feat：更精准的表情包匹配
This commit is contained in:
SengokuCola
@@ -86,3 +86,535 @@
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0.11715812159281318
|
||||
0.024387001589506692
|
||||
0.014013152602464482
|
||||
0.028400154191971172
|
||||
0.03800088908311688
|
||||
0.022721392769155448
|
||||
0.02126634371149695
|
||||
0.016360696384577725
|
||||
0.018026305204928966
|
||||
0.03203964454588806
|
||||
0.018026305204928966
|
||||
1.4606587109145759
|
||||
0.027344556981661584
|
||||
0.027047581355656602
|
||||
0.19631537111376607
|
||||
0.03522427827216307
|
||||
0.019318251776732617
|
||||
0.03203964454588806
|
||||
0.019318251776732617
|
||||
0.03529803411491245
|
||||
0.02203945780739345
|
||||
0.024387001589506692
|
||||
0.19788719264057633
|
||||
0.019318251776732617
|
||||
0.025279496313961432
|
||||
0.19788719264057633
|
||||
0.03203964454588806
|
||||
0.037267027716268906
|
||||
1.9426549475864308
|
||||
0.02863650355346524
|
||||
0.19788719264057633
|
||||
0.025279496313961432
|
||||
0.040617772375002116
|
||||
0.014013152602464482
|
||||
0.042059810740987885
|
||||
0.03203964454588806
|
||||
0.022721392769155448
|
||||
0.19788719264057633
|
||||
0.04192140362354248
|
||||
0.02789637960584667
|
||||
0.02203945780739345
|
||||
0.033800953980773776
|
||||
2.5587523795311893
|
||||
0.036833946992045466
|
||||
0.19788719264057633
|
||||
6.05966908428223
|
||||
0.033800953980773776
|
||||
6.06239029031289
|
||||
6.05966908428223
|
||||
0.0363045653081948
|
||||
0.1953930649440356
|
||||
0.014013152602464482
|
||||
0.018026305204928966
|
||||
1.4384500897093555
|
||||
1.6635593742584274
|
||||
0.02203945780739345
|
||||
8.603668187263336
|
||||
0.02126634371149695
|
||||
6.05966908428223
|
||||
6.067398413861153
|
||||
1.0334082777402342
|
||||
0.014013152602464482
|
||||
0.014013152602464482
|
||||
0.014013152602464482
|
||||
0.014013152602464482
|
||||
0.014013152602464482
|
||||
0.014013152602464482
|
||||
0.014013152602464482
|
||||
0.014013152602464482
|
||||
0.014013152602464482
|
||||
0.014013152602464482
|
||||
6.070042933269272
|
||||
0.0233314043791971
|
||||
0.8090676524802475
|
||||
6.069846651578816
|
||||
6.071411566463618
|
||||
0.025279496313961432
|
||||
0.19788719264057633
|
||||
0.016360696384577725
|
||||
1.0342570759904244
|
||||
0.026403612138840668
|
||||
0.016360696384577725
|
||||
0.019318251776732617
|
||||
0.014013152602464482
|
||||
0.03537086218659055
|
||||
0.018026305204928966
|
||||
6.234776695167793
|
||||
6.327799950981746
|
||||
6.234224872543608
|
||||
|
||||
@@ -8,7 +8,7 @@
|
||||
count = emoji_api.get_count()
|
||||
"""
|
||||
|
||||
from typing import Optional, Tuple
|
||||
from typing import Optional, Tuple, List
|
||||
from src.common.logger import get_logger
|
||||
from src.chat.emoji_system.emoji_manager import get_emoji_manager
|
||||
from src.chat.utils.utils_image import image_path_to_base64
|
||||
@@ -55,14 +55,20 @@ async def get_by_description(description: str) -> Optional[Tuple[str, str, str]]
|
||||
return None
|
||||
|
||||
|
||||
async def get_random() -> Optional[Tuple[str, str, str]]:
|
||||
"""随机获取表情包
|
||||
async def get_random(count: int = 1) -> Optional[List[Tuple[str, str, str]]]:
|
||||
"""随机获取指定数量的表情包
|
||||
|
||||
Args:
|
||||
count: 要获取的表情包数量，默认为1
|
||||
|
||||
Returns:
|
||||
Optional[Tuple[str, str, str]]: (base64编码, 表情包描述, 随机情感标签) 或 None
|
||||
Optional[List[Tuple[str, str, str]]]: 包含(base64编码, 表情包描述, 随机情感标签)的元组列表，如果失败则为None
|
||||
"""
|
||||
if count <= 0:
|
||||
return []
|
||||
|
||||
try:
|
||||
logger.info("[EmojiAPI] 随机获取表情包")
|
||||
logger.info(f"[EmojiAPI] 随机获取 {count} 个表情包")
|
||||
|
||||
emoji_manager = get_emoji_manager()
|
||||
all_emojis = emoji_manager.emoji_objects
|
||||
@@ -77,23 +83,35 @@ async def get_random() -> Optional[Tuple[str, str, str]]:
|
||||
logger.warning("[EmojiAPI] 没有有效的表情包")
|
||||
return None
|
||||
|
||||
if len(valid_emojis) < count:
|
||||
logger.warning(f"[EmojiAPI] 有效表情包数量 ({len(valid_emojis)}) 少于请求的数量 ({count})，将返回所有有效表情包")
|
||||
count = len(valid_emojis)
|
||||
|
||||
# 随机选择
|
||||
import random
|
||||
|
||||
selected_emoji = random.choice(valid_emojis)
|
||||
selected_emojis = random.sample(valid_emojis, count)
|
||||
|
||||
results = []
|
||||
for selected_emoji in selected_emojis:
|
||||
emoji_base64 = image_path_to_base64(selected_emoji.full_path)
|
||||
|
||||
if not emoji_base64:
|
||||
logger.error(f"[EmojiAPI] 无法转换表情包为base64: {selected_emoji.full_path}")
|
||||
return None
|
||||
continue
|
||||
|
||||
matched_emotion = random.choice(selected_emoji.emotion) if selected_emoji.emotion else "随机表情"
|
||||
|
||||
# 记录使用次数
|
||||
emoji_manager.record_usage(selected_emoji.hash)
|
||||
results.append((emoji_base64, selected_emoji.description, matched_emotion))
|
||||
|
||||
logger.info(f"[EmojiAPI] 成功获取随机表情包: {selected_emoji.description}")
|
||||
return emoji_base64, selected_emoji.description, matched_emotion
|
||||
if not results and count > 0:
|
||||
logger.warning("[EmojiAPI] 随机获取表情包失败，没有一个可以成功处理")
|
||||
return None
|
||||
|
||||
logger.info(f"[EmojiAPI] 成功获取 {len(results)} 个随机表情包")
|
||||
return results
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[EmojiAPI] 获取随机表情包失败: {e}")
|
||||
|
||||
@@ -1,3 +1,4 @@
|
||||
import random
|
||||
from typing import Tuple
|
||||
|
||||
# 导入新插件系统
|
||||
@@ -7,7 +8,7 @@ from src.plugin_system import BaseAction, ActionActivationType, ChatMode
|
||||
from src.common.logger import get_logger
|
||||
|
||||
# 导入API模块 - 标准Python包方式
|
||||
from src.plugin_system.apis import emoji_api
|
||||
from src.plugin_system.apis import emoji_api, llm_api, message_api
|
||||
from src.plugins.built_in.core_actions.no_reply import NoReplyAction
|
||||
|
||||
|
||||
@@ -39,7 +40,7 @@ class EmojiAction(BaseAction):
|
||||
"""
|
||||
|
||||
# 动作参数定义
|
||||
action_parameters = {"description": "文字描述你想要发送的表情包内容"}
|
||||
action_parameters = {"reason": "文字描述你想要发送的表情包原因"}
|
||||
|
||||
# 动作使用场景
|
||||
action_require = [
|
||||
@@ -56,18 +57,79 @@ class EmojiAction(BaseAction):
|
||||
logger.info(f"{self.log_prefix} 决定发送表情")
|
||||
|
||||
try:
|
||||
# 1. 根据描述选择表情包
|
||||
description = self.action_data.get("description", "")
|
||||
emoji_result = await emoji_api.get_by_description(description)
|
||||
# 1. 获取发送表情的原因
|
||||
reason = self.action_data.get("reason", "表达当前情绪")
|
||||
logger.info(f"{self.log_prefix} 发送表情原因: {reason}")
|
||||
|
||||
if not emoji_result:
|
||||
logger.warning(f"{self.log_prefix} 未找到匹配描述 '{description}' 的表情包")
|
||||
return False, f"未找到匹配 '{description}' 的表情包"
|
||||
# 2. 随机获取20个表情包
|
||||
sampled_emojis = await emoji_api.get_random(30)
|
||||
if not sampled_emojis:
|
||||
logger.warning(f"{self.log_prefix} 无法获取随机表情包")
|
||||
return False, "无法获取随机表情包"
|
||||
|
||||
emoji_base64, emoji_description, matched_emotion = emoji_result
|
||||
logger.info(f"{self.log_prefix} 找到表达{matched_emotion}的表情包")
|
||||
# 3. 准备情感数据
|
||||
emotion_map = {}
|
||||
for b64, desc, emo in sampled_emojis:
|
||||
if emo not in emotion_map:
|
||||
emotion_map[emo] = []
|
||||
emotion_map[emo].append((b64, desc))
|
||||
|
||||
# 使用BaseAction的便捷方法发送表情包
|
||||
available_emotions = list(emotion_map.keys())
|
||||
|
||||
if not available_emotions:
|
||||
logger.warning(f"{self.log_prefix} 获取到的表情包均无情感标签, 将随机发送")
|
||||
emoji_base64, emoji_description, _ = random.choice(sampled_emojis)
|
||||
else:
|
||||
|
||||
# 获取最近的5条消息内容用于判断
|
||||
recent_messages = message_api.get_recent_messages(chat_id=self.chat_id, limit=5)
|
||||
messages_text = ""
|
||||
if recent_messages:
|
||||
# 使用message_api构建可读的消息字符串
|
||||
messages_text = message_api.build_readable_messages(
|
||||
messages=recent_messages,
|
||||
timestamp_mode="normal_no_YMD",
|
||||
truncate=False,
|
||||
show_actions=False,
|
||||
)
|
||||
|
||||
# 4. 构建prompt让LLM选择情感
|
||||
prompt = f"""
|
||||
你是一个正在进行聊天的网友，你需要根据一个理由和最近的聊天记录，从一个情感标签列表中选择最匹配的一个。
|
||||
这是最近的聊天记录：
|
||||
{messages_text}
|
||||
|
||||
这是理由：“{reason}”
|
||||
这里是可用的情感标签：{available_emotions}
|
||||
请直接返回最匹配的那个情感标签，不要进行任何解释或添加其他多余的文字。
|
||||
"""
|
||||
logger.info(f"{self.log_prefix} 生成的LLM Prompt: {prompt}")
|
||||
|
||||
# 5. 调用LLM
|
||||
models = llm_api.get_available_models()
|
||||
chat_model_config = getattr(models, "utils_small", None) # 默认使用chat模型
|
||||
if not chat_model_config:
|
||||
logger.error(f"{self.log_prefix} 未找到'chat'模型配置，无法调用LLM")
|
||||
return False, "未找到'chat'模型配置"
|
||||
|
||||
success, chosen_emotion, _, _ = await llm_api.generate_with_model(prompt, model_config=chat_model_config, request_type="emoji")
|
||||
|
||||
if not success:
|
||||
logger.error(f"{self.log_prefix} LLM调用失败: {chosen_emotion}")
|
||||
return False, f"LLM调用失败: {chosen_emotion}"
|
||||
|
||||
chosen_emotion = chosen_emotion.strip().replace("\"", "").replace("'", "")
|
||||
logger.info(f"{self.log_prefix} LLM选择的情感: {chosen_emotion}")
|
||||
|
||||
# 6. 根据选择的情感匹配表情包
|
||||
if chosen_emotion in emotion_map:
|
||||
emoji_base64, emoji_description = random.choice(emotion_map[chosen_emotion])
|
||||
logger.info(f"{self.log_prefix} 找到匹配情感 '{chosen_emotion}' 的表情包: {emoji_description}")
|
||||
else:
|
||||
logger.warning(f"{self.log_prefix} LLM选择的情感 '{chosen_emotion}' 不在可用列表中, 将随机选择一个表情包")
|
||||
emoji_base64, emoji_description, _ = random.choice(sampled_emojis)
|
||||
|
||||
# 7. 发送表情包
|
||||
success = await self.send_emoji(emoji_base64)
|
||||
|
||||
if not success:
|
||||
@@ -80,5 +142,5 @@ class EmojiAction(BaseAction):
|
||||
return True, f"发送表情包: {emoji_description}"
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"{self.log_prefix} 表情动作执行失败: {e}")
|
||||
logger.error(f"{self.log_prefix} 表情动作执行失败: {e}", exc_info=True)
|
||||
return False, f"表情发送失败: {str(e)}"
|
||||
|
||||
Reference in New Issue
Block a user