89 lines
3.5 KiB
SQL
89 lines
3.5 KiB
SQL
create or replace function ems.fn_energy_flows_daily_month(
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p_site_id int,
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p_month_start date,
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p_month_end date
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)
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returns jsonb
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language sql
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stable
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as $fn$
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select jsonb_build_object(
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'days',
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coalesce(
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jsonb_agg(t.row_json order by t.day_local),
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'[]'::jsonb
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)
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)
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from (
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select
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(date_trunc('day', ai.interval_start at time zone 'Europe/Prague'))::date as day_local,
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jsonb_build_object(
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'day', (date_trunc('day', ai.interval_start at time zone 'Europe/Prague'))::date,
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'interval_count', count(*)::int,
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'pv_production_kwh', round(sum(coalesce(ai.actual_pv_production_wh, 0)) / 1000, 3),
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'grid_import_kwh', round(sum(ems.fn_audit_grid_import_wh_for_economics(
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ai.actual_grid_import_wh, ai.actual_grid_export_wh, ai.actual_grid_power_w)) / 1000, 3),
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'grid_export_kwh', round(sum(ems.fn_audit_grid_export_wh_for_economics(
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ai.actual_grid_import_wh, ai.actual_grid_export_wh, ai.actual_grid_power_w)) / 1000, 3),
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'batt_charge_kwh', round(sum(coalesce(ai.actual_batt_charge_wh, 0)) / 1000, 3),
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'batt_discharge_kwh', round(sum(coalesce(ai.actual_batt_discharge_wh, 0)) / 1000, 3),
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'load_kwh', round(sum(coalesce(ai.actual_load_consumption_wh, 0)) / 1000, 3),
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'pv_to_load_kwh', round(sum(coalesce(ai.flow_pv_to_load_wh, 0)) / 1000, 3),
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'pv_to_batt_kwh', round(sum(coalesce(ai.flow_pv_to_batt_wh, 0)) / 1000, 3),
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'pv_to_grid_kwh', round(sum(coalesce(ai.flow_pv_to_grid_wh, 0)) / 1000, 3),
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'batt_to_load_kwh', round(sum(coalesce(ai.flow_batt_to_load_wh, 0)) / 1000, 3),
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'batt_to_grid_kwh', round(sum(coalesce(ai.flow_batt_to_grid_wh, 0)) / 1000, 3),
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'grid_to_load_kwh', round(sum(coalesce(ai.flow_grid_to_load_wh, 0)) / 1000, 3),
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'grid_to_batt_kwh', round(sum(coalesce(ai.flow_grid_to_batt_wh, 0)) / 1000, 3),
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'grid_import_cashflow_czk',
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round(
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sum(
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ems.fn_audit_grid_import_wh_for_economics(
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ai.actual_grid_import_wh, ai.actual_grid_export_wh, ai.actual_grid_power_w
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) / 1000.0
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* coalesce(ep.effective_buy_price_czk_kwh, 0)
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),
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2
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),
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'grid_export_revenue_czk',
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round(
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sum(
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ems.fn_audit_grid_export_wh_for_economics(
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ai.actual_grid_import_wh, ai.actual_grid_export_wh, ai.actual_grid_power_w
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) / 1000.0
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* coalesce(ep.effective_sell_price_czk_kwh, 0)
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),
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2
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),
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'grid_to_load_cost_czk',
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round(
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sum(
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coalesce(ai.flow_grid_to_load_wh, 0) / 1000.0
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* coalesce(ep.effective_buy_price_czk_kwh, 0)
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),
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2
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),
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'grid_to_batt_cost_czk',
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round(
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sum(
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coalesce(ai.flow_grid_to_batt_wh, 0) / 1000.0
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* coalesce(ep.effective_buy_price_czk_kwh, 0)
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),
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2
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)
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) as row_json
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from ems.audit_interval ai
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left join ems.vw_site_effective_price ep
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on ep.site_id = ai.site_id
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and ep.interval_start = ai.interval_start
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where ai.site_id = p_site_id
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and (date_trunc('day', ai.interval_start at time zone 'Europe/Prague'))::date >= p_month_start
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and (date_trunc('day', ai.interval_start at time zone 'Europe/Prague'))::date < p_month_end
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group by 1
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order by 1
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) t;
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$fn$;
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comment on function ems.fn_energy_flows_daily_month(int, date, date) is
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'Denní agregace energy flows za měsíc jako JSON pole řádků.';
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