dim_asin_amorders_info.py
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import os
import sys
import re
sys.path.append(os.path.dirname(sys.path[0])) # 上级目录
from utils.templates import Templates
# from ..utils.templates import Templates
from pyspark.sql import functions as F
from pyspark.sql.window import Window
from pyspark.sql.types import StructType, StructField, IntegerType, StringType
# 导入udf公共方法
from yswg_utils.common_udf import udf_parse_bs_category
# from ..yswg_utils.common_udf import udf_parse_bs_category
from utils.spark_util import SparkUtil
from utils.hdfs_utils import HdfsUtils
class DimAsinAmordersInfo(Templates):
def __init__(self, site_name='us', date_type="month", date_info='2022-1'):
super().__init__()
self.site_name = site_name
self.date_type = date_type
self.date_info = date_info
# 初始化self.spark对
self.db_save = 'dim_asin_amorders_info'
self.spark = self.create_spark_object(
app_name=f"{self.db_save}: {self.site_name}, {self.date_type}, {self.date_info}")
self.get_year_week_tuple()
self.df_save = self.spark.sql("select 1+1;")
self.df_asin_amazon_orders = self.spark.sql("select 1+1;")
self.df_asin_detail = self.spark.sql("select 1+1;")
self.partitions_by = ['site_name', 'date_type', 'date_info']
self.reset_partitions(partitions_num=10)
self.u_parse_amazon_orders = self.spark.udf.register('u_parse_amazon_orders', self.udf_parse_amazon_orders, IntegerType())
self.hdfs_path = f"/home/{SparkUtil.DEF_USE_DB}/dim/{self.db_save}/site_name={self.site_name}/date_type={self.date_type}/date_info={self.date_info}"
def read_data(self):
# us month, month_week, 4_week, week
# uk/de month, 4_week, week
if self.site_name in ['us', 'uk', 'de']:
if self.date_type in ['month', 'month_week']:
if (self.site_name == 'us') or (self.site_name in ['uk', 'de'] and self.date_info >= '2024-05'):
params = f"date_type='{self.date_type}' and date_info = '{self.date_info}'"
else:
params = f"date_type='week' and date_info in {self.year_week_tuple}"
else:
params = f"date_type='week' and date_info in {self.year_week_tuple}"
else:
params = f"date_type='week' and date_info in {self.year_week_tuple}"
sql = f"select asin, buy_data as asin_amazon_orders_str, created_time, 2 as asin_amazon_orders_label " \
f"from ods_other_search_term_data where site_name='{self.site_name}' and {params} and buy_data is not null;" # and date_info>='2023-15'
print(f"1. 读取ods_other_search_term_data表数据: sql -- {sql}")
self.df_asin_amazon_orders = self.spark.sql(sqlQuery=sql).cache()
self.df_asin_amazon_orders.show(10, truncate=False)
sql = f"select asin, buy_sales as asin_amazon_orders_str, created_at as created_time, 1 as asin_amazon_orders_label " \
f"from ods_asin_detail where site_name='{self.site_name}' and {params} and buy_sales is not null;" # and date_info>='2023-15'
print(f"1. 读取df_asin_detail表数据: sql -- {sql}")
self.df_asin_detail = self.spark.sql(sqlQuery=sql).cache()
self.df_asin_detail.show(10, truncate=False)
@staticmethod
def udf_parse_amazon_orders(asin_amazon_orders_str):
"""
解析asin详情页面的月销字段
"""
pattern = "(\d+[k]{0,})\+"
results_list = re.findall(pattern, str(asin_amazon_orders_str).lower())
if len(results_list) == 1:
result = int(results_list[0].replace("k", "000").replace(" ", ""))
else:
result = None
return result
def handle_data(self):
# 处理关键词页面的asin月销数据
window = Window.partitionBy(['asin']).orderBy(
self.df_asin_amazon_orders.asin_amazon_orders_str.desc_nulls_last(),
self.df_asin_amazon_orders.created_time.desc_nulls_last(),
)
self.df_asin_amazon_orders = self.df_asin_amazon_orders.withColumn("rk", F.row_number().over(window=window))
self.df_asin_amazon_orders = self.df_asin_amazon_orders.filter("rk=1").drop("rk").cache()
self.df_asin_amazon_orders.show(10, truncate=False)
# join
self.df_save = self.df_asin_detail.unionByName(self.df_asin_amazon_orders, allowMissingColumns=True)
# 处理asin详情页面的asin月销数据
window = Window.partitionBy(['asin']).orderBy(
self.df_save.asin_amazon_orders_str.desc_nulls_last(),
self.df_save.created_time.desc_nulls_last(),
)
self.df_save = self.df_save.withColumn("rk", F.row_number().over(window=window))
self.df_save = self.df_save.filter("rk=1").drop("rk").cache()
# 窗口函数还是会有重复
# self.df_save = self.df_save.dropDuplicates(['asin'])
# 解析亚马逊月销字段
self.df_save = self.df_save.withColumn('asin_amazon_orders', self.u_parse_amazon_orders('asin_amazon_orders_str'))
self.df_save = self.df_save.withColumn("site_name", F.lit(self.site_name))
self.df_save = self.df_save.withColumn("date_type", F.lit(self.date_type))
self.df_save = self.df_save.withColumn("date_info", F.lit(self.date_info))
self.df_save.show(10, truncate=False)
self.df_save.filter("asin_amazon_orders is not null").show(10, truncate=False)
self.df_save = self.df_save.withColumn('asin_amazon_orders', self.u_parse_amazon_orders('asin_amazon_orders_str'))
self.df_save.filter("asin_amazon_orders is not null").show(10, truncate=False)
print(f"清除hdfs目录中.....{self.hdfs_path}")
HdfsUtils.delete_file_in_folder(self.hdfs_path)
print(f"当前存储的表名为：{self.db_save},分区为{self.partitions_by}")
# self.df_save.write.saveAsTable(name=self.db_save, format='hive', mode='append', partitionBy=self.partitions_by)
# print("success")
# quit()
if __name__ == '__main__':
site_name = sys.argv[1] # 参数1：站点
date_type = sys.argv[2] # 参数2：类型：week/4_week/month/quarter
date_info = sys.argv[3] # 参数3：年-周/年-月/年-季, 比如: 2022-1
handle_obj = DimAsinAmordersInfo(site_name=site_name, date_type=date_type, date_info=date_info)
handle_obj.run()