aoc 2022 day 2 terraform

locals {
  process_output_max = true

  input_rows = split(
    "\n",
    local.process_output_max ?
      data.local_file.input_max.content :
      data.local_file.input_mini.content
  )

  # rock 1
  # paper 2
  # scissors 3
  facts_part1 = {
    # wins
    "A Y" = (2+6)
    "B Z" = (3+6)
    "C X" = (1+6)
    # draws
    "A X" = (1+3)
    "B Y" = (2+3)
    "C Z" = (3+3)
    # losses
    "A Z" = (3+0)
    "B X" = (1+0)
    "C Y" = (2+0)
  }

  array_of_scores_p1 = [
    # identifies the score given the facts
    for pos, value in local.input_rows :
      local.facts_part1[value] if value != ""
  ]

  # rock 1
  # paper 2
  # scissors 3
  facts_part2 = {
    # wins
    "A Z" = (2+6)
    "B Z" = (3+6)
    "C Z" = (1+6)
    # draws
    "A Y" = (1+3)
    "B Y" = (2+3)
    "C Y" = (3+3)
    # losses
    "A X" = (3+0)
    "B X" = (1+0)
    "C X" = (2+0)
  }

  array_of_scores_p2 = [
    # identifies the score given the facts
    for pos, value in local.input_rows : #range(0, length(local.input_rows)) is not usable for lists larger of 1024, and it is worse than index and value.
      local.facts_part2[value] if value != ""
  ]
}

# Read the contents of a text file into a Terraform variable
data "local_file" "input_mini" {
  filename = "/Users/pier_work_settings/local/scripting/recreational_math_and_prog/puppet/aoc_2022_2_input_mini.txt"
}

data "local_file" "input_max" {
  filename = "/Users/pier_work_settings/local/scripting/recreational_math_and_prog/puppet/aoc_2022_2_input_max.txt"
}

output "part1" {
  value = sum(local.array_of_scores_p1)
}

output "part2" {
  value = sum(local.array_of_scores_p2)
}