071a160da9
refactor(prompt): 将日志级别从 info 调整为 debug fix(mem_monitor): 启用内存监控并调整监控间隔至 2400s feat(llm_models): 添加系统提示支持，优化请求策略 refactor(main): 更新内存监控启动日志信息 refactor(user_profile_tool): 将用户画像更新日志级别调整为 debug refactor(exa_engine): 移除搜索引擎请求中的高亮片段选项 feat(system_prompt): 添加系统提示内容
262 lines
9.8 KiB
Python
262 lines
9.8 KiB
Python
import random
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from typing import Any, ClassVar
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from src.common.logger import get_logger
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from src.common.security import VerifiedDep
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# 修正导入路径，让Pylance不再抱怨
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from src.plugin_system import (
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BaseAction,
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BaseEventHandler,
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BasePlugin,
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BasePrompt,
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BaseTool,
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ChatType,
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CommandArgs,
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ComponentInfo,
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ConfigField,
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EventType,
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PlusCommand,
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ToolParamType,
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register_plugin,
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)
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from src.plugin_system.base.base_event import HandlerResult
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from src.plugin_system.base.base_http_component import BaseRouterComponent
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from src.plugin_system.base.component_types import InjectionRule, InjectionType
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logger = get_logger("hello_world_plugin")
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class StartupMessageHandler(BaseEventHandler):
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"""启动时打印消息的事件处理器。"""
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handler_name = "hello_world_startup_handler"
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handler_description = "在机器人启动时打印一条日志。"
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init_subscribe: ClassVar[list[EventType]] = [EventType.ON_START]
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async def execute(self, params: dict) -> HandlerResult:
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logger.info("🎉 Hello World 插件已启动，准备就绪！")
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return HandlerResult(success=True, continue_process=True)
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class GetSystemInfoTool(BaseTool):
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"""一个提供系统信息的示例工具。"""
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name = "get_system_info"
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description = "获取当前系统的模拟版本和状态信息。"
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available_for_llm = True
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parameters: ClassVar = [
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("query", ToolParamType.STRING, "要搜索的关键词或问题。", True, None),
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("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),
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(
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"time_range",
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ToolParamType.STRING,
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"指定搜索的时间范围，可以是 'any', 'week', 'month'。默认为 'any'。",
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False,
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["any", "week", "month"],
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),
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] # type: ignore
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async def execute(self, function_args: dict[str, Any]) -> dict[str, Any]:
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return {"name": self.name, "content": "系统版本: 1.0.1, 状态: 运行正常"}
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class HelloCommand(PlusCommand):
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"""一个简单的 /hello 命令，使用配置文件中的问候语。"""
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command_name = "hello"
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command_description = "向机器人发送一个简单的问候。"
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command_aliases: ClassVar[list[str]] = ["hi", "你好"]
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chat_type_allow = ChatType.ALL
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async def execute(self, args: CommandArgs) -> tuple[bool, str | None, bool]:
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greeting = str(self.get_config("greeting.message", "Hello, World! 我是一个由 MoFox_Bot 驱动的插件。"))
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await self.send_text(greeting)
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return True, "成功发送问候", True
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# ==================================================================================
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# 新的激活方式示例 Actions
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# ==================================================================================
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class KeywordActivationExampleAction(BaseAction):
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"""关键词激活示例
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此示例展示如何使用关键词匹配来激活 Action。
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"""
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action_name = "keyword_example"
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action_description = "当检测到特定关键词时发送回应"
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action_require: ClassVar[list[str]] = ["用户提到了问候语"]
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associated_types: ClassVar[list[str]] = ["text"]
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async def go_activate(self, chat_content: str = "", llm_judge_model=None) -> bool:
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"""关键词激活：检测到"你好"、"hello"或"hi"时激活"""
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return await self._keyword_match(
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chat_content,
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keywords=["你好", "hello", "hi", "嗨"],
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case_sensitive=False # 不区分大小写
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)
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async def execute(self) -> tuple[bool, str]:
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await self.send_text("检测到问候语，我也向你问好！👋")
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return True, "发送了问候回应"
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class LLMJudgeExampleAction(BaseAction):
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"""LLM 判断激活示例
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此示例展示如何使用 LLM 来智能判断是否激活 Action。
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"""
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action_name = "llm_judge_example"
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action_description = "当用户表达情绪低落时提供安慰"
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action_require: ClassVar[list[str]] = ["用户情绪低落", "需要情感支持"]
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associated_types: ClassVar[list[str]] = ["text"]
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async def go_activate(self, chat_content: str = "", llm_judge_model=None) -> bool:
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"""LLM 判断激活：判断用户是否情绪低落"""
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return await self._llm_judge_activation(
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judge_prompt="""
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判断用户是否表达了以下情绪或需求：
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1. 感到难过、沮丧或失落
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2. 表达了负面情绪
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3. 需要安慰或鼓励
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如果用户表达了上述情绪或需求，回答"是"，否则回答"否"。
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""",
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llm_judge_model=llm_judge_model
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)
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async def execute(self) -> tuple[bool, str]:
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await self.send_text("看起来你心情不太好，希望能让你开心一点！🤗💕")
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return True, "发送了安慰消息"
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class CombinedActivationExampleAction(BaseAction):
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"""组合激活条件示例
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此示例展示如何组合多种激活条件。
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"""
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action_name = "combined_example"
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action_description = "展示如何组合多种激活条件"
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action_require: ClassVar[list[str]] = ["展示灵活的激活逻辑"]
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associated_types: ClassVar[list[str]] = ["text"]
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async def go_activate(self, chat_content: str = "", llm_judge_model=None) -> bool:
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"""组合激活：随机 20% 概率，或者匹配特定关键词"""
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# 先尝试随机激活
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if await self._random_activation(0.2):
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return True
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# 如果随机未激活，尝试关键词匹配
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if await self._keyword_match(chat_content, ["表情", "emoji", "😊"], case_sensitive=False):
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return True
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# 都不满足则不激活
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return False
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async def execute(self) -> tuple[bool, str]:
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await self.send_text("这是一个组合激活条件的示例！✨")
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return True, "发送了示例消息"
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class RandomEmojiAction(BaseAction):
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"""一个随机发送表情的动作。
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此示例展示了如何使用新的 go_activate() 方法来实现随机激活。
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"""
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action_name = "random_emoji"
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action_description = "随机发送一个表情符号，增加聊天的趣味性。"
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action_require: ClassVar[list[str]] = ["当对话气氛轻松时", "可以用来回应简单的情感表达"]
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associated_types: ClassVar[list[str]] = ["text"]
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async def go_activate(self, llm_judge_model=None) -> bool:
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"""使用新的激活方式：10% 的概率激活
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注意：不需要传入 chat_content，会自动从实例属性中获取
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"""
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return await self._random_activation(0.1)
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async def execute(self) -> tuple[bool, str]:
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emojis = ["😊", "😂", "👍", "🎉", "🤔", "🤖"]
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await self.send_text(random.choice(emojis))
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return True, "成功发送了一个随机表情"
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class WeatherPrompt(BasePrompt):
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"""一个简单的Prompt组件，用于向Planner注入天气信息。"""
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prompt_name = "weather_info_prompt"
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prompt_description = "向Planner注入当前天气信息，以丰富对话上下文。"
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injection_rules: ClassVar[list[InjectionRule]] = [InjectionRule(target_prompt="planner_prompt", injection_type=InjectionType.REPLACE, target_content="## 可用动作列表")]
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async def execute(self) -> str:
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# 在实际应用中，这里可以调用天气API
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# 为了演示，我们返回一个固定的天气信息
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logger.info(self.target_prompt_name)
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return "当前天气：晴朗，温度25°C。"
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class HelloWorldRouter(BaseRouterComponent):
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"""一个简单的HTTP端点示例。"""
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component_name = "hello_world_router"
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component_description = "提供一个简单的 /greet HTTP GET 端点。"
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def register_endpoints(self) -> None:
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@self.router.get("/greet", summary="返回一个问候消息")
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def greet(_=VerifiedDep):
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"""这个端点返回一个固定的问候语。"""
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return {"message": "Hello from your new API endpoint!"}
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@register_plugin
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class HelloWorldPlugin(BasePlugin):
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"""一个包含四大核心组件和高级配置功能的入门示例插件。"""
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plugin_name = "hello_world_plugin"
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enable_plugin: bool = False
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dependencies: ClassVar = []
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python_dependencies: ClassVar = []
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config_file_name = "config.toml"
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config_schema: ClassVar = {
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"meta": {
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"config_version": ConfigField(type=int, default=1, description="配置文件版本，请勿手动修改。"),
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},
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"greeting": {
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"message": ConfigField(
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type=str, default="这是来自配置文件的问候！👋", description="HelloCommand 使用的问候语。"
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),
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},
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"components": {
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"hello_command_enabled": ConfigField(type=bool, default=True, description="是否启用 /hello 命令。"),
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"random_emoji_action_enabled": ConfigField(type=bool, default=True, description="是否启用随机表情动作。"),
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},
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}
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def get_plugin_components(self) -> list[tuple[ComponentInfo, type]]:
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"""根据配置文件动态注册插件的功能组件。"""
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components: list[tuple[ComponentInfo, type]] = []
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components.append((StartupMessageHandler.get_handler_info(), StartupMessageHandler))
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components.append((GetSystemInfoTool.get_tool_info(), GetSystemInfoTool))
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if self.get_config("components.hello_command_enabled", True):
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components.append((HelloCommand.get_plus_command_info(), HelloCommand))
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if self.get_config("components.random_emoji_action_enabled", True):
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components.append((RandomEmojiAction.get_action_info(), RandomEmojiAction))
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# 注册新的Prompt组件
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components.append((WeatherPrompt.get_prompt_info(), WeatherPrompt))
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# 注册新的Router组件
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components.append((HelloWorldRouter.get_router_info(), HelloWorldRouter))
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return components
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