Implement Adapter Design Pattern

scraping/scrape_twitter.py

@@ -2,6 +2,41 @@
 import json
 import datetime
 
+class Username:
+    def __init__(self, username):
+        self.username = username
+
+class TweetID:
+    def __init__(self, tweet_id):
+        self.tweet_id = tweet_id
+
+class Hashtags:
+    def __init__(self, hashtags):
+        self.hashtags.hashtags
+
+class Links:
+    def __init__(self, links):
+        self.links = links
+
+class Timestamp:
+    def __init__(self, timestamp):
+        self.timestamp = timestamp
+
+class Text:
+    def __init__(self, text):
+        self.text = text
+
+class Adapter:
+    def __init__(self, obj, adpater_methods):
+        self.obj = obj
+        self.__dict__.update(adpater_methods)
+
+    def __getattribute__(self, attribute):
+        return getattr(self.obj, attribute)
+
+    def original_dict(self):
+        return self.obj.__dict__
+
 if __name__ == '__main__':
     search_query = "WuhanVirus OR 2019nCoV OR Coronavirus OR WuhanCoronavirus OR coronaviruses OR coronavirusoutbreak OR coronavirus OR Covid-19 OR COVID-19 OR ChineseCoronavirus OR Coronaoutbreak"
     filename = "corona_twitter.json"
@@ -11,10 +46,22 @@
     print("Found: {} tweets".format(len(tweets)))
 
     j = []
+    username = Username()
+    tweet_id = TweetID()
+    hashtags = Hashtags()
+    links = Links()
+    timestamp = Timestamp()
+    text = Text()
+
     for t in tweets:
         t.timestamp = t.timestamp.isoformat()
         print("{} {} {} {} {}: {}".format(t.username, t.tweet_id, t.hashtags, t.links, t.timestamp, t.text))
-        j.append(t.__dict__)
+        j.append(Adapter(username, t.username)
+        j.append(Adapter(tweetid, t.tweet_id)
+        j.append(Adapter(hashtags, t.hashtags)
+        j.append(Adapter(links, t.links)
+        j.append(Adapter(timestamp, t.timestamp)
+        j.append(Adapter(text, t.text)
 
     with open(filename, "w") as f:
         f.write(json.dumps(j))