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refactor(social): 简化设置表情回应的动作逻辑

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移除了 `emoji_input` 参数，现在直接通过二级LLM根据对话上下文选择合适的表情。这简化了动作的调用方式，并减少了不必要的参数传递和错误处理。同时，更新了日志和动作提示信息以反映这一变化。
This commit is contained in:
minecraft1024a
2025-09-30 22:35:18 +08:00
committed by Windpicker-owo
parent 088b5bb43e
commit 50cdfb4f93
1 changed files with 5 additions and 14 deletions
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19
src/plugins/built_in/social_toolkit_plugin/plugin.py
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@@ -239,6 +239,7 @@ class SetEmojiLikeAction(BaseAction):
async def execute(self) -> Tuple[bool, str]: async def execute(self) -> Tuple[bool, str]:
"""执行设置表情回应的动作""" """执行设置表情回应的动作"""
message_id = None message_id = None
set_like = self.action_data.get("set", True)
if self.has_action_message: if self.has_action_message:
logger.debug(str(self.action_message)) logger.debug(str(self.action_message))
if isinstance(self.action_message, dict): if isinstance(self.action_message, dict):
@@ -252,16 +253,6 @@ class SetEmojiLikeAction(BaseAction):
action_done=False, action_done=False,
) )
return False, "未提供消息ID" return False, "未提供消息ID"
emoji_input = self.action_data.get("emoji")
set_like = self.action_data.get("set", True)
if not emoji_input:
logger.error("未提供表情")
return False, "未提供表情"
logger.info(f"设置表情回应: {emoji_input}, 是否设置: {set_like}")
logger.info(f"无法直接匹配表情 '{emoji_input}'，启动二级LLM选择...")
available_models = llm_api.get_available_models() available_models = llm_api.get_available_models()
if "utils_small" not in available_models: if "utils_small" not in available_models:
logger.error("未找到 'utils_small' 模型配置，无法选择表情") logger.error("未找到 'utils_small' 模型配置，无法选择表情")
@@ -269,7 +260,7 @@ class SetEmojiLikeAction(BaseAction):
model_to_use = available_models["utils_small"] model_to_use = available_models["utils_small"]
# 获取最近的对话历史作为上下文 # 获取最近的对话历史作为上下文
context_text = "" context_text = ""
if self.action_message: if self.action_message:
context_text = self.action_message.get("processed_plain_text", "") context_text = self.action_message.get("processed_plain_text", "")
@@ -290,8 +281,8 @@ class SetEmojiLikeAction(BaseAction):
) )
if not success or not response: if not success or not response:
logger.error(f"二级LLM未能为 '{emoji_input}' 选择有效的表情。") logger.error("二级LLM未能选择有效的表情。")
return False, f"无法为 '{emoji_input}' 找到合适的表情。" return False, "无法找到合适的表情。"
chosen_emoji_name = response.strip() chosen_emoji_name = response.strip()
logger.info(f"二级LLM选择的表情是: '{chosen_emoji_name}'") logger.info(f"二级LLM选择的表情是: '{chosen_emoji_name}'")
@@ -327,7 +318,7 @@ class SetEmojiLikeAction(BaseAction):
logger.info("设置表情回应成功") logger.info("设置表情回应成功")
await self.store_action_info( await self.store_action_info(
action_build_into_prompt=True, action_build_into_prompt=True,
action_prompt_display=f"执行了set_emoji_like动作,{emoji_input},设置表情回应: {emoji_id}, 是否设置: {set_like}", action_prompt_display=f"执行了set_emoji_like动作,{chosen_emoji_name},设置表情回应: {emoji_id}, 是否设置: {set_like}",
action_done=True, action_done=True,
) )
return True, "成功设置表情回应" return True, "成功设置表情回应"