QChatGPT/pkg/pipeline/longtext/longtext.py

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from __future__ import annotations
import os
import traceback
from PIL import Image, ImageDraw, ImageFont
from mirai.models.message import MessageComponent, Plain, MessageChain
from ...core import app
from . import strategy
from .strategies import image, forward
from .. import stage, entities, stagemgr
from ...core import entities as core_entities
from ...config import manager as cfg_mgr
@stage.stage_class("LongTextProcessStage")
class LongTextProcessStage(stage.PipelineStage):
"""长消息处理阶段
改写:
- resp_message_chain
"""
strategy_impl: strategy.LongTextStrategy
async def initialize(self):
config = self.ap.platform_cfg.data['long-text-process']
if config['strategy'] == 'image':
use_font = config['font-path']
try:
# 检查是否存在
if not os.path.exists(use_font):
# 若是windows系统使用微软雅黑
if os.name == "nt":
use_font = "C:/Windows/Fonts/msyh.ttc"
if not os.path.exists(use_font):
self.ap.logger.warn("未找到字体文件且无法使用Windows自带字体更换为转发消息组件以发送长消息您可以在配置文件中调整相关设置。")
config['blob_message_strategy'] = "forward"
else:
self.ap.logger.info("使用Windows自带字体" + use_font)
config['font-path'] = use_font
else:
self.ap.logger.warn("未找到字体文件,且无法使用系统自带字体,更换为转发消息组件以发送长消息,您可以在配置文件中调整相关设置。")
self.ap.platform_cfg.data['long-text-process']['strategy'] = "forward"
except:
traceback.print_exc()
self.ap.logger.error("加载字体文件失败({}),更换为转发消息组件以发送长消息,您可以在配置文件中调整相关设置。".format(use_font))
self.ap.platform_cfg.data['long-text-process']['strategy'] = "forward"
for strategy_cls in strategy.preregistered_strategies:
if strategy_cls.name == config['strategy']:
self.strategy_impl = strategy_cls(self.ap)
break
else:
raise ValueError(f"未找到名为 {config['strategy']} 的长消息处理策略")
await self.strategy_impl.initialize()
async def process(self, query: core_entities.Query, stage_inst_name: str) -> entities.StageProcessResult:
# 检查是否包含非 Plain 组件
contains_non_plain = False
for msg in query.resp_message_chain[-1]:
if not isinstance(msg, Plain):
contains_non_plain = True
break
if contains_non_plain:
self.ap.logger.debug("消息中包含非 Plain 组件,跳过长消息处理。")
elif len(str(query.resp_message_chain[-1])) > self.ap.platform_cfg.data['long-text-process']['threshold']:
query.resp_message_chain[-1] = MessageChain(await self.strategy_impl.process(str(query.resp_message_chain[-1]), query))
return entities.StageProcessResult(
result_type=entities.ResultType.CONTINUE,
new_query=query
)