-- Denní ekonomika za časové okno [p_ts_from, p_ts_to) bez joinu na vw_site_effective_price
-- (ten dělá cross join mip × site_market_config a je extrémně drahý při agregaci přes vw_economics_daily).
-- Ceny = fn_effective_buy_price / fn_effective_sell_price (stejně jako ve vw_site_effective_price).

create or replace function ems.fn_economics_daily_for_window(
  p_site_id int,
  p_ts_from timestamptz,
  p_ts_to timestamptz
)
returns table (
  site_id int,
  day_local date,
  interval_count int,
  import_kwh numeric,
  export_kwh numeric,
  pv_kwh numeric,
  load_kwh numeric,
  pv_self_consumption_kwh numeric,
  ev_kwh numeric,
  hp_kwh numeric,
  grid_import_cashflow_czk numeric,
  grid_export_revenue_czk numeric,
  import_cost_czk numeric,
  export_revenue_czk numeric,
  net_cost_czk numeric,
  green_bonus_czk numeric,
  total_balance_czk numeric,
  planned_net_cost_czk numeric,
  planned_balance_czk numeric,
  deviation_cost_czk numeric
)
language sql
stable
as $fn$
  with slots as (
    select
      ai.site_id,
      (date_trunc('day', ai.interval_start at time zone 'Europe/Prague'))::date as day_local,
      round(
        coalesce(ai.actual_grid_import_wh, greatest(ai.actual_grid_power_w, 0)::numeric / 4) / 1000,
        4
      ) as import_kwh,
      round(
        coalesce(ai.actual_grid_export_wh, abs(least(ai.actual_grid_power_w, 0))::numeric / 4) / 1000,
        4
      ) as export_kwh,
      round(
        coalesce(ai.actual_grid_import_wh, greatest(ai.actual_grid_power_w, 0)::numeric / 4) / 1000.0
        * coalesce(pr.buy_p, 0),
        4
      ) as grid_import_cashflow_czk,
      round(
        coalesce(ai.actual_grid_export_wh, abs(least(ai.actual_grid_power_w, 0))::numeric / 4) / 1000.0
        * coalesce(pr.sell_p, 0),
        4
      ) as grid_export_revenue_czk,
      round(
        coalesce(ai.actual_grid_import_wh, greatest(ai.actual_grid_power_w, 0)::numeric / 4) / 1000.0
        * coalesce(pr.buy_p, 0)
        - coalesce(ai.actual_grid_export_wh, abs(least(ai.actual_grid_power_w, 0))::numeric / 4) / 1000.0
        * coalesce(pr.sell_p, 0),
        4
      ) as dynamic_cost_czk,
      ai.green_bonus_czk,
      pi.expected_cost_czk as planned_cost_czk,
      ai.actual_pv_power_w,
      ai.actual_load_power_w,
      ai.actual_ev_power_w,
      ai.actual_heat_pump_power_w
    from ems.audit_interval ai
    left join ems.planning_interval pi
      on pi.run_id = ai.planning_run_id
     and pi.interval_start = ai.interval_start
    cross join lateral (
      select
        ems.fn_effective_buy_price(ai.site_id, ai.interval_start) as buy_p,
        ems.fn_effective_sell_price(ai.site_id, ai.interval_start) as sell_p
    ) pr
    where ai.site_id = p_site_id
      and ai.interval_start >= p_ts_from
      and ai.interval_start < p_ts_to
  ),
  daily_agg as (
    select
      s.site_id,
      s.day_local,
      count(*)::int as interval_count,
      round(sum(s.import_kwh), 3) as import_kwh,
      round(sum(s.export_kwh), 3) as export_kwh,
      round(sum(greatest(s.actual_pv_power_w, 0)::numeric / 4000), 3) as pv_kwh,
      round(sum(greatest(s.actual_load_power_w, 0)::numeric / 4000), 3) as load_kwh,
      round(sum(greatest(s.actual_ev_power_w, 0)::numeric / 4000), 3) as ev_kwh,
      round(sum(greatest(s.actual_heat_pump_power_w, 0)::numeric / 4000), 3) as hp_kwh,
      round(
        sum(greatest(s.actual_pv_power_w, 0)::numeric / 4000) - sum(s.export_kwh),
        3
      ) as pv_self_consumption_kwh,
      round(sum(s.grid_import_cashflow_czk), 2) as grid_import_cashflow_czk,
      round(sum(s.grid_export_revenue_czk), 2) as grid_export_revenue_czk,
      round(sum(case when s.dynamic_cost_czk > 0 then s.dynamic_cost_czk else 0 end), 2) as import_cost_czk,
      round(sum(case when s.dynamic_cost_czk < 0 then abs(s.dynamic_cost_czk) else 0 end), 2) as export_revenue_czk,
      round(sum(s.dynamic_cost_czk), 2) as net_cost_czk,
      round(coalesce(sum(s.green_bonus_czk), 0), 2) as green_bonus_czk,
      round(-sum(s.dynamic_cost_czk) + coalesce(sum(s.green_bonus_czk), 0), 2) as total_balance_czk,
      round(sum(s.planned_cost_czk), 2) as planned_net_cost_czk,
      round(-coalesce(sum(s.planned_cost_czk), 0), 2) as planned_balance_czk,
      round(sum(s.dynamic_cost_czk) - coalesce(sum(s.planned_cost_czk), 0), 2) as deviation_cost_czk
    from slots s
    group by s.site_id, s.day_local
  )
  select
    d.site_id,
    d.day_local,
    d.interval_count,
    d.import_kwh,
    d.export_kwh,
    d.pv_kwh,
    d.load_kwh,
    d.pv_self_consumption_kwh,
    d.ev_kwh,
    d.hp_kwh,
    d.grid_import_cashflow_czk,
    d.grid_export_revenue_czk,
    d.import_cost_czk,
    d.export_revenue_czk,
    d.net_cost_czk,
    d.green_bonus_czk,
    d.total_balance_czk,
    d.planned_net_cost_czk,
    d.planned_balance_czk,
    d.deviation_cost_czk
  from daily_agg d
  order by d.day_local;
$fn$;

comment on function ems.fn_economics_daily_for_window is
  'Denní souhrn ekonomiky pro site v polovičně otevřeném UTC okně [from, to); bez vw_site_effective_price.';

create or replace function ems.fn_economics_daily_month(
  p_site_id int,
  p_month_start date,
  p_month_end date
)
returns jsonb
language sql
stable
as $fn$
  select jsonb_build_object(
    'has_green_bonus',
    exists (
      select 1
      from ems.asset_pv_array apv
      where apv.site_id = p_site_id
        and apv.green_bonus_czk_kwh is not null
    ),
    'days',
    coalesce(
      (
        select jsonb_agg(sub.day_row order by sub.day_local)
        from (
          select
            r.day_local,
            jsonb_build_object(
              'day', r.day_local,
              'interval_count', r.interval_count,
              'import_kwh', r.import_kwh,
              'export_kwh', r.export_kwh,
              'pv_kwh', r.pv_kwh,
              'load_kwh', r.load_kwh,
              'pv_self_consumption_kwh', r.pv_self_consumption_kwh,
              'ev_kwh', r.ev_kwh,
              'hp_kwh', r.hp_kwh,
              'import_cost_czk',
              case when l.site_id is not null then l.import_cost_czk else r.import_cost_czk end,
              'export_revenue_czk',
              case when l.site_id is not null then l.export_revenue_czk else r.export_revenue_czk end,
              'grid_import_cashflow_czk',
              coalesce(l.grid_import_cashflow_czk, r.grid_import_cashflow_czk),
              'grid_export_revenue_czk',
              coalesce(l.grid_export_revenue_czk, r.grid_export_revenue_czk),
              'net_cost_czk',
              case when l.site_id is not null then l.net_cost_czk else r.net_cost_czk end,
              'green_bonus_czk',
              case when l.site_id is not null then l.green_bonus_czk else r.green_bonus_czk end,
              'total_balance_czk',
              case when l.site_id is not null then l.total_balance_czk else r.total_balance_czk end,
              'planned_balance_czk', r.planned_balance_czk,
              'deviation_cost_czk', r.deviation_cost_czk,
              'is_locked', (l.site_id is not null)
            ) as day_row
          from ems.fn_economics_daily_for_window(
            p_site_id,
            (p_month_start::timestamp at time zone 'Europe/Prague'),
            (p_month_end::timestamp at time zone 'Europe/Prague')
          ) r
          left join ems.audit_day_lock l
            on l.site_id = r.site_id
           and l.day_local = r.day_local
          order by r.day_local
        ) sub
      ),
      '[]'::jsonb
    )
  );
$fn$;

comment on function ems.fn_economics_daily_month(int, date, date) is
  'Měsíční denní ekonomika + lock merge jako JSON (GET /economics/daily).';