add an option to avoid creating fake mentions
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README.md
12
README.md
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@ -11,6 +11,18 @@ This version makes quite a few changes from [the original](https://github.com/Je
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## Install/usage guide
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An installation and usage guide is available [here](https://cloud.lynnesbian.space/s/jozbRi69t4TpD95). It's primarily targeted at Linux, but it should be possible on BSD, macOS, etc. I've also put some effort into providing steps for Windows, but I can't make any guarantees as to its effectiveness.
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## Configuration
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Configuring mstdn-ebooks is accomplished by editing `config.json`.
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| Setting | Default | Meaning |
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|--------------------|------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| site | https://botsin.space | The instance your bot will log in to and post from. |
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| cw | null | The content warning (aka subject) mstdn-ebooks will apply to non-error posts. |
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| instance_blacklist | ["bofa.lol", "witches.town"] | If your bot is following someone from a blacklisted instance, it will skip over them and not download their posts. This is useful for ensuring that mstdn-ebooks doesn't download posts from dead instances, without you having to unfollow the user(s) from them. |
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| learn_from_cw | false | If true, mstdn-ebooks will learn from CW'd posts. |
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| mention_handling | 1 | 0: Never use mentions. 1: Only generate fake mentions in the middle of posts, never at the start. 2: Use mentions as normal (old behaviour). |
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## Original README
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hey look it's an ebooks bot
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@ -2,5 +2,6 @@
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"lang": "en",
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"site": "https://botsin.space",
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"cw": null,
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"learn_from_cw": false
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"learn_from_cw": false,
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"mention_handling": 1
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}
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@ -23,7 +23,7 @@ def make_sentence(output):
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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:
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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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@ -36,7 +36,11 @@ def make_sentence(output):
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sentence = model.make_short_sentence(500, tries=10000)
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tries = tries + 1
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sentence = re.sub("^(?:@\u202B[^ ]* )*", "", sentence) #remove leading pings (don't say "@bob blah blah" but still say "blah @bob blah")
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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?", "")
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elif cfg['mention_handling'] == 0:
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sentence = re.sub(r"\S*@\u200B\S*\s?", "")
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output.send(sentence)
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