amber-ebooks/functions.py

89 lines
2.9 KiB
Python
Executable File

#!/usr/bin/env python3
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
import markovify
from bs4 import BeautifulSoup
import re, multiprocessing, sqlite3, shutil, os, json, html
cfg = json.load(open('config.json'))
def make_sentence(output):
class nlt_fixed(markovify.NewlineText): #modified version of NewlineText that never rejects sentences
def test_sentence_input(self, sentence):
return True #all sentences are valid <3
shutil.copyfile("toots.db", "toots-copy.db") #create a copy of the database because reply.py will be using the main one
db = sqlite3.connect("toots-copy.db")
db.text_factory = str
c = db.cursor()
if cfg['learn_from_cw']:
toots = c.execute("SELECT content FROM `toots` ORDER BY RANDOM() LIMIT 10000").fetchall()
else:
toots = c.execute("SELECT content FROM `toots` WHERE cw = 0 ORDER BY RANDOM() LIMIT 10000").fetchall()
toots_str = ""
for toot in toots: # TODO: find a more efficient way to do this
toots_str += "\n{}".format(toot[0])
model = nlt_fixed(toots_str)
toots_str = None
db.close()
os.remove("toots-copy.db")
sentence = None
tries = 0
while sentence is None and tries < 10:
sentence = model.make_short_sentence(500, tries=10000)
tries = tries + 1
# optionally remove mentions
if cfg['mention_handling'] == 1:
sentence = re.sub(r"^\S*@\u200B\S*\s?", "", sentence)
elif cfg['mention_handling'] == 0:
sentence = re.sub(r"\S*@\u200B\S*\s?", "", sentence)
output.send(sentence)
def make_toot(force_markov = False, args = None):
return make_toot_markov()
def make_toot_markov(query = None):
toot = None
pin, pout = multiprocessing.Pipe(False)
p = multiprocessing.Process(target = make_sentence, args = [pout])
p.start()
p.join(5) #wait 5 seconds to get something
if p.is_alive(): #if it's still trying to make a toot after 5 seconds
p.terminate()
p.join()
else:
toot = pin.recv()
if toot == None:
toot = "Toot generation failed! Contact Lynne (lynnesbian@fedi.lynnesbian.space) for assistance."
return toot
def extract_toot(toot):
toot = html.unescape(toot) #convert HTML escape codes to text
soup = BeautifulSoup(toot, "html.parser")
for lb in soup.select("br"): #replace <br> with linebreak
lb.insert_after("\n")
lb.decompose()
for p in soup.select("p"): #ditto for <p>
p.insert_after("\n")
p.unwrap()
for ht in soup.select("a.hashtag"): #make hashtags no longer links, just text
ht.unwrap()
for link in soup.select("a"): #ocnvert <a href='https://example.com>example.com</a> to just https://example.com
link.insert_after(link["href"])
link.decompose()
text = soup.get_text()
text = re.sub("https://([^/]+)/(@[^ ]+)", r"\2@\1", text) #put mastodon-style mentions back in
text = re.sub("https://([^/]+)/users/([^ ]+)", r"@\2@\1", text) #put pleroma-style mentions back in
text = text.rstrip("\n") #remove trailing newline
return text