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37 lines
1.4 KiB
Python
37 lines
1.4 KiB
Python
from typing import *
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from royalnet.commands import *
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import markovify
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import os
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import re
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class MarkovCommand(Command):
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name: str = "markov"
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description: str = "Genera una frase da una catena di Markov."
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syntax: str = "[modello]"
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_texts: Dict[str, markovify.NewlineText] = {}
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def __init__(self, interface: CommandInterface):
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super().__init__(interface)
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files: List[str] = tuple(os.walk(self.config["Markov"]["models_directory"]))[0][2]
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for file in files:
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match = re.match("(\S+)\.json", file)
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if match is None:
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continue
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model_name = match.group(1)
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with open(os.path.join(self.config["Markov"]["models_directory"], file)) as f:
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self._texts[model_name] = markovify.NewlineText.from_json(f.read())
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async def run(self, args: CommandArgs, data: CommandData) -> None:
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model_name = args.optional(0, self.config["Markov"]["default_model"])
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try:
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sentence = self._texts[model_name].make_sentence()
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except KeyError:
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raise InvalidInputError("Il modello richiesto non esiste.")
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if sentence is None or sentence == "":
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await data.reply(f"💭 Il bot ([c]{model_name}[/c])... non dice niente. Riprova!")
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else:
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await data.reply(f'💬 Il bot ([c]{model_name}[/c]) dice:\n{sentence}')
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