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python - SQLALchemy session.merge 不起作用

转载 作者:太空宇宙 更新时间:2023-11-03 16:46:40 27 4
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AFAIK 合并执行并 insert or update所以我正在做的事情非常简单。集线器和标签之间存在 1 到 N 的关系。因此,当我尝试在标签和集线器上进行合并时,集线器运行良好并从数据库加载现有集线器并进行更新,但在 db.session.merge(nuevo_tag) 时失败执行时会抛出异常,因为即使标签先前存在,也会在幕后尝试进行插入。我做错了什么?

nuevo_hub = Hub(guid_hub,name,location,comments,id_project,creado_en,actualizado_en)
merged_hub = db.session.merge(nuevo_hub)
#db.session.commit() # If I use this line tags perform an insert.
nuevo_tag = Tag(guid_tag,project,merged_hub,TYPE_HUB,creado_en,actualizado_en)
merged_tag = db.session.merge(nuevo_tag)
db.session.commit()

如果我删除 db.session.commit()然后显示其他错误:

sqlalchemy.orm.exc.FlushError: New instance with identity key (, (b'\x11\x0e\x84\x00\xe2\x9b\x11\xd4\xa7\x16DfUD\x00\r',)) conflicts with persistent instance

class Item(db.Model):
__tablename__ = "items"
# id_item = db.Column(db.Integer, autoincrement=True, primary_key=True)
guid_item = db.Column(db.BINARY(16), primary_key=True)
id_project = db.Column(db.Integer,db.ForeignKey("projects.id_project"))
type = db.Column(db.Integer)
name = db.Column(db.String(50), nullable=False, index= True)
created_at = db.Column(db.DateTime)
updated_at = db.Column(db.DateTime)
__mapper_args__ = {
'polymorphic_identity': 'items',
'polymorphic_on':type,
'with_polymorphic':'*'
}
__table_args__ = (
db.UniqueConstraint('name', 'id_project', name='_unique_name_project'),
)

def __init__(self,creado_en=None):
self.created_at = creado_en
self.updated_at = creado_en


class Hub(Item):
__tablename__ = "hubs"
__mapper_args__ = {
'polymorphic_identity': TYPE_HUB,
'with_polymorphic':'*'
}
guid_hub = db.Column(db.BINARY(16), db.ForeignKey(Item.guid_item), primary_key=True)
location = db.Column(db.String(50))
comments = db.Column(db.String(128))

def __init__(self, guid_hub=None, nombre=None, location=None,comments=None, id_project=None, creado_en=None, actualizado_en=None):
self.type = TYPE_HUB
self.guid_item = guid_hub
self.guid_hub = guid_hub
self.name = nombre
self.id_project = id_project
self.location = location
self.comments = comments
self.created_at = creado_en
self.updated_at = actualizado_en


class Tag(db.Model):
__tablename__ = "tags"
guid_tag = db.Column(db.BINARY(16), primary_key=True)
id_project = db.Column(db.Integer,db.ForeignKey("projects.id_project"))
guid_item = db.Column(db.BINARY(16),db.ForeignKey("items.guid_item"))
project = db.relationship(Proyecto, backref=db.backref('list_tags', lazy='dynamic'))
item = db.relationship(Item, backref=db.backref('list_tags', lazy='joined'))
type = db.Column(db.Integer) #(0,hub);(1,cable);(2,pipe);(3,electrical_pipes)
created_at = db.Column(db.DateTime)
updated_at = db.Column(db.DateTime)

def __init__(self,guid_tag,project,item,type,created_at,updated_at):
# self.guid_item = guid_tag
self.guid_tag = guid_tag
self.project = project
self.item = item
self.type = type
self.created_at = created_at
self.updated_at = updated_at

最佳答案

我在 docs 中找到了答案。考虑 Hub 是 Item 的子类。我必须将延迟引用从连接更改为动态。

class Tag(db.Model):
__tablename__ = "tags"
guid_tag = db.Column(db.BINARY(16), primary_key=True)
id_project = db.Column(db.Integer,db.ForeignKey("projects.id_project"))
guid_item = db.Column(db.BINARY(16),db.ForeignKey("items.guid_item"))
project = db.relationship(Proyecto, backref=db.backref('list_tags', lazy='dynamic'))
item = db.relationship(Item, backref=db.backref('list_tags', lazy='joined'))
type = db.Column(db.Integer) #(0,hub);(1,cable);(2,pipe);(3,electrical_pipes)
created_at = db.Column(db.DateTime)
updated_at = db.Column(db.DateTime)

换句话说,我必须避免在同一个 session 中拥有持久对象的两个副本。

关于python - SQLALchemy session.merge 不起作用,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/36235915/

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