transition to using twint for ttweet construction
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+4
-53
@@ -25,7 +25,7 @@ def get_local_queue():
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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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def get_user_tweets(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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@@ -41,53 +41,8 @@ def get_user_tweet_ids(id, limit=None):
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except:
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print(f'Had trouble getting tweets from {user_str}')
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ret = [x.id for x in tweets]
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print(f'Scraped {len(ret)} tweets')
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return ret
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# Produce tweet IDs from talent_list.talents for the producer/consumer model.
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# Put lists of tweet IDs as we create them.
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# Put None to queue to indicate end.
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async def produce_ids_from_talents(queue: asyncio.Queue, finished_users):
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def debug(str):
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print(f'[prd] {str}')
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for talent_id in talents.keys():
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if talent_id in finished_users:
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debug(f'@{util.get_username(talent_id)} already done, skipping...')
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else:
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tweet_ids = get_user_tweet_ids(talent_id)
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debug(f'adding {util.get_username(talent_id)}\'s tweets to queue')
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await queue.put(tweet_ids)
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await queue.put(None)
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async def consume_ids_into_ttweets(queue: asyncio.Queue, queue_file: str):
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def debug(str):
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print(f'[con] {str}')
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ttweets_dict = dict()
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with open(queue_file, 'w') as f:
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while True:
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tweet_ids = await queue.get()
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if tweet_ids is None: break
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try:
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for tweet_id in tweet_ids:
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ttweet = await tt.TalentTweet.create_from_id(id=tweet_id)
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if ttweet.is_cross_company():
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ttweets_dict['tweet_id'] = ttweet
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except:
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debug(traceback.format_exc())
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debug(f'Error retrieving Tweet #{tweet_id} from api!')
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f.write('1\n') # 1 = error/incomplete
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break
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else:
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f.write('0\n') # 0 = success
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f.write('\n')
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ttweets_dict = dict(sorted(ttweets_dict.items()))
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for ttweet in ttweets_dict.values():
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f.write(f'{ttweet.serialize()}\n')
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return ttweets_dict
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print(f'Scraped {len(tweets)} tweets')
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return tweets
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# If queue.txt doesn't exist, creates and populates it.
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# Returns a list of sorted and filtered TalentTweets (should
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@@ -120,11 +75,7 @@ async def get_cross_talent_tweets(queue_file):
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except FileNotFoundError:
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print('Couldn\'t find queue.txt.')
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async_queue = asyncio.Queue()
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consumer = asyncio.create_task(consume_ids_into_ttweets(queue=async_queue, queue_file=queue_file))
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await produce_ids_from_talents(queue=async_queue, finished_users=finished_users)
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ttweets_dict = await consumer
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return ttweets_dict
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# TODO: implement ordered cross-company ttweets dict creation using twint
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def process_queue(file):
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print('TODO: implement process_queue')
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@@ -2,6 +2,7 @@ from datetime import datetime
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import platform
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import pytz
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import twint
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from twapi import *
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import talent_lists
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@@ -41,6 +42,27 @@ class TalentTweet:
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date_time=date_time, mrq=(mentions, reply_to, quote_retweeted)
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)
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@staticmethod
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def create_from_twint_tweet(tweet):
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# qrt
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if tweet.quote_url != '':
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return TalentTweet(tweet_id=tweet.id)
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# MRQ (Q is guaranteed to be None)
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mentions = set()
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reply_to = None
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# reply_to/mentions
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is_reply = tweet.id == int(tweet.conversation_id)
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if is_reply:
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reply_to = tweet.reply_to[0]
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mentions = set(tweet.reply_to[1:])
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mentions.add(*tweet.mentions)
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datetime = datetime.strptime(tweet.datetime, '%Y-%m-%d %H:%M:%S %Z')
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return TalentTweet(tweet_id=tweet.id, author_id=tweet.user_id, date_time=datetime, mrq=(mentions, reply_to, None))
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@staticmethod
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async def create_from_id(id):
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resp = await TwAPI.instance.get_tweet_response(id)
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