royalnet/markovpack/commands/markov.py

from typing import *
from royalnet.commands import *
import markovify
import os
import re


class MarkovCommand(Command):
    name: str = "markov"

    description: str = "Genera una frase da una catena di Markov."

    syntax: str = "[modello]"

    _texts: Dict[str, markovify.NewlineText] = {}

    def __init__(self, interface: CommandInterface):
        super().__init__(interface)
        if interface.name == "telegram":
            files: List[str] = tuple(os.walk(self.config["Markov"]["models_directory"]))[0][2]
            for file in files:
                match = re.match(r"(\S+)\.json$", file)
                if match is None:
                    continue
                model_name = match.group(1)
                with open(os.path.join(self.config["Markov"]["models_directory"], file)) as f:
                    self._texts[model_name] = markovify.NewlineText.from_json(f.read())

    async def run(self, args: CommandArgs, data: CommandData) -> None:
        if self.interface.name != "telegram":
            raise UnsupportedError("[c]markov[/c] funziona solo su Telegram.")
        model_name = args.optional(0, self.config["Markov"]["default_model"])
        try:
            sentence = self._texts[model_name].make_sentence()
        except KeyError:
            models = "\n- ".join([model_name for model_name in self._texts])
            raise InvalidInputError("Il modello richiesto non esiste."
                                    f"Modelli disponibili: {models}")
        if sentence is None or sentence == "":
            await data.reply(f"💭 Il bot ([c]{model_name}[/c])... non dice niente. Riprova!")
        else:
            await data.reply(f'💬 Il bot ([c]{model_name}[/c]) dice:\n{sentence}')