defmodule Microwaveprop.Workers.PropagationGridWorker do
  @moduledoc """
  Hourly Oban worker that downloads the latest HRRR data and computes
  propagation scores across the CONUS grid for all bands.
  """

  use Oban.Worker,
    queue: :propagation,
    max_attempts: 3

  alias Microwaveprop.Propagation
  alias Microwaveprop.Propagation.Grid
  alias Microwaveprop.Weather
  alias Microwaveprop.Weather.HrrrClient
  alias Microwaveprop.Weather.SoundingParams

  require Logger

  # Pause these queues while the grid fetch runs so they don't compete for bandwidth
  @pause_queues [:hrrr, :weather, :iemre, :terrain]

  @impl Oban.Worker
  def perform(%Oban.Job{}) do
    # HRRR takes ~45min to publish after the hour. Use 2 hours ago to ensure availability.
    two_hours_ago = DateTime.add(DateTime.utc_now(), -2, :hour)
    valid_time = two_hours_ago |> HrrrClient.nearest_hrrr_hour() |> DateTime.truncate(:second)
    points = Grid.conus_points()

    Logger.info("PropagationGrid: pausing backfill queues, fetching HRRR for #{valid_time}, #{length(points)} points")
    Enum.each(@pause_queues, &Oban.pause_queue(queue: &1))

    result =
      with {:ok, grid_data} <- HrrrClient.fetch_grid(points, valid_time) do
        # Store HRRR profiles in the database for future reference
        store_hrrr_profiles(grid_data, valid_time)

        scores = compute_scores(grid_data, valid_time)

        Logger.info("PropagationGrid: computed #{length(scores)} scores, upserting")

        case Propagation.upsert_scores(scores) do
          {:ok, count} ->
            Logger.info("PropagationGrid: upserted #{count} scores for #{valid_time}")
            Phoenix.PubSub.broadcast(Microwaveprop.PubSub, "propagation:updated", {:propagation_updated, valid_time})
            :ok

          error ->
            Logger.error("PropagationGrid: upsert failed: #{inspect(error)}")
            error
        end
      end

    Logger.info("PropagationGrid: resuming backfill queues")
    Enum.each(@pause_queues, &Oban.resume_queue(queue: &1))

    result
  end

  defp store_hrrr_profiles(grid_data, valid_time) do
    stored =
      Enum.flat_map(grid_data, fn {{lat, lon}, profile} ->
        if profile.surface_temp_c do
          params =
            if is_list(profile.profile) and length(profile.profile) >= 3,
              do: SoundingParams.derive(profile.profile)

          attrs = %{
            valid_time: valid_time,
            lat: lat,
            lon: lon,
            run_time: profile.run_time,
            profile: profile.profile || [],
            hpbl_m: profile.hpbl_m,
            pwat_mm: profile.pwat_mm,
            surface_temp_c: profile.surface_temp_c,
            surface_dewpoint_c: profile.surface_dewpoint_c,
            surface_pressure_mb: profile.surface_pressure_mb
          }

          attrs =
            if params do
              Map.merge(attrs, %{
                surface_refractivity: params.surface_refractivity,
                min_refractivity_gradient: params.min_refractivity_gradient,
                ducting_detected: params.ducting_detected,
                duct_characteristics: params.duct_characteristics
              })
            else
              attrs
            end

          [attrs]
        else
          []
        end
      end)

    # Batch upsert — skip duplicates
    stored
    |> Enum.chunk_every(500)
    |> Enum.each(fn chunk ->
      Weather.upsert_hrrr_profiles_batch(chunk)
    end)

    Logger.info("PropagationGrid: stored #{length(stored)} HRRR profiles")
  end

  defp compute_scores(grid_data, valid_time) do
    grid_data
    |> Task.async_stream(
      fn {{lat, lon}, profile} ->
        band_scores = Propagation.score_grid_point(profile, valid_time)

        Enum.map(band_scores, fn r ->
          %{
            lat: lat,
            lon: lon,
            valid_time: valid_time,
            band_mhz: r.band_mhz,
            score: r.score,
            factors: r.factors
          }
        end)
      end,
      max_concurrency: System.schedulers_online() * 2,
      timeout: 30_000
    )
    |> Enum.flat_map(fn
      {:ok, results} -> results
      {:exit, _reason} -> []
    end)
  end
end