CREATE TEMP TABLE base_views (name, def) AS VALUES (
    'gauges_base_view', $$
    SELECT
        g.location,
        isrs_asText(g.location) AS isrs_code,
        g.objname,
        g.geom,
        g.applicability_from_km,
        g.applicability_to_km,
        g.validity,
        g.zero_point,
        g.geodref,
        g.date_info,
        g.source_organization,
        g.erased,
        r.rwls AS reference_water_levels,
        wl.measure_date AS gm_measuredate,
        wl.water_level AS gm_waterlevel,
        wl.n AS gm_n_14d,
        fca.forecast_accuracy_3d,
        fca.forecast_accuracy_1d
    FROM waterway.gauges g
        LEFT JOIN (SELECT location, validity,
                    json_strip_nulls(json_object_agg(
                        coalesce(depth_reference, 'empty'), value)) AS rwls
                FROM waterway.gauges_reference_water_levels
                GROUP BY location, validity) AS r
            USING (location, validity)
        LEFT JOIN (SELECT DISTINCT ON (location)
                    location,
                    date_issue,
                    measure_date,
                    water_level,
                    count(*) OVER (PARTITION BY location) AS n
                FROM waterway.gauge_measurements
                WHERE measure_date
                    >= current_timestamp - '14 days 00:15'::interval
                ORDER BY location, measure_date DESC) AS wl
            USING (location)
        LEFT JOIN (SELECT DISTINCT ON (location)
                    location,
                    date_issue,
                    max(acc) FILTER (WHERE measure_date
                            <= current_timestamp + '1 day'::interval)
                        OVER loc_date_issue AS forecast_accuracy_1d,
                    max(acc) OVER loc_date_issue AS forecast_accuracy_3d
                FROM (SELECT location, date_issue, measure_date,
                        GREATEST(water_level - lower(conf_interval),
                            upper(conf_interval) - water_level) AS acc
                    FROM waterway.gauge_predictions
                    WHERE date_issue
                        >= current_timestamp - '14 days 00:15'::interval
                        AND measure_date BETWEEN current_timestamp
                            AND current_timestamp + '3 days'::interval) AS acc
                WINDOW loc_date_issue AS (PARTITION BY location, date_issue)
                ORDER BY location, date_issue DESC) AS fca
            ON fca.location = g.location AND fca.date_issue >= wl.date_issue
    $$);

UPDATE sys_admin.published_services
    SET
        wmst_attribute = 'valid_from',
        wmst_end_attribute = 'valid_to',
        view_def = $$
        SELECT
            b.id,
            lower(b.validity) AS valid_from,
            COALESCE(upper(b.validity), current_timestamp) AS valid_to,
            b.bottleneck_id,
            b.objnam,
            b.nobjnm,
            b.area,
            b.rb,
            b.lb,
            b.responsible_country,
            b.revisiting_time,
            b.limiting,
            b.date_info,
            b.source_organization,
            g.objname AS gauge_objname,
            g.reference_water_levels,
            fal.date_info AS fa_date_info,
            fal.critical AS fa_critical,
            g.gm_measuredate,
            g.gm_waterlevel,
            g.gm_n_14d,
            srl.date_max,
            g.forecast_accuracy_3d,
            g.forecast_accuracy_1d
        FROM waterway.bottlenecks b
            LEFT JOIN (
    $$ || (SELECT def FROM base_views WHERE name = 'gauges_base_view') || $$
            ) AS g
                ON b.gauge_location = g.location
                    AND g.validity @> current_timestamp
            LEFT JOIN (SELECT DISTINCT ON (bottleneck_id)
                        bottleneck_id, date_info, critical
                    FROM waterway.fairway_availability
                    ORDER BY bottleneck_id, date_info DESC) AS fal
                ON b.bottleneck_id = fal.bottleneck_id
            LEFT JOIN (SELECT DISTINCT ON (bottleneck_id)
                        bottleneck_id, max(date_info) AS date_max
                    FROM waterway.sounding_results
                    GROUP BY bottleneck_id
                    ORDER BY bottleneck_id DESC) AS srl
                ON b.bottleneck_id = srl.bottleneck_id
            $$
    WHERE schema = 'waterway' AND name = 'bottlenecks_geoserver';