114 lines
4.2 KiB
Python
114 lines
4.2 KiB
Python
# 英国海运订单费用,返回单个sku的订单费用和订单类型
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import sys
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sys.path.append(r'D:\workspace\dags\logistics')
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import pandas as pd
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import math
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from utils.Package import Package, Package_group
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import re
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def uk_ocean_order_price(packages_dict_str,k):
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"""
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入参:packages的类型是Package_group,里面包含多个Package,这是一个类,这个类今天在群里发过
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入参:k是物流分摊费,也就是k
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出参: 订单物流费，订单类型
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"""
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packages = Package_group()
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def extract_number(value):
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# 提取字符串中的第一个数字
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match = re.search(r"[-+]?\d*\.\d+|\d+", str(value))
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return float(match.group()) if match else 0.0
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packages_dict = eval(packages_dict_str)
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if len(packages_dict) == 0:
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return (0,0)
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for key, package in packages_dict.items():
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package['长'] = extract_number(package['长'])
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package['宽'] = extract_number(package['宽'])
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package['高'] = extract_number(package['高'])
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package['重量'] = extract_number(package['重量'])
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if package['长'] == 0 or package['宽'] == 0 or package['高'] == 0 or package['重量'] == 0:
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return (0,0)
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packages.add_package(Package(key,package['长'], package['宽'], package['高'], package['重量']))
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# 计算uk经济直达费用
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order_fee = 0
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express_fee = 0
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order_type1 = '' # 订单类型
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num = len(packages)
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if num > 30:
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return 0, '包裹数超过30'
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for package in packages:
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base_fee = 0
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other_fee1 = 0
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if package.fst_size <= 175 and package.girth <= 339 and package.weight <= 40000:
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base_fee = 3.7/0.359*1.3-k-0.8*package.get_volume_weight(6000)
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else:
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base_fee = 999999
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if package.fst_size >=100 or package.sed_size >=60 or package.weight >=30000:
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other_fee1 =45
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order_type1 += '大包裹'
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express_fee += (base_fee + other_fee1)
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express_fee = round(express_fee, 2)
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# 卡派 主计费实重，辅计费抛重
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ltl_fee = 0
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order_type2 = '卡派'
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sku_total_cubic_feet = 0
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for package in packages:
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cubic_feet= package.length * package.width * package.height / 6000
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sku_total_cubic_feet += cubic_feet
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if package.length >310:
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return 999999,'包裹超尺寸'
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ltl_fee = max(151/0.359 - 2.4 /7 * sku_total_cubic_feet,2.5)
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if express_fee <= ltl_fee:
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order_fee = express_fee
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order_type = order_type1
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else:
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order_fee = ltl_fee
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order_type = order_type2
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return max(round(order_fee,2),2), order_type
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if __name__ == '__main__':
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import sys
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sys.path.append(r'D:\workspace\dags\logistics')
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sql = """SELECT
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t1.*,
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t2.`物流分摊`
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FROM
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`dim_erp_sku_package_vol_info`t1 left join ods.stg_bayshop_litfad_sku t2 on t1.erp_sku = t2.SKU
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where id >=%s AND id <=%s
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AND uk_price IS NULL
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AND `物流分摊` IS NOT NULL
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"""
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from utils.gtools import MySQLconnect
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from tqdm import tqdm
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import pandas as pd
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with MySQLconnect('dwd') as db:
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for i in tqdm(range(0,150)):
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# count=0
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print(i,"开始")
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dfsql = sql % (i*100000, (i+1)*100000-1)
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df = pd.read_sql(dfsql, db.engine())
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if len(df) == 0:
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continue
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df[['us_price','logitcs_type']] = df.apply(lambda x: uk_ocean_order_price(x['erp_package_vol'],x['物流分摊']), axis=1, result_type='expand')
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pd.io.sql.to_sql(df, "temp_update",db.eng, if_exists='replace', index=False )
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#添加主键ID
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modifysql = """ALTER TABLE `temp_update` ADD PRIMARY KEY (`id`)
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"""
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db.cur.execute(modifysql)
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# se = [tuple([round(x['us_price'],2),x['id']]) for y,x in df.iterrows()]
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update_sql = """
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UPDATE dim_erp_sku_package_vol_info AS target
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JOIN temp_update AS src
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ON target.id = src.id -- 根据主键关联
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SET target.uk_price = src.us_price;"""
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# db.cur.executemany(update_sql, se)
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db.cur.execute(update_sql)
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db.con.commit()
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print(i,"结束") |