create or replace table day03_data as
  select bank
  from read_csv(
    'inputs/03/input.txt',
    header = false,
    columns = { 'bank': 'VARCHAR' }
  );
create or replace table day03_test as
  select bank
  from read_csv(
    'inputs/03/test.txt',
    header = false,
    columns = { 'bank': 'VARCHAR' }
  );

with with_best as (
  select bank,
  coalesce((
    select max(digit),
    from generate_series(2, 9) as t(digit)
    where contains(bank[:-2], digit::string) is true
  ), 1) as best
  from day03_test
),
with_best_pos as (
  select *,
    instr(bank, best::string) as best_pos,
    bank[best_pos+1:],
    coalesce((
    select max(digit)
      from generate_series(2, 9) as t(digit)
      where contains(bank[best_pos+1:], digit::string) is true
    ), 1) as second_best
  from with_best
)
select sum(best * 10 + second_best) as part1
from with_best_pos
;

with recursive seq as (
  select 
    bank,
    12 as step,
    '' as digits,
    0 as pos,
    bank[0:-12] as sub,
  from day03_data

  union all

  select
    s.bank,
    s.step - 1 as new_step,
    s.digits || max_digit::string as digits,
s.pos+instr(s.sub, max_digit::string) as new_pos,
    s.bank[new_pos+1:-new_step] as sub,
  from seq s
  join lateral (
    select max(digit) as max_digit
    from generate_series(1,9) as t(digit)
    where contains(s.sub, digit::string)
  ) as m
  on s.step > 0
)
select sum(digits::hugeint) as total
from seq
where step = 0
;