Hi,
I've built a postgresql function that takes as input a row from a table,
and returns the sum of a particular column (of type array) between two
specified indices. Here is how I've defined my function
CREATE OR REPLACE FUNCTION specres_sum_segment(cube datadb.cube, index1
integer, index2 integer) RETURNS numeric
LANGUAGE plpgsql STABLE
AS $$
DECLARE result numeric;
BEGIN
select sum(f) from unnest(cube.specres[index1:index2]) as f into result;
return result;
END; $$;
and here is how it works in psql.
select c.pk from datadb.cube as c where(specres_sum_segment(c,2000,2005) <
12000);
This works and returns the cube entries where this condition is true. Now
I'm trying to call this function with an SQLalchemy query. I've mapped a
DeclarativeMeta class called Cube to my datadb.cube table, but when I try
to run my session query I'm getting an error.
My sqlalchemy session query is
session.query(datadb.Cube).filter(func.specres_sum_segment(datadb.Cube,2000,2005)==
12000).all()
but I get the error
ProgrammingError: (psycopg2.ProgrammingError) can't adapt type
'DeclarativeMeta'
What is the right syntax to use when passing a mapped SQLalchemy class into
a function so postgresql will understand it? I'm using SQLalchemy 1.0.0
and PostgreSQL 9.3. Any help would be appreciated. Thanks.
Cheers, Brian
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