Make func

@@ -34,8 +34,8 @@ def TextPreprocess(text):
 
 def GetData():
     login_info = {
-        'userID' : 'qdw0313',
-        'userpw' : 'fejUfrQxHWwtcGcP0'
+        'userID' : '**********',
+        'userpw' : '**********'
     }
 
     options = webdriver.ChromeOptions()
@@ -101,23 +101,15 @@ def GetData():
             sleeptime()
 
             if not (post_df['title'] == title).any():
-                # Click('//*[@id="container"]/div[2]/article[{}]'.format(idx))
                 content = TextPreprocess(content)
                 post_df = post_df.append(pd.DataFrame([[title, content]],
                                                       columns=['title', 'content']))
-                # print("{0}. {1} : {2}".format(idx, title, content))
             if post[1].text <= yesterday:
                 break
         break
 
     post_df.to_csv('data.csv', mode='w', encoding='utf-8-sig', index=False)
     print("CVS file saved")
-    # print(post_df)
-    # exit()
-    # post_df.reset_index(drop=True, inplace=True)
-    # post_df.to_json('data.json')
-    # # with open('data.json', 'w', encoding='utf-8-sig') as file:
-    # #     post_df.to_json(file, force_ascii=False)
 
     with open('data.json', 'w+', encoding='utf-8-sig') as json_file:
         for post in zip(post_df['title'].tolist(), post_df['content'].tolist()):
@@ -131,7 +123,4 @@ def GetData():
             }, json_file, ensure_ascii=False)
     print("JSON file saved")
 
-GetData()
-######## TODO: JSON으로 저장
-######## 형식 : { "document" : { "type" : "PLAIN_TEXT", "content" : "~~" }, "encodingType" : "UTF8" }
-######## GOOGLE Sentiment Analyzer 사용을 위해
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+GetData()
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