a couple libraries and even MORE restructuring

src/catchup.py

@@ -5,6 +5,7 @@
 # We should post, at the fastest, one tweet per minute.
 
 import os
+import asyncio
 
 import twint
 
@@ -13,6 +14,8 @@ from talent_lists import *
 from api import TwAPI
 import talenttweet as tt
 
+cross_tweets_queue = dict()
+
 ## Returns list of tweets present in queue.txt
 def get_local_queue():
     # f = open(os.path.join(get_project_dir(), 'queue.txt'))
@@ -26,14 +29,29 @@ def get_user_tweet_ids(id, limit=None):
     c.Limit = limit
     c.Store_object = True
     c.Store_object_tweets_list = tweets
+    c.Hide_output = True
     
     twint.run.Search(c)
     return [x.id for x in tweets]
 
-def run():
+async def run():
     queue = get_local_queue()
 
-    tweets_ids = get_user_tweet_ids(1390620618001838086, limit=20)
-    for id in tweets_ids:
-        ttweet = tt.TalentTweet(id)
-        print(ttweet)
+    # for user_id in talents.keys():
+    #     tweets_ids = get_user_tweet_ids(user_id, limit=20)
+    #     for id in tweets_ids:
+    #         ttweet = tt.TalentAPITweet(id)
+    #         print(ttweet)
+
+    # ids = get_user_tweet_ids(1413339084076978179, limit=20)
+    # for id in ids:
+    #     ttweet = tt.TalentAPITweet(tweet_id=id)
+    #     print(ttweet)
+
+    # serialized_ttweet = '1573778069441200129 1390620618001838086 1664052905.0 m 70876713 1413326894435602434 r 1413326894435602434'
+    # ttweet = tt.TalentTweet.deserialize(serialized_ttweet)
+    # print(ttweet)
+
+    ttweet = tt.TalentAPITweet(1573563417415233536)
+    print(ttweet)
+    # await TwAPI.instance.create_post(ttweet)