create or replace table day02_data as
with input1 as (
select unnest(split(column0, ',')) as ranges
from read_csv('inputs/02/input.txt', header=false, delim='\n'))
select
  split(ranges, '-')[1]::long as range_start,
  split(ranges, '-')[2]::long as range_end
from input1;

create or replace table day02_test as
with input1 as (
select unnest(split(column0, ',')) as ranges
from read_csv('inputs/02/test.txt', header=false, delim='\n'))
select
  split(ranges, '-')[1]::long as range_start,
  split(ranges, '-')[2]::long as range_end
from input1;

create or replace table day02_product_list as
select unnest(generate_series(range_start, range_end))::string as product_id
from day02_data;

select sum(product_id::long) as part1
from day02_product_list
where LENGTH(product_id) % 2 == 0
 and product_id[:(LENGTH(product_id)/2)] == product_id[(LENGTH(product_id)/2)+1:];

with split_lengths as (
select product_id, 
  length(product_id) as len,
  (
    select array_agg(l)
    from generate_series(1, length(product_id)-1) as t(l)
    where length(product_id) % l == 0
  ) as lengths
from day02_product_list
),
with_chunks as (
select product_id, chunk_size,
  (
    select array_agg(substring(product_id, (j-1)*chunk_size+1, chunk_size))
     from generate_series(1, ceil(length(product_id)/chunk_size)::int) as u(j)
  ) as chunks
FROM split_lengths, unnest(lengths) as t(chunk_size)
)
select sum(distinct product_id::long) as part2
from with_chunks
where length(array_distinct(chunks)) = 1
;