forked from bot/app
update: Liteyuki ORM
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63
db_test2.py
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63
db_test2.py
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@ -0,0 +1,63 @@
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import json
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import random
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from src.api.data import LiteModel, SqliteORMAdapter
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class Score(LiteModel):
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subject: str
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score: int
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class Student(LiteModel):
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name: str
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age: str
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sex: str
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scores: list[Score] = []
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class Teacher(LiteModel):
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name: str
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age: str
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class Class(LiteModel):
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name: str
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students: list[Student]
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test_json: dict[str, Student] = {'张三': Student}
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class University(LiteModel):
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name: str
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address: str
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rank: int = 0
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classes: list[Class] = []
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students: list[Student] = []
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cqupt = University(name='重庆邮电大学', address='重庆', rank=100)
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pku = University(name='北京大学', address='北京', rank=1)
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cqu = University(name='重庆大学', address='重庆', rank=10)
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student_name_list = ['张三', '李四', '王五', '赵六', '钱七', '孙八', '周九', '吴十']
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student_list = [Student(name=name, age=19, sex=random.choice(['男', '女'])) for name in student_name_list]
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# 构建复杂模型进行数据库测试
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cqupt.students = student_list
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cqupt.classes = [Class(name='软件工程', students=student_list, test_json={name: student for name, student in zip(student_name_list, student_list)})]
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for student in student_list:
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student.scores = [Score(subject='语文', score=random.randint(60, 100)), Score(subject='数学', score=random.randint(60, 100)),
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Score(subject='英语', score=random.randint(60, 100))]
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student.scores.append(Score(subject='物理', score=random.randint(60, 100)))
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student.scores.append(Score(subject='化学', score=random.randint(60, 100)))
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student.scores.append(Score(subject='生物', score=random.randint(60, 100)))
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student.scores.append(Score(subject='历史', score=random.randint(60, 100)))
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student.scores.append(Score(subject='地理', score=random.randint(60, 100)))
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student.scores.append(Score(subject='政治', score=random.randint(60, 100))
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)
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print(json.dumps(cqupt.dict(), indent=4, ensure_ascii=False))
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db = SqliteORMAdapter('test2.db')
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db.auto_migrate(University, Class, Student, Score)
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db.save(cqupt)
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# 查询测试
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db.first(University, 'name = ?', '重庆邮电大学')
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236
src/api/data.py
236
src/api/data.py
@ -1,7 +1,10 @@
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import json
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import sqlite3
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import types
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import typing
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from abc import ABC
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from collections.abc import Iterable
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from copy import deepcopy
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from typing import Any
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from pydantic import BaseModel
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@ -10,7 +13,10 @@ BaseIterable = list | tuple | set | dict
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class LiteModel(BaseModel):
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pass
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"""轻量级模型基类
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类型注解统一使用Python3.9的PEP585标准，如需使用泛型请使用typing模块的泛型类型
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"""
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id: Any = None
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class BaseORMAdapter(ABC):
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@ -67,6 +73,11 @@ class BaseORMAdapter(ABC):
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class SqliteORMAdapter(BaseORMAdapter):
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"""SQLiteORM适配器，严禁使用FORIEGNID和JSON作为主键前缀，严禁使用$ID:作为字符串值前缀
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Attributes:
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"""
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type_map = {
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# default: TEXT
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str : 'TEXT',
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@ -75,60 +86,79 @@ class SqliteORMAdapter(BaseORMAdapter):
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bool : 'INTEGER',
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list : 'TEXT'
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}
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FOREIGNID = 'FOREIGNID'
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JSON = 'JSON'
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ID = '$ID'
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def __init__(self, db_name: str):
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super().__init__()
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self.conn = sqlite3.connect(db_name)
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self.conn.row_factory = sqlite3.Row
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self.cursor = self.conn.cursor()
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def auto_migrate(self, *args: LiteModel):
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def auto_migrate(self, *args: type(LiteModel)):
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"""自动迁移，检测新模型字段和原有表字段的差异，如有差异自动增删新字段
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Args:
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*args:
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*args: 模型类
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Returns:
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"""
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for model in args:
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# 检测并创建表
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self.cursor.execute(f'CREATE TABLE IF NOT EXISTS {model.__name__}(id INTEGER PRIMARY KEY AUTOINCREMENT)')
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model: type(LiteModel)
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# 检测并创建表，若模型未定义id字段则使用自增主键，有定义的话使用id字段，且id有可能为字符串
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table_name = model.__name__
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if 'id' in model.__annotations__ and model.__annotations__['id'] is not None:
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# 如果模型定义了id字段，那么使用模型的id字段
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id_type = self.type_map.get(model.__annotations__['id'], 'TEXT')
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self.cursor.execute(f'CREATE TABLE IF NOT EXISTS {table_name} (id {id_type} PRIMARY KEY)')
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else:
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# 如果模型未定义id字段，那么使用自增主键
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self.cursor.execute(f'CREATE TABLE IF NOT EXISTS {table_name} (id INTEGER PRIMARY KEY AUTOINCREMENT)')
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# 获取表字段
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self.cursor.execute(f'PRAGMA table_info({model.__name__})')
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self.cursor.execute(f'PRAGMA table_info({table_name})')
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table_fields = self.cursor.fetchall()
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table_fields = [field[1] for field in table_fields]
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# 获取模型字段
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model_fields = model.__dict__.keys()
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# 获取模型字段类型
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model_types = [self.type_map.get(type(model.__dict__[field]), 'TEXT') for field in model_fields]
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# 获取模型字段默认值
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model_defaults = [model.__dict__[field] for field in model_fields]
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raw_fields = model.__annotations__.keys()
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# 获取模型字段，若有模型则添加FOREIGNID前缀，若为BaseIterable则添加JSON前缀，用多行if判断
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model_fields = []
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model_types = []
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for field in raw_fields:
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if isinstance(model.__annotations__[field], type(LiteModel)):
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model_fields.append(f'{self.FOREIGNID}{field}')
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model_types.append('TEXT')
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elif isinstance(model.__annotations__[field], types.GenericAlias):
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model_fields.append(f'{self.JSON}{field}')
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model_types.append('TEXT')
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else:
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model_fields.append(field)
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model_types.append(self.type_map.get(model.__annotations__[field], 'TEXT'))
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# 检测新字段
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for field, type_, default in zip(model_fields, model_types, model_defaults):
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for field, type_ in zip(model_fields, model_types):
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if field not in table_fields:
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self.cursor.execute(f'ALTER TABLE {model.__name__} ADD COLUMN {field} {type_} DEFAULT {default}')
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print(f'ALTER TABLE {table_name} ADD COLUMN {field} {type_}')
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self.cursor.execute(f'ALTER TABLE {table_name} ADD COLUMN {field} {type_}')
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# 检测多余字段
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# 检测多余字段，除了id字段
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for field in table_fields:
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if field not in model_fields:
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self.cursor.execute(f'ALTER TABLE {model.__name__} DROP COLUMN {field}')
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if field not in model_fields and field != 'id':
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self.cursor.execute(f'ALTER TABLE {table_name} DROP COLUMN {field}')
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self.conn.commit()
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def save(self, *models: LiteModel) -> int:
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"""存储数据
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def save(self, *models: LiteModel) -> int | tuple:
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"""存储数据，检查id字段，如果有id字段则更新，没有则插入
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Args:
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models: 数据
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Returns:
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id: 数据id，多个数据返回最后一个数据id
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id: 数据id，如果有多个数据则返回id元组
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"""
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_id = 0
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ids = []
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for model in models:
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table_name = model.__class__.__name__
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key_list = []
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@ -136,41 +166,145 @@ class SqliteORMAdapter(BaseORMAdapter):
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# 处理外键，添加前缀'$IDFieldName'
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for field, value in model.__dict__.items():
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if isinstance(value, LiteModel):
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key_list.append(f'$id:{field}')
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value_list.append(f'{value.__class__.__name__}:{self.save(value)}')
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elif isinstance(value, list | tuple | set):
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key_list.append(field)
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value_list.append(json.dumps(value))
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key_list.append(f'{self.FOREIGNID}{field}')
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value_list.append(f'{self.ID}:{value.__class__.__name__}:{self.save(value)}')
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elif isinstance(value, BaseIterable):
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key_list.append(f'{self.JSON}{field}')
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value_list.append(self.flat(value))
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else:
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key_list.append(field)
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value_list.append(value)
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# 更新或插入数据，用?占位
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self.cursor.execute(f'INSERT OR REPLACE INTO {table_name} ({",".join(key_list)}) VALUES ({",".join(["?" for _ in key_list])})', value_list)
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def flat(self, data: Iterable) -> Any:
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if isinstance(data, dict):
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for k, v in data.items():
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if isinstance(v, dict | list | tuple | set):
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self.flat(v)
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else:
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print(k, v)
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ids.append(self.cursor.lastrowid)
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self.conn.commit()
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return ids[0] if len(ids) == 1 else tuple(ids)
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def first(self, model: type(LiteModel), *args, **kwargs):
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self.cursor.execute(f'SELECT * FROM {model.__name__} WHERE {args[0]}', args[1])
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return self.convert2dict(model, self.cursor.fetchone())
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def convert2dict(self, data: dict) -> dict | list:
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"""将模型转换为dict
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def flat(self, data: Iterable) -> str:
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"""扁平化数据，返回扁平化对象
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Args:
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data: 数据库查询结果
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data: 数据，可迭代对象
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Returns: json字符串
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"""
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if isinstance(data, dict):
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return_data = {}
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for k, v in data.items():
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if isinstance(v, LiteModel):
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return_data[f'{self.FOREIGNID}{k}'] = f'{self.ID}:{v.__class__.__name__}:{self.save(v)}'
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elif isinstance(v, BaseIterable):
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return_data[f'{self.JSON}{k}'] = self.flat(v)
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else:
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return_data[k] = v
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elif isinstance(data, list | tuple | set):
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return_data = []
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for v in data:
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if isinstance(v, LiteModel):
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return_data.append(f'{self.ID}:{v.__class__.__name__}:{self.save(v)}')
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elif isinstance(v, BaseIterable):
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return_data.append(self.flat(v))
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else:
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return_data.append(v)
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else:
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raise ValueError('数据类型错误')
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return json.dumps(return_data)
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def first(self, model: type(LiteModel), conditions, *args, default: Any = None) -> LiteModel | None:
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"""查询第一条数据
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Args:
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model: 模型
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conditions: 查询条件
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*args: 参数化查询条件参数
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default: 未查询到结果默认返回值
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Returns: 数据
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"""
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table_name = model.__name__
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self.cursor.execute(f'SELECT * FROM {table_name} WHERE {conditions}', args)
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data = dict(self.cursor.fetchone())
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return model(**self.convert_to_dict(data)) if data else default
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def all(self, model: type(LiteModel), conditions, *args, default: Any = None) -> list[LiteModel] | None:
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"""查询所有数据
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Args:
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model: 模型
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conditions: 查询条件
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*args: 参数化查询条件参数
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default: 未查询到结果默认返回值
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Returns: 数据
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"""
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table_name = model.__name__
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self.cursor.execute(f'SELECT * FROM {table_name} WHERE {conditions}', args)
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data = self.cursor.fetchall()
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return [model(**self.convert_to_dict(d)) for d in data] if data else default
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def delete(self, model: type(LiteModel), conditions, *args):
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"""删除数据
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Args:
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model: 模型
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conditions: 查询条件
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*args: 参数化查询条件参数
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Returns:
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模型对象
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"""
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for field, value in data.items():
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if field.startswith('$id'):
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# 外键处理
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table_name = value[1:].split('_')[0]
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id_ = value.split('_')[1]
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key_tuple = self.cursor.execute(f'PRAGMA table_info({table_name})').fetchall()
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value_tuple = self.cursor.execute(f'SELECT * FROM {table_name} WHERE id = ?', id_).fetchone()
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field_dict = dict(zip([field[1] for field in key_tuple], value_tuple))
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table_name = model.__name__
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self.cursor.execute(f'DELETE FROM {table_name} WHERE {conditions}', args)
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self.conn.commit()
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def update(self, model: type(LiteModel), conditions: str, *args, operation: str):
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"""更新数据
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Args:
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model: 模型
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conditions: 查询条件
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*args: 参数化查询条件参数
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operation: 更新操作
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Returns:
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"""
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table_name = model.__name__
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self.cursor.execute(f'UPDATE {table_name} SET {operation} WHERE {conditions}', args)
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self.conn.commit()
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def convert_to_dict(self, data: dict) -> dict:
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"""将json字符串转换为字典
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Args:
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data: json字符串
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Returns: 字典
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"""
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def load(d: BaseIterable) -> BaseIterable:
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"""递归加载数据，去除前缀"""
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if isinstance(d, dict):
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new_d = {}
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for k, v in d.items():
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if k.startswith(self.FOREIGNID):
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new_d[k.replace(self.FOREIGNID, '')] = load(dict(self.cursor.execute(f'SELECT * FROM {v.split(":")[1]} WHERE id = ?', (v.split(":")[2],)).fetchone()))
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elif k.startswith(self.JSON):
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new_d[k.replace(self.JSON, '')] = load(json.loads(v))
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else:
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new_d[k] = v
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elif isinstance(d, list | tuple | set):
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new_d = []
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for i, v in enumerate(d):
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if isinstance(v, str) and v.startswith(self.ID):
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new_d.append(load(dict(self.cursor.execute(f'SELECT * FROM {v.split(":")[1]} WHERE id = ?', (v.split(":")[2],)).fetchone())))
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elif isinstance(v, BaseIterable):
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new_d.append(load(v))
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else:
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new_d = d
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return new_d
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return load(data)
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