mirror of
https://github.com/langbot-app/LangBot.git
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59 lines
2.2 KiB
Python
59 lines
2.2 KiB
Python
from __future__ import annotations
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import random
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import asyncio
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import langbot_plugin.api.entities.builtin.platform.events as platform_events
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import langbot_plugin.api.entities.builtin.platform.message as platform_message
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import langbot_plugin.api.entities.builtin.provider.message as provider_message
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from .. import stage, entities
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import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
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@stage.stage_class('SendResponseBackStage')
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class SendResponseBackStage(stage.PipelineStage):
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"""发送响应消息"""
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async def process(self, query: pipeline_query.Query, stage_inst_name: str) -> entities.StageProcessResult:
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"""处理"""
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random_range = (
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query.pipeline_config['output']['force-delay']['min'],
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query.pipeline_config['output']['force-delay']['max'],
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)
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random_delay = random.uniform(*random_range)
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self.ap.logger.debug('根据规则强制延迟回复: %s s', random_delay)
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await asyncio.sleep(random_delay)
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if query.pipeline_config['output']['misc']['at-sender'] and isinstance(
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query.message_event, platform_events.GroupMessage
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):
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query.resp_message_chain[-1].insert(0, platform_message.At(target=query.message_event.sender.id))
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quote_origin = query.pipeline_config['output']['misc']['quote-origin']
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has_chunks = any(isinstance(msg, provider_message.MessageChunk) for msg in query.resp_messages)
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# TODO 命令与流式的兼容性问题
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if await query.adapter.is_stream_output_supported() and has_chunks:
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is_final = [msg.is_final for msg in query.resp_messages][0]
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await query.adapter.reply_message_chunk(
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message_source=query.message_event,
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bot_message=query.resp_messages[-1],
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message=query.resp_message_chain[-1],
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quote_origin=quote_origin,
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is_final=is_final,
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)
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else:
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await query.adapter.reply_message(
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message_source=query.message_event,
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message=query.resp_message_chain[-1],
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quote_origin=quote_origin,
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)
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return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
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