gardel/Mofox-Core
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

better 配置文件整理,防止眼花

Browse Source 
123
This commit is contained in:
SengokuCola
2025-03-25 21:59:15 +08:00
parent 4e7efb4271
commit c220f4c79e
7 changed files with 446 additions and 148 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
src/plugins/chat/__init__.py
View File

@@ -77,7 +77,7 @@ async def start_background_tasks():
logger.success("心流系统启动成功")
# 只启动表情包管理任务
asyncio.create_task(emoji_manager.start_periodic_check(interval_MINS=global_config.EMOJI_CHECK_INTERVAL))
asyncio.create_task(emoji_manager.start_periodic_check())
await bot_schedule.initialize()
bot_schedule.print_schedule()
@@ -105,7 +105,7 @@ async def _(bot: Bot):
_message_manager_started = True
logger.success("-----------消息处理器已启动！-----------")
asyncio.create_task(emoji_manager._periodic_scan(interval_MINS=global_config.EMOJI_REGISTER_INTERVAL))
asyncio.create_task(emoji_manager._periodic_scan())
logger.success("-----------开始偷表情包！-----------")
asyncio.create_task(chat_manager._initialize())
asyncio.create_task(chat_manager._auto_save_task())

3
src/plugins/chat/bot.py
View File

@@ -57,9 +57,6 @@ class ChatBot:
self.mood_manager = MoodManager.get_instance() # 获取情绪管理器单例
self.mood_manager.start_mood_update() # 启动情绪更新
self.emoji_chance = 0.2 # 发送表情包的基础概率
# self.message_streams = MessageStreamContainer()
async def _ensure_started(self):
"""确保所有任务已启动"""
if not self._started:

208
src/plugins/chat/config.py
View File

@@ -17,40 +17,99 @@ class BotConfig:
"""机器人配置类"""
INNER_VERSION: Version = None
BOT_QQ: Optional[int] = 1
MAI_VERSION: Version = None
# bot
BOT_QQ: Optional[int] = 114514
BOT_NICKNAME: Optional[str] = None
BOT_ALIAS_NAMES: List[str] = field(default_factory=list) # 别名，可以通过这个叫它
# 消息处理相关配置
MIN_TEXT_LENGTH: int = 2 # 最小处理文本长度
MAX_CONTEXT_SIZE: int = 15 # 上下文最大消息数
emoji_chance: float = 0.2 # 发送表情包的基础概率
ENABLE_PIC_TRANSLATE: bool = True # 是否启用图片翻译
# group
talk_allowed_groups = set()
talk_frequency_down_groups = set()
thinking_timeout: int = 100 # 思考时间
ban_user_id = set()
#personality
PROMPT_PERSONALITY = [
"用一句话或几句话描述性格特点和其他特征",
"例如，是一个热爱国家热爱党的新时代好青年",
"例如，曾经是一个学习地质的女大学生，现在学习心理学和脑科学，你会刷贴吧"
]
PERSONALITY_1: float = 0.6 # 第一种人格概率
PERSONALITY_2: float = 0.3 # 第二种人格概率
PERSONALITY_3: float = 0.1 # 第三种人格概率
# schedule
ENABLE_SCHEDULE_GEN: bool = False # 是否启用日程生成
PROMPT_SCHEDULE_GEN = "无日程"
# message
MAX_CONTEXT_SIZE: int = 15 # 上下文最大消息数
emoji_chance: float = 0.2 # 发送表情包的基础概率
thinking_timeout: int = 120 # 思考时间
max_response_length: int = 1024 # 最大回复长度
ban_words = set()
ban_msgs_regex = set()
# willing
willing_mode: str = "classical" # 意愿模式
response_willing_amplifier: float = 1.0 # 回复意愿放大系数
response_interested_rate_amplifier: float = 1.0 # 回复兴趣度放大系数
down_frequency_rate: float = 3.5 # 降低回复频率的群组回复意愿降低系数
ban_user_id = set()
down_frequency_rate: float = 3 # 降低回复频率的群组回复意愿降低系数
# response
MODEL_R1_PROBABILITY: float = 0.8 # R1模型概率
MODEL_V3_PROBABILITY: float = 0.1 # V3模型概率
MODEL_R1_DISTILL_PROBABILITY: float = 0.1 # R1蒸馏模型概率
# emoji
EMOJI_CHECK_INTERVAL: int = 120 # 表情包检查间隔（分钟）
EMOJI_REGISTER_INTERVAL: int = 10 # 表情包注册间隔（分钟）
EMOJI_SAVE: bool = True # 偷表情包
EMOJI_CHECK: bool = False # 是否开启过滤
EMOJI_CHECK_PROMPT: str = "符合公序良俗" # 表情包过滤要求
ban_words = set()
ban_msgs_regex = set()
# memory
build_memory_interval: int = 600 # 记忆构建间隔（秒）
memory_build_distribution: list = field(
default_factory=lambda: [4,2,0.6,24,8,0.4]
) # 记忆构建分布，参数：分布1均值，标准差，权重，分布2均值，标准差，权重
build_memory_sample_num: int = 10 # 记忆构建采样数量
build_memory_sample_length: int = 20 # 记忆构建采样长度
memory_compress_rate: float = 0.1 # 记忆压缩率
forget_memory_interval: int = 600 # 记忆遗忘间隔（秒）
memory_forget_time: int = 24 # 记忆遗忘时间（小时）
memory_forget_percentage: float = 0.01 # 记忆遗忘比例
memory_ban_words: list = field(
default_factory=lambda: ["表情包", "图片", "回复", "聊天记录"]
) # 添加新的配置项默认值
max_response_length: int = 1024 # 最大回复长度
# mood
mood_update_interval: float = 1.0 # 情绪更新间隔 单位秒
mood_decay_rate: float = 0.95 # 情绪衰减率
mood_intensity_factor: float = 0.7 # 情绪强度因子
# keywords
keywords_reaction_rules = [] # 关键词回复规则
# chinese_typo
chinese_typo_enable = True # 是否启用中文错别字生成器
chinese_typo_error_rate = 0.03 # 单字替换概率
chinese_typo_min_freq = 7 # 最小字频阈值
chinese_typo_tone_error_rate = 0.2 # 声调错误概率
chinese_typo_word_replace_rate = 0.02 # 整词替换概率
remote_enable: bool = False # 是否启用远程控制
# remote
remote_enable: bool = True # 是否启用远程控制
# experimental
enable_friend_chat: bool = False # 是否启用好友聊天
enable_think_flow: bool = False # 是否启用思考流程
# 模型配置
llm_reasoning: Dict[str, str] = field(default_factory=lambda: {})
@@ -59,61 +118,13 @@ class BotConfig:
llm_topic_judge: Dict[str, str] = field(default_factory=lambda: {})
llm_summary_by_topic: Dict[str, str] = field(default_factory=lambda: {})
llm_emotion_judge: Dict[str, str] = field(default_factory=lambda: {})
llm_outer_world: Dict[str, str] = field(default_factory=lambda: {})
embedding: Dict[str, str] = field(default_factory=lambda: {})
vlm: Dict[str, str] = field(default_factory=lambda: {})
moderation: Dict[str, str] = field(default_factory=lambda: {})
MODEL_R1_PROBABILITY: float = 0.8 # R1模型概率
MODEL_V3_PROBABILITY: float = 0.1 # V3模型概率
MODEL_R1_DISTILL_PROBABILITY: float = 0.1 # R1蒸馏模型概率
# 实验性
llm_outer_world: Dict[str, str] = field(default_factory=lambda: {})
# enable_advance_output: bool = False # 是否启用高级输出
enable_kuuki_read: bool = True # 是否启用读空气功能
# enable_debug_output: bool = False # 是否启用调试输出
enable_friend_chat: bool = False # 是否启用好友聊天
mood_update_interval: float = 1.0 # 情绪更新间隔 单位秒
mood_decay_rate: float = 0.95 # 情绪衰减率
mood_intensity_factor: float = 0.7 # 情绪强度因子
willing_mode: str = "classical" # 意愿模式
keywords_reaction_rules = [] # 关键词回复规则
chinese_typo_enable = True # 是否启用中文错别字生成器
chinese_typo_error_rate = 0.03 # 单字替换概率
chinese_typo_min_freq = 7 # 最小字频阈值
chinese_typo_tone_error_rate = 0.2 # 声调错误概率
chinese_typo_word_replace_rate = 0.02 # 整词替换概率
# 默认人设
PROMPT_PERSONALITY = [
"曾经是一个学习地质的女大学生，现在学习心理学和脑科学，你会刷贴吧",
"是一个女大学生，你有黑色头发，你会刷小红书",
"是一个女大学生，你会刷b站，对ACG文化感兴趣",
]
PROMPT_SCHEDULE_GEN = "一个曾经学习地质,现在学习心理学和脑科学的女大学生，喜欢刷qq，贴吧，知乎和小红书"
PERSONALITY_1: float = 0.6 # 第一种人格概率
PERSONALITY_2: float = 0.3 # 第二种人格概率
PERSONALITY_3: float = 0.1 # 第三种人格概率
build_memory_interval: int = 600 # 记忆构建间隔（秒）
forget_memory_interval: int = 600 # 记忆遗忘间隔（秒）
memory_forget_time: int = 24 # 记忆遗忘时间（小时）
memory_forget_percentage: float = 0.01 # 记忆遗忘比例
memory_compress_rate: float = 0.1 # 记忆压缩率
build_memory_sample_num: int = 10 # 记忆构建采样数量
build_memory_sample_length: int = 20 # 记忆构建采样长度
memory_build_distribution: list = field(
default_factory=lambda: [4,2,0.6,24,8,0.4]
) # 记忆构建分布，参数：分布1均值，标准差，权重，分布2均值，标准差，权重
memory_ban_words: list = field(
default_factory=lambda: ["表情包", "图片", "回复", "聊天记录"]
) # 添加新的配置项默认值
@staticmethod
def get_config_dir() -> str:
@@ -184,13 +195,17 @@ class BotConfig:
if len(personality) >= 2:
logger.debug(f"载入自定义人格:{personality}")
config.PROMPT_PERSONALITY = personality_config.get("prompt_personality", config.PROMPT_PERSONALITY)
logger.info(f"载入自定义日程prompt:{personality_config.get('prompt_schedule', config.PROMPT_SCHEDULE_GEN)}")
config.PROMPT_SCHEDULE_GEN = personality_config.get("prompt_schedule", config.PROMPT_SCHEDULE_GEN)
if config.INNER_VERSION in SpecifierSet(">=0.0.2"):
config.PERSONALITY_1 = personality_config.get("personality_1_probability", config.PERSONALITY_1)
config.PERSONALITY_2 = personality_config.get("personality_2_probability", config.PERSONALITY_2)
config.PERSONALITY_3 = personality_config.get("personality_3_probability", config.PERSONALITY_3)
def schedule(parent: dict):
schedule_config = parent["schedule"]
config.ENABLE_SCHEDULE_GEN = schedule_config.get("enable_schedule_gen", config.ENABLE_SCHEDULE_GEN)
config.PROMPT_SCHEDULE_GEN = schedule_config.get("prompt_schedule_gen", config.PROMPT_SCHEDULE_GEN)
logger.info(f"载入自定义日程prompt:{schedule_config.get('prompt_schedule_gen', config.PROMPT_SCHEDULE_GEN)}")
def emoji(parent: dict):
emoji_config = parent["emoji"]
@@ -200,10 +215,6 @@ class BotConfig:
config.EMOJI_SAVE = emoji_config.get("auto_save", config.EMOJI_SAVE)
config.EMOJI_CHECK = emoji_config.get("enable_check", config.EMOJI_CHECK)
def cq_code(parent: dict):
cq_code_config = parent["cq_code"]
config.ENABLE_PIC_TRANSLATE = cq_code_config.get("enable_pic_translate", config.ENABLE_PIC_TRANSLATE)
def bot(parent: dict):
# 机器人基础配置
bot_config = parent["bot"]
@@ -226,6 +237,11 @@ class BotConfig:
def willing(parent: dict):
willing_config = parent["willing"]
config.willing_mode = willing_config.get("willing_mode", config.willing_mode)
if config.INNER_VERSION in SpecifierSet(">=0.0.11"):
config.response_willing_amplifier = willing_config.get("response_willing_amplifier", config.response_willing_amplifier)
config.response_interested_rate_amplifier = willing_config.get("response_interested_rate_amplifier", config.response_interested_rate_amplifier)
config.down_frequency_rate = willing_config.get("down_frequency_rate", config.down_frequency_rate)
def model(parent: dict):
# 加载模型配置
@@ -238,10 +254,10 @@ class BotConfig:
"llm_topic_judge",
"llm_summary_by_topic",
"llm_emotion_judge",
"llm_outer_world",
"vlm",
"embedding",
"moderation",
"llm_outer_world",
]
for item in config_list:
@@ -282,12 +298,11 @@ class BotConfig:
# 如果 列表中的项目在 model_config 中，利用反射来设置对应项目
setattr(config, item, cfg_target)
else:
logger.error(f"模型 {item} 在config中不存在，请检查")
raise KeyError(f"模型 {item} 在config中不存在，请检查")
logger.error(f"模型 {item} 在config中不存在，请检查，或尝试更新配置文件")
raise KeyError(f"模型 {item} 在config中不存在，请检查，或尝试更新配置文件")
def message(parent: dict):
msg_config = parent["message"]
config.MIN_TEXT_LENGTH = msg_config.get("min_text_length", config.MIN_TEXT_LENGTH)
config.MAX_CONTEXT_SIZE = msg_config.get("max_context_size", config.MAX_CONTEXT_SIZE)
config.emoji_chance = msg_config.get("emoji_chance", config.emoji_chance)
config.ban_words = msg_config.get("ban_words", config.ban_words)
@@ -304,7 +319,9 @@ class BotConfig:
if config.INNER_VERSION in SpecifierSet(">=0.0.6"):
config.ban_msgs_regex = msg_config.get("ban_msgs_regex", config.ban_msgs_regex)
if config.INNER_VERSION in SpecifierSet(">=0.0.11"):
config.max_response_length = msg_config.get("max_response_length", config.max_response_length)
def memory(parent: dict):
memory_config = parent["memory"]
config.build_memory_interval = memory_config.get("build_memory_interval", config.build_memory_interval)
@@ -368,13 +385,9 @@ class BotConfig:
config.talk_frequency_down_groups = set(groups_config.get("talk_frequency_down", []))
config.ban_user_id = set(groups_config.get("ban_user_id", []))
def others(parent: dict):
others_config = parent["others"]
# config.enable_advance_output = others_config.get("enable_advance_output", config.enable_advance_output)
config.enable_kuuki_read = others_config.get("enable_kuuki_read", config.enable_kuuki_read)
if config.INNER_VERSION in SpecifierSet(">=0.0.7"):
# config.enable_debug_output = others_config.get("enable_debug_output", config.enable_debug_output)
config.enable_friend_chat = others_config.get("enable_friend_chat", config.enable_friend_chat)
def experimental(parent: dict):
experimental_config = parent["experimental"]
config.enable_friend_chat = experimental_config.get("enable_friend_chat", config.enable_friend_chat)
# 版本表达式：>=1.0.0,<2.0.0
# 允许字段：func: method, support: str, notice: str, necessary: bool
@@ -382,21 +395,21 @@ class BotConfig:
# 例如："notice": "personality 将在 1.3.2 后被移除"，那么在有效版本中的用户就会虽然可以
# 正常执行程序，但是会看到这条自定义提示
include_configs = {
"personality": {"func": personality, "support": ">=0.0.0"},
"emoji": {"func": emoji, "support": ">=0.0.0"},
"cq_code": {"func": cq_code, "support": ">=0.0.0"},
"bot": {"func": bot, "support": ">=0.0.0"},
"response": {"func": response, "support": ">=0.0.0"},
"willing": {"func": willing, "support": ">=0.0.9", "necessary": False},
"model": {"func": model, "support": ">=0.0.0"},
"groups": {"func": groups, "support": ">=0.0.0"},
"personality": {"func": personality, "support": ">=0.0.0"},
"schedule": {"func": schedule, "support": ">=0.0.11", "necessary": False},
"message": {"func": message, "support": ">=0.0.0"},
"willing": {"func": willing, "support": ">=0.0.9", "necessary": False},
"emoji": {"func": emoji, "support": ">=0.0.0"},
"response": {"func": response, "support": ">=0.0.0"},
"model": {"func": model, "support": ">=0.0.0"},
"memory": {"func": memory, "support": ">=0.0.0", "necessary": False},
"mood": {"func": mood, "support": ">=0.0.0"},
"remote": {"func": remote, "support": ">=0.0.10", "necessary": False},
"keywords_reaction": {"func": keywords_reaction, "support": ">=0.0.2", "necessary": False},
"chinese_typo": {"func": chinese_typo, "support": ">=0.0.3", "necessary": False},
"groups": {"func": groups, "support": ">=0.0.0"},
"others": {"func": others, "support": ">=0.0.0"},
"experimental": {"func": experimental, "support": ">=0.0.11", "necessary": False},
}
# 原地修改，将 字符串版本表达式 转换成 版本对象
@@ -454,14 +467,13 @@ class BotConfig:
# 获取配置文件路径
bot_config_floder_path = BotConfig.get_config_dir()
logger.debug(f"正在品鉴配置文件目录: {bot_config_floder_path}")
logger.info(f"正在品鉴配置文件目录: {bot_config_floder_path}")
bot_config_path = os.path.join(bot_config_floder_path, "bot_config.toml")
if os.path.exists(bot_config_path):
# 如果开发环境配置文件不存在，则使用默认配置文件
logger.debug(f"异常的新鲜，异常的美味: {bot_config_path}")
logger.info("使用bot配置文件")
logger.info(f"异常的新鲜，异常的美味: {bot_config_path}")
else:
# 配置文件不存在
logger.error("配置文件不存在，请检查路径: {bot_config_path}")

8
src/plugins/chat/emoji_manager.py
View File

@@ -340,12 +340,12 @@ class EmojiManager:
except Exception:
logger.exception("[错误] 扫描表情包失败")
async def _periodic_scan(self, interval_MINS: int = 10):
async def _periodic_scan(self):
"""定期扫描新表情包"""
while True:
logger.info("[扫描] 开始扫描新表情包...")
await self.scan_new_emojis()
await asyncio.sleep(interval_MINS * 60) # 每600秒扫描一次
await asyncio.sleep(global_config.EMOJI_CHECK_INTERVAL * 60)
def check_emoji_file_integrity(self):
"""检查表情包文件完整性
@@ -418,10 +418,10 @@ class EmojiManager:
logger.error(f"[错误] 检查表情包完整性失败: {str(e)}")
logger.error(traceback.format_exc())
async def start_periodic_check(self, interval_MINS: int = 120):
async def start_periodic_check(self):
while True:
self.check_emoji_file_integrity()
await asyncio.sleep(interval_MINS * 60)
await asyncio.sleep(global_config.EMOJI_CHECK_INTERVAL * 60)
# 创建全局单例