import requests
url="https://www.acfun.cn/rest/pc-direct/new-danmaku/poll"
headers={
  "user-agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.193 Safari/537.36",
  "cookie":""
  #注意，cookie要填你自己的。A站有些特殊，爬取的時候需要加上cookie。
  }
data={
  "videoId":"15779946",
  "lastFetchTime":"0",
  "enableAdvanced":"true"
  }
html=requests.post(url,headers=headers,data=data)
html=html.json()
html=html["added"]
for i in html:
  print(i["body"])

import requests
from bs4 import BeautifulSoup
import lxml

aid=input("請輸入av號：如果是bv碼請轉(zhuǎn)換為av號\n")
file_name=input("請輸入保存文件名：\n")
f=open(file_name,"a",encoding='utf-8')
headers={
  "user-agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.193 Safari/537.36"
  }
get_cid="https://www.bilibili.com/widget/getPageList?aid="+aid
cid_list=eval(requests.get(get_cid).text)
for cid in cid_list:
  cid=cid["cid"]
  xml="https://comment.bilibili.com/"+str(cid)+".xml"
  html=requests.get(xml,headers=headers)
  html.encoding=html.apparent_encoding
  soup=BeautifulSoup(html.text,"xml").find_all("d")
  for dm in soup:
    f.write(dm.text+"\n")
f.close()

import jieba.analyse
f =open(r'bilibil周年慶.txt',encoding='utf-8')#打開文件
text=f.read() #讀取文件
text_list=jieba.analyse.extract_tags(text,topK=40)#進行jieba分詞，并且取頻率出現(xiàn)最高的40個詞
text_list="，".join(text_list)#用空格將這些字符串連接起來
print(text_list)

import re
import requests
import json

# 將text按照lenth長度分為不同的幾段
def cut_text(text, lenth):
  textArr = re.findall('.{' + str(lenth) + '}', text)
  textArr.append(text[(len(textArr) * lenth):])
  return textArr # 返回多段值

def get_emotion(access_token,data): # 情感分析
  # 定義百度API情感分析的token值和URL值
  token = access_token 
  url = 'https://aip.baidubce.com/rpc/2.0/nlp/v1/sentiment_classify?charset=UTF-8&access_token={}'.format(token)

  # 百度情感分析API的上限是2048字節(jié)，因此判斷文章字節(jié)數(shù)小于2048，則直接調(diào)用
  if (len(data.encode()) < 2048):
    new_each = {
      'text': data # 將文本數(shù)據(jù)保存在變量new_each中，data的數(shù)據(jù)類型為string
    }
    new_each = json.dumps(new_each)
    res = requests.post(url, data=new_each) # 利用URL請求百度情感分析API
    # print("content: ", res.content)
    res_text = res.text # 保存分析得到的結(jié)果，以string格式保存
    result = res_text.find('items') # 查找得到的結(jié)果中是否有items這一項
    positive = 1
    if (result != -1): # 如果結(jié)果不等于-1，則說明存在items這一項
      json_data = json.loads(res.text)
      negative = (json_data['items'][0]['negative_prob']) # 得到消極指數(shù)值
      positive = (json_data['items'][0]['positive_prob']) # 得到積極指數(shù)值
      print("positive:",positive)
      print("negative:",negative)
      # print(positive)
      if (positive > negative): # 如果積極大于消極，則返回2
        return 2
      elif (positive == negative): # 如果消極等于積極，則返回1
        return 1
      else:
        return 0 # 否則，返回0
    else:
      return 1
  else:
    data = cut_text(data, 1500) # 如果文章字節(jié)長度大于1500，則切分
    # print(data)
    sum_positive = 0.0 # 定義積極指數(shù)值總合
    sum_negative = 0.0 # 定義消極指數(shù)值總和
    for each in data: # 遍歷每一段文字
      # print(each)
      new_each = {
        'text': each # 將文本數(shù)據(jù)保存在變量new_each中
      }
      new_each = json.dumps(new_each)
      res = requests.post(url, data=new_each) # 利用URL請求百度情感分析API
      # print("content: ", res.content)
      res_text = res.text # 保存分析得到的結(jié)果，以string格式保存
      result = res_text.find('items') # 查找得到的結(jié)果中是否有items這一項
      if (result != -1):
        json_data = json.loads(res.text) # 如果結(jié)果不等于-1，則說明存在items這一項
        positive = (json_data['items'][0]['positive_prob']) # 得到積極指數(shù)值
        negative = (json_data['items'][0]['negative_prob']) # 得到消極指數(shù)值
        sum_positive = sum_positive + positive # 積極指數(shù)值加和
        sum_negative = sum_negative + negative # 消極指數(shù)值加和
        # print(positive)
    print(sum_positive)
    print(sum_negative)
    if (sum_positive > sum_negative): # 如果積極大于消極，則返回2
      return 2
    elif (sum_positive == sum_negative): # 如果消極等于于積極，則返回1
      return 1
    else:
      return 0 # 否則，返回0

def main():
  # client_id 為官網(wǎng)獲取的API Key， client_secret 為官網(wǎng)獲取的Secret Key
  #這兩個我都空出來了，你用你的填上就行了。
  client_id=""
  client_secret=""
  host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id='+client_id+'&client_secret='+client_secret
  response = requests.get(host)
  list_new=eval(response.text)
  access_token=list_new["access_token"]
  txt1 = "你好優(yōu)秀"
  txt2 = "難過！"
  print("txt1測試結(jié)果：",get_emotion(access_token,txt1))
  print("txt2測試結(jié)果：",get_emotion(access_token,txt2))

if __name__ == "__main__":
  main()