import os import pickle import sqlite3 from types import NoneType from typing import Any from packaging.version import parse import nonebot import pydantic from pydantic import BaseModel class LiteModel(BaseModel): TABLE_NAME: str = None id: int = None def dump(self, *args, **kwargs): if parse(pydantic.__version__) < parse("2.0.0"): return self.dict(*args, **kwargs) else: return self.model_dump(*args, **kwargs) class Database: def __init__(self, db_name: str): if os.path.dirname(db_name) != "" and not os.path.exists(os.path.dirname(db_name)): os.makedirs(os.path.dirname(db_name)) self.db_name = db_name self.conn = sqlite3.connect(db_name) self.cursor = self.conn.cursor() def first(self, model: LiteModel, condition: str = "", *args: Any, default: Any = None) -> LiteModel | Any | None: """查询第一个 Args: model: 数据模型实例 condition: 查询条件，不给定则查询所有 *args: 参数化查询参数 default: 默认值 Returns: """ all_results = self.all(model, condition, *args) return all_results[0] if all_results else default def all(self, model: LiteModel, condition: str = "", *args: Any, default: Any = None) -> list[LiteModel | Any] | None: """查询所有 Args: model: 数据模型实例 condition: 查询条件，不给定则查询所有 *args: 参数化查询参数 default: 默认值 Returns: """ table_name = model.TABLE_NAME model_type = type(model) nonebot.logger.debug(f"Selecting {model_type} WHERE {condition} {args}") if not table_name: raise ValueError(f"数据模型{model_type.__name__}未提供表名") # condition = f"WHERE {condition}" # print(f"SELECT * FROM {table_name} {condition}", args) # if len(args) == 0: # results = self.cursor.execute(f"SELECT * FROM {table_name} {condition}").fetchall() # else: # results = self.cursor.execute(f"SELECT * FROM {table_name} {condition}", args).fetchall() if condition: results = self.cursor.execute(f"SELECT * FROM {table_name} WHERE {condition}", args).fetchall() else: results = self.cursor.execute(f"SELECT * FROM {table_name}").fetchall() fields = [description[0] for description in self.cursor.description] if not results: return default else: return [model_type(**self._load(dict(zip(fields, result)))) for result in results] def upsert(self, *args: LiteModel): """增/改操作 Args: *args: Returns: """ table_list = [item[0] for item in self.cursor.execute("SELECT name FROM sqlite_master WHERE type='table'").fetchall()] for model in args: nonebot.logger.debug(f"Upserting {model}") if not model.TABLE_NAME: raise ValueError(f"数据模型 {model.__class__.__name__} 未提供表名") elif model.TABLE_NAME not in table_list: raise ValueError(f"数据模型 {model.__class__.__name__} 表 {model.TABLE_NAME} 不存在，请先迁移") else: self._save(model.dump(by_alias=True)) def _save(self, obj: Any) -> Any: # obj = copy.deepcopy(obj) if isinstance(obj, dict): table_name = obj.get("TABLE_NAME") row_id = obj.get("id") new_obj = {} for field, value in obj.items(): if isinstance(value, self.ITERABLE_TYPE): new_obj[self._get_stored_field_prefix(value) + field] = self._save(value) # self._save(value) # -> bytes elif isinstance(value, self.BASIC_TYPE): new_obj[field] = value else: 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)}") if table_name: fields, values = [], [] for n_field, n_value in new_obj.items(): if n_field not in ["TABLE_NAME", "id"]: fields.append(n_field) values.append(n_value) # 移除TABLE_NAME和id fields = list(fields) values = list(values) if row_id is not None: # 如果 _id 不为空，将 'id' 插入到字段列表的开始 fields.insert(0, 'id') # 将 _id 插入到值列表的开始 values.insert(0, row_id) fields = ', '.join([f'"{field}"' for field in fields]) placeholders = ', '.join('?' for _ in values) self.cursor.execute(f"INSERT OR REPLACE INTO {table_name}({fields}) VALUES ({placeholders})", tuple(values)) self.conn.commit() foreign_id = self.cursor.execute("SELECT last_insert_rowid()").fetchone()[0] return f"{self.FOREIGN_KEY_PREFIX}{foreign_id}@{table_name}" # -> FOREIGN_KEY_123456@{table_name} id@{table_name} else: return pickle.dumps(new_obj) # -> bytes elif isinstance(obj, (list, set, tuple)): obj_type = type(obj) # 到时候转回去 new_obj = [] for item in obj: if isinstance(item, self.ITERABLE_TYPE): new_obj.append(self._save(item)) elif isinstance(item, self.BASIC_TYPE): new_obj.append(item) else: raise ValueError(f"数据模型包含不支持的数据类型，值：{item} 值类型：{type(item)}") return pickle.dumps(obj_type(new_obj)) # -> bytes else: raise ValueError(f"数据模型包含不支持的数据类型，值：{obj} 值类型：{type(obj)}") def _load(self, obj: Any) -> Any: if isinstance(obj, dict): new_obj = {} for field, value in obj.items(): field: str if field.startswith(self.BYTES_PREFIX): new_obj[field.replace(self.BYTES_PREFIX, "")] = self._load(pickle.loads(value)) elif field.startswith(self.FOREIGN_KEY_PREFIX): new_obj[field.replace(self.FOREIGN_KEY_PREFIX, "")] = self._load(self._get_foreign_data(value)) else: new_obj[field] = value return new_obj elif isinstance(obj, (list, set, tuple)): new_obj = [] for item in obj: if isinstance(item, bytes): # 对bytes进行尝试解析，解析失败则返回原始bytes try: new_obj.append(self._load(pickle.loads(item))) except Exception as e: new_obj.append(self._load(item)) elif isinstance(item, str) and item.startswith(self.FOREIGN_KEY_PREFIX): new_obj.append(self._load(self._get_foreign_data(item))) else: new_obj.append(self._load(item)) return new_obj else: return obj def delete(self, model: LiteModel, condition: str, *args: Any, allow_empty: bool = False): """ 删除满足条件的数据 Args: allow_empty: 允许空条件删除整个表 model: condition: *args: Returns: """ table_name = model.TABLE_NAME nonebot.logger.debug(f"Deleting {model} WHERE {condition} {args}") if not table_name: raise ValueError(f"数据模型{model.__class__.__name__}未提供表名") if model.id is not None: condition = f"id = {model.id}" if not condition and not allow_empty: raise ValueError("删除操作必须提供条件") self.cursor.execute(f"DELETE FROM {table_name} WHERE {condition}", args) self.conn.commit() def auto_migrate(self, *args: LiteModel): """ 自动迁移模型 Args: *args: 模型类实例化对象，支持空默认值，不支持嵌套迁移 Returns: """ for model in args: if not model.TABLE_NAME: raise ValueError(f"数据模型{type(model).__name__}未提供表名") # 若无则创建表 self.cursor.execute( f'CREATE TABLE IF NOT EXISTS "{model.TABLE_NAME}" (id INTEGER PRIMARY KEY AUTOINCREMENT)' ) # 获取表结构,field -> SqliteType new_structure = {} for n_field, n_value in model.dump(by_alias=True).items(): if n_field not in ["TABLE_NAME", "id"]: new_structure[self._get_stored_field_prefix(n_value) + n_field] = self._get_stored_type(n_value) # 原有的字段列表 existing_structure = dict([(column[1], column[2]) for column in self.cursor.execute(f'PRAGMA table_info({model.TABLE_NAME})').fetchall()]) # 检测缺失字段，由于SQLite是动态类型，所以不需要检测类型 for n_field, n_type in new_structure.items(): if n_field not in existing_structure.keys() and n_field.lower() not in ["id", "table_name"]: default_value = self.DEFAULT_MAPPING.get(n_type, 'NULL') self.cursor.execute( f"ALTER TABLE '{model.TABLE_NAME}' ADD COLUMN {n_field} {n_type} DEFAULT {self.DEFAULT_MAPPING.get(n_type, default_value)}" ) # 检测多余字段进行删除 for e_field in existing_structure.keys(): if e_field not in new_structure.keys() and e_field.lower() not in ['id']: self.cursor.execute( f'ALTER TABLE "{model.TABLE_NAME}" DROP COLUMN "{e_field}"' ) self.conn.commit() # 已完成 def _get_stored_field_prefix(self, value) -> str: """根据类型获取存储字段前缀，一定在后加上字段名 * -> "" Args: value: 储存的值 Returns: Sqlite3存储字段 """ if isinstance(value, LiteModel) or isinstance(value, dict) and "TABLE_NAME" in value: return self.FOREIGN_KEY_PREFIX elif type(value) in self.ITERABLE_TYPE: return self.BYTES_PREFIX return "" def _get_stored_type(self, value) -> str: """获取存储类型 Args: value: 储存的值 Returns: Sqlite3存储类型 """ if isinstance(value, dict) and "TABLE_NAME" in value: # 是一个模型字典，储存外键 return "INTEGER" return self.TYPE_MAPPING.get(type(value), "TEXT") def _get_foreign_data(self, foreign_value: str) -> dict: """ 获取外键数据 Args: foreign_value: Returns: """ foreign_value = foreign_value.replace(self.FOREIGN_KEY_PREFIX, "") table_name = foreign_value.split("@")[-1] foreign_id = foreign_value.split("@")[0] fields = [description[1] for description in self.cursor.execute(f"PRAGMA table_info({table_name})").fetchall()] result = self.cursor.execute(f"SELECT * FROM {table_name} WHERE id = ?", (foreign_id,)).fetchone() return dict(zip(fields, result)) TYPE_MAPPING = { int : "INTEGER", float : "REAL", str : "TEXT", bool : "INTEGER", bytes : "BLOB", NoneType : "NULL", # dict : "TEXT", # list : "TEXT", # tuple : "TEXT", # set : "TEXT", dict : "BLOB", # LITEYUKIDICT{key_name} list : "BLOB", # LITEYUKILIST{key_name} tuple : "BLOB", # LITEYUKITUPLE{key_name} set : "BLOB", # LITEYUKISET{key_name} LiteModel: "TEXT" # FOREIGN_KEY_{table_name} } DEFAULT_MAPPING = { "TEXT" : "''", "INTEGER": 0, "REAL" : 0.0, "BLOB" : None, "NULL" : None } # 基础类型 BASIC_TYPE = (int, float, str, bool, bytes, NoneType) # 可序列化类型 ITERABLE_TYPE = (dict, list, tuple, set, LiteModel) # 外键前缀 FOREIGN_KEY_PREFIX = "FOREIGN_KEY_" # 转换为的字节前缀 BYTES_PREFIX = "PICKLE_BYTES_" def check_sqlite_keyword(name): sqlite_keywords = [ "ABORT", "ACTION", "ADD", "AFTER", "ALL", "ALTER", "ANALYZE", "AND", "AS", "ASC", "ATTACH", "AUTOINCREMENT", "BEFORE", "BEGIN", "BETWEEN", "BY", "CASCADE", "CASE", "CAST", "CHECK", "COLLATE", "COLUMN", "COMMIT", "CONFLICT", "CONSTRAINT", "CREATE", "CROSS", "CURRENT_DATE", "CURRENT_TIME", "CURRENT_TIMESTAMP", "DATABASE", "DEFAULT", "DEFERRABLE", "DEFERRED", "DELETE", "DESC", "DETACH", "DISTINCT", "DROP", "EACH", "ELSE", "END", "ESCAPE", "EXCEPT", "EXCLUSIVE", "EXISTS", "EXPLAIN", "FAIL", "FOR", "FOREIGN", "FROM", "FULL", "GLOB", "GROUP", "HAVING", "IF", "IGNORE", "IMMEDIATE", "IN", "INDEX", "INDEXED", "INITIALLY", "INNER", "INSERT", "INSTEAD", "INTERSECT", "INTO", "IS", "ISNULL", "JOIN", "KEY", "LEFT", "LIKE", "LIMIT", "MATCH", "NATURAL", "NO", "NOT", "NOTNULL", "NULL", "OF", "OFFSET", "ON", "OR", "ORDER", "OUTER", "PLAN", "PRAGMA", "PRIMARY", "QUERY", "RAISE", "RECURSIVE", "REFERENCES", "REGEXP", "REINDEX", "RELEASE", "RENAME", "REPLACE", "RESTRICT", "RIGHT", "ROLLBACK", "ROW", "SAVEPOINT", "SELECT", "SET", "TABLE", "TEMP", "TEMPORARY", "THEN", "TO", "TRANSACTION", "TRIGGER", "UNION", "UNIQUE", "UPDATE", "USING", "VACUUM", "VALUES", "VIEW", "VIRTUAL", "WHEN", "WHERE", "WITH", "WITHOUT" ] return True # if name.upper() in sqlite_keywords: # raise ValueError(f"'{name}' 是SQLite保留字，不建议使用，请更换名称")