我有用户谁可以有他最喜欢的系列,有剧集作为外键,我试图从最喜欢的系列用户检索所有的情节。我用的是水瓶-SQLAlchemy。
数据库:
db = SQLAlchemy(app)
# cross table for user-series
favorite_series = db.Table('favorite_series',
db.Column('user_id', db.Integer, db.ForeignKey('user.id')),
db.Column('series_id', db.Integer, db.ForeignKey('series.id'))
)
# user
class User(db.Model):
__tablename__ = 'user'
id = db.Column(db.Integer, primary_key=True)
favorite_series = db.relationship('Series', secondary=favorite_series,
backref=db.backref('users', lazy='dynamic'))
# series
class Series(db.Model):
__tablename__ = 'series'
id = db.Column(db.Integer, primary_key=True)
# episode
class Episode(db.Model):
__tablename__ = 'episode'
id = db.Column(db.Integer, primary_key=True)
series_id = db.Column(db.Integer, db.ForeignKey('series.id'))
series = db.relationship('Series',
backref=db.backref('episodes', lazy='dynamic'))朋友帮助我使用SQL
select user_id,series.name,episode.name from (favorite_series left join series on favorite_series.series_id = series.id) left join episode on episode.series_id = series.id where user_id=1;尽管如此,我想在SQLAlchemy API中使用它,但无法使它正常工作。
编辑
我的最后工作结果:
episodes = Episode.query.filter(Episode.series_id.in_(x.id for x in g.user.favorite_series)).filter(Episode.air_time!=None).order_by(Episode.air_time)发布于 2012-05-13 14:45:16
首先,你似乎没有宣布你的桌子的名字?此外,使用orm的主要目的是不必编写sql查询:
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import orm
import sqlalchemy as db
Base = declarative_base()
favorite_series = db.Table('favorite_series', Base.metadata,
db.Column('user_id', db.Integer, db.ForeignKey('User.id')),
db.Column('series_id', db.Integer, db.ForeignKey('Series.id'))
)
class Episode(Base):
__tablename__ = 'Episode'
id = db.Column(db.Integer, primary_key=True)
season = db.Column(db.Integer)
episode_num = db.Column(db.Integer)
series_id = db.Column(db.Integer, db.ForeignKey('Series.id'))
def __init__(self, season, episode_num, series_id):
self.season = season
self.episode_num = episode_num
self.series_id = series_id
def __repr__(self):
return self.series.title + \
' S' + str(self.season) + \
'E' + str(self.episode_num)
class Series(Base):
__tablename__ = 'Series'
id = db.Column(db.Integer, primary_key=True)
title = db.Column(db.String)
episodes = orm.relationship('Episode', backref='series')
def __init__(self, title):
self.title = title
def __repr__(self):
return self.title
class User(Base):
__tablename__ = 'User'
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String)
favorite_series = orm.relationship('Series',
secondary=favorite_series, backref='users')
def __init__(self, name):
self.name = name
def __repr__(self):
return self.name现在,您只需访问对象的属性,并让sql炼金术处理保持DB同步和发出查询的问题。
engine = db.create_engine('sqlite:///:memory:')
session = orm.sessionmaker(bind=engine)()
Base.metadata.create_all(engine)
lt = User('Ludovic Tiako')
the_wire = Series('The Wire')
friends = Series('Friends')
session.add_all([lt, the_wire, friends])
session.commit() # need to commit here to generate the id fields
tw_s01e01 = Episode(1,1,the_wire.id)
tw_s01e02 = Episode(1,2,the_wire.id)
f_s01e01 = Episode(1,1,friends.id)
f_s01e02 = Episode(1,2,friends.id)
f_s01e03 = Episode(1,3,friends.id)
session.add_all([tw_s01e01, tw_s01e02,
f_s01e01, f_s01e02, f_s01e03])
session.commit()
the_wire.episodes # > [The Wire S1E1, The Wire S1E2]
friends.episodes # > [Friends S1E1, Friends S1E2, Friends S1E3]最后,回答你的问题:
lt.favorite_series.append(the_wire)
session.commit()
lt.favorite_series # > [The Wire]
[s.episodes for s in lt.favorite_series] # >> [[The Wire S1E1, The Wire S1E2]]发布于 2012-05-12 11:23:49
我不知道如何使用Flask,但是从的文档来看,它似乎使用声明式,所以ORM。所以,你应该有个会议。我认为您可以从db.session访问它。
不管怎么说,如果这些假设是真的,你应该这样做:
query = db.session.query(User.id, Series.name, Episode.name).filter((Episode.series_id == Series.id) & \
(User.id == favorite_series.c.user_id) & (Series.id == favorite_series.c.id) & \
(User.id == 1))
results = query.all();它可能不是您提供的确切查询,但应该这样做。
UPDATE:我刚刚检查了github上的Flask代码,看起来db是SQLAlchemy的一个实例,它有一个session属性,由返回会话对象的self.session = self.create_scoped_session(session_options)创建。所以这个应该能行。
而且,不是通过这样做,你就不会使用他们的BaseQuery,虽然我不知道这意味着什么.
检查文档,知道该做什么。
https://stackoverflow.com/questions/10562992
复制相似问题