dwt_aba_st_analytics.py
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import os
import sys
from datetime import datetime
sys.path.append(os.path.dirname(sys.path[0]))
from utils.ssh_util import SSHUtil
from utils.common_util import CommonUtil, DateTypes
from utils.db_util import DBUtil
if __name__ == '__main__':
# 获取入参
site_name = CommonUtil.get_sys_arg(1, None)
date_type = CommonUtil.get_sys_arg(2, None)
date_info = CommonUtil.get_sys_arg(3, None)
# 获取最后一个参数
test_flag = CommonUtil.get_sys_arg(len(sys.argv) - 1, None)
print(f"执行参数为{sys.argv}")
print(test_flag)
if test_flag == 'test':
db_type = 'postgresql_test'
print("导出到测试库中")
else:
CommonUtil.judge_is_work_hours(site_name=site_name, date_type=date_type, date_info=date_info,
principal='chenyuanjie',
priority=2, export_tools_type=1, belonging_to_process=f'新ABA流程_{date_type}')
if date_type in (DateTypes.month.name, DateTypes.week.name,DateTypes.month_week.name):
db_type = 'postgresql_cluster'
print("导出到PG-Cluster库中")
else:
db_type = "postgresql"
print("导出到PG库中")
# 获取数据库连接
engine = DBUtil.get_db_engine(db_type, site_name)
suffix = str(date_info).replace("-", "_")
# 导出表--基准表名
export_base_tb = f"{site_name}_aba_last"
export_base_cols = [
"id",
"search_term",
"rank",
"category_id",
"category_current_id",
"orders",
"bsr_orders",
"search_volume",
"quantity_being_sold",
"st_ao_avg",
"st_ao_val_rate",
"new_bsr_orders_proportion",
"new_asin_proportion",
"page1_title_proportion",
"price_avg",
"total_comments_avg",
"rating_avg",
"weight_avg",
"volume_avg",
"title_length_avg",
"st_num",
"aadd_proportion",
"sp_proportion",
"fbm_proportion",
"cn_proportion",
"amzon_proportion",
"most_proportion",
"max_num",
"asin1",
"asin2",
"asin3",
"click_share1",
"click_share2",
"click_share3",
"total_click_share",
"conversion_share1",
"conversion_share2",
"conversion_share3",
"total_conversion_share",
"new_asin_num",
"total_asin_num",
"new_asin_orders",
"new_asin_bsr_orders",
"is_first_text",
"is_ascending_text",
"is_search_text",
"top3_seller_orders",
"top3_seller_bsr_orders",
"top3_brand_orders",
"top3_brand_bsr_orders",
"page3_brand_num",
"page3_seller_num",
"brand_monopoly",
"seller_monopoly",
"max_num_asin",
"is_self_max_num_asin",
"date_info",
"created_time",
"updated_time",
"gross_profit_fee_air",
"gross_profit_fee_sea",
"multi_color_proportion",
"multi_size_proportion",
"st_word_num",
"st_movie_label",
"st_brand_label",
"st_brand1",
"st_category1",
"st_brand2",
"st_category2",
"st_brand3",
"st_category3",
"st_bsr_cate_1_id_new",
"st_bsr_cate_current_id_new",
"st_crawl_date",
"st_zr_page123_title_appear_rate",
"st_sp_page123_title_appear_rate",
"st_competition_level",
"amazon_monthly_sales",
"st_zr_flow_proportion",
"st_ao_val_matrix",
"st_flow_proportion_matrix",
"lang"
]
if date_type == DateTypes.last30day.name or date_type == DateTypes.month_week.name:
export_tb_target = f"{export_base_tb}_30_day"
export_tb_copy = f"{export_tb_target}_copy"
export_table = export_tb_copy
sql = f"""
create table if not exists {export_tb_copy}
(
like {export_tb_target} including indexes including comments
);
truncate table {export_tb_copy};
"""
# 执行SQL语句
DBUtil.engine_exec_sql(engine, sql)
# 补全动态30天字段
tb_cols = ["color_proportion", "is_new_market_segment", "supply_demand", "market_cycle_type", "is_high_return_text"]
export_cols = export_base_cols + tb_cols
print("导出的字段：", export_cols)
elif date_type in (DateTypes.day.name, DateTypes.week.name, DateTypes.month.name):
# aba基础分区表名
export_table = f"{export_base_tb}_{date_type}_{suffix}"
next_val = CommonUtil.get_next_val(date_type, date_info)
year_str = CommonUtil.safeIndex(date_info.split("-"), 0, None)
if date_type == DateTypes.day.name:
# 特有导出字段
tb_cols = []
# 处理导出表
year_month = CommonUtil.reformat_date(date_info, "%Y-%m-%d", "%Y-%m")
year_month_before = CommonUtil.get_month_offset(year_month, -1).replace("-", "_")
suffix_y_m = year_month.replace("-", "_")
export_master_tb = f"{export_base_tb}_{date_type}_{suffix_y_m}"
export_tb_before = f"{export_base_tb}_{date_type}_{year_month_before}"
elif date_type == DateTypes.week.name:
# week特有导出字段
tb_cols = ["is_new_market_segment", "color_proportion"]
# 处理导出表
export_master_tb = f"{export_base_tb}_{date_type}_{year_str}"
year_month_before = str(int(year_str) - 1)
export_tb_before = f"{export_base_tb}_{date_type}_{year_month_before}"
else:
# month特有导出字段
tb_cols = [
"is_new_market_segment", "color_proportion", "supply_demand", "market_cycle_type", "is_high_return_text",
"st_zr_counts", "st_sp_counts", "st_self_asin_counts", "st_self_asin_proportion"
]
# 处理导出表
export_master_tb = f"{export_base_tb}_{date_type}_{year_str}"
year_month_before = str(int(year_str) - 1)
export_tb_before = f"{export_base_tb}_{date_type}_{year_month_before}"
# 导出字段补全
export_cols = export_base_cols + tb_cols
# sql建表和创建分区
sql = f"""
create table if not exists {export_master_tb}
(
like {export_tb_before} including indexes including comments
)
partition by range (date_info);
create table if not exists {export_table} partition of {export_master_tb} for values from ('{date_info}') to ('{next_val}');
truncate table {export_table};
"""
DBUtil.engine_exec_sql(engine, sql)
else:
print("输入的date_type有误，请检查！！")
quit()
if test_flag == "month_append":
partition_dict = {
"site_name": site_name,
"date_type": "month",
"date_info": date_info
}
else:
partition_dict = {
"site_name": site_name,
"date_type": date_type,
"date_info": date_info
}
# 导出执行sqoop的sh编写
sh = CommonUtil.build_export_sh(
site_name=site_name,
db_type=db_type,
hive_tb="dwt_aba_st_analytics",
export_tb=export_table,
col=export_cols,
partition_dict=partition_dict
)
client = SSHUtil.get_ssh_client()
SSHUtil.exec_command_async(client, sh, ignore_err=False)
client.close()
# 处理流程更新
if date_type in (DateTypes.month_week.name, DateTypes.last30day.name):
DBUtil.exchange_tb(engine,
source_tb_name=export_tb_copy,
target_tb_name=export_tb_target,
cp_index_flag=False)
update_workflow_sql = f"""
replace INTO selection.workflow_everyday
(site_name, report_date, status, status_val, table_name, date_type, page, is_end, remark,export_db_type)
VALUES('{site_name}', '{datetime.now().date()}', '导出PG数据库完成', 14, 'us_aba_last_30_day', '30_day', 'ABA搜索词', '是', 'ABA搜索词最近30天表','{db_type}');
"""
else:
update_workflow_sql = f"""
UPDATE selection.workflow_everyday SET status='导出PG数据库完成', status_val=14,is_end ='是',export_db_type = '{db_type}'
WHERE site_name= '{site_name}' and date_type='{date_type}' and report_date= '{date_info}' and page ='ABA搜索词'
"""
# 往导出流程表插入导出完成数据，方便监听导出脚本是否全部完成
CommonUtil.modify_export_workflow_status(update_workflow_sql, site_name, date_type, date_info)