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90 lines
3.6 KiB
Python
90 lines
3.6 KiB
Python
from __future__ import annotations
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import os
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import traceback
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from . import strategy
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from .. import stage, entities
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from ...core import entities as core_entities
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from ...platform.types import message as platform_message
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from ...utils import importutil
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from . import strategies
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importutil.import_modules_in_pkg(strategies)
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@stage.stage_class('LongTextProcessStage')
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class LongTextProcessStage(stage.PipelineStage):
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"""长消息处理阶段
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改写：
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- resp_message_chain
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"""
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strategy_impl: strategy.LongTextStrategy
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async def initialize(self, pipeline_config: dict):
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config = pipeline_config['output']['long-text-processing']
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if config['strategy'] == 'image':
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use_font = config['font-path']
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try:
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# 检查是否存在
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if not os.path.exists(use_font):
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# 若是windows系统，使用微软雅黑
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if os.name == 'nt':
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use_font = 'C:/Windows/Fonts/msyh.ttc'
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if not os.path.exists(use_font):
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self.ap.logger.warn(
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'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。'
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)
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config['blob_message_strategy'] = 'forward'
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else:
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self.ap.logger.info('使用Windows自带字体：' + use_font)
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config['font-path'] = use_font
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else:
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self.ap.logger.warn(
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'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。'
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)
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pipeline_config['output']['long-text-processing']['strategy'] = 'forward'
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except Exception:
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traceback.print_exc()
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self.ap.logger.error(
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'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(
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use_font
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)
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)
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pipeline_config['output']['long-text-processing']['strategy'] = 'forward'
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for strategy_cls in strategy.preregistered_strategies:
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if strategy_cls.name == config['strategy']:
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self.strategy_impl = strategy_cls(self.ap)
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break
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else:
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raise ValueError(f'未找到名为 {config["strategy"]} 的长消息处理策略')
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await self.strategy_impl.initialize()
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async def process(self, query: core_entities.Query, stage_inst_name: str) -> entities.StageProcessResult:
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# 检查是否包含非 Plain 组件
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contains_non_plain = False
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for msg in query.resp_message_chain[-1]:
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if not isinstance(msg, platform_message.Plain):
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contains_non_plain = True
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break
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if contains_non_plain:
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self.ap.logger.debug('消息中包含非 Plain 组件，跳过长消息处理。')
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elif (
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len(str(query.resp_message_chain[-1]))
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> query.pipeline_config['output']['long-text-processing']['threshold']
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):
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query.resp_message_chain[-1] = platform_message.MessageChain(
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await self.strategy_impl.process(str(query.resp_message_chain[-1]), query)
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)
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return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
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