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