Files
playwrite/db/connection.py
Misaka aaa46ef282 feat: migrate configuration to .env environment variables
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>
2026-02-09 22:39:14 +08:00

91 lines
2.7 KiB
Python

"""
数据库连接组件
提供数据库连接和查询接口,支持 SQL Server 和 MySQL
"""
from typing import List, Dict, Any, Optional
import sys
import os
# 添加项目根目录到 sys.path
project_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
if project_root not in sys.path:
sys.path.insert(0, project_root)
from config.schema import DatabaseType
from db.connection_factory import ConnectionFactory
from db.base_connection import BaseDatabaseConnection
def get_connection(config=None) -> BaseDatabaseConnection:
"""
获取数据库连接实例
Args:
config: 可选的数据库配置对象,默认从用户配置文件加载
Returns:
BaseDatabaseConnection: 数据库连接对象
"""
if config is not None:
# 使用提供的配置
database_config = config
else:
# 从用户配置文件加载
from config.loader import ConfigLoader
app_config = ConfigLoader.load()
database_config = app_config.database
return ConnectionFactory.create_from_config(database_config)
def query_production_orders(总排号_list: List[str]) -> List[Dict[str, Any]]:
"""
根据总排号列表查询生产订单号
支持两种数据库格式:
- SQL Server: [productionContractData].[26年压力表合同数据]
- MySQL: productionContractData_26年压力表合同数据
Args:
总排号_list: 总排号列表
Returns:
List[Dict[str, Any]]: 查询结果
"""
from db.table_name_converter import TableNameConverter
from config.loader import ConfigLoader
# 获取当前数据库类型
app_config = ConfigLoader.load()
db_type = app_config.database.db_type
with get_connection() as db:
# 获取正确的占位符
placeholder = db.get_placeholder()
# 构建占位符字符串
placeholders = ",".join([placeholder for _ in 总排号_list])
# 根据数据库类型选择表名格式
if db_type == DatabaseType.MYSQL:
table_name = "productionContractData_26年压力表合同数据"
sql = f"""
SELECT 总排号, 生产订单号, 序号, 订单号, 客户名称, 产品型号
FROM {table_name}
WHERE 总排号 IN ({placeholders})
ORDER BY 序号
"""
else:
table_name = "[productionContractData].[26年压力表合同数据]"
sql = f"""
SELECT [总排号], [生产订单号], [序号], [订单号], [客户名称], [产品型号]
FROM {table_name}
WHERE [总排号] IN ({placeholders})
ORDER BY [序号]
"""
results = db.execute_query(sql, tuple(总排号_list))
return results