[Global]
kafka_server=xxxxxxxxxxx:9092
kafka_topic=mes
consumer_group=test100
passwd = tracking
port = 3306
host = xxxxxxxxxx
user = track
schema = track
dd_socket =
dd_host = xxxxxxxxxxxx
dd_port = 3306
dd_user = xxxxxxxxx
dd_passwd = xxxxxxxx

#encoding=utf-8
import datetime
import configparser
import re
import pymysql
from vertica_python import connect
import vertica_python
import json
from confluent_kafka import Consumer, KafkaError
import csv
import logging
import os
import time
import signal
import sys

#寫日志
logging.basicConfig(filename=os.path.join(os.getcwd(), 'log_tracking.txt'), level=logging.WARN, filemode='a',format='%(asctime)s - %(levelname)s: %(message)s')

def writeErrorLog(errSrc, errType, errMsg):
 try:
  v_log_file = 'err_tracking.log';
  v_file = open(v_log_file, 'a')
  v_file.write(datetime.datetime.strftime(datetime.datetime.now(),"%Y-%m-%d %H:%M:%S") + " - " + errSrc + " - " + errType +" : " + errMsg + '\n')
  v_file.flush()
 except Exception as data:
  v_err_file = open('err_tracking.log', 'a')
  v_err_file.write(str(data) + '\n')
  v_err_file.write(datetime.datetime.strftime(datetime.datetime.now(), "%Y-%m-%d %H:%M:%S") + " - " + errSrc + " - " + errType + " : " + errMsg + '\n')
  v_err_file.flush()
  v_err_file.close()
 finally:
  v_file.close()

class RH_Consumer:
#讀取配置文件的配置信息，并初始化一些類需要的變量
 def __init__(self):
  self.config = configparser.ConfigParser()
  self.config.read('config.ini')
  self.host = self.config.get('Global', 'host')
  self.user = self.config.get('Global', 'user')
  self.passwd = self.config.get('Global', 'passwd')
  self.schema = self.config.get('Global', 'schema')
  self.port = int(self.config.get('Global', 'port'))
  self.kafka_server = self.config.get('Global', 'kafka_server')
  self.kafka_topic = self.config.get('Global', 'kafka_topic')
  self.consumer_group = self.config.get('Global', 'consumer_group')
  self.dd_host = self.config.get('Global', 'dd_host')
  self.dd_user = self.config.get('Global', 'dd_user')
  self.dd_passwd = self.config.get('Global', 'dd_passwd')
  self.dd_port = int(self.config.get('Global', 'dd_port'))
  self.dd_socket = self.config.get('Global', 'dd_socket')
  self.operation_time = datetime.datetime.now()
  self.stop_flag = 0
  self.src_table_name = []
  self.__init_db()
  self.__init_mes_db()
  self._get_all_src_table()
#連接寫入目標(biāo)數(shù)據(jù)庫
 def __init_db(self):
  try:
   self.conn_info = {'host': self.host,'port': self.port,'user': self.user,'password': self.passwd,'db': 'tracking'}
   self.mysql_db = pymysql.connect(**self.conn_info, charset="utf8" )
   self.mysql_cur = self.mysql_db.cursor()
  except Exception as data:
   writeErrorLog('__init_db', 'Error', str(data))
#連接生產(chǎn)數(shù)據(jù)庫，用于獲取相關(guān)維度信息
 def __init_mes_db(self):
  try:
   self.mes_mysql_db = pymysql.connect(host=self.dd_host, user=self.dd_user, passwd=self.dd_passwd,port=self.dd_port, unix_socket=self.dd_socket, charset="utf8")
   self.mes_mysql_cur = self.mes_mysql_db.cursor()
  except Exception as data:
   writeErrorLog('__init_db', 'Error', str(data))

#關(guān)閉數(shù)據(jù)庫
 def _release_db(self):
   self.mysql_cur.close()
   self.mysql_db.close()
   self.mes_mysql_cur.close()
   self.mes_mysql_db.close()
#獲取所有的配置表信息（需要獲取的表）
 def _get_all_src_table(self):
  try:
   # 獲取table的信息
   select_src_table_names = "select distinct src_table_name from tracking.tracking_table_mapping_rule"
   self.mysql_cur.execute(select_src_table_names)
   rows = self.mysql_cur.fetchall()
   for item in rows:
    self.src_table_name.append(item[0])
   return self.src_table_name
  except Exception as data:
   writeErrorLog('_get_all_src_table', 'Error', str(data))
   logging.error('_get_all_src_table: ' + str(data))
#獲取src表的目標(biāo)表信息
 def _get_tgt_table_name(self,table_name,table_schema):
  try:
   # 獲取table的信息（table_name是schema|tablename）
   select_tgt_table_names = "select distinct tgt_table_name from tracking.tracking_table_mapping_rule where src_table_name = '%s' and src_table_schema = '%s'" %(table_name,table_schema)
   self.mysql_cur.execute(select_tgt_table_names)
   rows = self.mysql_cur.fetchall()
   tgt_table_names=[]
   for item in rows:
    tgt_table_names.append(item[0])
   return tgt_table_names
  except Exception as data:
   writeErrorLog('_get_tgt_table_name', 'Error', str(data))
   logging.error('_get_tgt_table_name: ' + str(data))
# 根據(jù)獲取到輸入的table_name,讀取表的配置信息 會以json格式返回獲取到的數(shù)據(jù)
 def _get_config(self,table_name,tgt_table_name,table_schema):
  try:
   # 獲取table的信息（table_name是schema|tablename）
   select_table_config = "select coalesce( src_system, '' ) as src_system,coalesce ( src_table_schema, '' ) as src_table_schema,coalesce ( src_table_name, '' ) as src_table_name,coalesce ( tgt_operation, '{}' ) as tgt_operation,active_flag,coalesce ( tgt_system, '' ) as tgt_system,coalesce ( tgt_table_schema, '' ) as tgt_table_schema,coalesce ( tgt_table_name, '' ) as tgt_table_name from tracking.tracking_table_mapping_rule where src_table_name = '%s' and tgt_table_name='%s' and src_table_schema = '%s' " %(table_name,tgt_table_name,table_schema)
   self.mysql_cur.execute(select_table_config)
   rows = self.mysql_cur.fetchall()
   for item in rows:
    self.src_system = item[0]
    self.src_table_schema = item[1]
    self.src_table_name = item[2]
    self.tgt_operation = item[3]
    self.active_flag = item[4]
    self.tgt_system = item[5]
    self.tgt_table_schema = item[6]
    self.tgt_table_name = item[7]
   #解析出self.tgt_operation 中以后所需要的數(shù)據(jù)
   self.tgt_operation = eval(self.tgt_operation)
   result_data = {'src_system':self.src_system,
       'src_table_schema':self.src_table_schema,
       'src_table_name':self.src_table_name,
       'tgt_operation':self.tgt_operation,
       'active_flag':self.active_flag,
       'tgt_system': self.tgt_system,
       'tgt_table_schema': self.tgt_table_schema,
       'tgt_table_name': self.tgt_table_name,
       #解析出來的self.tgt_operation里的信息
       'source_primary_key': self.tgt_operation['source_primary_key'],
       'source_all_column': self.tgt_operation['source_all_column'],
       'target_primary_key': self.tgt_operation['target_primary_key'],
       'target_column': self.tgt_operation['target_column'],
       'source_level': self.tgt_operation['source_level'] }
   return result_data
  except Exception as data:
   writeErrorLog('_get_config', 'Error', str(data)+':table is not available')
   logging.error('_get_config: ' + str(data))


#主方法的入口
 def _do(self):
  try:
   #配置consumer的信息，可以配置很多其他信息
   c = Consumer({
    'bootstrap.servers': self.kafka_server,
    'group.id': self.consumer_group,
    'default.topic.config': {
     'auto.offset.reset': 'smallest',
     'enable.auto.commit': False}
   })
   #定義消費kafka中的主題
   c.subscribe([self.kafka_topic])
   while True:
    msg = c.poll(1.0)
    if msg is None:
     continue
    if msg.error():
     if msg.error().code() == KafkaError._PARTITION_EOF:
      continue
     else:
      print(msg.error())
      break
    text = msg.value().decode(encoding="utf-8")
   
   # kfk_text = eval(text)
    kfk_text = json.loads(text)
   #此處判斷kfk數(shù)據(jù)是否在配置表中，如果在則進(jìn)行下一步，如果不在則忽略
    #添加異常處理目的是為了如果這條數(shù)據(jù)寫入有問題，就不commit，方便下次處理還可以繼續(xù)消費
    try:
     kfk_table = kfk_text['table']
     if kfk_table in ['order_mails'] :
      print(type(text),text)
      logging.warning('-------------- start exec table time : ' + str(time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()))+'---------------------')
      kfk_text = str(kfk_text)
      kfk_text = kfk_text.replace(": None",": ''")
      kfk_text = eval(kfk_text)
      kfk_datas = kfk_text['data']
      kfk_type = kfk_text['type']
      kfk_old = kfk_text['old']
      logging.warning(' table_name: '+ str(kfk_table)+ ' table_type : ' + kfk_type)
      if kfk_type == 'UPDATE':
       continue
       print('update')
       for i,data in enumerate(kfk_datas):
        kfk_text['data'] = eval("["+str(data)+"]")
        kfk_text['old'] = eval("[" + str(kfk_old[i]) + "]")
        self._get_rh_from_kafka(kfk_text)
      else:
       print('insert')
       for data in kfk_datas:
        kfk_text['data'] = eval("["+str(data)+"]")
        print(type(kfk_text), kfk_text)
        self._get_rh_from_kafka(kfk_text)
      logging.warning('----------------end exec table time : ' + str(time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()))+'---------------')
     c.commit()
    except Exception as data:
     writeErrorLog('_do', 'exce data Error', str(data))
     logging.error('_do: ' + str(data))
    #如果停止程序
    if self.stop_flag == 1:
     self._exit_consumer()
   c.close()
  except Exception as data:
   print(data)
   writeErrorLog('_do', 'Error', str(data))
   logging.error('_do: ' + str(data))
 def _trans_path(self,tgt_path):
  new_tgt_path=tgt_path.replace('.','\".\"').replace('$\".','$.')+'\"'
  return new_tgt_path


#此方法用來獲取kafka中的數(shù)據(jù)，
 def _get_rh_from_kafka(self,kfk_text):
  try:
   # 解析獲取到的kfk中的數(shù)據(jù)流
   self.kfk_tb_schema = kfk_text["database"]#schema
   self.kfk_tb_name = kfk_text["table"]#table_name
   self.kfk_data = kfk_text['data'][0]#data
   self.kfk_type = kfk_text['type']#數(shù)據(jù)類型type
   self.kfk_es = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(float(kfk_text['es'] / 1000)))#數(shù)據(jù)表更的時間

   # 獲取kfk傳遞過來src表的配置信息，讀取配置表信息-----可能為空 需要添加判斷
   tgt_table_names=self._get_tgt_table_name(self.kfk_tb_name,self.kfk_tb_schema)
   if len(tgt_table_names) != 0:
    for tgt_table_name_for_config in tgt_table_names:
     tb_config = self._get_config(self.kfk_tb_name,tgt_table_name_for_config,self.kfk_tb_schema)
     tgt_pk_key = tb_config['target_primary_key']#目標(biāo)表的主鍵（order_no/order_item_id）
     tgt_schema = tb_config['tgt_table_schema']#目標(biāo)表的schema
     tgt_table_name = tb_config['tgt_table_name']#目標(biāo)表的名稱（目前只有兩個目標(biāo)表tracking_order，tracking_order_item）
     src_table_name = tb_config['src_table_name']#源表的名稱（schema|table_name）
     src_table_schema = tb_config['src_table_schema']
     tgt_columns = tb_config['target_column']#獲取插入到目標(biāo)表中字段的配置信息（例如該表在order_info的插入路徑等配置信息）
     src_level = tb_config['source_level']#源表的level，目前有三種root，leaf，father
     src_pk_key = tb_config['source_primary_key']#源表的主鍵
     src_pk_value = self.kfk_data[src_pk_key]#源表的主鍵值（從kfk中獲取到）
     tgt_operation=tb_config['tgt_operation']#源表的其他配置，在下面處理時候再進(jìn)行解析

  #處理的邏輯是，將表類型分為三類，root，leaf，father分開處理，分別處理其insert，update和delete的操作
     if self.kfk_type == 'INSERT': # 判斷kfk的操作類型是INSERT，UPDATE,DELETE
      if src_level == 'root': # 判斷該數(shù)據(jù)是否是root表
       tgt_pk_value = self.kfk_data[tgt_pk_key]#如果是root表，則獲取目標(biāo)表表的主鍵的值（和src_pk_value的值相同）
       for item in tgt_columns: # item取值范圍：order_info、order_progress等循環(huán)插入列，按照配置分別寫入，因為可能一張表在不同列中插入位置不同
        tgt_column = "{'" + item + "'" + ":" + str(tgt_columns[item]['source_column']) + "}" #拼成如下形式，目的為了_get_data_from_kfk傳入?yún)?shù)，例如{"order_info": ["order_no", "cust_no"]}
        tgt_column = eval(tgt_column) # 將字符串轉(zhuǎn)換成dict類型
        if str(tgt_columns[item]['target_path'])=='{}':
         logging.warning(str(item)+" is null,please check")
        else:
         tgt_path = list(tgt_columns[item]['target_path'].values())[0]#表在配置中，寫入目標(biāo)表的路徑
         (table_insert_data,table_insert_data_for_leaf, insert_data,catalog_type) = self._get_data_from_kfk(kfk_text, tgt_column,src_table_name,tgt_pk_value) #調(diào)用方法，返回三種格式的json，為了不同的寫入方式傳參
         #調(diào)用將kfk中數(shù)據(jù)入庫的方法
         self._insert_data_from_kfk_for_root(tgt_schema, tgt_table_name, tgt_pk_key, tgt_pk_value, item, table_insert_data,tgt_path)#將kfk中主數(shù)據(jù)寫入數(shù)據(jù)庫
         self._insert_father_data(src_table_schema,src_table_name, insert_data, tgt_path, tgt_pk_value, item,catalog_type,tgt_table_name_for_config)#將主數(shù)據(jù)涉及到父表寫入
  #子表insert思路：通過配置表找到上層關(guān)聯(lián)表的鍵值，通過鍵值到數(shù)據(jù)庫中查找到子表屬于的記錄（order_no/order_item_id）的值，從而可以確認(rèn)子表的寫入的絕對路徑（拼上表名稱或者是拼上鍵對應(yīng)值），然后按照路徑寫入，補全父表
      elif src_level == 'leaf': # 判斷kfk的操作類型是INSERT，UPDATE,DELETE
       parent_pk_info=tgt_operation['parent_pk_key']
       for item in tgt_columns: # item取值范圍：order_info、order_progress、order_operation、order_adjudgement
        tgt_column = "{'" + item + "'" + ":" + str(tgt_columns[item]['source_column']) + "}" # #拼成如下形式，目的為了_get_data_from_kfk傳入?yún)?shù)，例如{"order_info": ["order_no", "cust_no"]}
        tgt_column = eval(tgt_column) # 將字符串轉(zhuǎn)換成dict類型
        if str(tgt_columns[item]['target_path'])=='{}':#因為子節(jié)點可能不會每一列都會配置寫入信息（這個是不是不判斷也可以，只要不配置即可，如果判斷，root中也需要判斷嗎？）
         logging.warning(str(item) + " is null,please check")
        else:
         tgt_path = list(tgt_columns[item]['target_path'].keys())[0]#獲取寫入的路徑
         (table_insert_data,table_insert_data_for_leaf, insert_data,catalog_type) = self._get_data_from_kfk(kfk_text, tgt_column,src_table_name,src_pk_value) # #調(diào)用方法，返回三種格式的json，為了不同的寫入方式傳參
         (parent_tgt_path, tgt_pk_value_new) = self._get_tgt_info_for_leaf(item, tgt_path,tgt_schema,tgt_table_name,tgt_pk_key,parent_pk_info,self.kfk_data)#獲取子節(jié)點表的需要寫入的目標(biāo)表的主鍵的值和上一層的寫入真實絕對路徑
         tgt_path_true=parent_tgt_path+"."+src_table_name#獲取子表寫入的絕對路徑（一直到子表的表名的路徑）
         self._insert_data_from_kfk_for_leaf(tgt_schema, tgt_table_name, tgt_pk_key, tgt_pk_value_new, item, table_insert_data_for_leaf,tgt_path_true,src_pk_value,insert_data) # 將從kafka獲取的數(shù)據(jù)入庫
         tgt_path_new=tgt_path_true+r'.\"'+src_pk_value+r'\"'#獲取子表寫入的絕對路徑（一直到子表的主鍵值的路徑）
         self._insert_father_data(src_table_name, insert_data, tgt_path_new, tgt_pk_value_new, item,catalog_type,tgt_table_name_for_config)#遞歸，寫入子表的父表信息
      elif src_level == 'father':#針對父表數(shù)據(jù)在主表和子表數(shù)據(jù)之后產(chǎn)生的情況
       for item in tgt_columns: # item取值范圍：order_info、order_progress、order_operation、order_adjudgement
        tgt_column = "{'" + item + "'" + ":" + str(tgt_columns[item]['source_column']) + "}" # tgt_column例如{"order_info": ["order_no", "cust_no"]}
        tgt_column = eval(tgt_column) # 拼接目標(biāo)列和目標(biāo)列的值的信息
        if str(tgt_columns[item]['target_path']) == '{}':
         logging.warning(str(item) + " is null,please check")
        else:
         tgt_paths = list(tgt_columns[item]['target_path'].values())
         (table_insert_data, table_insert_data_for_leaf,insert_data,catalog_type) = self._get_data_from_kfk(kfk_text, tgt_column, src_table_name, src_pk_value) # 從kafka獲取的需要插入的json串
         if 'product' in src_table_name.lower():
          catalog_type='PRODUCT'
         elif 'service' in src_table_name.lower():
          catalog_type='SERVICE'
         else:
          catalog_type='0'
         for tgt_path in tgt_paths:
          tgt_info_for_father = self._get_tgt_info_for_father(tgt_path, src_pk_key, src_pk_value, tgt_pk_key, tgt_schema,tgt_table_name, item,catalog_type)
          if len(tgt_info_for_father)==0:
           logging.warning('can not available the data of the root and leaf table ')
          else:
           for i in range(len(tgt_info_for_father)):
            tgt_pk_value_new = tgt_info_for_father[i][0]
            tgt_path_new = ('.'.join(tgt_info_for_father[i][1].split('.')[:-1]))[1:]
            self._insert_data_from_db(tgt_schema, tgt_table_name, tgt_pk_key, tgt_pk_value_new,item, tgt_path_new, insert_data)
            self._insert_father_data(src_table_name, insert_data, tgt_path_new,tgt_pk_value_new, item, catalog_type,tgt_table_name_for_config)

     elif self.kfk_type == 'UPDATE':#update處理方式
  #主表update思路 ：找到更新的記錄，將需要更新的字段按照配置的路徑更新（主表的路徑不存在多層），再補全父表，寫入歷史紀(jì)錄
      if src_level == 'root': # 判斷是否是root表
       tgt_pk_value = self.kfk_data[tgt_pk_key]##如果是root表，則獲取目標(biāo)表表的主鍵的值（和src_pk_value的值相同）
       for item in tgt_columns: # item取值范圍：order_info、order_progress、order_operation、order_adjudgement
        tgt_column = "{'" + item + "'" + ":" + str(tgt_columns[item]['source_column']) + "}" # tgt_column例如{"order_info": ["order_no", "cust_no"]}
        tgt_column = eval(tgt_column) # 拼接目標(biāo)列和目標(biāo)列的值的信息
        if str(tgt_columns[item]['target_path'])=='{}':
         logging.warning(str(item) + " is null,please check")
        else:
         update_columns = kfk_text['old'][0]#獲取kfk中變更信息
         tgt_path = list(tgt_columns[item]['target_path'].values())[0]
         (table_insert_data,table_insert_data_for_leaf, insert_data,catalog_type) = self._get_data_from_kfk(kfk_text, tgt_column, src_table_name,tgt_pk_value)
         self._update_data(tgt_schema, tgt_table_name, tgt_pk_key, src_table_name,update_columns, insert_data, tgt_path, tgt_pk_value, item,catalog_type,tgt_table_name_for_config,src_table_schema)#更新數(shù)據(jù)
         #將變更歷史寫入
         if 'alter_column' in list(tgt_columns[item].keys()):
          record_history_column = tgt_columns[item]['alter_column']
          self._insert_history_data(update_columns,insert_data,tgt_path,record_history_column,self.kfk_es,item,tgt_schema,tgt_table_name,tgt_pk_key,tgt_pk_value)
         else:
          logging.warning(str(item) + " alter_column is not available")
  #子表update思路：通過配置表找到上層關(guān)聯(lián)表的鍵值，通過鍵值到數(shù)據(jù)庫中查找到子表屬于的記錄（order_no/order_item_id）的值，從而可以確認(rèn)子表的寫入的絕對路徑（拼上表名稱或者是拼上鍵對應(yīng)值），然后按照路徑更新對飲的字段，補全父表
      elif src_level == 'leaf': ## 判斷是否是root表
       parent_pk_info=tgt_operation['parent_pk_key']
       for item in tgt_columns: # item取值范圍：order_info、order_progress、order_operation、order_adjudgement
        tgt_column = "{'" + item + "'" + ":" + str(tgt_columns[item]['source_column']) + "}" # tgt_column例如{"order_info": ["order_no", "cust_no"]}
        tgt_column = eval(tgt_column) # 拼接目標(biāo)列和目標(biāo)列的值的信息
        if str(tgt_columns[item]['target_path'])=='{}':
         logging.warning(str(item) + " is null,please check")
        else:
         update_columns = kfk_text['old'][0] # 獲取到變更信息
         tgt_path = list(tgt_columns[item]['target_path'].keys())[0]
         (table_insert_data,table_insert_data_for_leaf, insert_data,catalog_type) = self._get_data_from_kfk(kfk_text, tgt_column,src_table_name,src_pk_value) # 從kafka獲取的需要插入的json串
         (parent_tgt_path, tgt_pk_value_new) = self._get_tgt_info_for_leaf(item, tgt_path,tgt_schema,tgt_table_name,tgt_pk_key,parent_pk_info,self.kfk_data) # 獲取子表上一層主鍵路徑
         tgt_path_true=parent_tgt_path+"."+src_table_name##獲取子表寫入的絕對路徑（一直到子表的表名的路徑）
         tgt_path_new=tgt_path_true+r'.\"'+src_pk_value+r'\"'#獲取子表寫入的絕對路徑（一直到子表的主鍵值）
         self._update_data(tgt_schema, tgt_table_name, tgt_pk_key, src_table_name,update_columns, insert_data, tgt_path_new, tgt_pk_value_new, item,catalog_type,tgt_table_name_for_config,src_table_schema)
         if 'alter_column' in list(tgt_columns[item].keys()):
          record_history_column = tgt_columns[item]['alter_column']
          self._insert_history_data(update_columns, insert_data, tgt_path_new,record_history_column, self.kfk_es, item, tgt_schema,tgt_table_name, tgt_pk_key, tgt_pk_value_new)
         else:
          logging.warning(str(item) + " alter_column is not available")
  #父表更新的思路：從配置表獲取所有目標(biāo)路徑，循環(huán)每一個路徑，通過模糊匹配找到所有的目標(biāo)主鍵值及準(zhǔn)確路徑，然后一條條更新，并將涉及的下一級信息補全
      elif src_level == 'father': # 判斷該數(shù)據(jù)是否是kfk入庫信息如果不是就pass
       for item in tgt_columns: # item取值范圍：order_info、order_progress、order_operation、order_adjudgement
        tgt_column = "{'" + item + "'" + ":" + str(tgt_columns[item]['source_column']) + "}" # tgt_column例如{"order_info": ["order_no", "cust_no"]}
        tgt_column = eval(tgt_column) # 拼接目標(biāo)列和目標(biāo)列的值的信息
        if str(tgt_columns[item]['target_path']) == '{}':
         logging.warning(str(item) + " is null,please check")
        else:
         update_columns = kfk_text['old'][0] # 獲取到變更信息
         tgt_paths = list(tgt_columns[item]['target_path'].values())
         (table_insert_data, table_insert_data_for_leaf,insert_data,catalog_type) = self._get_data_from_kfk(kfk_text, tgt_column, src_table_name, src_pk_value) # 從kafka獲取的需要插入的json串
         if 'product' in src_table_name.lower():
          catalog_type='PRODUCT'
         elif 'service' in src_table_name.lower():
          catalog_type='SERVICE'
         else:
          catalog_type='0'
         for tgt_path in tgt_paths:
          tgt_info_for_father = self._get_tgt_info_for_father(tgt_path, src_pk_key, src_pk_value, tgt_pk_key, tgt_schema,tgt_table_name, item,catalog_type)
          for i in range(len(tgt_info_for_father)):
           tgt_pk_value_new = tgt_info_for_father[i][0]
           tgt_path_new = ('.'.join(tgt_info_for_father[i][1].split('.')[:-1]))[1:]
           self._update_data(tgt_schema, tgt_table_name, tgt_pk_key, src_table_name,update_columns, insert_data, tgt_path_new,tgt_pk_value_new, item,catalog_type,tgt_table_name_for_config,src_table_schema)
     #刪除操作思路：root表直接刪除所有的記錄，leaf刪除按照路徑刪除目標(biāo)，再加上判斷如果子節(jié)點中沒有數(shù)據(jù)，將對應(yīng)的表名的字段刪除
     elif self.kfk_type == 'DELETE':
      if src_level == 'root':
       tgt_pk_value = self.kfk_data[tgt_pk_key]
       self._delete_data_for_root(tgt_pk_key,tgt_pk_value,tgt_schema,tgt_table_name)
      elif src_level == 'leaf': #
       parent_pk_info = tgt_operation['parent_pk_key']
       for item in tgt_columns: # item取值范圍：order_info、order_progress、order_operation、order_adjudgement
        tgt_column = "{'" + item + "'" + ":" + str(tgt_columns[item]['source_column']) + "}" # tgt_column例如{"order_info": ["order_no", "cust_no"]}
        tgt_column = eval(tgt_column) # 拼接目標(biāo)列和目標(biāo)列的值的信息
        if str(tgt_columns[item]['target_path'])=='{}':
         logging.warning(str(item) + " is null,please check")
        else:
         tgt_path = list(tgt_columns[item]['target_path'].keys())[0]
         (parent_tgt_path, tgt_pk_value_new) = self._get_tgt_info_for_leaf(item, tgt_path,tgt_schema,tgt_table_name,tgt_pk_key,parent_pk_info,self.kfk_data)#獲取子表上一層主鍵路徑
         tgt_path_true=parent_tgt_path+"."+src_table_name#獲取子表上一層表的路徑
         tgt_path_new=tgt_path_true+r'.\"'+src_pk_value+r'\"'
         self._delete_data_for_leaf(tgt_schema, tgt_table_name, item, tgt_path_new, tgt_pk_key,tgt_pk_value_new,tgt_path_true)
  except Exception as data:
   writeErrorLog('_get_rh_from_kafka', 'Error', str(data))
   logging.error('_get_rh_from_kafka: ' + str(data))

 def _get_tgt_info_for_father(self,tgt_path,src_pk_key,src_pk_value,tgt_pk_key,tgt_schema,tgt_table_name,tgt_column,catalog_type):
  try:
   tgt_path_true = tgt_path + "." + src_pk_key
   if catalog_type=='0':
    select_sql_for_father="select "+tgt_pk_key+",json_search("+tgt_column+",\'all\',\'"+src_pk_value+"\',null,\'"+tgt_path_true+"\') from "+tgt_schema+"."+tgt_table_name+" where json_extract(json_extract("+tgt_column+",\'"+tgt_path_true+"\'),\'$[0]\')=\'"+src_pk_value+"\';"
   else:
    select_sql_for_father = "select " + tgt_pk_key + ",json_search(" + tgt_column + ",\'all\',\'" + src_pk_value + "\',null,\'" + tgt_path_true + "\') from " + tgt_schema + "." + tgt_table_name + " where json_extract(json_extract(" + tgt_column + ",\'" + tgt_path_true + "\'),\'$[0]\')=\'" + src_pk_value + "\' and json_extract(" + tgt_column + ",\'$." +tgt_table_name+".type=\'"+catalog_type+"\';"
   self.mysql_cur.execute(select_sql_for_father)
   tgt_info_for_father=self.mysql_cur.fetchall()
   return tgt_info_for_father
  except Exception as data:
   writeErrorLog('_get_tgt_info_for_father', 'Error', str(data))
   logging.error('_get_tgt_info_for_father: ' + str(data))


 def _delete_data_for_root(self,tgt_pk_key,tgt_pk_value,tgt_schema,tgt_table_name):
  try:
   delete_sql="delete from "+tgt_schema+"."+tgt_table_name+" where "+tgt_pk_key+"=\'"+str(tgt_pk_value)+"\';"
   self.mysql_cur.execute(delete_sql)
   self.mysql_db.commit()
  except Exception as data:
   writeErrorLog('_delete_data_for_root', 'Error', str(data))
   logging.error('_delete_data_for_root: ' + str(data))

 def _delete_data_for_leaf(self,tgt_schema,tgt_table_name,tgt_column,tgt_path,tgt_pk_key,tgt_pk_value,tgt_path_true):
  try:
   delete_sql="update "+tgt_schema+"."+tgt_table_name+" set "+tgt_column+"=json_remove("+tgt_column+",\'"+tgt_path+"\') where "+tgt_pk_key+"=\'"+str(tgt_pk_value)+"\';"
   self.mysql_cur.execute(delete_sql)
   self.mysql_db.commit()
   select_sql="select json_extract("+tgt_column+",\'"+tgt_path_true+"\') from "+tgt_schema+"."+tgt_table_name+" where "+tgt_pk_key+"=\'"+str(tgt_pk_value)+"\';"
   self.mysql_cur.execute(select_sql)
   tgt_column_value=self.mysql_cur.fetchall()[0][0]
   if tgt_column_value==r'{}':
    table_delete_sql = "update " + tgt_schema + "." + tgt_table_name + " set " + tgt_column + "=json_remove(" + tgt_column + ",\'" + tgt_path_true + "\') where " + tgt_pk_key + "=\'" + str(tgt_pk_value) + "\';"
    self.mysql_cur.execute(table_delete_sql)
    self.mysql_db.commit()
  except Exception as data:
   writeErrorLog('_delete_data_for_leaf', 'Error', str(data))
   logging.error('_delete_data_for_leaf: ' + str(data))

 def _insert_history_data(self,update_columns,insert_data,tgt_path,record_history_column,data_time,tgt_column,tgt_schema,tgt_table_name,tgt_pk_key,tgt_pk_value):
  try:
   update_columns_key=list(update_columns.keys())
   for item in record_history_column:
    if item in update_columns_key:
     tgt_path_for_column = tgt_path + '.alter_data.' + item
     tgt_path_for_alter = tgt_path + '.alter_data'
     select_sql_for_alter_column_path = 'select json_extract(' + tgt_column + ',\'' + tgt_path_for_column + '\')' + ' from ' + tgt_schema + '.' + tgt_table_name + ' where ' + tgt_pk_key + '=\'' + str(tgt_pk_value) + '\';'
     select_sql_for_alter_path = 'select json_extract(' + tgt_column + ',\'' + tgt_path_for_alter + '\')' + ' from ' + tgt_schema + '.' + tgt_table_name + ' where ' + tgt_pk_key + '=\'' + str(tgt_pk_value) + '\';'
     self.mysql_cur.execute(select_sql_for_alter_column_path)
     tgt_path_vlaue_for_column = self.mysql_cur.fetchall()
     self.mysql_cur.execute(select_sql_for_alter_path)
     tgt_path_vlaue_for_alter = self.mysql_cur.fetchall()
     old_data = update_columns[item]
     new_data = eval(insert_data)[item]
     if tgt_path_vlaue_for_alter[0][0]==None:
      history_data = '{\"' + item + '\":[{\"old_data\":\"' + str(old_data) + '\",\"new_data\":\"' + str(new_data) + '\",\"time\":\"' + data_time + '\"}]}'
      insert_sql = "update "+tgt_schema + "." + tgt_table_name + " set " + tgt_column +"=json_insert("+tgt_column+",\'"+tgt_path_for_alter+"\',cast(\'"+history_data+"\' as json)) where " + tgt_pk_key + "= '" + str(tgt_pk_value) + "';"
     else:
      if tgt_path_vlaue_for_column[0][0]==None:
       history_data='[{\"old_data\":\"'+str(old_data)+'\",\"new_data\":\"'+str(new_data)+'\",\"time\":\"'+data_time+'\"}]'
       insert_sql = "update " + tgt_schema + "." + tgt_table_name + " set " + tgt_column + "=json_insert(" + tgt_column + ",\'" + tgt_path_for_column + "\',cast(\'" + history_data + "\' as json)) where " + tgt_pk_key + "= '" + str(tgt_pk_value) + "';"
      else:
       history_data='{\"old_data\":\"'+str(old_data)+'\",\"new_data\":\"'+str(new_data)+'\",\"time\":\"'+data_time+'\"}'
       insert_sql = "update " + tgt_schema + "." + tgt_table_name + " set " + tgt_column + "=json_array_append(" + tgt_column + ",\'" + tgt_path_for_column + "\',cast(\'" + history_data + "\' as json)) where " + tgt_pk_key + "= '" + str(tgt_pk_value) + "';"
    self.mysql_cur.execute(insert_sql)
    self.mysql_db.commit()
  except Exception as data:
   writeErrorLog('_insert_history_data', 'Error', str(data))
   logging.error('_insert_history_data: ' + str(data))

#將kfk中的數(shù)據(jù)，進(jìn)行轉(zhuǎn)換，轉(zhuǎn)換成不同的寫入方式需要的json格式
 def _get_data_from_kfk(self, text, tgt_column,src_table_name,src_table_pk_value):
  try:
   tgt_column_json = tgt_column #傳入的目標(biāo)表的列名稱
   tgt_column_key = ''
   for key in tgt_column_json:#循環(huán)tgt_column中的key值
    json_column_key = '{'
    for item in tgt_column_json[key]:
     json_column_key += '"' + item + '":"' + text['data'][0][item].replace('"',r'\\"') + '",'
     tgt_column_item = json_column_key[:-1]
    tgt_column_key += tgt_column_item + '},'
    if 'type' in text['data'][0]:
     catalog_type=text['data'][0]['type']
    else:
     catalog_type='0'
   table_insert_data = '{\"' + src_table_name + '\":' + tgt_column_key[:-1] + '}'#拼接成如下帶有表名和主鍵值格式{"order":{"order_no":"100"}}
   insert_data = tgt_column_key[:-1]#拼接成如下不帶表名和不帶主鍵值的格式{"order_no":"100"}
   table_insert_data_for_leaf = '{\"' + src_table_pk_value + '\":'+insert_data+'}'#拼接成如下帶有主鍵值格式的{"100":{"order_no":"100"}}
   print(insert_data)
   return (table_insert_data, table_insert_data_for_leaf,insert_data,catalog_type)#返回數(shù)據(jù)
  except Exception as data:
   writeErrorLog('_get_data_from_kfk', 'Error', str(data))
   logging.error('_get_data_from_kfk: ' + str(data))


 def _insert_data_from_kfk_for_root(self,tgt_schema,tgt_table_name,tgt_table_pk,tgt_table_value,tgt_column,table_insert_data,tgt_path):
  try:
   #先判斷主鍵是否存在，如果存在則插入其他數(shù)據(jù)，如果不存在，則先插入主鍵信息
   select_tb_count = 'select count(*) from ' + tgt_schema +"."+tgt_table_name + ' where ' + tgt_table_pk + '=\'' + tgt_table_value + '\';'
   #判斷列中是否存在數(shù)據(jù)
   select_tb_column_count ='select case when coalesce(' + tgt_column + ', \'\') = \'\' then 1 else 0 end from ' + tgt_schema +"."+tgt_table_name + ' where ' + tgt_table_pk + '=\'' + tgt_table_value + '\';'
   self.mysql_cur.execute(select_tb_count)
   tb_count = self.mysql_cur.fetchall()
   self.mysql_cur.execute(select_tb_column_count)
   tb_column_count = self.mysql_cur.fetchall()
   #判斷是否存在數(shù)據(jù)，如果不存在，則先插入主鍵（order_no/order_item_id）再將數(shù)據(jù)寫入到列中
   if tb_count[0][0] == 0:
    insert_pk_sql = "insert into " + tgt_schema+"."+tgt_table_name + "(" + tgt_table_pk + ") values ('" + tgt_table_value + "')"
    self.mysql_cur.execute(insert_pk_sql)
    self.mysql_db.commit()
    update_sql = "update " + tgt_schema + "." + tgt_table_name + " set " + tgt_column + "= cast('" + table_insert_data +"' as json) where " + tgt_table_pk + "= '"+ tgt_table_value + "';"
   else:
    #如果主鍵存在，列為空，則需要 直接 寫入帶有table_name格式的json
    if tb_column_count[0][0]==1:#當(dāng)目標(biāo)字段為空
     update_sql = "update " + tgt_schema + "." + tgt_table_name + " set " + tgt_column + "= cast('" + table_insert_data + "' as json) where " + tgt_table_pk + "= '" + tgt_table_value + "';"
    else:
     #如果主鍵存在，列不為空，則需要使用json_insert方法寫入帶有table_name格式的json
     update_sql = "update " + tgt_schema + "." + tgt_table_name + " set " + tgt_column + "=json_insert(" + tgt_column + ",\'" + tgt_path + "\',cast(\'" + table_insert_data + "\' as json)) where " + tgt_table_pk + "=\'" + tgt_table_value + "\';"
   self.mysql_cur.execute(update_sql)
   self.mysql_db.commit()
  except Exception as data:
   writeErrorLog('_insert_data_from_kfk_for_root', 'Error', str(data))
   logging.error('_insert_data_from_kfk_for_root: ' + str(data))

 def _get_tgt_pk_value_for_leaf(self,tgt_table_pk,tgt_schema,tgt_table_name,tgt_column,tgt_path,parent_pk_value):
  try:
   select_tgt_pk_sql = "select " + tgt_table_pk + " from " + tgt_schema + "." + tgt_table_name + " where json_extract(" + tgt_column + ",\'" + tgt_path + "\')=\'" + parent_pk_value + "\';"
   self.mysql_cur.execute(select_tgt_pk_sql)
   tgt_pk_value = self.mysql_cur.fetchall()[0][0]
   return tgt_pk_value
  except Exception as data:
   writeErrorLog('_get_tgt_pk_value_for_leaf', 'Error', str(data))
   logging.error('_get_tgt_pk_value_for_leaf: ' + str(data))

#獲取子節(jié)點表的需要寫入的目標(biāo)表的主鍵的值和上一層的寫入真實絕對路徑
 def _get_tgt_info_for_leaf(self,tgt_column,tgt_path,tgt_schema,tgt_table_name,tgt_pk_key,parent_pk_info,kafka_data):
  try:
   if_tgt_path='.'.join(tgt_path.split('.')[:-1])
   i=0
   json_search_sql=''
   where_sql=''
   if if_tgt_path=='$':
    for parent_pk_key in list(parent_pk_info.keys()):
     parent_pk_value = kafka_data[parent_pk_info[parent_pk_key]]
     json_search_sql += ",json_search(" + tgt_column + ", 'one','" + str(parent_pk_value) + "', null, '" + tgt_path + "." + parent_pk_key + "') as tgt_path" + str(i)
     where_sql += " tgt_path" + str(i) + " is not null and"
     i = i + 1
   else:
    for parent_pk_key in list(parent_pk_info.keys()):
     parent_pk_value = kafka_data[parent_pk_info[parent_pk_key]]
     json_search_sql += ",json_search(" + tgt_column + ", 'one','" + str(parent_pk_value) + "', null, '" + tgt_path + ".*." + parent_pk_key + "') as tgt_path" + str(i)
     where_sql += " tgt_path" + str(i) + " is not null and"
     i = i + 1
   select_sql = "select "+tgt_pk_key+",tgt_path0 from (select "+tgt_pk_key+json_search_sql+" from " + tgt_schema + "." + tgt_table_name +") t where "+where_sql[:-4]+";"
   self.mysql_cur.execute(select_sql)
   rows=self.mysql_cur.fetchall()[0]
   tgt_path_new = ('.'.join(rows[1].split('.')[:-1]))[1:]
   tgt_pk_value_new=rows[0]
   return (tgt_path_new,tgt_pk_value_new)
  except Exception as data:
   writeErrorLog('_get_tgt_info_for_leaf', 'Error', str(data))
   logging.error('_get_tgt_info_for_leaf: ' + str(data))

 def _insert_data_from_kfk_for_leaf(self,tgt_schema,tgt_table_name,tgt_table_pk,tgt_table_value,tgt_column,table_insert_data_for_leaf,tgt_path,src_pk_value,insert_data):
  try:
   select_tb_column_key = 'select case when coalesce(json_extract(' + tgt_column + ',\'' + tgt_path + '\') , \'\') = \'\' then 1 else 0 end from ' + tgt_schema + "." + tgt_table_name + ' where ' + tgt_table_pk + '=\'' + str(tgt_table_value) + '\';'
   self.mysql_cur.execute(select_tb_column_key)
   column_key_data = self.mysql_cur.fetchall()
   if column_key_data[0][0] == 1:# 當(dāng)主鍵存在并且目標(biāo)字段不為空路徑不存在，
    tgt_path_new = tgt_path
    tgt_insert_data=table_insert_data_for_leaf
   else:
    tgt_path_new=tgt_path+r'.\"'+str(src_pk_value)+r'\"'
    tgt_insert_data=insert_data
   update_sql = "update " + tgt_schema + "." + tgt_table_name + " set " + tgt_column + "=json_insert(" + tgt_column + ",\'" + tgt_path_new + "\',cast(\'" + tgt_insert_data + "\' as json)) where " + tgt_table_pk + "=\'" + str(tgt_table_value) + "\';"
   self.mysql_cur.execute(update_sql)
   self.mysql_db.commit()
  except Exception as data:
   writeErrorLog('_insert_data_from_kfk_for_leaf', 'Error', str(data))
   logging.error('_insert_data_from_kfk_for_leaf: ' + str(data))

#將父表數(shù)據(jù)寫入（父表數(shù)據(jù)從生產(chǎn)庫中獲取，按照對應(yīng)的配置路徑寫入數(shù)據(jù)庫中）
 def _insert_father_data(self,src_table_schema,scr_table_name,insert_data,src_path,root_pk_value,tgt_column,catalog_type,tgt_table_name_for_config):
  try:
   src_config_data=self._get_config(scr_table_name,tgt_table_name_for_config,src_table_schema)#獲取初始表的配置信息（此處獲取是為了遞歸時候傳入下一層的表名，獲取對應(yīng)的配置信息）
   src_foreign_info=src_config_data['target_column'][tgt_column]['source_foreign_info']#從數(shù)據(jù)庫配置表中獲取source_foreign_info的信息，也就是外鍵的信息，包括外鍵，外鍵的表，以及外鍵表中的主鍵名稱
   if len(json.dumps(src_foreign_info))==2:#當(dāng)沒有外鍵的時候，配置表只存在‘{}'長度為2，就不需要向下遞歸執(zhí)行，對應(yīng)的source_foreign_info=[]，長度為2
    logging.warning(scr_table_name+" :Recursive over")
   else:
    for src_pk_key in src_foreign_info:#獲取當(dāng)前表與下層父表的關(guān)聯(lián)鍵（例如customer表的配置獲取到org_id，"source_foreign_info": {"org_id": {"customer.organization": "org_id"}}）
     foreign_table_name_tmp=list(src_foreign_info[src_pk_key].keys())[0] #獲取外鍵對應(yīng)的表名foreign_table_name（organization），（每次傳入的key對應(yīng)一個外鍵表，只存在一個列，order_info，所以取第一個元素即可）
     foreign_table_schema=foreign_table_name_tmp.split('.')[0]
     foreign_table_name_tmp=foreign_table_name_tmp.split('.')[1]
     if '#' in foreign_table_name_tmp:
      foreign_table_name = foreign_table_name_tmp.replace('#', catalog_type).lower()
     else:
      foreign_table_name = foreign_table_name_tmp
     foreign_table_pk_key=list(src_foreign_info[src_pk_key].values())[0]#獲取外鍵對應(yīng)的表的關(guān)聯(lián)鍵foreign_table_key，即org_id
     foreign_datas = self._get_config(foreign_table_name,tgt_table_name_for_config,foreign_table_schema)#獲取外鍵表的配置信息，以便下面獲取配置表的信息
     foreign_column = foreign_datas['target_column'][tgt_column]#獲取要插入的目標(biāo)表列是order_info/order_progress)（organization寫入目標(biāo)表的列的配置信息）
     foreign_schema = foreign_datas['src_table_schema']#獲取表的schema（organization的原始src schema）
     foreign_table_pk_value = eval(str(insert_data))[src_pk_key] # 獲取外鍵對應(yīng)的value（即organization在kfk數(shù)據(jù)中對應(yīng)的值）
     #獲取外鍵對應(yīng)表的配置信息(寫入數(shù)據(jù)庫需要用)
     tgt_schema=foreign_datas['tgt_table_schema']
     tgt_table_name=foreign_datas['tgt_table_name']
     tgt_pk_key=foreign_datas['target_primary_key']
     tgt_pk_value=root_pk_value#目標(biāo)表主鍵的值
     #獲取數(shù)據(jù)，并在其中獲取后，寫入數(shù)據(jù)庫（此處部分參數(shù)是為了給insert服務(wù)）
     for foreign_path in foreign_column['target_path']:
      src_tgt_path=list(foreign_path.keys())[0]
      foreign_tgt_path = list(foreign_path.values())[0]
      if re.sub('.\"\S*?\"',r'*',src_path) ==src_tgt_path and re.sub('.\"\S*?\"',r'*',src_path)+'.'+src_pk_key==foreign_tgt_path:
       next_src_path=src_path+'.'+src_pk_key
       next_insert_data=self._get_data_from_db(foreign_column,foreign_table_name,foreign_schema,foreign_table_pk_key,foreign_table_pk_value,tgt_schema,tgt_table_name,tgt_pk_key,tgt_pk_value,src_path,tgt_column,next_src_path)
       self._insert_father_data(foreign_table_schema,foreign_table_name,next_insert_data,next_src_path,root_pk_value,tgt_column,catalog_type,tgt_table_name_for_config)
      else:
       logging.warning(foreign_table_name + ' :have no next level')
  except Exception as data:
   writeErrorLog('_insert_father_data', 'Error', str(data))
   logging.error('_insert_father_data: ' + str(data))


#從數(shù)據(jù)庫中獲取數(shù)據(jù)，并將獲取到的數(shù)據(jù)，直接插入數(shù)據(jù)庫中，返回遞歸需要使用的數(shù)據(jù)
 def _get_data_from_db(self,src_tgt_column,src_table_name,src_table_schema,src_table_pk_key,src_table_pk_value,tgt_schema,tgt_table_name,tgt_pk_key,tgt_pk_value,src_path,tgt_column,tgt_path):
  try:
   result_data = '{'
   src_column=src_tgt_column['source_column']#讀取需要獲取的字段
   if len(src_column)==0:
    logging(str(src_column)+ ' length equal 0 error ')
   else:
    for item in src_column:#拼接好sql語句，獲取數(shù)據(jù)
     select_sql1 = 'concat(\''
     select_sql1 += u'"' + item + '":"\',coalesce(' + item + ',\'\'),\'",'
     select_sql1 = select_sql1[:-1] + '\')'
     select_sql = "select " + select_sql1 + " from " + src_table_schema + "." + src_table_name + " where " + src_table_pk_key + "=\'" + src_table_pk_value + "\';"
     #使用execute方法執(zhí)行SQL語句
     self.mes_mysql_cur.execute(select_sql)
     # 使用 fetchone() 方法獲取一條數(shù)據(jù)
     data = self.mes_mysql_cur.fetchall()
     if len(data) == 0:
      result_data += ''
     else:
      result_data+=data[0][0]+','
    if result_data != '{':
     tgt_value=result_data[:-1] + '}'
    else:
     tgt_value = result_data+'\"'+src_table_pk_key+'\":\"'+src_table_pk_value+'\"}'
    self._insert_data_from_db(tgt_schema, tgt_table_name, tgt_pk_key, tgt_pk_value, tgt_column,tgt_path, tgt_value) # 將獲取到的父表數(shù)據(jù)寫入數(shù)據(jù)庫
   return tgt_value#返回寫入的數(shù)據(jù)，和真是的寫入路徑（因為路徑在配置表中層數(shù)多的是用*代替的，不是真正的絕對路徑，這里返回的是絕對路徑）
  except Exception as data:
   writeErrorLog('_get_data_from_db', 'Error', str(data))
   logging.error('_get_data_from_db: ' + str(data))
#將父表寫入數(shù)據(jù)庫
 def _insert_data_from_db(self,tgt_schema,tgt_table_name,tgt_pk_key,tgt_pk_value,tgt_column,tgt_path,tgt_value):
  try:
   insert_sql="update "+ tgt_schema+"."+tgt_table_name +" set "+ tgt_column+"=json_replace("+tgt_column+",\'"+tgt_path+"\',cast(\'"+tgt_value+"\' as json)) where "+tgt_pk_key+"=\'"+str(tgt_pk_value)+"\';"
   # self.mysql_cur.execute(insert_sql.encode("utf-8").decode("latin1"))
   self.mysql_cur.execute(insert_sql)
   self.mysql_db.commit()
  except Exception as data:
   writeErrorLog('_insert_data_from_db', 'Error', str(data))
   logging.error('_insert_data_from_db: ' + str(data))

 # 當(dāng)變更數(shù)據(jù)為外鍵時，補全外鍵對應(yīng)的信息
 def _update_data(self, tgt_schema, tgt_table_name, tgt_pk_key, src_table_name, update_columns,insert_data, src_path, root_pk_value, tgt_column,catalog_type,tgt_table_name_for_config,src_table_schema):
  try:
   # 判斷是否涉及外鍵信息，判斷變更的字段是否在外鍵信息里，將在的組成新的外鍵json，在調(diào)用_get_data_from_db進(jìn)行更新數(shù)據(jù)
   insert_data = json.loads(insert_data)
   for update_column in update_columns:#
    if update_column in list(insert_data.keys()):
     update_column_data = '\"' + insert_data[update_column] + '\"'
     tgt_path = src_path + '.' + update_column
     self._insert_data_from_db(tgt_schema, tgt_table_name, tgt_pk_key, root_pk_value,tgt_column, tgt_path, update_column_data)
   self._insert_father_data(src_table_schema,src_table_name, insert_data, src_path, root_pk_value, tgt_column,catalog_type,tgt_table_name_for_config)
  except Exception as data:
   writeErrorLog('_update_data', 'Error', str(data))
   logging.error('_update_data: ' + str(data))

#退出消費消息
 def _exit_consumer(self):
  self._release_db()
  sys.exit()

def exit_program(signum, frame):
 logging.info("Received Signal: %s at frame: %s" % (signum, frame))
 p.stop_flag = 1

def main():
 #實例化對象
 p = RH_Consumer()
 signal.signal(signal.SIGTERM, exit_program)
 # while True:
 p._do()
main()