ryg/royalnet
ryg/royalnet
1
Fork 0
mirror of https://github.com/RYGhub/royalnet.git synced 2024-11-23 19:44:20 +00:00
Code Activity

Remove /markov

Browse source
This commit is contained in:
Steffo 2020-01-14 19:59:47 +01:00
parent 9b4764c28b
commit 5ec1b971b0
3 changed files with 0 additions and 44 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

1
pyproject.toml
View file

@ -22,7 +22,6 @@
riotwatcher = "^2.7.1"
royalspells = "^3.2"
markovify = "^0.8.0"
[tool.poetry.dependencies.royalnet]
version = "^5.2.4"

2
royalpack/commands/__init__.py
View file

@ -30,7 +30,6 @@ from .peertube import PeertubeCommand
from .funkwhale import FunkwhaleCommand
from .eval import EvalCommand
from .exec import ExecCommand
from .markov import MarkovCommand
# Enter the commands of your Pack here!
available_commands = [
@ -65,7 +64,6 @@ available_commands = [
EvalCommand,
ExecCommand,
FunkwhaleCommand,
MarkovCommand
]
# Don't change this, it should automatically generate __all__

41
royalpack/commands/markov.py
View file

@ -1,41 +0,0 @@
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:
raise CommandError(f"{self} è disattivato. Riprova tra un po' di giorni!")
# 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:
# raise InvalidInputError("Il modello richiesto non esiste.")
# 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}')