devamitranjan

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd 
import math

class UpperConfidenceBound:
  def __init__(self,path,  N, m):
    self.__dataset = pd.read_csv(path)
    self.__N = N
    self.__m = m

devamitranjan

import numpy as np 
import matplotlib.pyplot as plt
import pandas as pd 
import random 

class ThompsonSampling:
    def __init__(self,path,N,m):
        self.__N = N 
        self.__m = m 
        self.__machine_selected = [] 

devamitranjan

!apt install chromium-chromedriver
!cp /usr/lib/chromium-browser/chromedriver /usr/bin
!pip install selenium

devamitranjan

def ScrapComments(path):
  authors = []                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           
  try:
    # Configuring the ChromeDriver
    options = webdriver.ChromeOptions()
    options.add_argument('-headless')
    options.add_argument('-no-sandbox')
    options.add_argument('-disable-dev-shm-usage')
    #wd = 

devamitranjan

import time
from selenium import webdriver
from selenium.webdriver import Chrome 
from selenium.webdriver.common.by import By 
from selenium.webdriver.common.keys import Keys 
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

devamitranjan

import re
import pandas as pd
def create_df_author_comments1(data):
  author_comment = []
  author=[]
  for item in data:
    s = re.sub('\\n[0-9]+ (days|weeks|months|years|week|month|year|hours|hour|day|minutes|minute) ago' ,'',item)
    s = re.sub('\\nREPLY','',s)
    s = re.sub('\.\\n[0-9][\.]*[0-9]*[A-Z]*','',s)
    t = s.split('\n')

devamitranjan

import os

import googleapiclient.discovery

def google_api(id):
    # Disable OAuthlib's HTTPS verification when running locally.
    # *DO NOT* leave this option enabled in production.
    os.environ["OAUTHLIB_INSECURE_TRANSPORT"] = "1"

    api_service_name = "youtube"

devamitranjan

import pandas as pd 
def create_df_author_comments():
  authorname = []
  comments = []
  for i in range(len(response["items"])):
    authorname.append(response["items"][i]["snippet"]["topLevelComment"]["snippet"]["authorDisplayName"])
    comments.append(response["items"][i]["snippet"]["topLevelComment"]["snippet"]["textOriginal"])
  df_1 = pd.DataFrame(comments, index = authorname,columns=["Comments"])
  return df_1 
df_1 = create_df_author_comments()

devamitranjan

import json 
with open('response.json') as f:
  response = json.load(f)
f.close()

devamitranjan

import pandas as pd 
def create_df_author_comments(response):
  authorname = []
  comments = []
  for i in range(len(response["items"])):
    authorname.append(response["items"][i]["snippet"]["topLevelComment"]["snippet"]["authorDisplayName"])
    comments.append(response["items"][i]["snippet"]["topLevelComment"]["snippet"]["textOriginal"])
  df_1 = pd.DataFrame(comments, index = authorname,columns=["Comments"])
  return df_1 
df = create_df_author_comments(response)