How to use subqueries in SQLAlchemy to produce a moving average?

Question

My problem is that I want to retrieve both a list of measurements along with a moving average of those measurements. I can do that with this SQL statement (postgresql interval

Answer 1

Right, apparently what I needed was the use of a so-called scalar select. With the use of those I get this python code, which actually works as I want it to (generates the equivalent SQL to that of the first in my question which was my goal):

moving_average_days = # configurable value, defaulting to 5
ndays = # configurable value, defaulting to 90
t1 = Measurements.alias('t1') ######
t2 = Measurements.alias('t2')
query = select([t1.c.time, t1.c.value,
                    select([func.avg(t2.c.value)],
                        t2.c.time.between(t1.c.time - datetime.timedelta(moving_average_days), t1.c.time)).label('moving_average')],
            t1.c.time > (datetime.datetime.utcnow() - datetime.timedelta(ndays))). \
        order_by(t1.c.time)

This gives this SQL:

SELECT t1.time, t1.value,
    (
        SELECT avg(t2.value) AS avg_1
        FROM measurements AS t2 
        WHERE t2.time BETWEEN t1.time - :time_1 AND t1.time
    ) AS moving_average 
FROM measurements AS t1
WHERE t1.time > :time_2 ORDER BY t1.time;