fix:修复记忆无法被置入reply的bug
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@@ -1,6 +1,5 @@
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from src.chat.heart_flow.observation.chatting_observation import ChattingObservation
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from src.chat.heart_flow.observation.structure_observation import StructureObservation
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from src.chat.heart_flow.observation.hfcloop_observation import HFCloopObservation
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from src.llm_models.utils_model import LLMRequest
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from src.config.config import global_config
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from src.common.logger import get_logger
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@@ -99,17 +98,15 @@ class MemoryActivator:
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working_info = observation.get_observe_info()
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for working_info_item in working_info:
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obs_info_text += f"{working_info_item['type']}: {working_info_item['content']}\n"
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elif isinstance(observation, HFCloopObservation):
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obs_info_text += observation.get_observe_info()
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# logger.debug(f"回忆待检索内容:obs_info_text: {obs_info_text}")
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logger.info(f"回忆待检索内容:obs_info_text: {obs_info_text}")
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# 将缓存的关键词转换为字符串,用于prompt
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cached_keywords_str = ", ".join(self.cached_keywords) if self.cached_keywords else "暂无历史关键词"
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prompt = await global_prompt_manager.format_prompt(
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"memory_activator_prompt",
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obs_info_text=obs_info_text,
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obs_info_text = obs_info_text,
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cached_keywords=cached_keywords_str,
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)
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@@ -129,7 +126,7 @@ class MemoryActivator:
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# 添加新的关键词到缓存
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self.cached_keywords.update(keywords)
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logger.debug(f"当前激活的记忆关键词: {self.cached_keywords}")
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logger.info(f"当前激活的记忆关键词: {self.cached_keywords}")
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# 调用记忆系统获取相关记忆
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related_memory = await hippocampus_manager.get_memory_from_topic(
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@@ -139,7 +136,7 @@ class MemoryActivator:
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# text=obs_info_text, max_memory_num=5, max_memory_length=2, max_depth=3, fast_retrieval=False
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# )
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# logger.debug(f"获取到的记忆: {related_memory}")
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logger.info(f"获取到的记忆: {related_memory}")
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# 激活时,所有已有记忆的duration+1,达到3则移除
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for m in self.running_memory[:]:
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