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https://github.com/TriM-Organization/LiteyukiBot-TriM.git
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feat: 新版本
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@ -9,7 +9,7 @@ tag:
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### 设备要求
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- Windows系统版本最低`Windows10+`/`Windows Server 2019+`
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- Linux系统要支持Python3.10+,推荐`Ubuntu 20.04+`/`CentOS 8+`
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- Linux系统要支持Python3.10+,推荐`Ubuntu 20.04+`/`CentOS 8+`(~~别用你那b CentOS~~)
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- CPU: 至少`1vCPU`
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- 内存: Bot无其他插件会占用`100MB`,其他插件占用视具体插件而定,建议`1GB`以上
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- 硬盘: 至少`1GB`空间
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@ -12,7 +12,6 @@ from pydantic import BaseModel
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class LiteModel(BaseModel):
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TABLE_NAME: str = None
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id: int = None
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def dump(self, *args, **kwargs):
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if pydantic.__version__ < "1.8.2":
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return self.dict(*args, **kwargs)
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@ -88,7 +87,7 @@ class Database:
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if not model.TABLE_NAME:
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raise ValueError(f"数据模型 {model.__class__.__name__} 未提供表名")
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elif model.TABLE_NAME not in table_list:
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raise ValueError(f"数据模型 {model.__class__.__name__} 的表 {model.TABLE_NAME} 不存在,请先迁移")
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raise ValueError(f"数据模型 {model.__class__.__name__} 表 {model.TABLE_NAME} 不存在,请先迁移")
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else:
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self._save(model.dump(by_alias=True))
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@ -42,6 +42,7 @@ def load_from_lang(file_path: str, lang_code: str = None):
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if lang_code not in _language_data:
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_language_data[lang_code] = {}
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_language_data[lang_code].update(data)
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nonebot.logger.debug(f"Loaded language data from {file_path}")
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except Exception as e:
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nonebot.logger.error(f"Failed to load language data from {file_path}: {e}")
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@ -62,6 +63,7 @@ def load_from_json(file_path: str, lang_code: str = None):
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if lang_code not in _language_data:
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_language_data[lang_code] = {}
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_language_data[lang_code].update(data)
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nonebot.logger.debug(f"Loaded language data from {file_path}")
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except Exception as e:
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nonebot.logger.error(f"Failed to load language data from {file_path}: {e}")
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