- extractor: log warning when point falls outside Lambert grid bounds - wgrib2: log warning when inventory lines are unparseable - hrrr_client: optimize wgrib2_match_pattern with uniq_by + map_join - gefs_client: same optimization
204 lines
6.3 KiB
Elixir
204 lines
6.3 KiB
Elixir
defmodule Microwaveprop.Weather.Grib2.Extractor do
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@moduledoc false
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alias Microwaveprop.Weather.Grib2.ComplexPacking
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alias Microwaveprop.Weather.Grib2.LambertConformal
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alias Microwaveprop.Weather.Grib2.Section
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alias Microwaveprop.Weather.Grib2.SimplePacking
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require Logger
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@doc """
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Extract weather values from a GRIB2 binary blob at the given lat/lon.
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Returns `{:ok, %{"VAR:LEVEL" => float}}` or `{:error, term}`.
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"""
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@spec extract_points(binary(), float(), float()) :: {:ok, %{String.t() => float()}} | {:error, term()}
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def extract_points(binary, lat, lon) do
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messages = split_messages(binary)
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Enum.reduce(messages, {:ok, %{}}, fn
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msg, {:ok, acc} ->
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case extract_single(msg, lat, lon) do
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{:ok, key, value} -> {:ok, Map.put(acc, key, value)}
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{:error, :outside_grid} -> {:error, :outside_grid}
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{:error, _reason} -> {:ok, acc}
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end
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_msg, error ->
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error
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end)
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end
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@doc """
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Extract weather values from a GRIB2 binary blob for multiple lat/lon points.
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Takes a binary and a list of `{lat, lon}` tuples.
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Returns `{:ok, %{{lat, lon} => %{"VAR:LEVEL" => float}}}` or `{:error, term}`.
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"""
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@spec extract_grid(binary(), [{float(), float()}]) ::
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{:ok, %{{float(), float()} => %{String.t() => float()}}} | {:error, term()}
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def extract_grid(binary, points) do
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messages = split_messages(binary)
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# Pre-compute grid indices once from the first message's grid params.
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# All messages in the same GRIB2 file share the same grid.
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grid_indices =
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case messages do
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[first_msg | _] ->
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case Section.parse_message(first_msg) do
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{:ok, %{grid_params: grid}} -> precompute_indices(grid, points)
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_ -> []
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end
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[] ->
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[]
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end
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if grid_indices == [] do
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{:ok, %{}}
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else
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messages
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|> reduce_messages(grid_indices, init_grid(points))
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|> filter_empty_grid()
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end
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end
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defp reduce_messages(messages, grid_indices, initial_grid) do
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Enum.reduce(messages, {:ok, initial_grid}, fn msg, {:ok, acc} ->
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case extract_grid_with_indices(msg, grid_indices) do
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{:ok, key, values} ->
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{:ok, merge_grid_values(values, acc, key)}
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{:error, _reason} ->
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{:ok, acc}
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end
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end)
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end
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defp filter_empty_grid({:ok, grid}) do
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{:ok, Map.reject(grid, fn {_point, values} -> values == %{} end)}
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end
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defp filter_empty_grid(error), do: error
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@doc """
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Split a binary blob into individual GRIB2 messages by scanning for "GRIB" magic bytes
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and reading the total length from the indicator section.
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"""
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@spec split_messages(binary()) :: [binary()]
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def split_messages(binary), do: split_messages(binary, [])
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@doc """
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Compute linear index from grid (i, j) and scan mode.
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For HRRR scan_mode=64 (j positive, i positive, i consecutive): index = j * nx + i
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"""
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@spec linear_index({non_neg_integer(), non_neg_integer()}, pos_integer(), non_neg_integer()) ::
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number()
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def linear_index({i, j}, nx, _scan_mode) do
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j * nx + i
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end
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# --- Private ---
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defp split_messages(<<>>, acc), do: Enum.reverse(acc)
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defp split_messages(<<"GRIB", _::32, total_length::64-big, _rest::binary>> = binary, acc) do
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if total_length > byte_size(binary) do
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Enum.reverse(acc)
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else
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msg = binary_part(binary, 0, total_length)
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remaining = binary_part(binary, total_length, byte_size(binary) - total_length)
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split_messages(remaining, [msg | acc])
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end
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end
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defp split_messages(<<_::8, rest::binary>>, acc) do
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# Skip non-GRIB bytes (padding between messages)
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split_messages(rest, acc)
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end
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defp init_grid(points) do
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Map.new(points, fn point -> {point, %{}} end)
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end
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# Pre-compute Lambert Conformal grid indices for all points (done once, reused per message)
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defp precompute_indices(grid, points) do
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Enum.flat_map(points, fn {lat, lon} = point ->
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case LambertConformal.to_grid_index(grid, lat, lon) do
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{:ok, {i, j}} ->
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[{point, linear_index({i, j}, grid.nx, grid.scan_mode)}]
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{:error, :outside_grid} ->
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Logger.warning("Extractor: point #{lat},#{lon} outside Lambert grid bounds")
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[]
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end
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end)
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end
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# Extract values for all pre-computed indices from a single GRIB message
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defp extract_grid_with_indices(msg, grid_indices) do
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with {:ok, parsed} <- Section.parse_message(msg) do
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%{product: prod, packing_params: packing, data: data} = parsed
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key = "#{prod.var}:#{prod.level}"
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# For complex packing, decode_all is called once; for simple, each index is independent
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unique_indices = grid_indices |> Enum.map(&elem(&1, 1)) |> Enum.uniq()
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case batch_unpack(packing, data, unique_indices) do
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{:ok, index_values} ->
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{:ok, key, resolve_grid_values(grid_indices, index_values)}
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{:error, reason} ->
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{:error, reason}
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end
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end
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rescue
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e -> {:error, "GRIB2 grid extraction failed: #{inspect(e)}"}
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end
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defp merge_grid_values(values, grid, key) do
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Enum.reduce(values, grid, fn {point, value}, acc ->
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Map.update!(acc, point, &Map.put(&1, key, value))
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end)
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end
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defp resolve_grid_values(grid_indices, index_values) do
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Enum.flat_map(grid_indices, fn {point, index} ->
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case Map.get(index_values, index) do
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nil -> []
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value -> [{point, value}]
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end
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end)
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end
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defp batch_unpack(%{template: 3} = params, data, indices) do
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ComplexPacking.extract_values(params, data, indices)
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end
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defp batch_unpack(params, data, indices) do
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SimplePacking.extract_values(params, data, indices)
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end
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defp extract_single(msg, lat, lon) do
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with {:ok, parsed} <- Section.parse_message(msg),
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%{grid_params: grid, product: prod, packing_params: packing, data: data} = parsed,
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key = "#{prod.var}:#{prod.level}",
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{:ok, {i, j}} <- LambertConformal.to_grid_index(grid, lat, lon),
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index = linear_index({i, j}, grid.nx, grid.scan_mode),
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{:ok, value} <- unpack_value(packing, data, index) do
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{:ok, key, value}
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end
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rescue
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e -> {:error, "GRIB2 extraction failed: #{inspect(e)}"}
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end
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defp unpack_value(%{template: 3} = params, data, index) do
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ComplexPacking.extract_value(params, data, index)
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end
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defp unpack_value(params, data, index) do
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SimplePacking.extract_value(params, data, index)
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end
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end
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