from typing import Optional from src.common.logger import get_logger from src.config.config import global_config logger = get_logger("common_utils") class TempMethodsExpression: """用于临时存放一些方法的类""" @staticmethod def _find_expression_config_item(chat_stream_id: Optional[str] = None): if not global_config.expression.learning_list: return None if chat_stream_id: for config_item in global_config.expression.learning_list: if not config_item.platform and not config_item.item_id: continue stream_id = TempMethodsExpression._get_stream_id( config_item.platform, str(config_item.item_id), (config_item.rule_type == "group"), ) if stream_id is None: continue if stream_id != chat_stream_id: continue return config_item for config_item in global_config.expression.learning_list: if not config_item.platform and not config_item.item_id: return config_item return None @staticmethod def get_expression_config_for_chat(chat_stream_id: Optional[str] = None) -> tuple[bool, bool, bool]: """ 根据聊天流 ID 获取表达配置。 Args: chat_stream_id: 聊天流 ID,格式为哈希值 Returns: tuple: (是否使用表达, 是否学习表达, 是否启用 jargon 学习) """ config_item = TempMethodsExpression._find_expression_config_item(chat_stream_id) if config_item is None: return True, True, True return ( config_item.use_expression, config_item.enable_learning, config_item.enable_jargon_learning, ) @staticmethod def _get_stream_id( platform: str, id_str: str, is_group: bool = False, ) -> Optional[str]: """ 根据平台、ID 字符串和是否为群聊生成聊天流 ID。 Args: platform: 平台名称 id_str: 用户或群组的原始 ID 字符串 is_group: 是否为群聊 Returns: str: 生成的聊天流 ID(哈希值) """ try: from src.common.utils.utils_session import SessionUtils if is_group: return SessionUtils.calculate_session_id(platform, group_id=str(id_str)) else: return SessionUtils.calculate_session_id(platform, user_id=str(id_str)) except Exception as e: logger.error(f"生成聊天流 ID 失败: {e}") return None