1. #coding:utf-8
    2. #一、首先来定义Field类,它负责保存数据库表的字段名和字段类型:
    3. class Field:
    4. def __init__(self, name, column_type):
    5. self.name = name
    6. self.column_type = column_type
    7. def __str__(self):
    8. return '<%s:%s>' % (self.__class__.__name__, self.name)
    9. class StringField(Field):
    10. def __init__(self, name):
    11. super(StringField, self).__init__(name, 'varchar(100)')
    12. class IntegerField(Field):
    13. def __init__(self, name):
    14. super(IntegerField, self).__init__(name, 'bigint')
    15. #二、定义元类,控制Model对象的创建
    16. class ModelMetaclass(type):
    17. '''定义元类
    18. 定义:创建类的类
    19. 优点: 对子类操作,功能像装饰器一样可以动态定制和修改被装饰的类
    20. 缺点:得程序代码的维护变得困难
    21. 实际应用:创建API
    22. 前景:
    23. - Python中的类可以生成一个对象(类的能力)(只要使用关键词class,Python解释器在执行的时候就会创建一个对象)
    24. - 同时python的类也是一个对象
    25. - 可以增加属性
    26. - 赋值给一个变量
    27. - 等
    28. 动态的创建类
    29. MyShinyClass = type('MyShinyClass', (), {}) # 返回一个类对象
    30. print MyShinyClass
    31. '''
    32. def __new__(cls, name, bases, attrs):
    33. if name=='Model':
    34. return super(ModelMetaclass,cls).__new__(cls, name, bases, attrs)
    35. mappings = dict()
    36. # for k, v in attrs.iteritems():
    37. for k, v in attrs.items():
    38. # 保存类属性和列的映射关系到mappings字典
    39. if isinstance(v, Field):
    40. print('Found mapping: %s==>%s' % (k, v))
    41. mappings[k] = v
    42. # for k in mappings.iterkeys():
    43. for k in mappings.keys():
    44. #将类属性移除,使定义的类字段不污染User类属性,只在实例中可以访问这些key
    45. attrs.pop(k)
    46. attrs['__table__'] = name.lower() # 假设表名和为类名的小写,创建类时添加一个__table__类属性
    47. attrs['__mappings__'] = mappings # 保存属性和列的映射关系,创建类时添加一个__mappings__类属性
    48. return super(ModelMetaclass,cls).__new__(cls, name, bases, attrs)
    49. #三、编写Model基类
    50. class Model(dict,metaclass=ModelMetaclass):
    51. """
    52. 定义了__metaclass__就定义了这个类的元类
    53. 类反射的四个基本函数
    54. hasattr
    55. getattr
    56. setattr
    57. delattr
    58. 反射动态获取模块的方法名
    59. _getattr_
    60. _delattr_
    61. _setattr_
    62. """
    63. # __metaclass__ = ModelMetaclass
    64. def __init__(self, **kw):
    65. super(Model, self).__init__(**kw)
    66. def __getattr__(self, key):
    67. try:
    68. return self[key]
    69. except KeyError:
    70. raise AttributeError(r"'Model' object has no attribute '%s'" % key)
    71. def __setattr__(self, key, value):
    72. print("开始执行 setattr -- ")
    73. # self[key] = value
    74. self.__dict__[key] = value
    75. print("已经设置了属性")
    76. def save(self):
    77. fields = []
    78. params = []
    79. args = []
    80. # for k, v in self.__mappings__.iteritems():
    81. for k, v in self.__mappings__.items():
    82. fields.append(v.name)
    83. params.append('?')
    84. args.append(getattr(self, k, None))
    85. sql = 'insert into %s (%s) values (%s)' % (self.__table__, ','.join(fields), ','.join(params))
    86. print('SQL: %s' % sql)
    87. print('ARGS: %s' % str(args))
    88. #最后,我们使用定义好的ORM接口,使用起来非常的简单。
    89. class User(Model):
    90. # 定义类的属性到列的映射:
    91. id = IntegerField('id')
    92. name = StringField('username')
    93. email = StringField('email')
    94. password = StringField('password')
    95. # 创建一个实例:
    96. u = User(id=12345, name='Michael', email='test@orm.org', password='my-pwd')
    97. # 保存到数据库:
    98. u.save()
    99. #输出
    100. # Found mapping: email==><StringField:email>
    101. # Found mapping: password==><StringField:password>
    102. # Found mapping: id==><IntegerField:id>
    103. # Found mapping: name==><StringField:username>
    104. # SQL: insert into User (password,email,username,id) values (?,?,?,?)
    105. # ARGS: ['my-pwd', 'test@orm.org', 'Michael', 12345]