows} 行。")
 
     def process_excel_files(self):
-        for cfg in config.EXCEL_CONFIGS:
+        for cfg in EXCEL_CONFIGS:
             remote_path = cfg['file_path']
             filename = os.path.basename(remote_path)
             local_path = os.path.join(self.cache_dir, filename)

init_full_sync.py

@@ -1,5 +1,5 @@
 import pyodbc
-import config
+from config import SQL_SERVER_CONN, ACCESS_DRIVER, SYNC_MAPPING, BATCH_SIZE
 import db_utils
 import time
 import os
@@ -103,8 +103,8 @@ def run_full_sync():
     
     logger.info("=" * 70)
     log_start(logger, "全量初始化同步")
-    log_info(logger, f"配置文件数: {len(config.SYNC_MAPPING)} 个")
+    log_info(logger, f"配置文件数: {len(SYNC_MAPPING)} 个")
-    log_info(logger, f"批次大小: {config.BATCH_SIZE} 行")
+    log_info(logger, f"批次大小: {BATCH_SIZE} 行")
     logger.info("=" * 70)
     
     sync_start_time = time.time()
@@ -123,7 +123,7 @@ def run_full_sync():
         return
 
     # 第一层循环:遍历配置文件中的所有文件路径
-    for acc_path, tables_map in config.SYNC_MAPPING.items():
+    for acc_path, tables_map in SYNC_MAPPING.items():
         if not os.path.exists(acc_path):
             log_skip(logger, f"文件不存在: {acc_path}")
             continue
@@ -184,7 +184,7 @@ def run_full_sync():
                     last_log_time = start_time
                     
                     while True:
-                        rows = acc_cursor.fetchmany(config.BATCH_SIZE)
+                        rows = acc_cursor.fetchmany(BATCH_SIZE)
                         if not rows: break
                         
                         sql_cursor.executemany(insert_sql, rows)

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

ntfy_utils.py

@@ -1,12 +1,12 @@
 # ntfy_utils.py
 import requests
-import config
+from config import NTFY_CONFIG
 
 def send_ntfy(message, title="数据库同步消息", priority="default", tags=None):
     """
     向加密的 ntfy 服务器发送消息
     """
-    conf = config.NTFY_CONFIG
+    conf = NTFY_CONFIG
     if not conf.get('enabled', False):
         return
 
@@ -51,7 +51,7 @@ def send_error(msg):
     send_ntfy(
         message=str(msg),
         title="❌ 同步任务错误",
-        priority=config.NTFY_CONFIG['priority']['error'],
+        priority=NTFY_CONFIG['priority']['error'],
         tags=["warning", "database"]
     )
 
@@ -60,6 +60,6 @@ def send_critical(msg):
     send_ntfy(
         message=str(msg),
         title="🔥 同步服务崩溃",
-        priority=config.NTFY_CONFIG['priority']['critical'],
+        priority=NTFY_CONFIG['priority']['critical'],
         tags=["skull", "critical"]
     )

run_incremental_sync.py

@@ -2,7 +2,7 @@ import time
 import os
 import sys
 import pyodbc
-import config
+from config import SQL_SERVER_CONN, ACCESS_DRIVER, SYNC_MAPPING, POLL_INTERVAL, LOG_TABLE_CONFIG
 import db_utils
 import logging
 from logging.handlers import TimedRotatingFileHandler
@@ -95,7 +95,7 @@ def log_sync(message):
 def process_sync_task():
     """
     逻辑重构：
-    遍历 config.SYNC_MAPPING 中的每一个文件 -> 去日志表查询该文件下特定表的未同步记录。
+    遍历 SYNC_MAPPING 中的每一个文件 -> 去日志表查询该文件下特定表的未同步记录。
     """
     sql_conn = db_utils.get_sql_conn()
     sql_cursor = sql_conn.cursor()
@@ -104,12 +104,12 @@ def process_sync_task():
     # 标记是否有工作被处理（用于控制轮询休眠时间）
     work_done = False
     
-    cols = config.LOG_TABLE_CONFIG
+    cols = LOG_TABLE_CONFIG
     log_full_name = db_utils.fmt_table(cols['schema'], cols['table_name'])
 
     try:
         # === 核心循环：以配置文件为驱动 ===
-        for clean_path, tables_map in config.SYNC_MAPPING.items():
+        for clean_path, tables_map in SYNC_MAPPING.items():
             
             # 1. 准备查询条件
             # 获取该文件下所有需要同步的表名列表
@@ -265,8 +265,8 @@ def process_sync_task():
 
 if __name__ == "__main__":
     log_start("增量同步服务已启动 (配置驱动模式)")
-    log_info(f"轮询间隔: {config.POLL_INTERVAL} 秒")
+    log_info(f"轮询间隔: {POLL_INTERVAL} 秒")
-    log_info(f"监控配置: {len(config.SYNC_MAPPING)} 个文件")
+    log_info(f"监控配置: {len(SYNC_MAPPING)} 个文件")
     logger.info("=" * 70)
     
     while True:
@@ -274,7 +274,7 @@ if __name__ == "__main__":
             has_work = process_sync_task()
             # 如果有工作，说明可能还有积压，休息短一点(0.1s)
             # 如果没工作，休息标准间隔(5s)
-            time.sleep(0.1 if has_work else config.POLL_INTERVAL)
+            time.sleep(0.1 if has_work else POLL_INTERVAL)
         except KeyboardInterrupt:
             logger.info("=" * 70)
             log_stop("收到停止信号，服务正在关闭...")

update_config.py

@@ -1,154 +0,0 @@
-import os
-
-# ================= 数据库配置 =================
-DB_CONFIG = {
-    "server": "192.168.110.114",
-    "database": "CompanyDB",
-    "username": "peng",
-    "password": "Cqbld123456.",
-    "driver": "ODBC Driver 18 for SQL Server",
-    "TrustServerCertificate": "yes"
-}
-
-# ================= 全局配置 =================
-CACHE_DIR = os.path.join(os.getcwd(), "temp")
-BATCH_SIZE = 5000
-
-# ================= 字段清洗规则 =================
-# 基于 NVARCHAR (按字符数计算长度)
-TABLE_SCHEMA = {
-    "合同年份": {"type": "str", "max_len": 10},
-    "总排号": {"type": "str", "max_len": 50},
-    "序号": {"type": "int"},
-    "订单号": {"type": "str", "max_len": 150},
-    "车间号": {"type": "str", "max_len": 20},
-    "销售内部号": {"type": "str", "max_len": 50},
-    "经办人": {"type": "str", "max_len": 20},
-    "签订日期": {"type": "date"},
-    "交货日期": {"type": "date"},
-    "客户名称": {"type": "str", "max_len": 200},
-    "产品名称": {"type": "str", "max_len": 200},
-    "客户型号": {"type": "str", "max_len": 200},
-    "选型型号": {"type": "str", "max_len": 200},
-    "量程": {"type": "str", "max_len": 150},
-    "数量": {"type": "int"},
-    "备注2": {"type": "str", "max_len": 500},
-    "备注1": {"type": "str", "max_len": 500},
-    "位号": {"type": "str", "max_len": 500},
-    "技术参数": {"type": "str", "max_len": 1000},
-    "车间": {"type": "str", "max_len": 200},
-    "工令号": {"type": "str", "max_len": 200},
-    "接单日期": {"type": "date"},
-    "新参数": {"type": "str", "max_len": 1000},
-    "基本型号": {"type": "str", "max_len": 200},
-    "公称外径": {"type": "str", "max_len": 200},
-    "安装代码": {"type": "str", "max_len": 200},
-    "设计形式": {"type": "str", "max_len": 200},
-    "技术安装代码": {"type": "str", "max_len": 200},
-    "隔膜类型": {"type": "str", "max_len": 200},
-    "标准": {"type": "str", "max_len": 100},
-    "隔膜大小": {"type": "str", "max_len": 200},
-    "隔膜材质": {"type": "str", "max_len": 200},
-    "膜片": {"type": "str", "max_len": 200},
-    "膜片材质": {"type": "str", "max_len": 200},
-    "CRM明细ID号": {"type": "str", "max_len": 200},
-    "成品物料编码": {"type": "str", "max_len": 200},
-    "工单号": {"type": "str", "max_len": 200},
-    "盘号": {"type": "str", "max_len": 200},
-    "编码": {"type": "str", "max_len": 200},
-    "型批名称": {"type": "str", "max_len": 200},
-    "型批型号": {"type": "str", "max_len": 200},
-    "开票名称": {"type": "str", "max_len": 200},
-    "开票型号": {"type": "str", "max_len": 200},
-    "上数据时间": {"type": "date"},
-    "生产代码1": {"type": "str", "max_len": 50},
-    "生产代码2": {"type": "str", "max_len": 50}
-}
-
-CONTRACT_MAPPING = {
-    "合同年份": "合同年份",
-    "车间号": "车间号",
-    "工令号": "工令号",
-    "订单号": "订单号",
-    "客户名称": "客户名称",
-    "产品型号": "选型型号",
-    "量程": "量程",
-    "数量": "数量",
-    "单价": None,
-    "ID": None,
-    "位号": "位号"
-}
-
-EXCEL_CONFIGS = [
-    {
-        "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",
-        "sheet_names": ["Sheet1"],
-        "contract_year": "2022",
-        "field_mapping": {
-            "产品型号": "选型型号",
-            "备注": "备注1",
-            "下单日期": "接单日期"
-
-        }
-    },
-    {
-        "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",
-        "sheet_names": ["Sheet1"],
-        "contract_year": "2023",
-        "field_mapping": {
-            "产品型号": "选型型号",
-            "备注": "备注1",
-            "下单日期": "接单日期"
-        }
-    },
-    {
-        "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",
-        "sheet_names": ["Sheet1"],
-        "contract_year": "2023",
-        "field_mapping": {
-            "产品型号": "选型型号",
-            "备注": "备注1",
-            "下单日期": "接单日期"
-        }
-    },
-    {
-        "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",
-        "sheet_names": ["重庆数据","北京数据"],
-        "contract_year": "2024",
-        "field_mapping": {
-            "产品型号": "选型型号",
-            "备注": "备注1",
-            "下单日期": "接单日期"
-        }
-    },
-    {
-        "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",
-        "sheet_names": ["重庆数据","北京数据"],
-        "contract_year": "2024",
-        "field_mapping": {
-            "产品型号": "选型型号",
-            "备注": "备注1",
-            "下单日期": "接单日期"
-        }
-    },
-    {
-        "file_path": r"\\192.168.110.113\生产执行卡\生产执行卡2025年.xlsm",
-        "sheet_names": ["重庆数据","北京数据"],
-        "contract_year": "2025",
-        "field_mapping": {
-            "产品型号": "选型型号",
-            "备注": "备注1",
-            "下单日期": "接单日期"
-        }
-    },
-    {
-        "file_path": r"\\192.168.110.113\生产执行卡\生产执行卡2026年.xlsm",
-        "sheet_names": ["重庆数据","北京数据"],
-        "contract_year": "2026",
-        "field_mapping": {
-            "产品型号": "选型型号",
-            "备注": "备注1",
-            "下单日期": "接单日期"
-        }
-    }
-]