This commit implements a complete migration from JSON-based configuration to .env environment variables, providing better security and flexibility. Key Changes: - Add python-dotenv dependency for environment variable support - Create config/env_loader.py with type conversion utilities - Add from_env() class methods to all config dataclasses - Update ConfigLoader to prioritize environment variables - Add save_to_env() method for .env file management - Implement database connection factory pattern - Add base DAO and connection classes for better abstraction - Support both SQL Server and MySQL with unified interface - Create migration script (scripts/migrate_to_env.py) - Update GUI to read/write .env files - Add comprehensive migration documentation New Files: - config/env_loader.py - Environment variable loader - db/base_connection.py - Base database connection interface - db/base_dao.py - Base DAO with common utilities - db/connection_factory.py - Factory for creating connections - db/mysql_connection.py - MySQL-specific connection - db/sqlserver_connection.py - SQL Server-specific connection - db/table_name_converter.py - SQL dialect converter - scripts/migrate_to_env.py - Configuration migration tool - docs/ENV_MIGRATION.md - Complete migration guide - .env.example - Environment variable template Testing: - Verified MySQL connection (8.0.44) - Tested all DAO operations - Confirmed 150 tables accessible - Validated configuration loading 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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