Oh interesting. I didn't know that about the @expression. I'll play
around with the as_scalar() as well, and see if I can get something to
work.
class Wavelength(Base):
__tablename__ = 'wavelength'
__table_args__ = {'autoload': True, 'schema': 'mangadatadb',
'extend_existing': True}
wavelength = deferred(Column(ARRAY_D(Float, zero_indexes=True)))
The wavelength table has a single row and single column, which is an array.
The other table of interest would look something like
class NSA(Base):
__tablename__ = 'nsa'
__table_args__ = ({'autoload': True, 'schema': 'mangasampledb'})
On Friday, July 29, 2016 at 3:13:17 PM UTC-4, Mike Bayer wrote:
>
> you might need to change more than this, but at least the fundamental
> thing about @expression is that it has to return a column, not a Query
> or a select(). On either one, calling as_scalar() will give you a
> scalar subquery, e.g. a SELECT interpreted as a column.
>
> Assuming there's still problems because once array_agg is involved,
> things generally get crazy, send along a Wavelength, NSA and MangaNSA
> model with that Cube and I can try putting it together.
>
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