defmodule Plausible.Stats.SQL.QueryBuilder do
  @moduledoc false

  use Plausible
  use Plausible.Stats.SQL.Fragments

  import Ecto.Query
  import Plausible.Stats.Imported
  import Plausible.Stats.Util

  alias Plausible.Stats.{Query, QueryOptimizer, TableDecider, SQL}
  alias Plausible.Stats.SQL.Expression
  alias Plausible.Stats.Legacy.TimeOnPage

  require Plausible.Stats.SQL.Expression

  def build(query, site) do
    query
    |> QueryOptimizer.split()
    |> Enum.map(fn {table_type, table_query} ->
      q = build_table_query(table_type, site, table_query)
      {table_type, table_query, q}
    end)
    |> join_query_results(query)
    |> build_order_by(query)
    |> paginate(query.pagination)
    |> select_total_rows(query.include.total_rows)
  end

  def build_order_by(q, query) do
    Enum.reduce(query.order_by || [], q, &build_order_by(&2, query, &1))
  end

  defp build_table_query(:events, site, events_query) do
    q =
      from(
        e in "events_v2",
        where: ^SQL.WhereBuilder.build(:events, events_query),
        select: ^select_event_metrics(events_query)
      )

    on_ee do
      q = Plausible.Stats.Sampling.add_query_hint(q, events_query)
    end

    q
    |> join_sessions_if_needed(events_query)
    |> build_group_by(:events, events_query)
    |> merge_imported(site, events_query)
    |> SQL.SpecialMetrics.add(site, events_query)
    |> TimeOnPage.merge_legacy_time_on_page(events_query)
  end

  defp build_table_query(:sessions, site, sessions_query) do
    q =
      from(
        e in "sessions_v2",
        where: ^SQL.WhereBuilder.build(:sessions, sessions_query),
        select: ^select_session_metrics(sessions_query)
      )

    on_ee do
      q = Plausible.Stats.Sampling.add_query_hint(q, sessions_query)
    end

    q
    |> join_events_if_needed(sessions_query)
    |> build_group_by(:sessions, sessions_query)
    |> merge_imported(site, sessions_query)
    |> SQL.SpecialMetrics.add(site, sessions_query)
  end

  defp join_sessions_if_needed(q, query) do
    if TableDecider.events_join_sessions?(query) do
      sessions_q =
        from(
          s in "sessions_v2",
          where: ^SQL.WhereBuilder.build(:sessions, query),
          where: s.sign == 1,
          select: %{session_id: s.session_id},
          group_by: s.session_id
        )

      on_ee do
        sessions_q = Plausible.Stats.Sampling.add_query_hint(sessions_q, query)
      end

      from(
        e in q,
        join: sq in subquery(sessions_q),
        on: e.session_id == sq.session_id
      )
    else
      q
    end
  end

  def join_events_if_needed(q, query) do
    if TableDecider.sessions_join_events?(query) do
      events_q =
        from(e in "events_v2",
          where: ^SQL.WhereBuilder.build(:events, query),
          select: %{
            session_id: fragment("DISTINCT ?", e.session_id),
            _sample_factor: fragment("_sample_factor")
          }
        )

      on_ee do
        events_q = Plausible.Stats.Sampling.add_query_hint(events_q, query)
      end

      from(s in q,
        join: e in subquery(events_q),
        on: s.session_id == e.session_id
      )
    else
      q
    end
  end

  defp select_event_metrics(query) do
    query.metrics
    |> Enum.map(&SQL.Expression.event_metric(&1, query))
    |> Enum.reduce(%{}, &Map.merge/2)
  end

  defp select_session_metrics(query) do
    query.metrics
    |> Enum.map(&SQL.Expression.session_metric(&1, query))
    |> Enum.reduce(%{}, &Map.merge/2)
  end

  def build_group_by(q, table, query) do
    Enum.reduce(query.dimensions, q, &dimension_group_by(&2, table, query, &1))
  end

  defp dimension_group_by(q, :events, query, "event:goal" = dimension) do
    goal_join_data = Plausible.Stats.Goals.goal_join_data(query)

    from(e in q,
      join: goal in Expression.event_goal_join(goal_join_data),
      hints: "ARRAY",
      on: true,
      select_merge: %{
        ^shortname(query, dimension) => fragment("?", goal)
      },
      group_by: goal
    )
  end

  defp dimension_group_by(q, table, query, dimension) do
    key = shortname(query, dimension)

    q
    |> Expression.select_dimension(key, dimension, table, query)
    |> group_by([], selected_as(^key))
  end

  defp build_order_by(q, query, {metric_or_dimension, order_direction}) do
    order_by(
      q,
      [t],
      {
        ^order_direction,
        selected_as(^shortname(query, metric_or_dimension))
      }
    )
  end

  # Only one table is being queried - skip joining!
  defp join_query_results([{_table_type, _query, q}], _main_query), do: q

  # Multiple tables: join results based on dimensions, select metrics from each and the appropriate dimensions.
  defp join_query_results(queries, main_query) do
    queries
    |> Enum.reduce(nil, fn
      {_table_type, query, q}, nil ->
        from(e in subquery(q))
        |> select_join_metrics(query, query.metrics)

      {_table_type, query, q}, acc ->
        join(acc, main_query.sql_join_type, [], s in subquery(q),
          on: ^build_group_by_join(main_query)
        )
        |> select_join_metrics(query, query.metrics -- [:sample_percent])
    end)
    |> select_dimensions(main_query, queries)
  end

  # NOTE: Old queries do their own pagination
  defp paginate(q, nil = _pagination), do: q

  defp paginate(q, pagination) do
    q
    |> limit(^pagination.limit)
    |> offset(^pagination.offset)
  end

  defp select_total_rows(q, false = _include_total_rows), do: q

  defp select_total_rows(q, true = _include_total_rows) do
    q
    |> select_merge([], %{total_rows: fragment("count() over ()")})
  end

  def build_group_by_join(%Query{dimensions: []}), do: true

  def build_group_by_join(query) do
    query.dimensions
    |> Enum.map(fn dim ->
      dynamic([a, ..., b], field(a, ^shortname(query, dim)) == field(b, ^shortname(query, dim)))
    end)
    |> Enum.reduce(fn condition, acc -> dynamic([], ^acc and ^condition) end)
  end

  defp select_join_metrics(q, query, metrics) do
    Enum.reduce(metrics, q, fn
      metric, q ->
        select_merge_as(q, [..., x], %{
          shortname(query, metric) => field(x, ^shortname(query, metric))
        })
    end)
  end

  defp select_dimensions(q, query, queries) do
    Enum.reduce(query.dimensions, q, fn dimension, q ->
      case select_from(dimension, query, queries) do
        :leftmost_table ->
          select_merge_as(q, [x], %{
            shortname(query, dimension) => field(x, ^shortname(query, dimension))
          })

        :rightmost_table ->
          select_merge_as(q, [..., x], %{
            shortname(query, dimension) => field(x, ^shortname(query, dimension))
          })
      end
    end)
  end

  defp select_from(dimension, query, queries) do
    smeared? = Enum.any?(queries, fn {_table_type, query, _q} -> query.smear_session_metrics end)

    cond do
      query.sql_join_type == :left -> :leftmost_table
      # We generally select dimensions from the left-most table. Only exception is time:minute/time:hour where
      # we use sessions table as smeared sessions are considered on-going during the whole period.
      dimension in ["time:minute", "time:hour"] and smeared? -> :rightmost_table
      true -> :leftmost_table
    end
  end
end
