import configparser
import pymysql
import pandas as pd
from sqlalchemy import create_engine
from urllib.parse import quote_plus
# 读取配置文件
config = configparser.ConfigParser()
config.read('config.ini')

# 从配置文件获取数据库连接信息
source_db_config = {
    'host': config.get('source_db', 'host'),
    'user': config.get('source_db', 'user'),
    'password': config.get('source_db', 'password'),
    'database': config.get('source_db', 'database'),
    'port': config.getint('source_db', 'port')
}

target_db_config = {
    'host': config.get('target_db', 'host'),
    'user': config.get('target_db', 'user'),
    'password': config.get('target_db', 'password'),
    'database': config.get('target_db', 'database'),
    'port': config.getint('target_db', 'port')
}

# 创建SQLAlchemy引擎
source_engine = create_engine(
    f"mysql+pymysql://{source_db_config['user']}:{quote_plus(source_db_config['password'])}@{source_db_config['host']}:{source_db_config['port']}/{source_db_config['database']}"
)
target_engine = create_engine(
    f"mysql+pymysql://{target_db_config['user']}:{quote_plus(target_db_config['password'])}@{target_db_config['host']}:{target_db_config['port']}/{target_db_config['database']}"
)

# 定义替换映射（可以从规则文件中读取，这里保持硬编码）
type_id_mapping = {
    '项目部': 36,
    '施工队': 33,
    '分包商': 32,
    '后勤科室': 1685,
    '外单位': 1704,
    '修试部门': 1706
}

dept_id_mapping = {
    5: 340,  # 安徽顺全电力工程有限公司
    4: 102,  # 送电二分公司
    3: 327,  # 送电一分公司
    6: 101,  # 机具（物流）分公司
    7: 346,  # 运检分公司
    8: 338,  # 建筑分公司
    9: 309,  # 安徽宏源电力建设有限公司
    10: 347,  # 公司培训中心（宏源工业园）
    11: 337,  # 检修试验分公司
    12: 100,  # 变电分公司
    13: 348,  # 预制构件分公司
    14: 344,  # 机械化分公司
    15: 342,  # 公司机关
    16: 345,  # 外单位租赁业务
    17: 339,  # 安徽顺安电网建设有限公司
    18: 341  # 班组管理中心
}


def process_bm_project_dept():
    """处理bm_project_dept表数据"""
    df = pd.read_sql("SELECT * FROM bm_project_dept", source_engine)

    result = pd.DataFrame()
    result['unit_id'] = df['ID'] + 4000
    result['unit_name'] = df['NAME']
    result['type_id'] = 36  # 项目部固定值
    result['dept_id'] = df['COMPANY_ID'].map(dept_id_mapping)
    result['create_time'] = df['CREATE_TIME']

    return result


def process_bm_team_info():
    """处理bm_team_info表数据"""
    df = pd.read_sql("SELECT * FROM bm_team_info where IS_ACTIVE = 1", source_engine)

    result = pd.DataFrame()
    result['unit_id'] = df['ID'] + 5000
    result['unit_name'] = df['NAME']
    result['type_id'] = 33  # 施工队固定值
    result['dept_id'] = df['COMPANY_ID'].map(dept_id_mapping)
    result['create_time'] = df['CREATE_TIME']

    return result


def process_bm_sub_contractor_info():
    """处理bm_sub_contractor_info表数据"""
    df = pd.read_sql("SELECT * FROM bm_sub_contractor_info", source_engine)

    result = pd.DataFrame()
    result['unit_id'] = df['ID'] + 6000
    result['unit_name'] = df['NAME']
    result['type_id'] = 32  # 分包商固定值
    # 注意：此表没有dept_id字段

    return result


def process_bm_rear_service():
    """处理bm_rear_service表数据"""
    df = pd.read_sql("SELECT * FROM bm_rear_service", source_engine)

    result = pd.DataFrame()
    result['unit_id'] = df['id'] + 7000
    result['unit_name'] = df['rear_name']
    result['type_id'] = 1685  # 后勤科室固定值
    result['dept_id'] = df['company_id']  # 直接复制
    # 注意：此表没有create_time字段

    return result


def main():
    try:
        # 处理所有源表
        df_project = process_bm_project_dept()
        df_team = process_bm_team_info()
        df_sub = process_bm_sub_contractor_info()
        df_rear = process_bm_rear_service()

        # 合并所有数据
        final_df = pd.concat([df_project, df_team, df_sub, df_rear], ignore_index=True)

        # 写入目标数据库
        final_df.to_sql('bm_unit', target_engine, if_exists='append', index=False)

        print("数据转换和导入成功完成！")
        print(f"共导入 {len(final_df)} 条记录")

    except Exception as e:
        print(f"处理过程中发生错误: {str(e)}")


if __name__ == "__main__":
    main()