243 lines
9.0 KiB
Python
243 lines
9.0 KiB
Python
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import configparser
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import pandas as pd
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from sqlalchemy import create_engine
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from urllib.parse import quote_plus
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# @author: 阮世耀
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# 描述：处理ba_ma_input_check表数据到repair_audit_details表的迁移
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# 读取配置文件
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config = configparser.ConfigParser()
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config.read('config.ini')
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# 获取数据库连接配置
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source_config = {
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'host': config.get('source_db', 'host'),
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'user': config.get('source_db', 'user'),
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'password': config.get('source_db', 'password'),
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'database': config.get('source_db', 'database'),
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'port': config.getint('source_db', 'port')
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}
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target_config = {
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'host': config.get('target_db', 'host'),
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'user': config.get('target_db', 'user'),
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'password': config.get('target_db', 'password'),
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'database': config.get('target_db', 'database'),
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'port': config.getint('target_db', 'port')
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}
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# 创建数据库引擎
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source_engine = create_engine(
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f"mysql+pymysql://{source_config['user']}:{quote_plus(source_config['password'])}@{source_config['host']}:{source_config['port']}/{source_config['database']}"
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)
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target_engine = create_engine(
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f"mysql+pymysql://{target_config['user']}:{quote_plus(target_config['password'])}@{target_config['host']}:{target_config['port']}/{target_config['database']}"
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)
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def process_repair_audit_details():
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"""处理ba_ma_input_check表数据到repair_audit_details表的迁移"""
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try:
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# 源表查询SQL（包含UNION的复杂查询）
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sql = """
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SELECT
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bic.ID as task_id,
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bic.REPAIR_ID as repair_id,
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mm.TYPE AS type_id,
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ttm.MA_ID as ma_id,
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1 as repair_num,
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IF(ttm.MA_ID = tmsr.MA_ID, 1, 0) as scrap_num,
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1 - IF(ttm.MA_ID = tmsr.MA_ID, 1, 0) as repaired_num,
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bic.IS_SURE as status,
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bic.CREATE_TIME,
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bic.CREATOR as create_by
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FROM
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ba_ma_input_check bic
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LEFT JOIN ba_ma_scarp bms on bic.REPAIR_ID = bms.REPAIR_ID
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LEFT JOIN tm_ma_scarp_reason tmsr on bms.ID = tmsr.TASK_ID and tmsr.IS_COUNT = 0
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LEFT JOIN tm_task_ma ttm on ttm.task_id = bic.id
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LEFT JOIN ma_machines mm on ttm.ma_id = mm.id
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WHERE mm.id is not null
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UNION
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SELECT
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bic.ID as task_id,
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bic.REPAIR_ID as repair_id,
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ttmt.MA_TYPE_ID as type_id,
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null as ma_id,
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ttmt.MACHINES_NUM as repair_num,
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ttmt2.MACHINES_NUM as scrap_num,
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ttmt.MACHINES_NUM - ttmt2.MACHINES_NUM as repaired_num,
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bic.IS_SURE as status,
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bic.CREATE_TIME,
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bic.CREATOR as create_by
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FROM
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ba_ma_input_check bic
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LEFT JOIN tm_task_ma_type ttmt on bic.ID = ttmt.TASK_ID
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LEFT JOIN ba_ma_scarp bms on bic.REPAIR_ID = bms.REPAIR_ID
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LEFT JOIN tm_task_ma_type ttmt2 on bms.ID = ttmt2.TASK_ID and ttmt.MA_TYPE_ID = ttmt2.MA_TYPE_ID
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WHERE ttmt.IS_COUNT = 1
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"""
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print("正在执行复杂查询，请稍候...")
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# 执行查询获取源数据
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df = pd.read_sql(sql, source_engine)
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print(f"查询完成，获取到 {len(df)} 条原始记录")
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# 数据转换和字段映射
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result = pd.DataFrame()
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result['task_id'] = df['task_id']
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result['repair_id'] = df['repair_id']
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result['ma_id'] = df['ma_id'] # 可能为null
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result['type_id'] = df['type_id']
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result['repair_num'] = df['repair_num']
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result['repaired_num'] = df['repaired_num']
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result['scrap_num'] = df['scrap_num']
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result['create_by'] = df['create_by']
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result['create_time'] = df['CREATE_TIME']
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result['status'] = df['status']
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# 数据清洗
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# 移除关键字段为空的记录
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before_clean = len(result)
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result = result.dropna(subset=['task_id', 'repair_id', 'type_id'])
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after_clean = len(result)
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if before_clean != after_clean:
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print(f"数据清洗：移除了 {before_clean - after_clean} 条关键字段为空的记录")
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# 处理数值字段的空值，设为0
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numeric_fields = ['repair_num', 'repaired_num', 'scrap_num']
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for field in numeric_fields:
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result[field] = result[field].fillna(0)
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# 写入目标表
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result.to_sql('repair_audit_details', target_engine,
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if_exists='append', index=False)
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print(f"成功转换并导入 {len(result)} 条记录到 repair_audit_details")
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# 生成统计报告
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generate_statistics_report(result)
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return True
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except Exception as e:
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print(f"处理 repair_audit_details 时发生错误: {str(e)}")
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import traceback
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print("详细错误信息:")
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traceback.print_exc()
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return False
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def generate_statistics_report(result):
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"""生成详细的统计报告"""
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print("\n=== 数据统计报告 ===")
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# 基本统计
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print(f"总记录数: {len(result)}")
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# 按状态分组统计
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print(f"\n审核状态分布:")
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status_counts = result['status'].value_counts()
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for status, count in status_counts.items():
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status_desc = "已审核" if status == 1 else "待审核"
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print(f" - status = {status} ({status_desc}): {count} 条")
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# 有ma_id和无ma_id的记录分布
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print(f"\n设备记录类型分布:")
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ma_id_not_null = result['ma_id'].notna().sum()
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ma_id_null = result['ma_id'].isna().sum()
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print(f" - 具体设备记录 (ma_id不为空): {ma_id_not_null} 条")
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print(f" - 设备类型记录 (ma_id为空): {ma_id_null} 条")
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# 数量统计
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print(f"\n维修数量统计:")
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print(f" - 总维修数量: {result['repair_num'].sum()}")
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print(f" - 总修复数量: {result['repaired_num'].sum()}")
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print(f" - 总报废数量: {result['scrap_num'].sum()}")
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# 按repair_id分组统计
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repair_groups = result.groupby('repair_id').size()
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print(f"\n维修单分布:")
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print(f" - 涉及维修单数量: {len(repair_groups)}")
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print(f" - 平均每个维修单记录数: {repair_groups.mean():.2f}")
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def validate_data():
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"""验证迁移数据的完整性和逻辑一致性"""
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try:
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print("\n=== 开始数据验证 ===")
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# 检查目标表记录数
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target_count_sql = "SELECT COUNT(*) as total_count FROM repair_audit_details"
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target_count = pd.read_sql(target_count_sql, target_engine)['total_count'].iloc[0]
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print(f"目标表总记录数: {target_count}")
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# 检查数据逻辑一致性
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validation_sql = """
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SELECT
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COUNT(*) as total_records,
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COUNT(CASE WHEN ma_id IS NOT NULL THEN 1 END) as with_ma_id,
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COUNT(CASE WHEN ma_id IS NULL THEN 1 END) as without_ma_id,
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SUM(repair_num) as total_repair,
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SUM(repaired_num) as total_repaired,
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SUM(scrap_num) as total_scrapped
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FROM repair_audit_details
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"""
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validation_result = pd.read_sql(validation_sql, target_engine)
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print(f"\n逻辑验证结果:")
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print(f" - 总记录数: {validation_result['total_records'].iloc[0]}")
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print(f" - 有设备ID记录: {validation_result['with_ma_id'].iloc[0]}")
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print(f" - 无设备ID记录: {validation_result['without_ma_id'].iloc[0]}")
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print(f" - 总维修数: {validation_result['total_repair'].iloc[0]}")
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print(f" - 总修复数: {validation_result['total_repaired'].iloc[0]}")
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print(f" - 总报废数: {validation_result['total_scrapped'].iloc[0]}")
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# 检查数据完整性
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print(f"\n✅ 数据验证完成")
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return True
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except Exception as e:
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print(f"数据验证时发生错误: {str(e)}")
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return False
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def clear_existing_data():
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"""清理目标表中的现有数据（可选）"""
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try:
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confirmation = input("是否要清理目标表 repair_audit_details 中的现有数据？(y/N): ")
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if confirmation.lower() == 'y':
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with target_engine.connect() as conn:
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result = conn.execute("DELETE FROM repair_audit_details")
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print(f"已清理 {result.rowcount} 条现有数据")
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return True
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else:
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print("跳过数据清理")
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return True
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except Exception as e:
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print(f"清理数据时发生错误: {str(e)}")
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return False
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if __name__ == "__main__":
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print("=== repair_audit_details 审核明细数据迁移 ===")
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print("注意：此脚本将执行复杂的UNION查询，可能需要较长时间")
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print("开始执行数据迁移...")
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# 可选：清理现有数据
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if clear_existing_data():
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# 执行数据迁移
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if process_repair_audit_details():
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# 验证数据完整性
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validate_data()
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print("\n=== 迁移完成 ===")
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else:
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print("\n=== 迁移失败 ===")
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else:
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print("\n=== 迁移中止 ===")
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