$ mv ~/Downloads/api-project-249965614499-33c4f9f41469.json .

pip install google-api-python-client google-auth-httplib2 google-auth-oauthlib
pip install oauth2client
pip install google-cloud
pip install argparse

from googleapiclient import discovery
from google.oauth2 import service_account
import json
import os

DOCUMENT_ID='1FCGcY00_8_DK8edLP1ws5NQamdmB6agCZpfXXXXXXXXXXXXX'

SCOPES = [
#    'https://www.googleapis.com/auth/drive',
    'https://www.googleapis.com/auth/documents.readonly'
]
# DISCOVERY_DOC = 'https://docs.googleapis.com/$discovery/rest?version=v1'
DISCOVERY_DOC = 'https://docs.googleapis.com/$discovery/rest?version=v1'

SERVICE_ACCOUNT_FILE = 'api-project-249965614499-33c4f9f41469.json'
credentials = service_account.Credentials.from_service_account_file(
        SERVICE_ACCOUNT_FILE, scopes=SCOPES)

service = discovery.build('docs', 'v1', discoveryServiceUrl=DISCOVERY_DOC, credentials=credentials)

# Do a document "get" request and print the results as formatted JSON
f = open("dic.json", "w")
result = service.documents().get(documentId=DOCUMENT_ID).execute()
jsonStr = json.dumps(result, indent=4, sort_keys=True)
f.write(jsonStr)
f.close()

print("dic.json has been created")

{
    "body": {
        "content": [
            {
                "endIndex": 1,
                "sectionBreak": {
                    "sectionStyle": {
                        "columnSeparatorStyle": "NONE",
                        "contentDirection": "LEFT_TO_RIGHT",
                        "sectionType": "CONTINUOUS"
                    }
                }
            },
            {
                "endIndex": 38,
                "paragraph": {
                    "elements": [
                        {
                            "endIndex": 38,
                            "startIndex": 1,
                            "textRun": {
                                "content": "Google Cloud TTS to read Google Docs\n",
                                "textStyle": {}
                            }
                        }
                    ],
                    "paragraphStyle": {
                        "direction": "LEFT_TO_RIGHT",
                        "headingId": "h.swe0qm2wob2",
                        "namedStyleType": "TITLE"
                    }
                },
                "startIndex": 1
            },
...
            {
                "endIndex": 42,
                "paragraph": {
                    "elements": [
                        {
                            "endIndex": 42,
                            "startIndex": 39,
                            "textRun": {
                                "content": "\ucc38\uace0\n",
                                "textStyle": {}
                            }
                        }
                    ],
                    "paragraphStyle": {
                        "direction": "LEFT_TO_RIGHT",
                        "headingId": "h.1o1ly2f6sob",
                        "namedStyleType": "HEADING_2"
                    }
                },
                "startIndex": 39
            },

...

service = discovery.build('docs', 'v1', discoveryServiceUrl=DISCOVERY_DOC, credentials=credentials)

result = service.documents().get(documentId=DOCUMENT_ID).execute()

for sentence in result['body']['content']:
if 'paragraph' in sentence and 'textRun' in sentence['paragraph']['elements'][0]:
print(sentence['endIndex'])
# print("**************************************************************************")
# print(json.dumps(sentence['paragraph'], indent=4, sort_keys=True))
text = sentence['paragraph']['elements'][0]['textRun']['content']
style = sentence['paragraph']['paragraphStyle']['namedStyleType']
print(style, text)

...

for sentence in result['body']['content']:
if 'paragraph' in sentence and 'textRun' in sentence['paragraph']['elements'][0]:
print(sentence['endIndex'])
# print("**************************************************************************")
# print(json.dumps(sentence['paragraph'], indent=4, sort_keys=True))
text = sentence['paragraph']['elements'][0]['textRun']['content']
style = sentence['paragraph']['paragraphStyle']['namedStyleType']
print(style, text)
elif 'table' in sentence:
print(sentence['endIndex'])
for tableRow in sentence['table']['tableRows']:
for tableCell in tableRow['tableCells']:
text = ''
for tableContents in tableCell['content']:
print(tableContents['endIndex'])
for tableSentence in tableContents['paragraph']['elements']:
text = text + tableSentence['textRun']['content']
text = text + '\u000b'
for line in text.split('\u000b'):
print('[TABLE]', line)

컬럼1

컬럼2

컬럼3

로우2-1

로우2-2

로우2-3

로구3-1

로우3-2

로우3-3

문장인 경우에는 어떻게 하는 지 궁금합니다. 이어진 문장.

떨어진 문장.

from flask import Flask, request, Response
from googleapiclient import discovery
from google.oauth2 import service_account
import json
import os

app = Flask(__name__)

@app.route("/<docid>")
def hello(docid):
styles = {
'TITLE': '<h1>%s%s</h1>',
'HEADING_1': '<h2>%s%s</h2>',
'HEADING_2': '<h3>%s%s</h3>',
'HEADING_3': '<h4>%s%s</h4>',
'NORMAL_TEXT': '<p>%s%s</p>'
}

DOCUMENT_ID=docid

SCOPES = [
#    'https://www.googleapis.com/auth/drive',
'https://www.googleapis.com/auth/documents.readonly'
]
# DISCOVERY_DOC = 'https://docs.googleapis.com/$discovery/rest?version=v1'
DISCOVERY_DOC = 'https://docs.googleapis.com/$discovery/rest?version=v1'

SERVICE_ACCOUNT_FILE = 'api-project-249965614499-33c4f9f41469.json'
credentials = service_account.Credentials.from_service_account_file(
SERVICE_ACCOUNT_FILE, scopes=SCOPES)

service = discovery.build('docs', 'v1', discoveryServiceUrl=DISCOVERY_DOC, credentials=credentials)

result = service.documents().get(documentId=DOCUMENT_ID).execute()

f = open("dic.json", "w")
jsonStr = json.dumps(result, indent=4, sort_keys=True)
f.write(jsonStr)
f.close()

html = ''
for sentence in result['body']['content']:
if 'paragraph' in sentence and 'textRun' in sentence['paragraph']['elements'][0]:
print(sentence['endIndex'])
# print("**************************************************************************")
# print(json.dumps(sentence['paragraph'], indent=4, sort_keys=True))
bullet = ''
if 'bullet' in sentence['paragraph']:
bullet = '&#8226;'
text = ''
for t in sentence['paragraph']['elements']:
text = text + t['textRun']['content']
style = sentence['paragraph']['paragraphStyle']['namedStyleType']
print(style, text)
html = html + (styles[style] % (bullet, text)) + "\n"
elif 'table' in sentence:
print(sentence['endIndex'])
html = html + "<table border='1'>\n"
for tableRow in sentence['table']['tableRows']:
html = html + "<tr>\n"
for tableCell in tableRow['tableCells']:
html = html + "<td>\n"
text = ''
for tableContents in tableCell['content']:
print(tableContents['endIndex'])
for tableSentence in tableContents['paragraph']['elements']:
text = text + tableSentence['textRun']['content']
text = text + '\u000b'
for line in text.split('\u000b'):
print('[TABLE]', line)
html = html + ("<p>%s</p>\n" % (line))
html = html + "</td>\n"
html = html + "</tr>\n"
return html, 200

if __name__ == "__main__":
app.run(host='0.0.0.0', port=5001, debug=False)

styles = {
'TITLE': '<div class="jerry_tts"><h1>%s%s</h1></div>',
'HEADING_1': '<div class="jerry_tts"><h2>%s%s</h2></div>',
'HEADING_2': '<div class="jerry_tts"><h3>%s%s</h3></div>',
'HEADING_3': '<div class="jerry_tts"><h4>%s%s</h4></div>',
'NORMAL_TEXT': '<div class="jerry_tts"><p>%s%s</p></div>'
}

$ pip install google-cloud-texttospeech

@app.route("/speak/<encoding>")
def speak(encoding):
text = request.args.get('text', '')

# Instantiates a client
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = SERVICE_ACCOUNT_FILE
client = texttospeech.TextToSpeechClient()

# Set the text input to be synthesized
synthesis_input = texttospeech.SynthesisInput(text=text)

# Build the voice request, select the language code ("en-US") and the ssml
# voice gender ("neutral")
voice = texttospeech.VoiceSelectionParams(
language_code=encoding, ssml_gender=texttospeech.SsmlVoiceGender.NEUTRAL
)

# Select the type of audio file you want returned
audio_config = texttospeech.AudioConfig(
audio_encoding=texttospeech.AudioEncoding.MP3
)

# Perform the text-to-speech request on the text input with the selected
# voice parameters and audio file type
response = client.synthesize_speech(
input=synthesis_input, voice=voice, audio_config=audio_config
)

# The response's audio_content is binary.
with open("output.mp3", "wb") as out:
# Write the response to the output file.
out.write(response.audio_content)

return Response(response=response.audio_content, mimetype='audio/mp3')

scripts = '''
<script>
idx = -1;
lastIdx = -1;
var audio = null;

window.onload = function() {
document.addEventListener('keydown', keyEvent);
setTimeout(forward, 200);
}

function play() {
sentences = document.querySelectorAll(".jerry_tts");
sentence = sentences[idx];
if(sentence.nodeName == "DIV" && sentence.textContent) {
if(lastIdx >= 0) {
sentences[lastIdx].style.backgroundColor='transparent';
}
sentence.style.backgroundColor='yellow';
lastIdx = idx;
sentence.scrollIntoView(true);
window.scrollTo(0, window.scrollY - 100);
encoding = document.querySelector("body > select:nth-child(1)").value
speed = document.querySelector("body > select:nth-child(2)").value
if(audio) {
audio.pause();
}
audio = new Audio("/speak/" + encoding + "?text=" + sentence.textContent);
audio.load();
audio.playbackRate = speed;
audio.play()
.then(() => {
// Playing
})
.catch(error => {
console.log("empty voice");
setTimeout(forward, 100);
});
audio.addEventListener('ended', forward);
}
}

function forward() {
sentences = document.querySelectorAll(".jerry_tts");
if(idx - 1 < sentences.length) {
idx++;
}

play();
}

function backward() {
if(idx > 0) {
idx--;
}

play();
}

function pause() {
if(audio) {
if(audio.paused) {
audio.play();
}
else {
audio.pause();
}
}
}

function keyEvent(e) {
    e = e || window.event;
if(e.ctrlKey && e.key == '.') {
forward();
}
else if(e.ctrlKey && e.key == ',') {
backward();
}
else if(e.ctrlKey && e.key == '/') {
pause();
}
}
</script>
'''

  html = '<html>\n'
  html = html + scripts
  html = html + '''
      <body>
      <select name='encoidng' onChange='play()'>
          <option value='en-US'>en-US</option>
          <option value='ko-KR'>ko-KR</option>
      </select>
      <select name='speed' onChange='play()'>
          <option value='2'>2배</option>
          <option value='1.5'>1.5배</option>
          <option value='1.3'>1.3배</option>
          <option value='1.2'>1.2배</option>
          <option value='1.1'>1.1배</option>
          <option value='1' selected='selected'>1배</option>
          <option value='0.9'>0.9배</option>
          <option value='0.8'>0.8배</option>
          <option value='0.7'>0.7배</option>
          <option value='0.5'>0.5배</option>
      </select>
      <input type='button' value='Pause/Resume' onClick='pause()'>
      <div class='jerry_tts_body'>
  '''

$ cat Dockerfile
FROM python:3.7-slim

# Copy local code to the container image.
ENV APP_HOME /app
WORKDIR $APP_HOME
COPY . ./

# Install production dependencies.
RUN pip install Flask gunicorn
RUN pip install google-api-python-client google-auth-httplib2 google-auth-oauthlib
RUN pip install oauth2client
RUN pip install google-cloud
RUN pip install google-cloud-texttospeech
RUN pip install argparse

EXPOSE 5001

# Run the web service on container startup. Here we use the gunicorn
# webserver, with one worker process and 8 threads.
# For environments with multiple CPU cores, increase the number of workers
# to be equal to the cores available.
CMD exec gunicorn --bind :5001 --workers 1 --threads 8 --timeout 0 tts-read-google-docs5:app

$ cat 02.test_local.sh
if [ "$1" == "build" ];
then

mkdir -p build
cd build
cp ../tts-read-google-docs5.py .
cp ../api-project-249965614499-33c4f9f41469.json .
cp ../Dockerfile .
docker build -t "google-docs-tts" .

fi

docker run --name jerry -d -p 5001:5001 google-docs-tts

sleep 1
docker logs -f jerry &

sleep 1
echo Enter to stop...
read a

docker stop jerry
docker rm jerry

$ cat 01.build.sh
mkdir -p build
cd build
cp ../tts-read-google-docs5.py .
cp ../api-project-249965614499-33c4f9f41469.json .
cp ../Dockerfile .
cp ../favicon.ico .
gcloud builds submit --project api-project-249965614499 --tag gcr.io/api-project-249965614499/google-docs-tts

$ cat 03.deploy.sh
gcloud run deploy --project api-project-249965614499 --image gcr.io/api-project-249965614499/google-docs-tts --platform managed --region asia-northeast1 --port 5001 --allow-unauthenticated google-docs-tts

$ ssh-host-config
Generating /etc/ssh_host_key
Generating /etc/ssh_host_rsa_key
Generating /etc/ssh_host_dsa_key
Generating /etc/ssh_config file
Privilege separation is set to yes by default since OpenSSH 3.3.
However, this requires a non-privileged account called 'sshd'.
For more info on privilege separation read /usr/share/doc/openssh/README.privsep.

Should privilege separation be used? (yes/no) yes
Warning: The following function requires administrator privileges!
Should this script create a local user 'sshd' on this machine? (yes/no) yes
Generating /etc/sshd_config file
Added ssh to C:WINDOWSsystem32driversetcservices


Warning: The following functions require administrator privileges!

Do you want to install sshd as service?
(Say "no" if it's already installed as service) (yes/no) yes

Which value should the environment variable CYGWIN have when
sshd starts? It's recommended to set at least "ntsec" to be
able to change user context without password.
Default is "ntsec". CYGWIN=ntsec

The service has been installed under LocalSystem account.
To start the service, call `net start sshd' or `cygrunsrv -S sshd'.

Host configuration finished. Have fun!

# Remove sshd service
cygrunsrv --stop sshd
cygrunsrv --remove sshd

# Delete any sshd or related users (such as cyg_server) from /etc/passwd
#   (use your favorite editor)

# Delete any sshd or related users (such as cyg_server) from the system
net user sshd /delete
net user cyg_server /delete

import os
from flask import redirect
from flask import Flask
from flask import request
from apiclient import discovery
from oauth2client import client
import urllib.parse


app = Flask(__name__)

@app.route('/<id>', defaults={'param': None})
@app.route('/<id>/<param>')
def keyword_routing(id, param):

    os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = 'api-project-249965614499-2749b23186fb.json'

    credentials = client.GoogleCredentials.get_application_default()
    discoveryUrl = ('https://sheets.googleapis.com/$discovery/rest?version=v4')
    service = discovery.build('sheets', 'v4', credentials=credentials,
    discoveryServiceUrl=discoveryUrl)

    spreadsheetId = '<Google Sheets 문서 ID>'
    rangeName = 'Sheet1!A3:B200'

    result = service.spreadsheets().values().get(spreadsheetId=spreadsheetId, range=rangeName).execute()
    values = result.get('values', [])

    links = {}
    for entry in values:
        for x in entry[0].split(','):
            links[x.strip()] = entry[1]

    print(links)
   
    if id in links:
        if param is None:
          return redirect(links[id])
        else:
          return redirect(links[id] % (urllib.parse.quote(param)))
    else:
        return redirect(links['list'])

if __name__ == "__main__":
    app.run(debug=True,host='0.0.0.0',port=int(os.environ.get('PORT', 8080)))

    os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = 'api-project-249965614499-2749b23186fb.json'

    credentials = client.GoogleCredentials.get_application_default()
    discoveryUrl = ('https://sheets.googleapis.com/$discovery/rest?version=v4')
    service = discovery.build('sheets', 'v4', credentials=credentials,
    discoveryServiceUrl=discoveryUrl)

    spreadsheetId = '<Google Sheets 문서 ID>'
    rangeName = 'Sheet1!A3:B200'

    result = service.spreadsheets().values().get(spreadsheetId=spreadsheetId, range=rangeName).execute()
    values = result.get('values', [])

[userid@hostname cloudrun]$ ls -lR
.:
total 16
-rwxr-xr-x. 1 userid gke-69fccc16664a9606b68f  75 May  3  2020 01.build.sh
-rwxr-xr-x. 1 userid gke-69fccc16664a9606b68f 375 May  3  2020 02.test_local.sh
-rwxr-xr-x. 1 userid gke-69fccc16664a9606b68f 121 May  3  2020 03.deploy.sh
-rw-rw-r--. 1 userid gke-69fccc16664a9606b68f 386 Oct 18 09:08 README.md
drwxrwxr-x. 2 userid gke-69fccc16664a9606b68f 111 Jan 21 17:52 src

./src:
total 12
-rw-r--r--. 1 userid gke-69fccc16664a9606b68f 2345 May  3  2020 api-project-249965614499-2749b23186fb.json
-rw-rw-r--. 1 userid gke-69fccc16664a9606b68f  607 May  3  2020 Dockerfile
-rw-rw-r--. 1 userid gke-69fccc16664a9606b68f 1406 Jan 21 17:39 hello.py

$ cat 01.build.sh
cd src
gcloud builds submit --tag gcr.io/api-project-249965/cloudrun

$ cat 03.deploy.sh
gcloud run deploy --image gcr.io/api-project-249965/cloudrun --platform managed --region asia-northeast1 cloudrun

$ ./03.deploy.sh
Deploying container to Cloud Run service [cloudrun] in project [api-project-249965] region [asia-northeast1]
✓ Deploying... Done.
  ✓ Creating Revision...
  ✓ Routing traffic...
Done.
Service [cloudrun] revision [cloudrun-00012-jam] has been deployed and is serving 100 percent of traffic at https://cloudrun-n3tlhzi66a-an.a.run.app

document.querySelector("#page_area > div > button.btn.btn_prev._prev_page_btn")

document.addEventListener('keydown', function(e) {
    e = e || window.event;
    if(e.ctrlKey && e.key == '[') {
        document.querySelector("#page_area > div > button.btn.btn_prev._prev_page_btn").click();
    }
    else if(e.ctrlKey && e.key == ']') {
        document.querySelector("#page_area > div > button.btn.btn_next._next_page_btn").click();
    }
});

pip install virtualenv

cd C:\Program Files\Python37\Scripts
copy con virtualenv.cmd
@echo off
python -m venv %*
^Z     (입력이 아니라 Ctrl+Z를 누르라는 의미)

cd selenium
virtualenv .
Scripts\activate.bat

(selenium) C:\Users\javalove93\selenium>

pip install selenium

import selenium
from selenium import webdriver
from selenium.webdriver import ActionChains

from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By

from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import Select
from selenium.webdriver.support.ui import WebDriverWait

URL = 'https://www.naver.com'

driver = webdriver.Chrome(executable_path='chromedriver')
driver.get(url=URL)

python selenium_test.py

from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.common.keys import Keys
import pyperclip
import time


#클립보드에 input을 복사한 뒤
#해당 내용을 actionChain을 이용해 로그인 폼에 붙여넣기
def copy_input(xpath, input):
    pyperclip.copy(input)
    driver.find_element_by_xpath(xpath).click()
    ActionChains(driver).key_down(Keys.CONTROL).send_keys('v').key_up(Keys.CONTROL).perform()
    time.sleep(1)


id = '<ID>'
pw = '<PWD>'

driver = webdriver.Chrome(executable_path='chromedriver')
driver.implicitly_wait(3)

driver.get('https://nid.naver.com/nidlogin.login?mode=form&url=https%3A%2F%2Fwww.naver.com')

copy_input('//*[@id="id"]', id)
time.sleep(1)
copy_input('//*[@id="pw"]', pw)
time.sleep(1)
driver.find_element_by_xpath('//*[@id="frmNIDLogin"]/fieldset/input').click()

# 옵션 생성
options = webdriver.ChromeOptions()
# 창 숨기는 옵션 추가
options.add_argument("headless")

driver = webdriver.Chrome(executable_path='chromedriver', options = options)

time.sleep(2)
driver.get('https://learn.dict.naver.com/wordbook/enkodict/#/my/main')

time.sleep(1)
driver.find_element_by_xpath('//*[@id="content"]/div[1]/ul/li[1]/span').click()

list = driver.find_element_by_xpath('//*[@id="main_folder"]/ul')
folders = list.find_elements_by_xpath('li')
num_of_folders = len(folders)
for i in range(num_of_folders):
list = driver.find_element_by_xpath('//*[@id="main_folder"]/ul')
folder = list.find_element_by_xpath('li[%d]/a' % (i+1))
title = folder.find_element_by_xpath('div/span[2]').text
print("=============================================================")
print("제목 %s" % (title))
folder.click()
time.sleep(1)

if len(driver.find_elements_by_xpath('//*[@id="btn_more_folder"]')) > 0:
driver.find_element_by_xpath('//*[@id="btn_more_folder"]').click()
time.sleep(1)

# 단어장 이름
list = driver.find_element_by_xpath('//*[@id="main_folder"]/ul')
f = list.find_element_by_xpath('//span[contains(text(), "A01")]')
print(f.text)

# 단어장 클릭
f.find_element_by_xpath('../..').click()
time.sleep(2)

from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.common.keys import Keys
import pyperclip
import time


#클립보드에 input을 복사한 뒤
#해당 내용을 actionChain을 이용해 로그인 폼에 붙여넣기
def copy_input(xpath, input):
    pyperclip.copy(input)
    driver.find_element_by_xpath(xpath).click()
    ActionChains(driver).key_down(Keys.CONTROL).send_keys('v').key_up(Keys.CONTROL).perform()
    time.sleep(1)


id = '<ID>'
pw = '<PWD>'

driver = webdriver.Chrome(executable_path='chromedriver')
driver.implicitly_wait(3)

driver.get('https://nid.naver.com/nidlogin.login?mode=form&url=https%3A%2F%2Fwww.naver.com')

copy_input('//*[@id="id"]', id)
time.sleep(1)
copy_input('//*[@id="pw"]', pw)
time.sleep(1)
driver.find_element_by_xpath('//*[@id="frmNIDLogin"]/fieldset/input').click()
time.sleep(2)

# 사전으로 이동
driver.get('https://learn.dict.naver.com/wordbook/enkodict/#/my/main')
time.sleep(2)

# 전체 보기 버튼 클릭
if len(driver.find_elements_by_xpath('//*[@id="btn_more_folder"]')) > 0:
driver.find_element_by_xpath('//*[@id="btn_more_folder"]').click()
time.sleep(1)

f = open('naver_dict.txt', 'w', encoding='utf8')

# 단어장 이름 배열 작성
list = driver.find_element_by_xpath('//*[@id="main_folder"]/ul')
folders = list.find_elements_by_xpath('li/a/div/span[2]')
titles = []
for t in folders:
titles.append(t.text)

for i in range(0, len(folders)):
# 단어장 제목 출력
title = titles[i]
print("\n\n\n=============================================================")
f.write("\n\n\n=============================================================\n")
print('%d 번째 단어장' % (i))
f.write('%d 번째 단어장\n' % (i))
print("제목 %s\n\n" % (title))
f.write("제목 %s\n\n\n" % (title))

# 특정 단어장 클릭
list = driver.find_element_by_xpath('//*[@id="main_folder"]/ul')
folder = list.find_element_by_xpath('//span[contains(text(), "%s")]' % (title))
folder.find_element_by_xpath('../..').click()
time.sleep(1)

# 각 단어장에서
while True:
time.sleep(1)
if len(driver.find_elements_by_xpath('//*[@id="page_area"]/div/div/span[1]')) == 0:
break
current_page = driver.find_element_by_xpath('//*[@id="page_area"]/div/div/span[1]')
total_page = driver.find_element_by_xpath('//*[@id="page_area"]/div/div/span[3]')
print('\n%s 페이지' % (current_page.text))
f.write('\n%s 페이지\n' % (current_page.text))
print('**********\n')
f.write('**********\n\n')

words = driver.find_elements_by_class_name('card_word')
for w in words:
word = w.find_element_by_xpath('div[1]/div[1]/div/div/a').text
# word = word.replace('·', '').replace('|', '').replace('\u21c4', '').replace('\u30fb', '').replace('\xe1', 'a').replace('\xe0', 'a').replace('\xe9', 'e')
word = word.replace('·', '').replace('|', '').replace('\u21c4', '').replace('\u30fb', '')
print(word)
f.write(word + '\n')

mean = w.find_elements_by_class_name('list_mean')
for m in mean:
mtext = m.text
print(mtext)
f.write(mtext + '\n')
print('------------------------------------------')
f.write('------------------------------------------\n')

f.flush()

if int(current_page.text) >= int(total_page.text):
break
else:
driver.find_element_by_xpath('//*[@id="page_area"]/div/button[2]').click()

# 전체 단어장으로 돌아가기
driver.find_element_by_xpath('//*[@id="title"]').click()
time.sleep(1)

# 전체 보기 버튼 클릭
if len(driver.find_elements_by_xpath('//*[@id="btn_more_folder"]')) > 0:
driver.find_element_by_xpath('//*[@id="btn_more_folder"]').click()
time.sleep(1)

f.close()
driver.close()