fix：提供更精简的一套action

src/chat/focus_chat/planners/actions/reply_complex_action.py

@@ -0,0 +1,141 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+from src.common.logger_manager import get_logger
+from src.chat.focus_chat.planners.actions.base_action import BaseAction, register_action
+from typing import Tuple, List
+from src.chat.heart_flow.observation.observation import Observation
+from chat.focus_chat.replyer.default_expressor import DefaultExpressor
+from src.chat.message_receive.chat_stream import ChatStream
+from src.chat.heart_flow.observation.chatting_observation import ChattingObservation
+from src.chat.focus_chat.hfc_utils import create_empty_anchor_message
+from src.config.config import global_config
+
+logger = get_logger("action_taken")
+
+
+@register_action
+class ReplyAction(BaseAction):
+    """回复动作处理类
+
+    处理构建和发送消息回复的动作。
+    """
+
+    action_name: str = "reply"
+    action_description: str = "表达想法，可以只包含文本、表情或两者都有"
+    action_parameters: dict[str:str] = {
+        "text": "你想要表达的内容（可选）",
+        "emojis": "描述当前使用表情包的场景，一段话描述（可选）",
+        "target": "你想要回复的原始文本内容（非必须，仅文本，不包含发送者)（可选）",
+    }
+    action_require: list[str] = [
+        "有实质性内容需要表达",
+        "有人提到你，但你还没有回应他",
+        "在合适的时候添加表情（不要总是添加），表情描述要详细，描述当前场景，一段话描述",
+        "如果你有明确的,要回复特定某人的某句话，或者你想回复较早的消息，请在target中指定那句话的原始文本",
+        "一次只回复一个人，一次只回复一个话题,突出重点",
+        "如果是自己发的消息想继续，需自然衔接",
+        "避免重复或评价自己的发言,不要和自己聊天",
+        f"注意你的回复要求：{global_config.expression.expression_style}",
+    ]
+
+    associated_types: list[str] = ["text", "emoji"]
+
+    default = True
+
+    def __init__(
+        self,
+        action_data: dict,
+        reasoning: str,
+        cycle_timers: dict,
+        thinking_id: str,
+        observations: List[Observation],
+        expressor: DefaultExpressor,
+        chat_stream: ChatStream,
+        log_prefix: str,
+        **kwargs,
+    ):
+        """初始化回复动作处理器
+
+        Args:
+            action_name: 动作名称
+            action_data: 动作数据，包含 message, emojis, target 等
+            reasoning: 执行该动作的理由
+            cycle_timers: 计时器字典
+            thinking_id: 思考ID
+            observations: 观察列表
+            expressor: 表达器
+            chat_stream: 聊天流
+            log_prefix: 日志前缀
+        """
+        super().__init__(action_data, reasoning, cycle_timers, thinking_id)
+        self.observations = observations
+        self.expressor = expressor
+        self.chat_stream = chat_stream
+        self.log_prefix = log_prefix
+
+    async def handle_action(self) -> Tuple[bool, str]:
+        """
+        处理回复动作
+
+        Returns:
+            Tuple[bool, str]: (是否执行成功, 回复文本)
+        """
+        # 注意: 此处可能会使用不同的expressor实现根据任务类型切换不同的回复策略
+        return await self._handle_reply(
+            reasoning=self.reasoning,
+            reply_data=self.action_data,
+            cycle_timers=self.cycle_timers,
+            thinking_id=self.thinking_id,
+        )
+
+    async def _handle_reply(
+        self, reasoning: str, reply_data: dict, cycle_timers: dict, thinking_id: str
+    ) -> tuple[bool, str]:
+        """
+        处理统一的回复动作 - 可包含文本和表情，顺序任意
+
+        reply_data格式:
+        {
+            "text": "你好啊"  # 文本内容列表（可选）
+            "target": "锚定消息",  # 锚定消息的文本内容
+            "emojis": "微笑"  # 表情关键词列表（可选）
+        }
+        """
+        logger.info(f"{self.log_prefix} 决定回复: {self.reasoning}")
+
+        # 从聊天观察获取锚定消息
+        chatting_observation: ChattingObservation = next(
+            obs for obs in self.observations if isinstance(obs, ChattingObservation)
+        )
+        if reply_data.get("target"):
+            anchor_message = chatting_observation.search_message_by_text(reply_data["target"])
+        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(
+                self.chat_stream.platform, self.chat_stream.group_info, self.chat_stream
+            )
+        else:
+            anchor_message.update_chat_stream(self.chat_stream)
+
+        success, reply_set = await self.expressor.deal_reply(
+            cycle_timers=cycle_timers,
+            action_data=reply_data,
+            anchor_message=anchor_message,
+            reasoning=reasoning,
+            thinking_id=thinking_id,
+        )
+
+        reply_text = ""
+        for reply in reply_set:
+            type = reply[0]
+            data = reply[1]
+            if type == "text":
+                reply_text += data
+            elif type == "emoji":
+                reply_text += data
+
+        return success, reply_text