mirror of
https://github.com/LiteyukiStudio/LiteyukiBot.git
synced 2024-11-23 07:57:37 +08:00
359 lines
14 KiB
Python
359 lines
14 KiB
Python
import os
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import pickle
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import sqlite3
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from types import NoneType
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from typing import Any
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import nonebot
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import pydantic
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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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else:
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return self.model_dump(*args, **kwargs)
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class Database:
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def __init__(self, db_name: str):
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if os.path.dirname(db_name) != "" and not os.path.exists(os.path.dirname(db_name)):
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os.makedirs(os.path.dirname(db_name))
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self.db_name = db_name
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self.conn = sqlite3.connect(db_name)
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self.cursor = self.conn.cursor()
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def first(self, model: LiteModel, condition: str = "", *args: Any, default: Any = None) -> LiteModel | Any | None:
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"""查询第一个
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Args:
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model: 数据模型实例
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condition: 查询条件，不给定则查询所有
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*args: 参数化查询参数
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default: 默认值
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Returns:
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"""
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all_results = self.all(model, condition, *args)
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return all_results[0] if all_results else default
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def all(self, model: LiteModel, condition: str = "", *args: Any, default: Any = None) -> list[LiteModel | Any] | None:
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"""查询所有
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Args:
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model: 数据模型实例
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condition: 查询条件，不给定则查询所有
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*args: 参数化查询参数
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default: 默认值
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Returns:
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"""
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table_name = model.TABLE_NAME
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model_type = type(model)
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if not table_name:
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raise ValueError(f"数据模型{model_type.__name__}未提供表名")
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# condition = f"WHERE {condition}"
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# print(f"SELECT * FROM {table_name} {condition}", args)
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# if len(args) == 0:
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# results = self.cursor.execute(f"SELECT * FROM {table_name} {condition}").fetchall()
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# else:
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# results = self.cursor.execute(f"SELECT * FROM {table_name} {condition}", args).fetchall()
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if condition:
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results = self.cursor.execute(f"SELECT * FROM {table_name} WHERE {condition}", args).fetchall()
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else:
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results = self.cursor.execute(f"SELECT * FROM {table_name}").fetchall()
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fields = [description[0] for description in self.cursor.description]
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if not results:
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return default
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else:
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return [model_type(**self._load(dict(zip(fields, result)))) for result in results]
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def upsert(self, *args: LiteModel):
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"""增/改操作
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Args:
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*args:
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Returns:
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"""
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table_list = [item[0] for item in self.cursor.execute("SELECT name FROM sqlite_master WHERE type='table'").fetchall()]
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for model in args:
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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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else:
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self._save(model.dump(by_alias=True))
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def _save(self, obj: Any) -> Any:
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# obj = copy.deepcopy(obj)
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if isinstance(obj, dict):
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table_name = obj.get("TABLE_NAME")
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row_id = obj.get("id")
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new_obj = {}
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for field, value in obj.items():
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if isinstance(value, self.ITERABLE_TYPE):
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new_obj[self._get_stored_field_prefix(value) + field] = self._save(value) # self._save(value) # -> bytes
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elif isinstance(value, self.BASIC_TYPE):
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new_obj[field] = value
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else:
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raise ValueError(f"数据模型{table_name}包含不支持的数据类型，字段：{field} 值：{value} 值类型：{type(value)}")
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if table_name:
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fields, values = [], []
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for n_field, n_value in new_obj.items():
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if n_field not in ["TABLE_NAME", "id"]:
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fields.append(n_field)
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values.append(n_value)
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# 移除TABLE_NAME和id
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fields = list(fields)
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values = list(values)
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if row_id is not None:
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# 如果 _id 不为空，将 'id' 插入到字段列表的开始
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fields.insert(0, 'id')
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# 将 _id 插入到值列表的开始
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values.insert(0, row_id)
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fields = ', '.join([f'"{field}"' for field in fields])
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placeholders = ', '.join('?' for _ in values)
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self.cursor.execute(f"INSERT OR REPLACE INTO {table_name}({fields}) VALUES ({placeholders})", tuple(values))
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self.conn.commit()
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foreign_id = self.cursor.execute("SELECT last_insert_rowid()").fetchone()[0]
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return f"{self.FOREIGN_KEY_PREFIX}{foreign_id}@{table_name}" # -> FOREIGN_KEY_123456@{table_name} id@{table_name}
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else:
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return pickle.dumps(new_obj) # -> bytes
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elif isinstance(obj, (list, set, tuple)):
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obj_type = type(obj) # 到时候转回去
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new_obj = []
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for item in obj:
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if isinstance(item, self.ITERABLE_TYPE):
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new_obj.append(self._save(item))
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elif isinstance(item, self.BASIC_TYPE):
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new_obj.append(item)
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else:
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raise ValueError(f"数据模型包含不支持的数据类型，值：{item} 值类型：{type(item)}")
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return pickle.dumps(obj_type(new_obj)) # -> bytes
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else:
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raise ValueError(f"数据模型包含不支持的数据类型，值：{obj} 值类型：{type(obj)}")
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def _load(self, obj: Any) -> Any:
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if isinstance(obj, dict):
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new_obj = {}
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for field, value in obj.items():
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field: str
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if field.startswith(self.BYTES_PREFIX):
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new_obj[field.replace(self.BYTES_PREFIX, "")] = self._load(pickle.loads(value))
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elif field.startswith(self.FOREIGN_KEY_PREFIX):
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new_obj[field.replace(self.FOREIGN_KEY_PREFIX, "")] = self._load(self._get_foreign_data(value))
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else:
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new_obj[field] = value
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return new_obj
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elif isinstance(obj, (list, set, tuple)):
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print(" - Load as List")
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new_obj = []
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for item in obj:
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print(" - Loading Item", item)
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if isinstance(item, bytes):
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# 对bytes进行尝试解析，解析失败则返回原始bytes
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try:
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new_obj.append(self._load(pickle.loads(item)))
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except Exception as e:
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new_obj.append(self._load(item))
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print(" - Load as Bytes | Result:", new_obj[-1])
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elif isinstance(item, str) and item.startswith(self.FOREIGN_KEY_PREFIX):
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new_obj.append(self._load(self._get_foreign_data(item)))
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else:
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new_obj.append(self._load(item))
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return new_obj
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else:
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return obj
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def delete(self, model: LiteModel, condition: str, *args: Any, allow_empty: bool = False):
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"""
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删除满足条件的数据
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Args:
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allow_empty: 允许空条件删除整个表
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model:
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condition:
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*args:
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Returns:
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"""
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table_name = model.TABLE_NAME
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if not 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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if not condition and not allow_empty:
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raise ValueError("删除操作必须提供条件")
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self.cursor.execute(f"DELETE FROM {table_name} WHERE {condition}", args)
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def auto_migrate(self, *args: LiteModel):
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"""
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自动迁移模型
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Args:
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*args: 模型类实例化对象，支持空默认值，不支持嵌套迁移
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Returns:
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"""
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for model in args:
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if not model.TABLE_NAME:
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raise ValueError(f"数据模型{type(model).__name__}未提供表名")
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# 若无则创建表
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self.cursor.execute(
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f'CREATE TABLE IF NOT EXISTS "{model.TABLE_NAME}" (id INTEGER PRIMARY KEY AUTOINCREMENT)'
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)
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# 获取表结构,field -> SqliteType
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new_structure = {}
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for n_field, n_value in model.dump(by_alias=True).items():
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if n_field not in ["TABLE_NAME", "id"]:
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new_structure[self._get_stored_field_prefix(n_value) + n_field] = self._get_stored_type(n_value)
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# 原有的字段列表
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existing_structure = dict([(column[1], column[2]) for column in self.cursor.execute(f'PRAGMA table_info({model.TABLE_NAME})').fetchall()])
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# 检测缺失字段，由于SQLite是动态类型，所以不需要检测类型
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for n_field, n_type in new_structure.items():
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if n_field not in existing_structure.keys() and n_field.lower() not in ["id", "table_name"]:
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default_value = self.DEFAULT_MAPPING.get(n_type, 'NULL')
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self.cursor.execute(
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f"ALTER TABLE '{model.TABLE_NAME}' ADD COLUMN {n_field} {n_type} DEFAULT {self.DEFAULT_MAPPING.get(n_type, default_value)}"
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)
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# 检测多余字段进行删除
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for e_field in existing_structure.keys():
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if e_field not in new_structure.keys() and e_field.lower() not in ['id']:
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self.cursor.execute(
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f'ALTER TABLE "{model.TABLE_NAME}" DROP COLUMN "{e_field}"'
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)
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self.conn.commit()
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# 已完成
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def _get_stored_field_prefix(self, value) -> str:
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"""根据类型获取存储字段前缀，一定在后加上字段名
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* -> ""
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Args:
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value: 储存的值
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Returns:
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Sqlite3存储字段
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"""
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if isinstance(value, LiteModel) or isinstance(value, dict) and "TABLE_NAME" in value:
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return self.FOREIGN_KEY_PREFIX
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elif type(value) in self.ITERABLE_TYPE:
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return self.BYTES_PREFIX
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return ""
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def _get_stored_type(self, value) -> str:
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"""获取存储类型
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Args:
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value: 储存的值
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Returns:
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Sqlite3存储类型
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"""
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if isinstance(value, dict) and "TABLE_NAME" in value:
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# 是一个模型字典，储存外键
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return "INTEGER"
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return self.TYPE_MAPPING.get(type(value), "TEXT")
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def _get_foreign_data(self, foreign_value: str) -> dict:
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"""
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获取外键数据
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Args:
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foreign_value:
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Returns:
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"""
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foreign_value = foreign_value.replace(self.FOREIGN_KEY_PREFIX, "")
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table_name = foreign_value.split("@")[-1]
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foreign_id = foreign_value.split("@")[0]
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fields = [description[1] for description in self.cursor.execute(f"PRAGMA table_info({table_name})").fetchall()]
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result = self.cursor.execute(f"SELECT * FROM {table_name} WHERE id = ?", (foreign_id,)).fetchone()
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return dict(zip(fields, result))
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TYPE_MAPPING = {
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int : "INTEGER",
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float : "REAL",
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str : "TEXT",
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bool : "INTEGER",
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bytes : "BLOB",
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NoneType : "NULL",
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# dict : "TEXT",
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# list : "TEXT",
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# tuple : "TEXT",
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# set : "TEXT",
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dict : "BLOB", # LITEYUKIDICT{key_name}
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list : "BLOB", # LITEYUKILIST{key_name}
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tuple : "BLOB", # LITEYUKITUPLE{key_name}
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set : "BLOB", # LITEYUKISET{key_name}
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LiteModel: "TEXT" # FOREIGN_KEY_{table_name}
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}
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DEFAULT_MAPPING = {
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"TEXT" : "''",
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"INTEGER": 0,
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"REAL" : 0.0,
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"BLOB" : None,
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"NULL" : None
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}
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# 基础类型
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BASIC_TYPE = (int, float, str, bool, bytes, NoneType)
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# 可序列化类型
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ITERABLE_TYPE = (dict, list, tuple, set, LiteModel)
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# 外键前缀
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FOREIGN_KEY_PREFIX = "FOREIGN_KEY_"
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# 转换为的字节前缀
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BYTES_PREFIX = "PICKLE_BYTES_"
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def check_sqlite_keyword(name):
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sqlite_keywords = [
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"ABORT", "ACTION", "ADD", "AFTER", "ALL", "ALTER", "ANALYZE", "AND", "AS", "ASC",
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"ATTACH", "AUTOINCREMENT", "BEFORE", "BEGIN", "BETWEEN", "BY", "CASCADE", "CASE",
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"CAST", "CHECK", "COLLATE", "COLUMN", "COMMIT", "CONFLICT", "CONSTRAINT", "CREATE",
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"CROSS", "CURRENT_DATE", "CURRENT_TIME", "CURRENT_TIMESTAMP", "DATABASE", "DEFAULT",
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"DEFERRABLE", "DEFERRED", "DELETE", "DESC", "DETACH", "DISTINCT", "DROP", "EACH",
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"ELSE", "END", "ESCAPE", "EXCEPT", "EXCLUSIVE", "EXISTS", "EXPLAIN", "FAIL", "FOR",
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"FOREIGN", "FROM", "FULL", "GLOB", "GROUP", "HAVING", "IF", "IGNORE", "IMMEDIATE",
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"IN", "INDEX", "INDEXED", "INITIALLY", "INNER", "INSERT", "INSTEAD", "INTERSECT",
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"INTO", "IS", "ISNULL", "JOIN", "KEY", "LEFT", "LIKE", "LIMIT", "MATCH", "NATURAL",
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"NO", "NOT", "NOTNULL", "NULL", "OF", "OFFSET", "ON", "OR", "ORDER", "OUTER", "PLAN",
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"PRAGMA", "PRIMARY", "QUERY", "RAISE", "RECURSIVE", "REFERENCES", "REGEXP", "REINDEX",
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"RELEASE", "RENAME", "REPLACE", "RESTRICT", "RIGHT", "ROLLBACK", "ROW", "SAVEPOINT",
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"SELECT", "SET", "TABLE", "TEMP", "TEMPORARY", "THEN", "TO", "TRANSACTION", "TRIGGER",
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"UNION", "UNIQUE", "UPDATE", "USING", "VACUUM", "VALUES", "VIEW", "VIRTUAL", "WHEN",
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"WHERE", "WITH", "WITHOUT"
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]
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return True
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# if name.upper() in sqlite_keywords:
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# raise ValueError(f"'{name}' 是SQLite保留字，不建议使用，请更换名称")
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