# -*- coding:UTF-8 -*-
# @Time  : 2020/11/26 15:02
# @File  : new_user_project_analysis.py
# @email : litao@igengmei.com
# @author : litao

import hashlib
import json
from meta_base_code.utils.func_get_uesr_event import get_user_event_from_mysql
import pymysql
import xlwt, datetime
import redis
# from pyhive import hive
from maintenance.func_send_email_with_file import send_file_email
from typing import Dict, List
# from elasticsearch_7 import Elasticsearch
# from elasticsearch_7.helpers import scan
from elasticsearch import Elasticsearch
from elasticsearch.helpers import scan
import sys
import time
from pyspark import SparkConf
from pyspark.sql import SparkSession, DataFrame
from meta_base_code.utils.func_from_redis_get_portrait import *
import pandas as pd

# from pyspark.sql.functions import lit
# import pytispark.pytispark as pti


def con_sql(sql):
    # 从数据库的表里获取数据

    # db = pymysql.connect(host='172.16.40.158', port=4000, user='st_user', passwd='aqpuBLYzEV7tML5RPsN1pntUzFy',
    #                      db='jerry_prod')
    db = pymysql.connect(host='172.16.30.136', port=3306, user='doris', passwd='o5gbA27hXHHm',
                         db='doris_prod')
    cursor = db.cursor()
    cursor.execute(sql)
    result = cursor.fetchall()
    db.close()
    return result


exists_es_dic = {}
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("new_user_project_protratit")

spark = (SparkSession.builder.config(conf=sparkConf).config("spark.sql.extensions", "org.apache.spark.sql.TiExtensions")
         .config("spark.tispark.pd.addresses", "172.16.40.170:2379").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'")

task_list = []
tractate_list = []

# res = pd.DataFrame(answer_list)
# res.to_csv("answer_list.csv",encoding="gb18030")
# send_file_email("", '', sender="litao@igengmei.com", email_group=["litao@igengmei.com"], email_msg_body_str="test",
#                 title_str="test", cc_group=["litao@igengmei.com"], file="/srv/apps/meta_base_code/answer_list.csv")
task_days = 3
for t in range(2, 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")
    tomorrow_str = (datetime.datetime.now() + datetime.timedelta(days=day_num + 1)).strftime("%Y%m%d")
    today_timestamp = int(now.timestamp())
    today_str = now.strftime("%Y%m%d")
    today_str_format = now.strftime("%Y-%m-%d")
    yesterday_str = (now + datetime.timedelta(days=-1)).strftime("%Y%m%d")
    yesterday_str_format = (now + datetime.timedelta(days=-1)).strftime("%Y-%m-%d")
    one_week_age_str = (now + datetime.timedelta(days=-7)).strftime("%Y%m%d")
    new_urser_device_id_sql = r"""
    select t2.device_id as device_id from 
    (select device_id from online.ml_device_day_active_status where partition_date = '{today_str}' and active_type in (1,2)
    ) t2
    LEFT JOIN
    (
    select distinct device_id
    from ML.ML_D_CT_DV_DEVICECLEAN_DIMEN_D
    where PARTITION_DAY = '{today_str}'
    AND is_abnormal_device = 'true'
    )dev
    on t2.device_id=dev.device_id
WHERE dev.device_id is null and t2.device_id is not null
    """.format(today_str=today_str, yesterday_str_format=yesterday_str_format, today_str_format=today_str_format,
               tomorrow_str=tomorrow_str)

    print(new_urser_device_id_sql)
    new_urser_device_id_df = spark.sql(new_urser_device_id_sql)
    new_urser_device_id_df.createOrReplaceTempView("device_id_view")
    new_urser_device_id_df.show(1)
    sql_res = new_urser_device_id_df.collect()
    res_dict = {}
    portrait_dict = {
        "first_demands": {},
        "second_demands": {},
        "first_solutions": {},
        "second_solutions": {},
        "first_positions": {},
        "second_positions": {},
        "projects": {},
        'anecdote_tags': {}
    }
    no_portrait_device_id_list = []
    print("-------------------------------")
    count_not_has_portratit = 0

    event_dict = {}
    event_dict_reverse = {}
    for count_user_count, res in enumerate(sql_res):
        # print(count, res)
        temp_count = 0
        try:
            for event_cn,projects in get_user_event_from_mysql(res.device_id,today_timestamp):
                project_list = projects.split(",")
                for project in project_list:
                    if project not in event_dict:
                        event_dict[project] = {}
                    if event_dict[project].get(event_cn):
                        event_dict[project][event_cn] += 1
                    else:
                        event_dict[project][event_cn] = 1

                    if project not in event_dict_reverse:
                        event_dict_reverse[event_cn] = {}
                    if event_dict_reverse[event_cn].get(project):
                        event_dict_reverse[event_cn][project] += 1
                    else:
                        event_dict_reverse[event_cn][project] = 1

        except Exception as e:
            print("error ", e)

        temp_count += 1
        if not temp_count:
            count_not_has_portratit += 1
            no_portrait_device_id_list.append(res.device_id)

    # print(portrait_dict)
    # print(count_user_count + 1, count_not_has_portratit)
    # print("-------------------------------")
    print("event_dict",today_str,event_dict_reverse)
    # for protratit_type in portrait_dict["projects"]:
    #     partition_date = today_str
    #     pid = hashlib.md5((partition_date + protratit_type).encode("utf8")).hexdigest()
    #     action_count = portrait_dict["projects"][protratit_type]
    #     answer_count = answer_dict.get(protratit_type, 0)
    #     tractate_count = tractate_dict.get(protratit_type, 0)
    #     total_count = answer_count + tractate_count
    #
    #     instert_sql = """replace into new_user_project_count(
    #                 partition_day,pid,protratit_count,protratit_type,answer_count,tractate_count,total_count) VALUES('{partition_day}','{pid}',{protratit_count},'{protratit_type}',{answer_count},{tractate_count},{total_count});""".format(
    #         partition_day=today_str, pid=pid, protratit_count=action_count
    #         , protratit_type=protratit_type, answer_count=answer_count, tractate_count=tractate_count,
    #         total_count=total_count
    #     )
    #     print(instert_sql)
        # cursor.execute("set names 'UTF8'")
        # db = pymysql.connect(host='172.16.40.158', port=4000, user='st_user', passwd='aqpuBLYzEV7tML5RPsN1pntUzFy',
        #                      db='jerry_prod')
        # cursor = db.cursor()
        # res = cursor.execute(instert_sql)
        # db.commit()
        # print(res)
