diff --git a/changes.md b/changes.md new file mode 100644 index 000000000..85760965f --- /dev/null +++ b/changes.md @@ -0,0 +1,18 @@ +# 插件API与规范修改 + +1. 现在`plugin_system`的`__init__.py`文件中包含了所有插件API的导入,用户可以直接使用`from plugin_system import *`来导入所有API。 + +2. register_plugin函数现在转移到了`plugin_system.apis.plugin_register_api`模块中,用户可以通过`from plugin_system.apis.plugin_register_api import register_plugin`来导入。 + +3. 现在强制要求的property如下: + - `plugin_name`: 插件名称,必须是唯一的。(与文件夹相同) + - `enable_plugin`: 是否启用插件,默认为`True`。 + - `dependencies`: 插件依赖的其他插件列表,默认为空。**现在并不检查(也许)** + - `python_dependencies`: 插件依赖的Python包列表,默认为空。**现在并不检查** + - `config_file_name`: 插件配置文件名,默认为`config.toml`。 + - `config_schema`: 插件配置文件的schema,用于自动生成配置文件。 + +# 插件系统修改 +1. 现在所有的匹配模式不再是关键字了,而是枚举类。**(可能有遗漏)** +2. 修复了一下显示插件信息不显示的问题。同时精简了一下显示内容 +3. 修复了插件系统混用了`plugin_name`和`display_name`的问题。现在所有的插件信息都使用`display_name`来显示,而内部标识仍然使用`plugin_name`。**(可能有遗漏)** \ No newline at end of file diff --git a/plugins/hello_world_plugin/plugin.py b/plugins/hello_world_plugin/plugin.py index eaca35489..dc9b8571c 100644 --- a/plugins/hello_world_plugin/plugin.py +++ b/plugins/hello_world_plugin/plugin.py @@ -103,6 +103,8 @@ class HelloWorldPlugin(BasePlugin): # 插件基本信息 plugin_name = "hello_world_plugin" # 内部标识符 enable_plugin = True + dependencies = [] # 插件依赖列表 + python_dependencies = [] # Python包依赖列表 config_file_name = "config.toml" # 配置文件名 # 配置节描述 diff --git a/plugins/take_picture_plugin/plugin.py b/plugins/take_picture_plugin/plugin.py index 5be4bf438..bbe189526 100644 --- a/plugins/take_picture_plugin/plugin.py +++ b/plugins/take_picture_plugin/plugin.py @@ -36,11 +36,12 @@ import urllib.error import base64 import traceback -from src.plugin_system.base.base_plugin import BasePlugin, register_plugin +from src.plugin_system.base.base_plugin import BasePlugin from src.plugin_system.base.base_action import BaseAction from src.plugin_system.base.base_command import BaseCommand from src.plugin_system.base.component_types import ComponentInfo, ActionActivationType, ChatMode from src.plugin_system.base.config_types import ConfigField +from src.plugin_system import register_plugin from src.common.logger import get_logger logger = get_logger("take_picture_plugin") @@ -442,6 +443,8 @@ class TakePicturePlugin(BasePlugin): plugin_name = "take_picture_plugin" # 内部标识符 enable_plugin = True + dependencies = [] # 插件依赖列表 + python_dependencies = [] # Python包依赖列表 config_file_name = "config.toml" # 配置节描述 diff --git a/src/api/__init__.py b/src/api/__init__.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/src/api/apiforgui.py b/src/api/apiforgui.py deleted file mode 100644 index 058c6fc96..000000000 --- a/src/api/apiforgui.py +++ /dev/null @@ -1,26 +0,0 @@ -from src.chat.heart_flow.heartflow import heartflow -from src.chat.heart_flow.sub_heartflow import ChatState -from src.common.logger import get_logger - -logger = get_logger("api") - - -async def get_all_subheartflow_ids() -> list: - """获取所有子心流的ID列表""" - all_subheartflows = heartflow.subheartflow_manager.get_all_subheartflows() - return [subheartflow.subheartflow_id for subheartflow in all_subheartflows] - - -async def forced_change_subheartflow_status(subheartflow_id: str, status: ChatState) -> bool: - """强制改变子心流的状态""" - subheartflow = await heartflow.get_or_create_subheartflow(subheartflow_id) - if subheartflow: - return await heartflow.force_change_subheartflow_status(subheartflow_id, status) - return False - - -async def get_all_states(): - """获取所有状态""" - all_states = await heartflow.api_get_all_states() - logger.debug(f"所有状态: {all_states}") - return all_states diff --git a/src/api/basic_info_api.py b/src/api/basic_info_api.py deleted file mode 100644 index 4e5fa4c7d..000000000 --- a/src/api/basic_info_api.py +++ /dev/null @@ -1,169 +0,0 @@ -import platform -import psutil -import sys -import os - - -def get_system_info(): - """获取操作系统信息""" - return { - "system": platform.system(), - "release": platform.release(), - "version": platform.version(), - "machine": platform.machine(), - "processor": platform.processor(), - } - - -def get_python_version(): - """获取 Python 版本信息""" - return sys.version - - -def get_cpu_usage(): - """获取系统总CPU使用率""" - return psutil.cpu_percent(interval=1) - - -def get_process_cpu_usage(): - """获取当前进程CPU使用率""" - process = psutil.Process(os.getpid()) - return process.cpu_percent(interval=1) - - -def get_memory_usage(): - """获取系统内存使用情况 (单位 MB)""" - mem = psutil.virtual_memory() - bytes_to_mb = lambda x: round(x / (1024 * 1024), 2) # noqa - return { - "total_mb": bytes_to_mb(mem.total), - "available_mb": bytes_to_mb(mem.available), - "percent": mem.percent, - "used_mb": bytes_to_mb(mem.used), - "free_mb": bytes_to_mb(mem.free), - } - - -def get_process_memory_usage(): - """获取当前进程内存使用情况 (单位 MB)""" - process = psutil.Process(os.getpid()) - mem_info = process.memory_info() - bytes_to_mb = lambda x: round(x / (1024 * 1024), 2) # noqa - return { - "rss_mb": bytes_to_mb(mem_info.rss), # Resident Set Size: 实际使用物理内存 - "vms_mb": bytes_to_mb(mem_info.vms), # Virtual Memory Size: 虚拟内存大小 - "percent": process.memory_percent(), # 进程内存使用百分比 - } - - -def get_disk_usage(path="/"): - """获取指定路径磁盘使用情况 (单位 GB)""" - disk = psutil.disk_usage(path) - bytes_to_gb = lambda x: round(x / (1024 * 1024 * 1024), 2) # noqa - return { - "total_gb": bytes_to_gb(disk.total), - "used_gb": bytes_to_gb(disk.used), - "free_gb": bytes_to_gb(disk.free), - "percent": disk.percent, - } - - -def get_all_basic_info(): - """获取所有基本信息并封装返回""" - # 对于进程CPU使用率,需要先初始化 - process = psutil.Process(os.getpid()) - process.cpu_percent(interval=None) # 初始化调用 - process_cpu = process.cpu_percent(interval=0.1) # 短暂间隔获取 - - return { - "system_info": get_system_info(), - "python_version": get_python_version(), - "cpu_usage_percent": get_cpu_usage(), - "process_cpu_usage_percent": process_cpu, - "memory_usage": get_memory_usage(), - "process_memory_usage": get_process_memory_usage(), - "disk_usage_root": get_disk_usage("/"), - } - - -def get_all_basic_info_string() -> str: - """获取所有基本信息并以带解释的字符串形式返回""" - info = get_all_basic_info() - - sys_info = info["system_info"] - mem_usage = info["memory_usage"] - proc_mem_usage = info["process_memory_usage"] - disk_usage = info["disk_usage_root"] - - # 对进程内存使用百分比进行格式化,保留两位小数 - proc_mem_percent = round(proc_mem_usage["percent"], 2) - - output_string = f"""[系统信息] - - 操作系统: {sys_info["system"]} (例如: Windows, Linux) - - 发行版本: {sys_info["release"]} (例如: 11, Ubuntu 20.04) - - 详细版本: {sys_info["version"]} - - 硬件架构: {sys_info["machine"]} (例如: AMD64) - - 处理器信息: {sys_info["processor"]} - -[Python 环境] - - Python 版本: {info["python_version"]} - -[CPU 状态] - - 系统总 CPU 使用率: {info["cpu_usage_percent"]}% - - 当前进程 CPU 使用率: {info["process_cpu_usage_percent"]}% - -[系统内存使用情况] - - 总物理内存: {mem_usage["total_mb"]} MB - - 可用物理内存: {mem_usage["available_mb"]} MB - - 物理内存使用率: {mem_usage["percent"]}% - - 已用物理内存: {mem_usage["used_mb"]} MB - - 空闲物理内存: {mem_usage["free_mb"]} MB - -[当前进程内存使用情况] - - 实际使用物理内存 (RSS): {proc_mem_usage["rss_mb"]} MB - - 占用虚拟内存 (VMS): {proc_mem_usage["vms_mb"]} MB - - 进程内存使用率: {proc_mem_percent}% - -[磁盘使用情况 (根目录)] - - 总空间: {disk_usage["total_gb"]} GB - - 已用空间: {disk_usage["used_gb"]} GB - - 可用空间: {disk_usage["free_gb"]} GB - - 磁盘使用率: {disk_usage["percent"]}% -""" - return output_string - - -if __name__ == "__main__": - print(f"System Info: {get_system_info()}") - print(f"Python Version: {get_python_version()}") - print(f"CPU Usage: {get_cpu_usage()}%") - # 第一次调用 process.cpu_percent() 会返回0.0或一个无意义的值,需要间隔一段时间再调用 - # 或者在初始化Process对象后,先调用一次cpu_percent(interval=None),然后再调用cpu_percent(interval=1) - current_process = psutil.Process(os.getpid()) - current_process.cpu_percent(interval=None) # 初始化 - print(f"Process CPU Usage: {current_process.cpu_percent(interval=1)}%") # 实际获取 - - memory_usage_info = get_memory_usage() - print( - f"Memory Usage: Total={memory_usage_info['total_mb']}MB, Used={memory_usage_info['used_mb']}MB, Percent={memory_usage_info['percent']}%" - ) - - process_memory_info = get_process_memory_usage() - print( - f"Process Memory Usage: RSS={process_memory_info['rss_mb']}MB, VMS={process_memory_info['vms_mb']}MB, Percent={process_memory_info['percent']}%" - ) - - disk_usage_info = get_disk_usage("/") - print( - f"Disk Usage (Root): Total={disk_usage_info['total_gb']}GB, Used={disk_usage_info['used_gb']}GB, Percent={disk_usage_info['percent']}%" - ) - - print("\n--- All Basic Info (JSON) ---") - all_info = get_all_basic_info() - import json - - print(json.dumps(all_info, indent=4, ensure_ascii=False)) - - print("\n--- All Basic Info (String with Explanations) ---") - info_string = get_all_basic_info_string() - print(info_string) diff --git a/src/api/config_api.py b/src/api/config_api.py deleted file mode 100644 index 07f36a9d8..000000000 --- a/src/api/config_api.py +++ /dev/null @@ -1,317 +0,0 @@ -from typing import List, Optional, Dict, Any -import strawberry - -# from packaging.version import Version -import os - -ROOT_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")) - - -@strawberry.type -class APIBotConfig: - """机器人配置类""" - - INNER_VERSION: str # 配置文件内部版本号(toml为字符串) - MAI_VERSION: str # 硬编码的版本信息 - - # bot - BOT_QQ: Optional[int] # 机器人QQ号 - BOT_NICKNAME: Optional[str] # 机器人昵称 - BOT_ALIAS_NAMES: List[str] # 机器人别名列表 - - # group - talk_allowed_groups: List[int] # 允许回复消息的群号列表 - talk_frequency_down_groups: List[int] # 降低回复频率的群号列表 - ban_user_id: List[int] # 禁止回复和读取消息的QQ号列表 - - # personality - personality_core: str # 人格核心特点描述 - personality_sides: List[str] # 人格细节描述列表 - - # identity - identity_detail: List[str] # 身份特点列表 - age: int # 年龄(岁) - gender: str # 性别 - appearance: str # 外貌特征描述 - - # platforms - platforms: Dict[str, str] # 平台信息 - - # chat - allow_focus_mode: bool # 是否允许专注聊天状态 - base_normal_chat_num: int # 最多允许多少个群进行普通聊天 - base_focused_chat_num: int # 最多允许多少个群进行专注聊天 - observation_context_size: int # 观察到的最长上下文大小 - message_buffer: bool # 是否启用消息缓冲 - ban_words: List[str] # 禁止词列表 - ban_msgs_regex: List[str] # 禁止消息的正则表达式列表 - - # normal_chat - model_reasoning_probability: float # 推理模型概率 - model_normal_probability: float # 普通模型概率 - emoji_chance: float # 表情符号出现概率 - thinking_timeout: int # 思考超时时间 - willing_mode: str # 意愿模式 - response_interested_rate_amplifier: float # 回复兴趣率放大器 - emoji_response_penalty: float # 表情回复惩罚 - mentioned_bot_inevitable_reply: bool # 提及 bot 必然回复 - at_bot_inevitable_reply: bool # @bot 必然回复 - - # focus_chat - reply_trigger_threshold: float # 回复触发阈值 - default_decay_rate_per_second: float # 默认每秒衰减率 - - # compressed - compressed_length: int # 压缩长度 - compress_length_limit: int # 压缩长度限制 - - # emoji - max_emoji_num: int # 最大表情符号数量 - max_reach_deletion: bool # 达到最大数量时是否删除 - check_interval: int # 检查表情包的时间间隔(分钟) - save_emoji: bool # 是否保存表情包 - steal_emoji: bool # 是否偷取表情包 - enable_check: bool # 是否启用表情包过滤 - check_prompt: str # 表情包过滤要求 - - # memory - build_memory_interval: int # 记忆构建间隔 - build_memory_distribution: List[float] # 记忆构建分布 - build_memory_sample_num: int # 采样数量 - build_memory_sample_length: int # 采样长度 - memory_compress_rate: float # 记忆压缩率 - forget_memory_interval: int # 记忆遗忘间隔 - memory_forget_time: int # 记忆遗忘时间(小时) - memory_forget_percentage: float # 记忆遗忘比例 - consolidate_memory_interval: int # 记忆整合间隔 - consolidation_similarity_threshold: float # 相似度阈值 - consolidation_check_percentage: float # 检查节点比例 - memory_ban_words: List[str] # 记忆禁止词列表 - - # mood - mood_update_interval: float # 情绪更新间隔 - mood_decay_rate: float # 情绪衰减率 - mood_intensity_factor: float # 情绪强度因子 - - # keywords_reaction - keywords_reaction_enable: bool # 是否启用关键词反应 - keywords_reaction_rules: List[Dict[str, Any]] # 关键词反应规则 - - # chinese_typo - chinese_typo_enable: bool # 是否启用中文错别字 - chinese_typo_error_rate: float # 中文错别字错误率 - chinese_typo_min_freq: int # 中文错别字最小频率 - chinese_typo_tone_error_rate: float # 中文错别字声调错误率 - chinese_typo_word_replace_rate: float # 中文错别字单词替换率 - - # response_splitter - enable_response_splitter: bool # 是否启用回复分割器 - response_max_length: int # 回复最大长度 - response_max_sentence_num: int # 回复最大句子数 - enable_kaomoji_protection: bool # 是否启用颜文字保护 - - model_max_output_length: int # 模型最大输出长度 - - # remote - remote_enable: bool # 是否启用远程功能 - - # experimental - enable_friend_chat: bool # 是否启用好友聊天 - talk_allowed_private: List[int] # 允许私聊的QQ号列表 - pfc_chatting: bool # 是否启用PFC聊天 - - # 模型配置 - llm_reasoning: Dict[str, Any] # 推理模型配置 - llm_normal: Dict[str, Any] # 普通模型配置 - llm_topic_judge: Dict[str, Any] # 主题判断模型配置 - summary: Dict[str, Any] # 总结模型配置 - vlm: Dict[str, Any] # VLM模型配置 - llm_heartflow: Dict[str, Any] # 心流模型配置 - llm_observation: Dict[str, Any] # 观察模型配置 - llm_sub_heartflow: Dict[str, Any] # 子心流模型配置 - llm_plan: Optional[Dict[str, Any]] # 计划模型配置 - embedding: Dict[str, Any] # 嵌入模型配置 - llm_PFC_action_planner: Optional[Dict[str, Any]] # PFC行动计划模型配置 - llm_PFC_chat: Optional[Dict[str, Any]] # PFC聊天模型配置 - llm_PFC_reply_checker: Optional[Dict[str, Any]] # PFC回复检查模型配置 - llm_tool_use: Optional[Dict[str, Any]] # 工具使用模型配置 - - api_urls: Optional[Dict[str, str]] # API地址配置 - - @staticmethod - def validate_config(config: dict): - """ - 校验传入的 toml 配置字典是否合法。 - :param config: toml库load后的配置字典 - :raises: ValueError, KeyError, TypeError - """ - # 检查主层级 - required_sections = [ - "inner", - "bot", - "groups", - "personality", - "identity", - "platforms", - "chat", - "normal_chat", - "focus_chat", - "emoji", - "memory", - "mood", - "keywords_reaction", - "chinese_typo", - "response_splitter", - "remote", - "experimental", - "model", - ] - for section in required_sections: - if section not in config: - raise KeyError(f"缺少配置段: [{section}]") - - # 检查部分关键字段 - if "version" not in config["inner"]: - raise KeyError("缺少 inner.version 字段") - if not isinstance(config["inner"]["version"], str): - raise TypeError("inner.version 必须为字符串") - - if "qq" not in config["bot"]: - raise KeyError("缺少 bot.qq 字段") - if not isinstance(config["bot"]["qq"], int): - raise TypeError("bot.qq 必须为整数") - - if "personality_core" not in config["personality"]: - raise KeyError("缺少 personality.personality_core 字段") - if not isinstance(config["personality"]["personality_core"], str): - raise TypeError("personality.personality_core 必须为字符串") - - if "identity_detail" not in config["identity"]: - raise KeyError("缺少 identity.identity_detail 字段") - if not isinstance(config["identity"]["identity_detail"], list): - raise TypeError("identity.identity_detail 必须为列表") - - # 可继续添加更多字段的类型和值检查 - # ... - - # 检查模型配置 - model_keys = [ - "llm_reasoning", - "llm_normal", - "llm_topic_judge", - "summary", - "vlm", - "llm_heartflow", - "llm_observation", - "llm_sub_heartflow", - "embedding", - ] - if "model" not in config: - raise KeyError("缺少 [model] 配置段") - for key in model_keys: - if key not in config["model"]: - raise KeyError(f"缺少 model.{key} 配置") - - # 检查通过 - return True - - -@strawberry.type -class APIEnvConfig: - """环境变量配置""" - - HOST: str # 服务主机地址 - PORT: int # 服务端口 - - PLUGINS: List[str] # 插件列表 - - MONGODB_HOST: str # MongoDB 主机地址 - MONGODB_PORT: int # MongoDB 端口 - DATABASE_NAME: str # 数据库名称 - - CHAT_ANY_WHERE_BASE_URL: str # ChatAnywhere 基础URL - SILICONFLOW_BASE_URL: str # SiliconFlow 基础URL - DEEP_SEEK_BASE_URL: str # DeepSeek 基础URL - - DEEP_SEEK_KEY: Optional[str] # DeepSeek API Key - CHAT_ANY_WHERE_KEY: Optional[str] # ChatAnywhere API Key - SILICONFLOW_KEY: Optional[str] # SiliconFlow API Key - - SIMPLE_OUTPUT: Optional[bool] # 是否简化输出 - CONSOLE_LOG_LEVEL: Optional[str] # 控制台日志等级 - FILE_LOG_LEVEL: Optional[str] # 文件日志等级 - DEFAULT_CONSOLE_LOG_LEVEL: Optional[str] # 默认控制台日志等级 - DEFAULT_FILE_LOG_LEVEL: Optional[str] # 默认文件日志等级 - - @strawberry.field - def get_env(self) -> str: - return "env" - - @staticmethod - def validate_config(config: dict): - """ - 校验环境变量配置字典是否合法。 - :param config: 环境变量配置字典 - :raises: KeyError, TypeError - """ - required_fields = [ - "HOST", - "PORT", - "PLUGINS", - "MONGODB_HOST", - "MONGODB_PORT", - "DATABASE_NAME", - "CHAT_ANY_WHERE_BASE_URL", - "SILICONFLOW_BASE_URL", - "DEEP_SEEK_BASE_URL", - ] - for field in required_fields: - if field not in config: - raise KeyError(f"缺少环境变量配置字段: {field}") - - if not isinstance(config["HOST"], str): - raise TypeError("HOST 必须为字符串") - if not isinstance(config["PORT"], int): - raise TypeError("PORT 必须为整数") - if not isinstance(config["PLUGINS"], list): - raise TypeError("PLUGINS 必须为列表") - if not isinstance(config["MONGODB_HOST"], str): - raise TypeError("MONGODB_HOST 必须为字符串") - if not isinstance(config["MONGODB_PORT"], int): - raise TypeError("MONGODB_PORT 必须为整数") - if not isinstance(config["DATABASE_NAME"], str): - raise TypeError("DATABASE_NAME 必须为字符串") - if not isinstance(config["CHAT_ANY_WHERE_BASE_URL"], str): - raise TypeError("CHAT_ANY_WHERE_BASE_URL 必须为字符串") - if not isinstance(config["SILICONFLOW_BASE_URL"], str): - raise TypeError("SILICONFLOW_BASE_URL 必须为字符串") - if not isinstance(config["DEEP_SEEK_BASE_URL"], str): - raise TypeError("DEEP_SEEK_BASE_URL 必须为字符串") - - # 可选字段类型检查 - optional_str_fields = [ - "DEEP_SEEK_KEY", - "CHAT_ANY_WHERE_KEY", - "SILICONFLOW_KEY", - "CONSOLE_LOG_LEVEL", - "FILE_LOG_LEVEL", - "DEFAULT_CONSOLE_LOG_LEVEL", - "DEFAULT_FILE_LOG_LEVEL", - ] - for field in optional_str_fields: - if field in config and config[field] is not None and not isinstance(config[field], str): - raise TypeError(f"{field} 必须为字符串或None") - - if ( - "SIMPLE_OUTPUT" in config - and config["SIMPLE_OUTPUT"] is not None - and not isinstance(config["SIMPLE_OUTPUT"], bool) - ): - raise TypeError("SIMPLE_OUTPUT 必须为布尔值或None") - - # 检查通过 - return True - - -print("当前路径:") -print(ROOT_PATH) diff --git a/src/api/maigraphql/__init__.py b/src/api/maigraphql/__init__.py deleted file mode 100644 index c414911de..000000000 --- a/src/api/maigraphql/__init__.py +++ /dev/null @@ -1,22 +0,0 @@ -import strawberry - -from fastapi import FastAPI -from strawberry.fastapi import GraphQLRouter - -from src.common.server import get_global_server - - -@strawberry.type -class Query: - @strawberry.field - def hello(self) -> str: - return "Hello World" - - -schema = strawberry.Schema(Query) - -graphql_app = GraphQLRouter(schema) - -fast_api_app: FastAPI = get_global_server().get_app() - -fast_api_app.include_router(graphql_app, prefix="/graphql") diff --git a/src/api/maigraphql/schema.py b/src/api/maigraphql/schema.py deleted file mode 100644 index 2ae28399f..000000000 --- a/src/api/maigraphql/schema.py +++ /dev/null @@ -1 +0,0 @@ -pass diff --git a/src/api/main.py b/src/api/main.py deleted file mode 100644 index 598b8aec5..000000000 --- a/src/api/main.py +++ /dev/null @@ -1,112 +0,0 @@ -from fastapi import APIRouter -from strawberry.fastapi import GraphQLRouter -import os -import sys - -# from src.chat.heart_flow.heartflow import heartflow -sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..", ".."))) -# from src.config.config import BotConfig -from src.common.logger import get_logger -from src.api.reload_config import reload_config as reload_config_func -from src.common.server import get_global_server -from src.api.apiforgui import ( - get_all_subheartflow_ids, - forced_change_subheartflow_status, - get_subheartflow_cycle_info, - get_all_states, -) -from src.chat.heart_flow.sub_heartflow import ChatState -from src.api.basic_info_api import get_all_basic_info # 新增导入 - - -router = APIRouter() - - -logger = get_logger("api") - -logger.info("麦麦API服务器已启动") -graphql_router = GraphQLRouter(schema=None, path="/") # Replace `None` with your actual schema - -router.include_router(graphql_router, prefix="/graphql", tags=["GraphQL"]) - - -@router.post("/config/reload") -async def reload_config(): - return await reload_config_func() - - -@router.get("/gui/subheartflow/get/all") -async def get_subheartflow_ids(): - """获取所有子心流的ID列表""" - return await get_all_subheartflow_ids() - - -@router.post("/gui/subheartflow/forced_change_status") -async def forced_change_subheartflow_status_api(subheartflow_id: str, status: ChatState): # noqa - """强制改变子心流的状态""" - # 参数检查 - if not isinstance(status, ChatState): - logger.warning(f"无效的状态参数: {status}") - return {"status": "failed", "reason": "invalid status"} - logger.info(f"尝试将子心流 {subheartflow_id} 状态更改为 {status.value}") - success = await forced_change_subheartflow_status(subheartflow_id, status) - if success: - logger.info(f"子心流 {subheartflow_id} 状态更改为 {status.value} 成功") - return {"status": "success"} - else: - logger.error(f"子心流 {subheartflow_id} 状态更改为 {status.value} 失败") - return {"status": "failed"} - - -@router.get("/stop") -async def force_stop_maibot(): - """强制停止MAI Bot""" - from bot import request_shutdown - - success = await request_shutdown() - if success: - logger.info("MAI Bot已强制停止") - return {"status": "success"} - else: - logger.error("MAI Bot强制停止失败") - return {"status": "failed"} - - -@router.get("/gui/subheartflow/cycleinfo") -async def get_subheartflow_cycle_info_api(subheartflow_id: str, history_len: int): - """获取子心流的循环信息""" - cycle_info = await get_subheartflow_cycle_info(subheartflow_id, history_len) - if cycle_info: - return {"status": "success", "data": cycle_info} - else: - logger.warning(f"子心流 {subheartflow_id} 循环信息未找到") - return {"status": "failed", "reason": "subheartflow not found"} - - -@router.get("/gui/get_all_states") -async def get_all_states_api(): - """获取所有状态""" - all_states = await get_all_states() - if all_states: - return {"status": "success", "data": all_states} - else: - logger.warning("获取所有状态失败") - return {"status": "failed", "reason": "failed to get all states"} - - -@router.get("/info") -async def get_system_basic_info(): - """获取系统基本信息""" - logger.info("请求系统基本信息") - try: - info = get_all_basic_info() - return {"status": "success", "data": info} - except Exception as e: - logger.error(f"获取系统基本信息失败: {e}") - return {"status": "failed", "reason": str(e)} - - -def start_api_server(): - """启动API服务器""" - get_global_server().register_router(router, prefix="/api/v1") - # pass diff --git a/src/api/reload_config.py b/src/api/reload_config.py deleted file mode 100644 index 087c47e4f..000000000 --- a/src/api/reload_config.py +++ /dev/null @@ -1,24 +0,0 @@ -from fastapi import HTTPException -from rich.traceback import install -from src.config.config import get_config_dir, load_config -from src.common.logger import get_logger -import os - -install(extra_lines=3) - -logger = get_logger("api") - - -async def reload_config(): - try: - from src.config import config as config_module - - logger.debug("正在重载配置文件...") - bot_config_path = os.path.join(get_config_dir(), "bot_config.toml") - config_module.global_config = load_config(config_path=bot_config_path) - logger.debug("配置文件重载成功") - return {"status": "reloaded"} - except FileNotFoundError as e: - raise HTTPException(status_code=404, detail=str(e)) from e - except Exception as e: - raise HTTPException(status_code=500, detail=f"重载配置时发生错误: {str(e)}") from e diff --git a/src/chat/emoji_system/emoji_manager.py b/src/chat/emoji_system/emoji_manager.py index 3511d938b..11fb0f62d 100644 --- a/src/chat/emoji_system/emoji_manager.py +++ b/src/chat/emoji_system/emoji_manager.py @@ -5,20 +5,19 @@ import os import random import time import traceback -from typing import Optional, Tuple, List, Any -from PIL import Image import io import re - -# from gradio_client import file +import binascii +from typing import Optional, Tuple, List, Any +from PIL import Image +from rich.traceback import install from src.common.database.database_model import Emoji from src.common.database.database import db as peewee_db +from src.common.logger import get_logger from src.config.config import global_config from src.chat.utils.utils_image import image_path_to_base64, get_image_manager from src.llm_models.utils_model import LLMRequest -from src.common.logger import get_logger -from rich.traceback import install install(extra_lines=3) @@ -26,7 +25,7 @@ logger = get_logger("emoji") BASE_DIR = os.path.join("data") EMOJI_DIR = os.path.join(BASE_DIR, "emoji") # 表情包存储目录 -EMOJI_REGISTED_DIR = os.path.join(BASE_DIR, "emoji_registed") # 已注册的表情包注册目录 +EMOJI_REGISTERED_DIR = os.path.join(BASE_DIR, "emoji_registed") # 已注册的表情包注册目录 MAX_EMOJI_FOR_PROMPT = 20 # 最大允许的表情包描述数量于图片替换的 prompt 中 """ @@ -85,7 +84,7 @@ class MaiEmoji: logger.debug(f"[初始化] 正在使用Pillow获取格式: {self.filename}") try: with Image.open(io.BytesIO(image_bytes)) as img: - self.format = img.format.lower() + self.format = img.format.lower() # type: ignore logger.debug(f"[初始化] 格式获取成功: {self.format}") except Exception as pil_error: logger.error(f"[初始化错误] Pillow无法处理图片 ({self.filename}): {pil_error}") @@ -100,7 +99,7 @@ class MaiEmoji: logger.error(f"[初始化错误] 文件在处理过程中丢失: {self.full_path}") self.is_deleted = True return None - except base64.binascii.Error as b64_error: + except (binascii.Error, ValueError) as b64_error: logger.error(f"[初始化错误] Base64解码失败 ({self.filename}): {b64_error}") self.is_deleted = True return None @@ -113,7 +112,7 @@ class MaiEmoji: async def register_to_db(self) -> bool: """ 注册表情包 - 将表情包对应的文件,从当前路径移动到EMOJI_REGISTED_DIR目录下 + 将表情包对应的文件,从当前路径移动到EMOJI_REGISTERED_DIR目录下 并修改对应的实例属性,然后将表情包信息保存到数据库中 """ try: @@ -122,7 +121,7 @@ class MaiEmoji: # 源路径是当前实例的完整路径 self.full_path source_full_path = self.full_path # 目标完整路径 - destination_full_path = os.path.join(EMOJI_REGISTED_DIR, self.filename) + destination_full_path = os.path.join(EMOJI_REGISTERED_DIR, self.filename) # 检查源文件是否存在 if not os.path.exists(source_full_path): @@ -139,7 +138,7 @@ class MaiEmoji: logger.debug(f"[移动] 文件从 {source_full_path} 移动到 {destination_full_path}") # 更新实例的路径属性为新路径 self.full_path = destination_full_path - self.path = EMOJI_REGISTED_DIR + self.path = EMOJI_REGISTERED_DIR # self.filename 保持不变 except Exception as move_error: logger.error(f"[错误] 移动文件失败: {str(move_error)}") @@ -202,7 +201,7 @@ class MaiEmoji: try: will_delete_emoji = Emoji.get(Emoji.emoji_hash == self.hash) result = will_delete_emoji.delete_instance() # Returns the number of rows deleted. - except Emoji.DoesNotExist: + except Emoji.DoesNotExist: # type: ignore logger.warning(f"[删除] 数据库中未找到哈希值为 {self.hash} 的表情包记录。") result = 0 # Indicate no DB record was deleted @@ -298,7 +297,7 @@ def _to_emoji_objects(data: Any) -> Tuple[List["MaiEmoji"], int]: def _ensure_emoji_dir() -> None: """确保表情存储目录存在""" os.makedirs(EMOJI_DIR, exist_ok=True) - os.makedirs(EMOJI_REGISTED_DIR, exist_ok=True) + os.makedirs(EMOJI_REGISTERED_DIR, exist_ok=True) async def clear_temp_emoji() -> None: @@ -331,10 +330,10 @@ async def clean_unused_emojis(emoji_dir: str, emoji_objects: List["MaiEmoji"], r logger.warning(f"[清理] 目标目录不存在,跳过清理: {emoji_dir}") return removed_count + cleaned_count = 0 try: # 获取内存中所有有效表情包的完整路径集合 tracked_full_paths = {emoji.full_path for emoji in emoji_objects if not emoji.is_deleted} - cleaned_count = 0 # 遍历指定目录中的所有文件 for file_name in os.listdir(emoji_dir): @@ -358,11 +357,11 @@ async def clean_unused_emojis(emoji_dir: str, emoji_objects: List["MaiEmoji"], r else: logger.info(f"[清理] 目录 {emoji_dir} 中没有需要清理的。") - return removed_count + cleaned_count - except Exception as e: logger.error(f"[错误] 清理未使用表情包文件时出错 ({emoji_dir}): {str(e)}") + return removed_count + cleaned_count + class EmojiManager: _instance = None @@ -414,7 +413,7 @@ class EmojiManager: emoji_update.usage_count += 1 emoji_update.last_used_time = time.time() # Update last used time emoji_update.save() # Persist changes to DB - except Emoji.DoesNotExist: + except Emoji.DoesNotExist: # type: ignore logger.error(f"记录表情使用失败: 未找到 hash 为 {emoji_hash} 的表情包") except Exception as e: logger.error(f"记录表情使用失败: {str(e)}") @@ -570,8 +569,8 @@ class EmojiManager: if objects_to_remove: self.emoji_objects = [e for e in self.emoji_objects if e not in objects_to_remove] - # 清理 EMOJI_REGISTED_DIR 目录中未被追踪的文件 - removed_count = await clean_unused_emojis(EMOJI_REGISTED_DIR, self.emoji_objects, removed_count) + # 清理 EMOJI_REGISTERED_DIR 目录中未被追踪的文件 + removed_count = await clean_unused_emojis(EMOJI_REGISTERED_DIR, self.emoji_objects, removed_count) # 输出清理结果 if removed_count > 0: @@ -850,11 +849,13 @@ class EmojiManager: if isinstance(image_base64, str): image_base64 = image_base64.encode("ascii", errors="ignore").decode("ascii") image_bytes = base64.b64decode(image_base64) - image_format = Image.open(io.BytesIO(image_bytes)).format.lower() + image_format = Image.open(io.BytesIO(image_bytes)).format.lower() # type: ignore # 调用AI获取描述 if image_format == "gif" or image_format == "GIF": - image_base64 = get_image_manager().transform_gif(image_base64) + image_base64 = get_image_manager().transform_gif(image_base64) # type: ignore + if not image_base64: + raise RuntimeError("GIF表情包转换失败") prompt = "这是一个动态图表情包,每一张图代表了动态图的某一帧,黑色背景代表透明,描述一下表情包表达的情感和内容,描述细节,从互联网梗,meme的角度去分析" description, _ = await self.vlm.generate_response_for_image(prompt, image_base64, "jpg") else: diff --git a/src/chat/express/expression_learner.py b/src/chat/express/expression_learner.py index 2d05e51a0..cb99f65f9 100644 --- a/src/chat/express/expression_learner.py +++ b/src/chat/express/expression_learner.py @@ -1,14 +1,16 @@ import time import random +import json +import os + from typing import List, Dict, Optional, Any, Tuple + from src.common.logger import get_logger from src.llm_models.utils_model import LLMRequest from src.config.config import global_config from src.chat.utils.chat_message_builder import get_raw_msg_by_timestamp_random, build_anonymous_messages from src.chat.utils.prompt_builder import Prompt, global_prompt_manager -import os from src.chat.message_receive.chat_stream import get_chat_manager -import json MAX_EXPRESSION_COUNT = 300 @@ -74,7 +76,8 @@ class ExpressionLearner: ) self.llm_model = None - def get_expression_by_chat_id(self, chat_id: str) -> Tuple[List[Dict[str, str]], List[Dict[str, str]]]: + def get_expression_by_chat_id(self, chat_id: str) -> Tuple[List[Dict[str, float]], List[Dict[str, float]]]: + # sourcery skip: extract-duplicate-method, remove-unnecessary-cast """ 获取指定chat_id的style和grammar表达方式 返回的每个表达方式字典中都包含了source_id, 用于后续的更新操作 @@ -119,10 +122,10 @@ class ExpressionLearner: min_len = min(len(s1), len(s2)) if min_len < 5: return False - same = sum(1 for a, b in zip(s1, s2, strict=False) if a == b) + same = sum(a == b for a, b in zip(s1, s2, strict=False)) return same / min_len > 0.8 - async def learn_and_store_expression(self) -> List[Tuple[str, str, str]]: + async def learn_and_store_expression(self) -> Tuple[List[Tuple[str, str, str]], List[Tuple[str, str, str]]]: """ 学习并存储表达方式,分别学习语言风格和句法特点 同时对所有已存储的表达方式进行全局衰减 @@ -158,12 +161,12 @@ class ExpressionLearner: for _ in range(3): learnt_style: Optional[List[Tuple[str, str, str]]] = await self.learn_and_store(type="style", num=25) if not learnt_style: - return [] + return [], [] for _ in range(1): learnt_grammar: Optional[List[Tuple[str, str, str]]] = await self.learn_and_store(type="grammar", num=10) if not learnt_grammar: - return [] + return [], [] return learnt_style, learnt_grammar @@ -214,6 +217,7 @@ class ExpressionLearner: return result async def learn_and_store(self, type: str, num: int = 10) -> List[Tuple[str, str, str]]: + # sourcery skip: use-join """ 选择从当前到最近1小时内的随机num条消息,然后学习这些消息的表达方式 type: "style" or "grammar" @@ -249,7 +253,7 @@ class ExpressionLearner: return [] # 按chat_id分组 - chat_dict: Dict[str, List[Dict[str, str]]] = {} + chat_dict: Dict[str, List[Dict[str, Any]]] = {} for chat_id, situation, style in learnt_expressions: if chat_id not in chat_dict: chat_dict[chat_id] = [] diff --git a/src/chat/express/expression_selector.py b/src/chat/express/expression_selector.py index cd1948f6c..03456e27e 100644 --- a/src/chat/express/expression_selector.py +++ b/src/chat/express/expression_selector.py @@ -1,14 +1,16 @@ -from .expression_learner import get_expression_learner -import random -from typing import List, Dict, Tuple -from json_repair import repair_json import json import os import time +import random + +from typing import List, Dict, Tuple, Optional +from json_repair import repair_json + from src.llm_models.utils_model import LLMRequest from src.config.config import global_config from src.common.logger import get_logger from src.chat.utils.prompt_builder import Prompt, global_prompt_manager +from .expression_learner import get_expression_learner logger = get_logger("expression_selector") @@ -82,6 +84,7 @@ class ExpressionSelector: 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]]]: + # sourcery skip: extract-duplicate-method, move-assign ( learnt_style_expressions, learnt_grammar_expressions, @@ -165,8 +168,14 @@ class ExpressionSelector: logger.error(f"批量更新表达方式count失败 for {file_path}: {e}") async def select_suitable_expressions_llm( - self, chat_id: str, chat_info: str, max_num: int = 10, min_num: int = 5, target_message: str = None + self, + chat_id: str, + chat_info: str, + max_num: int = 10, + min_num: int = 5, + target_message: Optional[str] = None, ) -> List[Dict[str, str]]: + # sourcery skip: inline-variable, list-comprehension """使用LLM选择适合的表达方式""" # 1. 获取35个随机表达方式(现在按权重抽取) diff --git a/src/chat/focus_chat/heartFC_chat.py b/src/chat/focus_chat/heartFC_chat.py index 95bb5b071..db75ef578 100644 --- a/src/chat/focus_chat/heartFC_chat.py +++ b/src/chat/focus_chat/heartFC_chat.py @@ -1,23 +1,25 @@ import asyncio import time import traceback -from typing import Optional, List - -from src.chat.message_receive.chat_stream import get_chat_manager +import random +from typing import List, Optional, Dict, Any from rich.traceback import install -from src.chat.utils.prompt_builder import global_prompt_manager + +from src.config.config import global_config from src.common.logger import get_logger +from src.chat.message_receive.chat_stream import ChatStream, get_chat_manager +from src.chat.utils.prompt_builder import global_prompt_manager from src.chat.utils.timer_calculator import Timer +from src.chat.utils.chat_message_builder import get_raw_msg_by_timestamp_with_chat from src.chat.planner_actions.planner import ActionPlanner from src.chat.planner_actions.action_modifier import ActionModifier from src.chat.planner_actions.action_manager import ActionManager -from src.config.config import global_config -from src.person_info.relationship_builder_manager import relationship_builder_manager from src.chat.focus_chat.hfc_utils import CycleDetail -import random from src.chat.focus_chat.hfc_utils import get_recent_message_stats +from src.person_info.relationship_builder_manager import relationship_builder_manager from src.person_info.person_info import get_person_info_manager -from src.plugin_system.apis import generator_api,send_api,message_api +from src.plugin_system.base.component_types import ActionInfo, ChatMode +from src.plugin_system.apis import generator_api, send_api, message_api from src.chat.willing.willing_manager import get_willing_manager from ...mais4u.mais4u_chat.priority_manager import PriorityManager from src.chat.utils.chat_message_builder import get_raw_msg_by_timestamp_with_chat @@ -79,13 +81,15 @@ class HeartFChatting: """ # 基础属性 self.stream_id: str = chat_id # 聊天流ID - self.chat_stream = get_chat_manager().get_stream(self.stream_id) + self.chat_stream: ChatStream = get_chat_manager().get_stream(self.stream_id) # type: ignore + if not self.chat_stream: + raise ValueError(f"无法找到聊天流: {self.stream_id}") self.log_prefix = f"[{get_chat_manager().get_stream_name(self.stream_id) or self.stream_id}]" self.relationship_builder = relationship_builder_manager.get_or_create_builder(self.stream_id) self.loop_mode = "normal" - + # 新增:消息计数器和疲惫阈值 self._message_count = 0 # 发送的消息计数 # 基于exit_focus_threshold动态计算疲惫阈值 @@ -93,7 +97,6 @@ class HeartFChatting: self._message_threshold = max(10, int(30 * global_config.chat.exit_focus_threshold)) self._fatigue_triggered = False # 是否已触发疲惫退出 - self.action_manager = ActionManager() self.action_planner = ActionPlanner(chat_id=self.stream_id, action_manager=self.action_manager) self.action_modifier = ActionModifier(action_manager=self.action_manager, chat_id=self.stream_id) @@ -105,18 +108,16 @@ class HeartFChatting: # 添加循环信息管理相关的属性 self.history_loop: List[CycleDetail] = [] self._cycle_counter = 0 - self._current_cycle_detail: Optional[CycleDetail] = None + self._current_cycle_detail: CycleDetail = None # type: ignore self.reply_timeout_count = 0 self.plan_timeout_count = 0 - - self.last_read_time = time.time()-1 - - + + self.last_read_time = time.time() - 1 + self.willing_amplifier = 1 self.willing_manager = get_willing_manager() - - + self.reply_mode = self.chat_stream.context.get_priority_mode() if self.reply_mode == "priority": self.priority_manager = PriorityManager( @@ -125,13 +126,11 @@ class HeartFChatting: self.loop_mode = "priority" else: self.priority_manager = None - logger.info( f"{self.log_prefix} HeartFChatting 初始化完成,消息疲惫阈值: {self._message_threshold}条(基于exit_focus_threshold={global_config.chat.exit_focus_threshold}计算,仅在auto模式下生效)" ) - - + self.energy_value = 100 async def start(self): @@ -160,100 +159,97 @@ class HeartFChatting: def _handle_loop_completion(self, task: asyncio.Task): """当 _hfc_loop 任务完成时执行的回调。""" try: - exception = task.exception() - if exception: + if exception := task.exception(): logger.error(f"{self.log_prefix} HeartFChatting: 脱离了聊天(异常): {exception}") logger.error(traceback.format_exc()) # Log full traceback for exceptions else: logger.info(f"{self.log_prefix} HeartFChatting: 脱离了聊天 (外部停止)") except asyncio.CancelledError: logger.info(f"{self.log_prefix} HeartFChatting: 结束了聊天") - + def start_cycle(self): self._cycle_counter += 1 self._current_cycle_detail = CycleDetail(self._cycle_counter) - self._current_cycle_detail.thinking_id = "tid" + str(round(time.time(), 2)) + self._current_cycle_detail.thinking_id = f"tid{str(round(time.time(), 2))}" cycle_timers = {} return cycle_timers, self._current_cycle_detail.thinking_id - - def end_cycle(self,loop_info,cycle_timers): + + def end_cycle(self, loop_info, cycle_timers): self._current_cycle_detail.set_loop_info(loop_info) self.history_loop.append(self._current_cycle_detail) self._current_cycle_detail.timers = cycle_timers self._current_cycle_detail.end_time = time.time() - - def print_cycle_info(self,cycle_timers): - # 记录循环信息和计时器结果 - timer_strings = [] - for name, elapsed in cycle_timers.items(): - formatted_time = f"{elapsed * 1000:.2f}毫秒" if elapsed < 1 else f"{elapsed:.2f}秒" - timer_strings.append(f"{name}: {formatted_time}") - logger.info( - f"{self.log_prefix} 第{self._current_cycle_detail.cycle_id}次思考," - f"耗时: {self._current_cycle_detail.end_time - self._current_cycle_detail.start_time:.1f}秒, " - f"选择动作: {self._current_cycle_detail.loop_plan_info.get('action_result', {}).get('action_type', '未知动作')}" - + (f"\n详情: {'; '.join(timer_strings)}" if timer_strings else "") - ) - + def print_cycle_info(self, cycle_timers): + # 记录循环信息和计时器结果 + timer_strings = [] + for name, elapsed in cycle_timers.items(): + formatted_time = f"{elapsed * 1000:.2f}毫秒" if elapsed < 1 else f"{elapsed:.2f}秒" + timer_strings.append(f"{name}: {formatted_time}") + + logger.info( + f"{self.log_prefix} 第{self._current_cycle_detail.cycle_id}次思考," + f"耗时: {self._current_cycle_detail.end_time - self._current_cycle_detail.start_time:.1f}秒, " # type: ignore + f"选择动作: {self._current_cycle_detail.loop_plan_info.get('action_result', {}).get('action_type', '未知动作')}" + + (f"\n详情: {'; '.join(timer_strings)}" if timer_strings else "") + ) - async def _loopbody(self): if self.loop_mode == "focus": - - self.energy_value -= 5 * (1/global_config.chat.exit_focus_threshold) + self.energy_value -= 5 * (1 / global_config.chat.exit_focus_threshold) if self.energy_value <= 0: self.loop_mode = "normal" return True - - + return await self._observe() elif self.loop_mode == "normal": new_messages_data = get_raw_msg_by_timestamp_with_chat( - chat_id=self.stream_id, timestamp_start=self.last_read_time, timestamp_end=time.time(),limit=10,limit_mode="earliest",fliter_bot=True + chat_id=self.stream_id, + timestamp_start=self.last_read_time, + timestamp_end=time.time(), + limit=10, + limit_mode="earliest", + filter_bot=True, ) - + if len(new_messages_data) > 4 * global_config.chat.auto_focus_threshold: self.loop_mode = "focus" self.energy_value = 100 return True - + if new_messages_data: earliest_messages_data = new_messages_data[0] self.last_read_time = earliest_messages_data.get("time") - + await self.normal_response(earliest_messages_data) return True await asyncio.sleep(1) - + return True - - async def build_reply_to_str(self,message_data:dict): + + async def build_reply_to_str(self, message_data: dict): person_info_manager = get_person_info_manager() person_id = person_info_manager.get_person_id( - message_data.get("chat_info_platform"), message_data.get("user_id") + message_data.get("chat_info_platform"), # type: ignore + message_data.get("user_id"), # type: ignore ) person_name = await person_info_manager.get_value(person_id, "person_name") - reply_to_str = f"{person_name}:{message_data.get('processed_plain_text')}" - return reply_to_str + return f"{person_name}:{message_data.get('processed_plain_text')}" - - async def _observe(self,message_data:dict = None): + async def _observe(self, message_data: Optional[Dict[str, Any]] = None): + if not message_data: + message_data = {} # 创建新的循环信息 cycle_timers, thinking_id = self.start_cycle() - + logger.info(f"{self.log_prefix} 开始第{self._cycle_counter}次思考[模式:{self.loop_mode}]") - - - async with global_prompt_manager.async_message_scope( - self.chat_stream.context.get_template_name() - ): + async with global_prompt_manager.async_message_scope(self.chat_stream.context.get_template_name()): loop_start_time = time.time() # await self.loop_info.observe() await self.relationship_builder.build_relation() - + # 第一步:动作修改 with Timer("动作修改", cycle_timers): try: @@ -261,18 +257,15 @@ class HeartFChatting: available_actions = self.action_manager.get_using_actions() except Exception as e: logger.error(f"{self.log_prefix} 动作修改失败: {e}") - - #如果normal,开始一个回复生成进程,先准备好回复(其实是和planer同时进行的) + + # 如果normal,开始一个回复生成进程,先准备好回复(其实是和planer同时进行的) if self.loop_mode == "normal": reply_to_str = await self.build_reply_to_str(message_data) - gen_task = asyncio.create_task(self._generate_response(message_data, available_actions,reply_to_str)) - + gen_task = asyncio.create_task(self._generate_response(message_data, available_actions, reply_to_str)) with Timer("规划器", cycle_timers): plan_result = await self.action_planner.plan(mode=self.loop_mode) - - action_result = plan_result.get("action_result", {}) action_type, action_data, reasoning, is_parallel = ( action_result.get("action_type", "error"), @@ -282,7 +275,7 @@ class HeartFChatting: ) action_data["loop_start_time"] = loop_start_time - + if self.loop_mode == "normal": if action_type == "no_action": logger.info(f"[{self.log_prefix}] {global_config.bot.nickname} 决定进行回复") @@ -293,8 +286,6 @@ class HeartFChatting: else: logger.info(f"[{self.log_prefix}] {global_config.bot.nickname} 决定执行{action_type}动作") - - if action_type == "no_action": # 等待回复生成完毕 gather_timeout = global_config.chat.thinking_timeout @@ -307,27 +298,22 @@ class HeartFChatting: content = " ".join([item[1] for item in response_set if item[0] == "text"]) # 模型炸了,没有回复内容生成 - if not response_set or ( - action_type not in ["no_action"] and not is_parallel - ): - if not response_set: - logger.warning(f"[{self.log_prefix}] 模型未生成回复内容") - elif action_type not in ["no_action"] and not is_parallel: - logger.info( - f"[{self.log_prefix}] {global_config.bot.nickname} 原本想要回复:{content},但选择执行{action_type},不发表回复" - ) + if not response_set: + logger.warning(f"[{self.log_prefix}] 模型未生成回复内容") + return False + elif action_type not in ["no_action"] and not is_parallel: + logger.info( + f"[{self.log_prefix}] {global_config.bot.nickname} 原本想要回复:{content},但选择执行{action_type},不发表回复" + ) return False logger.info(f"[{self.log_prefix}] {global_config.bot.nickname} 决定的回复内容: {content}") - # 发送回复 (不再需要传入 chat) await self._send_response(response_set, reply_to_str, loop_start_time) return True - - - + else: # 动作执行计时 with Timer("动作执行", cycle_timers): @@ -350,18 +336,16 @@ class HeartFChatting: if loop_info["loop_action_info"]["command"] == "stop_focus_chat": logger.info(f"{self.log_prefix} 麦麦决定停止专注聊天") return False - #停止该聊天模式的循环 + # 停止该聊天模式的循环 - self.end_cycle(loop_info,cycle_timers) + self.end_cycle(loop_info, cycle_timers) self.print_cycle_info(cycle_timers) if self.loop_mode == "normal": - await self.willing_manager.after_generate_reply_handle(message_data.get("message_id")) + await self.willing_manager.after_generate_reply_handle(message_data.get("message_id", "")) return True - - - + async def _main_chat_loop(self): """主循环,持续进行计划并可能回复消息,直到被外部取消。""" try: @@ -370,7 +354,7 @@ class HeartFChatting: await asyncio.sleep(0.1) if not success: break - + logger.info(f"{self.log_prefix} 麦麦已强制离开聊天") except asyncio.CancelledError: # 设置了关闭标志位后被取消是正常流程 @@ -425,12 +409,9 @@ class HeartFChatting: # 处理动作并获取结果 result = await action_handler.handle_action() - if len(result) == 3: - success, reply_text, command = result - else: - success, reply_text = result - command = "" - + success, reply_text = result + command = "" + if reply_text == "timeout": self.reply_timeout_count += 1 if self.reply_timeout_count > 5: @@ -446,32 +427,40 @@ class HeartFChatting: logger.error(f"{self.log_prefix} 处理{action}时出错: {e}") traceback.print_exc() return False, "", "" - - async def shutdown(self): - """优雅关闭HeartFChatting实例,取消活动循环任务""" - logger.info(f"{self.log_prefix} 正在关闭HeartFChatting...") - self.running = False # <-- 在开始关闭时设置标志位 - # 取消循环任务 - if self._loop_task and not self._loop_task.done(): - logger.info(f"{self.log_prefix} 正在取消HeartFChatting循环任务") - self._loop_task.cancel() - try: - await asyncio.wait_for(self._loop_task, timeout=1.0) - logger.info(f"{self.log_prefix} HeartFChatting循环任务已取消") - except (asyncio.CancelledError, asyncio.TimeoutError): - pass - except Exception as e: - logger.error(f"{self.log_prefix} 取消循环任务出错: {e}") - else: - logger.info(f"{self.log_prefix} 没有活动的HeartFChatting循环任务") + # async def shutdown(self): + # """优雅关闭HeartFChatting实例,取消活动循环任务""" + # logger.info(f"{self.log_prefix} 正在关闭HeartFChatting...") + # self.running = False # <-- 在开始关闭时设置标志位 - # 清理状态 - self.running = False - self._loop_task = None - - logger.info(f"{self.log_prefix} HeartFChatting关闭完成") + # # 记录最终的消息统计 + # if self._message_count > 0: + # logger.info(f"{self.log_prefix} 本次focus会话共发送了 {self._message_count} 条消息") + # if self._fatigue_triggered: + # logger.info(f"{self.log_prefix} 因疲惫而退出focus模式") + # # 取消循环任务 + # if self._loop_task and not self._loop_task.done(): + # logger.info(f"{self.log_prefix} 正在取消HeartFChatting循环任务") + # self._loop_task.cancel() + # try: + # await asyncio.wait_for(self._loop_task, timeout=1.0) + # logger.info(f"{self.log_prefix} HeartFChatting循环任务已取消") + # except (asyncio.CancelledError, asyncio.TimeoutError): + # pass + # except Exception as e: + # logger.error(f"{self.log_prefix} 取消循环任务出错: {e}") + # else: + # logger.info(f"{self.log_prefix} 没有活动的HeartFChatting循环任务") + + # # 清理状态 + # self.running = False + # self._loop_task = None + + # # 重置消息计数器,为下次启动做准备 + # self.reset_message_count() + + # logger.info(f"{self.log_prefix} HeartFChatting关闭完成") def adjust_reply_frequency(self): """ @@ -542,18 +531,16 @@ class HeartFChatting: f"[{self.log_prefix}] 调整回复意愿。10分钟内回复: {bot_reply_count_10_min} (目标: {target_replies_in_window:.0f}) -> " f"意愿放大器更新为: {self.willing_amplifier:.2f}" ) - - - + async def normal_response(self, message_data: dict) -> None: """ 处理接收到的消息。 在"兴趣"模式下,判断是否回复并生成内容。 """ - + is_mentioned = message_data.get("is_mentioned", False) interested_rate = message_data.get("interest_rate", 0.0) * self.willing_amplifier - + reply_probability = ( 1.0 if is_mentioned and global_config.normal_chat.mentioned_bot_inevitable_reply else 0.0 ) # 如果被提及,且开启了提及必回复,则基础概率为1,否则需要意愿判断 @@ -565,7 +552,7 @@ class HeartFChatting: # 仅在未被提及或基础概率不为1时查询意愿概率 if reply_probability < 1: # 简化逻辑,如果未提及 (reply_probability 为 0),则获取意愿概率 # is_willing = True - reply_probability = await self.willing_manager.get_reply_probability(message_data.get("message_id")) + reply_probability = await self.willing_manager.get_reply_probability(message_data.get("message_id", "")) additional_config = message_data.get("additional_config", {}) if additional_config and "maimcore_reply_probability_gain" in additional_config: @@ -576,7 +563,6 @@ class HeartFChatting: if message_data.get("is_emoji") or message_data.get("is_picid"): reply_probability = 0 - # 打印消息信息 mes_name = self.chat_stream.group_info.group_name if self.chat_stream.group_info else "私聊" if reply_probability > 0.1: @@ -587,21 +573,18 @@ class HeartFChatting: ) if random.random() < reply_probability: - await self.willing_manager.before_generate_reply_handle(message_data.get("message_id")) - await self._observe(message_data = message_data) + await self.willing_manager.before_generate_reply_handle(message_data.get("message_id", "")) + await self._observe(message_data=message_data) # 意愿管理器:注销当前message信息 (无论是否回复,只要处理过就删除) - self.willing_manager.delete(message_data.get("message_id")) - - return True - - + self.willing_manager.delete(message_data.get("message_id", "")) + async def _generate_response( - self, message_data: dict, available_actions: Optional[list],reply_to:str + self, message_data: dict, available_actions: Optional[Dict[str, ActionInfo]], reply_to: str ) -> Optional[list]: """生成普通回复""" try: - success, reply_set = await generator_api.generate_reply( + success, reply_set, _ = await generator_api.generate_reply( chat_stream=self.chat_stream, reply_to=reply_to, available_actions=available_actions, @@ -618,37 +601,33 @@ class HeartFChatting: except Exception as e: logger.error(f"[{self.log_prefix}] 回复生成出现错误:{str(e)} {traceback.format_exc()}") return None - - - async def _send_response( - self, reply_set, reply_to, thinking_start_time - ): + + async def _send_response(self, reply_set, reply_to, thinking_start_time): current_time = time.time() new_message_count = message_api.count_new_messages( chat_id=self.chat_stream.stream_id, start_time=thinking_start_time, end_time=current_time ) - + need_reply = new_message_count >= random.randint(2, 4) - + logger.info( f"{self.log_prefix} 从思考到回复,共有{new_message_count}条新消息,{'使用' if need_reply else '不使用'}引用回复" ) - + reply_text = "" first_replyed = False for reply_seg in reply_set: data = reply_seg[1] if not first_replyed: if need_reply: - await send_api.text_to_stream(text=data, stream_id=self.chat_stream.stream_id, reply_to=reply_to, typing=False) - first_replyed = True + await send_api.text_to_stream( + text=data, stream_id=self.chat_stream.stream_id, reply_to=reply_to, typing=False + ) else: await send_api.text_to_stream(text=data, stream_id=self.chat_stream.stream_id, typing=False) - first_replyed = True + first_replyed = True else: await send_api.text_to_stream(text=data, stream_id=self.chat_stream.stream_id, typing=True) reply_text += data - + return reply_text - - \ No newline at end of file diff --git a/src/chat/focus_chat/hfc_utils.py b/src/chat/focus_chat/hfc_utils.py index 5d8df651d..a24656665 100644 --- a/src/chat/focus_chat/hfc_utils.py +++ b/src/chat/focus_chat/hfc_utils.py @@ -1,11 +1,10 @@ import time -from typing import Optional -from src.common.logger import get_logger -from typing import Dict, Any + +from typing import Optional, Dict, Any + from src.config.config import global_config from src.common.message_repository import count_messages - - +from src.common.logger import get_logger logger = get_logger(__name__) @@ -82,11 +81,10 @@ class CycleDetail: self.loop_action_info = loop_info["loop_action_info"] - -def get_recent_message_stats(minutes: int = 30, chat_id: str = None) -> dict: +def get_recent_message_stats(minutes: float = 30, chat_id: Optional[str] = None) -> dict: """ Args: - minutes (int): 检索的分钟数,默认30分钟 + minutes (float): 检索的分钟数,默认30分钟 chat_id (str, optional): 指定的chat_id,仅统计该chat下的消息。为None时统计全部。 Returns: dict: {"bot_reply_count": int, "total_message_count": int} @@ -96,7 +94,7 @@ def get_recent_message_stats(minutes: int = 30, chat_id: str = None) -> dict: start_time = now - minutes * 60 bot_id = global_config.bot.qq_account - filter_base = {"time": {"$gte": start_time}} + filter_base: Dict[str, Any] = {"time": {"$gte": start_time}} if chat_id is not None: filter_base["chat_id"] = chat_id diff --git a/src/chat/heart_flow/heartflow.py b/src/chat/heart_flow/heartflow.py index e3c36d2e7..111b37e64 100644 --- a/src/chat/heart_flow/heartflow.py +++ b/src/chat/heart_flow/heartflow.py @@ -1,8 +1,8 @@ import traceback -from src.chat.heart_flow.sub_heartflow import SubHeartflow +from typing import Any, Optional, Dict + from src.common.logger import get_logger -from typing import Any, Optional -from typing import Dict +from src.chat.heart_flow.sub_heartflow import SubHeartflow from src.chat.message_receive.chat_stream import get_chat_manager logger = get_logger("heartflow") @@ -17,14 +17,11 @@ class Heartflow: async def get_or_create_subheartflow(self, subheartflow_id: Any) -> Optional["SubHeartflow"]: """获取或创建一个新的SubHeartflow实例""" if subheartflow_id in self.subheartflows: - subflow = self.subheartflows.get(subheartflow_id) - if subflow: + if subflow := self.subheartflows.get(subheartflow_id): return subflow try: - new_subflow = SubHeartflow( - subheartflow_id, - ) + new_subflow = SubHeartflow(subheartflow_id) await new_subflow.initialize() diff --git a/src/chat/heart_flow/heartflow_message_processor.py b/src/chat/heart_flow/heartflow_message_processor.py index d5d63483d..076ef0c06 100644 --- a/src/chat/heart_flow/heartflow_message_processor.py +++ b/src/chat/heart_flow/heartflow_message_processor.py @@ -1,21 +1,23 @@ -from src.chat.memory_system.Hippocampus import hippocampus_manager -from src.config.config import global_config import asyncio -from src.chat.message_receive.message import MessageRecv -from src.chat.message_receive.storage import MessageStorage -from src.chat.heart_flow.heartflow import heartflow -from src.chat.message_receive.chat_stream import get_chat_manager -from src.chat.utils.utils import is_mentioned_bot_in_message -from src.chat.utils.timer_calculator import Timer -from src.common.logger import get_logger import re import math import traceback -from typing import Tuple +from typing import Tuple, TYPE_CHECKING + +from src.config.config import global_config +from src.chat.memory_system.Hippocampus import hippocampus_manager +from src.chat.message_receive.message import MessageRecv +from src.chat.message_receive.storage import MessageStorage +from src.chat.heart_flow.heartflow import heartflow +from src.chat.utils.utils import is_mentioned_bot_in_message +from src.chat.utils.timer_calculator import Timer +from src.common.logger import get_logger from src.person_info.relationship_manager import get_relationship_manager from src.mood.mood_manager import mood_manager +if TYPE_CHECKING: + from src.chat.heart_flow.sub_heartflow import SubHeartflow logger = get_logger("chat") @@ -27,16 +29,16 @@ async def _process_relationship(message: MessageRecv) -> None: message: 消息对象,包含用户信息 """ platform = message.message_info.platform - user_id = message.message_info.user_info.user_id - nickname = message.message_info.user_info.user_nickname - cardname = message.message_info.user_info.user_cardname or nickname + user_id = message.message_info.user_info.user_id # type: ignore + nickname = message.message_info.user_info.user_nickname # type: ignore + cardname = message.message_info.user_info.user_cardname or nickname # type: ignore relationship_manager = get_relationship_manager() is_known = await relationship_manager.is_known_some_one(platform, user_id) if not is_known: logger.info(f"首次认识用户: {nickname}") - await relationship_manager.first_knowing_some_one(platform, user_id, nickname, cardname) + await relationship_manager.first_knowing_some_one(platform, user_id, nickname, cardname) # type: ignore async def _calculate_interest(message: MessageRecv) -> Tuple[float, bool]: @@ -96,31 +98,24 @@ class HeartFCMessageReceiver: """ try: # 1. 消息解析与初始化 - groupinfo = message.message_info.group_info userinfo = message.message_info.user_info - messageinfo = message.message_info - - chat = await get_chat_manager().get_or_create_stream( - platform=messageinfo.platform, - user_info=userinfo, - group_info=groupinfo, - ) + chat = message.chat_stream + # 2. 兴趣度计算与更新 interested_rate, is_mentioned = await _calculate_interest(message) message.interest_value = interested_rate message.is_mentioned = is_mentioned - + await self.storage.store_message(message, chat) - subheartflow = await heartflow.get_or_create_subheartflow(chat.stream_id) - message.update_chat_stream(chat) - + subheartflow: SubHeartflow = await heartflow.get_or_create_subheartflow(chat.stream_id) # type: ignore + # subheartflow.add_message_to_normal_chat_cache(message, interested_rate, is_mentioned) - chat_mood = mood_manager.get_mood_by_chat_id(subheartflow.chat_id) + chat_mood = mood_manager.get_mood_by_chat_id(subheartflow.chat_id) # type: ignore asyncio.create_task(chat_mood.update_mood_by_message(message, interested_rate)) - # 7. 日志记录 + # 3. 日志记录 mes_name = chat.group_info.group_name if chat.group_info else "私聊" # current_time = time.strftime("%H:%M:%S", time.localtime(message.message_info.time)) current_talk_frequency = global_config.chat.get_current_talk_frequency(chat.stream_id) @@ -129,11 +124,11 @@ class HeartFCMessageReceiver: picid_pattern = r"\[picid:([^\]]+)\]" processed_plain_text = re.sub(picid_pattern, "[图片]", message.processed_plain_text) - logger.info(f"[{mes_name}]{userinfo.user_nickname}:{processed_plain_text}") + logger.info(f"[{mes_name}]{userinfo.user_nickname}:{processed_plain_text}") # type: ignore logger.debug(f"[{mes_name}][当前时段回复频率: {current_talk_frequency}]") - # 8. 关系处理 + # 4. 关系处理 if global_config.relationship.enable_relationship: await _process_relationship(message) diff --git a/src/chat/heart_flow/sub_heartflow.py b/src/chat/heart_flow/sub_heartflow.py index 6247e6d1d..dbc417aad 100644 --- a/src/chat/heart_flow/sub_heartflow.py +++ b/src/chat/heart_flow/sub_heartflow.py @@ -1,13 +1,9 @@ -import asyncio -import time -from typing import Optional -import traceback +from rich.traceback import install + from src.common.logger import get_logger from src.chat.message_receive.chat_stream import get_chat_manager from src.chat.focus_chat.heartFC_chat import HeartFChatting from src.chat.utils.utils import get_chat_type_and_target_info -from src.config.config import global_config -from rich.traceback import install logger = get_logger("sub_heartflow") @@ -28,108 +24,105 @@ class SubHeartflow: self.subheartflow_id = subheartflow_id self.chat_id = subheartflow_id - self.is_group_chat, self.chat_target_info = get_chat_type_and_target_info(self.chat_id) self.log_prefix = get_chat_manager().get_stream_name(self.subheartflow_id) or self.subheartflow_id - + # focus模式退出冷却时间管理 self.last_focus_exit_time: float = 0 # 上次退出focus模式的时间 # 随便水群 normal_chat 和 认真水群 focus_chat 实例 # CHAT模式激活 随便水群 FOCUS模式激活 认真水群 - self.heart_fc_instance: Optional[HeartFChatting] = HeartFChatting( - chat_id=self.subheartflow_id, - ) # 该sub_heartflow的HeartFChatting实例 + self.heart_fc_instance: HeartFChatting = HeartFChatting( + chat_id=self.subheartflow_id, + ) # 该sub_heartflow的HeartFChatting实例 async def initialize(self): """异步初始化方法,创建兴趣流并确定聊天类型""" await self.heart_fc_instance.start() - async def _stop_heart_fc_chat(self): - """停止并清理 HeartFChatting 实例""" - if self.heart_fc_instance.running: - logger.info(f"{self.log_prefix} 结束专注聊天...") - try: - await self.heart_fc_instance.shutdown() - except Exception as e: - logger.error(f"{self.log_prefix} 关闭 HeartFChatting 实例时出错: {e}") - logger.error(traceback.format_exc()) - else: - logger.info(f"{self.log_prefix} 没有专注聊天实例,无需停止专注聊天") + # async def _stop_heart_fc_chat(self): + # """停止并清理 HeartFChatting 实例""" + # if self.heart_fc_instance.running: + # logger.info(f"{self.log_prefix} 结束专注聊天...") + # try: + # await self.heart_fc_instance.shutdown() + # except Exception as e: + # logger.error(f"{self.log_prefix} 关闭 HeartFChatting 实例时出错: {e}") + # logger.error(traceback.format_exc()) + # else: + # logger.info(f"{self.log_prefix} 没有专注聊天实例,无需停止专注聊天") - async def _start_heart_fc_chat(self) -> bool: - """启动 HeartFChatting 实例,确保 NormalChat 已停止""" - try: - # 如果任务已完成或不存在,则尝试重新启动 - if self.heart_fc_instance._loop_task is None or self.heart_fc_instance._loop_task.done(): - logger.info(f"{self.log_prefix} HeartFChatting 实例存在但循环未运行,尝试启动...") - try: - # 添加超时保护 - await asyncio.wait_for(self.heart_fc_instance.start(), timeout=15.0) - logger.info(f"{self.log_prefix} HeartFChatting 循环已启动。") - return True - except Exception as e: - logger.error(f"{self.log_prefix} 尝试启动现有 HeartFChatting 循环时出错: {e}") - logger.error(traceback.format_exc()) - # 出错时清理实例,准备重新创建 - self.heart_fc_instance = None - else: - # 任务正在运行 - logger.debug(f"{self.log_prefix} HeartFChatting 已在运行中。") - return True # 已经在运行 + # async def _start_heart_fc_chat(self) -> bool: + # """启动 HeartFChatting 实例,确保 NormalChat 已停止""" + # try: + # # 如果任务已完成或不存在,则尝试重新启动 + # if self.heart_fc_instance._loop_task is None or self.heart_fc_instance._loop_task.done(): + # logger.info(f"{self.log_prefix} HeartFChatting 实例存在但循环未运行,尝试启动...") + # try: + # # 添加超时保护 + # await asyncio.wait_for(self.heart_fc_instance.start(), timeout=15.0) + # logger.info(f"{self.log_prefix} HeartFChatting 循环已启动。") + # return True + # except Exception as e: + # logger.error(f"{self.log_prefix} 尝试启动现有 HeartFChatting 循环时出错: {e}") + # logger.error(traceback.format_exc()) + # # 出错时清理实例,准备重新创建 + # self.heart_fc_instance = None # type: ignore + # return False + # else: + # # 任务正在运行 + # logger.debug(f"{self.log_prefix} HeartFChatting 已在运行中。") + # return True # 已经在运行 - except Exception as e: - logger.error(f"{self.log_prefix} _start_heart_fc_chat 执行时出错: {e}") - logger.error(traceback.format_exc()) - return False - + # except Exception as e: + # logger.error(f"{self.log_prefix} _start_heart_fc_chat 执行时出错: {e}") + # logger.error(traceback.format_exc()) + # return False - def is_in_focus_cooldown(self) -> bool: - """检查是否在focus模式的冷却期内 + # def is_in_focus_cooldown(self) -> bool: + # """检查是否在focus模式的冷却期内 - Returns: - bool: 如果在冷却期内返回True,否则返回False - """ - if self.last_focus_exit_time == 0: - return False + # Returns: + # bool: 如果在冷却期内返回True,否则返回False + # """ + # if self.last_focus_exit_time == 0: + # return False - # 基础冷却时间10分钟,受auto_focus_threshold调控 - base_cooldown = 10 * 60 # 10分钟转换为秒 - cooldown_duration = base_cooldown / global_config.chat.auto_focus_threshold + # # 基础冷却时间10分钟,受auto_focus_threshold调控 + # base_cooldown = 10 * 60 # 10分钟转换为秒 + # cooldown_duration = base_cooldown / global_config.chat.auto_focus_threshold - current_time = time.time() - elapsed_since_exit = current_time - self.last_focus_exit_time + # current_time = time.time() + # elapsed_since_exit = current_time - self.last_focus_exit_time - is_cooling = elapsed_since_exit < cooldown_duration + # is_cooling = elapsed_since_exit < cooldown_duration - if is_cooling: - remaining_time = cooldown_duration - elapsed_since_exit - remaining_minutes = remaining_time / 60 - logger.debug( - f"[{self.log_prefix}] focus冷却中,剩余时间: {remaining_minutes:.1f}分钟 (阈值: {global_config.chat.auto_focus_threshold})" - ) + # if is_cooling: + # remaining_time = cooldown_duration - elapsed_since_exit + # remaining_minutes = remaining_time / 60 + # logger.debug( + # f"[{self.log_prefix}] focus冷却中,剩余时间: {remaining_minutes:.1f}分钟 (阈值: {global_config.chat.auto_focus_threshold})" + # ) - return is_cooling + # return is_cooling - def get_cooldown_progress(self) -> float: - """获取冷却进度,返回0-1之间的值 + # def get_cooldown_progress(self) -> float: + # """获取冷却进度,返回0-1之间的值 - Returns: - float: 0表示刚开始冷却,1表示冷却完成 - """ - if self.last_focus_exit_time == 0: - return 1.0 # 没有冷却,返回1表示完全恢复 + # Returns: + # float: 0表示刚开始冷却,1表示冷却完成 + # """ + # if self.last_focus_exit_time == 0: + # return 1.0 # 没有冷却,返回1表示完全恢复 - # 基础冷却时间10分钟,受auto_focus_threshold调控 - base_cooldown = 10 * 60 # 10分钟转换为秒 - cooldown_duration = base_cooldown / global_config.chat.auto_focus_threshold + # # 基础冷却时间10分钟,受auto_focus_threshold调控 + # base_cooldown = 10 * 60 # 10分钟转换为秒 + # cooldown_duration = base_cooldown / global_config.chat.auto_focus_threshold - current_time = time.time() - elapsed_since_exit = current_time - self.last_focus_exit_time + # current_time = time.time() + # elapsed_since_exit = current_time - self.last_focus_exit_time - if elapsed_since_exit >= cooldown_duration: - return 1.0 # 冷却完成 + # if elapsed_since_exit >= cooldown_duration: + # return 1.0 # 冷却完成 - # 计算进度:0表示刚开始冷却,1表示冷却完成 - progress = elapsed_since_exit / cooldown_duration - return progress + # return elapsed_since_exit / cooldown_duration diff --git a/src/chat/memory_system/Hippocampus.py b/src/chat/memory_system/Hippocampus.py index 165a6ac45..b999379ac 100644 --- a/src/chat/memory_system/Hippocampus.py +++ b/src/chat/memory_system/Hippocampus.py @@ -42,7 +42,7 @@ def calculate_information_content(text): return entropy -def cosine_similarity(v1, v2): +def cosine_similarity(v1, v2): # sourcery skip: assign-if-exp, reintroduce-else """计算余弦相似度""" dot_product = np.dot(v1, v2) norm1 = np.linalg.norm(v1) @@ -89,14 +89,13 @@ class MemoryGraph: if not isinstance(self.G.nodes[concept]["memory_items"], list): self.G.nodes[concept]["memory_items"] = [self.G.nodes[concept]["memory_items"]] self.G.nodes[concept]["memory_items"].append(memory) - # 更新最后修改时间 - self.G.nodes[concept]["last_modified"] = current_time else: self.G.nodes[concept]["memory_items"] = [memory] # 如果节点存在但没有memory_items,说明是第一次添加memory,设置created_time if "created_time" not in self.G.nodes[concept]: self.G.nodes[concept]["created_time"] = current_time - self.G.nodes[concept]["last_modified"] = current_time + # 更新最后修改时间 + self.G.nodes[concept]["last_modified"] = current_time else: # 如果是新节点,创建新的记忆列表 self.G.add_node( @@ -108,11 +107,7 @@ class MemoryGraph: def get_dot(self, concept): # 检查节点是否存在于图中 - if concept in self.G: - # 从图中获取节点数据 - node_data = self.G.nodes[concept] - return concept, node_data - return None + return (concept, self.G.nodes[concept]) if concept in self.G else None def get_related_item(self, topic, depth=1): if topic not in self.G: @@ -139,8 +134,7 @@ class MemoryGraph: if depth >= 2: # 获取相邻节点的记忆项 for neighbor in neighbors: - node_data = self.get_dot(neighbor) - if node_data: + if node_data := self.get_dot(neighbor): concept, data = node_data if "memory_items" in data: memory_items = data["memory_items"] @@ -194,9 +188,9 @@ class MemoryGraph: class Hippocampus: def __init__(self): self.memory_graph = MemoryGraph() - self.model_summary = None - self.entorhinal_cortex = None - self.parahippocampal_gyrus = None + self.model_summary: LLMRequest = None # type: ignore + self.entorhinal_cortex: EntorhinalCortex = None # type: ignore + self.parahippocampal_gyrus: ParahippocampalGyrus = None # type: ignore def initialize(self): # 初始化子组件 @@ -218,7 +212,7 @@ class Hippocampus: memory_items = [memory_items] if memory_items else [] # 使用集合来去重,避免排序 - unique_items = set(str(item) for item in memory_items) + unique_items = {str(item) for item in memory_items} # 使用frozenset来保证顺序一致性 content = f"{concept}:{frozenset(unique_items)}" return hash(content) @@ -231,6 +225,7 @@ class Hippocampus: @staticmethod def find_topic_llm(text, topic_num): + # sourcery skip: inline-immediately-returned-variable prompt = ( f"这是一段文字:\n{text}\n\n请你从这段话中总结出最多{topic_num}个关键的概念,可以是名词,动词,或者特定人物,帮我列出来," f"将主题用逗号隔开,并加上<>,例如<主题1>,<主题2>......尽可能精简。只需要列举最多{topic_num}个话题就好,不要有序号,不要告诉我其他内容。" @@ -240,6 +235,7 @@ class Hippocampus: @staticmethod def topic_what(text, topic): + # sourcery skip: inline-immediately-returned-variable # 不再需要 time_info 参数 prompt = ( f'这是一段文字:\n{text}\n\n我想让你基于这段文字来概括"{topic}"这个概念,帮我总结成一句自然的话,' @@ -480,9 +476,7 @@ class Hippocampus: top_memories = memory_similarities[:max_memory_length] # 添加到结果中 - for memory, similarity in top_memories: - all_memories.append((node, [memory], similarity)) - # logger.info(f"选中记忆: {memory} (相似度: {similarity:.2f})") + all_memories.extend((node, [memory], similarity) for memory, similarity in top_memories) else: logger.info("节点没有记忆") @@ -646,9 +640,7 @@ class Hippocampus: top_memories = memory_similarities[:max_memory_length] # 添加到结果中 - for memory, similarity in top_memories: - all_memories.append((node, [memory], similarity)) - # logger.info(f"选中记忆: {memory} (相似度: {similarity:.2f})") + all_memories.extend((node, [memory], similarity) for memory, similarity in top_memories) else: logger.info("节点没有记忆") @@ -823,11 +815,11 @@ class EntorhinalCortex: logger.debug(f"回忆往事: {readable_timestamp}") chat_samples = [] for timestamp in timestamps: - # 调用修改后的 random_get_msg_snippet - messages = self.random_get_msg_snippet( - timestamp, global_config.memory.memory_build_sample_length, max_memorized_time_per_msg - ) - if messages: + if messages := self.random_get_msg_snippet( + timestamp, + global_config.memory.memory_build_sample_length, + max_memorized_time_per_msg, + ): time_diff = (datetime.datetime.now().timestamp() - timestamp) / 3600 logger.info(f"成功抽取 {time_diff:.1f} 小时前的消息样本,共{len(messages)}条") chat_samples.append(messages) @@ -838,31 +830,30 @@ class EntorhinalCortex: @staticmethod def random_get_msg_snippet(target_timestamp: float, chat_size: int, max_memorized_time_per_msg: int) -> list | None: + # sourcery skip: invert-any-all, use-any, use-named-expression, use-next """从数据库中随机获取指定时间戳附近的消息片段 (使用 chat_message_builder)""" - try_count = 0 time_window_seconds = random.randint(300, 1800) # 随机时间窗口,5到30分钟 - while try_count < 3: + for _ in range(3): # 定义时间范围:从目标时间戳开始,向后推移 time_window_seconds timestamp_start = target_timestamp timestamp_end = target_timestamp + time_window_seconds - chosen_message = get_raw_msg_by_timestamp( - timestamp_start=timestamp_start, timestamp_end=timestamp_end, limit=1, limit_mode="earliest" - ) + if chosen_message := get_raw_msg_by_timestamp( + timestamp_start=timestamp_start, + timestamp_end=timestamp_end, + limit=1, + limit_mode="earliest", + ): + chat_id: str = chosen_message[0].get("chat_id") # type: ignore - if chosen_message: - chat_id = chosen_message[0].get("chat_id") - - messages = get_raw_msg_by_timestamp_with_chat( + if messages := get_raw_msg_by_timestamp_with_chat( timestamp_start=timestamp_start, timestamp_end=timestamp_end, limit=chat_size, limit_mode="earliest", chat_id=chat_id, - ) - - if messages: + ): # 检查获取到的所有消息是否都未达到最大记忆次数 all_valid = True for message in messages: @@ -882,8 +873,6 @@ class EntorhinalCortex: ).execute() return messages # 直接返回原始的消息列表 - # 如果获取失败或消息无效,增加尝试次数 - try_count += 1 target_timestamp -= 120 # 如果第一次尝试失败,稍微向前调整时间戳再试 # 三次尝试都失败,返回 None @@ -975,7 +964,7 @@ class EntorhinalCortex: ).execute() if nodes_to_delete: - GraphNodes.delete().where(GraphNodes.concept.in_(nodes_to_delete)).execute() + GraphNodes.delete().where(GraphNodes.concept.in_(nodes_to_delete)).execute() # type: ignore # 处理边的信息 db_edges = list(GraphEdges.select()) @@ -1075,19 +1064,17 @@ class EntorhinalCortex: try: memory_items = [str(item) for item in memory_items] - memory_items_json = json.dumps(memory_items, ensure_ascii=False) - if not memory_items_json: - continue + if memory_items_json := json.dumps(memory_items, ensure_ascii=False): + nodes_data.append( + { + "concept": concept, + "memory_items": memory_items_json, + "hash": self.hippocampus.calculate_node_hash(concept, memory_items), + "created_time": data.get("created_time", current_time), + "last_modified": data.get("last_modified", current_time), + } + ) - nodes_data.append( - { - "concept": concept, - "memory_items": memory_items_json, - "hash": self.hippocampus.calculate_node_hash(concept, memory_items), - "created_time": data.get("created_time", current_time), - "last_modified": data.get("last_modified", current_time), - } - ) except Exception as e: logger.error(f"准备节点 {concept} 数据时发生错误: {e}") continue @@ -1114,7 +1101,7 @@ class EntorhinalCortex: node_start = time.time() if nodes_data: batch_size = 500 # 增加批量大小 - with GraphNodes._meta.database.atomic(): + with GraphNodes._meta.database.atomic(): # type: ignore for i in range(0, len(nodes_data), batch_size): batch = nodes_data[i : i + batch_size] GraphNodes.insert_many(batch).execute() @@ -1125,7 +1112,7 @@ class EntorhinalCortex: edge_start = time.time() if edges_data: batch_size = 500 # 增加批量大小 - with GraphEdges._meta.database.atomic(): + with GraphEdges._meta.database.atomic(): # type: ignore for i in range(0, len(edges_data), batch_size): batch = edges_data[i : i + batch_size] GraphEdges.insert_many(batch).execute() @@ -1279,7 +1266,7 @@ class ParahippocampalGyrus: # 3. 过滤掉包含禁用关键词的topic filtered_topics = [ - topic for topic in topics if not any(keyword in topic for keyword in global_config.memory.memory_ban_words) + topic for topic in topics if all(keyword not in topic for keyword in global_config.memory.memory_ban_words) ] logger.debug(f"过滤后话题: {filtered_topics}") @@ -1489,32 +1476,30 @@ class ParahippocampalGyrus: # --- 如果节点不为空,则执行原来的不活跃检查和随机移除逻辑 --- last_modified = node_data.get("last_modified", current_time) # 条件1:检查是否长时间未修改 (超过24小时) - if current_time - last_modified > 3600 * 24: - # 条件2:再次确认节点包含记忆项(理论上已确认,但作为保险) - if memory_items: - current_count = len(memory_items) - # 如果列表非空,才进行随机选择 - if current_count > 0: - removed_item = random.choice(memory_items) - try: - memory_items.remove(removed_item) + if current_time - last_modified > 3600 * 24 and memory_items: + current_count = len(memory_items) + # 如果列表非空,才进行随机选择 + if current_count > 0: + removed_item = random.choice(memory_items) + try: + memory_items.remove(removed_item) - # 条件3:检查移除后 memory_items 是否变空 - if memory_items: # 如果移除后列表不为空 - # self.memory_graph.G.nodes[node]["memory_items"] = memory_items # 直接修改列表即可 - self.memory_graph.G.nodes[node]["last_modified"] = current_time # 更新修改时间 - node_changes["reduced"].append(f"{node} (数量: {current_count} -> {len(memory_items)})") - else: # 如果移除后列表为空 - # 尝试移除节点,处理可能的错误 - try: - self.memory_graph.G.remove_node(node) - node_changes["removed"].append(f"{node}(遗忘清空)") # 标记为遗忘清空 - logger.debug(f"[遗忘] 节点 {node} 因移除最后一项而被清空。") - except nx.NetworkXError as e: - logger.warning(f"[遗忘] 尝试移除节点 {node} 时发生错误(可能已被移除):{e}") - except ValueError: - # 这个错误理论上不应发生,因为 removed_item 来自 memory_items - logger.warning(f"[遗忘] 尝试从节点 '{node}' 移除不存在的项目 '{removed_item[:30]}...'") + # 条件3:检查移除后 memory_items 是否变空 + if memory_items: # 如果移除后列表不为空 + # self.memory_graph.G.nodes[node]["memory_items"] = memory_items # 直接修改列表即可 + self.memory_graph.G.nodes[node]["last_modified"] = current_time # 更新修改时间 + node_changes["reduced"].append(f"{node} (数量: {current_count} -> {len(memory_items)})") + else: # 如果移除后列表为空 + # 尝试移除节点,处理可能的错误 + try: + self.memory_graph.G.remove_node(node) + node_changes["removed"].append(f"{node}(遗忘清空)") # 标记为遗忘清空 + logger.debug(f"[遗忘] 节点 {node} 因移除最后一项而被清空。") + except nx.NetworkXError as e: + logger.warning(f"[遗忘] 尝试移除节点 {node} 时发生错误(可能已被移除):{e}") + except ValueError: + # 这个错误理论上不应发生,因为 removed_item 来自 memory_items + logger.warning(f"[遗忘] 尝试从节点 '{node}' 移除不存在的项目 '{removed_item[:30]}...'") node_check_end = time.time() logger.info(f"[遗忘] 节点检查耗时: {node_check_end - node_check_start:.2f}秒") @@ -1669,7 +1654,7 @@ class ParahippocampalGyrus: class HippocampusManager: def __init__(self): - self._hippocampus = None + self._hippocampus: Hippocampus = None # type: ignore self._initialized = False def initialize(self): diff --git a/src/chat/memory_system/memory_activator.py b/src/chat/memory_system/memory_activator.py index 560fe01a6..66ff89755 100644 --- a/src/chat/memory_system/memory_activator.py +++ b/src/chat/memory_system/memory_activator.py @@ -13,7 +13,7 @@ from json_repair import repair_json logger = get_logger("memory_activator") -def get_keywords_from_json(json_str): +def get_keywords_from_json(json_str) -> List: """ 从JSON字符串中提取关键词列表 @@ -28,15 +28,8 @@ def get_keywords_from_json(json_str): fixed_json = repair_json(json_str) # 如果repair_json返回的是字符串,需要解析为Python对象 - if isinstance(fixed_json, str): - result = json.loads(fixed_json) - else: - # 如果repair_json直接返回了字典对象,直接使用 - result = fixed_json - - # 提取关键词 - keywords = result.get("keywords", []) - return keywords + result = json.loads(fixed_json) if isinstance(fixed_json, str) else fixed_json + return result.get("keywords", []) except Exception as e: logger.error(f"解析关键词JSON失败: {e}") return [] diff --git a/src/chat/memory_system/sample_distribution.py b/src/chat/memory_system/sample_distribution.py index b3b84eb4c..d1dc3a22d 100644 --- a/src/chat/memory_system/sample_distribution.py +++ b/src/chat/memory_system/sample_distribution.py @@ -1,52 +1,10 @@ import numpy as np -from scipy import stats from datetime import datetime, timedelta from rich.traceback import install install(extra_lines=3) -class DistributionVisualizer: - def __init__(self, mean=0, std=1, skewness=0, sample_size=10): - """ - 初始化分布可视化器 - - 参数: - mean (float): 期望均值 - std (float): 标准差 - skewness (float): 偏度 - sample_size (int): 样本大小 - """ - self.mean = mean - self.std = std - self.skewness = skewness - self.sample_size = sample_size - self.samples = None - - def generate_samples(self): - """生成具有指定参数的样本""" - if self.skewness == 0: - # 对于无偏度的情况,直接使用正态分布 - self.samples = np.random.normal(loc=self.mean, scale=self.std, size=self.sample_size) - else: - # 使用 scipy.stats 生成具有偏度的分布 - self.samples = stats.skewnorm.rvs(a=self.skewness, loc=self.mean, scale=self.std, size=self.sample_size) - - def get_weighted_samples(self): - """获取加权后的样本数列""" - if self.samples is None: - self.generate_samples() - # 将样本值乘以样本大小 - return self.samples * self.sample_size - - def get_statistics(self): - """获取分布的统计信息""" - if self.samples is None: - self.generate_samples() - - return {"均值": np.mean(self.samples), "标准差": np.std(self.samples), "实际偏度": stats.skew(self.samples)} - - class MemoryBuildScheduler: def __init__(self, n_hours1, std_hours1, weight1, n_hours2, std_hours2, weight2, total_samples=50): """ @@ -108,61 +66,61 @@ class MemoryBuildScheduler: return [int(t.timestamp()) for t in timestamps] -def print_time_samples(timestamps, show_distribution=True): - """打印时间样本和分布信息""" - print(f"\n生成的{len(timestamps)}个时间点分布:") - print("序号".ljust(5), "时间戳".ljust(25), "距现在(小时)") - print("-" * 50) +# def print_time_samples(timestamps, show_distribution=True): +# """打印时间样本和分布信息""" +# print(f"\n生成的{len(timestamps)}个时间点分布:") +# print("序号".ljust(5), "时间戳".ljust(25), "距现在(小时)") +# print("-" * 50) - now = datetime.now() - time_diffs = [] +# now = datetime.now() +# time_diffs = [] - for i, timestamp in enumerate(timestamps, 1): - hours_diff = (now - timestamp).total_seconds() / 3600 - time_diffs.append(hours_diff) - print(f"{str(i).ljust(5)} {timestamp.strftime('%Y-%m-%d %H:%M:%S').ljust(25)} {hours_diff:.2f}") +# for i, timestamp in enumerate(timestamps, 1): +# hours_diff = (now - timestamp).total_seconds() / 3600 +# time_diffs.append(hours_diff) +# print(f"{str(i).ljust(5)} {timestamp.strftime('%Y-%m-%d %H:%M:%S').ljust(25)} {hours_diff:.2f}") - # 打印统计信息 - print("\n统计信息:") - print(f"平均时间偏移:{np.mean(time_diffs):.2f}小时") - print(f"标准差:{np.std(time_diffs):.2f}小时") - print(f"最早时间:{min(timestamps).strftime('%Y-%m-%d %H:%M:%S')} ({max(time_diffs):.2f}小时前)") - print(f"最近时间:{max(timestamps).strftime('%Y-%m-%d %H:%M:%S')} ({min(time_diffs):.2f}小时前)") +# # 打印统计信息 +# print("\n统计信息:") +# print(f"平均时间偏移:{np.mean(time_diffs):.2f}小时") +# print(f"标准差:{np.std(time_diffs):.2f}小时") +# print(f"最早时间:{min(timestamps).strftime('%Y-%m-%d %H:%M:%S')} ({max(time_diffs):.2f}小时前)") +# print(f"最近时间:{max(timestamps).strftime('%Y-%m-%d %H:%M:%S')} ({min(time_diffs):.2f}小时前)") - if show_distribution: - # 计算时间分布的直方图 - hist, bins = np.histogram(time_diffs, bins=40) - print("\n时间分布(每个*代表一个时间点):") - for i in range(len(hist)): - if hist[i] > 0: - print(f"{bins[i]:6.1f}-{bins[i + 1]:6.1f}小时: {'*' * int(hist[i])}") +# if show_distribution: +# # 计算时间分布的直方图 +# hist, bins = np.histogram(time_diffs, bins=40) +# print("\n时间分布(每个*代表一个时间点):") +# for i in range(len(hist)): +# if hist[i] > 0: +# print(f"{bins[i]:6.1f}-{bins[i + 1]:6.1f}小时: {'*' * int(hist[i])}") -# 使用示例 -if __name__ == "__main__": - # 创建一个双峰分布的记忆调度器 - scheduler = MemoryBuildScheduler( - n_hours1=12, # 第一个分布均值(12小时前) - std_hours1=8, # 第一个分布标准差 - weight1=0.7, # 第一个分布权重 70% - n_hours2=36, # 第二个分布均值(36小时前) - std_hours2=24, # 第二个分布标准差 - weight2=0.3, # 第二个分布权重 30% - total_samples=50, # 总共生成50个时间点 - ) +# # 使用示例 +# if __name__ == "__main__": +# # 创建一个双峰分布的记忆调度器 +# scheduler = MemoryBuildScheduler( +# n_hours1=12, # 第一个分布均值(12小时前) +# std_hours1=8, # 第一个分布标准差 +# weight1=0.7, # 第一个分布权重 70% +# n_hours2=36, # 第二个分布均值(36小时前) +# std_hours2=24, # 第二个分布标准差 +# weight2=0.3, # 第二个分布权重 30% +# total_samples=50, # 总共生成50个时间点 +# ) - # 生成时间分布 - timestamps = scheduler.generate_time_samples() +# # 生成时间分布 +# timestamps = scheduler.generate_time_samples() - # 打印结果,包含分布可视化 - print_time_samples(timestamps, show_distribution=True) +# # 打印结果,包含分布可视化 +# print_time_samples(timestamps, show_distribution=True) - # 打印时间戳数组 - timestamp_array = scheduler.get_timestamp_array() - print("\n时间戳数组(Unix时间戳):") - print("[", end="") - for i, ts in enumerate(timestamp_array): - if i > 0: - print(", ", end="") - print(ts, end="") - print("]") +# # 打印时间戳数组 +# timestamp_array = scheduler.get_timestamp_array() +# print("\n时间戳数组(Unix时间戳):") +# print("[", end="") +# for i, ts in enumerate(timestamp_array): +# if i > 0: +# print(", ", end="") +# print(ts, end="") +# print("]") diff --git a/src/chat/message_receive/bot.py b/src/chat/message_receive/bot.py index 7dabd7375..13e2a743e 100644 --- a/src/chat/message_receive/bot.py +++ b/src/chat/message_receive/bot.py @@ -1,22 +1,25 @@ import traceback import os +import re + from typing import Dict, Any +from maim_message import UserInfo from src.common.logger import get_logger +from src.config.config import global_config from src.mood.mood_manager import mood_manager # 导入情绪管理器 -from src.chat.message_receive.chat_stream import get_chat_manager +from src.chat.message_receive.chat_stream import get_chat_manager, ChatStream from src.chat.message_receive.message import MessageRecv -from src.experimental.only_message_process import MessageProcessor from src.chat.message_receive.storage import MessageStorage from src.chat.heart_flow.heartflow_message_processor import HeartFCMessageReceiver from src.chat.utils.prompt_builder import Prompt, global_prompt_manager -from src.config.config import global_config +from src.experimental.only_message_process import MessageProcessor +from src.experimental.PFC.pfc_manager import PFCManager from src.plugin_system.core.component_registry import component_registry # 导入新插件系统 from src.plugin_system.base.base_command import BaseCommand from src.mais4u.mais4u_chat.s4u_msg_processor import S4UMessageProcessor -from maim_message import UserInfo -from src.chat.message_receive.chat_stream import ChatStream -import re + + # 定义日志配置 # 获取项目根目录(假设本文件在src/chat/message_receive/下,根目录为上上上级目录) @@ -182,8 +185,8 @@ class ChatBot: get_chat_manager().register_message(message) chat = await get_chat_manager().get_or_create_stream( - platform=message.message_info.platform, - user_info=user_info, + platform=message.message_info.platform, # type: ignore + user_info=user_info, # type: ignore group_info=group_info, ) @@ -193,8 +196,10 @@ class ChatBot: await message.process() # 过滤检查 - if _check_ban_words(message.processed_plain_text, chat, user_info) or _check_ban_regex( - message.raw_message, chat, user_info + if _check_ban_words(message.processed_plain_text, chat, user_info) or _check_ban_regex( # type: ignore + message.raw_message, # type: ignore + chat, + user_info, # type: ignore ): return diff --git a/src/chat/message_receive/chat_stream.py b/src/chat/message_receive/chat_stream.py index a82acc413..8b71314a6 100644 --- a/src/chat/message_receive/chat_stream.py +++ b/src/chat/message_receive/chat_stream.py @@ -3,18 +3,17 @@ import hashlib import time import copy from typing import Dict, Optional, TYPE_CHECKING - - -from ...common.database.database import db -from ...common.database.database_model import ChatStreams # 新增导入 +from rich.traceback import install from maim_message import GroupInfo, UserInfo +from src.common.logger import get_logger +from src.common.database.database import db +from src.common.database.database_model import ChatStreams # 新增导入 + # 避免循环导入,使用TYPE_CHECKING进行类型提示 if TYPE_CHECKING: from .message import MessageRecv -from src.common.logger import get_logger -from rich.traceback import install install(extra_lines=3) @@ -28,7 +27,7 @@ class ChatMessageContext: def __init__(self, message: "MessageRecv"): self.message = message - def get_template_name(self) -> str: + def get_template_name(self) -> Optional[str]: """获取模板名称""" if self.message.message_info.template_info and not self.message.message_info.template_info.template_default: return self.message.message_info.template_info.template_name @@ -39,11 +38,12 @@ class ChatMessageContext: return self.message def check_types(self, types: list) -> bool: + # sourcery skip: invert-any-all, use-any, use-next """检查消息类型""" - if not self.message.message_info.format_info.accept_format: + if not self.message.message_info.format_info.accept_format: # type: ignore return False for t in types: - if t not in self.message.message_info.format_info.accept_format: + if t not in self.message.message_info.format_info.accept_format: # type: ignore return False return True @@ -67,7 +67,7 @@ class ChatStream: platform: str, user_info: UserInfo, group_info: Optional[GroupInfo] = None, - data: dict = None, + data: Optional[dict] = None, ): self.stream_id = stream_id self.platform = platform @@ -76,7 +76,7 @@ class ChatStream: self.create_time = data.get("create_time", time.time()) if data else time.time() self.last_active_time = data.get("last_active_time", self.create_time) if data else self.create_time self.saved = False - self.context: ChatMessageContext = None # 用于存储该聊天的上下文信息 + self.context: ChatMessageContext = None # type: ignore # 用于存储该聊天的上下文信息 def to_dict(self) -> dict: """转换为字典格式""" @@ -98,7 +98,7 @@ class ChatStream: return cls( stream_id=data["stream_id"], platform=data["platform"], - user_info=user_info, + user_info=user_info, # type: ignore group_info=group_info, data=data, ) @@ -162,8 +162,8 @@ class ChatManager: def register_message(self, message: "MessageRecv"): """注册消息到聊天流""" stream_id = self._generate_stream_id( - message.message_info.platform, - message.message_info.user_info, + message.message_info.platform, # type: ignore + message.message_info.user_info, # type: ignore message.message_info.group_info, ) self.last_messages[stream_id] = message @@ -184,10 +184,7 @@ class ChatManager: def get_stream_id(self, platform: str, id: str, is_group: bool = True) -> str: """获取聊天流ID""" - if is_group: - components = [platform, str(id)] - else: - components = [platform, str(id), "private"] + components = [platform, id] if is_group else [platform, id, "private"] key = "_".join(components) return hashlib.md5(key.encode()).hexdigest() diff --git a/src/chat/message_receive/message.py b/src/chat/message_receive/message.py index 8cc06573c..511a4b704 100644 --- a/src/chat/message_receive/message.py +++ b/src/chat/message_receive/message.py @@ -1,17 +1,15 @@ import time -from abc import abstractmethod -from dataclasses import dataclass -from typing import Optional, Any, TYPE_CHECKING - import urllib3 -from src.common.logger import get_logger - -if TYPE_CHECKING: - from .chat_stream import ChatStream -from ..utils.utils_image import get_image_manager -from maim_message import Seg, UserInfo, BaseMessageInfo, MessageBase +from abc import abstractmethod +from dataclasses import dataclass from rich.traceback import install +from typing import Optional, Any +from maim_message import Seg, UserInfo, BaseMessageInfo, MessageBase + +from src.common.logger import get_logger +from src.chat.utils.utils_image import get_image_manager +from .chat_stream import ChatStream install(extra_lines=3) @@ -27,7 +25,7 @@ urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) @dataclass class Message(MessageBase): - chat_stream: "ChatStream" = None + chat_stream: "ChatStream" = None # type: ignore reply: Optional["Message"] = None processed_plain_text: str = "" memorized_times: int = 0 @@ -55,7 +53,7 @@ class Message(MessageBase): ) # 调用父类初始化 - super().__init__(message_info=message_info, message_segment=message_segment, raw_message=None) + super().__init__(message_info=message_info, message_segment=message_segment, raw_message=None) # type: ignore self.chat_stream = chat_stream # 文本处理相关属性 @@ -66,6 +64,7 @@ class Message(MessageBase): self.reply = reply async def _process_message_segments(self, segment: Seg) -> str: + # sourcery skip: remove-unnecessary-else, swap-if-else-branches """递归处理消息段,转换为文字描述 Args: @@ -78,13 +77,13 @@ class Message(MessageBase): # 处理消息段列表 segments_text = [] for seg in segment.data: - processed = await self._process_message_segments(seg) + processed = await self._process_message_segments(seg) # type: ignore if processed: segments_text.append(processed) return " ".join(segments_text) else: # 处理单个消息段 - return await self._process_single_segment(segment) + return await self._process_single_segment(segment) # type: ignore @abstractmethod async def _process_single_segment(self, segment): @@ -113,7 +112,7 @@ class MessageRecv(Message): self.is_mentioned = None self.priority_mode = "interest" self.priority_info = None - self.interest_value = None + self.interest_value: float = None # type: ignore def update_chat_stream(self, chat_stream: "ChatStream"): self.chat_stream = chat_stream @@ -139,7 +138,7 @@ class MessageRecv(Message): if segment.type == "text": self.is_picid = False self.is_emoji = False - return segment.data + return segment.data # type: ignore elif segment.type == "image": # 如果是base64图片数据 if isinstance(segment.data, str): @@ -161,7 +160,7 @@ class MessageRecv(Message): elif segment.type == "mention_bot": self.is_picid = False self.is_emoji = False - self.is_mentioned = float(segment.data) + self.is_mentioned = float(segment.data) # type: ignore return "" elif segment.type == "priority_info": self.is_picid = False @@ -187,7 +186,7 @@ class MessageRecv(Message): """生成详细文本,包含时间和用户信息""" timestamp = self.message_info.time user_info = self.message_info.user_info - name = f"<{self.message_info.platform}:{user_info.user_id}:{user_info.user_nickname}:{user_info.user_cardname}>" + name = f"<{self.message_info.platform}:{user_info.user_id}:{user_info.user_nickname}:{user_info.user_cardname}>" # type: ignore return f"[{timestamp}] {name}: {self.processed_plain_text}\n" @@ -235,7 +234,7 @@ class MessageProcessBase(Message): """ try: if seg.type == "text": - return seg.data + return seg.data # type: ignore elif seg.type == "image": # 如果是base64图片数据 if isinstance(seg.data, str): @@ -251,7 +250,7 @@ class MessageProcessBase(Message): if self.reply and hasattr(self.reply, "processed_plain_text"): # print(f"self.reply.processed_plain_text: {self.reply.processed_plain_text}") # print(f"reply: {self.reply}") - return f"[回复<{self.reply.message_info.user_info.user_nickname}:{self.reply.message_info.user_info.user_id}> 的消息:{self.reply.processed_plain_text}]" + return f"[回复<{self.reply.message_info.user_info.user_nickname}:{self.reply.message_info.user_info.user_id}> 的消息:{self.reply.processed_plain_text}]" # type: ignore return None else: return f"[{seg.type}:{str(seg.data)}]" @@ -265,7 +264,7 @@ class MessageProcessBase(Message): timestamp = self.message_info.time user_info = self.message_info.user_info - name = f"<{self.message_info.platform}:{user_info.user_id}:{user_info.user_nickname}:{user_info.user_cardname}>" + name = f"<{self.message_info.platform}:{user_info.user_id}:{user_info.user_nickname}:{user_info.user_cardname}>" # type: ignore return f"[{timestamp}],{name} 说:{self.processed_plain_text}\n" @@ -314,7 +313,7 @@ class MessageSending(MessageProcessBase): is_emoji: bool = False, thinking_start_time: float = 0, apply_set_reply_logic: bool = False, - reply_to: str = None, + reply_to: str = None, # type: ignore ): # 调用父类初始化 super().__init__( @@ -347,7 +346,7 @@ class MessageSending(MessageProcessBase): self.message_segment = Seg( type="seglist", data=[ - Seg(type="reply", data=self.reply.message_info.message_id), + Seg(type="reply", data=self.reply.message_info.message_id), # type: ignore self.message_segment, ], ) @@ -367,10 +366,10 @@ class MessageSending(MessageProcessBase): ) -> "MessageSending": """从思考状态消息创建发送状态消息""" return cls( - message_id=thinking.message_info.message_id, + message_id=thinking.message_info.message_id, # type: ignore chat_stream=thinking.chat_stream, message_segment=message_segment, - bot_user_info=thinking.message_info.user_info, + bot_user_info=thinking.message_info.user_info, # type: ignore reply=thinking.reply, is_head=is_head, is_emoji=is_emoji, @@ -402,13 +401,11 @@ class MessageSet: if not isinstance(message, MessageSending): raise TypeError("MessageSet只能添加MessageSending类型的消息") self.messages.append(message) - self.messages.sort(key=lambda x: x.message_info.time) + self.messages.sort(key=lambda x: x.message_info.time) # type: ignore def get_message_by_index(self, index: int) -> Optional[MessageSending]: """通过索引获取消息""" - if 0 <= index < len(self.messages): - return self.messages[index] - return None + return self.messages[index] if 0 <= index < len(self.messages) else None def get_message_by_time(self, target_time: float) -> Optional[MessageSending]: """获取最接近指定时间的消息""" @@ -418,7 +415,7 @@ class MessageSet: left, right = 0, len(self.messages) - 1 while left < right: mid = (left + right) // 2 - if self.messages[mid].message_info.time < target_time: + if self.messages[mid].message_info.time < target_time: # type: ignore left = mid + 1 else: right = mid @@ -444,11 +441,8 @@ class MessageSet: def message_recv_from_dict(message_dict: dict) -> MessageRecv: - return MessageRecv( - - message_dict - - ) + return MessageRecv(message_dict) + def message_from_db_dict(db_dict: dict) -> MessageRecv: """从数据库字典创建MessageRecv实例""" @@ -492,4 +486,4 @@ def message_from_db_dict(db_dict: dict) -> MessageRecv: msg.is_emoji = db_dict.get("is_emoji", False) msg.is_picid = db_dict.get("is_picid", False) - return msg \ No newline at end of file + return msg diff --git a/src/chat/message_receive/storage.py b/src/chat/message_receive/storage.py index 9524a2779..820b534c3 100644 --- a/src/chat/message_receive/storage.py +++ b/src/chat/message_receive/storage.py @@ -2,11 +2,10 @@ import re import traceback from typing import Union -# from ...common.database.database import db # db is now Peewee's SqliteDatabase instance -from .message import MessageSending, MessageRecv -from .chat_stream import ChatStream -from ...common.database.database_model import Messages, RecalledMessages, Images # Import Peewee models +from src.common.database.database_model import Messages, RecalledMessages, Images from src.common.logger import get_logger +from .chat_stream import ChatStream +from .message import MessageSending, MessageRecv logger = get_logger("message_storage") @@ -55,7 +54,7 @@ class MessageStorage: is_picid = message.is_picid chat_info_dict = chat_stream.to_dict() - user_info_dict = message.message_info.user_info.to_dict() + user_info_dict = message.message_info.user_info.to_dict() # type: ignore # message_id 现在是 TextField,直接使用字符串值 msg_id = message.message_info.message_id @@ -67,7 +66,7 @@ class MessageStorage: Messages.create( message_id=msg_id, - time=float(message.message_info.time), + time=float(message.message_info.time), # type: ignore chat_id=chat_stream.stream_id, # Flattened chat_info reply_to=reply_to, @@ -121,7 +120,7 @@ class MessageStorage: try: # Assuming input 'time' is a string timestamp that can be converted to float current_time_float = float(time) - RecalledMessages.delete().where(RecalledMessages.time < (current_time_float - 300)).execute() + RecalledMessages.delete().where(RecalledMessages.time < (current_time_float - 300)).execute() # type: ignore except Exception: logger.exception("删除撤回消息失败") @@ -133,22 +132,19 @@ class MessageStorage: """更新最新一条匹配消息的message_id""" try: if message.message_segment.type == "notify": - mmc_message_id = message.message_segment.data.get("echo") - qq_message_id = message.message_segment.data.get("actual_id") + mmc_message_id = message.message_segment.data.get("echo") # type: ignore + qq_message_id = message.message_segment.data.get("actual_id") # type: ignore else: logger.info(f"更新消息ID错误,seg类型为{message.message_segment.type}") return if not qq_message_id: logger.info("消息不存在message_id,无法更新") return - # 查询最新一条匹配消息 - matched_message = ( + if matched_message := ( Messages.select().where((Messages.message_id == mmc_message_id)).order_by(Messages.time.desc()).first() - ) - - if matched_message: + ): # 更新找到的消息记录 - Messages.update(message_id=qq_message_id).where(Messages.id == matched_message.id).execute() + Messages.update(message_id=qq_message_id).where(Messages.id == matched_message.id).execute() # type: ignore logger.debug(f"更新消息ID成功: {matched_message.message_id} -> {qq_message_id}") else: logger.debug("未找到匹配的消息") @@ -173,10 +169,7 @@ class MessageStorage: image_record = ( Images.select().where(Images.description == description).order_by(Images.timestamp.desc()).first() ) - if image_record: - return f"[picid:{image_record.image_id}]" - else: - return match.group(0) # 保持原样 + return f"[picid:{image_record.image_id}]" if image_record else match.group(0) except Exception: return match.group(0) diff --git a/src/chat/message_receive/uni_message_sender.py b/src/chat/message_receive/uni_message_sender.py index 07eaaad97..e75f43634 100644 --- a/src/chat/message_receive/uni_message_sender.py +++ b/src/chat/message_receive/uni_message_sender.py @@ -1,15 +1,16 @@ import asyncio -from src.chat.message_receive.message import MessageSending -from src.common.message.api import get_global_api -from src.chat.message_receive.storage import MessageStorage -from src.chat.utils.utils import truncate_message -from src.common.logger import get_logger -from src.chat.utils.utils import calculate_typing_time -from rich.traceback import install import traceback -install(extra_lines=3) +from rich.traceback import install +from src.common.message.api import get_global_api +from src.common.logger import get_logger +from src.chat.message_receive.message import MessageSending +from src.chat.message_receive.storage import MessageStorage +from src.chat.utils.utils import truncate_message +from src.chat.utils.utils import calculate_typing_time + +install(extra_lines=3) logger = get_logger("sender") @@ -49,10 +50,10 @@ class HeartFCSender: """ if not message.chat_stream: logger.error("消息缺少 chat_stream,无法发送") - raise Exception("消息缺少 chat_stream,无法发送") + raise ValueError("消息缺少 chat_stream,无法发送") if not message.message_info or not message.message_info.message_id: logger.error("消息缺少 message_info 或 message_id,无法发送") - raise Exception("消息缺少 message_info 或 message_id,无法发送") + raise ValueError("消息缺少 message_info 或 message_id,无法发送") chat_id = message.chat_stream.stream_id message_id = message.message_info.message_id @@ -84,4 +85,3 @@ class HeartFCSender: except Exception as e: logger.error(f"[{chat_id}] 处理或存储消息 {message_id} 时出错: {e}") raise e - diff --git a/src/chat/planner_actions/action_manager.py b/src/chat/planner_actions/action_manager.py index 25b7fbe42..483ce9a3a 100644 --- a/src/chat/planner_actions/action_manager.py +++ b/src/chat/planner_actions/action_manager.py @@ -1,15 +1,12 @@ -from typing import Dict, List, Optional, Type, Any +from typing import Dict, List, Optional, Type from src.plugin_system.base.base_action import BaseAction from src.chat.message_receive.chat_stream import ChatStream from src.common.logger import get_logger from src.plugin_system.core.component_registry import component_registry -from src.plugin_system.base.component_types import ComponentType +from src.plugin_system.base.component_types import ComponentType, ActionActivationType, ChatMode, ActionInfo logger = get_logger("action_manager") -# 定义动作信息类型 -ActionInfo = Dict[str, Any] - class ActionManager: """ @@ -20,8 +17,8 @@ class ActionManager: # 类常量 DEFAULT_RANDOM_PROBABILITY = 0.3 - DEFAULT_MODE = "all" - DEFAULT_ACTIVATION_TYPE = "always" + DEFAULT_MODE = ChatMode.ALL + DEFAULT_ACTIVATION_TYPE = ActionActivationType.ALWAYS def __init__(self): """初始化动作管理器""" @@ -30,14 +27,11 @@ class ActionManager: # 当前正在使用的动作集合,默认加载默认动作 self._using_actions: Dict[str, ActionInfo] = {} - # 默认动作集,仅作为快照,用于恢复默认 - self._default_actions: Dict[str, ActionInfo] = {} - # 加载插件动作 self._load_plugin_actions() # 初始化时将默认动作加载到使用中的动作 - self._using_actions = self._default_actions.copy() + self._using_actions = component_registry.get_default_actions() def _load_plugin_actions(self) -> None: """ @@ -54,43 +48,15 @@ class ActionManager: def _load_plugin_system_actions(self) -> None: """从插件系统的component_registry加载Action组件""" try: - from src.plugin_system.core.component_registry import component_registry - from src.plugin_system.base.component_types import ComponentType - # 获取所有Action组件 - action_components = component_registry.get_components_by_type(ComponentType.ACTION) + action_components: Dict[str, ActionInfo] = component_registry.get_components_by_type(ComponentType.ACTION) # type: ignore for action_name, action_info in action_components.items(): if action_name in self._registered_actions: logger.debug(f"Action组件 {action_name} 已存在,跳过") continue - # 将插件系统的ActionInfo转换为ActionManager格式 - converted_action_info = { - "description": action_info.description, - "parameters": getattr(action_info, "action_parameters", {}), - "require": getattr(action_info, "action_require", []), - "associated_types": getattr(action_info, "associated_types", []), - "enable_plugin": action_info.enabled, - # 激活类型相关 - "focus_activation_type": action_info.focus_activation_type.value, - "normal_activation_type": action_info.normal_activation_type.value, - "random_activation_probability": action_info.random_activation_probability, - "llm_judge_prompt": action_info.llm_judge_prompt, - "activation_keywords": action_info.activation_keywords, - "keyword_case_sensitive": action_info.keyword_case_sensitive, - # 模式和并行设置 - "mode_enable": action_info.mode_enable.value, - "parallel_action": action_info.parallel_action, - # 插件信息 - "_plugin_name": getattr(action_info, "plugin_name", ""), - } - - self._registered_actions[action_name] = converted_action_info - - # 如果启用,也添加到默认动作集 - if action_info.enabled: - self._default_actions[action_name] = converted_action_info + self._registered_actions[action_name] = action_info logger.debug( f"从插件系统加载Action组件: {action_name} (插件: {getattr(action_info, 'plugin_name', 'unknown')})" @@ -133,7 +99,9 @@ class ActionManager: """ try: # 获取组件类 - 明确指定查询Action类型 - component_class = component_registry.get_component_class(action_name, ComponentType.ACTION) + component_class: Type[BaseAction] = component_registry.get_component_class( + action_name, ComponentType.ACTION + ) # type: ignore if not component_class: logger.warning(f"{log_prefix} 未找到Action组件: {action_name}") return None @@ -173,10 +141,6 @@ class ActionManager: """获取所有已注册的动作集""" return self._registered_actions.copy() - def get_default_actions(self) -> Dict[str, ActionInfo]: - """获取默认动作集""" - return self._default_actions.copy() - def get_using_actions(self) -> Dict[str, ActionInfo]: """获取当前正在使用的动作集合""" return self._using_actions.copy() @@ -221,31 +185,31 @@ class ActionManager: logger.debug(f"已从使用集中移除动作 {action_name}") return True - def add_action(self, action_name: str, description: str, parameters: Dict = None, require: List = None) -> bool: - """ - 添加新的动作到注册集 + # def add_action(self, action_name: str, description: str, parameters: Dict = None, require: List = None) -> bool: + # """ + # 添加新的动作到注册集 - Args: - action_name: 动作名称 - description: 动作描述 - parameters: 动作参数定义,默认为空字典 - require: 动作依赖项,默认为空列表 + # Args: + # action_name: 动作名称 + # description: 动作描述 + # parameters: 动作参数定义,默认为空字典 + # require: 动作依赖项,默认为空列表 - Returns: - bool: 添加是否成功 - """ - if action_name in self._registered_actions: - return False + # Returns: + # bool: 添加是否成功 + # """ + # if action_name in self._registered_actions: + # return False - if parameters is None: - parameters = {} - if require is None: - require = [] + # if parameters is None: + # parameters = {} + # if require is None: + # require = [] - action_info = {"description": description, "parameters": parameters, "require": require} + # action_info = {"description": description, "parameters": parameters, "require": require} - self._registered_actions[action_name] = action_info - return True + # self._registered_actions[action_name] = action_info + # return True def remove_action(self, action_name: str) -> bool: """从注册集移除指定动作""" @@ -264,10 +228,9 @@ class ActionManager: def restore_actions(self) -> None: """恢复到默认动作集""" - logger.debug( - f"恢复动作集: 从 {list(self._using_actions.keys())} 恢复到默认动作集 {list(self._default_actions.keys())}" - ) - self._using_actions = self._default_actions.copy() + actions_to_restore = list(self._using_actions.keys()) + self._using_actions = component_registry.get_default_actions() + logger.debug(f"恢复动作集: 从 {actions_to_restore} 恢复到默认动作集 {list(self._using_actions.keys())}") def add_system_action_if_needed(self, action_name: str) -> bool: """ @@ -297,4 +260,4 @@ class ActionManager: """ from src.plugin_system.core.component_registry import component_registry - return component_registry.get_component_class(action_name) + return component_registry.get_component_class(action_name) # type: ignore diff --git a/src/chat/planner_actions/action_modifier.py b/src/chat/planner_actions/action_modifier.py index fe0941fd9..7853a9b9d 100644 --- a/src/chat/planner_actions/action_modifier.py +++ b/src/chat/planner_actions/action_modifier.py @@ -1,15 +1,20 @@ -from typing import List, Any, Dict -from src.common.logger import get_logger -from src.chat.focus_chat.hfc_utils import CycleDetail -from src.chat.message_receive.chat_stream import get_chat_manager -from src.config.config import global_config -from src.llm_models.utils_model import LLMRequest import random import asyncio import hashlib import time +from typing import List, Any, Dict, TYPE_CHECKING + +from src.common.logger import get_logger +from src.config.config import global_config +from src.llm_models.utils_model import LLMRequest +from src.chat.focus_chat.hfc_utils import CycleDetail +from src.chat.message_receive.chat_stream import get_chat_manager, ChatMessageContext from src.chat.planner_actions.action_manager import ActionManager from src.chat.utils.chat_message_builder import get_raw_msg_before_timestamp_with_chat, build_readable_messages +from src.plugin_system.base.component_types import ChatMode, ActionInfo, ActionActivationType + +if TYPE_CHECKING: + from src.chat.message_receive.chat_stream import ChatStream logger = get_logger("action_manager") @@ -25,7 +30,7 @@ class ActionModifier: def __init__(self, action_manager: ActionManager, chat_id: str): """初始化动作处理器""" self.chat_id = chat_id - self.chat_stream = get_chat_manager().get_stream(self.chat_id) + self.chat_stream: ChatStream = get_chat_manager().get_stream(self.chat_id) # type: ignore self.log_prefix = f"[{get_chat_manager().get_stream_name(self.chat_id) or self.chat_id}]" self.action_manager = action_manager @@ -45,7 +50,7 @@ class ActionModifier: self, history_loop=None, message_content: str = "", - ): + ): # sourcery skip: use-named-expression """ 动作修改流程,整合传统观察处理和新的激活类型判定 @@ -82,9 +87,9 @@ class ActionModifier: # === 第一阶段:传统观察处理 === # if history_loop: - # removals_from_loop = await self.analyze_loop_actions(history_loop) - # if removals_from_loop: - # removals_s1.extend(removals_from_loop) + # removals_from_loop = await self.analyze_loop_actions(history_loop) + # if removals_from_loop: + # removals_s1.extend(removals_from_loop) # 检查动作的关联类型 chat_context = self.chat_stream.context @@ -125,15 +130,14 @@ class ActionModifier: f"{self.log_prefix} 动作修改流程结束,最终可用动作: {list(self.action_manager.get_using_actions().keys())}||移除记录: {removals_summary}" ) - def _check_action_associated_types(self, all_actions, chat_context): + def _check_action_associated_types(self, all_actions: Dict[str, ActionInfo], chat_context: ChatMessageContext): type_mismatched_actions = [] - for action_name, data in all_actions.items(): - if data.get("associated_types"): - if not chat_context.check_types(data["associated_types"]): - associated_types_str = ", ".join(data["associated_types"]) - reason = f"适配器不支持(需要: {associated_types_str})" - type_mismatched_actions.append((action_name, reason)) - logger.debug(f"{self.log_prefix}决定移除动作: {action_name},原因: {reason}") + for action_name, action_info in all_actions.items(): + if action_info.associated_types and not chat_context.check_types(action_info.associated_types): + associated_types_str = ", ".join(action_info.associated_types) + reason = f"适配器不支持(需要: {associated_types_str})" + type_mismatched_actions.append((action_name, reason)) + logger.debug(f"{self.log_prefix}决定移除动作: {action_name},原因: {reason}") return type_mismatched_actions async def _get_deactivated_actions_by_type( @@ -167,28 +171,28 @@ class ActionModifier: if activation_type == "always": continue # 总是激活,无需处理 - elif activation_type == "random": - probability = action_info.get("random_activation_probability", ActionManager.DEFAULT_RANDOM_PROBABILITY) - if not (random.random() < probability): + elif activation_type == ActionActivationType.RANDOM: + probability = action_info.random_activation_probability or ActionManager.DEFAULT_RANDOM_PROBABILITY + if random.random() >= probability: reason = f"RANDOM类型未触发(概率{probability})" deactivated_actions.append((action_name, reason)) logger.debug(f"{self.log_prefix}未激活动作: {action_name},原因: {reason}") - elif activation_type == "keyword": + elif activation_type == ActionActivationType.KEYWORD: if not self._check_keyword_activation(action_name, action_info, chat_content): - keywords = action_info.get("activation_keywords", []) + keywords = action_info.activation_keywords reason = f"关键词未匹配(关键词: {keywords})" deactivated_actions.append((action_name, reason)) logger.debug(f"{self.log_prefix}未激活动作: {action_name},原因: {reason}") - elif activation_type == "llm_judge": + elif activation_type == ActionActivationType.LLM_JUDGE: llm_judge_actions[action_name] = action_info elif activation_type == "never": reason = "激活类型为never" deactivated_actions.append((action_name, reason)) logger.debug(f"{self.log_prefix}未激活动作: {action_name},原因: 激活类型为never") - + else: logger.warning(f"{self.log_prefix}未知的激活类型: {activation_type},跳过处理") @@ -273,7 +277,7 @@ class ActionModifier: task_results = await asyncio.gather(*tasks, return_exceptions=True) # 处理结果并更新缓存 - for _, (action_name, result) in enumerate(zip(task_names, task_results, strict=False)): + for action_name, result in zip(task_names, task_results, strict=False): if isinstance(result, Exception): logger.error(f"{self.log_prefix}LLM判定action {action_name} 时出错: {result}") results[action_name] = False @@ -289,7 +293,7 @@ class ActionModifier: except Exception as e: logger.error(f"{self.log_prefix}并行LLM判定失败: {e}") # 如果并行执行失败,为所有任务返回False - for action_name in tasks_to_run.keys(): + for action_name in tasks_to_run: results[action_name] = False # 清理过期缓存 @@ -300,10 +304,11 @@ class ActionModifier: def _cleanup_expired_cache(self, current_time: float): """清理过期的缓存条目""" expired_keys = [] - for cache_key, cache_data in self._llm_judge_cache.items(): - if current_time - cache_data["timestamp"] > self._cache_expiry_time: - expired_keys.append(cache_key) - + expired_keys.extend( + cache_key + for cache_key, cache_data in self._llm_judge_cache.items() + if current_time - cache_data["timestamp"] > self._cache_expiry_time + ) for key in expired_keys: del self._llm_judge_cache[key] @@ -382,7 +387,7 @@ class ActionModifier: def _check_keyword_activation( self, action_name: str, - action_info: Dict[str, Any], + action_info: ActionInfo, chat_content: str = "", ) -> bool: """ @@ -399,8 +404,8 @@ class ActionModifier: bool: 是否应该激活此action """ - activation_keywords = action_info.get("activation_keywords", []) - case_sensitive = action_info.get("keyword_case_sensitive", False) + activation_keywords = action_info.activation_keywords + case_sensitive = action_info.keyword_case_sensitive if not activation_keywords: logger.warning(f"{self.log_prefix}动作 {action_name} 设置为关键词触发但未配置关键词") @@ -500,13 +505,13 @@ class ActionModifier: return removals - def get_available_actions_count(self,mode:str = "focus") -> int: + def get_available_actions_count(self, mode: str = "focus") -> int: """获取当前可用动作数量(排除默认的no_action)""" current_actions = self.action_manager.get_using_actions_for_mode(mode) # 排除no_action(如果存在) filtered_actions = {k: v for k, v in current_actions.items() if k != "no_action"} return len(filtered_actions) - + def should_skip_planning_for_no_reply(self) -> bool: """判断是否应该跳过规划过程""" current_actions = self.action_manager.get_using_actions_for_mode("focus") diff --git a/src/chat/planner_actions/planner.py b/src/chat/planner_actions/planner.py index 7cc428573..1dc8863ed 100644 --- a/src/chat/planner_actions/planner.py +++ b/src/chat/planner_actions/planner.py @@ -1,23 +1,26 @@ -import json # <--- 确保导入 json +import json +import time import traceback from typing import Dict, Any, Optional from rich.traceback import install +from datetime import datetime +from json_repair import repair_json + from src.llm_models.utils_model import LLMRequest from src.config.config import global_config from src.common.logger import get_logger from src.chat.utils.prompt_builder import Prompt, global_prompt_manager -from src.chat.planner_actions.action_manager import ActionManager -from json_repair import repair_json -from src.chat.utils.utils import get_chat_type_and_target_info -from datetime import datetime -from src.chat.message_receive.chat_stream import get_chat_manager from src.chat.utils.chat_message_builder import ( build_readable_actions, - build_readable_messages, get_actions_by_timestamp_with_chat, + build_readable_messages, get_raw_msg_before_timestamp_with_chat, ) -import time +from src.chat.utils.utils import get_chat_type_and_target_info +from src.chat.planner_actions.action_manager import ActionManager +from src.chat.message_receive.chat_stream import get_chat_manager +from src.plugin_system.base.component_types import ChatMode, ActionInfo + logger = get_logger("planner") @@ -28,7 +31,7 @@ def init_prompt(): Prompt( """ {time_block} -{indentify_block} +{identity_block} 你现在需要根据聊天内容,选择的合适的action来参与聊天。 {chat_context_description},以下是具体的聊天内容: {chat_content_block} @@ -76,7 +79,7 @@ class ActionPlanner: self.last_obs_time_mark = 0.0 - async def plan(self,mode:str = "focus") -> Dict[str, Any]: + async def plan(self, mode: str = "focus") -> Dict[str, Dict[str, Any]]: # sourcery skip: dict-comprehension """ 规划器 (Planner): 使用LLM根据上下文决定做出什么动作。 """ @@ -84,6 +87,7 @@ class ActionPlanner: action = "no_reply" # 默认动作 reasoning = "规划器初始化默认" action_data = {} + current_available_actions: Dict[str, ActionInfo] = {} try: is_group_chat = True @@ -95,7 +99,7 @@ class ActionPlanner: # 获取完整的动作信息 all_registered_actions = self.action_manager.get_registered_actions() - current_available_actions = {} + for action_name in current_available_actions_dict.keys(): if action_name in all_registered_actions: current_available_actions[action_name] = all_registered_actions[action_name] @@ -111,7 +115,11 @@ class ActionPlanner: reasoning = "没有可用的动作" logger.info(f"{self.log_prefix}{reasoning}") return { - "action_result": {"action_type": action, "action_data": action_data, "reasoning": reasoning}, + "action_result": { + "action_type": action, + "action_data": action_data, + "reasoning": reasoning, + }, } # --- 构建提示词 (调用修改后的 PromptBuilder 方法) --- @@ -140,7 +148,7 @@ class ActionPlanner: except Exception as req_e: logger.error(f"{self.log_prefix}LLM 请求执行失败: {req_e}") - reasoning = f"LLM 请求失败,你的模型出现问题: {req_e}" + reasoning = f"LLM 请求失败,模型出现问题: {req_e}" action = "no_reply" if llm_content: @@ -162,7 +170,6 @@ class ActionPlanner: reasoning = parsed_json.get("reasoning", "未提供原因") # 将所有其他属性添加到action_data - action_data = {} for key, value in parsed_json.items(): if key not in ["action", "reasoning"]: action_data[key] = value @@ -173,8 +180,8 @@ class ActionPlanner: logger.warning( f"{self.log_prefix}LLM 返回了当前不可用或无效的动作: '{action}' (可用: {list(current_available_actions.keys())}),将强制使用 'no_reply'" ) - action = "no_reply" reasoning = f"LLM 返回了当前不可用的动作 '{action}' (可用: {list(current_available_actions.keys())})。原始理由: {reasoning}" + action = "no_reply" except Exception as json_e: logger.warning(f"{self.log_prefix}解析LLM响应JSON失败 {json_e}. LLM原始输出: '{llm_content}'") @@ -190,8 +197,7 @@ class ActionPlanner: is_parallel = False if action in current_available_actions: - action_info = current_available_actions[action] - is_parallel = action_info.get("parallel_action", False) + is_parallel = current_available_actions[action].parallel_action action_result = { "action_type": action, @@ -201,20 +207,18 @@ class ActionPlanner: "is_parallel": is_parallel, } - plan_result = { + return { "action_result": action_result, "action_prompt": prompt, } - return plan_result - async def build_planner_prompt( self, is_group_chat: bool, # Now passed as argument chat_target_info: Optional[dict], # Now passed as argument - current_available_actions, + current_available_actions: Dict[str, ActionInfo], mode: str = "focus", - ) -> str: + ) -> str: # sourcery skip: use-join """构建 Planner LLM 的提示词 (获取模板并填充数据)""" try: message_list_before_now = get_raw_msg_before_timestamp_with_chat( @@ -279,23 +283,23 @@ class ActionPlanner: action_options_block = "" for using_actions_name, using_actions_info in current_available_actions.items(): - if using_actions_info["parameters"]: + if using_actions_info.action_parameters: param_text = "\n" - for param_name, param_description in using_actions_info["parameters"].items(): + for param_name, param_description in using_actions_info.action_parameters.items(): param_text += f' "{param_name}":"{param_description}"\n' param_text = param_text.rstrip("\n") else: param_text = "" require_text = "" - for require_item in using_actions_info["require"]: + for require_item in using_actions_info.action_require: require_text += f"- {require_item}\n" require_text = require_text.rstrip("\n") using_action_prompt = await global_prompt_manager.get_prompt_async("action_prompt") using_action_prompt = using_action_prompt.format( action_name=using_actions_name, - action_description=using_actions_info["description"], + action_description=using_actions_info.description, action_parameters=param_text, action_require=require_text, ) @@ -312,10 +316,10 @@ class ActionPlanner: else: bot_nickname = "" bot_core_personality = global_config.personality.personality_core - indentify_block = f"你的名字是{bot_name}{bot_nickname},你{bot_core_personality}:" + identity_block = f"你的名字是{bot_name}{bot_nickname},你{bot_core_personality}:" planner_prompt_template = await global_prompt_manager.get_prompt_async("planner_prompt") - prompt = planner_prompt_template.format( + return planner_prompt_template.format( time_block=time_block, by_what=by_what, chat_context_description=chat_context_description, @@ -324,10 +328,8 @@ class ActionPlanner: no_action_block=no_action_block, action_options_text=action_options_block, moderation_prompt=moderation_prompt_block, - indentify_block=indentify_block, + identity_block=identity_block, ) - return prompt - except Exception as e: logger.error(f"构建 Planner 提示词时出错: {e}") logger.error(traceback.format_exc()) diff --git a/src/chat/replyer/default_generator.py b/src/chat/replyer/default_generator.py index 1d83d2c29..082fafc62 100644 --- a/src/chat/replyer/default_generator.py +++ b/src/chat/replyer/default_generator.py @@ -1,31 +1,31 @@ import traceback -from typing import List, Optional, Dict, Any, Tuple - -from src.chat.message_receive.message import MessageRecv, MessageSending -from src.chat.message_receive.message import Seg # Local import needed after move -from src.chat.message_receive.message import UserInfo -from src.common.logger import get_logger -from src.llm_models.utils_model import LLMRequest -from src.config.config import global_config -from src.chat.utils.timer_calculator import Timer # <--- Import Timer -from src.chat.message_receive.uni_message_sender import HeartFCSender -from src.chat.utils.utils import get_chat_type_and_target_info -from src.chat.message_receive.chat_stream import ChatStream -from src.chat.utils.prompt_builder import Prompt, global_prompt_manager -from src.chat.utils.chat_message_builder import build_readable_messages, get_raw_msg_before_timestamp_with_chat import time import asyncio -from src.chat.express.expression_selector import expression_selector -from src.mood.mood_manager import mood_manager -from src.person_info.relationship_fetcher import relationship_fetcher_manager import random import ast -from src.person_info.person_info import get_person_info_manager -from datetime import datetime import re + +from typing import List, Optional, Dict, Any, Tuple +from datetime import datetime + +from src.common.logger import get_logger +from src.config.config import global_config +from src.llm_models.utils_model import LLMRequest +from src.chat.message_receive.message import UserInfo, Seg, MessageRecv, MessageThinking, MessageSending +from src.chat.message_receive.chat_stream import get_chat_manager, ChatStream +from src.chat.message_receive.uni_message_sender import HeartFCSender +from src.chat.utils.timer_calculator import Timer # <--- Import Timer +from src.chat.utils.utils import get_chat_type_and_target_info +from src.chat.utils.prompt_builder import Prompt, global_prompt_manager +from src.chat.utils.chat_message_builder import build_readable_messages, get_raw_msg_before_timestamp_with_chat +from src.chat.express.expression_selector import expression_selector from src.chat.knowledge.knowledge_lib import qa_manager from src.chat.memory_system.memory_activator import MemoryActivator +from src.mood.mood_manager import mood_manager +from src.person_info.relationship_fetcher import relationship_fetcher_manager +from src.person_info.person_info import get_person_info_manager from src.tools.tool_executor import ToolExecutor +from src.plugin_system.base.component_types import ActionInfo logger = get_logger("replyer") @@ -132,25 +132,23 @@ class DefaultReplyer: # 提取权重,如果模型配置中没有'weight'键,则默认为1.0 weights = [config.get("weight", 1.0) for config in configs] - # random.choices 返回一个列表,我们取第一个元素 - selected_config = random.choices(population=configs, weights=weights, k=1)[0] - return selected_config + return random.choices(population=configs, weights=weights, k=1)[0] async def generate_reply_with_context( self, - reply_data: Dict[str, Any] = None, + reply_data: Optional[Dict[str, Any]] = None, reply_to: str = "", extra_info: str = "", - available_actions: List[str] = None, + available_actions: Optional[Dict[str, ActionInfo]] = None, enable_tool: bool = True, enable_timeout: bool = False, - ) -> Tuple[bool, Optional[str]]: + ) -> Tuple[bool, Optional[str], Optional[str]]: """ 回复器 (Replier): 核心逻辑,负责生成回复文本。 (已整合原 HeartFCGenerator 的功能) """ if available_actions is None: - available_actions = [] + available_actions = {} if reply_data is None: reply_data = {} try: @@ -202,14 +200,14 @@ class DefaultReplyer: except Exception as llm_e: # 精简报错信息 logger.error(f"{self.log_prefix}LLM 生成失败: {llm_e}") - return False, None # LLM 调用失败则无法生成回复 + return False, None, prompt # LLM 调用失败则无法生成回复 return True, content, prompt except Exception as e: logger.error(f"{self.log_prefix}回复生成意外失败: {e}") traceback.print_exc() - return False, None + return False, None, prompt async def rewrite_reply_with_context( self, @@ -289,15 +287,14 @@ class DefaultReplyer: logger.warning(f"{self.log_prefix} 未找到用户 {sender} 的ID,跳过信息提取") return f"你完全不认识{sender},不理解ta的相关信息。" - relation_info = await relationship_fetcher.build_relation_info(person_id, text, chat_history) - return relation_info + return await relationship_fetcher.build_relation_info(person_id, text, chat_history) async def build_expression_habits(self, chat_history, target): if not global_config.expression.enable_expression: return "" - style_habbits = [] - grammar_habbits = [] + 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 @@ -311,22 +308,22 @@ class DefaultReplyer: if isinstance(expr, dict) and "situation" in expr and "style" in expr: expr_type = expr.get("type", "style") if expr_type == "grammar": - grammar_habbits.append(f"当{expr['situation']}时,使用 {expr['style']}") + grammar_habits.append(f"当{expr['situation']}时,使用 {expr['style']}") else: - style_habbits.append(f"当{expr['situation']}时,使用 {expr['style']}") + style_habits.append(f"当{expr['situation']}时,使用 {expr['style']}") else: logger.debug(f"{self.log_prefix} 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_habbits_str = "\n".join(style_habbits) - grammar_habbits_str = "\n".join(grammar_habbits) + 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_habbits_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_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" + 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 @@ -334,21 +331,19 @@ class DefaultReplyer: if not global_config.memory.enable_memory: return "" - running_memorys = await self.memory_activator.activate_memory_with_chat_history( + running_memories = await self.memory_activator.activate_memory_with_chat_history( target_message=target, chat_history_prompt=chat_history ) - if running_memorys: - memory_str = "以下是当前在聊天中,你回忆起的记忆:\n" - for running_memory in running_memorys: - memory_str += f"- {running_memory['content']}\n" - memory_block = memory_str - else: - memory_block = "" + if not running_memories: + return "" - return memory_block + memory_str = "以下是当前在聊天中,你回忆起的记忆:\n" + for running_memory in running_memories: + memory_str += f"- {running_memory['content']}\n" + return memory_str - async def build_tool_info(self, reply_data=None, chat_history=None, enable_tool: bool = True): + async def build_tool_info(self, chat_history, reply_data: Optional[Dict], enable_tool: bool = True): """构建工具信息块 Args: @@ -373,7 +368,7 @@ class DefaultReplyer: try: # 使用工具执行器获取信息 - tool_results = await self.tool_executor.execute_from_chat_message( + tool_results, _, _ = await self.tool_executor.execute_from_chat_message( sender=sender, target_message=text, chat_history=chat_history, return_details=False ) @@ -428,7 +423,7 @@ class DefaultReplyer: for name, content in result.groupdict().items(): reaction = reaction.replace(f"[{name}]", content) logger.info(f"匹配到正则表达式:{pattern_str},触发反应:{reaction}") - keywords_reaction_prompt += reaction + "," + keywords_reaction_prompt += f"{reaction}," break except re.error as e: logger.error(f"正则表达式编译错误: {pattern_str}, 错误信息: {str(e)}") @@ -438,21 +433,21 @@ class DefaultReplyer: return keywords_reaction_prompt - async def _time_and_run_task(self, coro, name: str): + async def _time_and_run_task(self, coroutine, name: str): """一个简单的帮助函数,用于计时和运行异步任务,返回任务名、结果和耗时""" start_time = time.time() - result = await coro + result = await coroutine end_time = time.time() duration = end_time - start_time return name, result, duration async def build_prompt_reply_context( self, - reply_data=None, - available_actions: List[str] = None, + reply_data: Dict[str, Any], + available_actions: Optional[Dict[str, ActionInfo]] = None, enable_timeout: bool = False, enable_tool: bool = True, - ) -> str: + ) -> str: # sourcery skip: merge-else-if-into-elif, remove-redundant-if """ 构建回复器上下文 @@ -468,7 +463,7 @@ class DefaultReplyer: str: 构建好的上下文 """ if available_actions is None: - available_actions = [] + available_actions = {} chat_stream = self.chat_stream chat_id = chat_stream.stream_id person_info_manager = get_person_info_manager() @@ -487,10 +482,9 @@ class DefaultReplyer: if available_actions: action_descriptions = "你有以下的动作能力,但执行这些动作不由你决定,由另外一个模型同步决定,因此你只需要知道有如下能力即可:\n" for action_name, action_info in available_actions.items(): - action_description = action_info.get("description", "") + action_description = action_info.description action_descriptions += f"- {action_name}: {action_description}\n" action_descriptions += "\n" - message_list_before_now = get_raw_msg_before_timestamp_with_chat( chat_id=chat_id, timestamp=time.time(), @@ -506,7 +500,6 @@ class DefaultReplyer: show_actions=True, ) - message_list_before_short = get_raw_msg_before_timestamp_with_chat( chat_id=chat_id, timestamp=time.time(), @@ -531,7 +524,7 @@ class DefaultReplyer: ), self._time_and_run_task(self.build_memory_block(chat_talking_prompt_short, target), "build_memory_block"), self._time_and_run_task( - self.build_tool_info(reply_data, chat_talking_prompt_short, enable_tool=enable_tool), "build_tool_info" + self.build_tool_info(chat_talking_prompt_short, reply_data, enable_tool=enable_tool), "build_tool_info" ), ) @@ -589,8 +582,8 @@ class DefaultReplyer: short_impression = ["友好活泼", "人类"] personality = short_impression[0] identity = short_impression[1] - prompt_personality = personality + "," + identity - indentify_block = f"你的名字是{bot_name}{bot_nickname},你{prompt_personality}:" + prompt_personality = f"{personality},{identity}" + identity_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。" @@ -637,7 +630,7 @@ class DefaultReplyer: "chat_target_private2", sender_name=chat_target_name ) - prompt = await global_prompt_manager.format_prompt( + return await global_prompt_manager.format_prompt( template_name, expression_habits_block=expression_habits_block, chat_target=chat_target_1, @@ -651,7 +644,7 @@ class DefaultReplyer: reply_target_block=reply_target_block, moderation_prompt=moderation_prompt_block, keywords_reaction_prompt=keywords_reaction_prompt, - identity=indentify_block, + identity=identity_block, target_message=target, sender_name=sender, config_expression_style=global_config.expression.expression_style, @@ -660,8 +653,6 @@ class DefaultReplyer: mood_state=mood_prompt, ) - return prompt - async def build_prompt_rewrite_context( self, reply_data: Dict[str, Any], @@ -722,8 +713,8 @@ class DefaultReplyer: short_impression = ["友好活泼", "人类"] personality = short_impression[0] identity = short_impression[1] - prompt_personality = personality + "," + identity - indentify_block = f"你的名字是{bot_name}{bot_nickname},你{prompt_personality}:" + prompt_personality = f"{personality},{identity}" + identity_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。" @@ -767,14 +758,14 @@ class DefaultReplyer: template_name = "default_expressor_prompt" - prompt = await global_prompt_manager.format_prompt( + return await global_prompt_manager.format_prompt( template_name, expression_habits_block=expression_habits_block, relation_info_block=relation_info, chat_target=chat_target_1, time_block=time_block, chat_info=chat_talking_prompt_half, - identity=indentify_block, + identity=identity_block, chat_target_2=chat_target_2, reply_target_block=reply_target_block, raw_reply=raw_reply, @@ -784,8 +775,6 @@ class DefaultReplyer: moderation_prompt=moderation_prompt_block, ) - return prompt - async def _build_single_sending_message( self, message_id: str, @@ -794,7 +783,7 @@ class DefaultReplyer: is_emoji: bool, thinking_start_time: float, display_message: str, - anchor_message: MessageRecv = None, + anchor_message: Optional[MessageRecv] = None, ) -> MessageSending: """构建单个发送消息""" @@ -805,12 +794,9 @@ class DefaultReplyer: ) # await anchor_message.process() - if anchor_message: - sender_info = anchor_message.message_info.user_info - else: - sender_info = None + sender_info = anchor_message.message_info.user_info if anchor_message else None - bot_message = MessageSending( + return MessageSending( message_id=message_id, # 使用片段的唯一ID chat_stream=self.chat_stream, bot_user_info=bot_user_info, @@ -823,8 +809,6 @@ class DefaultReplyer: display_message=display_message, ) - return bot_message - def weighted_sample_no_replacement(items, weights, k) -> list: """ diff --git a/src/chat/replyer/replyer_manager.py b/src/chat/replyer/replyer_manager.py index 6a73b7d4b..3f1c731b4 100644 --- a/src/chat/replyer/replyer_manager.py +++ b/src/chat/replyer/replyer_manager.py @@ -1,14 +1,15 @@ from typing import Dict, Any, Optional, List + +from src.common.logger import get_logger from src.chat.message_receive.chat_stream import ChatStream, get_chat_manager from src.chat.replyer.default_generator import DefaultReplyer -from src.common.logger import get_logger logger = get_logger("ReplyerManager") class ReplyerManager: def __init__(self): - self._replyers: Dict[str, DefaultReplyer] = {} + self._repliers: Dict[str, DefaultReplyer] = {} def get_replyer( self, @@ -29,17 +30,16 @@ class ReplyerManager: return None # 如果已有缓存实例,直接返回 - if stream_id in self._replyers: + if stream_id in self._repliers: logger.debug(f"[ReplyerManager] 为 stream_id '{stream_id}' 返回已存在的回复器实例。") - return self._replyers[stream_id] + return self._repliers[stream_id] # 如果没有缓存,则创建新实例(首次初始化) logger.debug(f"[ReplyerManager] 为 stream_id '{stream_id}' 创建新的回复器实例并缓存。") target_stream = chat_stream if not target_stream: - chat_manager = get_chat_manager() - if chat_manager: + if chat_manager := get_chat_manager(): target_stream = chat_manager.get_stream(stream_id) if not target_stream: @@ -52,7 +52,7 @@ class ReplyerManager: model_configs=model_configs, # 可以是None,此时使用默认模型 request_type=request_type, ) - self._replyers[stream_id] = replyer + self._repliers[stream_id] = replyer return replyer diff --git a/src/chat/utils/chat_message_builder.py b/src/chat/utils/chat_message_builder.py index a858abd4d..2ff537f0c 100644 --- a/src/chat/utils/chat_message_builder.py +++ b/src/chat/utils/chat_message_builder.py @@ -1,14 +1,16 @@ -from src.config.config import global_config -from typing import List, Dict, Any, Tuple # 确保类型提示被导入 import time # 导入 time 模块以获取当前时间 import random import re -from src.common.message_repository import find_messages, count_messages -from src.person_info.person_info import PersonInfoManager, get_person_info_manager -from src.chat.utils.utils import translate_timestamp_to_human_readable + +from typing import List, Dict, Any, Tuple, Optional from rich.traceback import install + +from src.config.config import global_config +from src.common.message_repository import find_messages, count_messages from src.common.database.database_model import ActionRecords from src.common.database.database_model import Images +from src.person_info.person_info import PersonInfoManager, get_person_info_manager +from src.chat.utils.utils import translate_timestamp_to_human_readable install(extra_lines=3) @@ -28,7 +30,12 @@ def get_raw_msg_by_timestamp( def get_raw_msg_by_timestamp_with_chat( - chat_id: str, timestamp_start: float, timestamp_end: float, limit: int = 0, limit_mode: str = "latest", fliter_bot = False + chat_id: str, + timestamp_start: float, + timestamp_end: float, + limit: int = 0, + limit_mode: str = "latest", + filter_bot=False, ) -> List[Dict[str, Any]]: """获取在特定聊天从指定时间戳到指定时间戳的消息,按时间升序排序,返回消息列表 limit: 限制返回的消息数量,0为不限制 @@ -38,11 +45,18 @@ def get_raw_msg_by_timestamp_with_chat( # 只有当 limit 为 0 时才应用外部 sort sort_order = [("time", 1)] if limit == 0 else None # 直接将 limit_mode 传递给 find_messages - return find_messages(message_filter=filter_query, sort=sort_order, limit=limit, limit_mode=limit_mode, fliter_bot=fliter_bot) + return find_messages( + message_filter=filter_query, sort=sort_order, limit=limit, limit_mode=limit_mode, filter_bot=filter_bot + ) def get_raw_msg_by_timestamp_with_chat_inclusive( - chat_id: str, timestamp_start: float, timestamp_end: float, limit: int = 0, limit_mode: str = "latest", fliter_bot = False + chat_id: str, + timestamp_start: float, + timestamp_end: float, + limit: int = 0, + limit_mode: str = "latest", + filter_bot=False, ) -> List[Dict[str, Any]]: """获取在特定聊天从指定时间戳到指定时间戳的消息(包含边界),按时间升序排序,返回消息列表 limit: 限制返回的消息数量,0为不限制 @@ -52,8 +66,10 @@ def get_raw_msg_by_timestamp_with_chat_inclusive( # 只有当 limit 为 0 时才应用外部 sort sort_order = [("time", 1)] if limit == 0 else None # 直接将 limit_mode 传递给 find_messages - - return find_messages(message_filter=filter_query, sort=sort_order, limit=limit, limit_mode=limit_mode, fliter_bot=fliter_bot) + + return find_messages( + message_filter=filter_query, sort=sort_order, limit=limit, limit_mode=limit_mode, filter_bot=filter_bot + ) def get_raw_msg_by_timestamp_with_chat_users( @@ -88,8 +104,8 @@ def get_actions_by_timestamp_with_chat( """获取在特定聊天从指定时间戳到指定时间戳的动作记录,按时间升序排序,返回动作记录列表""" query = ActionRecords.select().where( (ActionRecords.chat_id == chat_id) - & (ActionRecords.time > timestamp_start) - & (ActionRecords.time < timestamp_end) + & (ActionRecords.time > timestamp_start) # type: ignore + & (ActionRecords.time < timestamp_end) # type: ignore ) if limit > 0: @@ -113,8 +129,8 @@ def get_actions_by_timestamp_with_chat_inclusive( """获取在特定聊天从指定时间戳到指定时间戳的动作记录(包含边界),按时间升序排序,返回动作记录列表""" query = ActionRecords.select().where( (ActionRecords.chat_id == chat_id) - & (ActionRecords.time >= timestamp_start) - & (ActionRecords.time <= timestamp_end) + & (ActionRecords.time >= timestamp_start) # type: ignore + & (ActionRecords.time <= timestamp_end) # type: ignore ) if limit > 0: @@ -190,7 +206,7 @@ def get_raw_msg_before_timestamp_with_users(timestamp: float, person_ids: list, return find_messages(message_filter=filter_query, sort=sort_order, limit=limit) -def num_new_messages_since(chat_id: str, timestamp_start: float = 0.0, timestamp_end: float = None) -> int: +def num_new_messages_since(chat_id: str, timestamp_start: float = 0.0, timestamp_end: Optional[float] = None) -> int: """ 检查特定聊天从 timestamp_start (不含) 到 timestamp_end (不含) 之间有多少新消息。 如果 timestamp_end 为 None,则检查从 timestamp_start (不含) 到当前时间的消息。 @@ -227,7 +243,7 @@ def _build_readable_messages_internal( merge_messages: bool = False, timestamp_mode: str = "relative", truncate: bool = False, - pic_id_mapping: Dict[str, str] = None, + pic_id_mapping: Optional[Dict[str, str]] = None, pic_counter: int = 1, show_pic: bool = True, ) -> Tuple[str, List[Tuple[float, str, str]], Dict[str, str], int]: @@ -249,7 +265,7 @@ def _build_readable_messages_internal( if not messages: return "", [], pic_id_mapping or {}, pic_counter - message_details_raw: List[Tuple[float, str, str]] = [] + message_details_raw: List[Tuple[float, str, str, bool]] = [] # 使用传入的映射字典,如果没有则创建新的 if pic_id_mapping is None: @@ -280,7 +296,7 @@ def _build_readable_messages_internal( # 检查是否是动作记录 if msg.get("is_action_record", False): is_action = True - timestamp = msg.get("time") + timestamp: float = msg.get("time") # type: ignore content = msg.get("display_message", "") # 对于动作记录,也处理图片ID content = process_pic_ids(content) @@ -304,9 +320,10 @@ def _build_readable_messages_internal( user_nickname = user_info.get("user_nickname") user_cardname = user_info.get("user_cardname") - timestamp = msg.get("time") + timestamp: float = msg.get("time") # type: ignore + content: str if msg.get("display_message"): - content = msg.get("display_message") + content = msg.get("display_message", "") else: content = msg.get("processed_plain_text", "") # 默认空字符串 @@ -326,10 +343,11 @@ def _build_readable_messages_internal( person_id = PersonInfoManager.get_person_id(platform, user_id) person_info_manager = get_person_info_manager() # 根据 replace_bot_name 参数决定是否替换机器人名称 + person_name: str if replace_bot_name and user_id == global_config.bot.qq_account: person_name = f"{global_config.bot.nickname}(你)" else: - person_name = person_info_manager.get_value_sync(person_id, "person_name") + person_name = person_info_manager.get_value_sync(person_id, "person_name") # type: ignore # 如果 person_name 未设置,则使用消息中的 nickname 或默认名称 if not person_name: @@ -344,12 +362,10 @@ def _build_readable_messages_internal( reply_pattern = r"回复<([^:<>]+):([^:<>]+)>" match = re.search(reply_pattern, content) if match: - aaa = match.group(1) - bbb = match.group(2) + aaa: str = match[1] + bbb: str = match[2] reply_person_id = PersonInfoManager.get_person_id(platform, bbb) - reply_person_name = person_info_manager.get_value_sync(reply_person_id, "person_name") - if not reply_person_name: - reply_person_name = aaa + reply_person_name = person_info_manager.get_value_sync(reply_person_id, "person_name") or aaa # 在内容前加上回复信息 content = re.sub(reply_pattern, lambda m, name=reply_person_name: f"回复 {name}", content, count=1) @@ -364,18 +380,15 @@ def _build_readable_messages_internal( aaa = m.group(1) bbb = m.group(2) at_person_id = PersonInfoManager.get_person_id(platform, bbb) - at_person_name = person_info_manager.get_value_sync(at_person_id, "person_name") - if not at_person_name: - at_person_name = aaa + at_person_name = person_info_manager.get_value_sync(at_person_id, "person_name") or aaa new_content += f"@{at_person_name}" last_end = m.end() new_content += content[last_end:] content = new_content target_str = "这是QQ的一个功能,用于提及某人,但没那么明显" - if target_str in content: - if random.random() < 0.6: - content = content.replace(target_str, "") + if target_str in content and random.random() < 0.6: + content = content.replace(target_str, "") if content != "": message_details_raw.append((timestamp, person_name, content, False)) @@ -525,6 +538,7 @@ def _build_readable_messages_internal( def build_pic_mapping_info(pic_id_mapping: Dict[str, str]) -> str: + # sourcery skip: use-contextlib-suppress """ 构建图片映射信息字符串,显示图片的具体描述内容 @@ -583,8 +597,7 @@ def build_readable_actions(actions: List[Dict[str, Any]]) -> str: action_name = action.get("action_name", "未知动作") if action_name == "no_action" or action_name == "no_reply": continue - - + action_prompt_display = action.get("action_prompt_display", "无具体内容") time_diff_seconds = current_time - action_time @@ -616,9 +629,7 @@ async def build_readable_messages_with_list( messages, replace_bot_name, merge_messages, timestamp_mode, truncate ) - # 生成图片映射信息并添加到最前面 - pic_mapping_info = build_pic_mapping_info(pic_id_mapping) - if pic_mapping_info: + if pic_mapping_info := build_pic_mapping_info(pic_id_mapping): formatted_string = f"{pic_mapping_info}\n\n{formatted_string}" return formatted_string, details_list @@ -633,7 +644,7 @@ def build_readable_messages( truncate: bool = False, show_actions: bool = False, show_pic: bool = True, -) -> str: +) -> str: # sourcery skip: extract-method """ 将消息列表转换为可读的文本格式。 如果提供了 read_mark,则在相应位置插入已读标记。 @@ -756,9 +767,7 @@ def build_readable_messages( # 组合结果 result_parts = [] if pic_mapping_info: - result_parts.append(pic_mapping_info) - result_parts.append("\n") - + result_parts.extend((pic_mapping_info, "\n")) if formatted_before and formatted_after: result_parts.extend([formatted_before, read_mark_line, formatted_after]) elif formatted_before: @@ -831,8 +840,9 @@ async def build_anonymous_messages(messages: List[Dict[str, Any]]) -> str: platform = msg.get("chat_info_platform") user_id = msg.get("user_id") _timestamp = msg.get("time") + content: str = "" if msg.get("display_message"): - content = msg.get("display_message") + content = msg.get("display_message", "") else: content = msg.get("processed_plain_text", "") @@ -920,17 +930,14 @@ async def get_person_id_list(messages: List[Dict[str, Any]]) -> List[str]: person_ids_set = set() # 使用集合来自动去重 for msg in messages: - platform = msg.get("user_platform") - user_id = msg.get("user_id") + platform: str = msg.get("user_platform") # type: ignore + user_id: str = msg.get("user_id") # type: ignore # 检查必要信息是否存在 且 不是机器人自己 if not all([platform, user_id]) or user_id == global_config.bot.qq_account: continue - person_id = PersonInfoManager.get_person_id(platform, user_id) - - # 只有当获取到有效 person_id 时才添加 - if person_id: + if person_id := PersonInfoManager.get_person_id(platform, user_id): person_ids_set.add(person_id) return list(person_ids_set) # 将集合转换为列表返回 diff --git a/src/chat/utils/json_utils.py b/src/chat/utils/json_utils.py index 6226e6e96..892deac4f 100644 --- a/src/chat/utils/json_utils.py +++ b/src/chat/utils/json_utils.py @@ -1,7 +1,8 @@ +import ast import json import logging -from typing import Any, Dict, TypeVar, List, Union, Tuple -import ast + +from typing import Any, Dict, TypeVar, List, Union, Tuple, Optional # 定义类型变量用于泛型类型提示 T = TypeVar("T") @@ -30,18 +31,14 @@ def safe_json_loads(json_str: str, default_value: T = None) -> Union[Any, T]: # 尝试标准的 JSON 解析 return json.loads(json_str) except json.JSONDecodeError: - # 如果标准解析失败,尝试将单引号替换为双引号再解析 - # (注意:这种替换可能不安全,如果字符串内容本身包含引号) - # 更安全的方式是用 ast.literal_eval + # 如果标准解析失败,尝试用 ast.literal_eval 解析 try: # logger.debug(f"标准JSON解析失败,尝试用 ast.literal_eval 解析: {json_str[:100]}...") result = ast.literal_eval(json_str) - # 确保结果是字典(因为我们通常期望参数是字典) if isinstance(result, dict): return result - else: - logger.warning(f"ast.literal_eval 解析成功但结果不是字典: {type(result)}, 内容: {result}") - return default_value + logger.warning(f"ast.literal_eval 解析成功但结果不是字典: {type(result)}, 内容: {result}") + return default_value except (ValueError, SyntaxError, MemoryError, RecursionError) as ast_e: logger.error(f"使用 ast.literal_eval 解析失败: {ast_e}, 字符串: {json_str[:100]}...") return default_value @@ -53,7 +50,9 @@ def safe_json_loads(json_str: str, default_value: T = None) -> Union[Any, T]: return default_value -def extract_tool_call_arguments(tool_call: Dict[str, Any], default_value: Dict[str, Any] = None) -> Dict[str, Any]: +def extract_tool_call_arguments( + tool_call: Dict[str, Any], default_value: Optional[Dict[str, Any]] = None +) -> Dict[str, Any]: """ 从LLM工具调用对象中提取参数 @@ -77,14 +76,12 @@ def extract_tool_call_arguments(tool_call: Dict[str, Any], default_value: Dict[s logger.error(f"工具调用缺少function字段或格式不正确: {tool_call}") return default_result - # 提取arguments - arguments_str = function_data.get("arguments", "{}") - if not arguments_str: + if arguments_str := function_data.get("arguments", "{}"): + # 解析JSON + return safe_json_loads(arguments_str, default_result) + else: return default_result - # 解析JSON - return safe_json_loads(arguments_str, default_result) - except Exception as e: logger.error(f"提取工具调用参数时出错: {e}") return default_result diff --git a/src/chat/utils/prompt_builder.py b/src/chat/utils/prompt_builder.py index 26f8ffbad..1b107904c 100644 --- a/src/chat/utils/prompt_builder.py +++ b/src/chat/utils/prompt_builder.py @@ -1,12 +1,12 @@ -from typing import Dict, Any, Optional, List, Union import re -from contextlib import asynccontextmanager import asyncio import contextvars -from src.common.logger import get_logger -# import traceback from rich.traceback import install +from contextlib import asynccontextmanager +from typing import Dict, Any, Optional, List, Union + +from src.common.logger import get_logger install(extra_lines=3) @@ -32,6 +32,7 @@ class PromptContext: @asynccontextmanager async def async_scope(self, context_id: Optional[str] = None): + # sourcery skip: hoist-statement-from-if, use-contextlib-suppress """创建一个异步的临时提示模板作用域""" # 保存当前上下文并设置新上下文 if context_id is not None: @@ -88,8 +89,7 @@ class PromptContext: async def register_async(self, prompt: "Prompt", context_id: Optional[str] = None) -> None: """异步注册提示模板到指定作用域""" async with self._context_lock: - target_context = context_id or self._current_context - if target_context: + if target_context := context_id or self._current_context: self._context_prompts.setdefault(target_context, {})[prompt.name] = prompt @@ -151,7 +151,7 @@ class Prompt(str): @staticmethod def _process_escaped_braces(template) -> str: - """处理模板中的转义花括号,将 \{ 和 \} 替换为临时标记""" + """处理模板中的转义花括号,将 \{ 和 \} 替换为临时标记""" # type: ignore # 如果传入的是列表,将其转换为字符串 if isinstance(template, list): template = "\n".join(str(item) for item in template) @@ -195,14 +195,8 @@ class Prompt(str): obj._kwargs = kwargs # 修改自动注册逻辑 - if should_register: - if global_prompt_manager._context._current_context: - # 如果存在当前上下文,则注册到上下文中 - # asyncio.create_task(global_prompt_manager._context.register_async(obj)) - pass - else: - # 否则注册到全局管理器 - global_prompt_manager.register(obj) + if should_register and not global_prompt_manager._context._current_context: + global_prompt_manager.register(obj) return obj @classmethod @@ -276,15 +270,13 @@ class Prompt(str): self.name, args=list(args) if args else self._args, _should_register=False, - **kwargs if kwargs else self._kwargs, + **kwargs or self._kwargs, ) # print(f"prompt build result: {ret} name: {ret.name} ") return str(ret) def __str__(self) -> str: - if self._kwargs or self._args: - return super().__str__() - return self.template + return super().__str__() if self._kwargs or self._args else self.template def __repr__(self) -> str: return f"Prompt(template='{self.template}', name='{self.name}')" diff --git a/src/chat/utils/statistic.py b/src/chat/utils/statistic.py index 25d231c01..4e0edd31f 100644 --- a/src/chat/utils/statistic.py +++ b/src/chat/utils/statistic.py @@ -1,18 +1,17 @@ -from collections import defaultdict -from datetime import datetime, timedelta -from typing import Any, Dict, Tuple, List import asyncio import concurrent.futures import json import os import glob +from collections import defaultdict +from datetime import datetime, timedelta +from typing import Any, Dict, Tuple, List from src.common.logger import get_logger +from src.common.database.database import db +from src.common.database.database_model import OnlineTime, LLMUsage, Messages from src.manager.async_task_manager import AsyncTask - -from ...common.database.database import db # This db is the Peewee database instance -from ...common.database.database_model import OnlineTime, LLMUsage, Messages # Import the Peewee model from src.manager.local_store_manager import local_storage logger = get_logger("maibot_statistic") @@ -76,14 +75,14 @@ class OnlineTimeRecordTask(AsyncTask): with db.atomic(): # Use atomic operations for schema changes OnlineTime.create_table(safe=True) # Creates table if it doesn't exist, Peewee handles indexes from model - async def run(self): + async def run(self): # sourcery skip: use-named-expression try: current_time = datetime.now() extended_end_time = current_time + timedelta(minutes=1) if self.record_id: # 如果有记录,则更新结束时间 - query = OnlineTime.update(end_timestamp=extended_end_time).where(OnlineTime.id == self.record_id) + query = OnlineTime.update(end_timestamp=extended_end_time).where(OnlineTime.id == self.record_id) # type: ignore updated_rows = query.execute() if updated_rows == 0: # Record might have been deleted or ID is stale, try to find/create @@ -94,7 +93,7 @@ class OnlineTimeRecordTask(AsyncTask): # Look for a record whose end_timestamp is recent enough to be considered ongoing recent_record = ( OnlineTime.select() - .where(OnlineTime.end_timestamp >= (current_time - timedelta(minutes=1))) + .where(OnlineTime.end_timestamp >= (current_time - timedelta(minutes=1))) # type: ignore .order_by(OnlineTime.end_timestamp.desc()) .first() ) @@ -123,15 +122,15 @@ def _format_online_time(online_seconds: int) -> str: :param online_seconds: 在线时间(秒) :return: 格式化后的在线时间字符串 """ - total_oneline_time = timedelta(seconds=online_seconds) + total_online_time = timedelta(seconds=online_seconds) - days = total_oneline_time.days - hours = total_oneline_time.seconds // 3600 - minutes = (total_oneline_time.seconds // 60) % 60 - seconds = total_oneline_time.seconds % 60 + days = total_online_time.days + hours = total_online_time.seconds // 3600 + minutes = (total_online_time.seconds // 60) % 60 + seconds = total_online_time.seconds % 60 if days > 0: # 如果在线时间超过1天,则格式化为"X天X小时X分钟" - return f"{total_oneline_time.days}天{hours}小时{minutes}分钟{seconds}秒" + return f"{total_online_time.days}天{hours}小时{minutes}分钟{seconds}秒" elif hours > 0: # 如果在线时间超过1小时,则格式化为"X小时X分钟X秒" return f"{hours}小时{minutes}分钟{seconds}秒" @@ -163,7 +162,7 @@ class StatisticOutputTask(AsyncTask): now = datetime.now() if "deploy_time" in local_storage: # 如果存在部署时间,则使用该时间作为全量统计的起始时间 - deploy_time = datetime.fromtimestamp(local_storage["deploy_time"]) + deploy_time = datetime.fromtimestamp(local_storage["deploy_time"]) # type: ignore else: # 否则,使用最大时间范围,并记录部署时间为当前时间 deploy_time = datetime(2000, 1, 1) @@ -252,7 +251,7 @@ class StatisticOutputTask(AsyncTask): # 创建后台任务,不等待完成 collect_task = asyncio.create_task( - loop.run_in_executor(executor, self._collect_all_statistics, now) + loop.run_in_executor(executor, self._collect_all_statistics, now) # type: ignore ) stats = await collect_task @@ -260,8 +259,8 @@ class StatisticOutputTask(AsyncTask): # 创建并发的输出任务 output_tasks = [ - asyncio.create_task(loop.run_in_executor(executor, self._statistic_console_output, stats, now)), - asyncio.create_task(loop.run_in_executor(executor, self._generate_html_report, stats, now)), + asyncio.create_task(loop.run_in_executor(executor, self._statistic_console_output, stats, now)), # type: ignore + asyncio.create_task(loop.run_in_executor(executor, self._generate_html_report, stats, now)), # type: ignore ] # 等待所有输出任务完成 @@ -320,7 +319,7 @@ class StatisticOutputTask(AsyncTask): # 以最早的时间戳为起始时间获取记录 # Assuming LLMUsage.timestamp is a DateTimeField query_start_time = collect_period[-1][1] - for record in LLMUsage.select().where(LLMUsage.timestamp >= query_start_time): + for record in LLMUsage.select().where(LLMUsage.timestamp >= query_start_time): # type: ignore record_timestamp = record.timestamp # This is already a datetime object for idx, (_, period_start) in enumerate(collect_period): if record_timestamp >= period_start: @@ -388,7 +387,7 @@ class StatisticOutputTask(AsyncTask): query_start_time = collect_period[-1][1] # Assuming OnlineTime.end_timestamp is a DateTimeField - for record in OnlineTime.select().where(OnlineTime.end_timestamp >= query_start_time): + for record in OnlineTime.select().where(OnlineTime.end_timestamp >= query_start_time): # type: ignore # record.end_timestamp and record.start_timestamp are datetime objects record_end_timestamp = record.end_timestamp record_start_timestamp = record.start_timestamp @@ -428,7 +427,7 @@ class StatisticOutputTask(AsyncTask): } query_start_timestamp = collect_period[-1][1].timestamp() # Messages.time is a DoubleField (timestamp) - for message in Messages.select().where(Messages.time >= query_start_timestamp): + for message in Messages.select().where(Messages.time >= query_start_timestamp): # type: ignore message_time_ts = message.time # This is a float timestamp chat_id = None @@ -661,7 +660,7 @@ class StatisticOutputTask(AsyncTask): if "last_full_statistics" in local_storage: # 如果存在上次完整统计数据,则使用该数据进行增量统计 - last_stat = local_storage["last_full_statistics"] # 上次完整统计数据 + last_stat: Dict[str, Any] = local_storage["last_full_statistics"] # 上次完整统计数据 # type: ignore self.name_mapping = last_stat["name_mapping"] # 上次完整统计数据的名称映射 last_all_time_stat = last_stat["stat_data"] # 上次完整统计的统计数据 @@ -727,6 +726,7 @@ class StatisticOutputTask(AsyncTask): return stat def _convert_defaultdict_to_dict(self, data): + # sourcery skip: dict-comprehension, extract-duplicate-method, inline-immediately-returned-variable, merge-duplicate-blocks """递归转换defaultdict为普通dict""" if isinstance(data, defaultdict): # 转换defaultdict为普通dict @@ -812,8 +812,7 @@ class StatisticOutputTask(AsyncTask): # 全局阶段平均时间 if stats[FOCUS_AVG_TIMES_BY_STAGE]: output.append("全局阶段平均时间:") - for stage, avg_time in stats[FOCUS_AVG_TIMES_BY_STAGE].items(): - output.append(f" {stage}: {avg_time:.3f}秒") + output.extend(f" {stage}: {avg_time:.3f}秒" for stage, avg_time in stats[FOCUS_AVG_TIMES_BY_STAGE].items()) output.append("") # Action类型比例 @@ -1050,7 +1049,7 @@ class StatisticOutputTask(AsyncTask): ] tab_content_list.append( - _format_stat_data(stat["all_time"], "all_time", datetime.fromtimestamp(local_storage["deploy_time"])) + _format_stat_data(stat["all_time"], "all_time", datetime.fromtimestamp(local_storage["deploy_time"])) # type: ignore ) # 添加Focus统计内容 @@ -1212,6 +1211,7 @@ class StatisticOutputTask(AsyncTask): f.write(html_template) def _generate_focus_tab(self, stat: dict[str, Any]) -> str: + # sourcery skip: for-append-to-extend, list-comprehension, use-any """生成Focus统计独立分页的HTML内容""" # 为每个时间段准备Focus数据 @@ -1313,12 +1313,11 @@ class StatisticOutputTask(AsyncTask): # 聊天流Action选择比例对比表(横向表格) focus_chat_action_ratios_rows = "" if stat_data.get("focus_action_ratios_by_chat"): - # 获取所有action类型(按全局频率排序) - all_action_types_for_ratio = sorted( - stat_data[FOCUS_ACTION_RATIOS].keys(), key=lambda x: stat_data[FOCUS_ACTION_RATIOS][x], reverse=True - ) - - if all_action_types_for_ratio: + if all_action_types_for_ratio := sorted( + stat_data[FOCUS_ACTION_RATIOS].keys(), + key=lambda x: stat_data[FOCUS_ACTION_RATIOS][x], + reverse=True, + ): # 为每个聊天流生成数据行(按循环数排序) chat_ratio_rows = [] for chat_id in sorted( @@ -1379,16 +1378,11 @@ class StatisticOutputTask(AsyncTask): if period_name == "all_time": from src.manager.local_store_manager import local_storage - start_time = datetime.fromtimestamp(local_storage["deploy_time"]) - time_range = ( - f"{start_time.strftime('%Y-%m-%d %H:%M:%S')} ~ {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}" - ) + start_time = datetime.fromtimestamp(local_storage["deploy_time"]) # type: ignore else: start_time = datetime.now() - period_delta - time_range = ( - f"{start_time.strftime('%Y-%m-%d %H:%M:%S')} ~ {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}" - ) + time_range = f"{start_time.strftime('%Y-%m-%d %H:%M:%S')} ~ {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}" # 生成该时间段的Focus统计HTML section_html = f"""