- ioBroker Community Home
- Deutsch
- Skripten / Logik
- Blockly
- [GELÖST] Objekt (type: channel/device) erzeugen?
NEWS
[GELÖST] Objekt (type: channel/device) erzeugen?
This topic has been deleted. Only users with topic management privileges can see it.
-
Ah ok das macht Sinn!
In deinem Beispiel bildet die var. obj, in einer json die objektdaten (Typ, common, native), sehe ich das richtig?
Dann müsste es doch theoretisch gehen, wenn ich es so formatiere: setObject(id, {type: type, JSON.parse(common)}; ?
Die var. type Fülle ich dann mit der Angabe (folder, device, channel)
Die var. common würde ich dann mit den Angaben {"Name":"xyz","write":false} füllen…
Die Angabe 'native' kann ich problemlos weglassen, wenn ich nicht vorhabe sie zu füllen?Oder sollte ich dennoch mit der var. obj arbeiten und diese mit {type:'folder', common:{name:'xyz', write: false}} füllen?
Vielen vielen Dank!
@newpicsel sagte: in einer json die objektdaten (Typ, common, native), sehe ich das richtig?
Nein, in meinem Beispiel ist es direkt als Objekt (nicht als JSON) deklariert. Weshalb sollte man den Umweg über JSON gehen?
@newpicsel sagte in Datenpunkt (type: channel/device) erzeugen?:
Die var. common würde ich dann mit den Angaben {"Name":"xyz","write":false} füllen…
Kein JSON und common.write gibt es nur bei Datenpunkten.
Bitte verzichtet auf Chat-Nachrichten, denn die Handhabung ist grauenhaft !
Produktiv: RPi 2 mit S.USV, HM-MOD-RPI und SLC-USB-Stick mit root fs -
@newpicsel sagte: Womit füttere ich 'obj' ?
const obj = { type: 'device', common: { name: 'Gerätename' }, native: {} }@newpicsel sagte in Datenpunkt (type: channel/device) erzeugen?:
Sollte ich hier in der Überschrift Datenpunkt zu Objekt ändern?
Ja.
-
if(existsObject(id) === false) { setObject(id, obj); } const obj = { type: type, common: { name: name, write: write, read: read }, native: {} }Wäre das ok? Kann ich obj wieder mit variablen füllen?
Würde dann im block so aussehen...
-
if(existsObject(id) === false) { setObject(id, obj); } const obj = { type: type, common: { name: name, write: write, read: read }, native: {} }Wäre das ok? Kann ich obj wieder mit variablen füllen?
@newpicsel sagte in Datenpunkt (type: channel/device) erzeugen?:
Wäre das ok? Kann ich obj wieder mit variablen füllen?
const obj = {muss vor
setObject(id, obj);erfolgen.
Sämtliche Variablen / Konstanten müssen vorher deklariert werden und Werte erhalten.const id = '0_userdata.0.meinGeraet.meinKanal'; const type = 'channel'; const Name = 'mein Kanalname'; const obj = { type: type, common: { name: Name }, native: {} } if(existsObject(id) === false) setObject(id, obj);Bitte verzichtet auf Chat-Nachrichten, denn die Handhabung ist grauenhaft !
Produktiv: RPi 2 mit S.USV, HM-MOD-RPI und SLC-USB-Stick mit root fs -
Würde dann im block so aussehen...
@newpicsel sagte: Würde dann im block so aussehen...
Du möchtest es als Javascript-Funktion in Blockly? Dann bitte ohne write und read, denn die gibt es nur in Datenpunkten.
Funktion createObject(id, type, name):if(!existsObject(id)) { const obj = { type: type, common: {name: name}, native: {} }; setObject(id, obj); }Für Datenpunkte verwende createState().
Bitte verzichtet auf Chat-Nachrichten, denn die Handhabung ist grauenhaft !
Produktiv: RPi 2 mit S.USV, HM-MOD-RPI und SLC-USB-Stick mit root fs -
@newpicsel sagte in Datenpunkt (type: channel/device) erzeugen?:
Wäre das ok? Kann ich obj wieder mit variablen füllen?
const obj = {muss vor
setObject(id, obj);erfolgen.
Sämtliche Variablen / Konstanten müssen vorher deklariert werden und Werte erhalten.const id = '0_userdata.0.meinGeraet.meinKanal'; const type = 'channel'; const Name = 'mein Kanalname'; const obj = { type: type, common: { name: Name }, native: {} } if(existsObject(id) === false) setObject(id, obj);Klar logisch! :man-facepalming:
Mein Fehler, bis auf die Konstante obj, werden alle Variablen am Anfang des Blocks definiert, obj muss natürlich auch direkt im Anschluss definiert werden und dann die Funktion ausgeführt werden :+1:
-
@newpicsel sagte: Würde dann im block so aussehen...
Du möchtest es als Javascript-Funktion in Blockly? Dann bitte ohne write und read, denn die gibt es nur in Datenpunkten.
Funktion createObject(id, type, name):if(!existsObject(id)) { const obj = { type: type, common: {name: name}, native: {} }; setObject(id, obj); }Für Datenpunkte verwende createState().
Ok das mit den write/read Angaben wusste ich nicht, hab ich nur in den objektdaten bestehender Objekte von Adaptern gesehen, macht aber auch wenig Sinn wenn ich drüber nachdenke…
Ich bin dir unendlich dankbar, werde ich gleich testen! :hugging_face:
-
@newpicsel sagte: Würde dann im block so aussehen...
Du möchtest es als Javascript-Funktion in Blockly? Dann bitte ohne write und read, denn die gibt es nur in Datenpunkten.
Funktion createObject(id, type, name):if(!existsObject(id)) { const obj = { type: type, common: {name: name}, native: {} }; setObject(id, obj); }Für Datenpunkte verwende createState().
-
Funktioniert fast astrein, lediglich der Name wird nicht übernommen, hier steht immer der Pfad des Objekts… :thinking_face:
@newpicsel sagte: der Name wird nicht übernommen, hier steht immer der Pfad des Objekts…
name ist eine im Javascript-Adapter vordefinierte Variable und enthält den Namen des Skripts. Wie sieht das Skript aus, das den falschen Namen übergibt? Als globale Variable / Konstante sollte name nicht verwendet werden (ausnahmsweise besser Name).
Bitte verzichtet auf Chat-Nachrichten, denn die Handhabung ist grauenhaft !
Produktiv: RPi 2 mit S.USV, HM-MOD-RPI und SLC-USB-Stick mit root fs -
@newpicsel sagte: der Name wird nicht übernommen, hier steht immer der Pfad des Objekts…
name ist eine im Javascript-Adapter vordefinierte Variable und enthält den Namen des Skripts. Wie sieht das Skript aus, das den falschen Namen übergibt? Als globale Variable / Konstante sollte name nicht verwendet werden (ausnahmsweise besser Name).
-
@newpicsel
wie sieht denn jetzt die fertige Funktion bzw. das Blockly mit der Funktion aus. (interessiert mich auch)
Bitte mal als Export hier zur Verfügung stellen. -
@newpicsel sagte: Würde dann im block so aussehen...
Du möchtest es als Javascript-Funktion in Blockly? Dann bitte ohne write und read, denn die gibt es nur in Datenpunkten.
Funktion createObject(id, type, name):if(!existsObject(id)) { const obj = { type: type, common: {name: name}, native: {} }; setObject(id, obj); }Für Datenpunkte verwende createState().
@paul53 sagte in [GELÖST] Objekt (type: channel/device) erzeugen?:
@newpicsel sagte: Würde dann im block so aussehen...
Du möchtest es als Javascript-Funktion in Blockly? Dann bitte ohne write und read, denn die gibt es nur in Datenpunkten.
Funktion createObject(id, type, name):if(!existsObject(id) { const obj = { type: type, common: {name: name}, native: {} }; setObject(id, obj); }Für Datenpunkte verwende createState().
Danke, bei mir funktioniert es jetzt auch. Hier fehlte nur eine schließende Klammer hinter id. (deshalb hatte ich eine Fehlermeldung)
if(!existsObject(id)) { -
@paul53 sagte in [GELÖST] Objekt (type: channel/device) erzeugen?:
@newpicsel sagte: Würde dann im block so aussehen...
Du möchtest es als Javascript-Funktion in Blockly? Dann bitte ohne write und read, denn die gibt es nur in Datenpunkten.
Funktion createObject(id, type, name):if(!existsObject(id) { const obj = { type: type, common: {name: name}, native: {} }; setObject(id, obj); }Für Datenpunkte verwende createState().
Danke, bei mir funktioniert es jetzt auch. Hier fehlte nur eine schließende Klammer hinter id. (deshalb hatte ich eine Fehlermeldung)
if(!existsObject(id)) { -
@newpicsel
wie sieht denn jetzt die fertige Funktion bzw. das Blockly mit der Funktion aus. (interessiert mich auch)
Bitte mal als Export hier zur Verfügung stellen.Ich habe hier eine übersicht mit Beispiel und dem export:
<xml xmlns="https://developers.google.com/blockly/xml"> <variables> <variable id="LfiUSz-w5]D.G6Ak/y2e">id</variable> <variable id="$mcGKjxdKw)k_50}qNIe">Name</variable> <variable id="(k_r{s{0[,uYi4T_X$#L">type</variable> <variable id="UUvU!puSSzK/c])G!9kP">init</variable> <variable id="lY8-+lZ_0InQ@{{HF9Z0">common</variable> </variables> <block type="comment" id="v_tv;-V],:3dC|KK,+0H" x="62" y="-112"> <field name="COMMENT">Beispiel: erstelle Struktur!</field> </block> <block type="procedures_defcustomnoreturn" id="JR|$]lz%;.#aZJ4SpaLs" x="63" y="-62"> <mutation statements="false"> <arg name="id" varid="LfiUSz-w5]D.G6Ak/y2e"></arg> <arg name="Name" varid="$mcGKjxdKw)k_50}qNIe"></arg> <arg name="type" varid="(k_r{s{0[,uYi4T_X$#L"></arg> </mutation> <field name="NAME">createObject</field> <field name="SCRIPT">aWYoZXhpc3RzT2JqZWN0KGlkKSA9PT0gZmFsc2UpIHsNCiAgIGNvbnN0IG9iaiA9IHsNCiAgICAgIHR5cGU6IHR5cGUsDQogICAgICBjb21tb246IHtuYW1lOiBOYW1lfSwNCiAgICAgIG5hdGl2ZToge30NCiAgIH07DQogICBzZXRPYmplY3QoaWQsIG9iaik7DQp9</field> <comment pinned="false" h="80" w="160">Beschreibe diese Funktion …</comment> </block> <block type="procedures_callcustomnoreturn" id="vAB{{mVjCQJ!8#??9=Yv" x="62" y="13"> <mutation name="createObject"> <arg name="id"></arg> <arg name="Name"></arg> <arg name="type"></arg> </mutation> <value name="ARG0"> <block type="text" id="1}xLocpB~=/T8UF0rOtV"> <field name="TEXT">0_userdata.0.Eigene_Objekte_TEST</field> </block> </value> <value name="ARG1"> <block type="text" id="x0Z`IhO^?O^Xjugfg)^r"> <field name="TEXT">Hier solten eigene Objekte angelegt werden</field> </block> </value> <value name="ARG2"> <block type="text" id="];A~I~Iu_Bvo3zU@TvFs"> <field name="TEXT">folder</field> </block> </value> <next> <block type="procedures_callcustomnoreturn" id="a,xCOypc+jYj*/m+`pHH"> <mutation name="createObject"> <arg name="id"></arg> <arg name="Name"></arg> <arg name="type"></arg> </mutation> <value name="ARG0"> <block type="text" id="KQse/m:qnU{L3=]o$~Oh"> <field name="TEXT">0_userdata.0.Eigene_Objekte_TEST.lampen</field> </block> </value> <value name="ARG1"> <block type="text" id="a80aUMb-3Si1avx1}wn4"> <field name="TEXT">Übersicht aller Lampen</field> </block> </value> <value name="ARG2"> <block type="text" id="q_^90iUY[Qof+Hg,/vG="> <field name="TEXT">device</field> </block> </value> <next> <block type="procedures_callcustomnoreturn" id="?hgrd_seNBhCDwj`R?iV"> <mutation name="createObject"> <arg name="id"></arg> <arg name="Name"></arg> <arg name="type"></arg> </mutation> <value name="ARG0"> <block type="text" id="UZ!.oytWIG@$p,U}Ytz["> <field name="TEXT">0_userdata.0.Eigene_Objekte_TEST.lampen.küchenLampe</field> </block> </value> <value name="ARG1"> <block type="text" id="R%[^-_c6G+{Q019ywz/Q"> <field name="TEXT">Übersicht Küchenlampe</field> </block> </value> <value name="ARG2"> <block type="text" id="eO|JkOJ~iw4Thw2!Nl5_"> <field name="TEXT">channel</field> </block> </value> </block> </next> </block> </next> </block> <block type="comment" id="ip#vELLdxEZ71[I(hkg1" x="62" y="412"> <field name="COMMENT">Beispiel: erstelle Datenpunkt in dieser Struktur!</field> </block> <block type="procedures_defcustomnoreturn" id="gJ[9+,egE[AS4K(1@x$b" x="63" y="463"> <mutation statements="false"> <arg name="id" varid="LfiUSz-w5]D.G6Ak/y2e"></arg> <arg name="init" varid="UUvU!puSSzK/c])G!9kP"></arg> <arg name="common" varid="lY8-+lZ_0InQ@{{HF9Z0"></arg> </mutation> <field name="NAME">createDatapoint</field> <field name="SCRIPT">aWYoZXhpc3RzU3RhdGUoaWQpID09PSBmYWxzZSkgew0KDQogICAgY3JlYXRlU3RhdGUoaWQsIGluaXQsIEpTT04ucGFyc2UoY29tbW9uKSk7DQoNCn0=</field> <comment pinned="false" h="80" w="160">Beschreibe diese Funktion …</comment> </block> <block type="procedures_callcustomnoreturn" id="WM|LTm`,;Ej;Y:i3idy5" x="63" y="538"> <mutation name="createDatapoint"> <arg name="id"></arg> <arg name="init"></arg> <arg name="common"></arg> </mutation> <value name="ARG0"> <block type="text" id="YwbD/A;~U)U0G[mOh_|!"> <field name="TEXT">0_userdata.0.Eigene_Objekte_TEST.lampen.küchenLampe.lichtAN</field> </block> </value> <value name="ARG1"> <block type="logic_boolean" id="9q)o,H^0D*?gz#W(uYGi"> <field name="BOOL">FALSE</field> </block> </value> <value name="ARG2"> <block type="text" id="xzF$PY~-Jvp.ZN@Hwvmj"> <field name="TEXT">{"type":"boolean","role":"indicator","write":false,"read": true,"name": "Status Licht"}</field> </block> </value> </block> </xml>
Ich hoffe das hilft eventuell jemanden weiter :blush:
-
Ich habe hier eine übersicht mit Beispiel und dem export:
<xml xmlns="https://developers.google.com/blockly/xml"> <variables> <variable id="LfiUSz-w5]D.G6Ak/y2e">id</variable> <variable id="$mcGKjxdKw)k_50}qNIe">Name</variable> <variable id="(k_r{s{0[,uYi4T_X$#L">type</variable> <variable id="UUvU!puSSzK/c])G!9kP">init</variable> <variable id="lY8-+lZ_0InQ@{{HF9Z0">common</variable> </variables> <block type="comment" id="v_tv;-V],:3dC|KK,+0H" x="62" y="-112"> <field name="COMMENT">Beispiel: erstelle Struktur!</field> </block> <block type="procedures_defcustomnoreturn" id="JR|$]lz%;.#aZJ4SpaLs" x="63" y="-62"> <mutation statements="false"> <arg name="id" varid="LfiUSz-w5]D.G6Ak/y2e"></arg> <arg name="Name" varid="$mcGKjxdKw)k_50}qNIe"></arg> <arg name="type" varid="(k_r{s{0[,uYi4T_X$#L"></arg> </mutation> <field name="NAME">createObject</field> <field name="SCRIPT">aWYoZXhpc3RzT2JqZWN0KGlkKSA9PT0gZmFsc2UpIHsNCiAgIGNvbnN0IG9iaiA9IHsNCiAgICAgIHR5cGU6IHR5cGUsDQogICAgICBjb21tb246IHtuYW1lOiBOYW1lfSwNCiAgICAgIG5hdGl2ZToge30NCiAgIH07DQogICBzZXRPYmplY3QoaWQsIG9iaik7DQp9</field> <comment pinned="false" h="80" w="160">Beschreibe diese Funktion …</comment> </block> <block type="procedures_callcustomnoreturn" id="vAB{{mVjCQJ!8#??9=Yv" x="62" y="13"> <mutation name="createObject"> <arg name="id"></arg> <arg name="Name"></arg> <arg name="type"></arg> </mutation> <value name="ARG0"> <block type="text" id="1}xLocpB~=/T8UF0rOtV"> <field name="TEXT">0_userdata.0.Eigene_Objekte_TEST</field> </block> </value> <value name="ARG1"> <block type="text" id="x0Z`IhO^?O^Xjugfg)^r"> <field name="TEXT">Hier solten eigene Objekte angelegt werden</field> </block> </value> <value name="ARG2"> <block type="text" id="];A~I~Iu_Bvo3zU@TvFs"> <field name="TEXT">folder</field> </block> </value> <next> <block type="procedures_callcustomnoreturn" id="a,xCOypc+jYj*/m+`pHH"> <mutation name="createObject"> <arg name="id"></arg> <arg name="Name"></arg> <arg name="type"></arg> </mutation> <value name="ARG0"> <block type="text" id="KQse/m:qnU{L3=]o$~Oh"> <field name="TEXT">0_userdata.0.Eigene_Objekte_TEST.lampen</field> </block> </value> <value name="ARG1"> <block type="text" id="a80aUMb-3Si1avx1}wn4"> <field name="TEXT">Übersicht aller Lampen</field> </block> </value> <value name="ARG2"> <block type="text" id="q_^90iUY[Qof+Hg,/vG="> <field name="TEXT">device</field> </block> </value> <next> <block type="procedures_callcustomnoreturn" id="?hgrd_seNBhCDwj`R?iV"> <mutation name="createObject"> <arg name="id"></arg> <arg name="Name"></arg> <arg name="type"></arg> </mutation> <value name="ARG0"> <block type="text" id="UZ!.oytWIG@$p,U}Ytz["> <field name="TEXT">0_userdata.0.Eigene_Objekte_TEST.lampen.küchenLampe</field> </block> </value> <value name="ARG1"> <block type="text" id="R%[^-_c6G+{Q019ywz/Q"> <field name="TEXT">Übersicht Küchenlampe</field> </block> </value> <value name="ARG2"> <block type="text" id="eO|JkOJ~iw4Thw2!Nl5_"> <field name="TEXT">channel</field> </block> </value> </block> </next> </block> </next> </block> <block type="comment" id="ip#vELLdxEZ71[I(hkg1" x="62" y="412"> <field name="COMMENT">Beispiel: erstelle Datenpunkt in dieser Struktur!</field> </block> <block type="procedures_defcustomnoreturn" id="gJ[9+,egE[AS4K(1@x$b" x="63" y="463"> <mutation statements="false"> <arg name="id" varid="LfiUSz-w5]D.G6Ak/y2e"></arg> <arg name="init" varid="UUvU!puSSzK/c])G!9kP"></arg> <arg name="common" varid="lY8-+lZ_0InQ@{{HF9Z0"></arg> </mutation> <field name="NAME">createDatapoint</field> <field name="SCRIPT">aWYoZXhpc3RzU3RhdGUoaWQpID09PSBmYWxzZSkgew0KDQogICAgY3JlYXRlU3RhdGUoaWQsIGluaXQsIEpTT04ucGFyc2UoY29tbW9uKSk7DQoNCn0=</field> <comment pinned="false" h="80" w="160">Beschreibe diese Funktion …</comment> </block> <block type="procedures_callcustomnoreturn" id="WM|LTm`,;Ej;Y:i3idy5" x="63" y="538"> <mutation name="createDatapoint"> <arg name="id"></arg> <arg name="init"></arg> <arg name="common"></arg> </mutation> <value name="ARG0"> <block type="text" id="YwbD/A;~U)U0G[mOh_|!"> <field name="TEXT">0_userdata.0.Eigene_Objekte_TEST.lampen.küchenLampe.lichtAN</field> </block> </value> <value name="ARG1"> <block type="logic_boolean" id="9q)o,H^0D*?gz#W(uYGi"> <field name="BOOL">FALSE</field> </block> </value> <value name="ARG2"> <block type="text" id="xzF$PY~-Jvp.ZN@Hwvmj"> <field name="TEXT">{"type":"boolean","role":"indicator","write":false,"read": true,"name": "Status Licht"}</field> </block> </value> </block> </xml>Ich hoffe das hilft eventuell jemanden weiter :blush:
-
-
@dslraser
Hallo. gibt es für die Icon´s eine Datenbank oder sind sie selbst eerstellt? Und hast du dazu noch etwas in der Funktion angepasst?MfG Raik
@burg_io sagte in [GELÖST] Objekt (type: channel/device) erzeugen?:
@dslraser
Hallo. gibt es für die Icon´s eine Datenbank oder sind sie selbst eerstellt? Und hast du dazu noch etwas in der Funktion angepasst?MfG Raik
<xml xmlns="https://developers.google.com/blockly/xml"> <variables> <variable id="2MW(Q?v%W{m8D-,Y1%.{">id</variable> <variable id="x;Xg_g1MI?r_DvEA)5dO">type</variable> <variable id="C_Au,eH#7[o/l-8kD(aK">Name</variable> <variable id="=ul{KV_W`j,+^^P1(V9:">icon</variable> </variables> <block type="procedures_defcustomnoreturn" id="_KXFhTJGmLuPeL6Ox|Xq" x="13" y="13"> <mutation statements="false"> <arg name="id" varid="2MW(Q?v%W{m8D-,Y1%.{"></arg> <arg name="type" varid="x;Xg_g1MI?r_DvEA)5dO"></arg> <arg name="Name" varid="C_Au,eH#7[o/l-8kD(aK"></arg> <arg name="icon" varid="=ul{KV_W`j,+^^P1(V9:"></arg> </mutation> <field name="NAME">createObject</field> <field name="SCRIPT">aWYoIWV4aXN0c09iamVjdChpZCkpIHsKICAgY29uc3Qgb2JqID0gewogICAgICB0eXBlOiB0eXBlLAogICAgICBjb21tb246IHtuYW1lOiBOYW1lLCBpY29uOiBpY29ufSwKICAgICAgbmF0aXZlOiB7fQogICB9OwogICBzZXRPYmplY3QoaWQsIG9iaik7Cn0=</field> <comment pinned="false" h="80" w="160">Beschreibe diese Funktion …</comment> </block> <block type="procedures_callcustomnoreturn" id="0E#Mut[XP*-FpsAV+@W|" x="13" y="63"> <mutation name="createObject"> <arg name="id"></arg> <arg name="type"></arg> <arg name="Name"></arg> <arg name="icon"></arg> </mutation> <value name="ARG0"> <block type="text" id="wm2qyCgIZRfYw0.*3-s)"> <field name="TEXT">0_userdata.0.Test_Device</field> </block> </value> <value name="ARG1"> <block type="text" id="qQ}xfO|zY_K.HJIDA}GS"> <field name="TEXT">device</field> </block> </value> <value name="ARG2"> <block type="text" id="=_DNLLM{5ubAcfRYaLcz"> <field name="TEXT">Test</field> </block> </value> <value name="ARG3"> <block type="text" id="/1z-wJA.I]r;Src0uBUX"> <field name="TEXT">data:image/png;base64,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</field> </block> </value> </block> </xml>Base64 erstelle ich hier
https://www.base64-image.de/Beispiel (auf </> show code klicken)
-
@burg_io sagte in [GELÖST] Objekt (type: channel/device) erzeugen?:
@dslraser
Hallo. gibt es für die Icon´s eine Datenbank oder sind sie selbst eerstellt? Und hast du dazu noch etwas in der Funktion angepasst?MfG Raik
<xml xmlns="https://developers.google.com/blockly/xml"> <variables> <variable id="2MW(Q?v%W{m8D-,Y1%.{">id</variable> <variable id="x;Xg_g1MI?r_DvEA)5dO">type</variable> <variable id="C_Au,eH#7[o/l-8kD(aK">Name</variable> <variable id="=ul{KV_W`j,+^^P1(V9:">icon</variable> </variables> <block type="procedures_defcustomnoreturn" id="_KXFhTJGmLuPeL6Ox|Xq" x="13" y="13"> <mutation statements="false"> <arg name="id" varid="2MW(Q?v%W{m8D-,Y1%.{"></arg> <arg name="type" varid="x;Xg_g1MI?r_DvEA)5dO"></arg> <arg name="Name" varid="C_Au,eH#7[o/l-8kD(aK"></arg> <arg name="icon" varid="=ul{KV_W`j,+^^P1(V9:"></arg> </mutation> <field name="NAME">createObject</field> <field name="SCRIPT">aWYoIWV4aXN0c09iamVjdChpZCkpIHsKICAgY29uc3Qgb2JqID0gewogICAgICB0eXBlOiB0eXBlLAogICAgICBjb21tb246IHtuYW1lOiBOYW1lLCBpY29uOiBpY29ufSwKICAgICAgbmF0aXZlOiB7fQogICB9OwogICBzZXRPYmplY3QoaWQsIG9iaik7Cn0=</field> <comment pinned="false" h="80" w="160">Beschreibe diese Funktion …</comment> </block> <block type="procedures_callcustomnoreturn" id="0E#Mut[XP*-FpsAV+@W|" x="13" y="63"> <mutation name="createObject"> <arg name="id"></arg> <arg name="type"></arg> <arg name="Name"></arg> <arg name="icon"></arg> </mutation> <value name="ARG0"> <block type="text" id="wm2qyCgIZRfYw0.*3-s)"> <field name="TEXT">0_userdata.0.Test_Device</field> </block> </value> <value name="ARG1"> <block type="text" id="qQ}xfO|zY_K.HJIDA}GS"> <field name="TEXT">device</field> </block> </value> <value name="ARG2"> <block type="text" id="=_DNLLM{5ubAcfRYaLcz"> <field name="TEXT">Test</field> </block> </value> <value name="ARG3"> <block type="text" id="/1z-wJA.I]r;Src0uBUX"> <field name="TEXT">data:image/png;base64,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</field> </block> </value> </block> </xml>Base64 erstelle ich hier
https://www.base64-image.de/Beispiel (auf </> show code klicken)
-
@paul53 sagte in [GELÖST] Objekt (type: channel/device) erzeugen?:
Das funktioniert zwar, korrekt aber so:
Danke. Ich habe es berichtigt und ausgetauscht.
-
@burg_io sagte in [GELÖST] Objekt (type: channel/device) erzeugen?:
@dslraser
Hallo. gibt es für die Icon´s eine Datenbank oder sind sie selbst eerstellt? Und hast du dazu noch etwas in der Funktion angepasst?MfG Raik
<xml xmlns="https://developers.google.com/blockly/xml"> <variables> <variable id="2MW(Q?v%W{m8D-,Y1%.{">id</variable> <variable id="x;Xg_g1MI?r_DvEA)5dO">type</variable> <variable id="C_Au,eH#7[o/l-8kD(aK">Name</variable> <variable id="=ul{KV_W`j,+^^P1(V9:">icon</variable> </variables> <block type="procedures_defcustomnoreturn" id="_KXFhTJGmLuPeL6Ox|Xq" x="13" y="13"> <mutation statements="false"> <arg name="id" varid="2MW(Q?v%W{m8D-,Y1%.{"></arg> <arg name="type" varid="x;Xg_g1MI?r_DvEA)5dO"></arg> <arg name="Name" varid="C_Au,eH#7[o/l-8kD(aK"></arg> <arg name="icon" varid="=ul{KV_W`j,+^^P1(V9:"></arg> </mutation> <field name="NAME">createObject</field> <field name="SCRIPT">aWYoIWV4aXN0c09iamVjdChpZCkpIHsKICAgY29uc3Qgb2JqID0gewogICAgICB0eXBlOiB0eXBlLAogICAgICBjb21tb246IHtuYW1lOiBOYW1lLCBpY29uOiBpY29ufSwKICAgICAgbmF0aXZlOiB7fQogICB9OwogICBzZXRPYmplY3QoaWQsIG9iaik7Cn0=</field> <comment pinned="false" h="80" w="160">Beschreibe diese Funktion …</comment> </block> <block type="procedures_callcustomnoreturn" id="0E#Mut[XP*-FpsAV+@W|" x="13" y="63"> <mutation name="createObject"> <arg name="id"></arg> <arg name="type"></arg> <arg name="Name"></arg> <arg name="icon"></arg> </mutation> <value name="ARG0"> <block type="text" id="wm2qyCgIZRfYw0.*3-s)"> <field name="TEXT">0_userdata.0.Test_Device</field> </block> </value> <value name="ARG1"> <block type="text" id="qQ}xfO|zY_K.HJIDA}GS"> <field name="TEXT">device</field> </block> </value> <value name="ARG2"> <block type="text" id="=_DNLLM{5ubAcfRYaLcz"> <field name="TEXT">Test</field> </block> </value> <value name="ARG3"> <block type="text" id="/1z-wJA.I]r;Src0uBUX"> <field name="TEXT">data:image/png;base64,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</field> </block> </value> </block> </xml>Base64 erstelle ich hier
https://www.base64-image.de/Beispiel (auf </> show code klicken)
Support us
842
Online32.4k
Users81.5k
Topics1.3m
Posts
ioBroker Community 2014-2025
