import pandas as pd import math express_price = pd.read_excel(r'D:\test\logistics\data\售价尾端价格.xlsx', sheet_name='Sheet1') key_column = express_price.iloc[:, 8] # 第 I 列 value_column = express_price.iloc[:, 9] # 第 J 列 small_column = express_price.iloc[:, 10] # 第 K 列 big_column = express_price.iloc[:, 11] # 第 L 列 air_small_dict = dict(zip(key_column, small_column)) air_big_dict = dict(zip(key_column, big_column)) # 转换成字典 ocean_price_dict = dict(zip(key_column, value_column)) 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 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 = 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