forked from KayFaraday/pleroma-ebooks
92 lines
3.0 KiB
Python
Executable File
92 lines
3.0 KiB
Python
Executable File
#!/usr/bin/env python3
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# This Source Code Form is subject to the terms of the Mozilla Public
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# License, v. 2.0. If a copy of the MPL was not distributed with this
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# file, You can obtain one at http://mozilla.org/MPL/2.0/.
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import markovify
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from bs4 import BeautifulSoup
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import re, multiprocessing, sqlite3, shutil, os, json, html
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cfg = json.load(open('config.json'))
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def make_sentence(output):
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class nlt_fixed(markovify.NewlineText): #modified version of NewlineText that never rejects sentences
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def test_sentence_input(self, sentence):
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return True #all sentences are valid <3
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shutil.copyfile("toots.db", "toots-copy.db") #create a copy of the database because reply.py will be using the main one
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db = sqlite3.connect("toots-copy.db")
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db.text_factory = str
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c = db.cursor()
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if cfg['learn_from_cw']:
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toots = c.execute("SELECT content FROM `toots` ORDER BY RANDOM() LIMIT 10000").fetchall()
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else:
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toots = c.execute("SELECT content FROM `toots` WHERE cw = 0 ORDER BY RANDOM() LIMIT 10000").fetchall()
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toots_str = ""
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for toot in toots: # TODO: find a more efficient way to do this
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toots_str += "\n{}".format(toot[0])
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model = nlt_fixed(toots_str)
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toots_str = None
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db.close()
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os.remove("toots-copy.db")
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sentence = None
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tries = 0
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while sentence is None and tries < 10:
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sentence = model.make_short_sentence(500, tries=10000)
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tries = tries + 1
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# optionally remove mentions
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if cfg['mention_handling'] == 1:
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sentence = 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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output.send(sentence)
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def make_toot(force_markov = False, args = None):
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return make_toot_markov()
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def make_toot_markov(query = None):
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toot = None
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pin, pout = multiprocessing.Pipe(False)
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p = multiprocessing.Process(target = make_sentence, args = [pout])
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p.start()
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p.join(5) #wait 5 seconds to get something
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if p.is_alive(): #if it's still trying to make a toot after 5 seconds
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p.terminate()
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p.join()
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else:
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toot = pin.recv()
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if toot == None:
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toot = "Toot generation failed! Contact Lynne (lynnesbian@fedi.lynnesbian.space) for assistance."
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return {
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"toot": toot,
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"media": None
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}
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def extract_toot(toot):
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toot = html.unescape(toot) #convert HTML escape codes to text
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soup = BeautifulSoup(toot, "html.parser")
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for lb in soup.select("br"): #replace <br> with linebreak
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lb.insert_after("\n")
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lb.decompose()
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for p in soup.select("p"): #ditto for <p>
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p.insert_after("\n")
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p.unwrap()
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for ht in soup.select("a.hashtag"): #make hashtags no longer links, just text
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ht.unwrap()
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for link in soup.select("a"): #ocnvert <a href='https://example.com>example.com</a> to just https://example.com
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link.insert_after(link["href"])
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link.decompose()
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text = soup.get_text()
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text = re.sub("https://([^/]+)/(@[^ ]+)", r"\2@\1", text) #put mastodon-style mentions back in
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text = re.sub("https://([^/]+)/users/([^ ]+)", r"@\2@\1", text) #put pleroma-style mentions back in
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text = text.rstrip("\n") #remove trailing newline
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return text
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