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EVCS/deploy/historisation/grafana/dashboards/journee.json
Tallagrand Thierry 1541ccf7b4 La prevision entre dans « La journee » et sur le telephone 
Suite du correctif de l onglet Home Assistant. « La journee » avait le meme
angle mort : cadre sur le jour civil, il s arretait a l heure en cours.

Fenetre portee a la journee ENTIERE (dashboard() gagne un parametre `jusqu`),
serie « Encore attendu » en gris translucide a la suite des barres mesurees,
et colonne « Reste attendu » dans le bandeau du haut, a cote de « Solaire
produit ».

Sur le telephone, aucun panneau ajoute — un panneau de plus y est un ecran de
plus a faire defiler. « Soleil restant » rejoint le bandeau Maintenant, a cote
de Excedent ; « Soleil demain » rejoint La nuit qui vient, puisque c est lui
qui decide jusqu ou la batterie peut descendre.

Trois pieges, tous dans la meme direction. La mesure ne doit pas suivre la
fenetre dans le futur : ENERGIE_SQL construisait son axe entre les deux macros
puis reportait la derniere valeur connue, ce qui aurait rempli les heures a
venir avec la puissance de l instant et gonfle l energie du jour — sa borne
haute est desormais least($__timeTo(), now()). FULL OUTER JOIN et non LEFT :
une periode a venir n a aucune ligne de mesure. Et borne haute stricte, sans
quoi une barre « 18/09 00 h » apparaissait dans La journee.

L heure EN COURS n a volontairement pas de barre de prevision : elle est deja
mesuree pour ses minutes ecoulees.

73/73 requetes valides — mais ce controle prouve l execution, pas la grandeur.
Les deux requetes de La journee ont donc ete rejouees a la main avec la vraie
fenetre : 24 lignes, mesures jusqu a 02 h, prevision de 03 h a 23 h, somme des
barres 36,95 kWh contre 37,0 annonces par le bandeau. C est ce recoupement qui
a fait apparaitre le troisieme piege.

Corrige au passage la note du 08/09 sur l acces a l API Grafana : les
apostrophes du .env sont SIMPLES et non doubles, verifie a l octet.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01GwpFpy2aQ2rJok6tNQSbVj
2026-09-17 02:37:43 +02:00

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{
"templating": {
"list": []
},
"uid": "evcs-journee",
"title": "La journee",
"description": "Le bilan de la journee en cours, de minuit a maintenant : ce qui a ete produit, ce qui a ete consomme, ce qui a ete achete, et ou c'est alle. Les energies sont integrees depuis les puissances mesurees.",
"tags": [
"evcs"
],
"timezone": "Europe/Paris",
"editable": true,
"schemaVersion": 39,
"version": 1,
"refresh": "1m",
"time": {
"from": "now/d",
"to": "now/d"
},
"timepicker": {
"refresh_intervals": [
"30s",
"1m",
"5m",
"15m",
"1h"
]
},
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": {
"type": "grafana",
"uid": "-- Grafana --"
},
"enable": true,
"hide": true,
"name": "Annotations & Alerts",
"iconColor": "rgba(0, 211, 255, 1)",
"type": "dashboard"
},
{
"name": "Evenements",
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "evcs-pg"
},
"enable": false,
"iconColor": "semi-dark-orange",
"hide": false,
"target": {
"format": "table",
"rawQuery": true,
"editorMode": "code",
"rawSql": "SELECT ts AS time, resume AS text, genre || ',' || coalesce(source,'?') AS tags FROM evenement WHERE $__timeFilter(ts) AND genre <> 'bilan' ORDER BY 1"
}
}
]
},
"panels": [
{
"type": "table",
"title": "Le bilan depuis minuit",
"description": "Une ligne d'en-tetes, une ligne de valeurs. L'autonomie est la part de la consommation de la maison qui n'est PAS venue du reseau. « Batterie rendue » est ce qu'elle a restitue, donc du solaire differe et non une consommation supplementaire. « Reste attendu » est la seule colonne qui ne soit pas une mesure : c'est ce que la derniere prevision annonce pour les heures qui restent.",
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "evcs-pg"
},
"targets": [
{
"refId": "A",
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "evcs-pg"
},
"format": "table",
"rawQuery": true,
"editorMode": "code",
"rawSql": "WITH bornes AS (\n SELECT min(ts) AS d, max(ts) AS f FROM mesure WHERE $__timeFilter(ts)\n),\naxe AS (\n SELECT generate_series(date_trunc('minute', (SELECT d FROM bornes)),\n date_trunc('minute', (SELECT f FROM bornes)),\n interval '1 minute') AS t\n),\nreleve AS (\n SELECT date_trunc('minute', ts) AS t,\n avg(valeur) FILTER (WHERE cle = 'sensor.victron_pv_power_system') AS pv,\n (array_agg(valeur ORDER BY ts DESC) FILTER (WHERE cle = 'sensor.victron_pv_power_system'))[1] AS d_pv,\n avg(valeur) FILTER (WHERE cle = 'sensor.victron_consumption_power_l1') AS maison,\n (array_agg(valeur ORDER BY ts DESC) FILTER (WHERE cle = 'sensor.victron_consumption_power_l1'))[1] AS d_maison,\n avg(valeur) FILTER (WHERE cle = 'sensor.victron_grid_power_l1') AS reseau,\n (array_agg(valeur ORDER BY ts DESC) FILTER (WHERE cle = 'sensor.victron_grid_power_l1'))[1] AS d_reseau,\n avg(valeur) FILTER (WHERE cle = 'sensor.victron_evcs_ac_power') AS voiture,\n (array_agg(valeur ORDER BY ts DESC) FILTER (WHERE cle = 'sensor.victron_evcs_ac_power'))[1] AS d_voiture,\n avg(valeur) FILTER (WHERE cle = 'sensor.victron_battery_power') AS batterie,\n (array_agg(valeur ORDER BY ts DESC) FILTER (WHERE cle = 'sensor.victron_battery_power'))[1] AS d_batterie\n FROM mesure WHERE $__timeFilter(ts) GROUP BY 1\n),\npar_minute AS (\n SELECT axe.t, releve.pv, releve.d_pv, releve.maison, releve.d_maison, releve.reseau, releve.d_reseau, releve.voiture, releve.d_voiture, releve.batterie, releve.d_batterie\n FROM axe LEFT JOIN releve USING (t)\n),\npaliers AS (\n SELECT t, pv, d_pv, maison, d_maison, reseau, d_reseau, voiture, d_voiture, batterie, d_batterie,\n count(d_pv) OVER (ORDER BY t) AS g_pv,\n count(d_maison) OVER (ORDER BY t) AS g_maison,\n count(d_reseau) OVER (ORDER BY t) AS g_reseau,\n count(d_voiture) OVER (ORDER BY t) AS g_voiture,\n count(d_batterie) OVER (ORDER BY t) AS g_batterie\n FROM par_minute\n),\nreport AS (\n SELECT t,\n coalesce(pv, first_value(d_pv) OVER (PARTITION BY g_pv ORDER BY t), 0) AS pv,\n coalesce(maison, first_value(d_maison) OVER (PARTITION BY g_maison ORDER BY t), 0) AS maison,\n coalesce(reseau, first_value(d_reseau) OVER (PARTITION BY g_reseau ORDER BY t), 0) AS reseau,\n coalesce(voiture, first_value(d_voiture) OVER (PARTITION BY g_voiture ORDER BY t), 0) AS voiture,\n coalesce(batterie, first_value(d_batterie) OVER (PARTITION BY g_batterie ORDER BY t), 0) AS batterie\n FROM paliers\n)\nSELECT\n round((sum(pv) / 60.0 / 1000.0)::numeric, 1) AS \"Solaire produit\",\n round((sum(maison) / 60.0 / 1000.0)::numeric, 1) AS \"Maison consommee\",\n round((sum(reseau) / 60.0 / 1000.0)::numeric, 1) AS \"Reseau importe\",\n round((sum(voiture) / 60.0 / 1000.0)::numeric, 1) AS \"Voiture\",\n round((sum(greatest(batterie, 0)) / 60.0 / 1000.0)::numeric, 1) AS \"Batterie chargee\",\n round((sum(greatest(-batterie, 0)) / 60.0 / 1000.0)::numeric, 1) AS \"Batterie rendue\",\n round((100.0 * greatest(sum(maison) - sum(reseau), 0)\n / nullif(sum(maison), 0))::numeric, 0) AS \"Autonomie\",\n -- Ce qui reste a venir aujourd'hui, a cote de ce qui est deja fait. Sous-\n -- requete independante de `report` : elle ne touche a aucun total mesure.\n (SELECT round(coalesce(sum(kwh), 0)::numeric, 1)\n FROM (\n SELECT (c.jour + (u.i - 1) * interval '1 hour') AT TIME ZONE 'Europe/Paris' AS heure,\n u.v AS kwh\n FROM (SELECT DISTINCT ON (jour) jour, horaire FROM prevision\n WHERE jour >= current_date ORDER BY jour, publie_a DESC) c,\n unnest(c.horaire) WITH ORDINALITY AS u(v, i)\n WHERE (c.jour + (u.i - 1) * interval '1 hour') AT TIME ZONE 'Europe/Paris'\n > date_trunc('hour', now())\n) p\n WHERE p.heure < date_trunc('day', now()) + interval '1 day') AS \"Reste attendu\"\nFROM report GROUP BY (1 = 1)"
}
],
"gridPos": {
"x": 0,
"y": 0,
"w": 24,
"h": 4
},
"fieldConfig": {
"defaults": {
"custom": {
"align": "left",
"cellOptions": {
"type": "auto"
},
"filterable": true
}
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "Solaire produit"
},
"properties": [
{
"id": "unit",
"value": "kwatth"
},
{
"id": "decimals",
"value": 1
}
]
},
{
"matcher": {
"id": "byName",
"options": "Maison consommee"
},
"properties": [
{
"id": "unit",
"value": "kwatth"
},
{
"id": "decimals",
"value": 1
}
]
},
{
"matcher": {
"id": "byName",
"options": "Voiture"
},
"properties": [
{
"id": "unit",
"value": "kwatth"
},
{
"id": "decimals",
"value": 1
}
]
},
{
"matcher": {
"id": "byName",
"options": "Batterie chargee"
},
"properties": [
{
"id": "unit",
"value": "kwatth"
},
{
"id": "decimals",
"value": 1
}
]
},
{
"matcher": {
"id": "byName",
"options": "Batterie rendue"
},
"properties": [
{
"id": "unit",
"value": "kwatth"
},
{
"id": "decimals",
"value": 1
}
]
},
{
"matcher": {
"id": "byName",
"options": "Reseau importe"
},
"properties": [
{
"id": "unit",
"value": "kwatth"
},
{
"id": "decimals",
"value": 1
},
{
"id": "custom.cellOptions",
"value": {
"type": "color-text"
}
},
{
"id": "thresholds",
"value": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "#EAB839",
"value": 3
},
{
"color": "orange",
"value": 8
}
]
}
}
]
},
{
"matcher": {
"id": "byName",
"options": "Reste attendu"
},
"properties": [
{
"id": "unit",
"value": "kwatth"
},
{
"id": "decimals",
"value": 1
},
{
"id": "custom.cellOptions",
"value": {
"type": "color-text"
}
},
{
"id": "color",
"value": {
"mode": "fixed",
"fixedColor": "#9e9e9e"
}
}
]
},
{
"matcher": {
"id": "byName",
"options": "Autonomie"
},
"properties": [
{
"id": "unit",
"value": "percent"
},
{
"id": "decimals",
"value": 0
},
{
"id": "custom.cellOptions",
"value": {
"type": "color-background"
}
},
{
"id": "thresholds",
"value": {
"mode": "absolute",
"steps": [
{
"color": "red",
"value": null
},
{
"color": "#EAB839",
"value": 60
},
{
"color": "green",
"value": 85
}
]
}
}
]
}
]
},
"options": {
"showHeader": true,
"cellHeight": "sm",
"footer": {
"show": false
}
}
},
{
"type": "barchart",
"title": "Energie heure par heure",
"description": "La forme de la journee : quand le solaire a couvert la maison, quand il a fallu acheter — et, a la suite des barres mesurees, ce que la derniere prevision annonce pour les heures qui restent. L'heure EN COURS n'a pas de barre de prevision : elle est deja mesuree pour ses minutes ecoulees.",
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "evcs-pg"
},
"targets": [
{
"refId": "A",
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "evcs-pg"
},
"format": "table",
"rawQuery": true,
"editorMode": "code",
"rawSql": "WITH bornes AS (\n -- ⚠️ LA MESURE NE PEUT PAS DEPASSER MAINTENANT. « La journee » s'etend\n -- desormais jusqu'a la fin du jour pour montrer la prevision ; sans ce\n -- garde-fou, le report de la derniere valeur connue (plus bas) remplirait les\n -- heures a venir avec la puissance de l'instant et gonflerait l'energie.\n SELECT $__timeFrom()::timestamptz AS d,\n least($__timeTo()::timestamptz, now()) AS f\n),\n-- Le pas s'adapte a la plage choisie. Sans cela, « 30 derniers jours » rend\n-- 720 barres illisibles — c'est exactement ce que fait VRM en passant de\n-- l'heure au jour puis au mois.\npas AS (\n SELECT CASE WHEN f - d > interval '70 days' THEN 'month'\n WHEN f - d > interval '4 days' THEN 'day'\n ELSE 'hour' END AS unite,\n CASE WHEN f - d > interval '70 days' THEN 'MM/YYYY'\n WHEN f - d > interval '4 days' THEN 'DD/MM'\n ELSE 'DD/MM HH24' END AS forme\n FROM bornes\n),\naxe AS (\n SELECT generate_series(date_trunc('minute', (SELECT d FROM bornes)),\n date_trunc('minute', (SELECT f FROM bornes)),\n interval '1 minute') AS t\n),\nreleve AS (\n SELECT date_trunc('minute', ts) AS t,\n avg(valeur) FILTER (WHERE cle = 'sensor.victron_pv_power_system') AS Solaire,\n (array_agg(valeur ORDER BY ts DESC) FILTER (WHERE cle = 'sensor.victron_pv_power_system'))[1] AS d_Solaire,\n avg(valeur) FILTER (WHERE cle = 'sensor.victron_grid_power_l1') AS Reseau,\n (array_agg(valeur ORDER BY ts DESC) FILTER (WHERE cle = 'sensor.victron_grid_power_l1'))[1] AS d_Reseau,\n avg(valeur) FILTER (WHERE cle = 'sensor.victron_consumption_power_l1') AS Maison,\n (array_agg(valeur ORDER BY ts DESC) FILTER (WHERE cle = 'sensor.victron_consumption_power_l1'))[1] AS d_Maison,\n avg(valeur) FILTER (WHERE cle = 'sensor.victron_evcs_ac_power') AS Voiture,\n (array_agg(valeur ORDER BY ts DESC) FILTER (WHERE cle = 'sensor.victron_evcs_ac_power'))[1] AS d_Voiture\n FROM mesure WHERE $__timeFilter(ts) GROUP BY 1\n),\npar_minute AS (\n SELECT axe.t, releve.Solaire, releve.d_Solaire, releve.Reseau, releve.d_Reseau, releve.Maison, releve.d_Maison, releve.Voiture, releve.d_Voiture\n FROM axe LEFT JOIN releve USING (t)\n),\npaliers AS (\n SELECT t, Solaire, d_Solaire, Reseau, d_Reseau, Maison, d_Maison, Voiture, d_Voiture,\n count(d_Solaire) OVER (ORDER BY t) AS g_Solaire,\n count(d_Reseau) OVER (ORDER BY t) AS g_Reseau,\n count(d_Maison) OVER (ORDER BY t) AS g_Maison,\n count(d_Voiture) OVER (ORDER BY t) AS g_Voiture\n FROM par_minute\n),\nreport AS (\n SELECT t,\n coalesce(Solaire, first_value(d_Solaire) OVER (PARTITION BY g_Solaire ORDER BY t)) AS Solaire,\n coalesce(Reseau, first_value(d_Reseau) OVER (PARTITION BY g_Reseau ORDER BY t)) AS Reseau,\n coalesce(Maison, first_value(d_Maison) OVER (PARTITION BY g_Maison ORDER BY t)) AS Maison,\n coalesce(Voiture, first_value(d_Voiture) OVER (PARTITION BY g_Voiture ORDER BY t)) AS Voiture\n FROM paliers\n),\nmesure_par_periode AS (\n SELECT date_trunc(pas.unite, t) AS b,\n round((avg(Solaire) * count(Solaire) / 60.0 / 1000.0)::numeric, 2) AS \"Solaire\",\n round((avg(Reseau) * count(Reseau) / 60.0 / 1000.0)::numeric, 2) AS \"Reseau\",\n round((avg(Maison) * count(Maison) / 60.0 / 1000.0)::numeric, 2) AS \"Maison\",\n round((avg(Voiture) * count(Voiture) / 60.0 / 1000.0)::numeric, 2) AS \"Voiture\"\n FROM report, pas\n GROUP BY date_trunc(pas.unite, t)\n HAVING count(Solaire) > 0 OR count(Reseau) > 0 OR count(Maison) > 0 OR count(Voiture) > 0\n)\n\n, a_venir AS (\n SELECT date_trunc((SELECT unite FROM pas), p.heure) AS b,\n sum(p.kwh) AS kwh\n FROM (\n SELECT (c.jour + (u.i - 1) * interval '1 hour') AT TIME ZONE 'Europe/Paris' AS heure,\n u.v AS kwh\n FROM (SELECT DISTINCT ON (jour) jour, horaire FROM prevision\n WHERE jour >= current_date ORDER BY jour, publie_a DESC) c,\n unnest(c.horaire) WITH ORDINALITY AS u(v, i)\n WHERE (c.jour + (u.i - 1) * interval '1 hour') AT TIME ZONE 'Europe/Paris'\n > date_trunc('hour', now())\n) p\n WHERE p.heure >= (SELECT d FROM bornes)\n -- Borne STRICTE : une periode qui commence pile a la fin de la fenetre\n -- appartient a la suivante. Sans cela, « La journee » affiche une barre\n -- de demain 00 h.\n AND p.heure < $__timeTo()::timestamptz\n GROUP BY 1\n)\n-- FULL OUTER : une periode a venir n'a AUCUNE ligne de mesure, une periode\n-- passee n'a aucune prevision. Ni l'une ni l'autre ne doit disparaitre.\nSELECT to_char(coalesce(m.b, a.b), (SELECT forme FROM pas)) AS \"Heure\",\n m.\"Solaire\",\n m.\"Reseau\",\n m.\"Maison\",\n m.\"Voiture\",\n round(a.kwh::numeric, 2) AS \"Encore attendu\"\nFROM mesure_par_periode m FULL OUTER JOIN a_venir a ON a.b = m.b\nORDER BY coalesce(m.b, a.b)"
}
],
"gridPos": {
"x": 0,
"y": 5,
"w": 24,
"h": 9
},
"fieldConfig": {
"defaults": {
"unit": "kwatth",
"color": {
"mode": "palette-classic"
},
"custom": {
"lineWidth": 1,
"fillOpacity": 80,
"gradientMode": "none",
"axisBorderShow": false
}
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "Encore attendu"
},
"properties": [
{
"id": "color",
"value": {
"mode": "fixed",
"fixedColor": "#9e9e9e"
}
},
{
"id": "custom.fillOpacity",
"value": 35
}
]
}
]
},
"options": {
"orientation": "auto",
"xTickLabelRotation": -45,
"showValue": "never",
"stacking": "none",
"groupWidth": 0.7,
"barWidth": 0.9,
"legend": {
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
}
},
{
"type": "timeseries",
"title": "Les flux de la journee",
"description": "Les cinq puissances sur le meme axe. La batterie est signee : au-dessus de zero elle se remplit, en dessous elle porte la maison. Quand « Reseau » decolle alors que la production est forte, c'est une fermeture du contacteur qu'il faut expliquer.",
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "evcs-pg"
},
"targets": [
{
"refId": "A",
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "evcs-pg"
},
"format": "time_series",
"rawQuery": true,
"editorMode": "code",
"rawSql": "WITH bornes AS (\n SELECT min(ts) AS d, max(ts) AS f FROM mesure WHERE $__timeFilter(ts)\n),\naxe AS (\n SELECT generate_series(date_trunc('minute', (SELECT d FROM bornes)),\n date_trunc('minute', (SELECT f FROM bornes)),\n interval '1 minute') AS t\n),\nreleve AS (\n SELECT date_trunc('minute', ts) AS t,\n avg(valeur) FILTER (WHERE cle = 'sensor.victron_pv_power_system') AS pv,\n (array_agg(valeur ORDER BY ts DESC) FILTER (WHERE cle = 'sensor.victron_pv_power_system'))[1] AS d_pv,\n avg(valeur) FILTER (WHERE cle = 'sensor.victron_consumption_power_l1') AS maison,\n (array_agg(valeur ORDER BY ts DESC) FILTER (WHERE cle = 'sensor.victron_consumption_power_l1'))[1] AS d_maison,\n avg(valeur) FILTER (WHERE cle = 'sensor.victron_grid_power_l1') AS reseau,\n (array_agg(valeur ORDER BY ts DESC) FILTER (WHERE cle = 'sensor.victron_grid_power_l1'))[1] AS d_reseau,\n avg(valeur) FILTER (WHERE cle = 'sensor.victron_evcs_ac_power') AS voiture,\n (array_agg(valeur ORDER BY ts DESC) FILTER (WHERE cle = 'sensor.victron_evcs_ac_power'))[1] AS d_voiture,\n avg(valeur) FILTER (WHERE cle = 'sensor.victron_battery_power') AS batterie,\n (array_agg(valeur ORDER BY ts DESC) FILTER (WHERE cle = 'sensor.victron_battery_power'))[1] AS d_batterie\n FROM mesure WHERE $__timeFilter(ts) GROUP BY 1\n),\npar_minute AS (\n SELECT axe.t, releve.pv, releve.d_pv, releve.maison, releve.d_maison, releve.reseau, releve.d_reseau, releve.voiture, releve.d_voiture, releve.batterie, releve.d_batterie\n FROM axe LEFT JOIN releve USING (t)\n),\npaliers AS (\n SELECT t, pv, d_pv, maison, d_maison, reseau, d_reseau, voiture, d_voiture, batterie, d_batterie,\n count(d_pv) OVER (ORDER BY t) AS g_pv,\n count(d_maison) OVER (ORDER BY t) AS g_maison,\n count(d_reseau) OVER (ORDER BY t) AS g_reseau,\n count(d_voiture) OVER (ORDER BY t) AS g_voiture,\n count(d_batterie) OVER (ORDER BY t) AS g_batterie\n FROM par_minute\n),\nreport AS (\n SELECT t,\n coalesce(pv, first_value(d_pv) OVER (PARTITION BY g_pv ORDER BY t), 0) AS pv,\n coalesce(maison, first_value(d_maison) OVER (PARTITION BY g_maison ORDER BY t), 0) AS maison,\n coalesce(reseau, first_value(d_reseau) OVER (PARTITION BY g_reseau ORDER BY t), 0) AS reseau,\n coalesce(voiture, first_value(d_voiture) OVER (PARTITION BY g_voiture ORDER BY t), 0) AS voiture,\n coalesce(batterie, first_value(d_batterie) OVER (PARTITION BY g_batterie ORDER BY t), 0) AS batterie\n FROM paliers\n)\nSELECT t AS time,\n pv AS \"Production solaire\",\n maison AS \"Consommation maison\",\n voiture AS \"Charge du vehicule\",\n reseau AS \"Reseau\",\n batterie AS \"Batterie (+ charge, - decharge)\"\nFROM report ORDER BY t"
}
],
"gridPos": {
"x": 0,
"y": 14,
"w": 24,
"h": 10
},
"fieldConfig": {
"defaults": {
"unit": "watt",
"color": {
"mode": "palette-classic"
},
"custom": {
"lineWidth": 2,
"fillOpacity": 8,
"showPoints": "never",
"spanNulls": true,
"axisBorderShow": false,
"gradientMode": "opacity"
}
},
"overrides": []
},
"options": {
"legend": {
"displayMode": "list",
"placement": "bottom",
"showLegend": true,
"calcs": []
},
"tooltip": {
"mode": "multi",
"sort": "desc"
}
}
},
{
"type": "timeseries",
"title": "Etat de charge, et ce que la nuit exigera",
"description": "Le SOC reel contre ce que le bilan energetique reclame pour traverser la nuit jusqu'au croisement production/consommation. Quand le reel passe sous la ligne en fin de journee, le reseau sera necessaire avant le matin.",
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "evcs-pg"
},
"targets": [
{
"refId": "A",
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "evcs-pg"
},
"format": "time_series",
"rawQuery": true,
"editorMode": "code",
"rawSql": "SELECT ts AS time, valeur AS \"SOC reel\"\nFROM mesure WHERE cle = 'sensor.victron_battery_soc'\n AND $__timeFilter(ts) ORDER BY 1"
},
{
"refId": "B",
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "evcs-pg"
},
"format": "time_series",
"rawQuery": true,
"editorMode": "code",
"rawSql": "SELECT ts AS time, soc_requis_pct AS \"SOC requis par le bilan\"\nFROM bilan WHERE $__timeFilter(ts) AND statut = 'ok' ORDER BY 1"
}
],
"gridPos": {
"x": 0,
"y": 24,
"w": 12,
"h": 9
},
"fieldConfig": {
"defaults": {
"unit": "percent",
"color": {
"mode": "palette-classic"
},
"custom": {
"lineWidth": 2,
"fillOpacity": 8,
"showPoints": "never",
"spanNulls": true,
"axisBorderShow": false,
"gradientMode": "opacity"
}
},
"overrides": []
},
"options": {
"legend": {
"displayMode": "list",
"placement": "bottom",
"showLegend": true,
"calcs": []
},
"tooltip": {
"mode": "multi",
"sort": "desc"
}
}
},
{
"type": "state-timeline",
"title": "Reseau, source et decisions",
"description": "Trois bandes qui se lisent ensemble. « Production bridee » signale que le solaire n'avait plus de preneur : l'energie manquante ce moment-la a ete refusee, pas absente.",
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "evcs-pg"
},
"targets": [
{
"refId": "A",
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "evcs-pg"
},
"format": "table",
"rawQuery": true,
"editorMode": "code",
"rawSql": "SELECT ts AS time, source_mode AS \"Source\"\nFROM decision WHERE $__timeFilter(ts) ORDER BY 1"
},
{
"refId": "B",
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "evcs-pg"
},
"format": "table",
"rawQuery": true,
"editorMode": "code",
"rawSql": "SELECT ts AS time, etat AS \"Etat du controleur\"\nFROM decision WHERE $__timeFilter(ts) ORDER BY 1"
},
{
"refId": "C",
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "evcs-pg"
},
"format": "table",
"rawQuery": true,
"editorMode": "code",
"rawSql": "SELECT ts AS time,\n CASE WHEN pv_censure THEN 'production bridee'\n ELSE 'production libre' END AS \"Production\"\nFROM bilan WHERE $__timeFilter(ts) ORDER BY 1"
}
],
"gridPos": {
"x": 12,
"y": 24,
"w": 12,
"h": 9
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-GrYlRd"
},
"custom": {
"lineWidth": 0,
"fillOpacity": 80,
"insertNulls": false,
"spanNulls": true
},
"mappings": []
},
"overrides": []
},
"options": {
"showValue": "auto",
"mergeValues": true,
"alignValue": "left",
"rowHeight": 0.85,
"legend": {
"displayMode": "list",
"placement": "bottom",
"showLegend": false
},
"tooltip": {
"mode": "single"
}
}
},
{
"type": "table",
"title": "Les charges du jour",
"description": "⚠️ L'etiquette du vehicule vient d'un selecteur manuel : elle est fausse s'il n'a pas ete positionne au branchement. Les deux voitures sont electriquement indiscernables (3 680 W contre 3 655 W a consigne egale).",
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "evcs-pg"
},
"targets": [
{
"refId": "A",
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "evcs-pg"
},
"format": "table",
"rawQuery": true,
"editorMode": "code",
"rawSql": "SELECT to_char(debut AT TIME ZONE 'Europe/Paris', 'HH24:MI') AS \"Debut\",\n coalesce(to_char(fin AT TIME ZONE 'Europe/Paris', 'HH24:MI'), 'en cours') AS \"Fin\",\n coalesce(vehicule, '?') AS \"Vehicule\",\n round(coalesce(energie_compteur_kwh, energie_kwh)::numeric, 2) AS \"Energie\",\n round(coalesce(p_max_w, 0)::numeric) AS \"Pointe\",\n coalesce(source_mode, '?') AS \"Source\"\nFROM session_charge WHERE $__timeFilter(debut) ORDER BY debut DESC"
}
],
"gridPos": {
"x": 0,
"y": 33,
"w": 12,
"h": 8
},
"fieldConfig": {
"defaults": {
"custom": {
"align": "left",
"cellOptions": {
"type": "auto"
},
"filterable": true
}
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "Energie"
},
"properties": [
{
"id": "unit",
"value": "kwatth"
}
]
},
{
"matcher": {
"id": "byName",
"options": "Pointe"
},
"properties": [
{
"id": "unit",
"value": "watt"
}
]
}
]
},
"options": {
"showHeader": true,
"cellHeight": "sm",
"footer": {
"show": false
}
}
},
{
"type": "table",
"title": "Ce qui est arrive aujourd'hui",
"description": "Le genre `bilan` est ecarte : ses bascules de production bridee changent plusieurs fois par heure et noieraient le reste. Elles sont lisibles dans la frise ci-dessus.",
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "evcs-pg"
},
"targets": [
{
"refId": "A",
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "evcs-pg"
},
"format": "table",
"rawQuery": true,
"editorMode": "code",
"rawSql": "SELECT to_char(ts AT TIME ZONE 'Europe/Paris', 'HH24:MI:SS') AS \"Heure\",\n genre AS \"Genre\", resume AS \"Evenement\"\nFROM evenement WHERE $__timeFilter(ts) AND genre <> 'bilan'\nORDER BY ts DESC"
}
],
"gridPos": {
"x": 12,
"y": 33,
"w": 12,
"h": 8
},
"fieldConfig": {
"defaults": {
"custom": {
"align": "left",
"cellOptions": {
"type": "auto"
},
"filterable": true
}
},
"overrides": []
},
"options": {
"showHeader": true,
"cellHeight": "sm",
"footer": {
"show": false
}
}
}
]
}
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