Bonus-Transfer-Machines/machines/新购配件.py

143 lines
4.8 KiB
Python

import configparser
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(r'D:\code\Bonus-Transfer-Machines\machines\config.ini')
# 获取数据库连接配置
source_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_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')
}
# 创建数据库引擎
source_engine = create_engine(
f"mysql+pymysql://{source_config['user']}:{quote_plus(source_config['password'])}@{source_config['host']}:{source_config['port']}/{source_config['database']}"
)
target_engine = create_engine(
f"mysql+pymysql://{target_config['user']}:{quote_plus(target_config['password'])}@{target_config['host']}:{target_config['port']}/{target_config['database']}"
)
def process_tm_task():
"""处理新购任务数据"""
try:
# 执行转换SQL
sql = """
SELECT
bps.ID as task_id,
12 as task_type,
IF( SUM(ttmt.MACHINES_NUM) - IFNULL(SUM(ttmt.INPUT_NUM),0) =0,1,0) as task_status,
tt.`CODE` as code,
bps.BUYER as create_by,
tt.CREATE_TIME as create_time
FROM
ba_pa_shop bps
LEFT JOIN tm_task tt on bps.ID = tt.ID
LEFT JOIN tm_task_status tts on tt.`STATUS` = tts.`CODE`
LEFT JOIN tm_task_ma_type ttmt on bps.ID = ttmt.TASK_ID
WHERE tt.CREATE_TIME BETWEEN '2025-01-01' and NOW()
GROUP BY bps.ID
"""
df = pd.read_sql(sql, source_engine)
# 写入目标表
df.to_sql('tm_task', target_engine,
if_exists='append', index=False)
print(f"成功导入 {len(df)} 条新购配件任务表数据")
return True
except Exception as e:
print(f"处理新购配件任务表数据时出错: {str(e)}")
return False
def process_purchase_part_info():
try:
# 执行转换SQL
sql = """
SELECT
bps.ID as task_id,
bps.BUY_TIME as purchase_time,
bps.ACCEPT_TIME as arrival_time,
ttmt.MANUFACTURER_ID as supplier_id,
bps.BUYER as create_by,
tt.CREATE_TIME as create_time
FROM
ba_pa_shop bps
LEFT JOIN tm_task tt on bps.ID = tt.ID
LEFT JOIN tm_task_status tts on tt.`STATUS` = tts.`CODE`
LEFT JOIN tm_task_ma_type ttmt on bps.ID = ttmt.TASK_ID
WHERE tt.CREATE_TIME BETWEEN '2025-01-01' and NOW()
GROUP BY bps.ID
"""
df = pd.read_sql(sql, source_engine)
# 写入目标表
df.to_sql('purchase_part_info', target_engine,
if_exists='append', index=False)
print(f"成功导入 {len(df)} 条新购配件主表数据")
return True
except Exception as e:
print(f"处理新购配件主表数据时出错: {str(e)}")
return False
def process_purchase_part_details():
try:
# 执行转换SQL
sql = """
SELECT
bps.ID as task_id,
ttmt.MA_TYPE_ID as part_id,
ttmt.PRICE as purchase_price,
ttmt.MACHINES_NUM as purchase_num,
ttmt.MACHINES_NUM as check_num,
ttmt.INPUT_NUM as input_num,
ttmt.MANUFACTURER_ID as supplier_id,
IF(ttmt.MACHINES_NUM - IFNULL(ttmt.INPUT_NUM,0) = 0,1,0) as status,
bps.BUYER as create_by,
tt.CREATE_TIME as as create_time
FROM
ba_pa_shop bps
LEFT JOIN tm_task tt on bps.ID = tt.ID
LEFT JOIN tm_task_ma_type ttmt on bps.ID = ttmt.TASK_ID
WHERE tt.CREATE_TIME BETWEEN '2025-01-01' and NOW()
GROUP BY bps.ID,ttmt.MA_TYPE_ID
"""
df = pd.read_sql(sql, source_engine)
# 写入目标表
df.to_sql('purchase_part_details', target_engine,
if_exists='append', index=False)
print(f"成功导入 {len(df)} 条新购配件详情表数据")
return True
except Exception as e:
print(f"处理新购配件详情表数据时出错: {str(e)}")
return False
if __name__ == "__main__":
# 执行3个转换流程
success1 = process_tm_task()
success2 = process_purchase_part_info()
success3 = process_purchase_part_details()
if success1 and success2 and success3:
print("所有数据转换完成!")
else:
print("数据转换过程中出现错误,请检查日志")