Given these SQLAlchemy model definitions:
class Store(db.Model):
__tablename__ = 'store'
id = Column(Integer, primary_key=True)
name = Column(String, nullable=False)
class CustomerAccount(db.Model, AccountMixin):
__tablename__ = 'customer_account'
id = Column(Integer, primary_key=True)
plan_id = Column(Integer, ForeignKey('plan.id'), index=True, nullable=False)
store = relationship('Store', backref='account', uselist=False)
plan = relationship('Plan', backref='accounts', uselist=False)
class Plan(db.Model):
__tablename__ = 'plan'
id = Column(Integer, primary_key=True)
store_id = Column(Integer, ForeignKey('store.id'), index=True)
name = Column(String, nullable=False)
subscription_amount = Column(Numeric, nullable=False)
num_of_payments = Column(Integer, nullable=False)
store = relationship('Store', backref='plans')
How do I write a query to get a breakdown of subscription revenues by plan? I'd like to get back a list of the plans for a given Store, and for each plan the total revenues for that plan, calculated by multiplying Plan.subscription_amount * Plan.num_of_payments * num of customers subscribed to that plan
At the moment I'm trying with this query and subquery:
store = db.session.query(Store).get(1)
subscriber_counts = db.session.query(func.count(CustomerAccount.id)).as_scalar()
q = db.session.query(CustomerAccount.plan_id, func.sum(subscriber_counts * Plan.subscription_amount * Plan.num_of_payments))\
.outerjoin(Plan)\
.group_by(CustomerAccount.plan_id)
The problem is the subquery is not filtering on the current plan id.
I also tried with this other approach (no subquery):
q = db.session.query(CustomerAccount.plan_id, func.count(CustomerAccount.plan_id) * Plan.subscription_amount * Plan.num_of_payments)\
.outerjoin(Plan)\
.group_by(CustomerAccount.plan_id, Plan.subscription_amount, Plan.num_of_payments)
And while the results seem fine, I don't know how to get back the plan name or other plan columns, as I'd need to add them to the group by (and that changes the results).
Ideally if a plan doesn't have any subscribers, I'd like it to be returned with a total amount of zero.
Thanks!
The grouping is done with the group_by() query method, which takes the column to use for the grouping as an argument, same as the GROUP BY counterpart in SQL. The statement ends by calling subquery() , which tells SQLAlchemy that our intention for this query is to use it inside a bigger query instead of on its own.
all() method. The Query object, when asked to return full entities, will deduplicate entries based on primary key, meaning if the same primary key value would appear in the results more than once, only one object of that primary key would be present. This does not apply to a query that is against individual columns.
all() will return all records which match our query as a list of objects.
scalars() method is used to first apply a “scalars” filter to the result; then the Result can be iterated or deliver rows via standard methods such as Result. all() , Result. first() , etc.
Thanks to Alex Grönholm on #sqlalchemy I ended up with this working solution:
from sqlalchemy.sql.expression import label
from sqlalchemy.sql.functions import coalesce
from instalment.models import db
from sqlalchemy import func, desc
def projected_total_money_volume_breakdown(store):
subscriber_counts = db.session.query(
CustomerAccount.plan_id,
func.count(CustomerAccount.id).label('count')
).group_by(CustomerAccount.plan_id) \
.subquery()
total_amount_exp = coalesce(
subscriber_counts.c.count, 0
) * Plan.subscription_amount * Plan.num_of_payments
return db.session.query(
Plan,
label('total_amount', total_amount_exp)
) \
.outerjoin(subscriber_counts, subscriber_counts.c.plan_id == Plan.id) \
.filter(Plan.store == store) \
.order_by(desc('total_amount')) \
.all()
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