Merge branch 'debug' into main
This commit is contained in:
SengokuCola
GitHub
@@ -1,9 +1,11 @@
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import asyncio
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import base64
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import hashlib
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import os
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import random
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import time
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import traceback
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from typing import Optional
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from typing import Optional, Tuple
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from loguru import logger
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from nonebot import get_driver
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@@ -11,34 +13,37 @@ from nonebot import get_driver
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from ...common.database import Database
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from ..chat.config import global_config
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from ..chat.utils import get_embedding
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from ..chat.utils_image import image_path_to_base64
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from ..chat.utils_image import ImageManager, image_path_to_base64
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from ..models.utils_model import LLM_request
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driver = get_driver()
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config = driver.config
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image_manager = ImageManager()
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class EmojiManager:
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_instance = None
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EMOJI_DIR = "data/emoji" # 表情包存储目录
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def __new__(cls):
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if cls._instance is None:
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cls._instance = super().__new__(cls)
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cls._instance.db = None
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cls._instance._initialized = False
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return cls._instance
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def __init__(self):
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self.db = Database.get_instance()
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self._scan_task = None
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self.vlm = LLM_request(model=global_config.vlm, temperature=0.3, max_tokens=1000)
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self.llm_emotion_judge = LLM_request(model=global_config.llm_normal_minor, max_tokens=60,temperature=0.8) #更高的温度，更少的token（后续可以根据情绪来调整温度）
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self.llm_emotion_judge = LLM_request(model=global_config.llm_emotion_judge, max_tokens=60,
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temperature=0.8) # 更高的温度，更少的token（后续可以根据情绪来调整温度）
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def _ensure_emoji_dir(self):
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"""确保表情存储目录存在"""
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os.makedirs(self.EMOJI_DIR, exist_ok=True)
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def initialize(self):
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"""初始化数据库连接和表情目录"""
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if not self._initialized:
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@@ -49,16 +54,16 @@ class EmojiManager:
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self._initialized = True
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# 启动时执行一次完整性检查
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self.check_emoji_file_integrity()
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except Exception as e:
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logger.error(f"初始化表情管理器失败: {str(e)}")
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except Exception:
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logger.exception("初始化表情管理器失败")
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def _ensure_db(self):
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"""确保数据库已初始化"""
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if not self._initialized:
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self.initialize()
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if not self._initialized:
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raise RuntimeError("EmojiManager not initialized")
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def _ensure_emoji_collection(self):
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"""确保emoji集合存在并创建索引
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@@ -74,9 +79,8 @@ class EmojiManager:
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if 'emoji' not in self.db.db.list_collection_names():
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self.db.db.create_collection('emoji')
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self.db.db.emoji.create_index([('embedding', '2dsphere')])
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self.db.db.emoji.create_index([('tags', 1)])
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self.db.db.emoji.create_index([('filename', 1)], unique=True)
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def record_usage(self, emoji_id: str):
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"""记录表情使用次数"""
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try:
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@@ -88,7 +92,7 @@ class EmojiManager:
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except Exception as e:
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logger.error(f"记录表情使用失败: {str(e)}")
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async def get_emoji_for_text(self, text: str) -> Optional[str]:
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async def get_emoji_for_text(self, text: str) -> Optional[Tuple[str,str]]:
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"""根据文本内容获取相关表情包
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Args:
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text: 输入文本
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@@ -102,9 +106,9 @@ class EmojiManager:
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"""
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try:
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self._ensure_db()
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# 获取文本的embedding
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text_for_search= await self._get_kimoji_for_text(text)
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text_for_search = await self._get_kimoji_for_text(text)
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if not text_for_search:
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logger.error("无法获取文本的情绪")
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return None
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@@ -112,15 +116,15 @@ class EmojiManager:
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if not text_embedding:
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logger.error("无法获取文本的embedding")
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return None
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try:
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# 获取所有表情包
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all_emojis = list(self.db.db.emoji.find({}, {'_id': 1, 'path': 1, 'embedding': 1, 'description': 1}))
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if not all_emojis:
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logger.warning("数据库中没有任何表情包")
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return None
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# 计算余弦相似度并排序
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def cosine_similarity(v1, v2):
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if not v1 or not v2:
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@@ -131,25 +135,25 @@ class EmojiManager:
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if norm_v1 == 0 or norm_v2 == 0:
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return 0
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return dot_product / (norm_v1 * norm_v2)
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# 计算所有表情包与输入文本的相似度
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emoji_similarities = [
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(emoji, cosine_similarity(text_embedding, emoji.get('embedding', [])))
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for emoji in all_emojis
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]
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# 按相似度降序排序
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emoji_similarities.sort(key=lambda x: x[1], reverse=True)
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# 获取前3个最相似的表情包
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top_3_emojis = emoji_similarities[:3]
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top_10_emojis = emoji_similarities[:10 if len(emoji_similarities) > 10 else len(emoji_similarities)]
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if not top_3_emojis:
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if not top_10_emojis:
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logger.warning("未找到匹配的表情包")
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return None
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# 从前3个中随机选择一个
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selected_emoji, similarity = random.choice(top_3_emojis)
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selected_emoji, similarity = random.choice(top_10_emojis)
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if selected_emoji and 'path' in selected_emoji:
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# 更新使用次数
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@@ -157,57 +161,61 @@ class EmojiManager:
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{'_id': selected_emoji['_id']},
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{'$inc': {'usage_count': 1}}
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)
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logger.success(f"找到匹配的表情包: {selected_emoji.get('description', '无描述')} (相似度: {similarity:.4f})")
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logger.success(
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f"找到匹配的表情包: {selected_emoji.get('description', '无描述')} (相似度: {similarity:.4f})")
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# 稍微改一下文本描述，不然容易产生幻觉，描述已经包含 表情包 了
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return selected_emoji['path'],"[ %s ]" % selected_emoji.get('description', '无描述')
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return selected_emoji['path'], "[ %s ]" % selected_emoji.get('description', '无描述')
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except Exception as search_error:
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logger.error(f"搜索表情包失败: {str(search_error)}")
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return None
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return None
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except Exception as e:
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logger.error(f"获取表情包失败: {str(e)}")
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return None
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async def _get_emoji_description(self, image_base64: str) -> str:
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"""获取表情包的标签"""
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async def _get_emoji_discription(self, image_base64: str) -> str:
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"""获取表情包的标签，使用image_manager的描述生成功能"""
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try:
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prompt = '这是一个表情包，使用中文简洁的描述一下表情包的内容和表情包所表达的情感'
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content, _ = await self.vlm.generate_response_for_image(prompt, image_base64)
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logger.debug(f"输出描述: {content}")
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return content
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# 使用image_manager获取描述，去掉前后的方括号和"表情包："前缀
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description = await image_manager.get_emoji_description(image_base64)
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# 去掉[表情包：xxx]的格式，只保留描述内容
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description = description.strip('[]').replace('表情包：', '')
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return description
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except Exception as e:
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logger.error(f"获取标签失败: {str(e)}")
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return None
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async def _check_emoji(self, image_base64: str) -> str:
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try:
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prompt = f'这是一个表情包，请回答这个表情包是否满足\"{global_config.EMOJI_CHECK_PROMPT}\"的要求，是则回答是，否则回答否，不要出现任何其他内容'
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content, _ = await self.vlm.generate_response_for_image(prompt, image_base64)
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logger.debug(f"输出描述: {content}")
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return content
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except Exception as e:
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logger.error(f"获取标签失败: {str(e)}")
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return None
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async def _get_kimoji_for_text(self, text:str):
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async def _get_kimoji_for_text(self, text: str):
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try:
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prompt = f'这是{global_config.BOT_NICKNAME}将要发送的消息内容:\n{text}\n若要为其配上表情包，请你输出这个表情包应该表达怎样的情感，应该给人什么样的感觉，不要太简洁也不要太长，注意不要输出任何对消息内容的分析内容，只输出\"一种什么样的感觉\"中间的形容词部分。'
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content, _ = await self.llm_emotion_judge.generate_response_async(prompt)
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content, _ = await self.llm_emotion_judge.generate_response_async(prompt,temperature=1.5)
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logger.info(f"输出描述: {content}")
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return content
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except Exception as e:
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logger.error(f"获取标签失败: {str(e)}")
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return None
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async def scan_new_emojis(self):
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"""扫描新的表情包"""
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try:
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@@ -215,62 +223,122 @@ class EmojiManager:
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os.makedirs(emoji_dir, exist_ok=True)
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# 获取所有支持的图片文件
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files_to_process = [f for f in os.listdir(emoji_dir) if f.lower().endswith(('.jpg', '.jpeg', '.png', '.gif'))]
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files_to_process = [f for f in os.listdir(emoji_dir) if
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f.lower().endswith(('.jpg', '.jpeg', '.png', '.gif'))]
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for filename in files_to_process:
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image_path = os.path.join(emoji_dir, filename)
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# 检查是否已经注册过
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existing_emoji = self.db.db['emoji'].find_one({'filename': filename})
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if existing_emoji:
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continue
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# 压缩图片并获取base64编码
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# 获取图片的base64编码和哈希值
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image_base64 = image_path_to_base64(image_path)
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if image_base64 is None:
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os.remove(image_path)
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continue
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# 获取表情包的描述
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description = await self._get_emoji_description(image_base64)
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image_bytes = base64.b64decode(image_base64)
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image_hash = hashlib.md5(image_bytes).hexdigest()
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# 检查是否已经注册过
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existing_emoji = self.db.db['emoji'].find_one({'filename': filename})
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description = None
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if existing_emoji:
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# 即使表情包已存在，也检查是否需要同步到images集合
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description = existing_emoji.get('discription')
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# 检查是否在images集合中存在
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existing_image = image_manager.db.db.images.find_one({'hash': image_hash})
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if not existing_image:
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# 同步到images集合
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image_doc = {
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'hash': image_hash,
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'path': image_path,
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'type': 'emoji',
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'description': description,
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'timestamp': int(time.time())
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}
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image_manager.db.db.images.update_one(
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{'hash': image_hash},
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{'$set': image_doc},
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upsert=True
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)
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# 保存描述到image_descriptions集合
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image_manager._save_description_to_db(image_hash, description, 'emoji')
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logger.success(f"同步已存在的表情包到images集合: {filename}")
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continue
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# 检查是否在images集合中已有描述
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existing_description = image_manager._get_description_from_db(image_hash, 'emoji')
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if existing_description:
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description = existing_description
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else:
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# 获取表情包的描述
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description = await self._get_emoji_discription(image_base64)
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if global_config.EMOJI_CHECK:
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check = await self._check_emoji(image_base64)
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if '是' not in check:
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os.remove(image_path)
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logger.info(f"描述: {description}")
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logger.info(f"描述: {description}")
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logger.info(f"其不满足过滤规则，被剔除 {check}")
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continue
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logger.info(f"check通过 {check}")
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embedding = await get_embedding(description)
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if description is not None:
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embedding = await get_embedding(description)
|
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if description is not None:
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embedding = await get_embedding(description)
|
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|
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# 准备数据库记录
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emoji_record = {
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'filename': filename,
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'path': image_path,
|
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'embedding':embedding,
|
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'description': description,
|
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'embedding': embedding,
|
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'discription': description,
|
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'hash': image_hash,
|
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'timestamp': int(time.time())
|
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}
|
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|
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# 保存到数据库
|
||||
# 保存到emoji数据库
|
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self.db.db['emoji'].insert_one(emoji_record)
|
||||
logger.success(f"注册新表情包: {filename}")
|
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logger.info(f"描述: {description}")
|
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|
||||
|
||||
# 保存到images数据库
|
||||
image_doc = {
|
||||
'hash': image_hash,
|
||||
'path': image_path,
|
||||
'type': 'emoji',
|
||||
'description': description,
|
||||
'timestamp': int(time.time())
|
||||
}
|
||||
image_manager.db.db.images.update_one(
|
||||
{'hash': image_hash},
|
||||
{'$set': image_doc},
|
||||
upsert=True
|
||||
)
|
||||
# 保存描述到image_descriptions集合
|
||||
image_manager._save_description_to_db(image_hash, description, 'emoji')
|
||||
logger.success(f"同步保存到images集合: {filename}")
|
||||
else:
|
||||
logger.warning(f"跳过表情包: {filename}")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"扫描表情包失败: {str(e)}")
|
||||
logger.error(traceback.format_exc())
|
||||
|
||||
|
||||
except Exception:
|
||||
logger.exception("扫描表情包失败")
|
||||
|
||||
async def _periodic_scan(self, interval_MINS: int = 10):
|
||||
"""定期扫描新表情包"""
|
||||
while True:
|
||||
print("\033[1;36m[表情包]\033[0m 开始扫描新表情包...")
|
||||
logger.info("开始扫描新表情包...")
|
||||
await self.scan_new_emojis()
|
||||
await asyncio.sleep(interval_MINS * 60) # 每600秒扫描一次
|
||||
|
||||
|
||||
def check_emoji_file_integrity(self):
|
||||
"""检查表情包文件完整性
|
||||
如果文件已被删除，则从数据库中移除对应记录
|
||||
@@ -281,7 +349,7 @@ class EmojiManager:
|
||||
all_emojis = list(self.db.db.emoji.find())
|
||||
removed_count = 0
|
||||
total_count = len(all_emojis)
|
||||
|
||||
|
||||
for emoji in all_emojis:
|
||||
try:
|
||||
if 'path' not in emoji:
|
||||
@@ -289,27 +357,27 @@ class EmojiManager:
|
||||
self.db.db.emoji.delete_one({'_id': emoji['_id']})
|
||||
removed_count += 1
|
||||
continue
|
||||
|
||||
|
||||
if 'embedding' not in emoji:
|
||||
logger.warning(f"发现过时记录（缺少embedding字段），ID: {emoji.get('_id', 'unknown')}")
|
||||
self.db.db.emoji.delete_one({'_id': emoji['_id']})
|
||||
removed_count += 1
|
||||
continue
|
||||
|
||||
|
||||
# 检查文件是否存在
|
||||
if not os.path.exists(emoji['path']):
|
||||
logger.warning(f"表情包文件已被删除: {emoji['path']}")
|
||||
# 从数据库中删除记录
|
||||
result = self.db.db.emoji.delete_one({'_id': emoji['_id']})
|
||||
if result.deleted_count > 0:
|
||||
logger.success(f"成功删除数据库记录: {emoji['_id']}")
|
||||
logger.debug(f"成功删除数据库记录: {emoji['_id']}")
|
||||
removed_count += 1
|
||||
else:
|
||||
logger.error(f"删除数据库记录失败: {emoji['_id']}")
|
||||
except Exception as item_error:
|
||||
logger.error(f"处理表情包记录时出错: {str(item_error)}")
|
||||
continue
|
||||
|
||||
|
||||
# 验证清理结果
|
||||
remaining_count = self.db.db.emoji.count_documents({})
|
||||
if removed_count > 0:
|
||||
@@ -317,7 +385,7 @@ class EmojiManager:
|
||||
logger.info(f"清理前总数: {total_count} | 清理后总数: {remaining_count}")
|
||||
else:
|
||||
logger.info(f"已检查 {total_count} 个表情包记录")
|
||||
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"检查表情包完整性失败: {str(e)}")
|
||||
logger.error(traceback.format_exc())
|
||||
@@ -328,6 +396,8 @@ class EmojiManager:
|
||||
await asyncio.sleep(interval_MINS * 60)
|
||||
|
||||
|
||||
|
||||
# 创建全局单例
|
||||
emoji_manager = EmojiManager()
|
||||
|
||||
emoji_manager = EmojiManager()
|
||||
|
||||
|
||||
|
||||
Reference in New Issue
Block a user