SQLAlchemy Core: Creating a last_value window function for postgresql - postgresql

Question

I'm trying to create the following PostgreSQL query using SQLAlchemy Core:
SELECT DISTINCT ON (carrier) carrier,
LAST_VALUE(ground) OVER wnd AS ground,
LAST_VALUE(destinationzipstart) OVER wnd AS destinationzipstart,
LAST_VALUE(destinationzipend) OVER wnd AS destionationzipend
FROM tblshippingzone
WHERE sourcezipstart <= 43234
AND sourcezipend >= 43234
AND destinationzipstart NOT BETWEEN 99500 AND 99950
AND destinationzipstart NOT BETWEEN 96700 AND 96899
AND destinationzipstart >= 1000
AND (contiguous IS NULL OR contiguous = True)
AND ground IS NOT NULL
WINDOW wnd AS (
PARTITION BY carrier ORDER BY ground DESC, destinationzipstart);
This is what I have so far:
# Short-hand for accessing cols
all_cols = ShippingZoneDAL._table.c
# Window params
window_p = {'partition_by': all_cols.carrier,
'order_by': [desc(all_cols.ground), all_cols.destination_zip_start]}
# Select columns
select_cols = [distinct(all_cols.carrier).label('carrier'),
over(func.last_value(all_cols.ground), **window_p).label('ground'),
over(func.last_value(all_cols.destination_zip_start), **window_p).label('destination_zip_start'),
over(func.last_value(all_cols.destination_zip_end), **window_p).label('destination_zip_end')]
# Filter exprs
exprs = [all_cols.source_zip_start <= 43234,
all_cols.source_zip_end >= 43234,
~all_cols.destination_zip_start.between(99500, 99950), # Alaska zip codes
~all_cols.destination_zip_start.between(96700, 96899), # Hawaii zip codes
all_cols.destination_zip_start >= 1000, # Eliminates unusual territories
or_(all_cols.contiguous == True, all_cols.contiguous == None),
all_cols.ground != None]
# Build query
query = select(*select_cols).where(and_(*exprs))
But I get an error when building the query:
ArgumentError: FROM expression expected
Any ideas what I'm missing here?
BONUS POINTS:
I originally wanted the window function to be this instead:
WINDOW wnd AS (
PARTITION BY carrier ORDER BY ground
ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING);
But it seemed like sqlalchemy didn't support the 'ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING', based on this support request:
https://bitbucket.org/zzzeek/sqlalchemy/issue/3049/support-range-specificaiton-in-window
Is there a way to use that clause, or no?

Answer 1

It was mostly just a matter of re-arranging various methods into a working order. Here's the answer, if anyone runs into something similar:
# Short-hand for accessing cols
all_cols = ShippingZoneDAL._table.c
# Window params
window_p = {'partition_by': all_cols.carrier,
'order_by': [desc(desc(all_cols.ground)), all_cols.destination_zip_start]}
# Select columns
select_cols = select(
[all_cols.carrier,
func.last_value(all_cols.ground).over(**window_p).label(shipment_method),
func.last_value(all_cols.destination_zip_start).over(**window_p).label('destination_zip_start'),
func.last_value(all_cols.destination_zip_end).over(**window_p).label('destination_zip_end')])
# Filter exprs
exprs = [all_cols.source_zip_start <= 43234,
all_cols.source_zip_end >= 43234,
~all_cols.destination_zip_start.between(99500, 99950),
~all_cols.destination_zip_start.between(96700, 96899),
all_cols.destination_zip_start >= 1000,
or_(all_cols.contiguous == True, all_cols.contiguous == None),
all_cols.ground != None]
# Build query
query = select_cols.where(and_(*exprs)).distinct(all_cols.carrier)
Key notes to keep in mind with the solution above:
SQLAlchemy Core won't see select(*select_cols) as equivalent to select([all_cols.ground, etc]) in this scenario. Probably because the over method needs to be computed in the context of a select, or you lose reference to the FROM table.
To use DISTINCT ON from PostgreSQL, make sure the distinct comes after the primary select. If just used in the SELECT itself, it will just become a standard DISTINCT clause for that column.
Be careful with the labels themselves - the columns returned will only have key defined, and not name like a normal table column from the object.
If anyone still wants to tackle my bonus question, feel free to :) Still not sure if there's a way to use that yet in SQLAlchemy.