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jiang
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@ -70,6 +70,7 @@ def process_bm_project_dept():
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result['unit_id'] = df['ID'] + 4000
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result['unit_name'] = df['NAME']
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result['type_id'] = 36 # 项目部固定值
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df['COMPANY_ID'] = df['COMPANY_ID'].astype(int)
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result['dept_id'] = df['COMPANY_ID'].map(dept_id_mapping)
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result['create_time'] = df['CREATE_TIME']
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@ -84,6 +85,7 @@ def process_bm_team_info():
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result['unit_id'] = df['ID'] + 5000
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result['unit_name'] = df['NAME']
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result['type_id'] = 33 # 施工队固定值
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df['COMPANY_ID'] = df['COMPANY_ID'].astype(int)
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result['dept_id'] = df['COMPANY_ID'].map(dept_id_mapping)
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result['create_time'] = df['CREATE_TIME']
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@ -111,7 +113,7 @@ def process_bm_rear_service():
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result['unit_id'] = df['id'] + 7000
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result['unit_name'] = df['rear_name']
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result['type_id'] = 1685 # 后勤科室固定值
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result['dept_id'] = df['company_id'] # 直接复制
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result['dept_id'] = df['company_id'].map(dept_id_mapping) # 直接复制
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# 注意：此表没有create_time字段
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return result
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@ -9,7 +9,7 @@ port = 13306
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host = localhost
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user = root
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password = Bonus@caiqi0802!
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database = test_jiju
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database = bns_cloud_material
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port = 13306
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[settings]
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@ -1,6 +1,7 @@
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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 sqlalchemy import text
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from urllib.parse import quote_plus
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# 读取配置文件
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config = configparser.ConfigParser()
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@ -66,7 +67,7 @@ def process_machine_types():
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# 按照规则转换数据
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result = pd.DataFrame()
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result['type_id'] = df['ID'] + 6000 # ID加6000
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result['parent_id'] = df['PARENT_ID']
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result['parent_id'] = df['PARENT_ID'] + 6000
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result['type_name'] = df['NAME']
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result['level'] = df['LEVEL']
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result['unit_name'] = df['UNIT_ID'].map(unit_mapping) # 单位映射
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@ -97,12 +98,16 @@ def process_machine_types():
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# 更新现有库存和租赁单价（根据type_id）
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with target_engine.connect() as conn:
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# 更新storage_num
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conn.execute("""
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UPDATE ma_type t, ma_machine_type s
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# 更新 storage_num
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conn.execute(text(f"""
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UPDATE {target_config['database']}.ma_type t
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JOIN {source_config['database']}.ma_machine_type s
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ON t.type_id = s.ID + 6000
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SET t.storage_num = s.STORAGE_NUM,
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t.lease_price = s.LEASE_PRICE
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WHERE t.type_id = s.ID + 6000
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""")
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t.lease_price = s.RENTAL_PRICE
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"""))
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conn.commit()
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print("已更新现有库存和租赁单价")
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return True
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78
安全/领料.py
78
安全/领料.py
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@ -45,7 +45,6 @@ UNIT_TYPE_MAPPING = {
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def process_tm_task():
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"""处理任务表数据"""
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try:
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# 执行转换SQL
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sql = """
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SELECT
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(be.ID + 500000) as task_id,
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@ -63,12 +62,9 @@ def process_tm_task():
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"""
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df = pd.read_sql(sql, source_engine)
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# 写入目标表
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df.to_sql('tm_task', target_engine, if_exists='append', index=False)
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print(f"成功导入 {len(df)} 条任务数据到tm_task表")
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return True
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except Exception as e:
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print(f"处理任务数据时出错: {str(e)}")
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return False
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@ -77,7 +73,6 @@ def process_tm_task():
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def process_tm_task_agreement():
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"""处理任务协议关联表数据"""
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try:
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# 第一步：查询基础数据
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base_sql = """
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SELECT
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(be.ID + 500000) as task_id,
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@ -95,58 +90,55 @@ def process_tm_task_agreement():
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"""
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base_df = pd.read_sql(base_sql, source_engine)
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# 准备存储结果
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results = []
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skipped_records = 0
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# 对每条记录处理
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for _, row in base_df.iterrows():
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try:
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# 确定unit_id和type_code
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# 转换字段为整数（遇到非数字自动变 NaN -> 转成 None）
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dept_id = pd.to_numeric(row['DEPT_ID'], errors='coerce')
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sub_id = pd.to_numeric(row['SUB_ID'], errors='coerce')
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team_id = pd.to_numeric(row['TEAM_ID'], errors='coerce')
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rear_id = pd.to_numeric(row['REAR_ID'], errors='coerce')
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project_id = pd.to_numeric(row['PROJECT_ID'], errors='coerce')
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unit_id = None
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type_code = None
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if row['TYPE'] == 6: # 施工队
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if row['TEAM_ID'] > 0:
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unit_id = int(row['TEAM_ID'])
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type_code = 'sgd'
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elif row['TYPE'] == 7: # 项目部
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if row['DEPT_ID'] > 0:
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unit_id = int(row['DEPT_ID'])
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type_code = 'xmb'
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elif row['TYPE'] == 122: # 分包商
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if row['SUB_ID'] > 0:
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unit_id = int(row['SUB_ID'])
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type_code = 'fbs'
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elif row['TYPE'] == 126: # 后勤
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if row['REAR_ID'] > 0:
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unit_id = int(row['REAR_ID'])
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type_code = 'hq'
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if row['TYPE'] == 6 and pd.notna(team_id) and team_id > 0:
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unit_id = int(team_id)
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type_code = 'sgd'
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elif row['TYPE'] == 7 and pd.notna(dept_id) and dept_id > 0:
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unit_id = int(dept_id)
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type_code = 'xmb'
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elif row['TYPE'] == 122 and pd.notna(sub_id) and sub_id > 0:
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unit_id = int(sub_id)
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type_code = 'fbs'
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elif row['TYPE'] == 126 and pd.notna(rear_id) and rear_id > 0:
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unit_id = int(rear_id)
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type_code = 'hq'
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# 检查必要参数是否有效
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if not unit_id or not type_code or row['PROJECT_ID'] <= 0:
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if not unit_id or not type_code or pd.isna(project_id) or project_id <= 0:
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skipped_records += 1
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continue
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# 使用参数化查询避免字符串拼接问题
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agreement_id = get_agreement_id(unit_id, int(row['PROJECT_ID']), type_code)
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agreement_id = get_agreement_id(unit_id, int(project_id), type_code)
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if agreement_id:
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if agreement_id:
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results.append({
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'task_id': int(row['task_id']),
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'agreement_id': int(agreement_id)
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})
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results.append({
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'task_id': int(row['task_id']),
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'agreement_id': int(agreement_id)
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})
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except Exception as e:
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print(f"查询agreement_id时出错: {str(e)}")
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continue
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# 转换为DataFrame并写入
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if results:
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result_df = pd.DataFrame(results)
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result_df.to_sql('tm_task_agreement', target_engine, if_exists='append', index=False)
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print(f"成功导入 {len(result_df)} 条任务协议关联数据到tm_task_agreement表")
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return True
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else:
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print("没有找到匹配的任务协议关联数据")
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print(f"没有找到匹配的任务协议关联数据，跳过 {skipped_records} 条记录")
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return False
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except Exception as e:
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@ -175,7 +167,6 @@ def get_agreement_id(unit_id, project_id, type_code):
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def process_lease_apply_info():
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"""处理租赁申请信息表数据"""
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try:
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# 执行转换SQL
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sql = """
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SELECT
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(be.ID + 500000) as id,
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@ -194,13 +185,9 @@ def process_lease_apply_info():
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be.DEFINITION_ID = 1
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"""
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df = pd.read_sql(sql, source_engine)
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# 写入目标表
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df.to_sql('lease_apply_info', target_engine, if_exists='append', index=False)
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print(f"成功导入 {len(df)} 条租赁申请信息数据")
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return True
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except Exception as e:
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print(f"处理租赁申请信息时出错: {str(e)}")
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return False
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@ -209,7 +196,6 @@ def process_lease_apply_info():
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def process_lease_apply_details():
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"""处理租赁申请明细数据"""
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try:
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# 执行转换SQL
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sql = """
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SELECT
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(be.ID + 500000) as parent_id,
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@ -227,13 +213,9 @@ def process_lease_apply_details():
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bpf.ID
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"""
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df = pd.read_sql(sql, source_engine)
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# 写入目标表
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df.to_sql('lease_apply_details', target_engine, if_exists='append', index=False)
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print(f"成功导入 {len(df)} 条租赁申请明细数据")
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return True
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except Exception as e:
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print(f"处理租赁申请明细时出错: {str(e)}")
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return False
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@ -242,7 +224,6 @@ def process_lease_apply_details():
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def process_lease_out_details():
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"""处理租赁出库明细数据"""
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try:
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# 执行转换SQL
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sql = """
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SELECT
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(bfd.EXAMPLE_ID + 500000) as parent_id,
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@ -256,20 +237,15 @@ def process_lease_out_details():
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LEFT JOIN pm_user pu on bfd.CREATOR = pu.ID
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"""
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df = pd.read_sql(sql, source_engine)
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# 写入目标表
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df.to_sql('lease_out_details', target_engine, if_exists='append', index=False)
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print(f"成功导入 {len(df)} 条租赁出库明细数据")
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return True
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except Exception as e:
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print(f"处理租赁出库明细时出错: {str(e)}")
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return False
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if __name__ == "__main__":
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# 执行所有转换流程
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results = [
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process_tm_task(),
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process_tm_task_agreement(),
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@ -78,7 +78,8 @@ def transform_and_load_agreement(config_file_path):
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target_df['create_time'] = source_df['CREATE_TIME']
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# 替换字段（IS_BALANCE → is_slt）
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target_df['is_slt'] = source_df['IS_BALANCE'].map(is_slt_mapping)
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# 替换字段（IS_BALANCE → is_slt）
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target_df['is_slt'] = source_df['IS_BALANCE'].astype(int).map(is_slt_mapping)
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# 检查未映射的值
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if target_df['is_slt'].isna().any():
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@ -1,16 +1,15 @@
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[source_db]
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host = 192.168.1.114
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user = boot
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password = boot@123
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host = localhost
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user = root
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password = Bonus@caiqi0802!
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database = newimt
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port = 13306
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[target_db]
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host = 192.168.1.114
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user = boot
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password = boot@123
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database = test_jiju
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host = 10.138.55.133
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user = prod_jiju
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password = bns@sbdahjj2025
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database = bns_jiju_material
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port = 13306
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[settings]
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rule_file = C:\Users\bonus-lvjilong\Desktop\机具系统数据迁移\ma_supplier_info.xlsx
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@ -80,7 +80,7 @@ def process_purchase_check_info():
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LEFT JOIN tm_task tt on bms.ID = tt.ID
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LEFT JOIN tm_task_status tts on tt.`STATUS` = tts.`CODE`
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LEFT JOIN tm_task_ma_type ttmt on bms.ID = ttmt.TASK_ID
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WHERE tt.CREATE_TIME BETWEEN '2025-01-01' and NOW()
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WHERE tt.CREATE_TIME BETWEEN '2025-01-01' and NOW() AND ttmt.MA_TYPE_ID IS NOT NULL
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GROUP BY bms.ID
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"""
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df = pd.read_sql(sql, source_engine)
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@ -116,7 +116,7 @@ def process_purchase_check_details():
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ba_ma_shop bms
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LEFT JOIN tm_task tt on bms.ID = tt.ID
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LEFT JOIN tm_task_ma_type ttmt on bms.ID = ttmt.TASK_ID
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WHERE tt.CREATE_TIME BETWEEN '2025-01-01' and NOW()
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WHERE tt.CREATE_TIME BETWEEN '2025-01-01' and NOW() AND ttmt.MA_TYPE_ID IS NOT NULL
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GROUP BY bms.ID,ttmt.MA_TYPE_ID
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"""
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df = pd.read_sql(sql, source_engine)
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@ -84,7 +84,8 @@ def process_purchase_part_info():
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GROUP BY bps.ID
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"""
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df = pd.read_sql(sql, source_engine)
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df['purchase_time'] = df['purchase_time'].replace({'': None})
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df['arrival_time'] = df['arrival_time'].replace({'': None})
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# 写入目标表
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df.to_sql('purchase_part_info', target_engine,
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if_exists='append', index=False)
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@ -110,7 +111,7 @@ def process_purchase_part_details():
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ttmt.MANUFACTURER_ID as supplier_id,
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IF(ttmt.MACHINES_NUM - IFNULL(ttmt.INPUT_NUM,0) = 0,1,0) as status,
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bps.BUYER as create_by,
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tt.CREATE_TIME as as create_time
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tt.CREATE_TIME as create_time
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FROM
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ba_pa_shop bps
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LEFT JOIN tm_task tt on bps.ID = tt.ID
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73
机具/维修.py
73
机具/维修.py
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@ -106,7 +106,7 @@ def process_repair_apply_details():
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SELECT
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bmr.ID as task_id,
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ttmt.MA_TYPE_ID as type_id,
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NULL as ma_id,
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null as ma_id,
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ttmt.MACHINES_NUM as repair_num,
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ttmt.ACTUAL_NUM as repaired_num,
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ttmt2.MACHINES_NUM as scrap_num,
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@ -121,7 +121,7 @@ def process_repair_apply_details():
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LEFT JOIN tm_task_ma_type ttmt on bmr.ID = ttmt.TASK_ID
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LEFT JOIN ba_ma_scarp bms on bms.REPAIR_ID = bmr.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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WHERE ttmt.IS_COUNT = 1 and bmr.ID not in(519)
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GROUP BY ttmt.TASK_ID, ttmt.MA_TYPE_ID
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"""
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@ -147,6 +147,7 @@ FROM
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LEFT JOIN ba_ma_repair bmr ON brp.repair_id = bmr.ID
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LEFT JOIN tm_task tt ON bmr.ID = tt.ID
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LEFT JOIN ma_machines mm ON brp.ma_id = mm.id
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WHERE bmr.ID not in(519)
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"""
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# 来源3：编码申请维修含报废
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@ -169,22 +170,65 @@ FROM
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LEFT JOIN tm_task tt on bmr.ID = tt.ID
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LEFT JOIN tm_ma_scarp_reason tmsr on bms.ID = tmsr.TASK_ID
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LEFT JOIN ma_machines mm on tmsr.ma_id = mm.id
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WHERE tmsr.IS_COUNT = 0
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WHERE tmsr.IS_COUNT = 0 and bmr.ID not in(519)
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"""
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# 合并三个来源的数据
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df1 = pd.read_sql(sql1, source_engine)
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#df1 = pd.read_sql(sql1, source_engine)
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df2 = pd.read_sql(sql2, source_engine)
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df3 = pd.read_sql(sql3, source_engine)
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df = pd.concat([df1, df2, df3], ignore_index=True)
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df = pd.concat([ df2, df3], ignore_index=True)
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# 过滤掉type_id为NULL的记录
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initial_count = len(df)
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df = df[df['type_id'].notna()]
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filtered_count = len(df)
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if initial_count > filtered_count:
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print(f"过滤掉了 {initial_count - filtered_count} 条type_id为NULL的记录")
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# 转换数值字段
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num_cols = ['repair_num', 'repaired_num', 'scrap_num', 'status', 'is_ds']
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for col in num_cols:
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df[col] = safe_convert_to_int(df[col])
|
||||
|
||||
df.to_sql('repair_apply_details', target_engine, if_exists='append', index=False)
|
||||
print(f"成功导入 {len(df)} 条维修申请明细（合并3个来源）")
|
||||
# 检查目标表中已存在的记录
|
||||
check_existing_sql = """
|
||||
SELECT task_id, ma_id, type_id
|
||||
FROM repair_apply_details
|
||||
"""
|
||||
existing_records = pd.read_sql(check_existing_sql, target_engine)
|
||||
|
||||
# 创建唯一标识符进行比较
|
||||
if not existing_records.empty:
|
||||
# 为现有记录创建复合键
|
||||
existing_records['composite_key'] = existing_records['task_id'].astype(str) + '_' + \
|
||||
existing_records['ma_id'].astype(str) + '_' + \
|
||||
existing_records['type_id'].astype(str)
|
||||
|
||||
# 为新记录创建复合键
|
||||
df['composite_key'] = df['task_id'].astype(str) + '_' + \
|
||||
df['ma_id'].astype(str) + '_' + \
|
||||
df['type_id'].astype(str)
|
||||
|
||||
# 过滤掉已存在的记录
|
||||
before_dedup_count = len(df)
|
||||
df = df[~df['composite_key'].isin(existing_records['composite_key'])]
|
||||
after_dedup_count = len(df)
|
||||
|
||||
# 移除临时列
|
||||
df = df.drop(columns=['composite_key'])
|
||||
|
||||
if before_dedup_count > after_dedup_count:
|
||||
print(f"去除了 {before_dedup_count - after_dedup_count} 条已存在的记录")
|
||||
|
||||
# 插入新记录
|
||||
if not df.empty:
|
||||
df.to_sql('repair_apply_details', target_engine, if_exists='append', index=False)
|
||||
print(f"成功导入 {len(df)} 条维修申请明细（合并3个来源）")
|
||||
else:
|
||||
print("没有新的维修申请明细需要导入")
|
||||
|
||||
return True
|
||||
except Exception as e:
|
||||
print(f"处理维修申请明细时出错: {str(e)}")
|
||||
|
|
@ -212,7 +256,7 @@ def process_repair_apply_record():
|
|||
LEFT JOIN tm_task_ma_type ttmt on bmr.ID = ttmt.TASK_ID
|
||||
LEFT JOIN ba_ma_scarp bms on bms.REPAIR_ID = bmr.ID
|
||||
LEFT JOIN tm_task_ma_type ttmt2 on bms.ID = ttmt2.TASK_ID AND ttmt.MA_TYPE_ID = ttmt2.MA_TYPE_ID
|
||||
WHERE ttmt.IS_COUNT = 1
|
||||
WHERE ttmt.IS_COUNT = 1 and bmr.ID not in(519)
|
||||
GROUP BY ttmt.TASK_ID, ttmt.MA_TYPE_ID
|
||||
HAVING repair_num > 0
|
||||
"""
|
||||
|
|
@ -236,7 +280,7 @@ def process_repair_apply_record():
|
|||
LEFT JOIN ba_ma_scarp bms on bms.REPAIR_ID = bmr.ID
|
||||
LEFT JOIN tm_ma_scarp_reason tmsr on bms.ID = tmsr.TASK_ID
|
||||
LEFT JOIN tm_task_ma_type ttmt2 on bms.ID = ttmt2.TASK_ID AND ttmt.MA_TYPE_ID = ttmt2.MA_TYPE_ID
|
||||
WHERE ttmt.IS_COUNT = 1
|
||||
WHERE ttmt.IS_COUNT = 1 and bmr.ID not in(519)
|
||||
GROUP BY ttmt.TASK_ID, ttmt.MA_TYPE_ID
|
||||
HAVING scrap_num > 0
|
||||
"""
|
||||
|
|
@ -258,6 +302,7 @@ def process_repair_apply_record():
|
|||
ba_ma_repair_pass brp
|
||||
LEFT JOIN ba_ma_repair bmr on brp.repair_id = bmr.ID
|
||||
LEFT JOIN ma_machines mm on brp.ma_id = mm.id
|
||||
WHERE bmr.ID not in(519)
|
||||
"""
|
||||
|
||||
# 来源4：编码维修报废
|
||||
|
|
@ -278,7 +323,7 @@ def process_repair_apply_record():
|
|||
LEFT JOIN ba_ma_repair bmr on bms.repair_id = bmr.ID
|
||||
LEFT JOIN tm_ma_scarp_reason tmsr on bms.ID = tmsr.TASK_ID
|
||||
LEFT JOIN ma_machines mm on tmsr.ma_id = mm.id
|
||||
WHERE tmsr.IS_COUNT = 0
|
||||
WHERE tmsr.IS_COUNT = 0 and bmr.ID not in(519)
|
||||
"""
|
||||
|
||||
# 合并四个来源的数据
|
||||
|
|
@ -336,11 +381,11 @@ def process_repair_cost():
|
|||
if __name__ == "__main__":
|
||||
# 执行所有转换流程
|
||||
processes = [
|
||||
process_tm_task,
|
||||
process_tm_task_agreement,
|
||||
#process_tm_task,
|
||||
#process_tm_task_agreement,
|
||||
process_repair_apply_details,
|
||||
process_repair_apply_record,
|
||||
process_repair_cost
|
||||
#process_repair_apply_record,
|
||||
#process_repair_cost
|
||||
]
|
||||
|
||||
success = all([p() for p in processes])
|
||||
|
|
|
|||
Loading…
Reference in New Issue