text: import pandas as pd
  
  # part 1: key(hashtag) search
  try:
      df_key_list = pd.read_csv('../search_settings/key_list.csv')
  except FileNotFoundError:
      print('can not locate "../search_settings/key_list.csv", please check if "key_list.csv" is in the correct directory')
      exit(1)
  
  # VARS TO IMPORT
  keys = df_key_list[df_key_list.columns[0]].tolist()
  since = '2020-06-01'  # starting date of search result to return
  fwr_count = 1000  # follower_count >=, any int
  fav_count = 0  # favorite_count >=, any int
  rt_count = 0  # retweet_count >=, any int
  
  # part 2: account-keyword search
  try:
      df_account_key_list = pd.read_csv('../search_settings/account_key_list.csv')
  except:
      print(
          'can not locate "../search_settings/account_key_list.csv", please check if "account_list_key.csv" is in the correct directory')
      exit(1)
  
  try:
      # VARS TO IMORT
      df_account_list = pd.read_csv('../search_settings/account_list.csv')
  except:
      print(
          'can not locate "./search_settings/account_list.csv", please check if "account_list_csv" is in the correct directory')
      exit(1)
  
  # create account-key pair into a dictionary
  account_list = df_account_list[df_account_list.columns[1]].tolist()
  temp_dict = dict()
  for acc in account_list:
      temp_dict[acc] = df_account_key_list[df_account_key_list.columns[0]].tolist()
  
  # VARS TO IMPORT
  account_key_dict = temp_dict # account-ket pairs
  
  # VARS TO IMPORT, aws S3 details
  master_bucket = ''  # name of output bucket, avoid global bucket name duplication in aws S3
  region = 'us-east-1'  # region of output bucket
  