The world's most clever kitty cat
Improve NixOS Module
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README.md
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README.md
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Minimal needed is an env var called `TOKEN` that contains the bot's token.
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Cogs may have additional options, these variables **should** be prefix with the
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cog's name
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ex: Cog `Math` may have `Math.TEMP_UNIT=fahrenheit`.
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## Cog Docs
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### [Markov](src/bingus/cogs/markov.py)
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- `/markov`: Make bingus try and reply to a prompt passed, use this to bypass the 80% change that bingus
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usually has to reply
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- `/scan_history`*: Scan the history of the current channel and add it to the chain. Since Bingus only learns
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from *new\* messages while he's active, you may need to do this when restarting him. This command can take a while depending on the number of messages.
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from*new\* messages while he's active, you may need to do this when restarting him. This command can take a while depending on the number of messages.
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- `/dump_chain`\*: Dumps the entire underlying markov chain as a JSON file and sends it
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- `/load_chain`\*: Loads a markov chain JSON (as generated by `/dump_chain`) additively
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- `/weights`: Dump the weights of the specified token to other tokens
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#### Markov Config
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- `Markov.REPLY_CHANNELS`: A _comma-delimited_ list of channel IDs that the bot should have
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- `REPLY_CHANNELS`: A _comma-delimited_ list of channel IDs that the bot should have
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have a chance to reply to messages in. The bot still learns from all channels in realtime, but
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these channels it'll have an 80% of replying to any message
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- `Markov.BRAIN_FILE`: Path to file where the chain will be persisted. This file will automatically be created
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- `BRAIN_FILE`: Path to file where the chain will be persisted. This file will automatically be created
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if it doesn't exist already. The file itself is msgpack compressed with brotli,
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so it's recommended to give it a `msgpackz` extension. By default it will be set to `$PWD/brain.msgpackz`
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#### Cog Config
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For simplicity we'll just use env vars for config. Prefix any env vars your cog will
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read with the cog's name and a `.` (example: `Markov` cog can have a var called `Markov.REPLY_CHANNELS`).
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For simplicity we'll just use env vars for config.
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Try to documents these options within this README file under the [The individual cogs docs](#cog-docs).
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Create a third-level heading with your cog's name, and a link to its source code.
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flake.nix
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flake.nix
nix/packages/bingus-env.nix
nix/packages/bingus.nix
nix/packages/bingus-env.nix
nix/packages/bingus.nix
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src/bingus/cogs/markov.py
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src/bingus/cogs/markov.py
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def __init__(self, bot: discord.bot.Bot):
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self.bot = bot
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self.reply_channels = [
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int(x) for x in os.getenv("Markov.REPLY_CHANNELS", "0").split(",")
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int(x) for x in os.getenv("REPLY_CHANNELS", "0").split(",")
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]
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self.chain_file = Path(os.getenv("Markov.BRAIN_FILE", "brain.msgpackz"))
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self.chain_file = Path(os.getenv("BRAIN_FILE", "brain.msgpackz"))
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if self.chain_file.is_file():
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print(f"Attempting load from {self.chain_file}...")
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try: