pleroma-ebooks/reply.py

41 lines
1.5 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 mastodon
import os, random, re, json
import functions
from bs4 import BeautifulSoup
cfg = json.load(open('config.json', 'r'))
client = mastodon.Mastodon(
client_id=cfg['client']['id'],
client_secret=cfg['client']['secret'],
access_token=cfg['secret'],
api_base_url=cfg['site'])
def extract_toot(toot):
text = functions.extract_toot(toot)
text = re.sub(r"^@[^@]+@[^ ]+\s*", r"", text) #remove the initial mention
text = text.lower() #treat text as lowercase for easier keyword matching (if this bot uses it)
return text
class ReplyListener(mastodon.StreamListener):
def on_notification(self, notification): #listen for notifications
if notification['type'] == 'mention': #if we're mentioned:
acct = "@" + notification['account']['acct'] #get the account's @
post_id = notification['status']['id']
mention = extract_toot(notification['status']['content'])
toot = functions.make_toot(True)['toot'] #generate a toot
toot = acct + " " + toot #prepend the @
print(acct + " says " + mention) #logging
visibility = notification['status']['visibility']
if visibility == "public":
visibility = "unlisted"
client.status_post(toot, post_id, visibility=visibility, spoiler_text = cfg['cw']) #send toost
print("replied with " + toot) #logging
rl = ReplyListener()
client.stream_user(rl) #go!