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fix：修正s4u的一些问题，修复表达方式共享失效的问题

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This commit is contained in:
SengokuCola
2025-07-17 00:55:48 +08:00
parent 45aeb2df3d
commit c12975bfdf
11 changed files with 213 additions and 83 deletions
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56
src/chat/express/expression_selector.py
View File

@@ -81,32 +81,70 @@ class ExpressionSelector:
request_type="expression.selector",
)
@staticmethod
def _parse_stream_config_to_chat_id(stream_config_str: str) -> Optional[str]:
"""解析'platform:id:type'为chat_id（与get_stream_id一致）"""
try:
parts = stream_config_str.split(":")
if len(parts) != 3:
return None
platform = parts[0]
id_str = parts[1]
stream_type = parts[2]
is_group = stream_type == "group"
import hashlib
if is_group:
components = [platform, str(id_str)]
else:
components = [platform, str(id_str), "private"]
key = "_".join(components)
return hashlib.md5(key.encode()).hexdigest()
except Exception:
return None
def get_related_chat_ids(self, chat_id: str) -> List[str]:
"""根据expression_groups配置，获取与当前chat_id相关的所有chat_id（包括自身）"""
groups = global_config.expression.expression_groups
for group in groups:
group_chat_ids = []
for stream_config_str in group:
chat_id_candidate = self._parse_stream_config_to_chat_id(stream_config_str)
if chat_id_candidate:
group_chat_ids.append(chat_id_candidate)
if chat_id in group_chat_ids:
return group_chat_ids
return [chat_id]
def get_random_expressions(
self, chat_id: str, total_num: int, style_percentage: float, grammar_percentage: float
) -> Tuple[List[Dict[str, str]], List[Dict[str, str]]]:
# 直接数据库查询
style_query = Expression.select().where((Expression.chat_id == chat_id) & (Expression.type == "style"))
grammar_query = Expression.select().where((Expression.chat_id == chat_id) & (Expression.type == "grammar"))
style_exprs = [
# 支持多chat_id合并抽选
related_chat_ids = self.get_related_chat_ids(chat_id)
style_exprs = []
grammar_exprs = []
for cid in related_chat_ids:
style_query = Expression.select().where((Expression.chat_id == cid) & (Expression.type == "style"))
grammar_query = Expression.select().where((Expression.chat_id == cid) & (Expression.type == "grammar"))
style_exprs.extend([
{
"situation": expr.situation,
"style": expr.style,
"count": expr.count,
"last_active_time": expr.last_active_time,
"source_id": chat_id,
"source_id": cid,
"type": "style"
} for expr in style_query
]
grammar_exprs = [
])
grammar_exprs.extend([
{
"situation": expr.situation,
"style": expr.style,
"count": expr.count,
"last_active_time": expr.last_active_time,
"source_id": chat_id,
"source_id": cid,
"type": "grammar"
} for expr in grammar_query
]
])
style_num = int(total_num * style_percentage)
grammar_num = int(total_num * grammar_percentage)
# 按权重抽样（使用count作为权重）

7
src/chat/message_receive/message.py
View File

@@ -186,6 +186,7 @@ class MessageRecvS4U(MessageRecv):
def __init__(self, message_dict: dict[str, Any]):
super().__init__(message_dict)
self.is_gift = False
self.is_fake_gift = False
self.is_superchat = False
self.gift_info = None
self.gift_name = None
@@ -194,6 +195,7 @@ class MessageRecvS4U(MessageRecv):
self.superchat_price = None
self.superchat_message_text = None
self.is_screen = False
self.voice_done = None
async def process(self) -> None:
self.processed_plain_text = await self._process_message_segments(self.message_segment)
@@ -257,6 +259,11 @@ class MessageRecvS4U(MessageRecv):
self.gift_name = name.strip()
self.gift_count = int(count.strip())
return ""
elif segment.type == "voice_done":
msg_id = segment.data
logger.info(f"voice_done: {msg_id}")
self.voice_done = msg_id
return ""
elif segment.type == "superchat":
self.is_superchat = True
self.superchat_info = segment.data

2
src/mais4u/config/s4u_config.toml
View File

@@ -34,5 +34,7 @@ max_typing_delay = 2.0 # 最大打字延迟（秒）
enable_old_message_cleanup = true # 是否自动清理过旧的普通消息
enable_loading_indicator = true # 是否显示加载提示
enable_streaming_output = true # 是否启用流式输出，false时全部生成后一次性发送
max_context_message_length = 20
max_core_message_length = 30

2
src/mais4u/config/s4u_config_template.toml
View File

@@ -34,5 +34,7 @@ max_typing_delay = 2.0 # 最大打字延迟（秒）
enable_old_message_cleanup = true # 是否自动清理过旧的普通消息
enable_loading_indicator = true # 是否显示加载提示
enable_streaming_output = true # 是否启用流式输出，false时全部生成后一次性发送
max_context_message_length = 20
max_core_message_length = 30

2
src/mais4u/mais4u_chat/gift_manager.py
View File

@@ -23,7 +23,7 @@ class GiftManager:
def __init__(self):
"""初始化礼物管理器"""
self.pending_gifts: Dict[Tuple[str, str], PendingGift] = {}
self.debounce_timeout = 3.0 # 3秒防抖时间
self.debounce_timeout = 5.0 # 3秒防抖时间
async def handle_gift(self, message: MessageRecvS4U, callback: Optional[Callable[[MessageRecvS4U], None]] = None) -> bool:
"""处理礼物消息，返回是否应该立即处理

82
src/mais4u/mais4u_chat/s4u_chat.py
View File

@@ -34,6 +34,10 @@ class MessageSenderContainer:
self._paused_event = asyncio.Event()
self._paused_event.set() # 默认设置为非暂停状态
self.msg_id = ""
self.voice_done = ""
async def add_message(self, chunk: str):
"""向队列中添加一个消息块。"""
@@ -84,14 +88,9 @@ class MessageSenderContainer:
delay = s4u_config.typing_delay
await asyncio.sleep(delay)
current_time = time.time()
msg_id = f"{current_time}_{random.randint(1000, 9999)}"
text_to_send = chunk
message_segment = Seg(type="text", data=text_to_send)
message_segment = Seg(type="tts_text", data=f"{self.msg_id}:{chunk}")
bot_message = MessageSending(
message_id=msg_id,
message_id=self.msg_id,
chat_stream=self.chat_stream,
bot_user_info=UserInfo(
user_id=global_config.bot.qq_account,
@@ -109,7 +108,25 @@ class MessageSenderContainer:
await bot_message.process()
await get_global_api().send_message(bot_message)
logger.info(f"已将消息 '{text_to_send}' 发往平台 '{bot_message.message_info.platform}'")
logger.info(f"已将消息 '{self.msg_id}:{chunk}' 发往平台 '{bot_message.message_info.platform}'")
message_segment = Seg(type="text", data=chunk)
bot_message = MessageSending(
message_id=self.msg_id,
chat_stream=self.chat_stream,
bot_user_info=UserInfo(
user_id=global_config.bot.qq_account,
user_nickname=global_config.bot.nickname,
platform=self.original_message.message_info.platform,
),
sender_info=self.original_message.message_info.user_info,
message_segment=message_segment,
reply=self.original_message,
is_emoji=False,
apply_set_reply_logic=True,
reply_to=f"{self.original_message.message_info.user_info.platform}:{self.original_message.message_info.user_info.user_id}",
)
await bot_message.process()
await self.storage.store_message(bot_message, self.chat_stream)
@@ -175,6 +192,10 @@ class S4UChat:
self.gpt = S4UStreamGenerator()
self.interest_dict: Dict[str, float] = {} # 用户兴趣分
self.msg_id = ""
self.voice_done = ""
logger.info(f"[{self.stream_name}] S4UChat with two-queue system initialized.")
def _get_priority_info(self, message: MessageRecv) -> dict:
@@ -198,7 +219,10 @@ class S4UChat:
"""获取用户的兴趣分，默认为1.0"""
return self.interest_dict.get(user_id, 1.0)
def go_processing(self):
if self.voice_done == self.msg_id:
return True
return False
def _calculate_base_priority_score(self, message: MessageRecv, priority_info: dict) -> float:
"""
@@ -414,44 +438,58 @@ class S4UChat:
chat_watching = watching_manager.get_watching_by_chat_id(self.stream_id)
await chat_watching.on_message_received()
def get_processing_message_id(self):
self.msg_id = f"{time.time()}_{random.randint(1000, 9999)}"
async def _generate_and_send(self, message: MessageRecv):
"""为单个消息生成文本回复。整个过程可以被中断。"""
self._is_replying = True
total_chars_sent = 0 # 跟踪发送的总字符数
self.get_processing_message_id()
if s4u_config.enable_loading_indicator:
await send_loading(self.stream_id, "......")
await send_loading(self.stream_id, ".........")
# 视线管理：开始生成回复时切换视线状态
chat_watching = watching_manager.get_watching_by_chat_id(self.stream_id)
asyncio.create_task(self.delay_change_watching_state())
sender_container = MessageSenderContainer(self.chat_stream, message)
sender_container.start()
try:
logger.info(f"[S4U] 开始为消息生成文本和音频流: '{message.processed_plain_text[:30]}...'")
# 1. 逐句生成文本、发送
if s4u_config.enable_streaming_output:
# 流式输出，边生成边发送
gen = self.gpt.generate_response(message, "")
async for chunk in gen:
# 如果任务被取消，await 会在此处引发 CancelledError
# a. 发送文本块
sender_container.msg_id = self.msg_id
await sender_container.add_message(chunk)
total_chars_sent += len(chunk) # 累计字符数
total_chars_sent += len(chunk)
else:
# 一次性输出，先收集所有chunk
all_chunks = []
gen = self.gpt.generate_response(message, "")
async for chunk in gen:
all_chunks.append(chunk)
total_chars_sent += len(chunk)
# 一次性发送
sender_container.msg_id = self.msg_id
await sender_container.add_message("".join(all_chunks))
# 等待所有文本消息发送完成
await sender_container.close()
await sender_container.join()
# 回复完成后延迟，每个字延迟0.4秒
if total_chars_sent > 0:
delay_time = total_chars_sent * 0.4
logger.info(f"[{self.stream_name}] 回复完成，共发送 {total_chars_sent} 个字符，等待 {delay_time:.1f} 秒后继续处理下一个消息。")
await asyncio.sleep(delay_time)
start_time = time.time()
while not self.go_processing():
if time.time() - start_time > 60:
logger.warning(f"[{self.stream_name}] 等待消息发送超时（60秒），强制跳出循环。")
break
logger.info(f"[{self.stream_name}] 等待消息发送完成...")
await asyncio.sleep(0.3)
logger.info(f"[{self.stream_name}] 所有文本块处理完毕。")

15
src/mais4u/mais4u_chat/s4u_msg_processor.py
View File

@@ -93,6 +93,9 @@ class S4UMessageProcessor:
group_info=groupinfo,
)
if await self.hadle_if_voice_done(message):
return
# 处理礼物消息，如果消息被暂存则停止当前处理流程
if not skip_gift_debounce and not await self.handle_if_gift(message):
return
@@ -107,6 +110,7 @@ class S4UMessageProcessor:
s4u_chat = get_s4u_chat_manager().get_or_create_chat(chat)
await s4u_chat.add_message(message)
_interested_rate, _ = await _calculate_interest(message)
@@ -139,14 +143,21 @@ class S4UMessageProcessor:
return True
return False
async def hadle_if_voice_done(self, message: MessageRecvS4U):
if message.voice_done:
s4u_chat = get_s4u_chat_manager().get_or_create_chat(message.chat_stream)
s4u_chat.voice_done = message.voice_done
return True
return False
async def check_if_fake_gift(self, message: MessageRecvS4U) -> bool:
"""检查消息是否为假礼物"""
if message.is_gift:
return False
gift_keywords = ["送出了礼物", "礼物", "送出了"]
gift_keywords = ["送出了礼物", "礼物", "送出了","投喂"]
if any(keyword in message.processed_plain_text for keyword in gift_keywords):
message.processed_plain_text += "（注意：这是一条普通弹幕信息，对方没有真的发送礼物，不是礼物信息，注意区分）"
message.is_fake_gift = True
return True
return False

77
src/mais4u/mais4u_chat/s4u_prompt.py
View File

@@ -16,6 +16,7 @@ from src.person_info.relationship_manager import get_relationship_manager
from src.chat.message_receive.chat_stream import ChatStream
from src.mais4u.mais4u_chat.super_chat_manager import get_super_chat_manager
from src.mais4u.mais4u_chat.screen_manager import screen_manager
from src.chat.express.expression_selector import expression_selector
logger = get_logger("prompt")
@@ -36,6 +37,7 @@ def init_prompt():
{relation_info_block}
{memory_block}
{expression_habits_block}
你现在的主要任务是和 {sender_name} 发送的弹幕聊天。同时，也有其他用户会参与你们的聊天，你可以参考他们的回复内容，但是你主要还是关注你和{sender_name}的聊天内容。
@@ -50,6 +52,7 @@ def init_prompt():
对方最新发送的内容：{message_txt}
{gift_info}
回复可以简短一些。可以参考贴吧，知乎和微博的回复风格，回复不要浮夸，不要用夸张修辞，平淡一些。
表现的有个性，不要随意服从他人要求，积极互动。
不要输出多余内容(包括前后缀，冒号和引号，括号()，表情包，at或 @等 )。只输出回复内容，现在{sender_name}正在等待你的回复。
你的回复风格不要浮夸，有逻辑和条理，请你继续回复{sender_name}。
你的发言：
@@ -63,32 +66,42 @@ class PromptBuilder:
self.prompt_built = ""
self.activate_messages = ""
async def build_identity_block(self) -> str:
person_info_manager = get_person_info_manager()
bot_person_id = person_info_manager.get_person_id("system", "bot_id")
bot_name = global_config.bot.nickname
if global_config.bot.alias_names:
bot_nickname = f",也有人叫你{','.join(global_config.bot.alias_names)}"
else:
bot_nickname = ""
short_impression = await person_info_manager.get_value(bot_person_id, "short_impression")
try:
if isinstance(short_impression, str) and short_impression.strip():
short_impression = ast.literal_eval(short_impression)
elif not short_impression:
logger.warning("short_impression为空，使用默认值")
short_impression = ["友好活泼", "人类"]
except (ValueError, SyntaxError) as e:
logger.error(f"解析short_impression失败: {e}, 原始值: {short_impression}")
short_impression = ["友好活泼", "人类"]
if not isinstance(short_impression, list) or len(short_impression) < 2:
logger.warning(f"short_impression格式不正确: {short_impression}, 使用默认值")
short_impression = ["友好活泼", "人类"]
personality = short_impression[0]
identity = short_impression[1]
prompt_personality = personality + "，" + identity
return f"你的名字是{bot_name}{bot_nickname}，你{prompt_personality}："
async def build_expression_habits(self, chat_stream: ChatStream, chat_history, target):
style_habits = []
grammar_habits = []
# 使用从处理器传来的选中表达方式
# LLM模式：调用LLM选择5-10个，然后随机选5个
selected_expressions = await expression_selector.select_suitable_expressions_llm(
chat_stream.stream_id, chat_history, max_num=12, min_num=5, target_message=target
)
if selected_expressions:
logger.debug(f" 使用处理器选中的{len(selected_expressions)}个表达方式")
for expr in selected_expressions:
if isinstance(expr, dict) and "situation" in expr and "style" in expr:
expr_type = expr.get("type", "style")
if expr_type == "grammar":
grammar_habits.append(f"当{expr['situation']}时，使用 {expr['style']}")
else:
style_habits.append(f"当{expr['situation']}时，使用 {expr['style']}")
else:
logger.debug("没有从处理器获得表达方式，将使用空的表达方式")
# 不再在replyer中进行随机选择，全部交给处理器处理
style_habits_str = "\n".join(style_habits)
grammar_habits_str = "\n".join(grammar_habits)
# 动态构建expression habits块
expression_habits_block = ""
if style_habits_str.strip():
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_habits_str}\n\n"
if grammar_habits_str.strip():
expression_habits_block += f"请你根据情景使用以下句法：\n{grammar_habits_str}\n"
return expression_habits_block
async def build_relation_info(self, chat_stream) -> str:
is_group_chat = bool(chat_stream.group_info)
@@ -149,8 +162,10 @@ class PromptBuilder:
if msg_user_id == bot_id:
if msg_dict.get("reply_to") and talk_type == msg_dict.get("reply_to"):
core_dialogue_list.append(msg_dict)
else:
elif msg_dict.get("reply_to") and talk_type != msg_dict.get("reply_to"):
background_dialogue_list.append(msg_dict)
# else:
# background_dialogue_list.append(msg_dict)
elif msg_user_id == target_user_id:
core_dialogue_list.append(msg_dict)
else:
@@ -210,6 +225,10 @@ class PromptBuilder:
def build_gift_info(self, message: MessageRecvS4U):
if message.is_gift:
return f"这是一条礼物信息，{message.gift_name} x{message.gift_count}，请注意这位用户"
else:
if message.is_fake_gift:
return f"{message.processed_plain_text}（注意：这是一条普通弹幕信息，对方没有真的发送礼物，不是礼物信息，注意区分，如果对方在发假的礼物骗你，请反击）"
return ""
def build_sc_info(self, message: MessageRecvS4U):
@@ -223,8 +242,8 @@ class PromptBuilder:
message_txt: str,
sender_name: str = "某人",
) -> str:
identity_block, relation_info_block, memory_block = await asyncio.gather(
self.build_identity_block(), self.build_relation_info(chat_stream), self.build_memory_block(message_txt)
relation_info_block, memory_block, expression_habits_block = await asyncio.gather(
self.build_relation_info(chat_stream), self.build_memory_block(message_txt), self.build_expression_habits(chat_stream, message_txt, sender_name)
)
core_dialogue_prompt, background_dialogue_prompt = self.build_chat_history_prompts(chat_stream, message)
@@ -241,8 +260,8 @@ class PromptBuilder:
prompt = await global_prompt_manager.format_prompt(
template_name,
identity_block=identity_block,
time_block=time_block,
expression_habits_block=expression_habits_block,
relation_info_block=relation_info_block,
memory_block=memory_block,
screen_info=screen_info,

3
src/mais4u/mais4u_chat/s4u_stream_generator.py
View File

@@ -62,7 +62,10 @@ class S4UStreamGenerator:
person_name = await person_info_manager.get_value(person_id, "person_name")
if message.chat_stream.user_info.user_nickname:
if person_name:
sender_name = f"[{message.chat_stream.user_info.user_nickname}]（你叫ta{person_name}）"
else:
sender_name = f"[{message.chat_stream.user_info.user_nickname}]"
else:
sender_name = f"用户({message.chat_stream.user_info.user_id})"

3
src/mais4u/s4u_config.py
View File

@@ -167,6 +167,9 @@ class S4UConfig(S4UConfigBase):
enable_loading_indicator: bool = True
"""是否显示加载提示"""
enable_streaming_output: bool = True
"""是否启用流式输出，false时全部生成后一次性发送"""
max_context_message_length: int = 20
"""上下文消息最大长度"""

9
src/plugin_system/apis/send_api.py
View File

@@ -370,7 +370,14 @@ async def custom_to_stream(
bool: 是否发送成功
"""
return await _send_to_target(
message_type, content, stream_id, display_message, typing, reply_to, storage_message, show_log
message_type=message_type,
content=content,
stream_id=stream_id,
display_message=display_message,
typing=typing,
reply_to=reply_to,
storage_message=storage_message,
show_log=show_log,
)