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https://github.com/Lynnesbian/FediBooks/
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moved make_post to functions.py
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parent
436a911397
commit
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2 changed files with 78 additions and 67 deletions
78
functions.py
78
functions.py
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@ -1,5 +1,14 @@
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from bs4 import BeautifulSoup
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import html, re
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import MySQLdb
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import markovify
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from mastodon import Mastodon
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import html, re, json
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cfg = json.load(open('config.json'))
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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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def extract_post(post):
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post = html.unescape(post) # convert HTML escape codes to text
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@ -24,3 +33,70 @@ def extract_post(post):
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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(s)
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return text
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def make_post(handle):
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handle = handle[0]
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db = MySQLdb.connect(
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host = cfg['db_host'],
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user=cfg['db_user'],
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passwd=cfg['db_pass'],
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db=cfg['db_name']
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)
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print("Generating post for {}".format(handle))
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c = db.cursor()
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c.execute("""
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SELECT
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learn_from_cw, client_id, client_secret, secret
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FROM
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bots, credentials
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WHERE
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bots.credentials_id = (SELECT
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credentials_id
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FROM
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bots
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WHERE
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handle = %s)
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""", (handle,))
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bot = c.fetchone()
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client = Mastodon(
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client_id = bot[1],
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client_secret = bot[2],
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access_token = bot[3],
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api_base_url = "https://{}".format(handle.split("@")[2])
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)
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# by default, only select posts that don't have CWs.
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# if learn_from_cw, then also select posts with CWs
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cw_list = [False]
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if bot[0]:
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cw_list = [False, True]
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# select 1000 random posts for the bot to learn from
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c.execute("SELECT content FROM posts WHERE fedi_id IN (SELECT fedi_id FROM bot_learned_accounts WHERE bot_id = %s) AND cw IN %s ORDER BY RAND() LIMIT 1000", (handle, cw_list))
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# this line is a little gross/optimised but here's what it does
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# 1. fetch all of the results from the above query
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# 2. turn (('this',), ('format')) into ('this', 'format')
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# 3. convert the tuple to a list
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# 4. join the list into a string separated by newlines
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posts = "\n".join(list(sum(c.fetchall(), ())))
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model = nlt_fixed(posts)
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tries = 0
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sentence = None
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# even with such a high tries value for markovify, it still sometimes returns none.
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# so we implement our own tries function as well, and try ten times.
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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 += 1
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# TODO: mention handling
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if sentence == None:
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# TODO: send an error email
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pass
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else:
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client.status_post(sentence)
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# TODO: update date of last post
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67
service.py
67
service.py
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@ -9,10 +9,6 @@ import functions
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cfg = json.load(open('config.json'))
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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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def scrape_posts(account):
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handle = account[0]
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outbox = account[1]
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@ -88,67 +84,6 @@ def scrape_posts(account):
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db.commit()
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c.close()
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def make_post(handle):
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handle = handle[0]
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print("Generating post for {}".format(handle))
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c = db.cursor()
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c.execute("""
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SELECT
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learn_from_cw, client_id, client_secret, secret
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FROM
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bots, credentials
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WHERE
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bots.credentials_id = (SELECT
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credentials_id
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FROM
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bots
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WHERE
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handle = %s)
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""", (handle,))
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bot = c.fetchone()
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client = Mastodon(
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client_id = bot[1],
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client_secret = bot[2],
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access_token = bot[3],
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api_base_url = "https://{}".format(handle.split("@")[2])
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)
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# by default, only select posts that don't have CWs.
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# if learn_from_cw, then also select posts with CWs
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cw_list = [False]
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if bot[0]:
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cw_list = [False, True]
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# select 1000 random posts for the bot to learn from
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c.execute("SELECT content FROM posts WHERE fedi_id IN (SELECT fedi_id FROM bot_learned_accounts WHERE bot_id = %s) AND cw IN %s ORDER BY RAND() LIMIT 1000", (handle, cw_list))
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# this line is a little gross/optimised but here's what it does
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# 1. fetch all of the results from the above query
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# 2. turn (('this',), ('format')) into ('this', 'format')
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# 3. convert the tuple to a list
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# 4. join the list into a string separated by newlines
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posts = "\n".join(list(sum(c.fetchall(), ())))
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model = nlt_fixed(posts)
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tries = 0
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sentence = None
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# even with such a high tries value for markovify, it still sometimes returns none.
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# so we implement our own tries function as well, and try ten times.
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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 += 1
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# TODO: mention handling
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if sentence == None:
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# TODO: send an error email
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pass
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else:
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client.status_post(sentence)
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# TODO: update date of last post
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print("Establishing DB connection")
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db = MySQLdb.connect(
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host = cfg['db_host'],
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@ -173,6 +108,6 @@ cursor.execute("SELECT handle FROM bots WHERE enabled = TRUE")
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bots = cursor.fetchall()
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with Pool(8) as p:
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p.map(make_post, bots)
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p.map(functions.make_post, bots)
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#TODO: other cron tasks should be done here, like updating profile pictures
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