caac411e17
This commit implements multi-database support, allowing the system to switch
between SQL Server and MySQL databases seamlessly.
## New Features
- Database type selection (SQL Server or MySQL) via configuration
- Automatic table name conversion between formats ([dbo].[table] → dbo_table)
- Automatic parameter placeholder handling (? for SQL Server, %s for MySQL)
- GUI settings tab now includes database type dropdown and MySQL configuration
## Database Abstraction Layer
- db/base_connection.py: Abstract base class for database connections
- db/sqlserver_connection.py: SQL Server implementation
- db/mysql_connection.py: MySQL implementation using mysql-connector-python
- db/connection_factory.py: Factory pattern for creating connections
- db/table_name_converter.py: Table name format conversion utility
## DAO Base Class
- db/base_dao.py: Base DAO with helper methods for SQL conversion and placeholders
## Updated Components
- config/schema.py: Extended with DatabaseType enum and MySQL/SQLServer config classes
- config/defaults.py: Added MySQL default configuration
- config/loader.py: Updated to handle new database structure
- db/connection.py: Refactored to use factory pattern and load user config
- All DAO files: Updated to inherit from BaseDAO with automatic conversion
## Dependencies
- Added mysql-connector-python>=8.0.0 to requirements.txt
## Configuration
To use MySQL, set db_type to "mysql" in config/user_settings.json:
{
"database": {
"db_type": "mysql",
"mysql": {
"host": "192.168.31.83",
"port": 3306,
"database": "BLD_DB",
"username": "remote_user",
"password": "3.1415926Beeke"
}
}
}
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
91 lines
2.7 KiB
Python
91 lines
2.7 KiB
Python
"""
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数据库连接组件
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提供数据库连接和查询接口，支持 SQL Server 和 MySQL
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"""
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from typing import List, Dict, Any, Optional
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import sys
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import os
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# 添加项目根目录到 sys.path
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project_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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if project_root not in sys.path:
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sys.path.insert(0, project_root)
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from config.schema import DatabaseType
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from db.connection_factory import ConnectionFactory
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from db.base_connection import BaseDatabaseConnection
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def get_connection(config=None) -> BaseDatabaseConnection:
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"""
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获取数据库连接实例
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Args:
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config: 可选的数据库配置对象，默认从用户配置文件加载
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Returns:
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BaseDatabaseConnection: 数据库连接对象
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"""
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if config is not None:
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# 使用提供的配置
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database_config = config
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else:
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# 从用户配置文件加载
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from config.loader import ConfigLoader
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app_config = ConfigLoader.load()
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database_config = app_config.database
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return ConnectionFactory.create_from_config(database_config)
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def query_production_orders(总排号_list: List[str]) -> List[Dict[str, Any]]:
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"""
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根据总排号列表查询生产订单号
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支持两种数据库格式：
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- SQL Server: [productionContractData].[26年压力表合同数据]
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- MySQL: productionContractData_26年压力表合同数据
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Args:
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总排号_list: 总排号列表
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Returns:
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List[Dict[str, Any]]: 查询结果
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"""
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from db.table_name_converter import TableNameConverter
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from config.loader import ConfigLoader
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# 获取当前数据库类型
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app_config = ConfigLoader.load()
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db_type = app_config.database.db_type
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with get_connection() as db:
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# 获取正确的占位符
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placeholder = db.get_placeholder()
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# 构建占位符字符串
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placeholders = ",".join([placeholder for _ in 总排号_list])
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# 根据数据库类型选择表名格式
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if db_type == DatabaseType.MYSQL:
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table_name = "productionContractData_26年压力表合同数据"
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sql = f"""
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SELECT 总排号, 生产订单号, 序号, 订单号, 客户名称, 产品型号
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FROM {table_name}
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WHERE 总排号 IN ({placeholders})
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ORDER BY 序号
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"""
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else:
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table_name = "[productionContractData].[26年压力表合同数据]"
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sql = f"""
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SELECT [总排号], [生产订单号], [序号], [订单号], [客户名称], [产品型号]
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FROM {table_name}
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WHERE [总排号] IN ({placeholders})
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ORDER BY [序号]
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"""
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results = db.execute_query(sql, tuple(总排号_list))
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return results
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