diff --git a/config/bot_config_template.toml b/config/bot_config_template.toml index 3287b3d20..507c6d2d6 100644 --- a/config/bot_config_template.toml +++ b/config/bot_config_template.toml @@ -22,7 +22,7 @@ check_interval = 120 # 检查表情包的时间间隔 register_interval = 10 # 注册表情包的时间间隔 auto_save = true # 自动偷表情包 enable_check = false # 是否启用表情包过滤 -check_prompt = "不要包含违反公序良俗的内容" # 表情包过滤要求 +check_prompt = "符合公序良俗" # 表情包过滤要求 [cq_code] enable_pic_translate = false diff --git a/src/plugins/chat/config.py b/src/plugins/chat/config.py index 6cb8b9fee..a2adc9e30 100644 --- a/src/plugins/chat/config.py +++ b/src/plugins/chat/config.py @@ -32,7 +32,7 @@ class BotConfig: EMOJI_REGISTER_INTERVAL: int = 10 # 表情包注册间隔(分钟) EMOJI_SAVE: bool = True # 偷表情包 EMOJI_CHECK: bool = False #是否开启过滤 - EMOJI_CHECK_PROMPT: str = "不要包含违反公序良俗的内容" # 表情包过滤要求 + EMOJI_CHECK_PROMPT: str = "符合公序良俗" # 表情包过滤要求 ban_words = set() diff --git a/src/plugins/chat/emoji_manager.py b/src/plugins/chat/emoji_manager.py index 3592bd09b..1cdb62c07 100644 --- a/src/plugins/chat/emoji_manager.py +++ b/src/plugins/chat/emoji_manager.py @@ -98,7 +98,7 @@ class EmojiManager: # 获取文本的embedding text_for_search= await self._get_kimoji_for_text(text) - text_embedding = get_embedding(text_for_search) + text_embedding = await get_embedding(text_for_search) if not text_embedding: logger.error("无法获取文本的embedding") return None @@ -299,7 +299,7 @@ class EmojiManager: logger.info(f"其不满足过滤规则,被剔除 {check}") continue logger.info(f"check通过 {check}") - embedding = get_embedding(discription) + embedding = await get_embedding(discription) if discription is not None: # 准备数据库记录 emoji_record = { diff --git a/src/plugins/memory_system/memory.py b/src/plugins/memory_system/memory.py index 49d19c253..a25e15bdf 100644 --- a/src/plugins/memory_system/memory.py +++ b/src/plugins/memory_system/memory.py @@ -673,7 +673,7 @@ class Hippocampus: if first_layer: # 如果记忆条数超过限制,随机选择指定数量的记忆 if len(first_layer) > max_memory_num/2: - first_layer = random.sample(first_layer, max_memory_num) + first_layer = random.sample(first_layer, max_memory_num//2) # 为每条记忆添加来源主题和相似度信息 for memory in first_layer: relevant_memories.append({