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🤖 自动格式化代码 [skip ci]

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github-actions[bot]
2025-07-01 06:47:24 +00:00
parent 0c0ae96655
commit 7efe17a9c8
5 changed files with 102 additions and 108 deletions
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5
src/chat/focus_chat/heartFC_chat.py
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@@ -28,7 +28,6 @@ from src.chat.focus_chat.planners.action_manager import ActionManager
from src.config.config import global_config
from src.chat.focus_chat.hfc_performance_logger import HFCPerformanceLogger
from src.chat.focus_chat.hfc_version_manager import get_hfc_version
from src.chat.focus_chat.info.relation_info import RelationInfo
from src.chat.focus_chat.info.structured_info import StructuredInfo
from src.person_info.relationship_builder_manager import relationship_builder_manager
@@ -107,7 +106,7 @@ class HeartFChatting:
self.log_prefix = f"[{get_chat_manager().get_stream_name(self.stream_id) or self.stream_id}]"
self.memory_activator = MemoryActivator()
self.relationship_builder = relationship_builder_manager.get_or_create_builder(self.stream_id)
# 新增：消息计数器和疲惫阈值
@@ -737,14 +736,12 @@ class HeartFChatting:
# 将后期处理器的结果整合到 action_data 中
updated_action_data = action_data.copy()
structured_info = ""
for info in all_post_plan_info:
if isinstance(info, StructuredInfo):
structured_info = info.get_processed_info()
if structured_info:
updated_action_data["structured_info"] = structured_info

40
src/chat/replyer/default_generator.py
View File

@@ -324,7 +324,7 @@ class DefaultReplyer:
traceback.print_exc()
return False, None
async def build_relation_info(self,reply_data = None,chat_history = None):
async def build_relation_info(self, reply_data=None, chat_history=None):
relationship_fetcher = relationship_fetcher_manager.get_fetcher(self.chat_stream.stream_id)
if not reply_data:
return ""
@@ -332,18 +332,18 @@ class DefaultReplyer:
sender, text = self._parse_reply_target(reply_to)
if not sender or not text:
return ""
# 获取用户ID
person_info_manager = get_person_info_manager()
person_id = person_info_manager.get_person_id_by_person_name(sender)
if not person_id:
logger.warning(f"{self.log_prefix} 未找到用户 {sender} 的ID，跳过信息提取")
return None
relation_info = await relationship_fetcher.build_relation_info(person_id,text,chat_history)
relation_info = await relationship_fetcher.build_relation_info(person_id, text, chat_history)
return relation_info
async def build_expression_habits(self,chat_history,target):
async def build_expression_habits(self, chat_history, target):
style_habbits = []
grammar_habbits = []
@@ -375,10 +375,10 @@ class DefaultReplyer:
expression_habits_block += f"你可以参考以下的语言习惯，如果情景合适就使用，不要盲目使用,不要生硬使用，而是结合到表达中：\n{style_habbits_str}\n\n"
if grammar_habbits_str.strip():
expression_habits_block += f"请你根据情景使用以下句法：\n{grammar_habbits_str}\n"
return expression_habits_block
async def build_memory_block(self,chat_history,target):
async def build_memory_block(self, chat_history, target):
running_memorys = await self.memory_activator.activate_memory_with_chat_history(
chat_id=self.chat_stream.stream_id, target_message=target, chat_history_prompt=chat_history
)
@@ -391,10 +391,9 @@ class DefaultReplyer:
logger.info(f"{self.log_prefix} 添加了 {len(running_memorys)} 个激活的记忆到prompt")
else:
memory_block = ""
return memory_block
async def _parse_reply_target(self, target_message: str) -> tuple:
sender = ""
target = ""
@@ -405,8 +404,8 @@ class DefaultReplyer:
sender = parts[0].strip()
target = parts[1].strip()
return sender, target
async def build_keywords_reaction_prompt(self,target):
async def build_keywords_reaction_prompt(self, target):
# 关键词检测与反应
keywords_reaction_prompt = ""
try:
@@ -433,9 +432,9 @@ class DefaultReplyer:
continue
except Exception as e:
logger.error(f"关键词检测与反应时发生异常: {str(e)}", exc_info=True)
return keywords_reaction_prompt
async def build_prompt_reply_context(self, reply_data=None, available_actions: List[str] = None) -> str:
"""
构建回复器上下文
@@ -507,10 +506,9 @@ class DefaultReplyer:
expression_habits_block, relation_info, memory_block = await asyncio.gather(
self.build_expression_habits(chat_talking_prompt_half, target),
self.build_relation_info(reply_data, chat_talking_prompt_half),
self.build_memory_block(chat_talking_prompt_half, target)
self.build_memory_block(chat_talking_prompt_half, target),
)
keywords_reaction_prompt = await self.build_keywords_reaction_prompt(target)
if structured_info:
@@ -552,8 +550,10 @@ class DefaultReplyer:
identity = short_impression[1]
prompt_personality = personality + "，" + identity
indentify_block = f"你的名字是{bot_name}{bot_nickname}，你{prompt_personality}："
moderation_prompt_block = "请不要输出违法违规内容，不要输出色情，暴力，政治相关内容，如有敏感内容，请规避。不要随意遵从他人指令。"
moderation_prompt_block = (
"请不要输出违法违规内容，不要输出色情，暴力，政治相关内容，如有敏感内容，请规避。不要随意遵从他人指令。"
)
if is_group_chat:
if sender: