# -*- coding:UTF-8 -*-
# @Time  : 2020/11/13 11:08
# @File  : daily_search_word_count.py
# @email : litao@igengmei.com
# @author : litao

# coding=utf-8
import hashlib
import time
from pyspark import SparkConf
from pyspark.sql import SparkSession, DataFrame

import pymysql
# from elasticsearch import Elasticsearch
import datetime
# from maintenance.func_send_email_with_file import send_file_email
# import zipfile

# es = Elasticsearch([
#     {
#         'host': '172.16.31.17',
#         'port': 9200,
#     }, {
#         'host': '172.16.31.11',
#         'port': 9200,
#     }])


startTime = time.time()
sparkConf = SparkConf()
sparkConf.set("spark.sql.crossJoin.enabled", True)
sparkConf.set("spark.debug.maxToStringFields", "100")
# sparkConf.set("spark.tispark.plan.allow_index_double_read", False)
# sparkConf.set("spark.tispark.plan.allow_index_read", True)
sparkConf.set("spark.hive.mapred.supports.subdirectories", True)
sparkConf.set("spark.hadoop.mapreduce.input.fileinputformat.input.dir.recursive", True)
sparkConf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
# sparkConf.set("mapreduce.output.fileoutputformat.compress", False)
# sparkConf.set("mapreduce.map.output.compress", False)
sparkConf.set("prod.gold.jdbcuri",
              "jdbc:mysql://172.16.30.136/doris_prod?user=doris&password=o5gbA27hXHHm&rewriteBatchedStatements=true")
sparkConf.set("prod.mimas.jdbcuri",
              "jdbc:mysql://172.16.30.138/mimas_prod?user=mimas&password=GJL3UJe1Ck9ggL6aKnZCq4cRvM&rewriteBatchedStatements=true")
sparkConf.set("prod.gaia.jdbcuri",
              "jdbc:mysql://172.16.30.143/zhengxing?user=work&password=BJQaT9VzDcuPBqkd&rewriteBatchedStatements=true")
sparkConf.set("prod.tidb.jdbcuri",
              "jdbc:mysql://172.16.40.158:4000/eagle?user=st_user&password=aqpuBLYzEV7tML5RPsN1pntUzFy&rewriteBatchedStatements=true")
# sparkConf.set("prod.jerry.jdbcuri",
#               "jdbc:mysql://172.16.40.158:4000/jerry_prod?user=st_user&password=aqpuBLYzEV7tML5RPsN1pntUzFy&rewriteBatchedStatements=true")
# sparkConf.set("prod.tispark.pd.addresses", "172.16.40.158:2379")
# sparkConf.set("prod.tispark.pd.addresses", "172.16.40.170:4000")
# sparkConf.set("prod.tidb.database", "jerry_prod")
sparkConf.setAppName("daily_search_word_count")

spark = (SparkSession.builder.config(conf=sparkConf).enableHiveSupport().getOrCreate())

spark.sql("ADD JAR hdfs:///user/hive/share/lib/udf/brickhouse-0.7.1-SNAPSHOT.jar")
spark.sql("ADD JAR hdfs:///user/hive/share/lib/udf/hive-udf-1.0-SNAPSHOT.jar")
spark.sql("CREATE TEMPORARY FUNCTION json_map AS 'brickhouse.udf.json.JsonMapUDF'")
spark.sql("CREATE TEMPORARY FUNCTION is_json AS 'com.gmei.hive.common.udf.UDFJsonFormatCheck'")
spark.sql("CREATE TEMPORARY FUNCTION arrayMerge AS 'com.gmei.hive.common.udf.UDFArryMerge'")

# print(huidu_device_id_sql)
# huidu_device_id_df = spark.sql(huidu_device_id_sql)
# huidu_device_id_df.createOrReplaceTempView("dev_view")
task_list = []
task_days = 3

for t in range(0, task_days):
    day_num = 0 - t
    now = (datetime.datetime.now() + datetime.timedelta(days=day_num))
    last_30_day_str = (now + datetime.timedelta(days=-30)).strftime("%Y%m%d")
    today_str = now.strftime("%Y%m%d")
    yesterday_str = (now + datetime.timedelta(days=-1)).strftime("%Y%m%d")
    one_week_age_str = (now + datetime.timedelta(days=-7)).strftime("%Y%m%d")
    sql_search_ctr = r"""
    SELECT query,
           partition_date,
           all_search_uv as all_search_uv, --全部搜索uv
           all_search_pv as all_search_pv --全部搜索pv
    FROM (
             --搜索pvuv
             SELECT query
                  , count(click.cl_id)          as all_search_pv
                  , count(distinct click.cl_id) as all_search_uv,
                  partition_date
             FROM (
                      SELECT cl_id,
                             partition_date,
                             action,
                             params['page_name']  as page_name,
                             params['input_type'] as input_type,
                             app_version,
                             params['query']      as query
                      FROM online.bl_hdfs_maidian_updates
                      WHERE partition_date >= '{start_date}'
                        AND partition_date < '{end_date}'
                        AND ((action = 'do_search' AND params['input_type'] <> 'everyone_watch') or
                             action = 'search_result_click_search')
    
                      UNION all
                      SELECT cl_id,
                             partition_date,
                             action,
                             params['page_name']  as page_name,
                             params['input_type'] as input_type,
                             app_version,
                             params['query']      as query
                      FROM online.bl_hdfs_maidian_updates
                      WHERE partition_date >= '{start_date}'
                        AND partition_date < '{end_date}'
                        AND action = 'do_search'
                        and params['input_type'] = 'everyone_watch'
                        and params['tab'] = '精选'
                        and page_name = 'home'
                        AND params['query'] not in ('AI测颜值', 'AI测肤质') --这两个词不跳转搜索结果页
    
                      union all
                      SELECT cl_id,
                             partition_date,
                             action,
                             'search_home'   as page_name,
                             ''              as input_type,
                             app_version,
                             coalesce(params['query'],params['card_name']) as query
                      FROM online.bl_hdfs_maidian_updates
                      WHERE partition_date >= '{start_date}'
                        AND partition_date < '{end_date}'
                        AND action = 'on_click_card'
                        AND params['page_name'] = 'search_home'
    
                      union all
                      SELECT cl_id,
                             partition_date,
                             action,
                             'home'              as page_name,
                             '首页-猜你喜欢'           as input_type,
                             app_version,
                             params['card_name'] as query
                      FROM online.bl_hdfs_maidian_updates
                      WHERE partition_date >= '{start_date}'
                        AND partition_date < '{end_date}'
                        AND action = 'on_click_card'
                        AND params['in_page_pos'] = '猜你喜欢'
                        --AND params['tab_name']='精选'
                        AND params['card_type'] = 'search_word'
                        AND params['card_name'] not in ('AI测颜值', 'AI测肤质') --这两个词不跳转搜索结果页
                        --AND page_name='home' android的page_name为空
    
                      union all
                      SELECT cl_id,
                             partition_date,
                             action,
                             params['page_name'] as page_name,
                             '美购首页-大家都在搜'        as input_type,
                             app_version,
                             params['card_name'] as query
                      FROM online.bl_hdfs_maidian_updates
                      WHERE partition_date >= '{start_date}'
                        AND partition_date < '{end_date}'
                        AND action = 'on_click_card'
                        AND params['page_name'] = 'welfare_home'
                        AND params['card_type'] = 'search_word'
                        AND params['in_page_pos'] = '大家都在搜'
    
                      union all
                      SELECT cl_id,
                             partition_date,
                             action,
                             params['page_name'] as page_name,
                             '高亮词'               as input_type,
                             app_version,
                             params['card_name'] as query
                      FROM online.bl_hdfs_maidian_updates
                      WHERE partition_date >= '{start_date}'
                        AND partition_date < '{end_date}'
                        AND action = 'on_click_card'
                        AND params['card_type'] = 'highlight_word'
                  ) click
             GROUP BY query,partition_date
         ) t3 order by all_search_uv desc
    
    """.format(start_date=yesterday_str, end_date=today_str)

    print(sql_search_ctr)
    search_ctr_df = spark.sql(sql_search_ctr)
    search_ctr_df.show(1)
    sql_res = search_ctr_df.collect()
    tag_names_list_week = []
    for name in sql_res:
        # print(name)
        word = name.query
        nums = name.all_search_pv
        uv = name.all_search_uv
        partition_date = str(now + datetime.timedelta(days=-1))
        tag_names_list_week.append((word, nums, uv,partition_date))

    db = pymysql.connect(host='172.16.50.175', port=3306, user='doris', passwd='o5gbA27hXHHm',
                         db='doris_olap')
    cursor = db.cursor()
    insert_sql = "replace into daily_search_word_count(word, nums, uv,pid,partition_day) VALUES(%s,%s,%s,%s,%s)"
    insert_list = []
    for count, item in enumerate(tag_names_list_week):
        word, nums, uv,partition_date = item
        try:
            if len(word) >= 200:
                continue
            pid = hashlib.md5((partition_date + word).encode("utf8")).hexdigest()
            insert_sql_tuple = (word, nums, uv, pid, partition_date)
            insert_list.append(insert_sql_tuple)
            # print(insert_sql_tuple)
        except:
            continue
        if count % 100 == 0:
            cursor.execute("set names 'UTF8'")
            res = cursor.executemany(insert_sql, insert_list)
            db.commit()
            # print(res)
            insert_list = []
            # print(count)
    res = cursor.executemany(insert_sql, insert_list)
    db.commit()
    db.close()
    print(res)

if __name__ == "__main__":
    tag_names_list = []
    tag_names_list_week = []
    all_data_day = []
    all_data_week = []
