muskit
57 lines
1.6 KiB
Python
57 lines
1.6 KiB
Python
## The bot's catch-up mode
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# Scan all accounts for cross-company interactions.
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# Terminates when finished scanning and posting.
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#
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# We should post, at the fastest, one tweet per minute.
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import os
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import asyncio
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import twint
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from util import *
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from talent_lists import *
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from api import TwAPI
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import talenttweet as tt
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cross_tweets_queue = dict()
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## Returns list of tweets present in queue.txt
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def get_local_queue():
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# f = open(os.path.join(get_project_dir(), 'queue.txt'))
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pass
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## Returns the ID of all tweets (up to limit) from a user ID.
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def get_user_tweet_ids(id, limit=None):
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tweets = list()
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c = twint.Config()
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c.User_id = id
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c.Limit = limit
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c.Store_object = True
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c.Store_object_tweets_list = tweets
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c.Hide_output = True
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twint.run.Search(c)
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return [x.id for x in tweets]
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async def run():
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queue = get_local_queue()
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# for user_id in talents.keys():
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# tweets_ids = get_user_tweet_ids(user_id, limit=20)
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# for id in tweets_ids:
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# ttweet = tt.TalentAPITweet(id)
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# print(ttweet)
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# ids = get_user_tweet_ids(1413339084076978179, limit=20)
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# for id in ids:
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# ttweet = tt.TalentAPITweet(tweet_id=id)
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# print(ttweet)
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# serialized_ttweet = '1573778069441200129 1390620618001838086 1664052905.0 m 70876713 1413326894435602434 r 1413326894435602434'
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# ttweet = tt.TalentTweet.deserialize(serialized_ttweet)
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# print(ttweet)
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ttweet = tt.TalentAPITweet(1573563417415233536)
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print(ttweet)
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# await TwAPI.instance.create_post(ttweet) |