Question

假设我以声明方式有三个表，Parent，Child和Pet，以这种方式

Parent与Child和Pet
Child与Pet

它们的代码是（使用Flask-SQLAlchemy，虽然我相信解决方案存在于SQLAlchemy而不是Flask中）。

class Parent(db.Model):
    __tablename__ = 'parents'

    id = db.Column(db.Integer, primary_key=True)
    name = db.Column(db.String(64))

    # many to many relationship between parent and children
    # my case allows for a children to have many parents. Don't ask.
    children = db.relationship('Child',
                           secondary=parents_children_relationship,
                           backref=db.backref('parents', lazy='dynamic'),
                           lazy='dynamic')

    # many to many relationship between parents and pets
    pets = db.relationship('Pet',
                             secondary=users_pets_relationship,
                             backref=db.backref('parents', lazy='dynamic'), #
                             lazy='dynamic')

# many to many relationship between parents and children
parents_children_relationship = db.Table('parents_children_relationship',
    db.Column('parent_id', db.Integer, db.ForeignKey('parents.id')),
    db.Column('child_id', db.Integer, db.ForeignKey('children.id')),
    UniqueConstraint('parent_id', 'child_id'))

# many to many relationship between User and Pet 
users_pets_relationship = db.Table('users_pets_relationship', 
    db.Column('parent_id', db.Integer, db.ForeignKey('parents.id')), 
    db.Column('pet_id', db.Integer, db.ForeignKey('pets.id')),
    UniqueConstraint('parent_id', 'pet_id'))

class Child(db.Model):
    __tablename__ = 'children'
    id = db.Column(db.Integer, primary_key=True)
    name = db.Column(db.String(64))
    # parents = <backref relationship with User model>

    # one to many relationship with pets
    pets = db.relationship('Pet', backref='child', lazy='dynamic')


class Pet(db.Model):
    __tablename__ = 'pets'
    id = db.Column(db.Integer, primary_key=True)
    name = db.Column(db.String(64))
    # child = backref relationship with cities
    child_id = db.Column(db.Integer, db.ForeignKey('children.id'), nullable=True)
    # parents = <relationship backref from User>

我想做这样的事情

parent_a = Parent()    
child_a = Child()
pet_a = Pet()

我可以这样做

parent_a.children.append(child_a)
# commit/persist data
parent_a.children.all() # [child_a]

我想实现这样的目标

child_a.pets.append(pet_a)
parent_a.children.append(child_a)
# commit/persist data
parent_a.children.all() # [child_a]
parent_a.pets.all() # [pet_a], because pet_a gets 
                    # automatically added to parent using some sorcery
                    # like for child in parent_a.children.all():
                    #     parent.pets.append(child.pets.all())
                    # or something like that.

我可以使用像Parent这样的add_child_and_its_pets()对象中的方法实现此目的，但我想覆盖关系的工作方式，因此我不需要覆盖其他可能的模块受益于此行为，例如Flask-Admin。

基本上我应该如何覆盖backref.append方法或relationship.append方法，以便在呼叫时，即在python端附加来自其他关系的其他对象？我该如何覆盖remove方法？

Answer 1

对于parent.pets.all()，我认为您可以将子项视为secondary join条件，并将其视为associative entity or junction table。

这取决于您的表格，但这看起来像是：

Parent.pets = relationship(
    Pet,
    backref='parent'
    primaryjoin=Pet.child_id == Child.id,
    secondaryjoin=Child.parent_id == Parent.id
)

如果你愿意，你也可以合理地制作一个backref parent - 这样你就可以同时访问parent_a.pets和pet_a.parent。

Answer 2

使用sqlalchemy mailing list中的相同答案，这可以使用event listeners来实现，https://wiki.qt.io/How_to_create_a_multi_language_application在第一个对象上调用append或remove之前调用参数。

@db.event.listens_for(Parent.children, 'append')
def _append_children(parent, child, initiator):
    # appends also the pets bound to the child that the 
    # is being appended to the Parent

    parent.pets.extend(child.pets.all())

    # at the end of this call, executes
    # parent.children.append(child)

覆盖sqlalchemy

2 个答案: