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.TABLE_NAME} WHERE {condition.replace('?', '%s') % 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 save(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")