UPDATE 31.10.: Amazon Alexa - ioBroker Skill läuft aus ?

[Negalein]

@crunchip sagte in Grafana Tagesverbrauch:

trag deinen Wert überall ein, kommende Woche passt sich dann der Wert Woche automatisch an, zum Monatsanfang passt sich dann der Wert Monat automatisch an usw...

Ok, danke.
Hab einen Fehler gesehen. Muss ja nicht 1224 sondern 1.224 eintragen.

Und der Tageswert kommt jetzt von Tag zu Tag dazu.

[Negalein]

@crunchip sagte in Grafana Tagesverbrauch:

trag deinen Wert überall ein

Gerade noch gesehen, dass ich bei zB Meter reading at week start den Wert ja nicht weiß.

[crunchip]

@Negalein
sourceanalytix.0.xyz.Meter_Readings.current_year.this_week siehst du deinen fortlaufenden Verbrauch
sourceanalytix.0.xyz.consumption.current_year.this_week deinen täglichen Verbrauch

[crunchip]

@Negalein musst du ja nicht, du startest mit dem jetzigen Wert, ab Montag startet die Berechnung für die neue Woche automatisch

[crunchip]

@Negalein du müsstest dann sourceanalytix.0.xyz.Meter_Readings.Current_Reading für deinen Grafana Datenpunkt nehmen

[Negalein]

@crunchip sagte in Grafana Tagesverbrauch:

musst du ja nicht, du startest mit dem jetzigen Wert, ab Montag startet die Berechnung für die neue Woche automatisch

Ok, ich dachte du meinst ich muss den Wert überall eintragen.

@crunchip sagte in Grafana Tagesverbrauch:

du müsstest dann sourceanalytix.0.xyz.Meter_Readings.Current_Reading für deinen Grafana Datenpunkt nehmen

Und so die Formel dann verwenden?
SELECT non_negative_difference(last(cumulative_sum))FROM ( SELECT cumulative_sum(non_negative_difference(last("value"))) FROM "sourceanalytix.0.hs100__0__10_0_1_80__power.Meter_Readings.Current_Reading" WHERE $timeFilter GROUP BY time(1d) ) WHERE $timeFilter GROUP BY time(1d) tz('Europe/Berlin')

Dann bekomm ich für jeden Tag einen eigenen Balken?

[crunchip]

@Negalein sagte in Grafana Tagesverbrauch:

Dann bekomm ich für jeden Tag einen eigenen Balken

ja
hier ein Beispiel,
jeden Tag kommt ein Balken dazu...am Monatsanfang beginnt es wieder mit einem Balken

[Negalein]

@crunchip sagte in Grafana Tagesverbrauch:

ja

Danke

Dann warte ich mal auf Morgen

[crunchip]

@Negalein einzelne Geräte oder auch über sourceanalytix kannst du dann so einstellen
Beispiel

[Negalein]

@crunchip sagte in Grafana Tagesverbrauch:

einzelne Geräte oder auch über sourceanalytix kannst du dann so einstellen

so schaut derzeit mein Dashboard aus

[Negalein]

@crunchip

Kannst du nochmal schauen?

Diese DP werden jetzt befüllt.
Seit Mitternacht auch im positiven Bereich für Sonntag.

In Grafana hab ich es so eingetragen.

Trotzdem steht "no Data".

Trag ich als Query direkt den DP ein, kommt ein Balken.

Was mach ich da falsch?

Danke

[crunchip]

@Negalein bist du sicher das die Bezeichnung richtig geschrieben ist? kommt mir irgendwie etwas komisch vor mit dem...hs100__0__10....(die doppelten unterstriche)

[Negalein]

@crunchip sagte in Grafana Tagesverbrauch:

bist du sicher das die Bezeichnung richtig geschrieben ist? kommt mir irgendwie etwas komisch vor mit dem...hs100__0__10....(die doppelten unterstriche)

Ja, gerade nochmal geschaut.

So siehts in Source aus:

Und so die DP:
zB der sourceanalytix.0.hs100__0__10_0_1_80__power.Meter_Readings.Current_Reading

[crunchip]

@Negalein mach mal ein neues dasboard füge die json ein...und natürlich deinen Datenpunkt anpassen

Spoiler

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       "h": 8,
       "w": 5,
       "x": 0,
       "y": 18
     },
     "id": 10,
     "interval": null,
     "legend": {
       "percentage": true,
       "show": true,
       "values": true
     },
     "legendType": "On graph",
     "links": [],
     "maxDataPoints": 3,
     "nullPointMode": "connected",
     "options": {},
     "pieType": "pie",
     "pluginVersion": "6.5.2",
     "strokeWidth": 1,
     "targets": [
       {
         "alias": "Strom",
         "groupBy": [
           {
             "params": [
               "$__interval"
             ],
             "type": "time"
           },
           {
             "params": [
               "null"
             ],
             "type": "fill"
           }
         ],
         "measurement": "sourceanalytix.0.wiffi-wz__0__root__10_1_30_10__w_counter_1.cost.03_current_month",
         "orderByTime": "ASC",
         "policy": "default",
         "refId": "A",
         "resultFormat": "time_series",
         "select": [
           [
             {
               "params": [
                 "value"
               ],
               "type": "field"
             },
             {
               "params": [],
               "type": "mean"
             }
           ]
         ],
         "tags": []
       },
       {
         "alias": "Heizung",
         "groupBy": [
           {
             "params": [
               "$__interval"
             ],
             "type": "time"
           },
           {
             "params": [
               "null"
             ],
             "type": "fill"
           }
         ],
         "measurement": "sourceanalytix.0.wiffi-wz__0__root__10_1_30_10__w_counter_2.cost.03_current_month",
         "orderByTime": "ASC",
         "policy": "default",
         "refId": "B",
         "resultFormat": "time_series",
         "select": [
           [
             {
               "params": [
                 "value"
               ],
               "type": "field"
             },
             {
               "params": [],
               "type": "mean"
             }
           ]
         ],
         "tags": []
       },
       {
         "alias": "Wasser",
         "groupBy": [
           {
             "params": [
               "$__interval"
             ],
             "type": "time"
           },
           {
             "params": [
               "null"
             ],
             "type": "fill"
           }
         ],
         "measurement": "sourceanalytix.0.wiffi-wz__0__root__10_1_30_10__w_counter_3.cost.03_current_month",
         "orderByTime": "ASC",
         "policy": "default",
         "refId": "C",
         "resultFormat": "time_series",
         "select": [
           [
             {
               "params": [
                 "value"
               ],
               "type": "field"
             },
             {
               "params": [],
               "type": "mean"
             }
           ]
         ],
         "tags": []
       }
     ],
     "timeFrom": null,
     "timeShift": null,
     "title": "Pie Chart",
     "transparent": true,
     "type": "grafana-piechart-panel",
     "valueName": "current"
   }
 ],
 "schemaVersion": 21,
 "style": "dark",
 "tags": [
   "Monatsverbrauch"
 ],
 "templating": {
   "list": []
 },
 "time": {
   "from": "now/M",
   "to": "now"
 },
 "timepicker": {
   "refresh_intervals": [
     "5s",
     "10s",
     "30s",
     "1m",
     "5m",
     "15m",
     "30m",
     "1h",
     "2h",
     "1d"
   ],
   "time_options": [
     "5m",
     "15m",
     "1h",
     "6h",
     "12h",
     "24h",
     "2d",
     "7d",
     "30d"
   ]
 },
 "timezone": "",
 "title": "Monatsverbrauch",
 "uid": "_tteA1VZz",
 "version": 73
}

[Negalein]

@crunchip sagte in Grafana Tagesverbrauch:

mach mal ein neues dasboard füge die json ein...und natürlich deinen Datenpunkt anpassen

kommt auch "no Data"

[crunchip]

@Negalein auch die richtige Datenbank ausgewählt? oder hast du nur eine

[Negalein]

@crunchip sagte in Grafana Tagesverbrauch:

auch die richtige Datenbank ausgewählt? oder hast du nur eine

Ja, hab nur eine

[Negalein]

wähle ich "nur" den DP als Query aus, kommen Daten.

Verwende ich aber
SELECT non_negative_difference(last(cumulative_sum))FROM ( SELECT cumulative_sum(non_negative_difference(last("value"))) FROM "sourceanalytix.0.hs100__0__10_0_1_80__power.Meter_Readings.Current_Reading" WHERE $timeFilter GROUP BY time(1d) ) WHERE $timeFilter GROUP BY time(1d) tz('Europe/Berlin')
kommt "no Data".

[crunchip]

@Negalein klick mal rechts auf Query Inspector >>Expand All
vllt kann man da etwas erkennen

[Negalein]

@crunchip sagte in Grafana Tagesverbrauch:

klick mal rechts auf Query Inspector >>Expand All

Object
xhrStatus:"complete"
request:Object
method:"GET"
url:"api/datasources/proxy/1/query"
params:Object
db:"iobroker"
q:"SELECT non_negative_difference(last(cumulative_sum))FROM ( SELECT cumulative_sum(non_negative_difference(last("value"))) FROM "sourceanalytix.0.hs100__0__10_0_1_80__power.Meter_Readings.Current_Reading" WHERE time >= 1583017200000ms GROUP BY time(1d) ) WHERE time >= 1583017200000ms GROUP BY time(1d) tz('Europe/Berlin')"
epoch:"ms"
data:null
precision:"ms"
response:Object
results:Array[1]
0:Object
statement_id:0