mirror of
https://github.com/nonebot/nonebot2.git
synced 2024-11-28 05:16:48 +08:00
117 lines
3.6 KiB
Python
117 lines
3.6 KiB
Python
import re
|
||
import asyncio
|
||
from collections import namedtuple
|
||
from typing import Dict, Any, Iterable, Optional, Callable, Union
|
||
|
||
from aiocqhttp import CQHttp
|
||
from aiocqhttp.message import Message
|
||
|
||
from . import permission as perm
|
||
from .session import BaseSession
|
||
from .command import call_command
|
||
from .log import logger
|
||
|
||
_nl_processors = set()
|
||
|
||
|
||
class NLProcessor:
|
||
__slots__ = ('func', 'keywords', 'permission', 'only_to_me')
|
||
|
||
def __init__(self, *, func: Callable, keywords: Optional[Iterable],
|
||
permission: int, only_to_me: bool):
|
||
self.func = func
|
||
self.keywords = keywords
|
||
self.permission = permission
|
||
self.only_to_me = only_to_me
|
||
|
||
|
||
def on_natural_language(keywords: Union[Optional[Iterable], Callable] = None, *,
|
||
permission: int = perm.EVERYBODY,
|
||
only_to_me: bool = True) -> Callable:
|
||
"""
|
||
Decorator to register a function as a natural language processor.
|
||
|
||
:param keywords: keywords to respond, if None, respond to all messages
|
||
:param permission: permission required by the processor
|
||
:param only_to_me: only handle messages to me
|
||
"""
|
||
|
||
def deco(func: Callable) -> Callable:
|
||
nl_processor = NLProcessor(func=func, keywords=keywords,
|
||
permission=permission, only_to_me=only_to_me)
|
||
_nl_processors.add(nl_processor)
|
||
return func
|
||
|
||
if isinstance(keywords, Callable):
|
||
# here "keywords" is the function to be decorated
|
||
return on_natural_language()(keywords)
|
||
else:
|
||
return deco
|
||
|
||
|
||
class NLPSession(BaseSession):
|
||
__slots__ = ('msg', 'msg_text', 'msg_images')
|
||
|
||
def __init__(self, bot: CQHttp, ctx: Dict[str, Any], msg: str):
|
||
super().__init__(bot, ctx)
|
||
self.msg = msg
|
||
tmp_msg = Message(msg)
|
||
self.msg_text = tmp_msg.extract_plain_text()
|
||
self.msg_images = [s.data['url'] for s in tmp_msg
|
||
if s.type == 'image' and 'url' in s.data]
|
||
|
||
|
||
NLPResult = namedtuple('NLPResult', (
|
||
'confidence',
|
||
'cmd_name',
|
||
'cmd_args',
|
||
))
|
||
|
||
|
||
async def handle_natural_language(bot: CQHttp, ctx: Dict[str, Any]) -> bool:
|
||
"""
|
||
Handle a message as natural language.
|
||
|
||
This function is typically called by "handle_message".
|
||
|
||
:param bot: CQHttp instance
|
||
:param ctx: message context
|
||
:return: the message is handled as natural language
|
||
"""
|
||
msg = str(ctx['message'])
|
||
if bot.config.NICKNAME:
|
||
# check if the user is calling to me with my nickname
|
||
m = re.search(rf'^{bot.config.NICKNAME}[\s,，]+', msg)
|
||
if m:
|
||
ctx['to_me'] = True
|
||
msg = msg[m.end():]
|
||
|
||
session = NLPSession(bot, ctx, msg)
|
||
|
||
coros = []
|
||
for p in _nl_processors:
|
||
should_run = await perm.check_permission(bot, ctx, p.permission)
|
||
if should_run and p.keywords:
|
||
for kw in p.keywords:
|
||
if kw in session.msg_text:
|
||
break
|
||
else:
|
||
# no keyword matches
|
||
should_run = False
|
||
if should_run and p.only_to_me and not ctx['to_me']:
|
||
should_run = False
|
||
|
||
if should_run:
|
||
coros.append(p.func(session))
|
||
|
||
if coros:
|
||
# wait for possible results, and sort them by confidence
|
||
results = sorted(filter(lambda r: r, await asyncio.gather(*coros)),
|
||
key=lambda r: r.confidence, reverse=True)
|
||
logger.debug(results)
|
||
if results and results[0].confidence >= 60.0:
|
||
# choose the result with highest confidence
|
||
return await call_command(bot, ctx,
|
||
results[0].cmd_name, results[0].cmd_args)
|
||
return False
|