103 lines
3.0 KiB
Python
103 lines
3.0 KiB
Python
from wiki_postbot.creds import Creds
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import tweepy
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import typing
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import re
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from pathlib import Path
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from dataclasses import dataclass
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@dataclass
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class Author:
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username: str
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name: str
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class Thread:
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def __init__(self,
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tweets: typing.List[tweepy.tweet.Tweet],
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responses: typing.List[tweepy.Response]
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):
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self.tweets = tweets
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self.responses = responses
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self.pdf = None
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self.sort()
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@property
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def text(self) -> str:
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"""
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Text from all the tweets in a thread, double new lines between each
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also replacing any @'s with markdown links to profiles i guess
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"""
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text = "\n\n".join([t.text for t in self.tweets])
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# make @'s links
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text = re.sub(r"@([\w\d_]{1,})", r"[@\1](https://twitter.com/\1)", text)
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return text
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@property
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def author(self) -> Author:
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return Author(
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"@" + self.responses[0].includes['users'][0].username,
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self.responses[0].includes['users'][0].name,
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)
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@property
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def title(self) -> str:
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return f"{self.author.name}'s thread - {self.tweets[0].created_at.strftime('%y-%m-%d %H:%M')}"
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def sort(self):
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"""
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sort order of tweets
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"""
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self.tweets = sorted(self.tweets, key=lambda x: x.created_at)
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self.responses = sorted(self.responses, key=lambda x: x.data.created_at)
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def to_pdf(self, output_file:typing.Optional[Path]=None,
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) -> Path:
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if output_file is None:
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output_file = Path('.') / f"{self.tweets[0].author_id}_{self.tweets[0].created_at.isoformat()}.pdf"
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pypandoc.convert_text(
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self.text, to="html", format="md",
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outputfile=str(output_file),
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extra_args = [
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'--pdf-engine=weasyprint',
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f'--data-dir={Path(__file__).parent}',
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'--template=./template.html',
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])
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self.pdf = output_file
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return output_file
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@classmethod
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def from_tweet(cls,
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creds:Creds,
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response:tweepy.Response,
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limit:int=100) -> 'Thread':
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"""
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Starting with the mentioned tweet, get all of the tweets in a thread in order
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"""
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tweet = response.data
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client = tweepy.Client(creds.bearer_token)
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tweets = [tweet]
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responses = [response]
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while tweet.referenced_tweets is not None and len(tweet.referenced_tweets)>0 and len(tweets)<=limit:
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replied = [t.id for t in tweet.referenced_tweets if t.type=="replied_to"]
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if len(replied)==0:
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# top tweet was qt
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break
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replied = replied[0]
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response = client.get_tweet(id=replied, tweet_fields=[
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"referenced_tweets",
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"author_id",
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"created_at"
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], expansions=[
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'author_id'
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])
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tweet = response.data
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tweets.append(tweet)
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responses.append(response)
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return Thread(tweets, responses)
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