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144 lines
4 KiB
Elixir
144 lines
4 KiB
Elixir
defmodule Philomena.Autocomplete do
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@moduledoc """
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Pregenerated autocomplete files.
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"""
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import Ecto.Query, warn: false
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alias Philomena.Repo
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alias Philomena.Tags.Tag
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alias Philomena.Images.Tagging
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alias Philomena.Autocomplete.Autocomplete
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@type tags_list() :: [{String.t(), number(), number()}]
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@type assoc_map() :: %{String.t() => [number()]}
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@spec get_autocomplete() :: Autocomplete.t() | nil
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def get_autocomplete do
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Autocomplete
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|> order_by(desc: :created_at)
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|> limit(1)
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|> Repo.one()
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end
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def generate_autocomplete! do
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tags = get_tags()
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associations = get_associations(tags)
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# Tags are already sorted, so just add them to the file directly
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#
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# struct tag {
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# uint8_t key_length;
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# uint8_t key[];
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# uint8_t association_length;
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# uint32_t associations[];
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# };
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#
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# struct tag_reference {
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# uint32_t tag_location;
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# uint32_t num_uses;
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# };
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#
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{ac_file, references} =
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Enum.reduce(tags, {<<>>, <<>>}, fn {name, images_count, _}, {file, references} ->
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pos = byte_size(file)
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assn = Map.get(associations, name, [])
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assn_bin = for id <- assn, into: <<>>, do: <<id::32-little>>
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{
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<<file::binary, byte_size(name)::8, name::binary, length(assn)::8, assn_bin::binary>>,
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<<references::binary, pos::32-little, images_count::32-little>>
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}
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end)
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ac_file = int32_align(ac_file)
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reference_start = byte_size(ac_file)
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# Finally add the reference start and number of tags in the footer
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#
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# struct autocomplete_file {
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# struct tag tags[];
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# struct tag_reference references[];
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# uint32_t format_version;
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# uint32_t reference_start;
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# uint32_t num_tags;
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# };
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#
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ac_file =
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<<ac_file::binary, references::binary, 1::32-little, reference_start::32-little,
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length(tags)::32-little>>
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# Insert the autocomplete binary
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new_ac =
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%Autocomplete{}
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|> Autocomplete.changeset(%{content: ac_file})
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|> Repo.insert!()
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# Remove anything older
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Autocomplete
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|> where([ac], ac.created_at < ^new_ac.created_at)
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|> Repo.delete_all()
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end
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#
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# Get the names of tags and their number of uses as a map.
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# Sort is done in the application to avoid collation.
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#
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@spec get_tags() :: tags_list()
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defp get_tags do
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Tag
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|> select([t], {t.name, t.images_count, t.id})
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|> where([t], t.images_count > 0)
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|> order_by(desc: :images_count)
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|> limit(65_535)
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|> Repo.all()
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|> Enum.filter(fn {name, _, _} -> byte_size(name) < 255 end)
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|> Enum.sort()
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end
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#
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# Get up to eight associated tag ids for each returned tag.
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#
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@spec get_associations(tags_list()) :: assoc_map()
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defp get_associations(tags) do
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tags
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|> Enum.map(fn {name, images_count, id} ->
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# Randomly sample 100 images with this tag
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image_sample =
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Tagging
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|> where(tag_id: ^id)
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|> select([it], it.image_id)
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|> order_by(asc: fragment("random()"))
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|> limit(100)
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# Select the tags from those images which have more uses than
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# the current one being considered, and overlap more than 50%
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assoc_ids =
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Tagging
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|> join(:inner, [it], _ in assoc(it, :tag))
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|> where([_, t], t.images_count > ^images_count)
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|> where([it, _], it.image_id in subquery(image_sample))
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|> group_by([_, t], t.id)
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|> order_by(desc: fragment("count(*)"))
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|> having([_, t], fragment("(100 * count(*)::float / LEAST(?, 100)) > 50", ^images_count))
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|> select([_, t], t.id)
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|> limit(8)
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|> Repo.all(timeout: 120_000)
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{name, assoc_ids}
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end)
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|> Map.new()
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end
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#
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# Right-pad a binary to be a multiple of 4 bytes.
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#
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@spec int32_align(binary()) :: binary()
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defp int32_align(bin) do
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pad_bits = 8 * (4 - rem(byte_size(bin), 4))
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<<bin::binary, 0::size(pad_bits)>>
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end
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end
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