ref:修改了插件api的文件结构
This commit is contained in:
SengokuCola
@@ -4,29 +4,29 @@ from src.chat.actions.base_action import BaseAction, register_action, ActionActi
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from src.chat.heart_flow.observation.chatting_observation import ChattingObservation
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from src.chat.focus_chat.hfc_utils import create_empty_anchor_message
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from src.common.logger_manager import get_logger
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from src.llm_models.utils_model import LLMRequest
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from src.person_info.person_info import person_info_manager
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from abc import abstractmethod
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from src.config.config import global_config
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import os
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import inspect
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import toml # 导入 toml 库
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from src.common.database.database_model import ActionRecords
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from src.common.database.database import db
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from peewee import Model, DoesNotExist
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import json
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import time
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from abc import abstractmethod
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# 导入拆分后的API模块
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from src.chat.actions.plugin_api.message_api import MessageAPI
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from src.chat.actions.plugin_api.llm_api import LLMAPI
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from src.chat.actions.plugin_api.database_api import DatabaseAPI
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from src.chat.actions.plugin_api.config_api import ConfigAPI
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from src.chat.actions.plugin_api.utils_api import UtilsAPI
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# 以下为类型注解需要
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from src.chat.message_receive.chat_stream import ChatStream
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from src.chat.focus_chat.expressors.default_expressor import DefaultExpressor
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from src.chat.focus_chat.replyer.default_replyer import DefaultReplyer
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from src.chat.focus_chat.info.obs_info import ObsInfo
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from src.chat.message_receive.chat_stream import ChatStream # noqa
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from src.chat.focus_chat.expressors.default_expressor import DefaultExpressor # noqa
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from src.chat.focus_chat.replyer.default_replyer import DefaultReplyer # noqa
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from src.chat.focus_chat.info.obs_info import ObsInfo # noqa
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logger = get_logger("plugin_action")
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class PluginAction(BaseAction):
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class PluginAction(BaseAction, MessageAPI, LLMAPI, DatabaseAPI, ConfigAPI, UtilsAPI):
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"""插件动作基类
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封装了主程序内部依赖，提供简化的API接口给插件开发者
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@@ -118,284 +118,6 @@ class PluginAction(BaseAction):
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)
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self.config = {} # 出错时确保 config 是一个空字典
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def get_global_config(self, key: str, default: Any = None) -> Any:
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"""
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安全地从全局配置中获取一个值。
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插件应使用此方法读取全局配置，以保证只读和隔离性。
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"""
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return global_config.get(key, default)
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async def get_user_id_by_person_name(self, person_name: str) -> Tuple[str, str]:
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"""根据用户名获取用户ID"""
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person_id = person_info_manager.get_person_id_by_person_name(person_name)
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user_id = await person_info_manager.get_value(person_id, "user_id")
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platform = await person_info_manager.get_value(person_id, "platform")
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return platform, user_id
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# 提供简化的API方法
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async def send_message(self, type: str, data: str, target: Optional[str] = "", display_message: str = "") -> bool:
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"""发送消息的简化方法
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Args:
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text: 要发送的消息文本
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target: 目标消息（可选）
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Returns:
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bool: 是否发送成功
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"""
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try:
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expressor: DefaultExpressor = self._services.get("expressor")
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chat_stream: ChatStream = self._services.get("chat_stream")
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if not expressor or not chat_stream:
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logger.error(f"{self.log_prefix} 无法发送消息：缺少必要的内部服务")
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return False
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# 构造简化的动作数据
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# reply_data = {"text": text, "target": target or "", "emojis": []}
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# 获取锚定消息（如果有）
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observations = self._services.get("observations", [])
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if len(observations) > 0:
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chatting_observation: ChattingObservation = next(
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obs for obs in observations if isinstance(obs, ChattingObservation)
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)
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anchor_message = chatting_observation.search_message_by_text(target)
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else:
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anchor_message = None
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# 如果没有找到锚点消息，创建一个占位符
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if not anchor_message:
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logger.info(f"{self.log_prefix} 未找到锚点消息，创建占位符")
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anchor_message = await create_empty_anchor_message(
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chat_stream.platform, chat_stream.group_info, chat_stream
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)
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else:
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anchor_message.update_chat_stream(chat_stream)
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response_set = [
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(type, data),
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]
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# 调用内部方法发送消息
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success = await expressor.send_response_messages(
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anchor_message=anchor_message,
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response_set=response_set,
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display_message=display_message,
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)
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return success
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except Exception as e:
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logger.error(f"{self.log_prefix} 发送消息时出错: {e}")
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traceback.print_exc()
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return False
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async def send_message_by_expressor(self, text: str, target: Optional[str] = None) -> bool:
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"""发送消息的简化方法
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Args:
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text: 要发送的消息文本
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target: 目标消息（可选）
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Returns:
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bool: 是否发送成功
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"""
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expressor: DefaultExpressor = self._services.get("expressor")
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chat_stream: ChatStream = self._services.get("chat_stream")
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if not expressor or not chat_stream:
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logger.error(f"{self.log_prefix} 无法发送消息：缺少必要的内部服务")
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return False
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# 构造简化的动作数据
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reply_data = {"text": text, "target": target or "", "emojis": []}
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# 获取锚定消息（如果有）
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observations = self._services.get("observations", [])
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# 查找 ChattingObservation 实例
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chatting_observation = None
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for obs in observations:
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if isinstance(obs, ChattingObservation):
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chatting_observation = obs
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break
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if not chatting_observation:
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logger.warning(f"{self.log_prefix} 未找到 ChattingObservation 实例，创建占位符")
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anchor_message = await create_empty_anchor_message(
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chat_stream.platform, chat_stream.group_info, chat_stream
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)
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else:
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anchor_message = chatting_observation.search_message_by_text(reply_data["target"])
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if not anchor_message:
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logger.info(f"{self.log_prefix} 未找到锚点消息，创建占位符")
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anchor_message = await create_empty_anchor_message(
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chat_stream.platform, chat_stream.group_info, chat_stream
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)
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else:
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anchor_message.update_chat_stream(chat_stream)
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# 调用内部方法发送消息
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success, _ = await expressor.deal_reply(
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cycle_timers=self.cycle_timers,
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action_data=reply_data,
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anchor_message=anchor_message,
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reasoning=self.reasoning,
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thinking_id=self.thinking_id,
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)
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return success
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async def send_message_by_replyer(self, target: Optional[str] = None, extra_info_block: Optional[str] = None) -> bool:
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"""通过 replyer 发送消息的简化方法
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Args:
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text: 要发送的消息文本
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target: 目标消息（可选）
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Returns:
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bool: 是否发送成功
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"""
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replyer: DefaultReplyer = self._services.get("replyer")
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chat_stream: ChatStream = self._services.get("chat_stream")
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if not replyer or not chat_stream:
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logger.error(f"{self.log_prefix} 无法发送消息：缺少必要的内部服务")
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return False
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# 构造简化的动作数据
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reply_data = {"target": target or "", "extra_info_block": extra_info_block}
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# 获取锚定消息（如果有）
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observations = self._services.get("observations", [])
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# 查找 ChattingObservation 实例
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chatting_observation = None
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for obs in observations:
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if isinstance(obs, ChattingObservation):
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chatting_observation = obs
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break
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if not chatting_observation:
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logger.warning(f"{self.log_prefix} 未找到 ChattingObservation 实例，创建占位符")
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anchor_message = await create_empty_anchor_message(
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chat_stream.platform, chat_stream.group_info, chat_stream
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)
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else:
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anchor_message = chatting_observation.search_message_by_text(reply_data["target"])
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if not anchor_message:
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logger.info(f"{self.log_prefix} 未找到锚点消息，创建占位符")
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anchor_message = await create_empty_anchor_message(
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chat_stream.platform, chat_stream.group_info, chat_stream
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)
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else:
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anchor_message.update_chat_stream(chat_stream)
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# 调用内部方法发送消息
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success, _ = await replyer.deal_reply(
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cycle_timers=self.cycle_timers,
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action_data=reply_data,
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anchor_message=anchor_message,
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reasoning=self.reasoning,
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thinking_id=self.thinking_id,
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)
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return success
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def get_chat_type(self) -> str:
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"""获取当前聊天类型
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Returns:
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str: 聊天类型 ("group" 或 "private")
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"""
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chat_stream: ChatStream = self._services.get("chat_stream")
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if chat_stream and hasattr(chat_stream, "group_info"):
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return "group" if chat_stream.group_info else "private"
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return "unknown"
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def get_recent_messages(self, count: int = 5) -> List[Dict[str, Any]]:
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"""获取最近的消息
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Args:
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count: 要获取的消息数量
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Returns:
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List[Dict]: 消息列表，每个消息包含发送者、内容等信息
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"""
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messages = []
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observations = self._services.get("observations", [])
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if observations and len(observations) > 0:
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obs = observations[0]
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if hasattr(obs, "get_talking_message"):
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obs: ObsInfo
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raw_messages = obs.get_talking_message()
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# 转换为简化格式
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for msg in raw_messages[-count:]:
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simple_msg = {
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"sender": msg.get("sender", "未知"),
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"content": msg.get("content", ""),
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"timestamp": msg.get("timestamp", 0),
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}
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messages.append(simple_msg)
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return messages
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def get_available_models(self) -> Dict[str, Any]:
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"""获取所有可用的模型配置
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Returns:
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Dict[str, Any]: 模型配置字典，key为模型名称，value为模型配置
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"""
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if not hasattr(global_config, "model"):
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logger.error(f"{self.log_prefix} 无法获取模型列表：全局配置中未找到 model 配置")
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return {}
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models = global_config.model
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return models
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async def generate_with_model(
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self,
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prompt: str,
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model_config: Dict[str, Any],
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request_type: str = "plugin.generate",
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**kwargs
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) -> Tuple[bool, str]:
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"""使用指定模型生成内容
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Args:
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prompt: 提示词
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model_config: 模型配置（从 get_available_models 获取的模型配置）
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temperature: 温度参数，控制随机性 (0-1)
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max_tokens: 最大生成token数
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request_type: 请求类型标识
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**kwargs: 其他模型特定参数
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Returns:
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Tuple[bool, str]: (是否成功, 生成的内容或错误信息)
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"""
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try:
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logger.info(f"prompt: {prompt}")
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llm_request = LLMRequest(
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model=model_config,
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request_type=request_type,
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**kwargs
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)
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response,(resoning , model_name) = await llm_request.generate_response_async(prompt)
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return True, response, resoning, model_name
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except Exception as e:
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error_msg = f"生成内容时出错: {str(e)}"
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logger.error(f"{self.log_prefix} {error_msg}")
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return False, error_msg
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@abstractmethod
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async def process(self) -> Tuple[bool, str]:
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"""插件处理逻辑，子类必须实现此方法
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@@ -412,368 +134,3 @@ class PluginAction(BaseAction):
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Tuple[bool, str]: (是否执行成功, 回复文本)
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"""
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return await self.process()
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async def store_action_info(self, action_build_into_prompt: bool = False, action_prompt_display: str = "", action_done: bool = True) -> None:
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"""存储action执行信息到数据库
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Args:
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action_build_into_prompt: 是否构建到提示中
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action_prompt_display: 动作显示内容
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"""
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try:
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chat_stream: ChatStream = self._services.get("chat_stream")
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if not chat_stream:
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logger.error(f"{self.log_prefix} 无法存储action信息：缺少chat_stream服务")
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return
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action_time = time.time()
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action_id = f"{action_time}_{self.thinking_id}"
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ActionRecords.create(
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action_id=action_id,
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time=action_time,
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action_name=self.__class__.__name__,
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action_data=str(self.action_data),
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action_done=action_done,
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action_build_into_prompt=action_build_into_prompt,
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action_prompt_display=action_prompt_display,
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chat_id=chat_stream.stream_id,
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chat_info_stream_id=chat_stream.stream_id,
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chat_info_platform=chat_stream.platform,
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user_id=chat_stream.user_info.user_id if chat_stream.user_info else "",
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user_nickname=chat_stream.user_info.user_nickname if chat_stream.user_info else "",
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user_cardname=chat_stream.user_info.user_cardname if chat_stream.user_info else ""
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)
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logger.debug(f"{self.log_prefix} 已存储action信息: {action_prompt_display}")
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except Exception as e:
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logger.error(f"{self.log_prefix} 存储action信息时出错: {e}")
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traceback.print_exc()
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async def db_query(
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self,
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model_class: Type[Model],
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query_type: str = "get",
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filters: Dict[str, Any] = None,
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data: Dict[str, Any] = None,
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limit: int = None,
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order_by: List[str] = None,
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single_result: bool = False
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) -> Union[List[Dict[str, Any]], Dict[str, Any], None]:
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"""执行数据库查询操作
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这个方法提供了一个通用接口来执行数据库操作，包括查询、创建、更新和删除记录。
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Args:
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model_class: Peewee 模型类，例如 ActionRecords, Messages 等
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query_type: 查询类型，可选值: "get", "create", "update", "delete", "count"
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filters: 过滤条件字典，键为字段名，值为要匹配的值
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data: 用于创建或更新的数据字典
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limit: 限制结果数量
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order_by: 排序字段列表，使用字段名，前缀'-'表示降序
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single_result: 是否只返回单个结果
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Returns:
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根据查询类型返回不同的结果:
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- "get": 返回查询结果列表或单个结果（如果 single_result=True）
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- "create": 返回创建的记录
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- "update": 返回受影响的行数
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- "delete": 返回受影响的行数
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- "count": 返回记录数量
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示例:
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# 查询最近10条消息
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messages = await self.db_query(
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Messages,
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query_type="get",
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filters={"chat_id": chat_stream.stream_id},
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limit=10,
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order_by=["-time"]
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)
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# 创建一条记录
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new_record = await self.db_query(
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ActionRecords,
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query_type="create",
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data={"action_id": "123", "time": time.time(), "action_name": "TestAction"}
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)
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# 更新记录
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updated_count = await self.db_query(
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ActionRecords,
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query_type="update",
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filters={"action_id": "123"},
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data={"action_done": True}
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)
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# 删除记录
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deleted_count = await self.db_query(
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ActionRecords,
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query_type="delete",
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filters={"action_id": "123"}
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)
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# 计数
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count = await self.db_query(
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Messages,
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query_type="count",
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filters={"chat_id": chat_stream.stream_id}
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)
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"""
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try:
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||||
# 构建基本查询
|
||||
if query_type in ["get", "update", "delete", "count"]:
|
||||
query = model_class.select()
|
||||
|
||||
# 应用过滤条件
|
||||
if filters:
|
||||
for field, value in filters.items():
|
||||
query = query.where(getattr(model_class, field) == value)
|
||||
|
||||
# 执行查询
|
||||
if query_type == "get":
|
||||
# 应用排序
|
||||
if order_by:
|
||||
for field in order_by:
|
||||
if field.startswith("-"):
|
||||
query = query.order_by(getattr(model_class, field[1:]).desc())
|
||||
else:
|
||||
query = query.order_by(getattr(model_class, field))
|
||||
|
||||
# 应用限制
|
||||
if limit:
|
||||
query = query.limit(limit)
|
||||
|
||||
# 执行查询
|
||||
results = list(query.dicts())
|
||||
|
||||
# 返回结果
|
||||
if single_result:
|
||||
return results[0] if results else None
|
||||
return results
|
||||
|
||||
elif query_type == "create":
|
||||
if not data:
|
||||
raise ValueError("创建记录需要提供data参数")
|
||||
|
||||
# 创建记录
|
||||
record = model_class.create(**data)
|
||||
# 返回创建的记录
|
||||
return model_class.select().where(model_class.id == record.id).dicts().get()
|
||||
|
||||
elif query_type == "update":
|
||||
if not data:
|
||||
raise ValueError("更新记录需要提供data参数")
|
||||
|
||||
# 更新记录
|
||||
return query.update(**data).execute()
|
||||
|
||||
elif query_type == "delete":
|
||||
# 删除记录
|
||||
return query.delete().execute()
|
||||
|
||||
elif query_type == "count":
|
||||
# 计数
|
||||
return query.count()
|
||||
|
||||
else:
|
||||
raise ValueError(f"不支持的查询类型: {query_type}")
|
||||
|
||||
except DoesNotExist:
|
||||
# 记录不存在
|
||||
if query_type == "get" and single_result:
|
||||
return None
|
||||
return []
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"{self.log_prefix} 数据库操作出错: {e}")
|
||||
traceback.print_exc()
|
||||
|
||||
# 根据查询类型返回合适的默认值
|
||||
if query_type == "get":
|
||||
return None if single_result else []
|
||||
elif query_type in ["create", "update", "delete", "count"]:
|
||||
return None
|
||||
|
||||
async def db_raw_query(
|
||||
self,
|
||||
sql: str,
|
||||
params: List[Any] = None,
|
||||
fetch_results: bool = True
|
||||
) -> Union[List[Dict[str, Any]], int, None]:
|
||||
"""执行原始SQL查询
|
||||
|
||||
警告: 使用此方法需要小心，确保SQL语句已正确构造以避免SQL注入风险。
|
||||
|
||||
Args:
|
||||
sql: 原始SQL查询字符串
|
||||
params: 查询参数列表，用于替换SQL中的占位符
|
||||
fetch_results: 是否获取查询结果，对于SELECT查询设为True，对于
|
||||
UPDATE/INSERT/DELETE等操作设为False
|
||||
|
||||
Returns:
|
||||
如果fetch_results为True，返回查询结果列表；
|
||||
如果fetch_results为False，返回受影响的行数；
|
||||
如果出错，返回None
|
||||
"""
|
||||
try:
|
||||
cursor = db.execute_sql(sql, params or [])
|
||||
|
||||
if fetch_results:
|
||||
# 获取列名
|
||||
columns = [col[0] for col in cursor.description]
|
||||
|
||||
# 构建结果字典列表
|
||||
results = []
|
||||
for row in cursor.fetchall():
|
||||
results.append(dict(zip(columns, row)))
|
||||
|
||||
return results
|
||||
else:
|
||||
# 返回受影响的行数
|
||||
return cursor.rowcount
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"{self.log_prefix} 执行原始SQL查询出错: {e}")
|
||||
traceback.print_exc()
|
||||
return None
|
||||
|
||||
async def db_save(
|
||||
self,
|
||||
model_class: Type[Model],
|
||||
data: Dict[str, Any],
|
||||
key_field: str = None,
|
||||
key_value: Any = None
|
||||
) -> Union[Dict[str, Any], None]:
|
||||
"""保存数据到数据库（创建或更新）
|
||||
|
||||
如果提供了key_field和key_value，会先尝试查找匹配的记录进行更新；
|
||||
如果没有找到匹配记录，或未提供key_field和key_value，则创建新记录。
|
||||
|
||||
Args:
|
||||
model_class: Peewee模型类，如ActionRecords, Messages等
|
||||
data: 要保存的数据字典
|
||||
key_field: 用于查找现有记录的字段名，例如"action_id"
|
||||
key_value: 用于查找现有记录的字段值
|
||||
|
||||
Returns:
|
||||
Dict[str, Any]: 保存后的记录数据
|
||||
None: 如果操作失败
|
||||
|
||||
示例:
|
||||
# 创建或更新一条记录
|
||||
record = await self.db_save(
|
||||
ActionRecords,
|
||||
{
|
||||
"action_id": "123",
|
||||
"time": time.time(),
|
||||
"action_name": "TestAction",
|
||||
"action_done": True
|
||||
},
|
||||
key_field="action_id",
|
||||
key_value="123"
|
||||
)
|
||||
"""
|
||||
try:
|
||||
# 如果提供了key_field和key_value，尝试更新现有记录
|
||||
if key_field and key_value is not None:
|
||||
# 查找现有记录
|
||||
existing_records = list(model_class.select().where(
|
||||
getattr(model_class, key_field) == key_value
|
||||
).limit(1))
|
||||
|
||||
if existing_records:
|
||||
# 更新现有记录
|
||||
existing_record = existing_records[0]
|
||||
for field, value in data.items():
|
||||
setattr(existing_record, field, value)
|
||||
existing_record.save()
|
||||
|
||||
# 返回更新后的记录
|
||||
updated_record = model_class.select().where(
|
||||
model_class.id == existing_record.id
|
||||
).dicts().get()
|
||||
return updated_record
|
||||
|
||||
# 如果没有找到现有记录或未提供key_field和key_value，创建新记录
|
||||
new_record = model_class.create(**data)
|
||||
|
||||
# 返回创建的记录
|
||||
created_record = model_class.select().where(
|
||||
model_class.id == new_record.id
|
||||
).dicts().get()
|
||||
return created_record
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"{self.log_prefix} 保存数据库记录出错: {e}")
|
||||
traceback.print_exc()
|
||||
return None
|
||||
|
||||
async def db_get(
|
||||
self,
|
||||
model_class: Type[Model],
|
||||
filters: Dict[str, Any] = None,
|
||||
order_by: str = None,
|
||||
limit: int = None
|
||||
) -> Union[List[Dict[str, Any]], Dict[str, Any], None]:
|
||||
"""从数据库获取记录
|
||||
|
||||
这是db_query方法的简化版本，专注于数据检索操作。
|
||||
|
||||
Args:
|
||||
model_class: Peewee模型类
|
||||
filters: 过滤条件，字段名和值的字典
|
||||
order_by: 排序字段，前缀'-'表示降序，例如'-time'表示按时间降序
|
||||
limit: 结果数量限制，如果为1则返回单个记录而不是列表
|
||||
|
||||
Returns:
|
||||
如果limit=1，返回单个记录字典或None；
|
||||
否则返回记录字典列表或空列表。
|
||||
|
||||
示例:
|
||||
# 获取单个记录
|
||||
record = await self.db_get(
|
||||
ActionRecords,
|
||||
filters={"action_id": "123"},
|
||||
limit=1
|
||||
)
|
||||
|
||||
# 获取最近10条记录
|
||||
records = await self.db_get(
|
||||
Messages,
|
||||
filters={"chat_id": chat_stream.stream_id},
|
||||
order_by="-time",
|
||||
limit=10
|
||||
)
|
||||
"""
|
||||
try:
|
||||
# 构建查询
|
||||
query = model_class.select()
|
||||
|
||||
# 应用过滤条件
|
||||
if filters:
|
||||
for field, value in filters.items():
|
||||
query = query.where(getattr(model_class, field) == value)
|
||||
|
||||
# 应用排序
|
||||
if order_by:
|
||||
if order_by.startswith("-"):
|
||||
query = query.order_by(getattr(model_class, order_by[1:]).desc())
|
||||
else:
|
||||
query = query.order_by(getattr(model_class, order_by))
|
||||
|
||||
# 应用限制
|
||||
if limit:
|
||||
query = query.limit(limit)
|
||||
|
||||
# 执行查询
|
||||
results = list(query.dicts())
|
||||
|
||||
# 返回结果
|
||||
if limit == 1:
|
||||
return results[0] if results else None
|
||||
return results
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"{self.log_prefix} 获取数据库记录出错: {e}")
|
||||
traceback.print_exc()
|
||||
return None if limit == 1 else []
|
||||
|
||||
13
src/chat/actions/plugin_api/__init__.py
Normal file
13
src/chat/actions/plugin_api/__init__.py
Normal file
@@ -0,0 +1,13 @@
|
||||
from src.chat.actions.plugin_api.message_api import MessageAPI
|
||||
from src.chat.actions.plugin_api.llm_api import LLMAPI
|
||||
from src.chat.actions.plugin_api.database_api import DatabaseAPI
|
||||
from src.chat.actions.plugin_api.config_api import ConfigAPI
|
||||
from src.chat.actions.plugin_api.utils_api import UtilsAPI
|
||||
|
||||
__all__ = [
|
||||
'MessageAPI',
|
||||
'LLMAPI',
|
||||
'DatabaseAPI',
|
||||
'ConfigAPI',
|
||||
'UtilsAPI',
|
||||
]
|
||||
53
src/chat/actions/plugin_api/config_api.py
Normal file
53
src/chat/actions/plugin_api/config_api.py
Normal file
@@ -0,0 +1,53 @@
|
||||
from typing import Any
|
||||
from src.common.logger_manager import get_logger
|
||||
from src.config.config import global_config
|
||||
from src.person_info.person_info import person_info_manager
|
||||
|
||||
logger = get_logger("config_api")
|
||||
|
||||
class ConfigAPI:
|
||||
"""配置API模块
|
||||
|
||||
提供了配置读取和用户信息获取等功能
|
||||
"""
|
||||
|
||||
def get_global_config(self, key: str, default: Any = None) -> Any:
|
||||
"""
|
||||
安全地从全局配置中获取一个值。
|
||||
插件应使用此方法读取全局配置，以保证只读和隔离性。
|
||||
|
||||
Args:
|
||||
key: 配置键名
|
||||
default: 如果配置不存在时返回的默认值
|
||||
|
||||
Returns:
|
||||
Any: 配置值或默认值
|
||||
"""
|
||||
return global_config.get(key, default)
|
||||
|
||||
async def get_user_id_by_person_name(self, person_name: str) -> tuple[str, str]:
|
||||
"""根据用户名获取用户ID
|
||||
|
||||
Args:
|
||||
person_name: 用户名
|
||||
|
||||
Returns:
|
||||
tuple[str, str]: (平台, 用户ID)
|
||||
"""
|
||||
person_id = person_info_manager.get_person_id_by_person_name(person_name)
|
||||
user_id = await person_info_manager.get_value(person_id, "user_id")
|
||||
platform = await person_info_manager.get_value(person_id, "platform")
|
||||
return platform, user_id
|
||||
|
||||
async def get_person_info(self, person_id: str, key: str, default: Any = None) -> Any:
|
||||
"""获取用户信息
|
||||
|
||||
Args:
|
||||
person_id: 用户ID
|
||||
key: 信息键名
|
||||
default: 默认值
|
||||
|
||||
Returns:
|
||||
Any: 用户信息值或默认值
|
||||
"""
|
||||
return await person_info_manager.get_value(person_id, key, default)
|
||||
381
src/chat/actions/plugin_api/database_api.py
Normal file
381
src/chat/actions/plugin_api/database_api.py
Normal file
@@ -0,0 +1,381 @@
|
||||
import traceback
|
||||
import time
|
||||
from typing import Dict, List, Any, Union, Type
|
||||
from src.common.logger_manager import get_logger
|
||||
from src.common.database.database_model import ActionRecords
|
||||
from src.common.database.database import db
|
||||
from peewee import Model, DoesNotExist
|
||||
|
||||
logger = get_logger("database_api")
|
||||
|
||||
class DatabaseAPI:
|
||||
"""数据库API模块
|
||||
|
||||
提供了数据库操作相关的功能
|
||||
"""
|
||||
|
||||
async def store_action_info(self, action_build_into_prompt: bool = False, action_prompt_display: str = "", action_done: bool = True) -> None:
|
||||
"""存储action执行信息到数据库
|
||||
|
||||
Args:
|
||||
action_build_into_prompt: 是否构建到提示中
|
||||
action_prompt_display: 动作显示内容
|
||||
action_done: 动作是否已完成
|
||||
"""
|
||||
try:
|
||||
chat_stream = self._services.get("chat_stream")
|
||||
if not chat_stream:
|
||||
logger.error(f"{self.log_prefix} 无法存储action信息：缺少chat_stream服务")
|
||||
return
|
||||
|
||||
action_time = time.time()
|
||||
action_id = f"{action_time}_{self.thinking_id}"
|
||||
|
||||
ActionRecords.create(
|
||||
action_id=action_id,
|
||||
time=action_time,
|
||||
action_name=self.__class__.__name__,
|
||||
action_data=str(self.action_data),
|
||||
action_done=action_done,
|
||||
action_build_into_prompt=action_build_into_prompt,
|
||||
action_prompt_display=action_prompt_display,
|
||||
chat_id=chat_stream.stream_id,
|
||||
chat_info_stream_id=chat_stream.stream_id,
|
||||
chat_info_platform=chat_stream.platform,
|
||||
user_id=chat_stream.user_info.user_id if chat_stream.user_info else "",
|
||||
user_nickname=chat_stream.user_info.user_nickname if chat_stream.user_info else "",
|
||||
user_cardname=chat_stream.user_info.user_cardname if chat_stream.user_info else ""
|
||||
)
|
||||
logger.debug(f"{self.log_prefix} 已存储action信息: {action_prompt_display}")
|
||||
except Exception as e:
|
||||
logger.error(f"{self.log_prefix} 存储action信息时出错: {e}")
|
||||
traceback.print_exc()
|
||||
|
||||
async def db_query(
|
||||
self,
|
||||
model_class: Type[Model],
|
||||
query_type: str = "get",
|
||||
filters: Dict[str, Any] = None,
|
||||
data: Dict[str, Any] = None,
|
||||
limit: int = None,
|
||||
order_by: List[str] = None,
|
||||
single_result: bool = False
|
||||
) -> Union[List[Dict[str, Any]], Dict[str, Any], None]:
|
||||
"""执行数据库查询操作
|
||||
|
||||
这个方法提供了一个通用接口来执行数据库操作，包括查询、创建、更新和删除记录。
|
||||
|
||||
Args:
|
||||
model_class: Peewee 模型类，例如 ActionRecords, Messages 等
|
||||
query_type: 查询类型，可选值: "get", "create", "update", "delete", "count"
|
||||
filters: 过滤条件字典，键为字段名，值为要匹配的值
|
||||
data: 用于创建或更新的数据字典
|
||||
limit: 限制结果数量
|
||||
order_by: 排序字段列表，使用字段名，前缀'-'表示降序
|
||||
single_result: 是否只返回单个结果
|
||||
|
||||
Returns:
|
||||
根据查询类型返回不同的结果:
|
||||
- "get": 返回查询结果列表或单个结果（如果 single_result=True）
|
||||
- "create": 返回创建的记录
|
||||
- "update": 返回受影响的行数
|
||||
- "delete": 返回受影响的行数
|
||||
- "count": 返回记录数量
|
||||
|
||||
示例:
|
||||
# 查询最近10条消息
|
||||
messages = await self.db_query(
|
||||
Messages,
|
||||
query_type="get",
|
||||
filters={"chat_id": chat_stream.stream_id},
|
||||
limit=10,
|
||||
order_by=["-time"]
|
||||
)
|
||||
|
||||
# 创建一条记录
|
||||
new_record = await self.db_query(
|
||||
ActionRecords,
|
||||
query_type="create",
|
||||
data={"action_id": "123", "time": time.time(), "action_name": "TestAction"}
|
||||
)
|
||||
|
||||
# 更新记录
|
||||
updated_count = await self.db_query(
|
||||
ActionRecords,
|
||||
query_type="update",
|
||||
filters={"action_id": "123"},
|
||||
data={"action_done": True}
|
||||
)
|
||||
|
||||
# 删除记录
|
||||
deleted_count = await self.db_query(
|
||||
ActionRecords,
|
||||
query_type="delete",
|
||||
filters={"action_id": "123"}
|
||||
)
|
||||
|
||||
# 计数
|
||||
count = await self.db_query(
|
||||
Messages,
|
||||
query_type="count",
|
||||
filters={"chat_id": chat_stream.stream_id}
|
||||
)
|
||||
"""
|
||||
try:
|
||||
# 构建基本查询
|
||||
if query_type in ["get", "update", "delete", "count"]:
|
||||
query = model_class.select()
|
||||
|
||||
# 应用过滤条件
|
||||
if filters:
|
||||
for field, value in filters.items():
|
||||
query = query.where(getattr(model_class, field) == value)
|
||||
|
||||
# 执行查询
|
||||
if query_type == "get":
|
||||
# 应用排序
|
||||
if order_by:
|
||||
for field in order_by:
|
||||
if field.startswith("-"):
|
||||
query = query.order_by(getattr(model_class, field[1:]).desc())
|
||||
else:
|
||||
query = query.order_by(getattr(model_class, field))
|
||||
|
||||
# 应用限制
|
||||
if limit:
|
||||
query = query.limit(limit)
|
||||
|
||||
# 执行查询
|
||||
results = list(query.dicts())
|
||||
|
||||
# 返回结果
|
||||
if single_result:
|
||||
return results[0] if results else None
|
||||
return results
|
||||
|
||||
elif query_type == "create":
|
||||
if not data:
|
||||
raise ValueError("创建记录需要提供data参数")
|
||||
|
||||
# 创建记录
|
||||
record = model_class.create(**data)
|
||||
# 返回创建的记录
|
||||
return model_class.select().where(model_class.id == record.id).dicts().get()
|
||||
|
||||
elif query_type == "update":
|
||||
if not data:
|
||||
raise ValueError("更新记录需要提供data参数")
|
||||
|
||||
# 更新记录
|
||||
return query.update(**data).execute()
|
||||
|
||||
elif query_type == "delete":
|
||||
# 删除记录
|
||||
return query.delete().execute()
|
||||
|
||||
elif query_type == "count":
|
||||
# 计数
|
||||
return query.count()
|
||||
|
||||
else:
|
||||
raise ValueError(f"不支持的查询类型: {query_type}")
|
||||
|
||||
except DoesNotExist:
|
||||
# 记录不存在
|
||||
if query_type == "get" and single_result:
|
||||
return None
|
||||
return []
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"{self.log_prefix} 数据库操作出错: {e}")
|
||||
traceback.print_exc()
|
||||
|
||||
# 根据查询类型返回合适的默认值
|
||||
if query_type == "get":
|
||||
return None if single_result else []
|
||||
elif query_type in ["create", "update", "delete", "count"]:
|
||||
return None
|
||||
|
||||
async def db_raw_query(
|
||||
self,
|
||||
sql: str,
|
||||
params: List[Any] = None,
|
||||
fetch_results: bool = True
|
||||
) -> Union[List[Dict[str, Any]], int, None]:
|
||||
"""执行原始SQL查询
|
||||
|
||||
警告: 使用此方法需要小心，确保SQL语句已正确构造以避免SQL注入风险。
|
||||
|
||||
Args:
|
||||
sql: 原始SQL查询字符串
|
||||
params: 查询参数列表，用于替换SQL中的占位符
|
||||
fetch_results: 是否获取查询结果，对于SELECT查询设为True，对于
|
||||
UPDATE/INSERT/DELETE等操作设为False
|
||||
|
||||
Returns:
|
||||
如果fetch_results为True，返回查询结果列表；
|
||||
如果fetch_results为False，返回受影响的行数；
|
||||
如果出错，返回None
|
||||
"""
|
||||
try:
|
||||
cursor = db.execute_sql(sql, params or [])
|
||||
|
||||
if fetch_results:
|
||||
# 获取列名
|
||||
columns = [col[0] for col in cursor.description]
|
||||
|
||||
# 构建结果字典列表
|
||||
results = []
|
||||
for row in cursor.fetchall():
|
||||
results.append(dict(zip(columns, row)))
|
||||
|
||||
return results
|
||||
else:
|
||||
# 返回受影响的行数
|
||||
return cursor.rowcount
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"{self.log_prefix} 执行原始SQL查询出错: {e}")
|
||||
traceback.print_exc()
|
||||
return None
|
||||
|
||||
async def db_save(
|
||||
self,
|
||||
model_class: Type[Model],
|
||||
data: Dict[str, Any],
|
||||
key_field: str = None,
|
||||
key_value: Any = None
|
||||
) -> Union[Dict[str, Any], None]:
|
||||
"""保存数据到数据库（创建或更新）
|
||||
|
||||
如果提供了key_field和key_value，会先尝试查找匹配的记录进行更新；
|
||||
如果没有找到匹配记录，或未提供key_field和key_value，则创建新记录。
|
||||
|
||||
Args:
|
||||
model_class: Peewee模型类，如ActionRecords, Messages等
|
||||
data: 要保存的数据字典
|
||||
key_field: 用于查找现有记录的字段名，例如"action_id"
|
||||
key_value: 用于查找现有记录的字段值
|
||||
|
||||
Returns:
|
||||
Dict[str, Any]: 保存后的记录数据
|
||||
None: 如果操作失败
|
||||
|
||||
示例:
|
||||
# 创建或更新一条记录
|
||||
record = await self.db_save(
|
||||
ActionRecords,
|
||||
{
|
||||
"action_id": "123",
|
||||
"time": time.time(),
|
||||
"action_name": "TestAction",
|
||||
"action_done": True
|
||||
},
|
||||
key_field="action_id",
|
||||
key_value="123"
|
||||
)
|
||||
"""
|
||||
try:
|
||||
# 如果提供了key_field和key_value，尝试更新现有记录
|
||||
if key_field and key_value is not None:
|
||||
# 查找现有记录
|
||||
existing_records = list(model_class.select().where(
|
||||
getattr(model_class, key_field) == key_value
|
||||
).limit(1))
|
||||
|
||||
if existing_records:
|
||||
# 更新现有记录
|
||||
existing_record = existing_records[0]
|
||||
for field, value in data.items():
|
||||
setattr(existing_record, field, value)
|
||||
existing_record.save()
|
||||
|
||||
# 返回更新后的记录
|
||||
updated_record = model_class.select().where(
|
||||
model_class.id == existing_record.id
|
||||
).dicts().get()
|
||||
return updated_record
|
||||
|
||||
# 如果没有找到现有记录或未提供key_field和key_value，创建新记录
|
||||
new_record = model_class.create(**data)
|
||||
|
||||
# 返回创建的记录
|
||||
created_record = model_class.select().where(
|
||||
model_class.id == new_record.id
|
||||
).dicts().get()
|
||||
return created_record
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"{self.log_prefix} 保存数据库记录出错: {e}")
|
||||
traceback.print_exc()
|
||||
return None
|
||||
|
||||
async def db_get(
|
||||
self,
|
||||
model_class: Type[Model],
|
||||
filters: Dict[str, Any] = None,
|
||||
order_by: str = None,
|
||||
limit: int = None
|
||||
) -> Union[List[Dict[str, Any]], Dict[str, Any], None]:
|
||||
"""从数据库获取记录
|
||||
|
||||
这是db_query方法的简化版本，专注于数据检索操作。
|
||||
|
||||
Args:
|
||||
model_class: Peewee模型类
|
||||
filters: 过滤条件，字段名和值的字典
|
||||
order_by: 排序字段，前缀'-'表示降序，例如'-time'表示按时间降序
|
||||
limit: 结果数量限制，如果为1则返回单个记录而不是列表
|
||||
|
||||
Returns:
|
||||
如果limit=1，返回单个记录字典或None；
|
||||
否则返回记录字典列表或空列表。
|
||||
|
||||
示例:
|
||||
# 获取单个记录
|
||||
record = await self.db_get(
|
||||
ActionRecords,
|
||||
filters={"action_id": "123"},
|
||||
limit=1
|
||||
)
|
||||
|
||||
# 获取最近10条记录
|
||||
records = await self.db_get(
|
||||
Messages,
|
||||
filters={"chat_id": chat_stream.stream_id},
|
||||
order_by="-time",
|
||||
limit=10
|
||||
)
|
||||
"""
|
||||
try:
|
||||
# 构建查询
|
||||
query = model_class.select()
|
||||
|
||||
# 应用过滤条件
|
||||
if filters:
|
||||
for field, value in filters.items():
|
||||
query = query.where(getattr(model_class, field) == value)
|
||||
|
||||
# 应用排序
|
||||
if order_by:
|
||||
if order_by.startswith("-"):
|
||||
query = query.order_by(getattr(model_class, order_by[1:]).desc())
|
||||
else:
|
||||
query = query.order_by(getattr(model_class, order_by))
|
||||
|
||||
# 应用限制
|
||||
if limit:
|
||||
query = query.limit(limit)
|
||||
|
||||
# 执行查询
|
||||
results = list(query.dicts())
|
||||
|
||||
# 返回结果
|
||||
if limit == 1:
|
||||
return results[0] if results else None
|
||||
return results
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"{self.log_prefix} 获取数据库记录出错: {e}")
|
||||
traceback.print_exc()
|
||||
return None if limit == 1 else []
|
||||
61
src/chat/actions/plugin_api/llm_api.py
Normal file
61
src/chat/actions/plugin_api/llm_api.py
Normal file
@@ -0,0 +1,61 @@
|
||||
from typing import Tuple, Dict, Any
|
||||
from src.common.logger_manager import get_logger
|
||||
from src.llm_models.utils_model import LLMRequest
|
||||
from src.config.config import global_config
|
||||
|
||||
logger = get_logger("llm_api")
|
||||
|
||||
class LLMAPI:
|
||||
"""LLM API模块
|
||||
|
||||
提供了与LLM模型交互的功能
|
||||
"""
|
||||
|
||||
def get_available_models(self) -> Dict[str, Any]:
|
||||
"""获取所有可用的模型配置
|
||||
|
||||
Returns:
|
||||
Dict[str, Any]: 模型配置字典，key为模型名称，value为模型配置
|
||||
"""
|
||||
if not hasattr(global_config, "model"):
|
||||
logger.error(f"{self.log_prefix} 无法获取模型列表：全局配置中未找到 model 配置")
|
||||
return {}
|
||||
|
||||
models = global_config.model
|
||||
|
||||
return models
|
||||
|
||||
async def generate_with_model(
|
||||
self,
|
||||
prompt: str,
|
||||
model_config: Dict[str, Any],
|
||||
request_type: str = "plugin.generate",
|
||||
**kwargs
|
||||
) -> Tuple[bool, str, str, str]:
|
||||
"""使用指定模型生成内容
|
||||
|
||||
Args:
|
||||
prompt: 提示词
|
||||
model_config: 模型配置（从 get_available_models 获取的模型配置）
|
||||
request_type: 请求类型标识
|
||||
**kwargs: 其他模型特定参数，如temperature、max_tokens等
|
||||
|
||||
Returns:
|
||||
Tuple[bool, str, str, str]: (是否成功, 生成的内容, 推理过程, 模型名称)
|
||||
"""
|
||||
try:
|
||||
logger.info(f"{self.log_prefix} 使用模型生成内容，提示词: {prompt[:100]}...")
|
||||
|
||||
llm_request = LLMRequest(
|
||||
model=model_config,
|
||||
request_type=request_type,
|
||||
**kwargs
|
||||
)
|
||||
|
||||
response, (reasoning, model_name) = await llm_request.generate_response_async(prompt)
|
||||
return True, response, reasoning, model_name
|
||||
|
||||
except Exception as e:
|
||||
error_msg = f"生成内容时出错: {str(e)}"
|
||||
logger.error(f"{self.log_prefix} {error_msg}")
|
||||
return False, error_msg, "", ""
|
||||
231
src/chat/actions/plugin_api/message_api.py
Normal file
231
src/chat/actions/plugin_api/message_api.py
Normal file
@@ -0,0 +1,231 @@
|
||||
import traceback
|
||||
from typing import Optional, List, Dict, Any
|
||||
from src.common.logger_manager import get_logger
|
||||
from src.chat.heart_flow.observation.chatting_observation import ChattingObservation
|
||||
from src.chat.focus_chat.hfc_utils import create_empty_anchor_message
|
||||
|
||||
# 以下为类型注解需要
|
||||
from src.chat.message_receive.chat_stream import ChatStream
|
||||
from src.chat.focus_chat.expressors.default_expressor import DefaultExpressor
|
||||
from src.chat.focus_chat.replyer.default_replyer import DefaultReplyer
|
||||
from src.chat.focus_chat.info.obs_info import ObsInfo
|
||||
|
||||
logger = get_logger("message_api")
|
||||
|
||||
class MessageAPI:
|
||||
"""消息API模块
|
||||
|
||||
提供了发送消息、获取消息历史等功能
|
||||
"""
|
||||
|
||||
async def send_message(self, type: str, data: str, target: Optional[str] = "", display_message: str = "") -> bool:
|
||||
"""发送消息的简化方法
|
||||
|
||||
Args:
|
||||
type: 消息类型，如"text"、"image"等
|
||||
data: 消息内容
|
||||
target: 目标消息（可选）
|
||||
display_message: 显示的消息内容（可选）
|
||||
|
||||
Returns:
|
||||
bool: 是否发送成功
|
||||
"""
|
||||
try:
|
||||
expressor: DefaultExpressor = self._services.get("expressor")
|
||||
chat_stream: ChatStream = self._services.get("chat_stream")
|
||||
|
||||
if not expressor or not chat_stream:
|
||||
logger.error(f"{self.log_prefix} 无法发送消息：缺少必要的内部服务")
|
||||
return False
|
||||
|
||||
# 获取锚定消息（如果有）
|
||||
observations = self._services.get("observations", [])
|
||||
|
||||
if len(observations) > 0:
|
||||
chatting_observation: ChattingObservation = next(
|
||||
(obs for obs in observations if isinstance(obs, ChattingObservation)), None
|
||||
)
|
||||
|
||||
if chatting_observation:
|
||||
anchor_message = chatting_observation.search_message_by_text(target)
|
||||
else:
|
||||
anchor_message = None
|
||||
else:
|
||||
anchor_message = None
|
||||
|
||||
# 如果没有找到锚点消息，创建一个占位符
|
||||
if not anchor_message:
|
||||
logger.info(f"{self.log_prefix} 未找到锚点消息，创建占位符")
|
||||
anchor_message = await create_empty_anchor_message(
|
||||
chat_stream.platform, chat_stream.group_info, chat_stream
|
||||
)
|
||||
else:
|
||||
anchor_message.update_chat_stream(chat_stream)
|
||||
|
||||
response_set = [
|
||||
(type, data),
|
||||
]
|
||||
|
||||
# 调用内部方法发送消息
|
||||
success = await expressor.send_response_messages(
|
||||
anchor_message=anchor_message,
|
||||
response_set=response_set,
|
||||
display_message=display_message,
|
||||
)
|
||||
|
||||
return success
|
||||
except Exception as e:
|
||||
logger.error(f"{self.log_prefix} 发送消息时出错: {e}")
|
||||
traceback.print_exc()
|
||||
return False
|
||||
|
||||
async def send_message_by_expressor(self, text: str, target: Optional[str] = None) -> bool:
|
||||
"""通过expressor发送文本消息的简化方法
|
||||
|
||||
Args:
|
||||
text: 要发送的消息文本
|
||||
target: 目标消息（可选）
|
||||
|
||||
Returns:
|
||||
bool: 是否发送成功
|
||||
"""
|
||||
expressor: DefaultExpressor = self._services.get("expressor")
|
||||
chat_stream: ChatStream = self._services.get("chat_stream")
|
||||
|
||||
if not expressor or not chat_stream:
|
||||
logger.error(f"{self.log_prefix} 无法发送消息：缺少必要的内部服务")
|
||||
return False
|
||||
|
||||
# 构造简化的动作数据
|
||||
reply_data = {"text": text, "target": target or "", "emojis": []}
|
||||
|
||||
# 获取锚定消息（如果有）
|
||||
observations = self._services.get("observations", [])
|
||||
|
||||
# 查找 ChattingObservation 实例
|
||||
chatting_observation = None
|
||||
for obs in observations:
|
||||
if isinstance(obs, ChattingObservation):
|
||||
chatting_observation = obs
|
||||
break
|
||||
|
||||
if not chatting_observation:
|
||||
logger.warning(f"{self.log_prefix} 未找到 ChattingObservation 实例，创建占位符")
|
||||
anchor_message = await create_empty_anchor_message(
|
||||
chat_stream.platform, chat_stream.group_info, chat_stream
|
||||
)
|
||||
else:
|
||||
anchor_message = chatting_observation.search_message_by_text(reply_data["target"])
|
||||
if not anchor_message:
|
||||
logger.info(f"{self.log_prefix} 未找到锚点消息，创建占位符")
|
||||
anchor_message = await create_empty_anchor_message(
|
||||
chat_stream.platform, chat_stream.group_info, chat_stream
|
||||
)
|
||||
else:
|
||||
anchor_message.update_chat_stream(chat_stream)
|
||||
|
||||
# 调用内部方法发送消息
|
||||
success, _ = await expressor.deal_reply(
|
||||
cycle_timers=self.cycle_timers,
|
||||
action_data=reply_data,
|
||||
anchor_message=anchor_message,
|
||||
reasoning=self.reasoning,
|
||||
thinking_id=self.thinking_id,
|
||||
)
|
||||
|
||||
return success
|
||||
|
||||
async def send_message_by_replyer(self, target: Optional[str] = None, extra_info_block: Optional[str] = None) -> bool:
|
||||
"""通过replyer发送消息的简化方法
|
||||
|
||||
Args:
|
||||
target: 目标消息（可选）
|
||||
extra_info_block: 额外信息块（可选）
|
||||
|
||||
Returns:
|
||||
bool: 是否发送成功
|
||||
"""
|
||||
replyer: DefaultReplyer = self._services.get("replyer")
|
||||
chat_stream: ChatStream = self._services.get("chat_stream")
|
||||
|
||||
if not replyer or not chat_stream:
|
||||
logger.error(f"{self.log_prefix} 无法发送消息：缺少必要的内部服务")
|
||||
return False
|
||||
|
||||
# 构造简化的动作数据
|
||||
reply_data = {"target": target or "", "extra_info_block": extra_info_block}
|
||||
|
||||
# 获取锚定消息（如果有）
|
||||
observations = self._services.get("observations", [])
|
||||
|
||||
# 查找 ChattingObservation 实例
|
||||
chatting_observation = None
|
||||
for obs in observations:
|
||||
if isinstance(obs, ChattingObservation):
|
||||
chatting_observation = obs
|
||||
break
|
||||
|
||||
if not chatting_observation:
|
||||
logger.warning(f"{self.log_prefix} 未找到 ChattingObservation 实例，创建占位符")
|
||||
anchor_message = await create_empty_anchor_message(
|
||||
chat_stream.platform, chat_stream.group_info, chat_stream
|
||||
)
|
||||
else:
|
||||
anchor_message = chatting_observation.search_message_by_text(reply_data["target"])
|
||||
if not anchor_message:
|
||||
logger.info(f"{self.log_prefix} 未找到锚点消息，创建占位符")
|
||||
anchor_message = await create_empty_anchor_message(
|
||||
chat_stream.platform, chat_stream.group_info, chat_stream
|
||||
)
|
||||
else:
|
||||
anchor_message.update_chat_stream(chat_stream)
|
||||
|
||||
# 调用内部方法发送消息
|
||||
success, _ = await replyer.deal_reply(
|
||||
cycle_timers=self.cycle_timers,
|
||||
action_data=reply_data,
|
||||
anchor_message=anchor_message,
|
||||
reasoning=self.reasoning,
|
||||
thinking_id=self.thinking_id,
|
||||
)
|
||||
|
||||
return success
|
||||
|
||||
def get_chat_type(self) -> str:
|
||||
"""获取当前聊天类型
|
||||
|
||||
Returns:
|
||||
str: 聊天类型 ("group" 或 "private")
|
||||
"""
|
||||
chat_stream: ChatStream = self._services.get("chat_stream")
|
||||
if chat_stream and hasattr(chat_stream, "group_info"):
|
||||
return "group" if chat_stream.group_info else "private"
|
||||
return "unknown"
|
||||
|
||||
def get_recent_messages(self, count: int = 5) -> List[Dict[str, Any]]:
|
||||
"""获取最近的消息
|
||||
|
||||
Args:
|
||||
count: 要获取的消息数量
|
||||
|
||||
Returns:
|
||||
List[Dict]: 消息列表，每个消息包含发送者、内容等信息
|
||||
"""
|
||||
messages = []
|
||||
observations = self._services.get("observations", [])
|
||||
|
||||
if observations and len(observations) > 0:
|
||||
obs = observations[0]
|
||||
if hasattr(obs, "get_talking_message"):
|
||||
obs: ObsInfo
|
||||
raw_messages = obs.get_talking_message()
|
||||
# 转换为简化格式
|
||||
for msg in raw_messages[-count:]:
|
||||
simple_msg = {
|
||||
"sender": msg.get("sender", "未知"),
|
||||
"content": msg.get("content", ""),
|
||||
"timestamp": msg.get("timestamp", 0),
|
||||
}
|
||||
messages.append(simple_msg)
|
||||
|
||||
return messages
|
||||
121
src/chat/actions/plugin_api/utils_api.py
Normal file
121
src/chat/actions/plugin_api/utils_api.py
Normal file
@@ -0,0 +1,121 @@
|
||||
import os
|
||||
import json
|
||||
import time
|
||||
from typing import Any, Dict, List, Optional
|
||||
from src.common.logger_manager import get_logger
|
||||
|
||||
logger = get_logger("utils_api")
|
||||
|
||||
class UtilsAPI:
|
||||
"""工具类API模块
|
||||
|
||||
提供了各种辅助功能
|
||||
"""
|
||||
|
||||
def get_plugin_path(self) -> str:
|
||||
"""获取当前插件的路径
|
||||
|
||||
Returns:
|
||||
str: 插件目录的绝对路径
|
||||
"""
|
||||
import inspect
|
||||
plugin_module_path = inspect.getfile(self.__class__)
|
||||
plugin_dir = os.path.dirname(plugin_module_path)
|
||||
return plugin_dir
|
||||
|
||||
def read_json_file(self, file_path: str, default: Any = None) -> Any:
|
||||
"""读取JSON文件
|
||||
|
||||
Args:
|
||||
file_path: 文件路径，可以是相对于插件目录的路径
|
||||
default: 如果文件不存在或读取失败时返回的默认值
|
||||
|
||||
Returns:
|
||||
Any: JSON数据或默认值
|
||||
"""
|
||||
try:
|
||||
# 如果是相对路径，则相对于插件目录
|
||||
if not os.path.isabs(file_path):
|
||||
file_path = os.path.join(self.get_plugin_path(), file_path)
|
||||
|
||||
if not os.path.exists(file_path):
|
||||
logger.warning(f"{self.log_prefix} 文件不存在: {file_path}")
|
||||
return default
|
||||
|
||||
with open(file_path, 'r', encoding='utf-8') as f:
|
||||
return json.load(f)
|
||||
except Exception as e:
|
||||
logger.error(f"{self.log_prefix} 读取JSON文件出错: {e}")
|
||||
return default
|
||||
|
||||
def write_json_file(self, file_path: str, data: Any, indent: int = 2) -> bool:
|
||||
"""写入JSON文件
|
||||
|
||||
Args:
|
||||
file_path: 文件路径，可以是相对于插件目录的路径
|
||||
data: 要写入的数据
|
||||
indent: JSON缩进
|
||||
|
||||
Returns:
|
||||
bool: 是否写入成功
|
||||
"""
|
||||
try:
|
||||
# 如果是相对路径，则相对于插件目录
|
||||
if not os.path.isabs(file_path):
|
||||
file_path = os.path.join(self.get_plugin_path(), file_path)
|
||||
|
||||
# 确保目录存在
|
||||
os.makedirs(os.path.dirname(file_path), exist_ok=True)
|
||||
|
||||
with open(file_path, 'w', encoding='utf-8') as f:
|
||||
json.dump(data, f, ensure_ascii=False, indent=indent)
|
||||
return True
|
||||
except Exception as e:
|
||||
logger.error(f"{self.log_prefix} 写入JSON文件出错: {e}")
|
||||
return False
|
||||
|
||||
def get_timestamp(self) -> int:
|
||||
"""获取当前时间戳
|
||||
|
||||
Returns:
|
||||
int: 当前时间戳（秒）
|
||||
"""
|
||||
return int(time.time())
|
||||
|
||||
def format_time(self, timestamp: Optional[int] = None, format_str: str = "%Y-%m-%d %H:%M:%S") -> str:
|
||||
"""格式化时间
|
||||
|
||||
Args:
|
||||
timestamp: 时间戳，如果为None则使用当前时间
|
||||
format_str: 时间格式字符串
|
||||
|
||||
Returns:
|
||||
str: 格式化后的时间字符串
|
||||
"""
|
||||
import datetime
|
||||
if timestamp is None:
|
||||
timestamp = time.time()
|
||||
return datetime.datetime.fromtimestamp(timestamp).strftime(format_str)
|
||||
|
||||
def parse_time(self, time_str: str, format_str: str = "%Y-%m-%d %H:%M:%S") -> int:
|
||||
"""解析时间字符串为时间戳
|
||||
|
||||
Args:
|
||||
time_str: 时间字符串
|
||||
format_str: 时间格式字符串
|
||||
|
||||
Returns:
|
||||
int: 时间戳（秒）
|
||||
"""
|
||||
import datetime
|
||||
dt = datetime.datetime.strptime(time_str, format_str)
|
||||
return int(dt.timestamp())
|
||||
|
||||
def generate_unique_id(self) -> str:
|
||||
"""生成唯一ID
|
||||
|
||||
Returns:
|
||||
str: 唯一ID
|
||||
"""
|
||||
import uuid
|
||||
return str(uuid.uuid4())
|
||||
Reference in New Issue
Block a user