logistics/sell/logistic_price/uk_price.py

# 英国海运订单费用,返回单个sku的订单费用和订单类型
import sys
sys.path.append(r'D:\workspace\dags\logistics')
import pandas as pd

import math
from utils.Package import Package, Package_group
import re
def uk_ocean_order_price(packages_dict_str,k):
    """
    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
    入参:k是物流分摊费,也就是k

    出参: 订单物流费，订单类型
    """

    packages = Package_group()
    def extract_number(value):
    # 提取字符串中的第一个数字
        match = re.search(r"[-+]?\d*\.\d+|\d+", str(value))
        return float(match.group()) if match else 0.0
    packages_dict = eval(packages_dict_str)
    if len(packages_dict) == 0:
        return (0,0)
    for key, package in packages_dict.items():
        package['长'] = extract_number(package['长'])
        package['宽'] = extract_number(package['宽'])
        package['高'] = extract_number(package['高'])
        package['重量'] = extract_number(package['重量'])
    
        if package['长'] == 0 or package['宽'] == 0 or package['高'] == 0 or package['重量'] == 0:
            return (0,0)
        packages.add_package(Package(key,package['长'], package['宽'], package['高'], package['重量']))
            
    # 计算uk经济直达费用
    order_fee = 0
    express_fee = 0
    order_type1 = ''  # 订单类型
    num = len(packages)
    if num > 30:
        return 0, '包裹数超过30'
    for package in packages:
        base_fee = 0
        other_fee1 = 0
        if package.fst_size <= 175 and package.girth <= 339 and package.weight <= 40000:
            base_fee = 3.7/0.359*1.3-k-0.8*package.get_volume_weight(6000)
        else:
            base_fee = 999999
        if package.fst_size >=100 or package.sed_size >=60 or package.weight >=30000:
            other_fee1 =45
            order_type1 += '大包裹'
        
        express_fee += (base_fee + other_fee1)
    express_fee = round(express_fee, 2)

    # 卡派 主计费实重，辅计费抛重
    ltl_fee = 0
    order_type2 = '卡派'
    sku_total_cubic_feet = 0
    for package in packages:
        cubic_feet= package.length * package.width * package.height / 6000
        sku_total_cubic_feet += cubic_feet
        if package.length >310:
            return 999999,'包裹超尺寸'
    ltl_fee = max(151/0.359 - 2.4 /7 * sku_total_cubic_feet,2.5) 

    if express_fee <= ltl_fee:
        order_fee = express_fee
        order_type = order_type1
    else:
        order_fee = ltl_fee
        order_type = order_type2
    return max(round(order_fee,2),2), order_type
if __name__ == '__main__':
    import sys
    sys.path.append(r'D:\workspace\dags\logistics')

    sql = """SELECT 
    t1.*,
      t2.`物流分摊`
      FROM 
        `dim_erp_sku_package_vol_info`t1 left join ods.stg_bayshop_litfad_sku t2 on t1.erp_sku = t2.SKU
      where id >=%s AND id <=%s
        AND uk_price IS NULL
         AND `物流分摊` IS NOT NULL 
     """
    from utils.gtools import MySQLconnect
    from tqdm import tqdm
    import pandas as pd 
    with MySQLconnect('dwd') as db:
        for i in tqdm(range(0,150)):
            # count=0
            print(i,"开始")
            dfsql = sql % (i*100000, (i+1)*100000-1)
            df = pd.read_sql(dfsql, db.engine())
            if len(df) == 0:
                continue
            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')
            pd.io.sql.to_sql(df, "temp_update",db.eng, if_exists='replace', index=False )
            #添加主键ID
            modifysql = """ALTER TABLE `temp_update` ADD PRIMARY KEY (`id`)
            """
            db.cur.execute(modifysql)

            # se = [tuple([round(x['us_price'],2),x['id']]) for y,x in df.iterrows()]
            update_sql = """
            UPDATE dim_erp_sku_package_vol_info AS target
            JOIN temp_update AS src 
                ON target.id = src.id  -- 根据主键关联
            SET target.uk_price = src.us_price;"""
            # db.cur.executemany(update_sql, se)
            db.cur.execute(update_sql)
            db.con.commit()
            print(i,"结束")