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    4. Wie wird das Widget JSON Table eingestellt/formatiert

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    Wie wird das Widget JSON Table eingestellt/formatiert

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    • JB_Sullivan
      JB_Sullivan last edited by JB_Sullivan

      ??????????? - OK - 😨 😨 😨 - nix verstehn -😅 😅 😅

      time weg zu lassen macht keinen Unterschied, habe ich schon probiert. Ich dachte das muss so, weil`s in Klammern steht

      M 1 Reply Last reply Reply Quote 0
      • SBorg
        SBorg Forum Testing Most Active last edited by

        @JB_Sullivan sagte in Wie wird das Widget JSON Table eingestellt/formatiert:

        [{"id":329,"restored":false,"home":true,"time":{"started":1582228270,

        Das kann das Widget IMHO nicht. "Normales" JSON ist wie der Anfang: Bezeichnung:Wert, Bezeichnung:Wert, ...
        Dann wird aber das JSON bei "time" durch die {} geschachtelt. Da steigt das Widget aus.
        Für den Fall müsstest du das JSON mittels JS/Blockly oder Node-RED auseinander nehmen, in (einen) Datenpunkt/e schreiben und dann in der VIS darstellen.

        1 Reply Last reply Reply Quote 0
        • TomT
          TomT @G.Hawk last edited by

          @Martin-0 sagte in Wie wird das Widget JSON Table eingestellt/formatiert:

          Hallo
          Ist zwar schon älter, aber genau die Frage habe ich auch.
          Wie kann ich diese Tabelle etwas hübscher machen?

          Versuch mal ein CSS einzutragen.

          .tclass {
              background-color: #000000;
              border: 1px solid black;
              width: 100%;
              table-layout: fixed;
              font-family: Arial;
          }
          
          .tclass-inner {
              background-color: #404040;
              border: 1px solid black;
              width: 100%;
              table-layout: fixed;
              height: 100%;
          }
          
          .tclass-th {
              background-color: #808080;
              color: #000000;
              font-weight: bold;
          }
          
          .tclass-th1 {
              width: 20px;
              text-align: center;
          }
          
          .tclass-th2 {
              width: 20px;
              text-align: center;
          }
          
          .tclass-tr {
              color: #ffffff;
          }
          
          .tclass-tr-even {
              background-color: #800000;
          }
          
          .tclass-tr-odd {
              background-color: #300000;
          }
          
          Grüße
          Tom
          
          1 Reply Last reply Reply Quote 0
          • OliverIO
            OliverIO @sigi234 last edited by

            @sigi234
            Hallo Sigi,
            meinst du man sollte ein widget für json-daten bauen, welche dann über ein template (wie bei rssfeed) individuell "programmiert" werden kann?

            sigi234 1 Reply Last reply Reply Quote 0
            • sigi234
              sigi234 Forum Testing Most Active @OliverIO last edited by

              @OliverIO sagte in Wie wird das Widget JSON Table eingestellt/formatiert:

              @sigi234
              Hallo Sigi,
              meinst du man sollte ein widget für json-daten bauen, welche dann über ein template (wie bei rssfeed) individuell "programmiert" werden kann?

              Wäre nicht schlecht, aber viele haben halt Probleme mit den "programmieren" der Templates.
              Außer mann macht viele Vorlagen.

              OliverIO 1 Reply Last reply Reply Quote 0
              • OliverIO
                OliverIO @sigi234 last edited by

                @sigi234
                Wer sich auf JSON einlässt, der kommt mE dem Bereich programmieren schon sehr nahe.
                Wer mit den Daten etwas anfangen will, der muss zumindest den Syntax verstehen.
                Mit etwas Erklärung zur Syntax
                Erklärung welche Hilfestellungen man verwenden kann?
                Zur Verfügung gestellte Beispiele, die jemand einfach nachvollziehen kann, müsste das schon gehen.
                Wie du evtl. festgestellt hast vertrete ich die Position, die Leute in die richtige Richtung zu stubsen, aber nicht alles vorzugeben. Ein bisschen Lernen muss mit dabei sein. Wer das nicht will/kann der wird es nicht hinbekommen.

                Wie gesagt, dieses besagte Widget wäre in null Komma nix fertig, weil es eigentlich nur eine abgespeckte Version des rssfeed widget wäre.
                Ich würde dieses widget auch erst einmal im rssfeed adapter belassen. Wenn dann noch weiteres hinzukommt, könnte man es in einen eigenen Adapter verschieben.

                1 Reply Last reply Reply Quote 1
                • M
                  marc1180 @JB_Sullivan last edited by

                  @JB_Sullivan
                  Hast du hierzu schon ein Lösung gefunden?
                  Ich stehe gerade vor genau dem selben Problem 😕
                  Wollte auch die history meines Roombas über Json abbilden und erhalte überall nur [object Object]
                  alt text

                  @SBorg
                  Hab mit Blockly schon einiges gebaut...aber wie ich das hier rausfiltern soll.....dazu fehlt mir gerade jegliche Fantasie.
                  Die Tabelle wird nach jedem Reinigungsvorgang erweitert. Wenn das über Json nicht geht, dann gerne hier ein paar Tips😬

                  Gruß

                  SBorg JB_Sullivan 2 Replies Last reply Reply Quote 0
                  • SBorg
                    SBorg Forum Testing Most Active @marc1180 last edited by

                    @marc1180 Gerade einfach ist es nicht. Im Grunde würde ich eine RRD erzeugen mit bspw. 10 Einträgen. So landet der neuste Eintrag in der Liste, der älteste fliegt raus.
                    Der Datenpunkt des Roboters wird dann auf Änderungen überwacht und nutzt dann zB JSON.parse, um die gewünschten Einträge zu erhalten und in den neuen JSON-String-Datenpunkt zu schreiben. Dann klappt das auch mit dem Widget.

                    ...Bahnhof...? 😉

                    M 1 Reply Last reply Reply Quote 0
                    • JB_Sullivan
                      JB_Sullivan @marc1180 last edited by JB_Sullivan

                      @marc1180

                      Ne, ich habe es aufgegeben. Habe noch genügend andere Baustellen, sodaß in meiner Proiritätenliste nicht so fürchterlich weit oben steht.

                      @SBorg

                      Bahnhof - trifft es ziehmlich gut 😉

                      1 Reply Last reply Reply Quote 0
                      • M
                        marc1180 @SBorg last edited by marc1180

                        @SBorg
                        "Bahnhof" hab ich verstanden 😅 😅 😅

                        OK....selbst nach recherche kann ich nicht wirklich viel damit anfangen 🤔
                        Was heißt RRD?
                        Und mit JSON.parce hab ich auch noch nie was gemacht. Hast du hier mal Beispiele, wie das in meinem Fall funktionieren kann?
                        Hier mal ein Auszug des Datenpunktes.....und das ist nur ein kleiner Teil 😰

                        [{"id":209,"restored":true,"home":true,"time":{"started":1594557356,"startedDateTime":"12.07.2020 13:35:56","runtime":2500,"ended":1594563758,"endedDateTime":"12.07.2020 15:22:38"},"status":{"cycle":"clean","phase":"docking","expireM":0,"rechrgM":0,"error":0,"notReady":0,"mssnM":41,"sqft":291,"initiator":"rmtApp","nMssn":209,"sqm":27.03},"pos":{"current":{"theta":180,"x":733,"y":340},"last":{"theta":180,"x":733,"y":340}},"map":{"img":"data:image/png;base64,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
                        

                        Im Endeffekt brauche ich nur die ersten Werte. Der Restliche Buchstaben/Zahlen Salat ist nur die Map.
                        Und mitten im Code liegt die nächste ID 210....usw

                        liv-in-sky 1 Reply Last reply Reply Quote 0
                        • liv-in-sky
                          liv-in-sky last edited by liv-in-sky

                          weiß nicht ob euch das hilft - ich habe mich damals auch über dieses widget geärgert und letztlich kam dieses template heraus

                          https://forum.iobroker.net/topic/28021/html-table-für-vis-oder-iqontrol-js-und-blockly

                          darin können jsons oder datenpunkte über schleifen ausgelesen werden um letztlich eine tabelle im html format erzeugt zu werden. im script kann natürlich bei der verarbeitung noch mehr gemacht werden ( z.b threshold-werte abgefangen und farblich markiert werden)

                          bei einfachen tabellen kann ich gerne etwas behilflich sein

                          1 Reply Last reply Reply Quote 1
                          • liv-in-sky
                            liv-in-sky @marc1180 last edited by

                            @marc1180

                            würde dann so aussehen:

                            Image 2.png

                            M 1 Reply Last reply Reply Quote 1
                            • M
                              marc1180 @liv-in-sky last edited by

                              @liv-in-sky
                              schon mal Danke für die Rückmeldung.
                              Hab mir die Seite noch nicht komplett durchgelesen...

                              Dein Beispiel sieht ja schon mal sehr vielversprechend aus 😃
                              Hast du das mit den Rohdaten gebaut, die ich oben angegeben hatte?
                              Wird das dann nur mit Blockly gebaut (so wie das Beispiel in dem Link)?

                              liv-in-sky 2 Replies Last reply Reply Quote 0
                              • liv-in-sky
                                liv-in-sky @marc1180 last edited by

                                @marc1180 das sind die daten von oben - du kannst ja mal die vollständigen daten posten - deine daten waren ja abgeschnitten

                                nein - kein blockly - ist aber halb so schlimm - ich brauche eigentlich nur die genaue spalten anzahl (höchstens 10) mit überschriften

                                im js ist es eigentlich nur dieser teil, der für die verarbeitung wichtig ist - hier wird definiert, was in jeder spalte , wie stehen soll - der rest des scriptes ist html-tabellen zeugs - farben, größe, anordnung...

                                Image 4.png

                                M 1 Reply Last reply Reply Quote 1
                                • liv-in-sky
                                  liv-in-sky @marc1180 last edited by

                                  @marc1180 die map abzubilden in der tabelle ist eher schlecht

                                  Image 5.png

                                  da müßte man sich etwas anderes einfallen lassen

                                  man könnte vielleicht die map in ein en extra datenpunkt schreiben und über ein popup in der vis anzeigen

                                  M 1 Reply Last reply Reply Quote 1
                                  • M
                                    marc1180 @liv-in-sky last edited by

                                    @liv-in-sky
                                    Du bist zu schnell für mich 😅 😅
                                    die html formatierung würde ich hinkriegen....beim Rest versuche ich dir zu folgen 😅
                                    Da der Code zu groß ist (zu viele zeichen) um es hier zu posten, hab ichs mal bei GoogleDrive hochgeladen
                                    hier

                                    Im Endeffekt bräuchte ich 7 Spalten
                                    ID, Start (startedDateTime), Ende (endedDateTime), Saugzeit (runtime), Status, gestartet über (initiator), gereinigte Fläche (sqm)

                                    Schon mal vielen Dank für die Mühe🍻

                                    liv-in-sky 1 Reply Last reply Reply Quote 0
                                    • M
                                      marc1180 @liv-in-sky last edited by

                                      @liv-in-sky
                                      Die Map brauch ich erst mal nicht.
                                      Die Tabelle reicht mir föllig

                                      1 Reply Last reply Reply Quote 0
                                      • liv-in-sky
                                        liv-in-sky @marc1180 last edited by liv-in-sky

                                        @marc1180 das sind diese maps - die brauchen enorm viel platz

                                        habe eine anfrage wegen der daten gestellt

                                        Image 6.png

                                        M 1 Reply Last reply Reply Quote 1
                                        • M
                                          marc1180 @liv-in-sky last edited by

                                          @liv-in-sky
                                          Jetzt sollte es gehen😊

                                          liv-in-sky 2 Replies Last reply Reply Quote 0
                                          • liv-in-sky
                                            liv-in-sky @marc1180 last edited by

                                            @marc1180 die daten waren leider wieder abgeschnitten - ist aber kein thema - habe sie einfach abgeschlossen

                                            das kommt dabei raus

                                            Image 10.png

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