Flask sqlalchemy 如何查询多对多表数据

Flask sqlalchemy 如何查询多对多表数据,flask-sqlalchemy,Flask Sqlalchemy,我正在使用Flask SQLalchemy尝试在两个表之间建立多对多的关系,下面是关系代码 port_trades = db.Table( 'port_trades', db.Column('portfolio_id', db.Text, db.ForeignKey('portfolio.portfolio_id'), primary_key=True), db.Column('trade_id', db.Text, db.ForeignKey('trade.trade_

我正在使用Flask SQLalchemy尝试在两个表之间建立多对多的关系,下面是关系代码

port_trades = db.Table(
    'port_trades',
    db.Column('portfolio_id', db.Text, db.ForeignKey('portfolio.portfolio_id'), primary_key=True),
    db.Column('trade_id', db.Text, db.ForeignKey('trade.trade_id'), primary_key=True)
    )

class Portfolio(db.Model):

    __tablename__ = 'portfolio'
    user_id = db.Column(db.Text, primary_key=True)
    portfolio_id = db.Column(db.Text, primary_key=True)
    portfolio_name = db.Column(db.Text)
    trade_id = db.Column(db.Text, primary_key=True)

    trades = db.relationship('Trade', secondary=port_trades,  backref=db.backref('trades', lazy='dynamic'))

    def __repr__(self):
        return '[%r,%r,%r,%r]' % (self.user_id, self.portfolio_id, self.portfolio_name, self.trade_id)

class Trade(db.Model):
    __tablename__ = 'trade'
    trade_id = db.Column(db.Text, primary_key=True)
    user_id = db.Column(db.Text, primary_key=True)
    instrument = db.Column(db.Text)
    trade_type = db.Column(db.Text, primary_key=True)
    product_name = db.Column(db.Text)

    portfolios = db.relationship('Portfolio', secondary=port_trades, backref=db.backref('portfolios', lazy='dynamic'))

    def __repr__(self):
        return '[%r,%r,%r,%r]' % (self.trade_id, self.instrument, self. trade_type, self. product_name)
现在我可以使用:

port = Portfolio.query.filter_by(portfolio_id=portfolio_id).all()
要获取具有特定portfolio_id的端口, 但如何从交易表中获取所有交易细节(交易类中的所有属性)

for example these two tables like this:

-----portfolio_id ----- trade_id
          1                 2
          1                 3 
          1                 4 

谢谢您的帮助。

在这里和那里更改了几行,但请随意更改回您所拥有的内容。但不要更改lazy=“joined”部分,因为在查询对象中包含所有相关对象是关键

port_trades = db.Table(
        'port_trades',
        db.Column('portfolio_id', db.Integer(), db.ForeignKey('portfolio.portfolio_id')),
        db.Column('trade_id', db.Integer(), db.ForeignKey('trade.trade_id'))
        )

class Portfolio(db.Model):

    __tablename__ = 'portfolio'
    user_id = db.Column(db.Text, primary_key=True)
    portfolio_id = db.Column(db.Text, primary_key=True)
    portfolio_name = db.Column(db.Text)
    trade_id = db.Column(db.Text, primary_key=True)

    def __repr__(self):
        return '[%r,%r,%r,%r]' % (self.user_id, self.portfolio_id, self.portfolio_name, self.trade_id)

class Trade(db.Model):
    __tablename__ = 'trade'
    trade_id = db.Column(db.Text, primary_key=True)
    user_id = db.Column(db.Text, primary_key=True)
    instrument = db.Column(db.Text)
    trade_type = db.Column(db.Text, primary_key=True)
    product_name = db.Column(db.Text)

    portfolios = db.relationship('Portfolio', secondary=port_trades, backref=db.backref('portfolios', lazy='joined'))

    def __repr__(self):
        return '[%r,%r,%r,%r]' % (self.trade_id, self.instrument, self. trade_type, self. product_name)
尝试使用下面的查询查询多对多。别忘了写“c”

query_port_trades = Trade.query.join(port_trades).join(Portfolio).
filter(port_trades.c.trade_id == Trade.id and port_trades.c.portfolio_id == Portfolio.id).all()

非常感谢你。我以为没人会给这个问题贴答案…,非常感谢。