import sys sys.path.append(r'D:\workspace\dags\logistics') import pandas as pd import math from utils.gtools import MySQLconnect,DBconnect # 取计算订单物流费的参数 with DBconnect() as db: express_dict= pd.read_sql("SELECT * FROM us_shop_logistics",db.eng) # 构建字典 air_small_dict = dict(zip(express_dict['g'], express_dict["空运usps_v2"])) air_big_dict = dict(zip(express_dict['g'], express_dict["空运fedex_v2"])) ocean_price_dict = dict(zip(express_dict['g'], express_dict["海运物流配置_v2"])) def ocean_order_price(packages): express_fee = 0 # 快递基础费 long_fee = 0 # 超长费 weight_fee = 0 # 超重费 big_fee = 0 # 大包裹费 express_type = '' express_type_weight = '' express_type_length = '' for package in packages: for key, value in ocean_price_dict.items(): if max(package.get_volume_weight(8500)*1000, package.weight) <=key: express_fee+=value break if package.fst_size>=116 or package.sed_size>=71 or package.girth>=251: long_fee += 16.3 if express_type_length == '': express_type_length ="超长" if package.weight>=21000 and package.fst_size<238 and package.girth<315: weight_fee+=25.5 express_type_weight ="超重" if package.fst_size>=238 or package.girth>=315: big_fee+=61.6 express_type_length ="大包裹" express_fee = 9999999 if express_fee ==0 else express_fee express_fee = express_fee + long_fee + weight_fee + big_fee express_type = express_type_length + express_type_weight # 卡派（步长为3） ltl_base = 0 ltl_fee = 0 count1 = 0 count2 = 0 count3 = 0 count4 = 0 ltl_type = '卡派' order_type_length='' order_type_weight='' order_ltl_oversize = 0 order_ltl_overweight1 = 0 order_ltl_overweight2 = 0 order_ltl_overpackage = 0 sku_total_cubic_feet = 0 for package in packages: cubic_feet= package.length * package.width * package.height / 1000000 * 35.3 sku_total_cubic_feet += cubic_feet # 卡派额外费用 if package.fst_size>= 250: count1 += 1 order_ltl_oversize = 118 if order_type_length == '': order_type_length = '超长' if package.weight >= 111000: count2 += 1 order_ltl_overweight1 = 78 order_type_weight = '超重' if package.weight >= 130000: count3 += 1 order_ltl_overweight2 = 30 if package.fst_size >= 310: count4 += 1 order_ltl_overpackage = 30 order_type_length = '大包裹' order_type2 = ltl_type +order_type_length+ order_type_weight # 卡派基础费用 体积/1000000 *35.3 if sku_total_cubic_feet < 25: ltl_base = round(163 / 0.45 / 2, 2) # 181.11 elif sku_total_cubic_feet < 35: ltl_base = round(180 / 0.45 / 2, 2) # 200 else: # 大于一个立方的（35立方英尺） 按照每立方英尺*5美金 # 最低为190美金 ltl_base = round(max(190, 5 * sku_total_cubic_feet) / 0.359 / 2) ltl_fee = math.ceil(count1 / 3) * order_ltl_oversize + math.ceil(count2 / 3) * order_ltl_overweight1 + math.ceil( count3 / 3) * order_ltl_overweight2 + math.ceil(count4 / 3) * order_ltl_overpackage + ltl_base if ltl_fee < express_fee: ocean_fee = ltl_fee order_type = order_type2 else: ocean_fee = express_fee order_type = express_type return ocean_fee, order_type def air_order_price(packages): express_fee = 0 express_type = '' for package in packages: price=0 bill_weight = max(package.weight, package.get_volume_weight(8500)) if package.weight<=420 and package.fst_size<=50 and package.sed_size<=40 and package.trd_size<=30: for key, value in air_small_dict.items(): if package.weight <=key: price =value break elif package.weight<=2718 and package.fst_size<=50 and package.sed_size<=40 and package.trd_size<=30: for key, value in air_small_dict.items(): if bill_weight <=key: price =value break else: for key, value in air_big_dict.items(): if bill_weight <=key: price =value break if package.weight<=420: express_fee+=((((min(max(package.density,37),337)*0.093+27.7)/6+0.65)*package.get_volume_weight(6000))*0.3+price)/0.45 if express_type == '': express_type='USPS' elif package.weight<=2718: express_fee+=(((min(max(package.density,37),337)*0.093+27.7)/6+0.65)*package.get_volume_weight(8500)*0.3+price)/0.45 if express_type == '' or express_type == 'USPS': express_type='UandF' else: express_fee+=(((min(max(package.density,37),337)*0.093+27.7-1.08)/6+0.65-1.06)*package.get_volume_weight(8500))/0.45+price express_type='FEDEX' return express_fee, express_type if __name__ == '__main__': sql = "SELECT * FROM `dim_erp_sku_package_vol_info` where id >=%s AND id <=%s AND logis_type IS NULL" from utils.gtools import MySQLconnect from tqdm import tqdm with MySQLconnect('dwd') as db: for i in tqdm(range(1,150)): # 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: ocean_order_price(x['erp_package_vol']), 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.logis_type = src.logitcs_type;""" # db.cur.executemany(update_sql, se) db.cur.execute(update_sql) db.con.commit() print(i,"结束")