kalibrace per pole

db/routines/R__022_fn_fill_forecast_accuracy.sql

@@ -12,7 +12,8 @@ BEGIN
         site_id, pv_array_id, interval_start, run_id,
         forecast_power_w, forecast_created_at, lead_time_hours,
         actual_power_w, actual_filled_at,
-        error_w, error_pct
+        error_w, error_pct,
+        learning_eligible, learning_exclude_reason
     )
     SELECT
         fpr.site_id,
@@ -25,10 +26,17 @@ BEGIN
             EXTRACT(EPOCH FROM (fpi.interval_start - fpr.created_at))
             / 3600.0, 2
         )                                                    AS lead_time_hours,
-        slot.avg_actual_w::INT                               AS actual_power_w,
-        now()                                                AS actual_filled_at,
-        fpi.power_w - COALESCE(slot.avg_actual_w::INT, 0)    AS error_w,
         CASE
+            WHEN v.is_curtailed_learning_slot THEN NULL
+            ELSE slot.avg_actual_w::INT
+        END                                                  AS actual_power_w,
+        now()                                                AS actual_filled_at,
+        CASE
+            WHEN v.is_curtailed_learning_slot THEN NULL
+            ELSE fpi.power_w - COALESCE(slot.avg_actual_w::INT, 0)
+        END                                                  AS error_w,
+        CASE
+            WHEN v.is_curtailed_learning_slot THEN NULL
             WHEN slot.avg_actual_w IS NOT NULL
                  AND slot.avg_actual_w > 0
             THEN ROUND(
@@ -37,10 +45,62 @@ BEGIN
                 4
             )
             ELSE NULL
-        END                                                  AS error_pct
+        END                                                  AS error_pct,
+        v.learning_eligible,
+        v.learning_exclude_reason
     FROM ems.forecast_pv_interval fpi
     JOIN ems.forecast_pv_run fpr ON fpr.id = fpi.run_id
     JOIN ems.asset_pv_array pa   ON pa.id  = fpr.pv_array_id
+    LEFT JOIN ems.site_pv_forecast_calibration cal
+      ON cal.site_id = fpr.site_id
+    LEFT JOIN LATERAL (
+        SELECT
+            coalesce(cal.delta_learn_min_ts, timestamptz '2026-04-11T22:00:00Z') AS delta_learn_min_ts,
+            cal.pv_curtailment_policy_effective_from AS policy_from
+    ) cal_eff ON true
+    LEFT JOIN LATERAL (
+        SELECT pi.pv_a_curtailed_w, pi.deye_gen_cutoff_enabled
+        FROM ems.planning_interval pi
+        JOIN ems.planning_run pr ON pr.id = pi.run_id
+        WHERE pr.site_id = fpr.site_id
+          AND pr.status = 'active'
+          AND pi.interval_start = fpi.interval_start
+        LIMIT 1
+    ) ap ON true
+    LEFT JOIN LATERAL (
+        SELECT
+            (fpi.interval_start < cal_eff.delta_learn_min_ts) AS before_learn_cutoff,
+            (
+                cal_eff.policy_from IS NOT NULL
+                AND fpi.interval_start >= cal_eff.policy_from
+                AND (
+                    coalesce(ap.pv_a_curtailed_w, 0) > 50
+                    OR coalesce(ap.deye_gen_cutoff_enabled, false) IS TRUE
+                    OR EXISTS (
+                        SELECT 1
+                        FROM ems.cutoff_switch_log l
+                        WHERE l.site_id = fpr.site_id
+                          AND l.switched_at >= fpi.interval_start
+                          AND l.switched_at < fpi.interval_start + INTERVAL '15 minutes'
+                          AND l.new_state IS FALSE
+                    )
+                )
+            ) AS is_curtailed_learning_slot
+    ) flags ON true
+    LEFT JOIN LATERAL (
+        SELECT
+            CASE
+                WHEN flags.before_learn_cutoff THEN false
+                WHEN flags.is_curtailed_learning_slot THEN false
+                ELSE true
+            END AS learning_eligible,
+            CASE
+                WHEN flags.before_learn_cutoff THEN 'before_delta_learn_min'
+                WHEN flags.is_curtailed_learning_slot THEN 'curtailment_or_export_cutoff'
+                ELSE NULL
+            END AS learning_exclude_reason,
+            flags.is_curtailed_learning_slot
+    ) v ON true
     LEFT JOIN LATERAL (
         SELECT AVG(
             CASE
@@ -58,10 +118,12 @@ BEGIN
       AND fpi.interval_start < now() - INTERVAL '15 minutes'
       AND fpi.interval_start >= now() - make_interval(hours => p_lookback_hours)
     ON CONFLICT (run_id, interval_start) DO UPDATE SET
-        actual_power_w   = EXCLUDED.actual_power_w,
-        actual_filled_at = EXCLUDED.actual_filled_at,
-        error_w          = EXCLUDED.error_w,
-        error_pct        = EXCLUDED.error_pct;
+        actual_power_w            = EXCLUDED.actual_power_w,
+        actual_filled_at          = EXCLUDED.actual_filled_at,
+        error_w                   = EXCLUDED.error_w,
+        error_pct                 = EXCLUDED.error_pct,
+        learning_eligible         = EXCLUDED.learning_eligible,
+        learning_exclude_reason   = EXCLUDED.learning_exclude_reason;
 
     GET DIAGNOSTICS v_count = ROW_COUNT;
     RETURN v_count;
@@ -70,6 +132,8 @@ $$;
 
 COMMENT ON FUNCTION ems.fn_fill_forecast_accuracy(INT, INT) IS
 'Doplní skutečné hodnoty výroby do forecast_accuracy z telemetrie.
+learning_eligible / learning_exclude_reason: před delta_learn_min_ts (kalibrace site) se nepočítá do učení delty;
+po pv_curtailment_policy_effective_from sloty s curtailment / gen cutoff / cutoff_switch_log (export off) mají NULL actual a jsou vyloučeny z učení.
 Volat každých 15 minut (spolu s audit_filler) pro inkrementální plnění.
 p_lookback_hours: kolik hodin zpět zpracovat (default 48h pro catch-up).
 Pro první backfill: SELECT ems.fn_fill_forecast_accuracy(2, 8760) -- 1 rok';