forked from KayFaraday/pleroma-ebooks
101 lines
3.1 KiB
Python
101 lines
3.1 KiB
Python
# SPDX-License-Identifier: MPL-2.0
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import re
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import os
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import sys
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import html
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import enum
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import json
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import shutil
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import inspect
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import sqlite3
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import argparse
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import itertools
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import json5 as json
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import multiprocessing
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import anyio.to_process
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from bs4 import BeautifulSoup
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TextGenerationMode = enum.Enum('TextGenerationMode', """
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markov
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gpt_2
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textsynth
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""".split())
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def arg_parser_factory(*, description):
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parser = argparse.ArgumentParser(description=description)
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parser.add_argument(
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'-c', '--cfg', dest='cfg', default='config.json', nargs='?',
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help='Specify a custom location for the config file.'
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)
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return parser
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def parse_args(*, description):
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return arg_parser_factory(description=description).parse_args()
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def load_config(cfg_path):
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with open('config.defaults.json') as f:
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cfg = json.load(f)
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with open(cfg_path) as f:
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cfg.update(json.load(f))
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if not cfg['site'].startswith('https://') and not cfg['site'].startswith('http://'):
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print("Site must begin with 'https://' or 'http://'. Value '{0}' is invalid - try 'https://{0}' instead.".format(cfg['site']), file=sys.stderr)
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sys.exit(1)
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if not cfg.get('access_token'):
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print('No authentication info', file=sys.stderr)
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print('Get a client id, client secret, and access token here: https://tools.splat.soy/pleroma-access-token/', file=sys.stderr)
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print('Then put `access_token` in your config file.', file=sys.stderr)
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sys.exit(1)
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cfg['generation_mode'] = TextGenerationMode.__members__[cfg['generation_mode']]
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cfg.setdefault('db_path', 'posts.db')
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return cfg
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def remove_mentions(cfg, sentence):
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# optionally remove mentions
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if cfg['mention_handling'] == 1:
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return re.sub(r"^\S*@\u200B\S*\s?", "", sentence)
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elif cfg['mention_handling'] == 0:
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sentence = re.sub(r"\S*@\u200B\S*\s?", "", sentence)
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return sentence
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async def make_post(cfg, *, mode=TextGenerationMode.markov):
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if mode is TextGenerationMode.markov:
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from generators.markov import make_sentence
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elif mode is TextGenerationMode.gpt_2:
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from generators.gpt_2 import make_sentence
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elif mode is TextGenerationMode.textsynth:
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from generators.textsynth import make_sentence
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# return await anyio.to_process.run_sync(make_sentence, cfg)
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# check if inspect.iscoroutinefunction(object)
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if inspect.iscoroutinefunction(make_sentence):
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return await make_sentence(cfg)
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else:
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return await anyio.to_process.run_sync(make_sentence, cfg)
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def extract_post_content(text):
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soup = BeautifulSoup(text, "html.parser")
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for el in soup.select('br'): # replace <br> with linebreak
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el.replace_with('\n')
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for ht in soup.select("a.hashtag, a.mention"): # convert hashtags and mentions from links to text
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ht.unwrap()
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# TODO glitch-soc and pleroma let you use custom link text. think about how we should handle that.
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for link in soup.select("a"): # convert <a href='https://example.com'>example.com</a> to just https://example.com
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if 'href' in link:
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# apparently not all a tags have a href,
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# which is understandable if you're doing normal web stuff, but on a social media platform??
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link.replace_with(link["href"])
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for el in soup.select('p'):
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el.replace_with('\n' + el.get_text() + '\n')
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return soup.get_text().strip()
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