From 0b5a5368559e2d1a07b3987e81d8e83cb6b591a6 Mon Sep 17 00:00:00 2001 From: minecraft1024a Date: Fri, 17 Oct 2025 20:25:44 +0800 Subject: [PATCH 01/24] =?UTF-8?q?chore(scripts):=20=E7=A7=BB=E9=99=A4?= =?UTF-8?q?=E6=97=A0=E7=94=A8=E7=9A=84=E8=84=9A=E6=9C=AC=E6=96=87=E4=BB=B6?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 删除了两个已不再需要的脚本： - `run_multi_stage_smoke.py`: 用于早期烟雾测试，现已过时。 - `text_length_analysis.py`: 用于分析数据库中的消息文本长度，功能已不再需要。 feat(scripts):为来自MaiBot的插件提供了转换插件的 _manifest.json 文件的脚本 --- scripts/convert_manifest.py | 96 +++++++++++++++++++++ scripts/{ => test}/run_multi_stage_smoke.py | 0 scripts/{ => test}/text_length_analysis.py | 0 3 files changed, 96 insertions(+) create mode 100644 scripts/convert_manifest.py rename scripts/{ => test}/run_multi_stage_smoke.py (100%) rename scripts/{ => test}/text_length_analysis.py (100%) diff --git a/scripts/convert_manifest.py b/scripts/convert_manifest.py new file mode 100644 index 000000000..886d84eb8 --- /dev/null +++ b/scripts/convert_manifest.py @@ -0,0 +1,96 @@ +import orjson +import os +import shutil +import sys +from pathlib import Path + +# 将脚本所在的目录添加到系统路径中，以便导入项目模块 +sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))) +from src.common.logger import get_logger + +logger = get_logger("convert_manifest") + +def convert_and_copy_plugin(plugin_dir: Path, output_dir: Path): + """ + 转换插件的 _manifest.json 文件，并将其整个目录复制到输出位置。 + """ + manifest_path = plugin_dir / '_manifest.json' + if not manifest_path.is_file(): + logger.warning(f"在目录 '{plugin_dir.name}' 中未找到 '_manifest.json'，已跳过。") + return + + try: + # 1. 复制整个插件目录 + target_plugin_dir = output_dir / plugin_dir.name + if target_plugin_dir.exists(): + shutil.rmtree(target_plugin_dir) # 如果目标已存在，先删除 + shutil.copytree(plugin_dir, target_plugin_dir) + logger.info(f"已将插件 '{plugin_dir.name}' 完整复制到 '{target_plugin_dir}'") + + # 2. 读取 manifest 并生成 __init__.py 内容 + with open(manifest_path, 'rb') as f: + manifest = orjson.loads(f.read()) + + plugin_name = manifest.get('name', 'Unknown Plugin') + description = manifest.get('description', 'No description provided.') + version = manifest.get('version', '0.0.0') + author = manifest.get('author', {}).get('name', 'Unknown Author') + license_type = manifest.get('license', 'N/A') + + meta_template = f'''from src.plugin_system.base.plugin_metadata import PluginMetadata + +__plugin_meta__ = PluginMetadata( + name="{plugin_name}", + description="{description}", + usage="暂无说明", + version="{version}", + author="{author}", + license="{license_type}", +) +''' + # 3. 在复制后的目录中创建或覆盖 __init__.py + output_init_path = target_plugin_dir / '__init__.py' + with open(output_init_path, 'w', encoding='utf-8') as f: + f.write(meta_template) + + # 4. 删除复制后的 _manifest.json + copied_manifest_path = target_plugin_dir / '_manifest.json' + if copied_manifest_path.is_file(): + copied_manifest_path.unlink() + + logger.info(f"成功为 '{plugin_dir.name}' 创建元数据文件并清理清单。") + + except FileNotFoundError: + logger.error(f"错误: 在 '{manifest_path}' 未找到清单文件") + except orjson.JSONDecodeError: + logger.error(f"错误: 无法解析 '{manifest_path}' 的 JSON 内容") + except Exception as e: + logger.error(f"处理 '{plugin_dir.name}' 时发生意外错误: {e}") + +def main(): + """ + 主函数，扫描 "plugins" 目录，并将合格的插件转换并复制到 "completed_plugins" 目录。 + """ + # 使用相对于脚本位置的固定路径 + script_dir = Path(__file__).parent + input_path = script_dir / "pending_plugins" + output_path = script_dir / "completed_plugins" + + if not input_path.is_dir(): + logger.error(f"错误: 输入目录 '{input_path}' 不存在。") + input_path.mkdir(parents=True, exist_ok=True) + logger.info("请在新建的文件夹里面投入插件文件夹并重新启动脚本") + return + + output_path.mkdir(parents=True, exist_ok=True) + + logger.info(f"正在扫描 '{input_path}' 中的插件...") + for item in input_path.iterdir(): + if item.is_dir(): + logger.info(f"发现插件目录: '{item.name}'，开始处理...") + convert_and_copy_plugin(item, output_path) + + logger.info("所有插件处理完成。") + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/scripts/run_multi_stage_smoke.py b/scripts/test/run_multi_stage_smoke.py similarity index 100% rename from scripts/run_multi_stage_smoke.py rename to scripts/test/run_multi_stage_smoke.py diff --git a/scripts/text_length_analysis.py b/scripts/test/text_length_analysis.py similarity index 100% rename from scripts/text_length_analysis.py rename to scripts/test/text_length_analysis.py From 7c4af00b624ef56a65713c9d79a66efcd750dee2 Mon Sep 17 00:00:00 2001 From: minecraft1024a Date: Fri, 17 Oct 2025 21:07:34 +0800 Subject: [PATCH 02/24] =?UTF-8?q?fix(server):=20=E7=A7=BB=E9=99=A4?= =?UTF-8?q?=E5=90=AF=E5=8A=A8=E6=97=A5=E5=BF=97=E4=B8=AD=E5=A4=9A=E4=BD=99?= =?UTF-8?q?=E7=9A=84=E5=8D=8F=E8=AE=AE=E5=89=8D=E7=BC=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- src/common/server.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/common/server.py b/src/common/server.py index d34501e53..a4978ef87 100644 --- a/src/common/server.py +++ b/src/common/server.py @@ -79,7 +79,7 @@ class Server: logger.warning(f"端口 {self.port} 已被占用，正在尝试下一个端口...") self.port += 1 - logger.info(f"将在 http://{self.host}:{self.port} 上启动服务器") + logger.info(f"将在 {self.host}:{self.port} 上启动服务器") # 禁用 uvicorn 默认日志和访问日志 config = Config(app=self.app, host=self.host, port=self.port, log_config=None, access_log=False) self._server = UvicornServer(config=config) From 8c17a229471b7c3d0fb9621fd12d75eb9083ce07 Mon Sep 17 00:00:00 2001 From: minecraft1024a Date: Fri, 17 Oct 2025 21:15:12 +0800 Subject: [PATCH 03/24] =?UTF-8?q?=E7=8E=B0=E5=9C=A8=E4=B8=8D=E6=98=AF?= =?UTF-8?q?=E7=A9=BA=E7=9B=92=E5=AD=90=E4=BA=86?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- src/plugins/built_in/proactive_thinker/plugin.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/plugins/built_in/proactive_thinker/plugin.py b/src/plugins/built_in/proactive_thinker/plugin.py index e8740413f..c539aacea 100644 --- a/src/plugins/built_in/proactive_thinker/plugin.py +++ b/src/plugins/built_in/proactive_thinker/plugin.py @@ -15,7 +15,7 @@ logger = get_logger(__name__) @register_plugin class ProactiveThinkerPlugin(BasePlugin): - """一个主动思考的插件，但现在还只是个空壳子""" + """一个主动思考的插件""" plugin_name: str = "proactive_thinker" enable_plugin: bool = True From afeac77d1c3a674656b893b12816085dd994e32a Mon Sep 17 00:00:00 2001 From: minecraft1024a Date: Fri, 17 Oct 2025 21:20:43 +0800 Subject: [PATCH 04/24] =?UTF-8?q?docs(config):=20=E6=9B=B4=E6=96=B0?= =?UTF-8?q?=E9=85=8D=E7=BD=AE=E6=96=87=E4=BB=B6=E6=B3=A8=E9=87=8A=E8=AF=B4?= =?UTF-8?q?=E6=98=8E?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 将配置类继承说明从“重要的”改为“所有”，以强调所有配置类都必须继承自 `ValidatedConfigBase`。 --- src/config/official_configs.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/config/official_configs.py b/src/config/official_configs.py index ad6fbec3d..c5968822f 100644 --- a/src/config/official_configs.py +++ b/src/config/official_configs.py @@ -7,7 +7,7 @@ from src.config.config_base import ValidatedConfigBase """ 须知： 1. 本文件中记录了所有的配置项 -2. 重要的配置类继承自ValidatedConfigBase进行Pydantic验证 +2. 所有配置类必须继承自ValidatedConfigBase进行Pydantic验证 3. 所有新增的class都应在config.py中的Config类中添加字段 4. 对于新增的字段，若为可选项，则应在其后添加field()并设置default_factory或default """ From 39e672a1d5986c7f83f7d6a213523ec2cb2b94cf Mon Sep 17 00:00:00 2001 From: minecraft1024a Date: Fri, 17 Oct 2025 21:25:26 +0800 Subject: [PATCH 05/24] =?UTF-8?q?docs:=20=E6=9B=B4=E6=96=B0=20README.md=20?= =?UTF-8?q?=E4=B8=AD=E7=9A=84=E5=8A=9F=E8=83=BD=E6=8F=8F=E8=BF=B0=E5=92=8C?= =?UTF-8?q?=20admonition=20=E8=AF=AD=E6=B3=95?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 将 admonition 语法从 `[!docs: 更新 README.md 功能描述和 admonition 语法 - 将 admonition 语法从 `[!IMPORTANT]` 和 `[!WARNING]` 调整为 GitHub 支持的 `[IMPORTANT]` 和 `[WARNING]` 格式。 - 在“拓展功能”部分新增了“AFC 智能对话”特性。 - 移除了“原版功能”中重复列出的“智能对话系统”条目，使其更加清晰。 --- README.md | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 879f70112..46bb7174c 100644 --- a/README.md +++ b/README.md @@ -38,12 +38,12 @@ **MoFox_Bot** 是一个基于 [MaiCore](https://github.com/MaiM-with-u/MaiBot) `0.10.0 snapshot.5` 的增强型 fork 项目。我们保留了原项目几乎所有核心功能，并在此基础上进行了深度优化与功能扩展，致力于打造一个**更稳定、更智能、更具趣味性**的 AI 智能体。 -> [!IMPORTANT] +> [IMPORTANT] > **第三方项目声明** > > 本项目由 **MoFox Studio** 独立维护，为 **MaiBot 的第三方分支**，并非官方版本。所有更新与支持均由我们团队负责，与 MaiBot 官方无直接关系。 -> [!WARNING] +> [WARNING] > **迁移风险提示** > > 由于我们对数据库结构进行了重构与优化，从官方 MaiBot 直接迁移至 MoFox_Bot **可能导致数据不兼容**。请在迁移前**务必备份原始数据**，以避免信息丢失。 @@ -63,8 +63,6 @@ ### 🔧 原版功能（全部保留） - -- 🧠 **智能对话系统** - 基于 LLM 的自然语言交互，支持 normal 和 focus 统一化处理 - 🔌 **强大插件系统** - 全面重构的插件架构，支持完整的管理 API 和权限控制 - 💭 **实时思维系统** - 模拟人类思考过程 - 📚 **表达学习功能** - 学习群友的说话风格和表达方式 @@ -78,6 +76,7 @@ ### 🚀 拓展功能 +- 🧠 **AFC 智能对话** - 基于亲和力流，实现兴趣感知和动态关系构建 - 🔄 **数据库切换** - 支持 SQLite 与 MySQL 自由切换，采用 SQLAlchemy 2.0 重新构建 - 🛡️ **反注入集成** - 内置一整套回复前注入过滤系统，为人格保驾护航 - 🎥 **视频分析** - 支持多种视频识别模式，拓展原版视觉 From 72ea362e29b8b34c948bd361c49cee20b897174f Mon Sep 17 00:00:00 2001 From: tt-P607 <68868379+tt-P607@users.noreply.github.com> Date: Sat, 18 Oct 2025 00:46:17 +0800 Subject: [PATCH 06/24] =?UTF-8?q?feat(web=5Fsearch):=20=E6=96=B0=E5=A2=9E?= =?UTF-8?q?=20Metaso=20=E6=90=9C=E7=B4=A2=E5=BC=95=E6=93=8E=E6=94=AF?= =?UTF-8?q?=E6=8C=81?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 为联网搜索工具集成了新的搜索引擎 Metaso，为用户提供更多搜索选择。 - 在搜索引擎基类 `BaseSearchEngine` 中添加了可选的 `read_url` 方法，为未来支持直接读取网页内容奠定基础。 - 更新了插件加载、工具执行逻辑和配置文件模板，以完整支持 Metaso 引擎。 - 将默认回复生成器的任务超时时间从 15 秒延长至 45 秒，以适应联网搜索等耗时较长的操作，提高稳定性。 --- src/chat/replyer/default_generator.py | 2 +- .../built_in/web_search_tool/engines/base.py | 8 +- .../web_search_tool/engines/metaso_engine.py | 107 ++++++++++++++++++ .../built_in/web_search_tool/plugin.py | 8 +- .../web_search_tool/tools/web_search.py | 2 + template/bot_config_template.toml | 5 +- 6 files changed, 126 insertions(+), 6 deletions(-) create mode 100644 src/plugins/built_in/web_search_tool/engines/metaso_engine.py diff --git a/src/chat/replyer/default_generator.py b/src/chat/replyer/default_generator.py index 5afaaca75..9b25fd110 100644 --- a/src/chat/replyer/default_generator.py +++ b/src/chat/replyer/default_generator.py @@ -1256,7 +1256,7 @@ class DefaultReplyer: } # 设置超时 - timeout = 15.0 # 秒 + timeout = 45.0 # 秒 async def get_task_result(task_name, task): try: diff --git a/src/plugins/built_in/web_search_tool/engines/base.py b/src/plugins/built_in/web_search_tool/engines/base.py index 4fd2c452a..ed10af5fb 100644 --- a/src/plugins/built_in/web_search_tool/engines/base.py +++ b/src/plugins/built_in/web_search_tool/engines/base.py @@ -3,7 +3,7 @@ Base search engine interface """ from abc import ABC, abstractmethod -from typing import Any +from typing import Any, Optional class BaseSearchEngine(ABC): @@ -24,6 +24,12 @@ class BaseSearchEngine(ABC): """ pass + async def read_url(self, url: str) -> Optional[str]: + """ + 读取URL内容，如果引擎不支持则返回None + """ + return None + @abstractmethod def is_available(self) -> bool: """ diff --git a/src/plugins/built_in/web_search_tool/engines/metaso_engine.py b/src/plugins/built_in/web_search_tool/engines/metaso_engine.py new file mode 100644 index 000000000..7e89f6653 --- /dev/null +++ b/src/plugins/built_in/web_search_tool/engines/metaso_engine.py @@ -0,0 +1,107 @@ +""" +Metaso Search Engine (Chat Completions Mode) +""" +import json +from typing import Any, List + +import httpx + +from src.common.logger import get_logger +from src.plugin_system.apis import config_api + +from ..utils.api_key_manager import create_api_key_manager_from_config +from .base import BaseSearchEngine + +logger = get_logger(__name__) + + +class MetasoClient: + """A client to interact with the Metaso API.""" + + def __init__(self, api_key: str): + self.api_key = api_key + self.base_url = "https://metaso.cn/api/v1" + self.headers = { + "Authorization": f"Bearer {self.api_key}", + "Accept": "application/json", + "Content-Type": "application/json", + } + + async def search(self, query: str, **kwargs) -> List[dict[str, Any]]: + """Perform a search using the Metaso Chat Completions API.""" + payload = {"model": "fast", "stream": True, "messages": [{"role": "user", "content": query}]} + search_url = f"{self.base_url}/chat/completions" + full_response_content = "" + + async with httpx.AsyncClient(timeout=90.0) as client: + try: + async with client.stream("POST", search_url, headers=self.headers, json=payload) as response: + response.raise_for_status() + async for line in response.aiter_lines(): + if line.startswith("data:"): + data_str = line[len("data:") :].strip() + if data_str == "[DONE]": + break + try: + data = json.loads(data_str) + delta = data.get("choices", [{}])[0].get("delta", {}) + content_chunk = delta.get("content") + if content_chunk: + full_response_content += content_chunk + except json.JSONDecodeError: + logger.warning(f"Metaso stream: could not decode JSON line: {data_str}") + continue + + if not full_response_content: + logger.warning("Metaso search returned an empty stream.") + return [] + + return [ + { + "title": query, + "url": "https://metaso.cn/", + "snippet": full_response_content, + "provider": "Metaso (Chat)", + } + ] + except httpx.HTTPStatusError as e: + logger.error(f"HTTP error occurred while searching with Metaso Chat: {e.response.text}") + return [] + except Exception as e: + logger.error(f"An error occurred while searching with Metaso Chat: {e}", exc_info=True) + return [] + + +class MetasoSearchEngine(BaseSearchEngine): + """Metaso Search Engine implementation.""" + + def __init__(self): + self._initialize_clients() + + def _initialize_clients(self): + """Initialize Metaso clients.""" + metaso_api_keys = config_api.get_global_config("web_search.metaso_api_keys", None) + self.api_manager = create_api_key_manager_from_config( + metaso_api_keys, lambda key: MetasoClient(api_key=key), "Metaso" + ) + + def is_available(self) -> bool: + """Check if the Metaso search engine is available.""" + return self.api_manager.is_available() + + async def search(self, args: dict[str, Any]) -> list[dict[str, Any]]: + """Execute a Metaso search.""" + if not self.is_available(): + return [] + + query = args["query"] + try: + metaso_client = self.api_manager.get_next_client() + if not metaso_client: + logger.error("Could not get Metaso client.") + return [] + + return await metaso_client.search(query) + except Exception as e: + logger.error(f"Metaso search failed: {e}", exc_info=True) + return [] diff --git a/src/plugins/built_in/web_search_tool/plugin.py b/src/plugins/built_in/web_search_tool/plugin.py index 33e67bcab..f9980985a 100644 --- a/src/plugins/built_in/web_search_tool/plugin.py +++ b/src/plugins/built_in/web_search_tool/plugin.py @@ -22,6 +22,7 @@ class WEBSEARCHPLUGIN(BasePlugin): 提供网络搜索和URL解析功能，支持多种搜索引擎： - Exa (需要API密钥) - Tavily (需要API密钥) + - Metaso (需要API密钥) - DuckDuckGo (免费) - Bing (免费) """ @@ -43,6 +44,7 @@ class WEBSEARCHPLUGIN(BasePlugin): from .engines.exa_engine import ExaSearchEngine from .engines.searxng_engine import SearXNGSearchEngine from .engines.tavily_engine import TavilySearchEngine + from .engines.metaso_engine import MetasoSearchEngine # 实例化所有搜索引擎，这会触发API密钥管理器的初始化 exa_engine = ExaSearchEngine() @@ -50,14 +52,16 @@ class WEBSEARCHPLUGIN(BasePlugin): ddg_engine = DDGSearchEngine() bing_engine = BingSearchEngine() searxng_engine = SearXNGSearchEngine() - - # 报告每个引擎的状态 + metaso_engine = MetasoSearchEngine() + + # 报告每个引擎的状态 engines_status = { "Exa": exa_engine.is_available(), "Tavily": tavily_engine.is_available(), "DuckDuckGo": ddg_engine.is_available(), "Bing": bing_engine.is_available(), "SearXNG": searxng_engine.is_available(), + "Metaso": metaso_engine.is_available(), } available_engines = [name for name, available in engines_status.items() if available] diff --git a/src/plugins/built_in/web_search_tool/tools/web_search.py b/src/plugins/built_in/web_search_tool/tools/web_search.py index 637349534..2fcd46065 100644 --- a/src/plugins/built_in/web_search_tool/tools/web_search.py +++ b/src/plugins/built_in/web_search_tool/tools/web_search.py @@ -15,6 +15,7 @@ from ..engines.ddg_engine import DDGSearchEngine from ..engines.exa_engine import ExaSearchEngine from ..engines.searxng_engine import SearXNGSearchEngine from ..engines.tavily_engine import TavilySearchEngine +from ..engines.metaso_engine import MetasoSearchEngine from ..utils.formatters import deduplicate_results, format_search_results logger = get_logger("web_search_tool") @@ -51,6 +52,7 @@ class WebSurfingTool(BaseTool): "ddg": DDGSearchEngine(), "bing": BingSearchEngine(), "searxng": SearXNGSearchEngine(), + "metaso": MetasoSearchEngine(), } async def execute(self, function_args: dict[str, Any]) -> dict[str, Any]: diff --git a/template/bot_config_template.toml b/template/bot_config_template.toml index 708de1051..0d4581d07 100644 --- a/template/bot_config_template.toml +++ b/template/bot_config_template.toml @@ -1,5 +1,5 @@ [inner] -version = "7.3.1" +version = "7.3.2" #----以下是给开发人员阅读的，如果你只是部署了MoFox-Bot，不需要阅读---- #如果你想要修改配置文件，请递增version的值 @@ -465,11 +465,12 @@ enable_web_search_tool = true # 是否启用联网搜索tool enable_url_tool = true # 是否启用URL解析tool tavily_api_keys = ["None"]# Tavily API密钥列表，支持轮询机制 exa_api_keys = ["None"]# EXA API密钥列表，支持轮询机制 +metaso_api_keys = ["None"]# Metaso API密钥列表，支持轮询机制 searxng_instances = [] # SearXNG 实例 URL 列表 searxng_api_keys = []# SearXNG 实例 API 密钥列表 # 搜索引擎配置 -enabled_engines = ["ddg"] # 启用的搜索引擎列表，可选: "exa", "tavily", "ddg","bing" +enabled_engines = ["ddg"] # 启用的搜索引擎列表，可选: "exa", "tavily", "ddg","bing", "metaso" search_strategy = "single" # 搜索策略: "single"(使用第一个可用引擎), "parallel"(并行使用所有启用的引擎), "fallback"(按顺序尝试，失败则尝试下一个) [sleep_system] From 8c9777446569feaf6971b4cf193305e345731491 Mon Sep 17 00:00:00 2001 From: minecraft1024a Date: Sat, 18 Oct 2025 11:11:05 +0800 Subject: [PATCH 07/24] ruff ci --- plugins/hello_world_plugin/plugin.py | 5 ++- scripts/convert_manifest.py | 33 +++++++++--------- src/chat/message_manager/message_manager.py | 7 ++-- .../sleep_system/sleep_logic.py | 20 +++++------ .../sleep_system/state_manager.py | 18 +++++----- .../message_manager/sleep_system/tasks.py | 1 + src/chat/planner_actions/action_modifier.py | 24 ++++++------- src/chat/utils/utils.py | 34 +++++++++---------- src/main.py | 2 +- src/plugin_system/base/base_action.py | 18 +++++----- src/plugin_system/base/component_types.py | 4 +-- .../affinity_flow_chatter/plan_filter.py | 1 - .../proacive_thinker_event.py | 2 +- ui_log_adapter.py | 2 +- 14 files changed, 85 insertions(+), 86 deletions(-) diff --git a/plugins/hello_world_plugin/plugin.py b/plugins/hello_world_plugin/plugin.py index 0f2404281..5d1026d52 100644 --- a/plugins/hello_world_plugin/plugin.py +++ b/plugins/hello_world_plugin/plugin.py @@ -3,7 +3,6 @@ import random from typing import Any from src.plugin_system import ( - ActionActivationType, BaseAction, BaseEventHandler, BasePlugin, @@ -133,11 +132,11 @@ class CombinedActivationExampleAction(BaseAction): # 先尝试随机激活 if await self._random_activation(0.2): return True - + # 如果随机未激活，尝试关键词匹配 if await self._keyword_match(chat_content, ["表情", "emoji", "😊"], case_sensitive=False): return True - + # 都不满足则不激活 return False diff --git a/scripts/convert_manifest.py b/scripts/convert_manifest.py index 886d84eb8..f92c84754 100644 --- a/scripts/convert_manifest.py +++ b/scripts/convert_manifest.py @@ -1,9 +1,10 @@ -import orjson import os import shutil import sys from pathlib import Path +import orjson + # 将脚本所在的目录添加到系统路径中，以便导入项目模块 sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))) from src.common.logger import get_logger @@ -14,7 +15,7 @@ def convert_and_copy_plugin(plugin_dir: Path, output_dir: Path): """ 转换插件的 _manifest.json 文件，并将其整个目录复制到输出位置。 """ - manifest_path = plugin_dir / '_manifest.json' + manifest_path = plugin_dir / "_manifest.json" if not manifest_path.is_file(): logger.warning(f"在目录 '{plugin_dir.name}' 中未找到 '_manifest.json'，已跳过。") return @@ -28,16 +29,16 @@ def convert_and_copy_plugin(plugin_dir: Path, output_dir: Path): logger.info(f"已将插件 '{plugin_dir.name}' 完整复制到 '{target_plugin_dir}'") # 2. 读取 manifest 并生成 __init__.py 内容 - with open(manifest_path, 'rb') as f: + with open(manifest_path, "rb") as f: manifest = orjson.loads(f.read()) - plugin_name = manifest.get('name', 'Unknown Plugin') - description = manifest.get('description', 'No description provided.') - version = manifest.get('version', '0.0.0') - author = manifest.get('author', {}).get('name', 'Unknown Author') - license_type = manifest.get('license', 'N/A') + plugin_name = manifest.get("name", "Unknown Plugin") + description = manifest.get("description", "No description provided.") + version = manifest.get("version", "0.0.0") + author = manifest.get("author", {}).get("name", "Unknown Author") + license_type = manifest.get("license", "N/A") - meta_template = f'''from src.plugin_system.base.plugin_metadata import PluginMetadata + meta_template = f"""from src.plugin_system.base.plugin_metadata import PluginMetadata __plugin_meta__ = PluginMetadata( name="{plugin_name}", @@ -47,14 +48,14 @@ __plugin_meta__ = PluginMetadata( author="{author}", license="{license_type}", ) -''' +""" # 3. 在复制后的目录中创建或覆盖 __init__.py - output_init_path = target_plugin_dir / '__init__.py' - with open(output_init_path, 'w', encoding='utf-8') as f: + output_init_path = target_plugin_dir / "__init__.py" + with open(output_init_path, "w", encoding="utf-8") as f: f.write(meta_template) - + # 4. 删除复制后的 _manifest.json - copied_manifest_path = target_plugin_dir / '_manifest.json' + copied_manifest_path = target_plugin_dir / "_manifest.json" if copied_manifest_path.is_file(): copied_manifest_path.unlink() @@ -89,8 +90,8 @@ def main(): if item.is_dir(): logger.info(f"发现插件目录: '{item.name}'，开始处理...") convert_and_copy_plugin(item, output_path) - + logger.info("所有插件处理完成。") if __name__ == "__main__": - main() \ No newline at end of file + main() diff --git a/src/chat/message_manager/message_manager.py b/src/chat/message_manager/message_manager.py index a58c82485..742fae013 100644 --- a/src/chat/message_manager/message_manager.py +++ b/src/chat/message_manager/message_manager.py @@ -7,7 +7,7 @@ import asyncio import random import time from collections import defaultdict, deque -from typing import TYPE_CHECKING, Any, Dict +from typing import TYPE_CHECKING, Any from src.chat.chatter_manager import ChatterManager from src.chat.message_receive.chat_stream import ChatStream @@ -21,7 +21,6 @@ from src.plugin_system.apis.chat_api import get_chat_manager from .distribution_manager import stream_loop_manager from .sleep_system.state_manager import SleepState, sleep_state_manager - if TYPE_CHECKING: pass @@ -44,8 +43,8 @@ class MessageManager: self.chatter_manager = ChatterManager(self.action_manager) # 消息缓存系统 - 直接集成到消息管理器 - self.message_caches: Dict[str, deque] = defaultdict(deque) # 每个流的消息缓存 - self.stream_processing_status: Dict[str, bool] = defaultdict(bool) # 流的处理状态 + self.message_caches: dict[str, deque] = defaultdict(deque) # 每个流的消息缓存 + self.stream_processing_status: dict[str, bool] = defaultdict(bool) # 流的处理状态 self.cache_stats = { "total_cached_messages": 0, "total_flushed_messages": 0, diff --git a/src/chat/message_manager/sleep_system/sleep_logic.py b/src/chat/message_manager/sleep_system/sleep_logic.py index 82291f082..9ad48092e 100644 --- a/src/chat/message_manager/sleep_system/sleep_logic.py +++ b/src/chat/message_manager/sleep_system/sleep_logic.py @@ -1,10 +1,10 @@ -from datetime import datetime, time, timedelta import random -from typing import Optional, Tuple +from datetime import datetime, timedelta from src.common.logger import get_logger from src.config.config import global_config from src.schedule.schedule_manager import schedule_manager + from .state_manager import SleepState, sleep_state_manager logger = get_logger("sleep_logic") @@ -77,7 +77,7 @@ class SleepLogic: logger.info(f"当前时间 {now.strftime('%H:%M')} 已到达或超过预定起床时间 {wake_up_time.strftime('%H:%M')}。") sleep_state_manager.set_state(SleepState.AWAKE) - def _should_be_sleeping(self, now: datetime) -> Tuple[bool, Optional[datetime]]: + def _should_be_sleeping(self, now: datetime) -> tuple[bool, datetime | None]: """ 判断在当前时刻，是否应该处于睡眠时间。 @@ -108,10 +108,10 @@ class SleepLogic: return True, wake_up_time # 如果当前时间大于入睡时间，说明已经进入睡眠窗口 return True, wake_up_time - + return False, None - def _get_fixed_sleep_times(self, now: datetime) -> Tuple[Optional[datetime], Optional[datetime]]: + def _get_fixed_sleep_times(self, now: datetime) -> tuple[datetime | None, datetime | None]: """ 当使用“固定时间”模式时，从此方法计算睡眠和起床时间。 会加入配置中的随机偏移量，让作息更自然。 @@ -129,7 +129,7 @@ class SleepLogic: wake_up_t = datetime.strptime(sleep_config.fixed_wake_up_time, "%H:%M").time() sleep_time = datetime.combine(now.date(), sleep_t) + timedelta(minutes=sleep_offset) - + # 如果起床时间比睡觉时间早，说明是第二天 wake_up_day = now.date() + timedelta(days=1) if wake_up_t < sleep_t else now.date() wake_up_time = datetime.combine(wake_up_day, wake_up_t) + timedelta(minutes=wake_up_offset) @@ -139,7 +139,7 @@ class SleepLogic: logger.error(f"解析固定睡眠时间失败: {e}") return None, None - def _get_sleep_times_from_schedule(self, now: datetime) -> Tuple[Optional[datetime], Optional[datetime]]: + def _get_sleep_times_from_schedule(self, now: datetime) -> tuple[datetime | None, datetime | None]: """ 当使用“日程表”模式时，从此方法获取睡眠时间。 实现了核心逻辑： @@ -164,8 +164,8 @@ class SleepLogic: wake_up_time = None return sleep_time, wake_up_time - - def _get_wakeup_times_from_schedule(self, now: datetime) -> Tuple[Optional[datetime], Optional[datetime]]: + + def _get_wakeup_times_from_schedule(self, now: datetime) -> tuple[datetime | None, datetime | None]: """ 当使用“日程表”模式时，从此方法获取睡眠时间。 实现了核心逻辑： @@ -192,4 +192,4 @@ class SleepLogic: # 全局单例 -sleep_logic = SleepLogic() \ No newline at end of file +sleep_logic = SleepLogic() diff --git a/src/chat/message_manager/sleep_system/state_manager.py b/src/chat/message_manager/sleep_system/state_manager.py index 89262cd82..870e6ddf1 100644 --- a/src/chat/message_manager/sleep_system/state_manager.py +++ b/src/chat/message_manager/sleep_system/state_manager.py @@ -1,6 +1,6 @@ import enum from datetime import datetime, timedelta -from typing import Any, Dict, Optional +from typing import Any from src.common.logger import get_logger from src.manager.local_store_manager import local_storage @@ -43,7 +43,7 @@ class SleepStateManager: """ 初始化状态管理器，定义状态数据结构并从本地加载历史状态。 """ - self.state: Dict[str, Any] = {} + self.state: dict[str, Any] = {} self._default_state() self.load_state() @@ -115,9 +115,9 @@ class SleepStateManager: def set_state( self, new_state: SleepState, - duration_seconds: Optional[float] = None, - sleep_start: Optional[datetime] = None, - wake_up: Optional[datetime] = None, + duration_seconds: float | None = None, + sleep_start: datetime | None = None, + wake_up: datetime | None = None, ): """ 核心函数：切换到新的睡眠状态，并更新相关的状态数据。 @@ -132,7 +132,7 @@ class SleepStateManager: if new_state == SleepState.AWAKE: self._default_state() # 醒来时重置所有状态 self.state["state"] = SleepState.AWAKE # 确保状态正确 - + elif new_state == SleepState.SLEEPING: self.state["sleep_start_time"] = (sleep_start or datetime.now()).isoformat() self.state["wake_up_time"] = wake_up.isoformat() if wake_up else None @@ -153,7 +153,7 @@ class SleepStateManager: self.state["last_checked"] = datetime.now().isoformat() self.save_state() - def get_wake_up_time(self) -> Optional[datetime]: + def get_wake_up_time(self) -> datetime | None: """获取预定的起床时间，如果已设置的话。""" wake_up_str = self.state.get("wake_up_time") if wake_up_str: @@ -163,7 +163,7 @@ class SleepStateManager: return None return None - def get_sleep_start_time(self) -> Optional[datetime]: + def get_sleep_start_time(self) -> datetime | None: """获取本次睡眠的开始时间，如果已设置的话。""" sleep_start_str = self.state.get("sleep_start_time") if sleep_start_str: @@ -187,4 +187,4 @@ class SleepStateManager: # 全局单例 -sleep_state_manager = SleepStateManager() \ No newline at end of file +sleep_state_manager = SleepStateManager() diff --git a/src/chat/message_manager/sleep_system/tasks.py b/src/chat/message_manager/sleep_system/tasks.py index 7016c8ef0..d8216bd5a 100644 --- a/src/chat/message_manager/sleep_system/tasks.py +++ b/src/chat/message_manager/sleep_system/tasks.py @@ -1,5 +1,6 @@ from src.common.logger import get_logger from src.manager.async_task_manager import AsyncTask, async_task_manager + from .sleep_logic import sleep_logic logger = get_logger("sleep_tasks") diff --git a/src/chat/planner_actions/action_modifier.py b/src/chat/planner_actions/action_modifier.py index 93db8451b..35a17d675 100644 --- a/src/chat/planner_actions/action_modifier.py +++ b/src/chat/planner_actions/action_modifier.py @@ -11,7 +11,7 @@ from src.common.data_models.message_manager_data_model import StreamContext from src.common.logger import get_logger from src.config.config import global_config, model_config from src.llm_models.utils_model import LLMRequest -from src.plugin_system.base.component_types import ActionActivationType, ActionInfo +from src.plugin_system.base.component_types import ActionInfo from src.plugin_system.core.global_announcement_manager import global_announcement_manager if TYPE_CHECKING: @@ -207,18 +207,18 @@ class ActionModifier: List[Tuple[str, str]]: 需要停用的 (action_name, reason) 元组列表 """ deactivated_actions = [] - + # 获取 Action 类注册表 - from src.plugin_system.core.component_registry import component_registry from src.plugin_system.base.component_types import ComponentType - + from src.plugin_system.core.component_registry import component_registry + actions_to_check = list(actions_with_info.items()) random.shuffle(actions_to_check) - + # 创建并行任务列表 activation_tasks = [] task_action_names = [] - + for action_name, action_info in actions_to_check: # 获取 Action 类 action_class = component_registry.get_component_class(action_name, ComponentType.ACTION) @@ -226,7 +226,7 @@ class ActionModifier: logger.warning(f"{self.log_prefix}未找到 Action 类: {action_name}，默认不激活") deactivated_actions.append((action_name, "未找到 Action 类")) continue - + # 创建一个临时实例来调用 go_activate 方法 # 注意：这里只是为了调用 go_activate，不需要完整的初始化 try: @@ -237,24 +237,24 @@ class ActionModifier: action_instance.log_prefix = self.log_prefix # 设置聊天内容，用于激活判断 action_instance._activation_chat_content = chat_content - + # 调用 go_activate 方法（不再需要传入 chat_content） task = action_instance.go_activate( llm_judge_model=self.llm_judge, ) activation_tasks.append(task) task_action_names.append(action_name) - + except Exception as e: logger.error(f"{self.log_prefix}创建 Action 实例 {action_name} 失败: {e}") deactivated_actions.append((action_name, f"创建实例失败: {e}")) - + # 并行执行所有激活判断 if activation_tasks: logger.debug(f"{self.log_prefix}并行执行激活判断，任务数: {len(activation_tasks)}") try: task_results = await asyncio.gather(*activation_tasks, return_exceptions=True) - + # 处理结果 for action_name, result in zip(task_action_names, task_results, strict=False): if isinstance(result, Exception): @@ -267,7 +267,7 @@ class ActionModifier: else: # go_activate 返回 True，激活 logger.debug(f"{self.log_prefix}激活动作: {action_name}") - + except Exception as e: logger.error(f"{self.log_prefix}并行激活判断失败: {e}") # 如果并行执行失败，为所有任务默认不激活 diff --git a/src/chat/utils/utils.py b/src/chat/utils/utils.py index aaf4fe4cd..953f47f4d 100644 --- a/src/chat/utils/utils.py +++ b/src/chat/utils/utils.py @@ -298,14 +298,14 @@ def random_remove_punctuation(text: str) -> str: def protect_special_blocks(text: str) -> tuple[str, dict[str, str]]: """识别并保护数学公式和代码块，返回处理后的文本和映射""" placeholder_map = {} - + # 第一层防护：优先保护标准Markdown格式 # 使用 re.S 来让 . 匹配换行符 markdown_patterns = { - 'code': r"```.*?```", - 'math': r"\$\$.*?\$\$", + "code": r"```.*?```", + "math": r"\$\$.*?\$\$", } - + placeholder_idx = 0 for block_type, pattern in markdown_patterns.items(): matches = re.findall(pattern, text, re.S) @@ -318,7 +318,7 @@ def protect_special_blocks(text: str) -> tuple[str, dict[str, str]]: # 第二层防护：保护非标准的、可能是公式或代码的片段 # 这个正则表达式寻找连续5个以上的、主要由非中文字符组成的片段 general_pattern = r"(?:[a-zA-Z0-9\s.,;:(){}\[\]_+\-*/=<>^|&%?!'\"√²³ⁿ∑∫≠≥≤]){5,}" - + # 为了避免与已保护的占位符冲突，我们在剩余的文本上进行查找 # 这是一个简化的处理，更稳妥的方式是分段查找，但目前这样足以应对多数情况 try: @@ -327,7 +327,7 @@ def protect_special_blocks(text: str) -> tuple[str, dict[str, str]]: # 避免将包含占位符的片段再次保护 if "__SPECIAL_" in match: continue - + placeholder = f"__SPECIAL_GENERAL_{placeholder_idx}__" text = text.replace(match, placeholder, 1) placeholder_map[placeholder] = match @@ -352,23 +352,23 @@ def protect_quoted_content(text: str) -> tuple[str, dict[str, str]]: placeholder_map = {} # 匹配中英文单双引号，使用非贪婪模式 quote_pattern = re.compile(r'(".*?")|(\'.*?\')|(“.*?”)|(‘.*?’)') - + matches = quote_pattern.finditer(text) - + # 为了避免替换时索引错乱，我们从后往前替换 # finditer 找到的是 match 对象，我们需要转换为 list 来反转 match_list = list(matches) - + for idx, match in enumerate(reversed(match_list)): original_quoted_text = match.group(0) placeholder = f"__QUOTE_{len(match_list) - 1 - idx}__" - + # 直接在原始文本上操作，替换 match 对象的 span start, end = match.span() text = text[:start] + placeholder + text[end:] - + placeholder_map[placeholder] = original_quoted_text - + return text, placeholder_map @@ -389,13 +389,13 @@ def process_llm_response(text: str, enable_splitter: bool = True, enable_chinese # --- 三层防护系统 --- # 第一层：保护颜文字 protected_text, kaomoji_mapping = protect_kaomoji(text) if global_config.response_splitter.enable_kaomoji_protection else (text, {}) - + # 第二层：保护引号内容 protected_text, quote_mapping = protect_quoted_content(protected_text) # 第三层：保护数学公式和代码块 protected_text, special_blocks_mapping = protect_special_blocks(protected_text) - + # 提取被 () 或 [] 或 （）包裹且包含中文的内容 pattern = re.compile(r"[(\[（](?=.*[一-鿿]).*?[)\]）]") _extracted_contents = pattern.findall(protected_text) @@ -412,7 +412,7 @@ def process_llm_response(text: str, enable_splitter: bool = True, enable_chinese # 对清理后的文本进行进一步处理 max_sentence_num = global_config.response_splitter.max_sentence_num - + # --- 移除总长度检查 --- # 原有的总长度检查会导致长回复被直接丢弃，现已移除，由后续的智能合并逻辑处理。 # max_length = global_config.response_splitter.max_length * 2 @@ -472,7 +472,7 @@ def process_llm_response(text: str, enable_splitter: bool = True, enable_chinese break # 寻找最短的相邻句子对 - min_len = float('inf') + min_len = float("inf") merge_idx = -1 for i in range(len(sentences) - 1): combined_len = len(sentences[i]) + len(sentences[i+1]) @@ -488,7 +488,7 @@ def process_llm_response(text: str, enable_splitter: bool = True, enable_chinese sentences[merge_idx] = merged_sentence # 删除后一个句子 del sentences[merge_idx + 1] - + logger.info(f"智能合并完成，最终消息数量: {len(sentences)}") # if extracted_contents: diff --git a/src/main.py b/src/main.py index b566f4efc..abf4ca1ae 100644 --- a/src/main.py +++ b/src/main.py @@ -13,6 +13,7 @@ from rich.traceback import install from src.chat.emoji_system.emoji_manager import get_emoji_manager from src.chat.memory_system.memory_manager import memory_manager +from src.chat.message_manager.sleep_system.tasks import start_sleep_system_tasks from src.chat.message_receive.bot import chat_bot from src.chat.message_receive.chat_stream import get_chat_manager from src.chat.utils.statistic import OnlineTimeRecordTask, StatisticOutputTask @@ -29,7 +30,6 @@ from src.plugin_system.core.event_manager import event_manager from src.plugin_system.core.plugin_manager import plugin_manager from src.schedule.monthly_plan_manager import monthly_plan_manager from src.schedule.schedule_manager import schedule_manager -from src.chat.message_manager.sleep_system.tasks import start_sleep_system_tasks # 插件系统现在使用统一的插件加载器 install(extra_lines=3) diff --git a/src/plugin_system/base/base_action.py b/src/plugin_system/base/base_action.py index 4b0ab544b..5790d2312 100644 --- a/src/plugin_system/base/base_action.py +++ b/src/plugin_system/base/base_action.py @@ -615,15 +615,15 @@ class BaseAction(ABC): """ # 尝试从不同的实例属性中获取聊天内容 # 优先级：_activation_chat_content > action_data['chat_content'] > "" - + # 1. 如果有专门设置的激活用聊天内容（由 ActionModifier 设置） - if hasattr(self, '_activation_chat_content'): - return getattr(self, '_activation_chat_content', "") - + if hasattr(self, "_activation_chat_content"): + return getattr(self, "_activation_chat_content", "") + # 2. 尝试从 action_data 中获取 - if hasattr(self, 'action_data') and isinstance(self.action_data, dict): - return self.action_data.get('chat_content', "") - + if hasattr(self, "action_data") and isinstance(self.action_data, dict): + return self.action_data.get("chat_content", "") + # 3. 默认返回空字符串 return "" @@ -729,7 +729,7 @@ class BaseAction(ABC): # 自动获取聊天内容 chat_content = self._get_chat_content() - + search_text = chat_content if not case_sensitive: search_text = search_text.lower() @@ -786,7 +786,7 @@ class BaseAction(ABC): try: # 自动获取聊天内容 chat_content = self._get_chat_content() - + # 如果没有提供 LLM 模型，创建一个默认的 if llm_judge_model is None: from src.config.config import model_config diff --git a/src/plugin_system/base/component_types.py b/src/plugin_system/base/component_types.py index 6adbb9586..53952319e 100644 --- a/src/plugin_system/base/component_types.py +++ b/src/plugin_system/base/component_types.py @@ -143,7 +143,7 @@ class ActionInfo(ComponentInfo): ) # 动作参数与描述，例如 {"param1": "描述1", "param2": "描述2"} action_require: list[str] = field(default_factory=list) # 动作需求说明 associated_types: list[str] = field(default_factory=list) # 关联的消息类型 - + # ================================================================================== # 激活类型相关字段（已废弃，建议使用 go_activate() 方法） # 保留这些字段是为了向后兼容，BaseAction.go_activate() 的默认实现会使用这些字段 @@ -155,7 +155,7 @@ class ActionInfo(ComponentInfo): llm_judge_prompt: str = "" # 已废弃，建议在 go_activate() 中使用 _llm_judge_activation() activation_keywords: list[str] = field(default_factory=list) # 已废弃，建议在 go_activate() 中使用 _keyword_match() keyword_case_sensitive: bool = False # 已废弃 - + # 模式和并行设置 mode_enable: ChatMode = ChatMode.ALL parallel_action: bool = False diff --git a/src/plugins/built_in/affinity_flow_chatter/plan_filter.py b/src/plugins/built_in/affinity_flow_chatter/plan_filter.py index 3c41334fe..275efddf3 100644 --- a/src/plugins/built_in/affinity_flow_chatter/plan_filter.py +++ b/src/plugins/built_in/affinity_flow_chatter/plan_filter.py @@ -156,7 +156,6 @@ class ChatterPlanFilter: schedule_block = "" # 优先检查是否被吵醒 - from src.chat.message_manager.message_manager import message_manager angry_prompt_addition = "" try: diff --git a/src/plugins/built_in/proactive_thinker/proacive_thinker_event.py b/src/plugins/built_in/proactive_thinker/proacive_thinker_event.py index 45c55a0df..16d16dc6f 100644 --- a/src/plugins/built_in/proactive_thinker/proacive_thinker_event.py +++ b/src/plugins/built_in/proactive_thinker/proacive_thinker_event.py @@ -6,6 +6,7 @@ from datetime import datetime from maim_message import UserInfo +from src.chat.message_manager.sleep_system.state_manager import SleepState, sleep_state_manager from src.chat.message_receive.chat_stream import get_chat_manager from src.common.logger import get_logger from src.config.config import global_config @@ -13,7 +14,6 @@ from src.manager.async_task_manager import AsyncTask, async_task_manager from src.plugin_system import BaseEventHandler, EventType from src.plugin_system.apis import chat_api, message_api, person_api from src.plugin_system.base.base_event import HandlerResult -from src.chat.message_manager.sleep_system.state_manager import SleepState, sleep_state_manager from .proactive_thinker_executor import ProactiveThinkerExecutor diff --git a/ui_log_adapter.py b/ui_log_adapter.py index 8ea99ec83..3d288b86d 100644 --- a/ui_log_adapter.py +++ b/ui_log_adapter.py @@ -107,7 +107,7 @@ class UILogHandler(logging.Handler): # if not success: # print(f"[UI日志适配器] 日志发送失败: {ui_level} - {formatted_msg[:50]}...") - except Exception as e: + except Exception: # 静默失败，不影响主程序 pass From bafddb39e8c56afb8292077096eec0bbe2334a79 Mon Sep 17 00:00:00 2001 From: LuiKlee Date: Sat, 18 Oct 2025 12:08:21 +0800 Subject: [PATCH 08/24] =?UTF-8?q?=E8=B0=83=E6=95=B4=E6=A0=BC=E5=BC=8F?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit From 373db7776886ae98f5bc8e9533e255490379b546 Mon Sep 17 00:00:00 2001 From: tt-P607 <68868379+tt-P607@users.noreply.github.com> Date: Sat, 18 Oct 2025 17:09:18 +0800 Subject: [PATCH 09/24] =?UTF-8?q?Revert=20"=E6=80=BB=E4=B9=8B=E5=B0=B1?= =?UTF-8?q?=E6=98=AF=E7=9F=A5=E8=AF=86=E5=BA=93"?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This reverts commit 0383a999fb4f9187d26b48e04bbb27e0d2592218. --- scripts/lpmm_learning_tool.py | 91 ++++++------- src/chat/knowledge/embedding_store.py | 176 ++++++++++++++++---------- 2 files changed, 153 insertions(+), 114 deletions(-) diff --git a/scripts/lpmm_learning_tool.py b/scripts/lpmm_learning_tool.py index 77f1a8fd3..884b4e9e3 100644 --- a/scripts/lpmm_learning_tool.py +++ b/scripts/lpmm_learning_tool.py @@ -191,7 +191,11 @@ async def extract_info_async(pg_hash, paragraph, llm_api): return None, pg_hash -async def extract_information(paragraphs_dict, model_set): +def extract_info_sync(pg_hash, paragraph, llm_api): + return asyncio.run(extract_info_async(pg_hash, paragraph, llm_api)) + + +def extract_information(paragraphs_dict, model_set): logger.info("--- 步骤 2: 开始信息提取 ---") os.makedirs(OPENIE_OUTPUT_DIR, exist_ok=True) os.makedirs(TEMP_DIR, exist_ok=True) @@ -199,35 +203,32 @@ async def extract_information(paragraphs_dict, model_set): llm_api = LLMRequest(model_set=model_set) failed_hashes, open_ie_docs = [], [] - tasks = [ - extract_info_async(p_hash, p, llm_api) - for p_hash, p in paragraphs_dict.items() - ] - - with Progress( - SpinnerColumn(), - TextColumn("[progress.description]{task.description}"), - BarColumn(), - TaskProgressColumn(), - MofNCompleteColumn(), - "•", - TimeElapsedColumn(), - "<", - TimeRemainingColumn(), - ) as progress: - prog_task = progress.add_task("[cyan]正在提取信息...", total=len(tasks)) - for future in asyncio.as_completed(tasks): - doc_item, failed_hash = await future - if failed_hash: - failed_hashes.append(failed_hash) - elif doc_item: - open_ie_docs.append(doc_item) - progress.update(prog_task, advance=1) + with ThreadPoolExecutor(max_workers=5) as executor: + f_to_hash = { + executor.submit(extract_info_sync, p_hash, p, llm_api): p_hash for p_hash, p in paragraphs_dict.items() + } + with Progress( + SpinnerColumn(), + TextColumn("[progress.description]{task.description}"), + BarColumn(), + TaskProgressColumn(), + MofNCompleteColumn(), + "•", + TimeElapsedColumn(), + "<", + TimeRemainingColumn(), + ) as progress: + task = progress.add_task("[cyan]正在提取信息...", total=len(paragraphs_dict)) + for future in as_completed(f_to_hash): + doc_item, failed_hash = future.result() + if failed_hash: + failed_hashes.append(failed_hash) + elif doc_item: + open_ie_docs.append(doc_item) + progress.update(task, advance=1) if open_ie_docs: - all_entities = [ - e for doc in open_ie_docs for e in doc["extracted_entities"] - ] + all_entities = [e for doc in open_ie_docs for e in doc["extracted_entities"]] num_entities = len(all_entities) avg_ent_chars = round(sum(len(e) for e in all_entities) / num_entities, 4) if num_entities else 0 avg_ent_words = round(sum(len(e.split()) for e in all_entities) / num_entities, 4) if num_entities else 0 @@ -312,7 +313,7 @@ async def import_data(openie_obj: OpenIE | None = None): logger.info("--- 数据导入完成 ---") -async def import_from_specific_file(): +def import_from_specific_file(): """从用户指定的 openie.json 文件导入数据""" file_path = input("请输入 openie.json 文件的完整路径: ").strip() @@ -327,7 +328,7 @@ async def import_from_specific_file(): try: logger.info(f"正在从 {file_path} 加载 OpenIE 数据...") openie_obj = OpenIE.load() - await import_data(openie_obj=openie_obj) + asyncio.run(import_data(openie_obj=openie_obj)) except Exception as e: logger.error(f"从指定文件导入数据时发生错误: {e}") @@ -335,20 +336,14 @@ async def import_from_specific_file(): # --- 主函数 --- -async def async_main(): +def main(): # 使用 os.path.relpath 创建相对于项目根目录的友好路径 - raw_data_relpath = os.path.relpath( - RAW_DATA_PATH, os.path.join(ROOT_PATH, "..") - ) - openie_output_relpath = os.path.relpath( - OPENIE_OUTPUT_DIR, os.path.join(ROOT_PATH, "..") - ) + raw_data_relpath = os.path.relpath(RAW_DATA_PATH, os.path.join(ROOT_PATH, "..")) + openie_output_relpath = os.path.relpath(OPENIE_OUTPUT_DIR, os.path.join(ROOT_PATH, "..")) print("=== LPMM 知识库学习工具 ===") print(f"1. [数据预处理] -> 读取 .txt 文件 (来源: ./{raw_data_relpath}/)") - print( - f"2. [信息提取] -> 提取信息并存为 .json (输出至: ./{openie_output_relpath}/)" - ) + print(f"2. [信息提取] -> 提取信息并存为 .json (输出至: ./{openie_output_relpath}/)") print("3. [数据导入] -> 从 openie 文件夹自动导入最新知识") print("4. [全流程] -> 按顺序执行 1 -> 2 -> 3") print("5. [指定导入] -> 从特定的 openie.json 文件导入知识") @@ -362,20 +357,16 @@ async def async_main(): elif choice == "2": paragraphs = preprocess_raw_data() if paragraphs: - await extract_information( - paragraphs, model_config.model_task_config.lpmm_qa - ) + extract_information(paragraphs, model_config.model_task_config.lpmm_qa) elif choice == "3": - await import_data() + asyncio.run(import_data()) elif choice == "4": paragraphs = preprocess_raw_data() if paragraphs: - await extract_information( - paragraphs, model_config.model_task_config.lpmm_qa - ) - await import_data() + extract_information(paragraphs, model_config.model_task_config.lpmm_qa) + asyncio.run(import_data()) elif choice == "5": - await import_from_specific_file() + import_from_specific_file() elif choice == "6": clear_cache() elif choice == "0": @@ -385,4 +376,4 @@ async def async_main(): if __name__ == "__main__": - asyncio.run(async_main()) + main() diff --git a/src/chat/knowledge/embedding_store.py b/src/chat/knowledge/embedding_store.py index 8eab15834..2c1056bb1 100644 --- a/src/chat/knowledge/embedding_store.py +++ b/src/chat/knowledge/embedding_store.py @@ -124,60 +124,124 @@ class EmbeddingStore: self.faiss_index = None self.idx2hash = None + @staticmethod + def _get_embedding(s: str) -> list[float]: + """获取字符串的嵌入向量，使用完全同步的方式避免事件循环问题""" + # 创建新的事件循环并在完成后立即关闭 + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + + try: + # 创建新的LLMRequest实例 + from src.config.config import model_config + from src.llm_models.utils_model import LLMRequest + + llm = LLMRequest(model_set=model_config.model_task_config.embedding, request_type="embedding") + + # 使用新的事件循环运行异步方法 + embedding, _ = loop.run_until_complete(llm.get_embedding(s)) + + if embedding and len(embedding) > 0: + return embedding + else: + logger.error(f"获取嵌入失败: {s}") + return [] + + except Exception as e: + logger.error(f"获取嵌入时发生异常: {s}, 错误: {e}") + return [] + finally: + # 确保事件循环被正确关闭 + try: + loop.close() + except Exception: + ... + @staticmethod def _get_embeddings_batch_threaded( - strs: list[str], - main_loop: asyncio.AbstractEventLoop, - chunk_size: int = 10, - max_workers: int = 10, - progress_callback=None, + strs: list[str], chunk_size: int = 10, max_workers: int = 10, progress_callback=None ) -> list[tuple[str, list[float]]]: - """使用多线程批量获取嵌入向量, 并通过 run_coroutine_threadsafe 在主事件循环中运行异步任务""" + """使用多线程批量获取嵌入向量 + + Args: + strs: 要获取嵌入的字符串列表 + chunk_size: 每个线程处理的数据块大小 + max_workers: 最大线程数 + progress_callback: 进度回调函数，接收一个参数表示完成的数量 + + Returns: + 包含(原始字符串, 嵌入向量)的元组列表，保持与输入顺序一致 + """ if not strs: return [] - # 导入必要的模块 - from src.config.config import model_config - from src.llm_models.utils_model import LLMRequest - - # 在主线程（即主事件循环所在的线程）中创建LLMRequest实例 - # 这样可以确保它绑定到正确的事件循环 - llm = LLMRequest(model_set=model_config.model_task_config.embedding, request_type="embedding") - # 分块 - chunks = [(i, strs[i : i + chunk_size]) for i in range(0, len(strs), chunk_size)] + chunks = [] + for i in range(0, len(strs), chunk_size): + chunk = strs[i : i + chunk_size] + chunks.append((i, chunk)) # 保存起始索引以维持顺序 + + # 结果存储，使用字典按索引存储以保证顺序 results = {} def process_chunk(chunk_data): - """在工作线程中运行的函数""" + """处理单个数据块的函数""" start_idx, chunk_strs = chunk_data chunk_results = [] - for i, s in enumerate(chunk_strs): - embedding = [] - try: - # 将异步的 get_embedding 调用提交到主事件循环 - future = asyncio.run_coroutine_threadsafe(llm.get_embedding(s), main_loop) - # 同步等待结果，延长超时时间 - embedding_result, _ = future.result(timeout=60) + # 为每个线程创建独立的LLMRequest实例 + from src.config.config import model_config + from src.llm_models.utils_model import LLMRequest - if embedding_result and len(embedding_result) > 0: - embedding = embedding_result - else: - logger.error(f"获取嵌入失败（返回为空）: {s}") + try: + # 创建线程专用的LLM实例 + llm = LLMRequest(model_set=model_config.model_task_config.embedding, request_type="embedding") - except Exception as e: - logger.error(f"在线程中获取嵌入时发生异常: {s}, 错误: {type(e).__name__}: {e}") - finally: - chunk_results.append((start_idx + i, s, embedding)) + for i, s in enumerate(chunk_strs): + try: + # 在线程中创建独立的事件循环 + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + try: + embedding = loop.run_until_complete(llm.get_embedding(s)) + finally: + loop.close() + + if embedding and len(embedding) > 0: + chunk_results.append((start_idx + i, s, embedding[0])) # embedding[0] 是实际的向量 + else: + logger.error(f"获取嵌入失败: {s}") + chunk_results.append((start_idx + i, s, [])) + + # 每完成一个嵌入立即更新进度 + if progress_callback: + progress_callback(1) + + except Exception as e: + logger.error(f"获取嵌入时发生异常: {s}, 错误: {e}") + chunk_results.append((start_idx + i, s, [])) + + # 即使失败也要更新进度 + if progress_callback: + progress_callback(1) + + except Exception as e: + logger.error(f"创建LLM实例失败: {e}") + # 如果创建LLM实例失败，返回空结果 + for i, s in enumerate(chunk_strs): + chunk_results.append((start_idx + i, s, [])) + # 即使失败也要更新进度 if progress_callback: progress_callback(1) return chunk_results + # 使用线程池处理 with ThreadPoolExecutor(max_workers=max_workers) as executor: + # 提交所有任务 future_to_chunk = {executor.submit(process_chunk, chunk): chunk for chunk in chunks} + # 收集结果（进度已在process_chunk中实时更新） for future in as_completed(future_to_chunk): try: chunk_results = future.result() @@ -185,14 +249,22 @@ class EmbeddingStore: results[idx] = (s, embedding) except Exception as e: chunk = future_to_chunk[future] - logger.error(f"处理数据块时发生严重异常: {chunk}, 错误: {e}") + logger.error(f"处理数据块时发生异常: {chunk}, 错误: {e}") + # 为失败的块添加空结果 start_idx, chunk_strs = chunk - for i, s_item in enumerate(chunk_strs): - if (start_idx + i) not in results: - results[start_idx + i] = (s_item, []) + for i, s in enumerate(chunk_strs): + results[start_idx + i] = (s, []) # 按原始顺序返回结果 - return [results.get(i, (strs[i], [])) for i in range(len(strs))] + ordered_results = [] + for i in range(len(strs)): + if i in results: + ordered_results.append(results[i]) + else: + # 防止遗漏 + ordered_results.append((strs[i], [])) + + return ordered_results @staticmethod def get_test_file_path(): @@ -202,17 +274,9 @@ class EmbeddingStore: """保存测试字符串的嵌入到本地（使用多线程优化）""" logger.info("开始保存测试字符串的嵌入向量...") - # 获取当前正在运行的事件循环 - try: - main_loop = asyncio.get_running_loop() - except RuntimeError: - logger.error("无法获取正在运行的事件循环。请确保在异步上下文中调用此方法。") - return - # 使用多线程批量获取测试字符串的嵌入 embedding_results = self._get_embeddings_batch_threaded( EMBEDDING_TEST_STRINGS, - main_loop, chunk_size=min(self.chunk_size, len(EMBEDDING_TEST_STRINGS)), max_workers=min(self.max_workers, len(EMBEDDING_TEST_STRINGS)), ) @@ -224,6 +288,8 @@ class EmbeddingStore: test_vectors[str(idx)] = embedding else: logger.error(f"获取测试字符串嵌入失败: {s}") + # 使用原始单线程方法作为后备 + test_vectors[str(idx)] = self._get_embedding(s) with open(self.get_test_file_path(), "w", encoding="utf-8") as f: f.write(orjson.dumps(test_vectors, option=orjson.OPT_INDENT_2).decode("utf-8")) @@ -255,17 +321,9 @@ class EmbeddingStore: logger.info("开始检验嵌入模型一致性...") - # 获取当前正在运行的事件循环 - try: - main_loop = asyncio.get_running_loop() - except RuntimeError: - logger.error("无法获取正在运行的事件循环。请确保在异步上下文中调用此方法。") - return False - # 使用多线程批量获取当前模型的嵌入 embedding_results = self._get_embeddings_batch_threaded( EMBEDDING_TEST_STRINGS, - main_loop, chunk_size=min(self.chunk_size, len(EMBEDDING_TEST_STRINGS)), max_workers=min(self.max_workers, len(EMBEDDING_TEST_STRINGS)), ) @@ -325,20 +383,11 @@ class EmbeddingStore: progress.update(task, advance=already_processed) if new_strs: - try: - main_loop = asyncio.get_running_loop() - except RuntimeError: - logger.error("无法获取正在运行的事件循环。请确保在异步上下文中调用此方法。") - # 更新进度条以反映未处理的项目 - progress.update(task, advance=len(new_strs)) - return - # 使用实例配置的参数，智能调整分块和线程数 optimal_chunk_size = max( MIN_CHUNK_SIZE, min( - self.chunk_size, - len(new_strs) // self.max_workers if self.max_workers > 0 else self.chunk_size, + self.chunk_size, len(new_strs) // self.max_workers if self.max_workers > 0 else self.chunk_size ), ) optimal_max_workers = min( @@ -355,13 +404,12 @@ class EmbeddingStore: # 批量获取嵌入，并实时更新进度 embedding_results = self._get_embeddings_batch_threaded( new_strs, - main_loop, chunk_size=optimal_chunk_size, max_workers=optimal_max_workers, progress_callback=update_progress, ) - # 存入结果 + # 存入结果（不再需要在这里更新进度，因为已经在回调中更新了） for s, embedding in embedding_results: item_hash = self.namespace + "-" + get_sha256(s) if embedding: # 只有成功获取到嵌入才存入 From c9c2de40ee29fa82cfd93afb85fe639ac0e02da4 Mon Sep 17 00:00:00 2001 From: minecraft1024a Date: Sat, 18 Oct 2025 19:22:34 +0800 Subject: [PATCH 10/24] =?UTF-8?q?chore(scripts):=20=E7=A7=BB=E9=99=A4?= =?UTF-8?q?=E8=BF=87=E6=97=B6=E7=9A=84=E4=B8=80=E6=AC=A1=E6=80=A7=E8=84=9A?= =?UTF-8?q?=E6=9C=AC?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 移除了两个用于项目重构的一次性脚本： - `convert_sqlalchemy_models.py`：用于将 SQLAlchemy 模型从旧版 `Column` 语法转换为 `Mapped` 语法。 - `update_prompt_imports.py`：用于批量更新 `Prompt` 类的导入路径。 这些脚本已完成其历史使命，不再需要维护。 同时，对插件加载日志和 manifest 转换脚本进行了小幅改进： - 插件加载日志现在会显示组件的简短描述，方便快速了解其功能。 - manifest 转换脚本增加了对更多元数据字段（如仓库地址、关键字、分类等）的支持。 --- scripts/convert_manifest.py | 15 +- scripts/convert_sqlalchemy_models.py | 218 ----------------------- scripts/update_prompt_imports.py | 62 ------- src/plugin_system/core/plugin_manager.py | 31 ++-- 4 files changed, 31 insertions(+), 295 deletions(-) delete mode 100644 scripts/convert_sqlalchemy_models.py delete mode 100644 scripts/update_prompt_imports.py diff --git a/scripts/convert_manifest.py b/scripts/convert_manifest.py index f92c84754..640f6118e 100644 --- a/scripts/convert_manifest.py +++ b/scripts/convert_manifest.py @@ -34,9 +34,14 @@ def convert_and_copy_plugin(plugin_dir: Path, output_dir: Path): plugin_name = manifest.get("name", "Unknown Plugin") description = manifest.get("description", "No description provided.") - version = manifest.get("version", "0.0.0") + version = manifest.get("version", "1.0.0") author = manifest.get("author", {}).get("name", "Unknown Author") - license_type = manifest.get("license", "N/A") + license_type = manifest.get("license") + repository_url = manifest.get("repository_url") + keywords = manifest.get("keywords", []) + categories = manifest.get("categories", []) + plugin_type = manifest.get("plugin_info", {}).get("plugin_type") + meta_template = f"""from src.plugin_system.base.plugin_metadata import PluginMetadata @@ -44,9 +49,13 @@ __plugin_meta__ = PluginMetadata( name="{plugin_name}", description="{description}", usage="暂无说明", + type={repr(plugin_type)}, version="{version}", author="{author}", - license="{license_type}", + license={repr(license_type)}, + repository_url={repr(repository_url)}, + keywords={keywords}, + categories={categories}, ) """ # 3. 在复制后的目录中创建或覆盖 __init__.py diff --git a/scripts/convert_sqlalchemy_models.py b/scripts/convert_sqlalchemy_models.py deleted file mode 100644 index faa56309a..000000000 --- a/scripts/convert_sqlalchemy_models.py +++ /dev/null @@ -1,218 +0,0 @@ -"""批量将经典 SQLAlchemy 模型字段写法 - - field = Column(Integer, nullable=False, default=0) - -转换为 2.0 推荐的带类型注解写法： - - field: Mapped[int] = mapped_column(Integer, nullable=False, default=0) - -脚本特点: -1. 仅处理指定文件(默认: src/common/database/sqlalchemy_models.py)。 -2. 自动识别多行 Column(...) 定义 (括号未闭合会继续合并)。 -3. 已经是 Mapped 写法的行会跳过。 -4. 根据类型名 (Integer / Float / Boolean / Text / String / DateTime / get_string_field) 推断 Python 类型。 -5. nullable=True 时自动添加 "| None"。 -6. 保留 Column(...) 内的原始参数顺序与内容。 -7. 生成 .bak 备份文件，确保可回滚。 -8. 支持 --dry-run 查看差异，不写回文件。 - -局限/注意: -- 简单基于正则/括号计数，不解析完整 AST；非常规写法(例如变量中构造 Column 再赋值)不会处理。 -- 复杂工厂/自定义类型未在映射表中的，统一映射为 Any。 -- 不自动添加 from __future__ import annotations；如需 Python 3.10 以下更先进类型表达式，请自行处理。 - -使用方式: (在项目根目录执行) - - python scripts/convert_sqlalchemy_models.py \ - --file src/common/database/sqlalchemy_models.py --dry-run - -确认无误后去掉 --dry-run 真实写入。 -""" - -from __future__ import annotations - -import argparse -import re -import shutil -from pathlib import Path - -TYPE_MAP = { - "Integer": "int", - "Float": "float", - "Boolean": "bool", - "Text": "str", - "String": "str", - "DateTime": "datetime.datetime", - # 自定义帮助函数 get_string_field(...) 也返回字符串类型 - "get_string_field": "str", -} - - -COLUMN_ASSIGN_RE = re.compile(r"^(?P\s+)(?P[A-Za-z_][A-Za-z0-9_]*)\s*=\s*Column\(") -ALREADY_MAPPED_RE = re.compile(r"^[ \t]*[A-Za-z_][A-Za-z0-9_]*\s*:\s*Mapped\[") - - -def detect_column_block(lines: list[str], start_index: int) -> tuple[int, int] | None: - """检测从 start_index 开始的 Column(...) 语句跨越的行范围 (包含结束行)。 - - 使用括号计数法处理多行。 - 返回 (start, end) 行号 (包含 end)。""" - line = lines[start_index] - if "Column(" not in line: - return None - open_parens = line.count("(") - line.count(")") - i = start_index - while open_parens > 0 and i + 1 < len(lines): - i += 1 - l2 = lines[i] - open_parens += l2.count("(") - l2.count(")") - return (start_index, i) - - -def extract_column_body(block_lines: list[str]) -> str: - """提取 Column(...) 内部参数文本 (去掉首尾 Column( 和 最后一个 ) )。""" - joined = "\n".join(block_lines) - # 找到第一次出现 Column( - start_pos = joined.find("Column(") - if start_pos == -1: - return "" - inner = joined[start_pos + len("Column(") :] - # 去掉最后一个 ) —— 简单方式: 找到最后一个 ) 并截断 - last_paren = inner.rfind(")") - if last_paren != -1: - inner = inner[:last_paren] - return inner.strip() - - -def guess_python_type(column_body: str) -> str: - # 简单取第一个类型标识符 (去掉前导装饰/空格) - # 可能形式: Integer, Text, get_string_field(50), DateTime, Boolean - # 利用正则抓取第一个标识符 - m = re.search(r"([A-Za-z_][A-Za-z0-9_]*)", column_body) - if not m: - return "Any" - type_token = m.group(1) - py_type = TYPE_MAP.get(type_token, "Any") - # nullable 检测 - if "nullable=True" in column_body or "nullable = True" in column_body: - # 避免重复 Optional - if py_type != "Any" and not py_type.endswith(" | None"): - py_type = f"{py_type} | None" - elif py_type == "Any": - py_type = "Any | None" - return py_type - - -def convert_block(block_lines: list[str]) -> list[str]: - first_line = block_lines[0] - m_name = re.match(r"^(?P\s+)(?P[A-Za-z_][A-Za-z0-9_]*)\s*=", first_line) - if not m_name: - return block_lines - indent = m_name.group("indent") - name = m_name.group("name") - body = extract_column_body(block_lines) - py_type = guess_python_type(body) - # 构造新的多行 mapped_column 写法 - # 保留内部参数的换行缩进: 重新缩进为 indent + 4 空格 (延续原风格: 在 indent 基础上再加 4 空格) - inner_lines = body.split("\n") - if len(inner_lines) == 1: - new_line = f"{indent}{name}: Mapped[{py_type}] = mapped_column({inner_lines[0].strip()})\n" - return [new_line] - else: - # 多行情况 - ind2 = indent + " " - rebuilt = [f"{indent}{name}: Mapped[{py_type}] = mapped_column(",] - for il in inner_lines: - if il.strip(): - rebuilt.append(f"{ind2}{il.rstrip()}") - rebuilt.append(f"{indent})\n") - return [l + ("\n" if not l.endswith("\n") else "") for l in rebuilt] - - -def ensure_imports(content: str) -> str: - if "Mapped," in content or "Mapped[" in content: - # 已经可能存在导入 - if "from sqlalchemy.orm import Mapped, mapped_column" not in content: - # 简单插到第一个 import sqlalchemy 之后 - lines = content.splitlines() - for i, line in enumerate(lines): - if "sqlalchemy" in line and line.startswith("from sqlalchemy"): - lines.insert(i + 1, "from sqlalchemy.orm import Mapped, mapped_column") - return "\n".join(lines) - return content - - -def process_file(path: Path) -> tuple[str, str]: - original = path.read_text(encoding="utf-8") - lines = original.splitlines(keepends=True) - i = 0 - out: list[str] = [] - changed = 0 - while i < len(lines): - line = lines[i] - # 跳过已是 Mapped 风格 - if ALREADY_MAPPED_RE.match(line): - out.append(line) - i += 1 - continue - if "= Column(" in line and re.match(r"^\s+[A-Za-z_][A-Za-z0-9_]*\s*=", line): - start, end = detect_column_block(lines, i) or (i, i) - block = lines[start : end + 1] - converted = convert_block(block) - out.extend(converted) - i = end + 1 - # 如果转换结果与原始不同，计数 - if "".join(converted) != "".join(block): - changed += 1 - else: - out.append(line) - i += 1 - new_content = "".join(out) - new_content = ensure_imports(new_content) - # 在文件末尾或头部预留统计信息打印(不写入文件，只返回) - return original, new_content if changed else original - - -def main(): - parser = argparse.ArgumentParser(description="批量转换 SQLAlchemy 模型字段为 2.0 Mapped 写法") - parser.add_argument("--file", default="src/common/database/sqlalchemy_models.py", help="目标模型文件") - parser.add_argument("--dry-run", action="store_true", help="仅显示差异，不写回") - parser.add_argument("--write", action="store_true", help="执行写回 (与 --dry-run 互斥)") - args = parser.parse_args() - - target = Path(args.file) - if not target.exists(): - raise SystemExit(f"文件不存在: {target}") - - original, new_content = process_file(target) - - if original == new_content: - print("[INFO] 没有需要转换的内容或转换后无差异。") - return - - # 简单差异输出 (行对比) - if args.dry_run or not args.write: - print("[DRY-RUN] 以下为转换后预览 (仅显示不同段落):") - import difflib - - diff = difflib.unified_diff( - original.splitlines(), new_content.splitlines(), fromfile="original", tofile="converted", lineterm="" - ) - count = 0 - for d in diff: - print(d) - count += 1 - if count == 0: - print("[INFO] 差异为空 (可能未匹配到 Column 定义)。") - if not args.write: - print("\n未写回。若确认无误，添加 --write 执行替换。") - return - - backup = target.with_suffix(target.suffix + ".bak") - shutil.copyfile(target, backup) - target.write_text(new_content, encoding="utf-8") - print(f"[DONE] 已写回: {target}，备份文件: {backup.name}") - - -if __name__ == "__main__": # pragma: no cover - main() diff --git a/scripts/update_prompt_imports.py b/scripts/update_prompt_imports.py deleted file mode 100644 index 3917c9408..000000000 --- a/scripts/update_prompt_imports.py +++ /dev/null @@ -1,62 +0,0 @@ -""" -更新Prompt类导入脚本 -将旧的prompt_builder.Prompt导入更新为unified_prompt.Prompt -""" - -import os - -# 需要更新的文件列表 -files_to_update = [ - "src/person_info/relationship_fetcher.py", - "src/mood/mood_manager.py", - "src/mais4u/mais4u_chat/body_emotion_action_manager.py", - "src/chat/express/expression_learner.py", - "src/chat/planner_actions/planner.py", - "src/mais4u/mais4u_chat/s4u_prompt.py", - "src/chat/message_receive/bot.py", - "src/chat/replyer/default_generator.py", - "src/chat/express/expression_selector.py", - "src/mais4u/mai_think.py", - "src/mais4u/mais4u_chat/s4u_mood_manager.py", - "src/plugin_system/core/tool_use.py", - "src/chat/memory_system/memory_activator.py", - "src/chat/utils/smart_prompt.py", -] - - -def update_prompt_imports(file_path): - """更新文件中的Prompt导入""" - if not os.path.exists(file_path): - print(f"文件不存在: {file_path}") - return False - - with open(file_path, encoding="utf-8") as f: - content = f.read() - - # 替换导入语句 - old_import = "from src.chat.utils.prompt_builder import Prompt, global_prompt_manager" - new_import = "from src.chat.utils.prompt import Prompt, global_prompt_manager" - - if old_import in content: - new_content = content.replace(old_import, new_import) - with open(file_path, "w", encoding="utf-8") as f: - f.write(new_content) - print(f"已更新: {file_path}") - return True - else: - print(f"无需更新: {file_path}") - return False - - -def main(): - """主函数""" - updated_count = 0 - for file_path in files_to_update: - if update_prompt_imports(file_path): - updated_count += 1 - - print(f"\n更新完成！共更新了 {updated_count} 个文件") - - -if __name__ == "__main__": - main() diff --git a/src/plugin_system/core/plugin_manager.py b/src/plugin_system/core/plugin_manager.py index dc5495bee..6cd89e5f4 100644 --- a/src/plugin_system/core/plugin_manager.py +++ b/src/plugin_system/core/plugin_manager.py @@ -382,6 +382,13 @@ class PluginManager: # 组件列表 if plugin_info.components: + + def format_component(c): + desc = c.description + if len(desc) > 15: + desc = desc[:15] + "..." + return f"{c.name} ({desc})" if desc else c.name + action_components = [ c for c in plugin_info.components if c.component_type == ComponentType.ACTION ] @@ -397,27 +404,27 @@ class PluginManager: ] if action_components: - action_names = [c.name for c in action_components] - logger.info(f" 🎯 Action组件: {', '.join(action_names)}") + action_details = [format_component(c) for c in action_components] + logger.info(f" 🎯 Action组件: {', '.join(action_details)}") if command_components: - command_names = [c.name for c in command_components] - logger.info(f" ⚡ Command组件: {', '.join(command_names)}") + command_details = [format_component(c) for c in command_components] + logger.info(f" ⚡ Command组件: {', '.join(command_details)}") if tool_components: - tool_names = [c.name for c in tool_components] - logger.info(f" 🛠️ Tool组件: {', '.join(tool_names)}") + tool_details = [format_component(c) for c in tool_components] + logger.info(f" 🛠️ Tool组件: {', '.join(tool_details)}") if plus_command_components: - plus_command_names = [c.name for c in plus_command_components] - logger.info(f" ⚡ PlusCommand组件: {', '.join(plus_command_names)}") + plus_command_details = [format_component(c) for c in plus_command_components] + logger.info(f" ⚡ PlusCommand组件: {', '.join(plus_command_details)}") chatter_components = [ c for c in plugin_info.components if c.component_type == ComponentType.CHATTER ] if chatter_components: - chatter_names = [c.name for c in chatter_components] - logger.info(f" 🗣️ Chatter组件: {', '.join(chatter_names)}") + chatter_details = [format_component(c) for c in chatter_components] + logger.info(f" 🗣️ Chatter组件: {', '.join(chatter_details)}") if event_handler_components: - event_handler_names = [c.name for c in event_handler_components] - logger.info(f" 📢 EventHandler组件: {', '.join(event_handler_names)}") + event_handler_details = [format_component(c) for c in event_handler_components] + logger.info(f" 📢 EventHandler组件: {', '.join(event_handler_details)}") # 权限节点信息 if plugin_instance := self.loaded_plugins.get(plugin_name): From 92d5b096c8cec9834e59ee9a3e415ea15b4e78ad Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=98=8E=E5=A4=A9=E5=A5=BD=E5=83=8F=E6=B2=A1=E4=BB=80?= =?UTF-8?q?=E4=B9=88?= Date: Sat, 18 Oct 2025 20:11:17 +0800 Subject: [PATCH 11/24] =?UTF-8?q?chore(deps):=20=E7=B2=BE=E7=AE=80?= =?UTF-8?q?=E4=BE=9D=E8=B5=96=E5=B9=B6=E5=8D=87=E7=BA=A7Python=E5=9F=BA?= =?UTF-8?q?=E7=BA=BF=E8=87=B33.11?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 移除3.10兼容层，清理旧版本wheel与回退包 - 统一numpy、scipy、networkx为单版本，削减重复解析 - 新增mcp>=0.9.0与sse-starlette>=2.2.1，解锁新能力 - inkfox升至0.1.1，新增arm64/aarch64原生支持 - 通过更严格的平台标记，锁文件体积减少八成 --- pyproject.toml | 24 +- uv.lock | 2006 +++++++++++++----------------------------------- 2 files changed, 548 insertions(+), 1482 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 048ad52c9..632b966a3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -2,17 +2,16 @@ name = "MoFox-Bot" version = "0.8.1" description = "MoFox-Bot 是一个基于大语言模型的可交互智能体" -requires-python = ">=3.11" +requires-python = ">=3.11,<=3.13" dependencies = [ "aiohttp>=3.12.14", "aiohttp-cors>=0.8.1", "apscheduler>=3.11.0", - "asyncddgs>=0.1.0a1", "asyncio>=4.0.0", "beautifulsoup4>=4.13.4", - "chromadb>=0.5.0", + "chromadb>=1.2.0", "colorama>=0.4.6", - "cryptography>=45.0.5", + "cryptography>=46.0.3", "customtkinter>=5.2.2", "dotenv>=0.9.9", "exa-py>=1.14.20", @@ -21,11 +20,10 @@ dependencies = [ "google>=3.0.0", "google-genai>=1.29.0", "httpx>=0.28.1", - "jieba>=0.1.13", "json-repair>=0.47.6", "json5>=0.12.1", "jsonlines>=4.0.0", - "langfuse==2.46.2", + "langfuse==3.7.0", "lunar-python>=1.4.4", "lxml>=6.0.0", "maim-message>=0.3.8", @@ -33,16 +31,16 @@ dependencies = [ "networkx>=3.4.2", "orjson>=3.10", "numpy>=2.2.6", - "openai>=1.95.0", + "openai>=2.5.0", "opencv-python>=4.11.0.86", - "packaging>=23.2", + "packaging>=25.0", "pandas>=2.3.1", "peewee>=3.18.2", - "pillow>=11.3.0", + "pillow>=12.0.0", "pip-check-reqs>=2.5.5", "psutil>=7.0.0", - "pyarrow>=20.0.0", - "pydantic>=2.11.7", + "pyarrow>=21.0.0", + "pydantic>=2.12.3", "pygments>=2.19.2", "pymongo>=4.13.2", "pymysql>=1.1.1", @@ -76,8 +74,8 @@ dependencies = [ "aiosqlite>=0.21.0", "inkfox>=0.1.1", "rjieba>=0.1.13", - "mcp>=0.9.0", - "sse-starlette>=2.2.1", + "mcp>=1.18.0", + "sse-starlette>=3.0.2", ] [[tool.uv.index]] diff 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"https://pypi.tuna.tsinghua.edu.cn/packages/e3/e3/409bd17b1e42619bf69f60e4f031ce1ccb29bd7380117a55529e76933464/yarl-1.20.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7a8900a42fcdaad568de58887c7b2f602962356908eedb7628eaf6021a6e435b", size = 89818, upload-time = "2025-06-10T00:43:11.575Z" }, From 5f85b5d52c729f5a2ddea14f4cce69ffdd4e29d8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=98=8E=E5=A4=A9=E5=A5=BD=E5=83=8F=E6=B2=A1=E4=BB=80?= =?UTF-8?q?=E4=B9=88?= Date: Sat, 18 Oct 2025 20:13:01 +0800 Subject: [PATCH 12/24] =?UTF-8?q?refactor(docker):=20=E9=87=8D=E6=9E=84?= =?UTF-8?q?=E5=AE=B9=E5=99=A8=E5=8C=96=E9=85=8D=E7=BD=AE=EF=BC=8C=E7=A7=BB?= =?UTF-8?q?=E9=99=A4=E5=86=97=E4=BD=99=E6=9C=8D=E5=8A=A1=E5=B9=B6=E8=BF=81?= =?UTF-8?q?=E7=A7=BB=E8=87=B3=20uv=20=E5=8C=85=E7=AE=A1=E7=90=86?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 精简 Dockerfile：删除 lpmm 编译步骤，改用 pyproject.toml 与 uv sync - 移除 docker-compose 中的 adapters、sqlite-web 服务，仅保留 core 与 napcat - 统一工作目录与卷挂载路径，由 /MaiMBot 更名为 /InkFox - 网络名称由 maim_bot 改为 mofox - 入口命令切换为 uv run，提升启动速度与依赖隔离 --- Dockerfile | 20 +++------------ docker-compose.yml | 63 ++++++++++------------------------------------ 2 files changed, 17 insertions(+), 66 deletions(-) diff --git a/Dockerfile b/Dockerfile index 172f4cad3..5e9fef0e7 100644 --- a/Dockerfile +++ b/Dockerfile @@ -2,31 +2,19 @@ FROM python:3.13.5-slim-bookworm COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ # 工作目录 -WORKDIR /mmc +WORKDIR /app # 复制依赖列表 -COPY requirements.txt . -# 同级目录下需要有 maim_message MaiMBot-LPMM -#COPY maim_message /maim_message -COPY MaiMBot-LPMM /MaiMBot-LPMM +COPY pyproject.toml . # 编译器 RUN apt-get update && apt-get install -y build-essential -# lpmm编译安装 -RUN cd /MaiMBot-LPMM && uv pip install --system -r requirements.txt -RUN uv pip install --system Cython py-cpuinfo setuptools -RUN cd /MaiMBot-LPMM/lib/quick_algo && python build_lib.py --cleanup --cythonize --install - # 安装依赖 -RUN uv pip install --system --upgrade pip -#RUN uv pip install --system -e /maim_message -RUN uv pip install --system -r requirements.txt - -# 复制项目代码 +RUN uv sync COPY . . EXPOSE 8000 -ENTRYPOINT [ "python","bot.py" ] \ No newline at end of file +ENTRYPOINT [ "uv","run","bot.py" ] \ No newline at end of file diff --git a/docker-compose.yml b/docker-compose.yml index e4519d30f..89d039a97 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -1,47 +1,23 @@ services: - adapters: - container_name: maim-bot-adapters - #### prod #### - image: unclas/maimbot-adapter:latest - # image: infinitycat/maimbot-adapter:latest - #### dev #### - # image: unclas/maimbot-adapter:dev - # image: infinitycat/maimbot-adapter:dev - environment: - - TZ=Asia/Shanghai -# ports: -# - "8095:8095" - volumes: - - ./docker-config/adapters/config.toml:/adapters/config.toml # 持久化adapters配置文件 - - ./data/adapters:/adapters/data # adapters 数据持久化 - restart: always - networks: - - maim_bot core: - container_name: maim-bot-core + container_name: InkFox-Bot #### prod #### image: sengokucola/maibot:latest # image: infinitycat/maibot:latest #### dev #### # image: sengokucola/maibot:dev - # image: infinitycat/maibot:dev environment: - TZ=Asia/Shanghai -# - EULA_AGREE=99f08e0cab0190de853cb6af7d64d4de # 同意EULA -# - PRIVACY_AGREE=9943b855e72199d0f5016ea39052f1b6 # 同意EULA -# ports: -# - "8000:8000" volumes: - - ./docker-config/mmc/.env:/MaiMBot/.env # 持久化env配置文件 - - ./docker-config/mmc:/MaiMBot/config # 持久化bot配置文件 - - ./data/MaiMBot/maibot_statistics.html:/MaiMBot/maibot_statistics.html #统计数据输出 - - ./data/MaiMBot:/MaiMBot/data # 共享目录 - - ./data/MaiMBot/plugins:/MaiMBot/plugins # 插件目录 - - ./data/MaiMBot/logs:/MaiMBot/logs # 日志目录 - - site-packages:/usr/local/lib/python3.13/site-packages # 持久化Python包 + - ./docker-config/mmc/.env:/InkFox/.env # 持久化env配置文件 + - ./docker-config/mmc:/InkFox/config # 持久化bot配置文件 + - ./data/InkFox/maibot_statistics.html:/InkFox/maibot_statistics.html #统计数据输出 + - ./data/InkFox:/InkFox/data # 共享目录 + - ./data/InkFox/plugins:/InkFox/plugins # 插件目录 + - ./data/InkFox/logs:/InkFox/logs # 日志目录 restart: always networks: - - maim_bot + - mofox napcat: environment: - NAPCAT_UID=1000 @@ -52,25 +28,12 @@ services: volumes: - ./docker-config/napcat:/app/napcat/config # 持久化napcat配置文件 - ./data/qq:/app/.config/QQ # 持久化QQ本体 - - ./data/MaiMBot:/MaiMBot/data # 共享目录 + - ./data/InkFox:/InkFox/data # 共享目录 container_name: maim-bot-napcat restart: always image: mlikiowa/napcat-docker:latest networks: - - maim_bot - sqlite-web: - # 注意：coleifer/sqlite-web 镜像不支持arm64 - image: coleifer/sqlite-web - container_name: sqlite-web - restart: always - ports: - - "8120:8080" - volumes: - - ./data/MaiMBot:/data/MaiMBot - environment: - - SQLITE_DATABASE=MaiMBot/MaiBot.db # 你的数据库文件 - networks: - - maim_bot + - mofox # chat2db占用相对较高但是功能强大 # 内存占用约600m，内存充足推荐选此 @@ -81,11 +44,11 @@ services: # ports: # - "10824:10824" # volumes: - # - ./data/MaiMBot:/data/MaiMBot + # - ./data/InkFox:/data/InkFox # networks: - # - maim_bot + # - mofox volumes: site-packages: networks: - maim_bot: + mofox: driver: bridge From d65f6dcefe8cb0a9df0e637f00b9fb640fda9b68 Mon Sep 17 00:00:00 2001 From: tt-P607 <68868379+tt-P607@users.noreply.github.com> Date: Sat, 18 Oct 2025 20:21:54 +0800 Subject: [PATCH 13/24] =?UTF-8?q?chore(scripts):=20=E4=B8=BA=E5=AD=A6?= =?UTF-8?q?=E4=B9=A0=E5=B7=A5=E5=85=B7=E8=84=9A=E6=9C=AC=E5=BC=95=E5=85=A5?= =?UTF-8?q?=E5=B9=B6=E5=8F=91=E4=BE=9D=E8=B5=96?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- scripts/lpmm_learning_tool.py | 1 + 1 file changed, 1 insertion(+) diff --git a/scripts/lpmm_learning_tool.py b/scripts/lpmm_learning_tool.py index 884b4e9e3..19b2baf7c 100644 --- a/scripts/lpmm_learning_tool.py +++ b/scripts/lpmm_learning_tool.py @@ -5,6 +5,7 @@ import shutil import sys from pathlib import Path from threading import Lock +from concurrent.futures import ThreadPoolExecutor, as_completed import orjson from json_repair import repair_json From 5c9d7db7fa91492882db4a5ec78b624dd8bd7e17 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=98=8E=E5=A4=A9=E5=A5=BD=E5=83=8F=E6=B2=A1=E4=BB=80?= =?UTF-8?q?=E4=B9=88?= Date: Sat, 18 Oct 2025 20:58:47 +0800 Subject: [PATCH 14/24] =?UTF-8?q?ci(docker):=20=E9=87=8D=E6=9E=84CI/CD?= =?UTF-8?q?=E6=B5=81=E7=A8=8B=EF=BC=8C=E6=94=AF=E6=8C=81=E5=A4=9A=E6=9E=B6?= =?UTF-8?q?=E6=9E=84=E6=9E=84=E5=BB=BA=E4=B8=8E=E8=87=AA=E5=8A=A8=E6=8E=A8?= =?UTF-8?q?=E9=80=81?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 启用push触发，支持master/dev分支及版本标签 - 新增ARM64独立构建任务，使用ubuntu-24.04-arm运行器 - 引入docker/metadata-action自动生成标签，支持分支、标签、semver及sha - 采用push-by-digest方式分别构建AMD64/ARM64镜像，最后合并多架构manifest - 移除maim_message与MaiMBot-LPMM子模块克隆步骤，镜像名由maibot改为mofox - docker-compose同步更新镜像名、容器名及挂载路径，保持与CI一致 --- .github/workflows/docker-image.yml | 156 +++++++++++++++++++++-------- docker-compose.yml | 25 +++-- 2 files changed, 124 insertions(+), 57 deletions(-) diff --git a/.github/workflows/docker-image.yml b/.github/workflows/docker-image.yml index 6ba5af06b..034539632 100644 --- a/.github/workflows/docker-image.yml +++ b/.github/workflows/docker-image.yml @@ -1,70 +1,51 @@ -name: Docker CI +name: Docker Build and Push on: - # push: - # branches: - # - master - # - develop - # tags: - # - "v*.*.*" - # - "v*" - # - "*.*.*" - # - "*.*.*-*" + push: + branches: + - master + - dev + tags: + - "v*.*.*" + - "v*" + - "*.*.*" + - "*.*.*-*" workflow_dispatch: # 允许手动触发工作流 +# Workflow's jobs jobs: build-amd64: - name: 构建 AMD64 镜像 + name: Build AMD64 Image runs-on: ubuntu-24.04 outputs: digest: ${{ steps.build.outputs.digest }} steps: - - name: 检出 Git 仓库 + - name: Check out git repository uses: actions/checkout@v4 with: fetch-depth: 0 - - name: 克隆 maim_message - uses: actions/checkout@v4 - with: - repository: MaiM-with-u/maim_message - path: maim_message - - - name: 克隆 MaiMBot-LPMM - uses: actions/checkout@v4 - with: - repository: MaiM-with-u/MaiMBot-LPMM - path: MaiMBot-LPMM - - - name: 设置 Docker Buildx + - name: Set up Docker Buildx uses: docker/setup-buildx-action@v3 with: buildkitd-flags: --debug - - name: 登录到 Docker Hub + # Log in docker hub + - name: Log in to Docker Hub uses: docker/login-action@v3 with: username: ${{ secrets.DOCKERHUB_USERNAME }} password: ${{ secrets.DOCKERHUB_TOKEN }} - - name: Docker 元数据 + # Generate metadata for Docker images + - name: Docker meta id: meta uses: docker/metadata-action@v5 with: - images: ${{ secrets.DOCKERHUB_USERNAME }}/maibot + images: ${{ secrets.DOCKERHUB_USERNAME }}/mofox - - name: 动态生成镜像标签 - id: tag - run: | - if [ "$GITHUB_REF" == "refs/heads/master" ]; then - echo "tag=latest" >> $GITHUB_ENV - elif [ "$GITHUB_REF" == "refs/heads/develop" ]; then - echo "tag=dev" >> $GITHUB_ENV - else - echo "tag=${{ github.ref_name }}" >> $GITHUB_ENV - fi - - - name: 构建并推送 AMD64 镜像 + # Build and push AMD64 image by digest + - name: Build and push AMD64 id: build uses: docker/build-push-action@v5 with: @@ -72,10 +53,97 @@ jobs: platforms: linux/amd64 labels: ${{ steps.meta.outputs.labels }} file: ./Dockerfile - cache-from: type=registry,ref=${{ secrets.DOCKERHUB_USERNAME }}/maibot:amd64-buildcache - cache-to: type=registry,ref=${{ secrets.DOCKERHUB_USERNAME }}/maibot:amd64-buildcache,mode=max - outputs: type=image,name=${{ secrets.DOCKERHUB_USERNAME }}/maibot:${{ env.tag }},name-canonical=true,push=true + cache-from: type=registry,ref=${{ secrets.DOCKERHUB_USERNAME }}/mofox:amd64-buildcache + cache-to: type=registry,ref=${{ secrets.DOCKERHUB_USERNAME }}/mofox:amd64-buildcache,mode=max + outputs: type=image,name=${{ secrets.DOCKERHUB_USERNAME }}/mofox,push-by-digest=true,name-canonical=true,push=true build-args: | BUILD_DATE=$(date -u +'%Y-%m-%dT%H:%M:%SZ') VCS_REF=${{ github.sha }} - BRANCH_NAME=${{ github.ref_name }} + + build-arm64: + name: Build ARM64 Image + runs-on: ubuntu-24.04-arm + outputs: + digest: ${{ steps.build.outputs.digest }} + steps: + - name: Check out git repository + uses: actions/checkout@v4 + with: + fetch-depth: 0 + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + with: + buildkitd-flags: --debug + + # Log in docker hub + - name: Log in to Docker Hub + uses: docker/login-action@v3 + with: + username: ${{ secrets.DOCKERHUB_USERNAME }} + password: ${{ secrets.DOCKERHUB_TOKEN }} + + # Generate metadata for Docker images + - name: Docker meta + id: meta + uses: docker/metadata-action@v5 + with: + images: ${{ secrets.DOCKERHUB_USERNAME }}/mofox + + # Build and push ARM64 image by digest + - name: Build and push ARM64 + id: build + uses: docker/build-push-action@v5 + with: + context: . + platforms: linux/arm64/v8 + labels: ${{ steps.meta.outputs.labels }} + file: ./Dockerfile + cache-from: type=registry,ref=${{ secrets.DOCKERHUB_USERNAME }}/mofox:arm64-buildcache + cache-to: type=registry,ref=${{ secrets.DOCKERHUB_USERNAME }}/mofox:arm64-buildcache,mode=max + outputs: type=image,name=${{ secrets.DOCKERHUB_USERNAME }}/mofox,push-by-digest=true,name-canonical=true,push=true + build-args: | + BUILD_DATE=$(date -u +'%Y-%m-%dT%H:%M:%SZ') + VCS_REF=${{ github.sha }} + + create-manifest: + name: Create Multi-Arch Manifest + runs-on: ubuntu-24.04 + needs: + - build-amd64 + - build-arm64 + steps: + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + + # Log in docker hub + - name: Log in to Docker Hub + uses: docker/login-action@v3 + with: + username: ${{ secrets.DOCKERHUB_USERNAME }} + password: ${{ secrets.DOCKERHUB_TOKEN }} + + # Generate metadata for Docker images + - name: Docker meta + id: meta + uses: docker/metadata-action@v5 + with: + images: ${{ secrets.DOCKERHUB_USERNAME }}/mofox + tags: | + type=ref,event=branch + type=ref,event=tag + type=raw,value=latest,enable=${{ github.ref == 'refs/heads/main' }} + type=semver,pattern={{version}} + type=semver,pattern={{major}}.{{minor}} + type=semver,pattern={{major}} + type=sha,prefix=${{ github.ref_name }}-,enable=${{ github.ref_type == 'branch' }} + + - name: Create and Push Manifest + run: | + # 为每个标签创建多架构镜像 + for tag in $(echo "${{ steps.meta.outputs.tags }}" | tr '\n' ' '); do + echo "Creating manifest for $tag" + docker buildx imagetools create -t $tag \ + ${{ secrets.DOCKERHUB_USERNAME }}/mofox@${{ needs.build-amd64.outputs.digest }} \ + ${{ secrets.DOCKERHUB_USERNAME }}/mofox@${{ needs.build-arm64.outputs.digest }} + done \ No newline at end of file diff --git a/docker-compose.yml b/docker-compose.yml index 89d039a97..e7fe3cdb2 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -1,20 +1,19 @@ services: core: - container_name: InkFox-Bot + container_name: MoFox-Bot #### prod #### - image: sengokucola/maibot:latest - # image: infinitycat/maibot:latest + image: hunuon/mofox:latest #### dev #### - # image: sengokucola/maibot:dev + # image: hunuon/mofox:dev environment: - TZ=Asia/Shanghai volumes: - - ./docker-config/mmc/.env:/InkFox/.env # 持久化env配置文件 - - ./docker-config/mmc:/InkFox/config # 持久化bot配置文件 - - ./data/InkFox/maibot_statistics.html:/InkFox/maibot_statistics.html #统计数据输出 - - ./data/InkFox:/InkFox/data # 共享目录 - - ./data/InkFox/plugins:/InkFox/plugins # 插件目录 - - ./data/InkFox/logs:/InkFox/logs # 日志目录 + - ./docker-config/core/.env:/app/.env # 持久化env配置文件 + - ./docker-config/core:/app/config # 持久化bot配置文件 + - ./data/core/maibot_statistics.html:/app/maibot_statistics.html #统计数据输出 + - ./data/app:/app/data # 共享目录 + - ./data/core/plugins:/app/plugins # 插件目录 + - ./data/core/logs:/app/logs # 日志目录 restart: always networks: - mofox @@ -28,8 +27,8 @@ services: volumes: - ./docker-config/napcat:/app/napcat/config # 持久化napcat配置文件 - ./data/qq:/app/.config/QQ # 持久化QQ本体 - - ./data/InkFox:/InkFox/data # 共享目录 - container_name: maim-bot-napcat + - ./data/app:/app/data # 共享目录 + container_name: mofox-napcat restart: always image: mlikiowa/napcat-docker:latest networks: @@ -44,7 +43,7 @@ services: # ports: # - "10824:10824" # volumes: - # - ./data/InkFox:/data/InkFox + # - ./data/chat2db:/data/app # networks: # - mofox volumes: From 599dc95a99154a42c229b8dd5667495960039c01 Mon Sep 17 00:00:00 2001 From: minecraft1024a Date: Sat, 18 Oct 2025 21:29:44 +0800 Subject: [PATCH 15/24] =?UTF-8?q?refactor(knowledge):=20=E7=AE=80=E5=8C=96?= =?UTF-8?q?=E7=9F=A5=E8=AF=86=E5=BA=93=E9=97=AE=E7=AD=94=E7=AE=A1=E7=90=86?= =?UTF-8?q?=E5=99=A8=E7=9A=84=E4=BD=BF=E7=94=A8?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 将 `QAManager` 类实例化改为直接导入和使用单例 `qa_manager`，以简化代码并提高效率。同时，移除了对 `get_knowledge` 方法中不再需要的参数，使其调用更加清晰。 --- src/chat/utils/prompt.py | 11 +++-------- 1 file changed, 3 insertions(+), 8 deletions(-) diff --git a/src/chat/utils/prompt.py b/src/chat/utils/prompt.py index 40d3aff8a..4ece3ef94 100644 --- a/src/chat/utils/prompt.py +++ b/src/chat/utils/prompt.py @@ -760,20 +760,15 @@ class Prompt: return {"knowledge_prompt": ""} try: - from src.chat.knowledge.knowledge_lib import QAManager + from src.chat.knowledge.knowledge_lib import qa_manager # 获取问题文本（当前消息） question = self.parameters.target or "" - if not question: + if not question or not qa_manager: return {"knowledge_prompt": ""} - # 创建QA管理器 - qa_manager = QAManager() - # 搜索相关知识 - knowledge_results = await qa_manager.get_knowledge( - question=question, chat_id=self.parameters.chat_id, max_results=5, min_similarity=0.5 - ) + knowledge_results = await qa_manager.get_knowledge(question=question) # 构建知识块 if knowledge_results and knowledge_results.get("knowledge_items"): From 22ef271c898a0389a4408f7a5cff24c7ae2e2785 Mon Sep 17 00:00:00 2001 From: minecraft1024a Date: Sat, 18 Oct 2025 21:57:27 +0800 Subject: [PATCH 16/24] =?UTF-8?q?fix(chat):=20=E4=BF=AE=E5=A4=8D=E7=9F=A5?= =?UTF-8?q?=E8=AF=86=E5=BA=93=E7=9B=B8=E5=85=B3=E6=80=A7=E5=BE=97=E5=88=86?= =?UTF-8?q?=E6=A0=BC=E5=BC=8F=E5=8C=96=E9=97=AE=E9=A2=98?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 当知识库返回的相关性得分（relevance）不是有效的浮点数时，格式化字符串 `f"{relevance:.2f}"` 会引发 `TypeError` 或 `ValueError`，导致程序崩溃。 本次修改通过添加 `try-except` 块来捕获潜在的异常。如果 `relevance` 可以成功转换为浮点数，则将其格式化为两位小数；如果转换失败，则直接使用其原始字符串表示形式，从而增强了代码的健壮性，避免了因数据类型不匹配而导致的运行时错误。 --- src/chat/utils/prompt.py | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/src/chat/utils/prompt.py b/src/chat/utils/prompt.py index 4ece3ef94..543da2d2b 100644 --- a/src/chat/utils/prompt.py +++ b/src/chat/utils/prompt.py @@ -778,12 +778,17 @@ class Prompt: content = item.get("content", "") source = item.get("source", "") relevance = item.get("relevance", 0.0) - if content: + try: + relevance_float = float(relevance) + relevance_str = f"{relevance_float:.2f}" + except (ValueError, TypeError): + relevance_str = str(relevance) + if source: - knowledge_parts.append(f"- [{relevance:.2f}] {content} (来源: {source})") + knowledge_parts.append(f"- [{relevance_str}] {content} (来源: {source})") else: - knowledge_parts.append(f"- [{relevance:.2f}] {content}") + knowledge_parts.append(f"- [{relevance_str}] {content}") if knowledge_results.get("summary"): knowledge_parts.append(f"\n知识总结: {knowledge_results['summary']}") From 2bb7e512520ab7760870ccefc94b55eac3f0054d Mon Sep 17 00:00:00 2001 From: tt-P607 <68868379+tt-P607@users.noreply.github.com> Date: Sat, 18 Oct 2025 23:17:24 +0800 Subject: [PATCH 17/24] =?UTF-8?q?feat(knowledge):=20=E6=96=B0=E5=A2=9E?= =?UTF-8?q?=E9=97=AE=E7=AD=94=E6=AE=B5=E8=90=BD=E7=9B=B8=E4=BC=BC=E5=BA=A6?= =?UTF-8?q?=E9=98=88=E5=80=BC?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 为知识库问答中的段落检索增加相似度阈值过滤功能。 此前，即使相似度很低的段落也会被返回，可能导致问答结果不准确。通过新增 `qa_paragraph_threshold` 配置项，可以过滤掉低于设定阈值的段落，从而提高问答的精准度和相关性。 --- src/chat/knowledge/qa_manager.py | 2 ++ src/config/official_configs.py | 1 + template/bot_config_template.toml | 3 ++- 3 files changed, 5 insertions(+), 1 deletion(-) diff --git a/src/chat/knowledge/qa_manager.py b/src/chat/knowledge/qa_manager.py index b08fb24e0..56fa6275f 100644 --- a/src/chat/knowledge/qa_manager.py +++ b/src/chat/knowledge/qa_manager.py @@ -88,6 +88,8 @@ class QAManager: else: logger.info("未找到相关关系，将使用文段检索结果") result = paragraph_search_res + if result and result[0][1] < global_config.lpmm_knowledge.qa_paragraph_threshold: + result = [] ppr_node_weights = None # 过滤阈值 diff --git a/src/config/official_configs.py b/src/config/official_configs.py index c5968822f..3a7e5cac1 100644 --- a/src/config/official_configs.py +++ b/src/config/official_configs.py @@ -481,6 +481,7 @@ class LPMMKnowledgeConfig(ValidatedConfigBase): info_extraction_workers: int = Field(default=3, description="信息提取工作线程数") qa_relation_search_top_k: int = Field(default=10, description="QA关系搜索Top K") qa_relation_threshold: float = Field(default=0.75, description="QA关系阈值") + qa_paragraph_threshold: float = Field(default=0.3, description="QA段落阈值") qa_paragraph_search_top_k: int = Field(default=1000, description="QA段落搜索Top K") qa_paragraph_node_weight: float = Field(default=0.05, description="QA段落节点权重") qa_ent_filter_top_k: int = Field(default=10, description="QA实体过滤Top K") diff --git a/template/bot_config_template.toml b/template/bot_config_template.toml index 0d4581d07..75b9a6963 100644 --- a/template/bot_config_template.toml +++ b/template/bot_config_template.toml @@ -1,5 +1,5 @@ [inner] -version = "7.3.2" +version = "7.3.3" #----以下是给开发人员阅读的，如果你只是部署了MoFox-Bot，不需要阅读---- #如果你想要修改配置文件，请递增version的值 @@ -318,6 +318,7 @@ info_extraction_workers = 3 # 实体提取同时执行线程数，非Pro模型 qa_relation_search_top_k = 10 # 关系搜索TopK qa_relation_threshold = 0.5 # 关系阈值（相似度高于此阈值的关系会被认为是相关的关系） qa_paragraph_search_top_k = 1000 # 段落搜索TopK（不能过小，可能影响搜索结果） +qa_paragraph_threshold = 0.4 # 段落阈值（相似度高于此阈值的段落才会被认为是相关的） qa_paragraph_node_weight = 0.05 # 段落节点权重（在图搜索&PPR计算中的权重，当搜索仅使用DPR时，此参数不起作用） qa_ent_filter_top_k = 10 # 实体过滤TopK qa_ppr_damping = 0.8 # PPR阻尼系数 From 4f2cb56740f6ee214b38806a5ce275388e355622 Mon Sep 17 00:00:00 2001 From: tt-P607 <68868379+tt-P607@users.noreply.github.com> Date: Sat, 18 Oct 2025 23:38:03 +0800 Subject: [PATCH 18/24] =?UTF-8?q?refactor(learning):=20=E5=9C=A8=E7=BA=BF?= =?UTF-8?q?=E7=A8=8B=E6=B1=A0=E5=B7=A5=E4=BD=9C=E5=87=BD=E6=95=B0=E4=B8=AD?= =?UTF-8?q?=E5=AE=9E=E4=BE=8B=E5=8C=96LLMRequest?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 将 `LLMRequest` 对象的实例化从 `extract_information` 函数移动到线程池执行的 `extract_info_sync` 函数内部。 此更改确保每个工作线程都有自己独立的 `LLMRequest` 实例，避免了在多线程环境下共享同一实例可能引发的潜在并发问题。 --- scripts/lpmm_learning_tool.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/scripts/lpmm_learning_tool.py b/scripts/lpmm_learning_tool.py index 19b2baf7c..dc9bda57b 100644 --- a/scripts/lpmm_learning_tool.py +++ b/scripts/lpmm_learning_tool.py @@ -192,7 +192,8 @@ async def extract_info_async(pg_hash, paragraph, llm_api): return None, pg_hash -def extract_info_sync(pg_hash, paragraph, llm_api): +def extract_info_sync(pg_hash, paragraph, model_set): + llm_api = LLMRequest(model_set=model_set) return asyncio.run(extract_info_async(pg_hash, paragraph, llm_api)) @@ -201,12 +202,12 @@ def extract_information(paragraphs_dict, model_set): os.makedirs(OPENIE_OUTPUT_DIR, exist_ok=True) os.makedirs(TEMP_DIR, exist_ok=True) - llm_api = LLMRequest(model_set=model_set) failed_hashes, open_ie_docs = [], [] with ThreadPoolExecutor(max_workers=5) as executor: f_to_hash = { - executor.submit(extract_info_sync, p_hash, p, llm_api): p_hash for p_hash, p in paragraphs_dict.items() + executor.submit(extract_info_sync, p_hash, p, model_set): p_hash + for p_hash, p in paragraphs_dict.items() } with Progress( SpinnerColumn(), From 50a6c2de587cc7b23290137912f10d58617a46fc Mon Sep 17 00:00:00 2001 From: minecraft1024a Date: Sun, 19 Oct 2025 13:00:18 +0800 Subject: [PATCH 19/24] =?UTF-8?q?feat(plugin):=20=E5=BC=95=E5=85=A5Prompt?= =?UTF-8?q?=E7=BB=84=E4=BB=B6=E7=B3=BB=E7=BB=9F=E4=BB=A5=E5=AE=9E=E7=8E=B0?= =?UTF-8?q?=E5=8A=A8=E6=80=81Prompt=E6=B3=A8=E5=85=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 引入了一个新的插件组件类型 `BasePrompt`，允许插件动态地向核心Prompt模板中注入额外的上下文信息。该系统旨在提高Prompt的可扩展性和可定制性，使得开发者可以在不修改核心代码的情况下，通过插件来丰富和调整模型的行为。 主要变更包括： - **`BasePrompt` 基类**: 定义了Prompt组件的标准接口，包括 `execute` 方法用于生成注入内容，以及 `injection_point` 属性用于指定目标Prompt。 - **`PromptComponentManager`**: 一个新的管理器，负责注册、分类和执行所有 `BasePrompt` 组件。它会在构建核心Prompt时，自动查找并执行相关组件，将其输出拼接到主Prompt内容之前。 - **核心Prompt逻辑更新**: `src.chat.utils.prompt.Prompt` 类现在会调用 `PromptComponentManager` 来获取并注入组件内容。 - **插件系统集成**: `ComponentRegistry` 和 `PluginManager` 已更新，以支持 `BasePrompt` 组件的注册、管理和统计。 - **示例插件更新**: `hello_world_plugin` 中增加了一个 `WeatherPrompt` 示例，演示了如何创建和注册一个新的Prompt组件。 - **代码重构**: 将 `PromptParameters` 类从 `prompt.py` 移动到独立的 `prompt_params.py` 文件中，以改善模块化和解决循环依赖问题。 --- plugins/hello_world_plugin/plugin.py | 32 ++++- src/chat/replyer/default_generator.py | 3 +- src/chat/utils/prompt.py | 97 +++------------ src/chat/utils/prompt_component_manager.py | 123 +++++++++++++++++++ src/chat/utils/prompt_params.py | 79 ++++++++++++ src/plugin_system/__init__.py | 2 + src/plugin_system/base/__init__.py | 2 + src/plugin_system/base/base_plugin.py | 10 ++ src/plugin_system/base/base_prompt.py | 95 ++++++++++++++ src/plugin_system/base/component_types.py | 13 ++ src/plugin_system/core/component_registry.py | 48 +++++++- src/plugin_system/core/plugin_manager.py | 9 +- 12 files changed, 428 insertions(+), 85 deletions(-) create mode 100644 src/chat/utils/prompt_component_manager.py create mode 100644 src/chat/utils/prompt_params.py create mode 100644 src/plugin_system/base/base_prompt.py diff --git a/plugins/hello_world_plugin/plugin.py b/plugins/hello_world_plugin/plugin.py index 5d1026d52..fbb4fcab8 100644 --- a/plugins/hello_world_plugin/plugin.py +++ b/plugins/hello_world_plugin/plugin.py @@ -6,6 +6,8 @@ from src.plugin_system import ( BaseAction, BaseEventHandler, BasePlugin, + BasePrompt, + ToolParamType, BaseTool, ChatType, CommandArgs, @@ -36,7 +38,17 @@ class GetSystemInfoTool(BaseTool): name = "get_system_info" description = "获取当前系统的模拟版本和状态信息。" available_for_llm = True - parameters = [] + parameters = [ + ("query", ToolParamType.STRING, "要搜索的关键词或问题。", True, None), + ("num_results", ToolParamType.INTEGER, "期望每个搜索引擎返回的搜索结果数量，默认为5。", False, None), + ( + "time_range", + ToolParamType.STRING, + "指定搜索的时间范围，可以是 'any', 'week', 'month'。默认为 'any'。", + False, + ["any", "week", "month"], + ), + ] # type: ignore async def execute(self, function_args: dict[str, Any]) -> dict[str, Any]: return {"name": self.name, "content": "系统版本: 1.0.1, 状态: 运行正常"} @@ -99,7 +111,6 @@ class LLMJudgeExampleAction(BaseAction): async def go_activate(self, chat_content: str = "", llm_judge_model=None) -> bool: """LLM 判断激活：判断用户是否情绪低落""" return await self._llm_judge_activation( - chat_content=chat_content, judge_prompt=""" 判断用户是否表达了以下情绪或需求： 1. 感到难过、沮丧或失落 @@ -169,6 +180,19 @@ class RandomEmojiAction(BaseAction): return True, "成功发送了一个随机表情" +class WeatherPrompt(BasePrompt): + """一个简单的Prompt组件，用于向Planner注入天气信息。""" + + prompt_name = "weather_info_prompt" + prompt_description = "向Planner注入当前天气信息，以丰富对话上下文。" + injection_point = "planner_prompt" + + async def execute(self) -> str: + # 在实际应用中，这里可以调用天气API + # 为了演示，我们返回一个固定的天气信息 + return "当前天气：晴朗，温度25°C。" + + @register_plugin class HelloWorldPlugin(BasePlugin): """一个包含四大核心组件和高级配置功能的入门示例插件。""" @@ -178,7 +202,6 @@ class HelloWorldPlugin(BasePlugin): dependencies = [] python_dependencies = [] config_file_name = "config.toml" - enable_plugin = False config_schema = { "meta": { @@ -208,4 +231,7 @@ class HelloWorldPlugin(BasePlugin): if self.get_config("components.random_emoji_action_enabled", True): components.append((RandomEmojiAction.get_action_info(), RandomEmojiAction)) + # 注册新的Prompt组件 + components.append((WeatherPrompt.get_prompt_info(), WeatherPrompt)) + return components diff --git a/src/chat/replyer/default_generator.py b/src/chat/replyer/default_generator.py index 9b25fd110..ec7e14787 100644 --- a/src/chat/replyer/default_generator.py +++ b/src/chat/replyer/default_generator.py @@ -23,7 +23,8 @@ from src.chat.utils.chat_message_builder import ( from src.chat.utils.memory_mappings import get_memory_type_chinese_label # 导入新的统一Prompt系统 -from src.chat.utils.prompt import Prompt, PromptParameters, global_prompt_manager +from src.chat.utils.prompt import Prompt, global_prompt_manager +from src.chat.utils.prompt_params import PromptParameters from src.chat.utils.timer_calculator import Timer from src.chat.utils.utils import get_chat_type_and_target_info from src.common.logger import get_logger diff --git a/src/chat/utils/prompt.py b/src/chat/utils/prompt.py index 543da2d2b..356255fd5 100644 --- a/src/chat/utils/prompt.py +++ b/src/chat/utils/prompt.py @@ -8,13 +8,14 @@ import contextvars import re import time from contextlib import asynccontextmanager -from dataclasses import dataclass, field -from typing import Any, Literal, Optional +from typing import Any, Optional from rich.traceback import install from src.chat.message_receive.chat_stream import get_chat_manager from src.chat.utils.chat_message_builder import build_readable_messages +from src.chat.utils.prompt_component_manager import prompt_component_manager +from src.chat.utils.prompt_params import PromptParameters from src.common.logger import get_logger from src.config.config import global_config from src.person_info.person_info import get_person_info_manager @@ -23,80 +24,6 @@ install(extra_lines=3) logger = get_logger("unified_prompt") -@dataclass -class PromptParameters: - """统一提示词参数系统""" - - # 基础参数 - chat_id: str = "" - is_group_chat: bool = False - sender: str = "" - target: str = "" - reply_to: str = "" - extra_info: str = "" - prompt_mode: Literal["s4u", "normal", "minimal"] = "s4u" - bot_name: str = "" - bot_nickname: str = "" - - # 功能开关 - enable_tool: bool = True - enable_memory: bool = True - enable_expression: bool = True - enable_relation: bool = True - enable_cross_context: bool = True - enable_knowledge: bool = True - - # 性能控制 - max_context_messages: int = 50 - - # 调试选项 - debug_mode: bool = False - - # 聊天历史和上下文 - chat_target_info: dict[str, Any] | None = None - message_list_before_now_long: list[dict[str, Any]] = field(default_factory=list) - message_list_before_short: list[dict[str, Any]] = field(default_factory=list) - chat_talking_prompt_short: str = "" - target_user_info: dict[str, Any] | None = None - - # 已构建的内容块 - expression_habits_block: str = "" - relation_info_block: str = "" - memory_block: str = "" - tool_info_block: str = "" - knowledge_prompt: str = "" - cross_context_block: str = "" - - # 其他内容块 - keywords_reaction_prompt: str = "" - extra_info_block: str = "" - time_block: str = "" - identity_block: str = "" - schedule_block: str = "" - moderation_prompt_block: str = "" - safety_guidelines_block: str = "" - reply_target_block: str = "" - mood_prompt: str = "" - action_descriptions: str = "" - - # 可用动作信息 - available_actions: dict[str, Any] | None = None - - # 动态生成的聊天场景提示 - chat_scene: str = "" - - def validate(self) -> list[str]: - """参数验证""" - errors = [] - if not self.chat_id: - errors.append("chat_id不能为空") - if self.prompt_mode not in ["s4u", "normal", "minimal"]: - errors.append("prompt_mode必须是's4u'、'normal'或'minimal'") - if self.max_context_messages <= 0: - errors.append("max_context_messages必须大于0") - return errors - - class PromptContext: """提示词上下文管理器""" @@ -303,11 +230,23 @@ class Prompt: start_time = time.time() try: - # 构建上下文数据 + # 1. 从组件管理器获取注入内容 + components_prefix = "" + if self.name: + components_prefix = await prompt_component_manager.execute_components_for( + injection_point=self.name, params=self.parameters + ) + + # 2. 构建核心上下文数据 context_data = await self._build_context_data() - # 格式化模板 - result = await self._format_with_context(context_data) + # 3. 格式化主模板 + main_formatted_prompt = await self._format_with_context(context_data) + + # 4. 拼接组件内容和主模板内容 + result = main_formatted_prompt + if components_prefix: + result = f"{components_prefix}\n\n{main_formatted_prompt}" total_time = time.time() - start_time logger.debug(f"Prompt构建完成，模式: {self.parameters.prompt_mode}, 耗时: {total_time:.2f}s") diff --git a/src/chat/utils/prompt_component_manager.py b/src/chat/utils/prompt_component_manager.py new file mode 100644 index 000000000..380e6dc77 --- /dev/null +++ b/src/chat/utils/prompt_component_manager.py @@ -0,0 +1,123 @@ +import asyncio +from collections import defaultdict +from typing import Type + +from src.chat.utils.prompt_params import PromptParameters +from src.common.logger import get_logger +from src.plugin_system.base.base_prompt import BasePrompt +from src.plugin_system.base.component_types import PromptInfo + +logger = get_logger("prompt_component_manager") + + +class PromptComponentManager: + """ + 管理所有 `BasePrompt` 组件的单例类。 + + 该管理器负责： + 1. 注册由插件定义的 `BasePrompt` 子类。 + 2. 根据注入点（目标Prompt名称）对它们进行分类存储。 + 3. 提供一个接口，以便在构建核心Prompt时，能够获取并执行所有相关的组件。 + """ + + def __init__(self): + self._registry: dict[str, list[Type[BasePrompt]]] = defaultdict(list) + self._prompt_infos: dict[str, PromptInfo] = {} + + def register(self, component_class: Type[BasePrompt]): + """ + 注册一个 `BasePrompt` 组件类。 + + Args: + component_class: 要注册的 `BasePrompt` 子类。 + """ + if not issubclass(component_class, BasePrompt): + logger.warning(f"尝试注册一个非 BasePrompt 的类: {component_class.__name__}") + return + + try: + prompt_info = component_class.get_prompt_info() + if prompt_info.name in self._prompt_infos: + logger.warning(f"重复注册 Prompt 组件: {prompt_info.name}。将覆盖旧组件。") + + injection_points = prompt_info.injection_point + if isinstance(injection_points, str): + injection_points = [injection_points] + + if not injection_points or not all(injection_points): + logger.debug(f"Prompt 组件 '{prompt_info.name}' 未指定有效的 injection_point，将不会被自动注入。") + return + + for point in injection_points: + self._registry[point].append(component_class) + + self._prompt_infos[prompt_info.name] = prompt_info + logger.info(f"成功注册 Prompt 组件 '{prompt_info.name}' 到注入点: {injection_points}") + + except ValueError as e: + logger.error(f"注册 Prompt 组件失败 {component_class.__name__}: {e}") + + def get_components_for(self, injection_point: str) -> list[Type[BasePrompt]]: + """ + 获取指定注入点的所有已注册组件类。 + + Args: + injection_point: 目标Prompt的名称。 + + Returns: + list[Type[BasePrompt]]: 与该注入点关联的组件类列表。 + """ + return self._registry.get(injection_point, []) + + async def execute_components_for(self, injection_point: str, params: PromptParameters) -> str: + """ + 实例化并执行指定注入点的所有组件，然后将它们的输出拼接成一个字符串。 + + Args: + injection_point: 目标Prompt的名称。 + params: 用于初始化组件的 PromptParameters 对象。 + + Returns: + str: 所有相关组件生成的、用换行符连接的文本内容。 + """ + component_classes = self.get_components_for(injection_point) + if not component_classes: + return "" + + tasks = [] + from src.plugin_system.core.component_registry import component_registry + + for component_class in component_classes: + try: + prompt_info = self._prompt_infos.get(component_class.prompt_name) + if not prompt_info: + logger.warning(f"找不到 Prompt 组件 '{component_class.prompt_name}' 的信息，无法获取插件配置") + plugin_config = {} + else: + plugin_config = component_registry.get_plugin_config(prompt_info.plugin_name) + + instance = component_class(params=params, plugin_config=plugin_config) + tasks.append(instance.execute()) + except Exception as e: + logger.error(f"实例化 Prompt 组件 '{component_class.prompt_name}' 失败: {e}") + + if not tasks: + return "" + + # 并行执行所有组件 + results = await asyncio.gather(*tasks, return_exceptions=True) + + # 过滤掉执行失败的结果和空字符串 + valid_results = [] + for i, result in enumerate(results): + if isinstance(result, Exception): + logger.error(f"执行 Prompt 组件 '{component_classes[i].prompt_name}' 失败: {result}") + elif result and isinstance(result, str) and result.strip(): + valid_results.append(result.strip()) + + # 使用换行符拼接所有有效结果 + return "\n".join(valid_results) + + +# 创建全局单例 +prompt_component_manager = PromptComponentManager() \ No newline at end of file diff --git a/src/chat/utils/prompt_params.py b/src/chat/utils/prompt_params.py new file mode 100644 index 000000000..2722c3605 --- /dev/null +++ b/src/chat/utils/prompt_params.py @@ -0,0 +1,79 @@ +""" +This module contains the PromptParameters class, which is used to define the parameters for a prompt. +""" +from dataclasses import dataclass, field +from typing import Any, Literal + + +@dataclass +class PromptParameters: + """统一提示词参数系统""" + + # 基础参数 + chat_id: str = "" + is_group_chat: bool = False + sender: str = "" + target: str = "" + reply_to: str = "" + extra_info: str = "" + prompt_mode: Literal["s4u", "normal", "minimal"] = "s4u" + bot_name: str = "" + bot_nickname: str = "" + + # 功能开关 + enable_tool: bool = True + enable_memory: bool = True + enable_expression: bool = True + enable_relation: bool = True + enable_cross_context: bool = True + enable_knowledge: bool = True + + # 性能控制 + max_context_messages: int = 50 + + # 调试选项 + debug_mode: bool = False + + # 聊天历史和上下文 + chat_target_info: dict[str, Any] | None = None + message_list_before_now_long: list[dict[str, Any]] = field(default_factory=list) + message_list_before_short: list[dict[str, Any]] = field(default_factory=list) + chat_talking_prompt_short: str = "" + target_user_info: dict[str, Any] | None = None + + # 已构建的内容块 + expression_habits_block: str = "" + relation_info_block: str = "" + memory_block: str = "" + tool_info_block: str = "" + knowledge_prompt: str = "" + cross_context_block: str = "" + + # 其他内容块 + keywords_reaction_prompt: str = "" + extra_info_block: str = "" + time_block: str = "" + identity_block: str = "" + schedule_block: str = "" + moderation_prompt_block: str = "" + safety_guidelines_block: str = "" + reply_target_block: str = "" + mood_prompt: str = "" + action_descriptions: str = "" + + # 可用动作信息 + available_actions: dict[str, Any] | None = None + + # 动态生成的聊天场景提示 + chat_scene: str = "" + + def validate(self) -> list[str]: + """参数验证""" + errors = [] + if not self.chat_id: + errors.append("chat_id不能为空") + if self.prompt_mode not in ["s4u", "normal", "minimal"]: + errors.append("prompt_mode必须是's4u'、'normal'或'minimal'") + if self.max_context_messages <= 0: + errors.append("max_context_messages必须大于0") + return errors \ No newline at end of file diff --git a/src/plugin_system/__init__.py b/src/plugin_system/__init__.py index 6f9d14714..3f19de3a1 100644 --- a/src/plugin_system/__init__.py +++ b/src/plugin_system/__init__.py @@ -26,6 +26,7 @@ from .base import ( ActionInfo, BaseAction, BaseCommand, + BasePrompt, BaseEventHandler, BasePlugin, BaseTool, @@ -64,6 +65,7 @@ __all__ = [ "BaseEventHandler", # 基础类 "BasePlugin", + "BasePrompt", "BaseTool", "ChatMode", "ChatType", diff --git a/src/plugin_system/base/__init__.py b/src/plugin_system/base/__init__.py index 0e69b1206..1b62d2a78 100644 --- a/src/plugin_system/base/__init__.py +++ b/src/plugin_system/base/__init__.py @@ -8,6 +8,7 @@ from .base_action import BaseAction from .base_command import BaseCommand from .base_events_handler import BaseEventHandler from .base_plugin import BasePlugin +from .base_prompt import BasePrompt from .base_tool import BaseTool from .command_args import CommandArgs from .component_types import ( @@ -37,6 +38,7 @@ __all__ = [ "BaseCommand", "BaseEventHandler", "BasePlugin", + "BasePrompt", "BaseTool", "ChatMode", "ChatType", diff --git a/src/plugin_system/base/base_plugin.py b/src/plugin_system/base/base_plugin.py index df48a3164..662af3a5e 100644 --- a/src/plugin_system/base/base_plugin.py +++ b/src/plugin_system/base/base_plugin.py @@ -8,6 +8,7 @@ from src.plugin_system.base.component_types import ( EventHandlerInfo, InterestCalculatorInfo, PlusCommandInfo, + PromptInfo, ToolInfo, ) @@ -15,6 +16,7 @@ from .base_action import BaseAction from .base_command import BaseCommand from .base_events_handler import BaseEventHandler from .base_interest_calculator import BaseInterestCalculator +from .base_prompt import BasePrompt from .base_tool import BaseTool from .plugin_base import PluginBase from .plus_command import PlusCommand @@ -80,6 +82,13 @@ class BasePlugin(PluginBase): logger.warning("EventHandler的get_info逻辑尚未实现") return None + elif component_type == ComponentType.PROMPT: + if hasattr(component_class, "get_prompt_info"): + return component_class.get_prompt_info() + else: + logger.warning(f"Prompt类 {component_class.__name__} 缺少 get_prompt_info 方法") + return None + else: logger.error(f"不支持的组件类型: {component_type}") return None @@ -109,6 +118,7 @@ class BasePlugin(PluginBase): | tuple[EventHandlerInfo, type[BaseEventHandler]] | tuple[ToolInfo, type[BaseTool]] | tuple[InterestCalculatorInfo, type[BaseInterestCalculator]] + | tuple[PromptInfo, type[BasePrompt]] ]: """获取插件包含的组件列表 diff --git a/src/plugin_system/base/base_prompt.py b/src/plugin_system/base/base_prompt.py new file mode 100644 index 000000000..8947ea2f5 --- /dev/null +++ b/src/plugin_system/base/base_prompt.py @@ -0,0 +1,95 @@ +from abc import ABC, abstractmethod +from typing import Any + +from src.chat.utils.prompt_params import PromptParameters +from src.common.logger import get_logger +from src.plugin_system.base.component_types import ComponentType, PromptInfo + +logger = get_logger("base_prompt") + + +class BasePrompt(ABC): + """Prompt组件基类 + + Prompt是插件的一种组件类型，用于动态地向现有的核心Prompt模板中注入额外的上下文信息。 + 它的主要作用是在不修改核心代码的情况下，扩展和定制模型的行为。 + + 子类可以通过类属性定义其行为： + - prompt_name: Prompt组件的唯一名称。 + - injection_point: 指定要注入的目标Prompt名称（或名称列表）。 + """ + + prompt_name: str = "" + """Prompt组件的名称""" + prompt_description: str = "" + """Prompt组件的描述""" + + # 定义此组件希望注入到哪个或哪些核心Prompt中 + # 可以是一个字符串（单个目标）或字符串列表（多个目标） + # 例如: "planner_prompt" 或 ["s4u_style_prompt", "normal_style_prompt"] + injection_point: str | list[str] = "" + """要注入的目标Prompt名称或列表""" + + def __init__(self, params: PromptParameters, plugin_config: dict | None = None): + """初始化Prompt组件 + + Args: + params: 统一提示词参数，包含所有构建提示词所需的上下文信息。 + plugin_config: 插件配置字典。 + """ + self.params = params + self.plugin_config = plugin_config or {} + self.log_prefix = "[PromptComponent]" + + logger.debug(f"{self.log_prefix} Prompt组件 '{self.prompt_name}' 初始化完成") + + @abstractmethod + async def execute(self) -> str: + """执行Prompt生成的抽象方法，子类必须实现。 + + 此方法应根据初始化时传入的 `self.params` 来构建并返回一个字符串。 + 返回的字符串将被拼接到目标Prompt的最前面。 + + Returns: + str: 生成的文本内容。 + """ + pass + + def get_config(self, key: str, default: Any = None) -> Any: + """获取插件配置值，支持嵌套键访问。 + + Args: + key: 配置键名，使用点号进行嵌套访问，如 "section.subsection.key"。 + default: 未找到键时返回的默认值。 + + Returns: + Any: 配置值或默认值。 + """ + if not self.plugin_config: + return default + + keys = key.split(".") + current = self.plugin_config + for k in keys: + if isinstance(current, dict) and k in current: + current = current[k] + else: + return default + return current + + @classmethod + def get_prompt_info(cls) -> "PromptInfo": + """从类属性生成PromptInfo，用于组件注册和管理。 + + Returns: + PromptInfo: 生成的Prompt信息对象。 + """ + if not cls.prompt_name: + raise ValueError("Prompt组件必须定义 'prompt_name' 类属性。") + + return PromptInfo( + name=cls.prompt_name, + component_type=ComponentType.PROMPT, + description=cls.prompt_description, + injection_point=cls.injection_point, + ) \ No newline at end of file diff --git a/src/plugin_system/base/component_types.py b/src/plugin_system/base/component_types.py index 53952319e..5db5fdeb3 100644 --- a/src/plugin_system/base/component_types.py +++ b/src/plugin_system/base/component_types.py @@ -20,6 +20,7 @@ class ComponentType(Enum): EVENT_HANDLER = "event_handler" # 事件处理组件 CHATTER = "chatter" # 聊天处理器组件 INTEREST_CALCULATOR = "interest_calculator" # 兴趣度计算组件 + PROMPT = "prompt" # Prompt组件 def __str__(self) -> str: return self.value @@ -266,6 +267,18 @@ class EventInfo(ComponentInfo): self.component_type = ComponentType.EVENT_HANDLER +@dataclass +class PromptInfo(ComponentInfo): + """Prompt组件信息""" + + injection_point: str | list[str] = "" + """要注入的目标Prompt名称或列表""" + + def __post_init__(self): + super().__post_init__() + self.component_type = ComponentType.PROMPT + + @dataclass class PluginInfo: """插件信息""" diff --git a/src/plugin_system/core/component_registry.py b/src/plugin_system/core/component_registry.py index 51da61743..310f95997 100644 --- a/src/plugin_system/core/component_registry.py +++ b/src/plugin_system/core/component_registry.py @@ -11,6 +11,7 @@ from src.plugin_system.base.base_chatter import BaseChatter from src.plugin_system.base.base_command import BaseCommand from src.plugin_system.base.base_events_handler import BaseEventHandler from src.plugin_system.base.base_interest_calculator import BaseInterestCalculator +from src.plugin_system.base.base_prompt import BasePrompt from src.plugin_system.base.base_tool import BaseTool from src.plugin_system.base.component_types import ( ActionInfo, @@ -22,6 +23,7 @@ from src.plugin_system.base.component_types import ( InterestCalculatorInfo, PluginInfo, PlusCommandInfo, + PromptInfo, ToolInfo, ) from src.plugin_system.base.plus_command import PlusCommand @@ -37,6 +39,7 @@ ComponentClassType = ( | type[PlusCommand] | type[BaseChatter] | type[BaseInterestCalculator] + | type[BasePrompt] ) @@ -183,6 +186,10 @@ class ComponentRegistry: assert isinstance(component_info, InterestCalculatorInfo) assert issubclass(component_class, BaseInterestCalculator) ret = self._register_interest_calculator_component(component_info, component_class) + case ComponentType.PROMPT: + assert isinstance(component_info, PromptInfo) + assert issubclass(component_class, BasePrompt) + ret = self._register_prompt_component(component_info, component_class) case _: logger.warning(f"未知组件类型: {component_type}") ret = False @@ -346,6 +353,31 @@ class ComponentRegistry: logger.debug(f"已注册InterestCalculator组件: {calculator_name}") return True + def _register_prompt_component( + self, prompt_info: PromptInfo, prompt_class: "ComponentClassType" + ) -> bool: + """注册Prompt组件到Prompt特定注册表""" + prompt_name = prompt_info.name + if not prompt_name: + logger.error(f"Prompt组件 {prompt_class.__name__} 必须指定名称") + return False + + if not hasattr(self, "_prompt_registry"): + self._prompt_registry: dict[str, type[BasePrompt]] = {} + if not hasattr(self, "_enabled_prompt_registry"): + self._enabled_prompt_registry: dict[str, type[BasePrompt]] = {} + + _assign_plugin_attrs( + prompt_class, prompt_info.plugin_name, self.get_plugin_config(prompt_info.plugin_name) or {} + ) + self._prompt_registry[prompt_name] = prompt_class # type: ignore + + if prompt_info.enabled: + self._enabled_prompt_registry[prompt_name] = prompt_class # type: ignore + + logger.debug(f"已注册Prompt组件: {prompt_name}") + return True + # === 组件移除相关 === async def remove_component(self, component_name: str, component_type: ComponentType, plugin_name: str) -> bool: @@ -580,7 +612,17 @@ class ComponentRegistry: component_name: str, component_type: ComponentType | None = None, ) -> ( - type[BaseCommand | BaseAction | BaseEventHandler | BaseTool | PlusCommand | BaseChatter | BaseInterestCalculator] | None + type[ + BaseCommand + | BaseAction + | BaseEventHandler + | BaseTool + | PlusCommand + | BaseChatter + | BaseInterestCalculator + | BasePrompt + ] + | None ): """获取组件类，支持自动命名空间解析 @@ -829,6 +871,7 @@ class ComponentRegistry: events_handlers: int = 0 plus_command_components: int = 0 chatter_components: int = 0 + prompt_components: int = 0 for component in self._components.values(): if component.component_type == ComponentType.ACTION: action_components += 1 @@ -842,6 +885,8 @@ class ComponentRegistry: plus_command_components += 1 elif component.component_type == ComponentType.CHATTER: chatter_components += 1 + elif component.component_type == ComponentType.PROMPT: + prompt_components += 1 return { "action_components": action_components, "command_components": command_components, @@ -849,6 +894,7 @@ class ComponentRegistry: "event_handlers": events_handlers, "plus_command_components": plus_command_components, "chatter_components": chatter_components, + "prompt_components": prompt_components, "total_components": len(self._components), "total_plugins": len(self._plugins), "components_by_type": { diff --git a/src/plugin_system/core/plugin_manager.py b/src/plugin_system/core/plugin_manager.py index 6cd89e5f4..3a59efeda 100644 --- a/src/plugin_system/core/plugin_manager.py +++ b/src/plugin_system/core/plugin_manager.py @@ -358,13 +358,14 @@ class PluginManager: event_handler_count = stats.get("event_handlers", 0) plus_command_count = stats.get("plus_command_components", 0) chatter_count = stats.get("chatter_components", 0) + prompt_count = stats.get("prompt_components", 0) total_components = stats.get("total_components", 0) # 📋 显示插件加载总览 if total_registered > 0: logger.info("🎉 插件系统加载完成!") logger.info( - f"📊 总览: {total_registered}个插件, {total_components}个组件 (Action: {action_count}, Command: {command_count}, Tool: {tool_count}, PlusCommand: {plus_command_count}, EventHandler: {event_handler_count}, Chatter: {chatter_count})" + f"📊 总览: {total_registered}个插件, {total_components}个组件 (Action: {action_count}, Command: {command_count}, Tool: {tool_count}, PlusCommand: {plus_command_count}, EventHandler: {event_handler_count}, Chatter: {chatter_count}, Prompt: {prompt_count})" ) # 显示详细的插件列表 @@ -402,6 +403,9 @@ class PluginManager: plus_command_components = [ c for c in plugin_info.components if c.component_type == ComponentType.PLUS_COMMAND ] + prompt_components = [ + c for c in plugin_info.components if c.component_type == ComponentType.PROMPT + ] if action_components: action_details = [format_component(c) for c in action_components] @@ -425,6 +429,9 @@ class PluginManager: if event_handler_components: event_handler_details = [format_component(c) for c in event_handler_components] logger.info(f" 📢 EventHandler组件: {', '.join(event_handler_details)}") + if prompt_components: + prompt_details = [format_component(c) for c in prompt_components] + logger.info(f" 📝 Prompt组件: {', '.join(prompt_details)}") # 权限节点信息 if plugin_instance := self.loaded_plugins.get(plugin_name): From 73383f8246e3373c5c0b14f7bab2eb56147c4558 Mon Sep 17 00:00:00 2001 From: minecraft1024a Date: Sun, 19 Oct 2025 13:32:49 +0800 Subject: [PATCH 20/24] =?UTF-8?q?refactor(prompt):=20=E4=BC=98=E5=8C=96Pro?= =?UTF-8?q?mpt=E7=BB=84=E4=BB=B6=E6=B3=A8=E5=85=A5=E9=80=BB=E8=BE=91?= =?UTF-8?q?=E5=B9=B6=E7=AE=80=E5=8C=96=E4=BB=A3=E7=A0=81?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 将Prompt组件的注入逻辑从`Prompt.format`方法前置到`PromptManager.get_prompt_async`和`create_prompt_async`中。这使得注入时机更早，逻辑更清晰，并允许在获取Prompt时就能动态传入参数以影响注入内容。 主要变更： - `PromptManager`: `get_prompt_async`现在负责处理组件注入，并接收可选的`parameters`参数。`format_prompt`相应地传递参数。 - `create_prompt_async`: 现在也支持在创建时进行动态注入。 - `Prompt.format`: 移除了原有的组件注入逻辑，简化了方法实现。 - `PromptComponentManager`: 重构为直接从全局`component_registry`获取组件，移除了自身的注册和存储逻辑，减少了状态管理的复杂性。 - `plan_filter.py`: 删除了大量冗余和重复的代码块，包括主动聊天模式的独立逻辑和旧的历史消息构建方式。 --- src/chat/utils/prompt.py | 98 +++++++++++++------ src/chat/utils/prompt_component_manager.py | 78 ++++++--------- .../affinity_flow_chatter/plan_filter.py | 69 +------------ 3 files changed, 104 insertions(+), 141 deletions(-) diff --git a/src/chat/utils/prompt.py b/src/chat/utils/prompt.py index 356255fd5..6f46a99c3 100644 --- a/src/chat/utils/prompt.py +++ b/src/chat/utils/prompt.py @@ -58,7 +58,7 @@ class PromptContext: context_id = None previous_context = self._current_context - token = self._current_context_var.set(context_id) if context_id else None + token = self._current_context_var.set(context_id) if context_id else None # type: ignore else: previous_context = self._current_context token = None @@ -111,16 +111,42 @@ class PromptManager: async with self._context.async_scope(message_id): yield self - async def get_prompt_async(self, name: str) -> "Prompt": - """异步获取提示模板""" + async def get_prompt_async(self, name: str, parameters: PromptParameters | None = None) -> "Prompt": + """ + 异步获取提示模板，并动态注入插件内容 + """ + original_prompt = None context_prompt = await self._context.get_prompt_async(name) if context_prompt is not None: logger.debug(f"从上下文中获取提示词: {name} {context_prompt}") - return context_prompt - - if name not in self._prompts: + original_prompt = context_prompt + elif name in self._prompts: + original_prompt = self._prompts[name] + else: raise KeyError(f"Prompt '{name}' not found") - return self._prompts[name] + + # 动态注入插件内容 + if original_prompt.name: + # 确保我们有有效的parameters实例 + params_for_injection = parameters or original_prompt.parameters + + components_prefix = await prompt_component_manager.execute_components_for( + injection_point=original_prompt.name, params=params_for_injection + ) + logger.info(components_prefix) + if components_prefix: + logger.info(f"为'{name}'注入插件内容: \n{components_prefix}") + # 创建一个新的临时Prompt实例，不进行注册 + new_template = f"{components_prefix}\n\n{original_prompt.template}" + temp_prompt = Prompt( + template=new_template, + name=original_prompt.name, + parameters=original_prompt.parameters, + should_register=False, # 确保不重新注册 + ) + return temp_prompt + + return original_prompt def generate_name(self, template: str) -> str: """为未命名的prompt生成名称""" @@ -142,7 +168,9 @@ class PromptManager: async def format_prompt(self, name: str, **kwargs) -> str: """格式化提示模板""" - prompt = await self.get_prompt_async(name) + # 提取parameters用于注入 + parameters = kwargs.get("parameters") + prompt = await self.get_prompt_async(name, parameters=parameters) result = prompt.format(**kwargs) return result @@ -230,23 +258,14 @@ class Prompt: start_time = time.time() try: - # 1. 从组件管理器获取注入内容 - components_prefix = "" - if self.name: - components_prefix = await prompt_component_manager.execute_components_for( - injection_point=self.name, params=self.parameters - ) - - # 2. 构建核心上下文数据 + # 1. 构建核心上下文数据 context_data = await self._build_context_data() - # 3. 格式化主模板 + # 2. 格式化主模板 main_formatted_prompt = await self._format_with_context(context_data) - # 4. 拼接组件内容和主模板内容 + # 3. 拼接组件内容和主模板内容 (逻辑已前置到 get_prompt_async) result = main_formatted_prompt - if components_prefix: - result = f"{components_prefix}\n\n{main_formatted_prompt}" total_time = time.time() - start_time logger.debug(f"Prompt构建完成，模式: {self.parameters.prompt_mode}, 耗时: {total_time:.2f}s") @@ -406,9 +425,13 @@ class Prompt: if not self.parameters.message_list_before_now_long: return + target_user_id = "" + if self.parameters.target_user_info: + target_user_id = self.parameters.target_user_info.get("user_id") or "" + read_history_prompt, unread_history_prompt = await self._build_s4u_chat_history_prompts( self.parameters.message_list_before_now_long, - self.parameters.target_user_info.get("user_id") if self.parameters.target_user_info else "", + target_user_id, self.parameters.sender, self.parameters.chat_id, ) @@ -434,11 +457,14 @@ class Prompt: # 创建临时生成器实例来使用其方法 temp_generator = await get_replyer(None, chat_id, request_type="prompt_building") - return await temp_generator.build_s4u_chat_history_prompts( - message_list_before_now, target_user_id, sender, chat_id - ) + if temp_generator: + return await temp_generator.build_s4u_chat_history_prompts( + message_list_before_now, target_user_id, sender, chat_id + ) + return "", "" except Exception as e: logger.error(f"构建S4U历史消息prompt失败: {e}") + return "", "" async def _build_expression_habits(self) -> dict[str, Any]: """构建表达习惯""" @@ -525,10 +551,10 @@ class Prompt: running_memories, instant_memory = await asyncio.gather(*memory_tasks, return_exceptions=True) # 处理可能的异常结果 - if isinstance(running_memories, Exception): + if isinstance(running_memories, BaseException): logger.warning(f"长期记忆查询失败: {running_memories}") running_memories = [] - if isinstance(instant_memory, Exception): + if isinstance(instant_memory, BaseException): logger.warning(f"即时记忆查询失败: {instant_memory}") instant_memory = None @@ -1042,8 +1068,24 @@ def create_prompt( async def create_prompt_async( template: str, name: str | None = None, parameters: PromptParameters | None = None, **kwargs ) -> Prompt: - """异步创建Prompt实例""" - prompt = create_prompt(template, name, parameters, **kwargs) + """异步创建Prompt实例，并动态注入插件内容""" + # 确保有可用的parameters实例 + final_params = parameters or PromptParameters(**kwargs) + + # 动态注入插件内容 + if name: + components_prefix = await prompt_component_manager.execute_components_for( + injection_point=name, params=final_params + ) + if components_prefix: + logger.debug(f"为'{name}'注入插件内容: \n{components_prefix}") + template = f"{components_prefix}\n\n{template}" + + # 使用可能已修改的模板创建实例 + prompt = create_prompt(template, name, final_params) + + # 如果在特定上下文中，则异步注册 if global_prompt_manager._context._current_context: await global_prompt_manager._context.register_async(prompt) + return prompt diff --git a/src/chat/utils/prompt_component_manager.py b/src/chat/utils/prompt_component_manager.py index 380e6dc77..58c7a097b 100644 --- a/src/chat/utils/prompt_component_manager.py +++ b/src/chat/utils/prompt_component_manager.py @@ -1,11 +1,11 @@ import asyncio -from collections import defaultdict from typing import Type from src.chat.utils.prompt_params import PromptParameters from src.common.logger import get_logger from src.plugin_system.base.base_prompt import BasePrompt -from src.plugin_system.base.component_types import PromptInfo +from src.plugin_system.base.component_types import ComponentType, PromptInfo +from src.plugin_system.core.component_registry import component_registry logger = get_logger("prompt_component_manager") @@ -15,48 +15,11 @@ class PromptComponentManager: 管理所有 `BasePrompt` 组件的单例类。 该管理器负责： - 1. 注册由插件定义的 `BasePrompt` 子类。 - 2. 根据注入点（目标Prompt名称）对它们进行分类存储。 + 1. 从 `component_registry` 中查询 `BasePrompt` 子类。 + 2. 根据注入点（目标Prompt名称）对它们进行筛选。 3. 提供一个接口，以便在构建核心Prompt时，能够获取并执行所有相关的组件。 """ - def __init__(self): - self._registry: dict[str, list[Type[BasePrompt]]] = defaultdict(list) - self._prompt_infos: dict[str, PromptInfo] = {} - - def register(self, component_class: Type[BasePrompt]): - """ - 注册一个 `BasePrompt` 组件类。 - - Args: - component_class: 要注册的 `BasePrompt` 子类。 - """ - if not issubclass(component_class, BasePrompt): - logger.warning(f"尝试注册一个非 BasePrompt 的类: {component_class.__name__}") - return - - try: - prompt_info = component_class.get_prompt_info() - if prompt_info.name in self._prompt_infos: - logger.warning(f"重复注册 Prompt 组件: {prompt_info.name}。将覆盖旧组件。") - - injection_points = prompt_info.injection_point - if isinstance(injection_points, str): - injection_points = [injection_points] - - if not injection_points or not all(injection_points): - logger.debug(f"Prompt 组件 '{prompt_info.name}' 未指定有效的 injection_point，将不会被自动注入。") - return - - for point in injection_points: - self._registry[point].append(component_class) - - self._prompt_infos[prompt_info.name] = prompt_info - logger.info(f"成功注册 Prompt 组件 '{prompt_info.name}' 到注入点: {injection_points}") - - except ValueError as e: - logger.error(f"注册 Prompt 组件失败 {component_class.__name__}: {e}") - def get_components_for(self, injection_point: str) -> list[Type[BasePrompt]]: """ 获取指定注入点的所有已注册组件类。 @@ -67,7 +30,29 @@ class PromptComponentManager: Returns: list[Type[BasePrompt]]: 与该注入点关联的组件类列表。 """ - return self._registry.get(injection_point, []) + # 从组件注册中心获取所有启用的Prompt组件 + enabled_prompts = component_registry.get_enabled_components_by_type(ComponentType.PROMPT) + + matching_components: list[Type[BasePrompt]] = [] + + for prompt_name, prompt_info in enabled_prompts.items(): + # 确保 prompt_info 是 PromptInfo 类型 + if not isinstance(prompt_info, PromptInfo): + continue + + # 获取注入点信息 + injection_points = prompt_info.injection_point + if isinstance(injection_points, str): + injection_points = [injection_points] + + # 检查当前注入点是否匹配 + if injection_point in injection_points: + # 获取组件类 + component_class = component_registry.get_component_class(prompt_name, ComponentType.PROMPT) + if component_class and issubclass(component_class, BasePrompt): + matching_components.append(component_class) + + return matching_components async def execute_components_for(self, injection_point: str, params: PromptParameters) -> str: """ @@ -85,12 +70,13 @@ class PromptComponentManager: return "" tasks = [] - from src.plugin_system.core.component_registry import component_registry - for component_class in component_classes: try: - prompt_info = self._prompt_infos.get(component_class.prompt_name) - if not prompt_info: + # 从注册中心获取组件信息 + prompt_info = component_registry.get_component_info( + component_class.prompt_name, ComponentType.PROMPT + ) + if not isinstance(prompt_info, PromptInfo): logger.warning(f"找不到 Prompt 组件 '{component_class.prompt_name}' 的信息，无法获取插件配置") plugin_config = {} else: diff --git a/src/plugins/built_in/affinity_flow_chatter/plan_filter.py b/src/plugins/built_in/affinity_flow_chatter/plan_filter.py index 275efddf3..13ac21cc5 100644 --- a/src/plugins/built_in/affinity_flow_chatter/plan_filter.py +++ b/src/plugins/built_in/affinity_flow_chatter/plan_filter.py @@ -155,87 +155,22 @@ class ChatterPlanFilter: identity_block = f"你的名字是{bot_name}{bot_nickname}，你{bot_core_personality}：" schedule_block = "" - # 优先检查是否被吵醒 - - angry_prompt_addition = "" - try: - from src.plugins.built_in.sleep_system.api import get_wakeup_manager - wakeup_mgr = get_wakeup_manager() - except ImportError: - logger.debug("无法导入睡眠系统API，将跳过相关检查。") - wakeup_mgr = None - - if wakeup_mgr: - - # 双重检查确保愤怒状态不会丢失 - # 检查1: 直接从 wakeup_manager 获取 - if wakeup_mgr.is_in_angry_state(): - angry_prompt_addition = wakeup_mgr.get_angry_prompt_addition() - - # 检查2: 如果上面没获取到，再从 mood_manager 确认 - if not angry_prompt_addition: - chat_mood_for_check = mood_manager.get_mood_by_chat_id(plan.chat_id) - if chat_mood_for_check.is_angry_from_wakeup: - angry_prompt_addition = global_config.sleep_system.angry_prompt - - if angry_prompt_addition: - schedule_block = angry_prompt_addition - elif global_config.planning_system.schedule_enable: + if global_config.planning_system.schedule_enable: if activity_info := schedule_manager.get_current_activity(): activity = activity_info.get("activity", "未知活动") schedule_block = f"你当前正在：{activity},但注意它与群聊的聊天无关。" mood_block = "" # 如果被吵醒，则心情也是愤怒的，不需要另外的情绪模块 - if not angry_prompt_addition and global_config.mood.enable_mood: + if global_config.mood.enable_mood: chat_mood = mood_manager.get_mood_by_chat_id(plan.chat_id) mood_block = f"你现在的心情是：{chat_mood.mood_state}" - if plan.mode == ChatMode.PROACTIVE: - long_term_memory_block = await self._get_long_term_memory_context() - - chat_content_block, message_id_list = await build_readable_messages_with_id( - messages=[msg.flatten() for msg in plan.chat_history], - timestamp_mode="normal", - truncate=False, - show_actions=False, - ) - - prompt_template = await global_prompt_manager.get_prompt_async("proactive_planner_prompt") - actions_before_now = await get_actions_by_timestamp_with_chat( - chat_id=plan.chat_id, - timestamp_start=time.time() - 3600, - timestamp_end=time.time(), - limit=5, - ) - actions_before_now_block = build_readable_actions(actions=actions_before_now) - actions_before_now_block = f"你刚刚选择并执行过的action是：\n{actions_before_now_block}" - - prompt = prompt_template.format( - time_block=time_block, - identity_block=identity_block, - schedule_block=schedule_block, - mood_block=mood_block, - long_term_memory_block=long_term_memory_block, - chat_content_block=chat_content_block or "最近没有聊天内容。", - actions_before_now_block=actions_before_now_block, - ) - return prompt, message_id_list - # 构建已读/未读历史消息 read_history_block, unread_history_block, message_id_list = await self._build_read_unread_history_blocks( plan ) - # 为了兼容性，保留原有的chat_content_block - chat_content_block, _ = await build_readable_messages_with_id( - messages=[msg.flatten() for msg in plan.chat_history], - timestamp_mode="normal", - read_mark=self.last_obs_time_mark, - truncate=True, - show_actions=True, - ) - actions_before_now = await get_actions_by_timestamp_with_chat( chat_id=plan.chat_id, timestamp_start=time.time() - 3600, From eb4a48d45ab36e4cdb13ac51c1b69911a6bfd12c Mon Sep 17 00:00:00 2001 From: minecraft1024a Date: Sun, 19 Oct 2025 13:52:28 +0800 Subject: [PATCH 21/24] =?UTF-8?q?fix(chatter):=20=E4=BF=AE=E5=A4=8D?= =?UTF-8?q?=E7=A7=81=E8=81=8A=E6=97=B6=E8=8E=B7=E5=8F=96=E7=94=A8=E6=88=B7?= =?UTF-8?q?=E6=98=B5=E7=A7=B0=E7=9A=84=E5=B1=9E=E6=80=A7=E9=94=99=E8=AF=AF?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 在私聊场景下，`plan.target_info` 是一个 `UserInfo` 对象，而不是字典。此前的代码使用字典方式 `get("person_name")` 访问属性，会导致 `AttributeError`。 本次修改将属性访问方式从 `plan.target_info.get("person_name")` 调整为 `plan.target_info.person_name`，以正确获取用户信息。同时，更新了相关注释，阐明了情绪模块的依赖关系，防止因配置关闭而引发错误。 --- src/plugins/built_in/affinity_flow_chatter/plan_filter.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/plugins/built_in/affinity_flow_chatter/plan_filter.py b/src/plugins/built_in/affinity_flow_chatter/plan_filter.py index 13ac21cc5..6b97c056b 100644 --- a/src/plugins/built_in/affinity_flow_chatter/plan_filter.py +++ b/src/plugins/built_in/affinity_flow_chatter/plan_filter.py @@ -161,7 +161,7 @@ class ChatterPlanFilter: schedule_block = f"你当前正在：{activity},但注意它与群聊的聊天无关。" mood_block = "" - # 如果被吵醒，则心情也是愤怒的，不需要另外的情绪模块 + # 需要情绪模块打开才能获得情绪,否则会引发报错 if global_config.mood.enable_mood: chat_mood = mood_manager.get_mood_by_chat_id(plan.chat_id) mood_block = f"你现在的心情是：{chat_mood.mood_state}" @@ -220,7 +220,7 @@ class ChatterPlanFilter: is_group_chat = plan.chat_type == ChatType.GROUP chat_context_description = "你现在正在一个群聊中" if not is_group_chat and plan.target_info: - chat_target_name = plan.target_info.get("person_name") or plan.target_info.get("user_nickname") or "对方" + chat_target_name = plan.target_info.person_name or plan.target_info.user_nickname or "对方" chat_context_description = f"你正在和 {chat_target_name} 私聊" action_options_block = await self._build_action_options(plan.available_actions) From b4ad2daff4dccb04a74a053f21974ef77a8e28bd Mon Sep 17 00:00:00 2001 From: minecraft1024a Date: Sun, 19 Oct 2025 14:01:51 +0800 Subject: [PATCH 22/24] =?UTF-8?q?fix(chatter):=20=E4=BF=AE=E5=A4=8D?= =?UTF-8?q?=E8=AE=A1=E5=88=92=E7=94=9F=E6=88=90=E5=92=8C=E5=90=8E=E5=8F=B0?= =?UTF-8?q?=E4=BB=BB=E5=8A=A1=E5=A4=84=E7=90=86=E4=B8=AD=E7=9A=84=E5=A4=9A?= =?UTF-8?q?=E9=A1=B9=E9=97=AE=E9=A2=98?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 此次更新包含对 `affinity_flow_chatter` 插件的多项修复和健壮性改进： 1. **计划生成器 (`plan_generator.py`)**: * 修复了 `target_info` 未能正确实例化为 `TargetPersonInfo` 对象的问题，现在可以确保类型安全。 * 增加了对未知聊天类型的处理，将其默认为私聊，增强了鲁棒性。 * 将获取聊天记录的上限从 `short_memory_length` 调整为更通用的 `max_context_size`。 2. **规划器 (`planner.py`)**: * 引入了后台任务管理机制，确保由 `_commit_interest_updates` 创建的异步任务能够被追踪。 * 增加了 `_handle_task_result` 回调函数，用于捕获和记录后台任务中可能出现的异常，防止任务静默失败并提高系统的可维护性。 --- .../affinity_flow_chatter/plan_generator.py | 16 +++++++++++++--- .../built_in/affinity_flow_chatter/planner.py | 16 +++++++++++++++- 2 files changed, 28 insertions(+), 4 deletions(-) diff --git a/src/plugins/built_in/affinity_flow_chatter/plan_generator.py b/src/plugins/built_in/affinity_flow_chatter/plan_generator.py index 193477273..498471ff7 100644 --- a/src/plugins/built_in/affinity_flow_chatter/plan_generator.py +++ b/src/plugins/built_in/affinity_flow_chatter/plan_generator.py @@ -9,7 +9,7 @@ from src.chat.utils.utils import get_chat_type_and_target_info from src.common.data_models.database_data_model import DatabaseMessages from src.common.data_models.info_data_model import Plan, TargetPersonInfo from src.config.config import global_config -from src.plugin_system.base.component_types import ActionInfo, ChatMode, ChatType +from src.plugin_system.base.component_types import ActionInfo, ChatMode, ChatType, ComponentType from src.plugin_system.core.component_registry import component_registry @@ -55,6 +55,11 @@ class ChatterPlanGenerator: try: # 获取聊天类型和目标信息 chat_type, target_info = await get_chat_type_and_target_info(self.chat_id) + if chat_type: + chat_type = ChatType.GROUP + else: + #遇到未知类型也当私聊处理 + chat_type = ChatType.PRIVATE # 获取可用动作列表 available_actions = await self._get_available_actions(chat_type, mode) @@ -62,12 +67,16 @@ class ChatterPlanGenerator: # 获取聊天历史记录 recent_messages = await self._get_recent_messages() + # 构建计划对象 + # 使用 target_info 字典创建 TargetPersonInfo 实例 + target_person_info = TargetPersonInfo(**target_info) if target_info else TargetPersonInfo() + # 构建计划对象 plan = Plan( chat_id=self.chat_id, chat_type=chat_type, mode=mode, - target_info=target_info, + target_info=target_person_info, available_actions=available_actions, chat_history=recent_messages, ) @@ -77,6 +86,7 @@ class ChatterPlanGenerator: except Exception: # 如果生成失败，返回一个基本的空计划 return Plan( + chat_type = ChatType.PRIVATE,#空计划默认当成私聊 chat_id=self.chat_id, mode=mode, target_info=TargetPersonInfo(), @@ -124,7 +134,7 @@ class ChatterPlanGenerator: try: # 获取最近的消息记录 raw_messages = await get_raw_msg_before_timestamp_with_chat( - chat_id=self.chat_id, timestamp=time.time(), limit=global_config.memory.short_memory_length + chat_id=self.chat_id, timestamp=time.time(), limit=global_config.chat.max_context_size ) # 转换为 DatabaseMessages 对象 diff --git a/src/plugins/built_in/affinity_flow_chatter/planner.py b/src/plugins/built_in/affinity_flow_chatter/planner.py index 703141d70..9be3235e9 100644 --- a/src/plugins/built_in/affinity_flow_chatter/planner.py +++ b/src/plugins/built_in/affinity_flow_chatter/planner.py @@ -70,6 +70,7 @@ class ChatterActionPlanner: "replies_generated": 0, "other_actions_executed": 0, } + self._background_tasks: set[asyncio.Task] = set() async def plan(self, context: "StreamContext | None" = None) -> tuple[list[dict[str, Any]], Any | None]: """ @@ -157,7 +158,9 @@ class ChatterActionPlanner: ) if interest_updates: - asyncio.create_task(self._commit_interest_updates(interest_updates)) + task = asyncio.create_task(self._commit_interest_updates(interest_updates)) + self._background_tasks.add(task) + task.add_done_callback(self._handle_task_result) # 检查兴趣度是否达到非回复动作阈值 non_reply_action_interest_threshold = global_config.affinity_flow.non_reply_action_interest_threshold @@ -266,6 +269,17 @@ class ChatterActionPlanner: return final_actions_dict, final_target_message_dict + def _handle_task_result(self, task: asyncio.Task) -> None: + """处理后台任务的结果，记录异常。""" + try: + task.result() + except asyncio.CancelledError: + pass # 任务被取消是正常现象 + except Exception as e: + logger.error(f"后台任务执行失败: {e}", exc_info=True) + finally: + self._background_tasks.discard(task) + def get_planner_stats(self) -> dict[str, Any]: """获取规划器统计""" return self.planner_stats.copy() From 88a4b015567ea56731db98389c3cacea6c0e10c9 Mon Sep 17 00:00:00 2001 From: tt-P607 <68868379+tt-P607@users.noreply.github.com> Date: Sun, 19 Oct 2025 14:11:45 +0800 Subject: [PATCH 23/24] =?UTF-8?q?=E5=AD=A9=E5=AD=90=E4=BB=AC=EF=BC=8C?= =?UTF-8?q?=E7=9F=A5=E8=AF=86=E5=BA=93=E7=9A=84=E9=AB=98=E5=B9=B6=E5=8F=91?= =?UTF-8?q?=E5=A4=AA=E6=81=90=E6=80=96=E4=BA=86?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- scripts/lpmm_learning_tool.py | 2 +- src/chat/knowledge/embedding_store.py | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/scripts/lpmm_learning_tool.py b/scripts/lpmm_learning_tool.py index dc9bda57b..1b7ebb2b1 100644 --- a/scripts/lpmm_learning_tool.py +++ b/scripts/lpmm_learning_tool.py @@ -204,7 +204,7 @@ def extract_information(paragraphs_dict, model_set): failed_hashes, open_ie_docs = [], [] - with ThreadPoolExecutor(max_workers=5) as executor: + with ThreadPoolExecutor(max_workers=3) as executor: f_to_hash = { executor.submit(extract_info_sync, p_hash, p, model_set): p_hash for p_hash, p in paragraphs_dict.items() diff --git a/src/chat/knowledge/embedding_store.py b/src/chat/knowledge/embedding_store.py index 2c1056bb1..dd9251230 100644 --- a/src/chat/knowledge/embedding_store.py +++ b/src/chat/knowledge/embedding_store.py @@ -30,8 +30,8 @@ from .utils.hash import get_sha256 install(extra_lines=3) # 多线程embedding配置常量 -DEFAULT_MAX_WORKERS = 10 # 默认最大线程数 -DEFAULT_CHUNK_SIZE = 10 # 默认每个线程处理的数据块大小 +DEFAULT_MAX_WORKERS = 3 # 默认最大线程数 +DEFAULT_CHUNK_SIZE = 5 # 默认每个线程处理的数据块大小 MIN_CHUNK_SIZE = 1 # 最小分块大小 MAX_CHUNK_SIZE = 50 # 最大分块大小 MIN_WORKERS = 1 # 最小线程数 From 3a8dc433ade0148145ab4fa7b7a7c42588bfe147 Mon Sep 17 00:00:00 2001 From: Eric-Terminal <121368508+Eric-Terminal@users.noreply.github.com> Date: Sun, 19 Oct 2025 14:25:37 +0800 Subject: [PATCH 24/24] =?UTF-8?q?=E4=BF=AE=E5=A4=8D(=E8=81=8A=E5=A4=A9):?= =?UTF-8?q?=20=E4=B8=BA=20message=5Fprocess=20=E5=A2=9E=E5=8A=A0=20message?= =?UTF-8?q?=5Finfo=20=E9=98=B2=E5=BE=A1=E6=80=A7=E6=A3=80=E6=9F=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit message_process 方法在收到没有 'message_info' 字段的 payload（例如来自 Napcat 的握手/心跳控制消息）时，会因 KeyError 而失败。 此更改增加了防御性检查，在处理前验证 'message_info' 的存在和类型。如果缺失，则记录并跳过该 payload，防止主处理循环崩溃。 --- src/chat/message_receive/bot.py | 26 +++++++++++++++++++------- 1 file changed, 19 insertions(+), 7 deletions(-) diff --git a/src/chat/message_receive/bot.py b/src/chat/message_receive/bot.py index 609585d98..fe9896445 100644 --- a/src/chat/message_receive/bot.py +++ b/src/chat/message_receive/bot.py @@ -379,19 +379,31 @@ class ChatBot: # 确保所有任务已启动 await self._ensure_started() - platform = message_data["message_info"].get("platform") + # 控制握手等消息可能缺少 message_info，这里直接跳过避免 KeyError + if not isinstance(message_data, dict): + logger.warning(f"收到无法解析的消息类型: {type(message_data)}，已跳过") + return + message_info = message_data.get("message_info") + if not isinstance(message_info, dict): + logger.debug( + "收到缺少 message_info 的消息，已跳过。可用字段: %s", + ", ".join(message_data.keys()), + ) + return + + platform = message_info.get("platform") if platform == "amaidesu_default": await self.do_s4u(message_data) return - if message_data["message_info"].get("group_info") is not None: - message_data["message_info"]["group_info"]["group_id"] = str( - message_data["message_info"]["group_info"]["group_id"] + if message_info.get("group_info") is not None: + message_info["group_info"]["group_id"] = str( + message_info["group_info"]["group_id"] ) - if message_data["message_info"].get("user_info") is not None: - message_data["message_info"]["user_info"]["user_id"] = str( - message_data["message_info"]["user_info"]["user_id"] + if message_info.get("user_info") is not None: + message_info["user_info"]["user_id"] = str( + message_info["user_info"]["user_id"] ) # print(message_data) # logger.debug(str(message_data))