Bilan : la nuit prevue suit la soiree reelle (regression sur 24 nuits), nuage Grafana corrige
Le service publie le facteur nuit prevue / nuit moyenne (sensor.evcs_nuit_maison_prevue_kwh), le bilan l'applique a son profil de 21:30 a 09:00. Diagnostics 81/81, bilan 68/68. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011uJ47NxgfpGnuuMr3f2n7Z
This commit is contained in:
Tallagrand Thierry
@@ -667,40 +667,7 @@
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"format": "table",
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"rawQuery": true,
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"editorMode": "code",
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"rawSql": "WITH pts AS (\n SELECT cle, ts, valeur,\n least(coalesce(lead(ts) OVER (PARTITION BY cle ORDER BY ts), now()), ts + interval '1 hour') AS fin\n FROM mesure\n WHERE cle IN ('sensor.victron_consumption_power_l1', 'sensor.victron_evcs_ac_power',\n 'sensor.victron_grid_power_l1', 'sensor.victron_pv_power_system')\n AND ts > now() - interval '40 days'\n),\njours AS (\n SELECT d::date AS j,\n (d::date + time '18:00') AT TIME ZONE 'Europe/Paris' AS s0,\n (d::date + time '21:30') AT TIME ZONE 'Europe/Paris' AS n0,\n (d::date + 1 + time '01:24') AT TIME ZONE 'Europe/Paris' AS hc,\n (d::date + 1 + time '09:00') AT TIME ZONE 'Europe/Paris' AS n1\n FROM generate_series(current_date - 35, current_date, interval '1 day') d\n),\ne AS (\n SELECT j.j,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.s0 AND p.ts < j.n0) AS c_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.s0 AND p.ts < j.n0) AS v_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.hc) AS c_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.hc) AS v_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS c_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.n1) AS v_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_grid_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS r_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_pv_power_system' AND p.fin > j.n0 AND p.ts < j.n1) AS pv_nuit\n FROM jours j JOIN pts p ON p.fin > j.s0 AND p.ts < j.n1\n GROUP BY j.j\n),\nnuits AS (\n SELECT j.j, j.n0, j.n1,\n round(((coalesce(c_soir,0) - coalesce(v_soir,0)) / 3.6e6)::numeric, 2) AS soiree_kwh,\n round(((coalesce(c_hc,0) - coalesce(v_hc,0)) / 3.6e6)::numeric, 2) AS maison_hc_kwh,\n round(((coalesce(c_nuit,0) - coalesce(v_nuit,0)) / 3.6e6)::numeric, 2) AS maison_nuit_kwh,\n round((coalesce(v_nuit,0) / 3.6e6)::numeric, 2) AS voiture_kwh,\n round((coalesce(r_nuit,0) / 3.6e6)::numeric, 2) AS reseau_kwh,\n round((coalesce(pv_nuit,0) / 3.6e6)::numeric, 2) AS pv_avant_9h_kwh,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n0 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_2130,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.hc AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_0124,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n1 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_9h\n FROM jours j JOIN e ON e.j = j.j\n WHERE j.n1 <= now() AND j.j >= date '2026-09-04'\n)\nSELECT soiree_kwh AS \"Soiree\", maison_nuit_kwh AS \"Nuit sans voiture\" FROM nuits WHERE voiture_kwh < 0.5 ORDER BY 1"
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},
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{
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"refId": "B",
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"datasource": {
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"type": "grafana-postgresql-datasource",
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"uid": "evcs-pg"
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},
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"format": "table",
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"rawQuery": true,
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"editorMode": "code",
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"rawSql": "WITH pts AS (\n SELECT cle, ts, valeur,\n least(coalesce(lead(ts) OVER (PARTITION BY cle ORDER BY ts), now()), ts + interval '1 hour') AS fin\n FROM mesure\n WHERE cle IN ('sensor.victron_consumption_power_l1', 'sensor.victron_evcs_ac_power',\n 'sensor.victron_grid_power_l1', 'sensor.victron_pv_power_system')\n AND ts > now() - interval '40 days'\n),\njours AS (\n SELECT d::date AS j,\n (d::date + time '18:00') AT TIME ZONE 'Europe/Paris' AS s0,\n (d::date + time '21:30') AT TIME ZONE 'Europe/Paris' AS n0,\n (d::date + 1 + time '01:24') AT TIME ZONE 'Europe/Paris' AS hc,\n (d::date + 1 + time '09:00') AT TIME ZONE 'Europe/Paris' AS n1\n FROM generate_series(current_date - 35, current_date, interval '1 day') d\n),\ne AS (\n SELECT j.j,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.s0 AND p.ts < j.n0) AS c_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.s0 AND p.ts < j.n0) AS v_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.hc) AS c_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.hc) AS v_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS c_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.n1) AS v_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_grid_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS r_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_pv_power_system' AND p.fin > j.n0 AND p.ts < j.n1) AS pv_nuit\n FROM jours j JOIN pts p ON p.fin > j.s0 AND p.ts < j.n1\n GROUP BY j.j\n),\nnuits AS (\n SELECT j.j, j.n0, j.n1,\n round(((coalesce(c_soir,0) - coalesce(v_soir,0)) / 3.6e6)::numeric, 2) AS soiree_kwh,\n round(((coalesce(c_hc,0) - coalesce(v_hc,0)) / 3.6e6)::numeric, 2) AS maison_hc_kwh,\n round(((coalesce(c_nuit,0) - coalesce(v_nuit,0)) / 3.6e6)::numeric, 2) AS maison_nuit_kwh,\n round((coalesce(v_nuit,0) / 3.6e6)::numeric, 2) AS voiture_kwh,\n round((coalesce(r_nuit,0) / 3.6e6)::numeric, 2) AS reseau_kwh,\n round((coalesce(pv_nuit,0) / 3.6e6)::numeric, 2) AS pv_avant_9h_kwh,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n0 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_2130,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.hc AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_0124,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n1 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_9h\n FROM jours j JOIN e ON e.j = j.j\n WHERE j.n1 <= now() AND j.j >= date '2026-09-04'\n)\nSELECT soiree_kwh AS \"Soiree\", maison_nuit_kwh AS \"Nuit avec voiture\" FROM nuits WHERE voiture_kwh >= 0.5 ORDER BY 1"
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},
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{
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"refId": "C",
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"datasource": {
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"type": "grafana-postgresql-datasource",
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"uid": "evcs-pg"
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},
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"format": "table",
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"rawQuery": true,
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"editorMode": "code",
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"rawSql": "WITH pts AS (\n SELECT cle, ts, valeur,\n least(coalesce(lead(ts) OVER (PARTITION BY cle ORDER BY ts), now()), ts + interval '1 hour') AS fin\n FROM mesure\n WHERE cle IN ('sensor.victron_consumption_power_l1', 'sensor.victron_evcs_ac_power',\n 'sensor.victron_grid_power_l1', 'sensor.victron_pv_power_system')\n AND ts > now() - interval '40 days'\n),\njours AS (\n SELECT d::date AS j,\n (d::date + time '18:00') AT TIME ZONE 'Europe/Paris' AS s0,\n (d::date + time '21:30') AT TIME ZONE 'Europe/Paris' AS n0,\n (d::date + 1 + time '01:24') AT TIME ZONE 'Europe/Paris' AS hc,\n (d::date + 1 + time '09:00') AT TIME ZONE 'Europe/Paris' AS n1\n FROM generate_series(current_date - 35, current_date, interval '1 day') d\n),\ne AS (\n SELECT j.j,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.s0 AND p.ts < j.n0) AS c_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.s0 AND p.ts < j.n0) AS v_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.hc) AS c_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.hc) AS v_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS c_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.n1) AS v_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_grid_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS r_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_pv_power_system' AND p.fin > j.n0 AND p.ts < j.n1) AS pv_nuit\n FROM jours j JOIN pts p ON p.fin > j.s0 AND p.ts < j.n1\n GROUP BY j.j\n),\nnuits AS (\n SELECT j.j, j.n0, j.n1,\n round(((coalesce(c_soir,0) - coalesce(v_soir,0)) / 3.6e6)::numeric, 2) AS soiree_kwh,\n round(((coalesce(c_hc,0) - coalesce(v_hc,0)) / 3.6e6)::numeric, 2) AS maison_hc_kwh,\n round(((coalesce(c_nuit,0) - coalesce(v_nuit,0)) / 3.6e6)::numeric, 2) AS maison_nuit_kwh,\n round((coalesce(v_nuit,0) / 3.6e6)::numeric, 2) AS voiture_kwh,\n round((coalesce(r_nuit,0) / 3.6e6)::numeric, 2) AS reseau_kwh,\n round((coalesce(pv_nuit,0) / 3.6e6)::numeric, 2) AS pv_avant_9h_kwh,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n0 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_2130,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.hc AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_0124,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n1 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_9h\n FROM jours j JOIN e ON e.j = j.j\n WHERE j.n1 <= now() AND j.j >= date '2026-09-04'\n)\n\nSELECT v.x AS \"Soiree\", round((r.a + r.b * v.x)::numeric, 2) AS \"Regression\"\n FROM (SELECT regr_intercept(maison_nuit_kwh, soiree_kwh) AS a, regr_slope(maison_nuit_kwh, soiree_kwh) AS b,\n min(soiree_kwh) AS lo, max(soiree_kwh) AS hi FROM nuits) r,\n LATERAL (VALUES (r.lo), (r.hi)) v(x)\n ORDER BY 1"
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},
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{
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"refId": "D",
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"datasource": {
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"type": "grafana-postgresql-datasource",
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"uid": "evcs-pg"
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},
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"format": "table",
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"rawQuery": true,
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"editorMode": "code",
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"rawSql": "WITH pts AS (\n SELECT cle, ts, valeur,\n least(coalesce(lead(ts) OVER (PARTITION BY cle ORDER BY ts), now()), ts + interval '1 hour') AS fin\n FROM mesure\n WHERE cle IN ('sensor.victron_consumption_power_l1', 'sensor.victron_evcs_ac_power',\n 'sensor.victron_grid_power_l1', 'sensor.victron_pv_power_system')\n AND ts > now() - interval '40 days'\n),\njours AS (\n SELECT d::date AS j,\n (d::date + time '18:00') AT TIME ZONE 'Europe/Paris' AS s0,\n (d::date + time '21:30') AT TIME ZONE 'Europe/Paris' AS n0,\n (d::date + 1 + time '01:24') AT TIME ZONE 'Europe/Paris' AS hc,\n (d::date + 1 + time '09:00') AT TIME ZONE 'Europe/Paris' AS n1\n FROM generate_series(current_date - 35, current_date, interval '1 day') d\n),\ne AS (\n SELECT j.j,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.s0 AND p.ts < j.n0) AS c_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.s0 AND p.ts < j.n0) AS v_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.hc) AS c_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.hc) AS v_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS c_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.n1) AS v_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_grid_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS r_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_pv_power_system' AND p.fin > j.n0 AND p.ts < j.n1) AS pv_nuit\n FROM jours j JOIN pts p ON p.fin > j.s0 AND p.ts < j.n1\n GROUP BY j.j\n),\nnuits AS (\n SELECT j.j, j.n0, j.n1,\n round(((coalesce(c_soir,0) - coalesce(v_soir,0)) / 3.6e6)::numeric, 2) AS soiree_kwh,\n round(((coalesce(c_hc,0) - coalesce(v_hc,0)) / 3.6e6)::numeric, 2) AS maison_hc_kwh,\n round(((coalesce(c_nuit,0) - coalesce(v_nuit,0)) / 3.6e6)::numeric, 2) AS maison_nuit_kwh,\n round((coalesce(v_nuit,0) / 3.6e6)::numeric, 2) AS voiture_kwh,\n round((coalesce(r_nuit,0) / 3.6e6)::numeric, 2) AS reseau_kwh,\n round((coalesce(pv_nuit,0) / 3.6e6)::numeric, 2) AS pv_avant_9h_kwh,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n0 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_2130,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.hc AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_0124,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n1 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_9h\n FROM jours j JOIN e ON e.j = j.j\n WHERE j.n1 <= now() AND j.j >= date '2026-09-04'\n),\nf AS (\n SELECT ((CASE WHEN (now() AT TIME ZONE 'Europe/Paris')::time >= time '18:00'\n THEN (now() AT TIME ZONE 'Europe/Paris')::date\n ELSE (now() AT TIME ZONE 'Europe/Paris')::date - 1 END) + time '18:00')\n AT TIME ZONE 'Europe/Paris' AS s0\n),\nsoir AS (\n SELECT sum(p.valeur * extract(epoch FROM least(p.fin, f.s0 + interval '3 hours 30 minutes', now()) - greatest(p.ts, f.s0))\n * CASE WHEN p.cle = 'sensor.victron_evcs_ac_power' THEN -1\n WHEN p.cle = 'sensor.victron_consumption_power_l1' THEN 1 ELSE 0 END) / 3.6e6 AS kwh\n FROM pts p, f\n WHERE p.fin > f.s0 AND p.ts < least(f.s0 + interval '3 hours 30 minutes', now())\n)\nSELECT round(s.kwh::numeric, 2) AS \"Soiree\",\n round((regr_intercept(maison_nuit_kwh, soiree_kwh) + regr_slope(maison_nuit_kwh, soiree_kwh) * s.kwh)::numeric, 2) AS \"Ce soir (prevu)\"\n FROM nuits, soir s GROUP BY s.kwh"
|
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"rawSql": "WITH pts AS (\n SELECT cle, ts, valeur,\n least(coalesce(lead(ts) OVER (PARTITION BY cle ORDER BY ts), now()), ts + interval '1 hour') AS fin\n FROM mesure\n WHERE cle IN ('sensor.victron_consumption_power_l1', 'sensor.victron_evcs_ac_power',\n 'sensor.victron_grid_power_l1', 'sensor.victron_pv_power_system')\n AND ts > now() - interval '40 days'\n),\njours AS (\n SELECT d::date AS j,\n (d::date + time '18:00') AT TIME ZONE 'Europe/Paris' AS s0,\n (d::date + time '21:30') AT TIME ZONE 'Europe/Paris' AS n0,\n (d::date + 1 + time '01:24') AT TIME ZONE 'Europe/Paris' AS hc,\n (d::date + 1 + time '09:00') AT TIME ZONE 'Europe/Paris' AS n1\n FROM generate_series(current_date - 35, current_date, interval '1 day') d\n),\ne AS (\n SELECT j.j,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.s0 AND p.ts < j.n0) AS c_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.s0 AND p.ts < j.n0) AS v_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.hc) AS c_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.hc) AS v_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS c_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.n1) AS v_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_grid_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS r_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_pv_power_system' AND p.fin > j.n0 AND p.ts < j.n1) AS pv_nuit\n FROM jours j JOIN pts p ON p.fin > j.s0 AND p.ts < j.n1\n GROUP BY j.j\n),\nnuits AS (\n SELECT j.j, j.n0, j.n1,\n round(((coalesce(c_soir,0) - coalesce(v_soir,0)) / 3.6e6)::numeric, 2) AS soiree_kwh,\n round(((coalesce(c_hc,0) - coalesce(v_hc,0)) / 3.6e6)::numeric, 2) AS maison_hc_kwh,\n round(((coalesce(c_nuit,0) - coalesce(v_nuit,0)) / 3.6e6)::numeric, 2) AS maison_nuit_kwh,\n round((coalesce(v_nuit,0) / 3.6e6)::numeric, 2) AS voiture_kwh,\n round((coalesce(r_nuit,0) / 3.6e6)::numeric, 2) AS reseau_kwh,\n round((coalesce(pv_nuit,0) / 3.6e6)::numeric, 2) AS pv_avant_9h_kwh,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n0 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_2130,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.hc AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_0124,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n1 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_9h\n FROM jours j JOIN e ON e.j = j.j\n WHERE j.n1 <= now() AND j.j >= date '2026-09-04'\n),\nf AS (\n SELECT ((CASE WHEN (now() AT TIME ZONE 'Europe/Paris')::time >= time '18:00'\n THEN (now() AT TIME ZONE 'Europe/Paris')::date\n ELSE (now() AT TIME ZONE 'Europe/Paris')::date - 1 END) + time '18:00')\n AT TIME ZONE 'Europe/Paris' AS s0\n),\nsoir AS (\n SELECT sum(p.valeur * extract(epoch FROM least(p.fin, f.s0 + interval '3 hours 30 minutes', now()) - greatest(p.ts, f.s0))\n * CASE WHEN p.cle = 'sensor.victron_evcs_ac_power' THEN -1\n WHEN p.cle = 'sensor.victron_consumption_power_l1' THEN 1 ELSE 0 END) / 3.6e6 AS kwh\n FROM pts p, f\n WHERE p.fin > f.s0 AND p.ts < least(f.s0 + interval '3 hours 30 minutes', now())\n),\nr AS (SELECT regr_intercept(maison_nuit_kwh, soiree_kwh) AS a, regr_slope(maison_nuit_kwh, soiree_kwh) AS b FROM nuits)\nSELECT soiree_kwh::float8 AS \"Soiree\",\n CASE WHEN voiture_kwh < 0.5 THEN maison_nuit_kwh END::float8 AS \"Nuit sans voiture\",\n CASE WHEN voiture_kwh >= 0.5 THEN maison_nuit_kwh END::float8 AS \"Nuit avec voiture\",\n round((r.a + r.b * soiree_kwh)::numeric, 2)::float8 AS \"Regression\",\n NULL::float8 AS \"Ce soir (prevu)\"\n FROM nuits, r\nUNION ALL\nSELECT round(s.kwh::numeric, 2)::float8, NULL, NULL, round((r.a + r.b * s.kwh)::numeric, 2)::float8,\n round((r.a + r.b * s.kwh)::numeric, 2)::float8\n FROM soir s, r\nORDER BY 1"
|
||||
}
|
||||
],
|
||||
"fieldConfig": {
|
||||
@@ -793,88 +760,9 @@
|
||||
]
|
||||
},
|
||||
"options": {
|
||||
"mapping": "manual",
|
||||
"mapping": "auto",
|
||||
"series": [
|
||||
{
|
||||
"frame": {
|
||||
"matcher": {
|
||||
"id": "byIndex",
|
||||
"options": 0
|
||||
}
|
||||
},
|
||||
"x": {
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Soiree"
|
||||
}
|
||||
},
|
||||
"y": {
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Nuit sans voiture"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"frame": {
|
||||
"matcher": {
|
||||
"id": "byIndex",
|
||||
"options": 1
|
||||
}
|
||||
},
|
||||
"x": {
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Soiree"
|
||||
}
|
||||
},
|
||||
"y": {
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Nuit avec voiture"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"frame": {
|
||||
"matcher": {
|
||||
"id": "byIndex",
|
||||
"options": 2
|
||||
}
|
||||
},
|
||||
"x": {
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Soiree"
|
||||
}
|
||||
},
|
||||
"y": {
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Regression"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"frame": {
|
||||
"matcher": {
|
||||
"id": "byIndex",
|
||||
"options": 3
|
||||
}
|
||||
},
|
||||
"x": {
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Soiree"
|
||||
}
|
||||
},
|
||||
"y": {
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Ce soir (prevu)"
|
||||
}
|
||||
}
|
||||
}
|
||||
{}
|
||||
],
|
||||
"legend": {
|
||||
"showLegend": true,
|
||||
|
||||
Reference in New Issue
Block a user