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EVCS/deploy/historisation/grafana/dashboards/journee.json
Tallagrand Thierry fa5ad0d98a Un tableau pour la journee, et le report cesse de fabriquer des kilowattheures 
Il manquait le bilan qu'on cherche en premier : ce qui a ete produit, consomme,
achete, et ou c'est alle. « La journee » (evcs-journee) le donne sur la fenetre
now/d — le jour civil, pas les 24 dernieres heures, sinon deux journees se
melangent et le total de production n'est plus comparable d'un jour a l'autre.

En controlant ses chiffres, un defaut bien plus large est apparu : la voiture
annoncait 6,9 kWh la ou le compteur cumulatif de la borne et la table des
sessions donnent tous deux 3,6.

Le report de la derniere valeur connue propageait la MOYENNE de la minute au
lieu de sa DERNIERE valeur. Le 07/09 a 14:28 la borne passe de 1577 a 0 W dans
la meme minute : cette minute vaut 788 W en moyenne, et le report la maintenait
pendant les heures sans ecriture qui suivaient — 0,79 kWh fabriques sur la
seule heure de 15 h, exactement 788 x 60 / 1000.

Le defaut ne se voyait ni sur le solaire ni sur la maison, ecrits en continu.
Il frappe les grandeurs intermittentes, au premier rang la borne qui passe
l'essentiel de la journee a zero. Les colonnes « Voiture » de « Le systeme » et
« Les vehicules » etaient donc fausses depuis leur creation, en surestimation.

Corrige dans les trois constructeurs de requetes : la minute observee garde sa
moyenne, juste pour l'energie consommee dans cette minute, mais le report
propage la derniere valeur reellement lue. Aucun seuil, aucune peremption
arbitraire. Apres correction la voiture tombe a 3,6 kWh, egal au centieme a la
somme des sessions.

verifier-dashboards annoncait 73/73 avec le chiffre faux : il prouve qu'une
requete s'execute, pas qu'elle rend la bonne grandeur. Deuxieme fois en trois
jours qu'une source independante est le seul controle qui attrape le defaut.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01GwpFpy2aQ2rJok6tNQSbVj
2026-09-07 23:10:55 +02:00

581 lines
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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"
},
"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": "stat",
"title": "Le bilan depuis minuit",
"description": "Sept chiffres, une ligne. 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.",
"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 axe AS (\n SELECT generate_series(date_trunc('minute', $__timeFrom()::timestamptz),\n date_trunc('minute', $__timeTo()::timestamptz),\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\"\nFROM report"
}
],
"gridPos": {
"x": 0,
"y": 0,
"w": 24,
"h": 5
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "text",
"value": null
}
]
},
"mappings": []
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "Autonomie"
},
"properties": [
{
"id": "unit",
"value": "percent"
},
{
"id": "thresholds",
"value": {
"mode": "absolute",
"steps": [
{
"color": "red",
"value": null
},
{
"color": "#EAB839",
"value": 60
},
{
"color": "green",
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}
]
}
}
]
},
{
"matcher": {
"id": "byName",
"options": "Reseau importe"
},
"properties": [
{
"id": "thresholds",
"value": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "#EAB839",
"value": 3
},
{
"color": "orange",
"value": 8
}
]
}
}
]
}
]
},
"options": {
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "/.*/",
"values": false
},
"orientation": "horizontal",
"textMode": "auto",
"colorMode": "value",
"graphMode": "none",
"justifyMode": "center",
"percentChangeColorMode": "standard",
"noValue": "—",
"wideLayout": true
}
},
{
"type": "barchart",
"title": "Energie heure par heure",
"description": "La forme de la journee : quand le solaire a couvert la maison, et quand il a fallu acheter. Le pas suit la periode choisie.",
"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 $__timeFrom()::timestamptz AS d, $__timeTo()::timestamptz 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)\nSELECT to_char(date_trunc(pas.unite, t), pas.forme) AS \"Heure\",\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\"\nFROM report, pas\nGROUP BY date_trunc(pas.unite, t), pas.forme\nHAVING count(Solaire) > 0 OR count(Reseau) > 0 OR count(Maison) > 0 OR count(Voiture) > 0\nORDER BY date_trunc(pas.unite, t)"
}
],
"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": []
},
"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"
}
},
"transformations": [
{
"id": "filterFieldsByName",
"options": {
"include": {
"pattern": "^(Time|time|Heure|$vue)$"
}
}
}
]
},
{
"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 axe AS (\n SELECT generate_series(date_trunc('minute', $__timeFrom()::timestamptz),\n date_trunc('minute', $__timeTo()::timestamptz),\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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