Créer un composite multi-états en fonction d'une variable

[MatthM2I]

Bonjour,

Je souhaite réaliser un composite multi-images a partir d'une variable analogique

Par exemple: En fonction d'une sortie PID 0-100%, je voudrais avoir plusieurs images qui représentent une Vanne 3 voies qui s'ouvre avec Valeur=0% -> image 1 / 0<Valeur<=10% -> Image 2 / etc...

J'ai commencé à éditer ce composite, mais impossible de le faire fonctionner:

SYNAPPS-STUDIO-COMPOSITE|{"config":{"key":"composite6","name":"Vanne 3 Voies","properties":{"width":"200px"},"additionalDefs":{"img0":{"type":"picture","value":"data:image/png;base64,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"},"img1":{"type":"picture","value":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADgAAABNCAYAAADzaadsAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAAAcKSURBVHhe7ZvrT1NnHMf9J6YIlFJKCy0XkZvl1pZyB4tyEeSOoiD3cp23zBdbvO+Nczqzl8a4TZkmzizLMpeMxe3FdC6abInZizHFiMsy4QWo6HfP7xxPpfZp4UBthZwXn5znnPY85/c5z+33NLAKwIrG7cL5kS/Qt2/YZ/TuHULP7gE49vI/n4/3jx9iYbnGKAe3C0sRbHN0obqpAQWb7MjIzkZaVhas+XmorKtB866daOvr5t7njYAKOljr7OxpR4HdjsRUEyL00VgbEoag4FCEqMKh0eoRFROL+MQkmJhs0eZS9v1O9Lzbz62PhyfBFy9e4OnTp5iamsLMzDRmZ2cxPT2NiYkJPHr0D/uK+D23Gxcq2D3ch8bW7Sgo3Yi4hERoIvUIDlVjzdpQgaBgFTsS4nlImAb66Bgkp6VjS0MduhcoSYIzMzN4/HhSCP6vsb9x9+5d3Lj5K658dRWnTp3GwUOH0T84hMambSgqtuPgwcNMZQmCvXsGsbW5ERnWbGijDEKrSSLzERIWjoTkFGysKENrb4dLvfTSdnS1o2Hndmypr0VZdRWqG2tx+pMzOHzkGBx9A9hcXolUUwZ0UUbo9AaGERG6aISFa50veFNZOVNZpGDP7kFs69gFS14e64JRL1uKLyOx+uXxnSA6hgjd1xC/Dua8XGQX5iM1MxPrUzbAEBvPunSccIxkAmGaSKyl+hkLeY5EqimdqSxSsGPAgcLSTVBrddzKRcTuuZrJkJxwDBLL0ncoYKkbBzEEEelzGTI8qHXHHzxgOjIFqWtWs66ZZDKx4KhbugciSYll8SjJyGmFpRDKxvsPo6NMR6Zge383m1RKoWV9n1cxQYK86/6EZvETJz9mOjIF63Y0I91qlTWpBAKacIaGdzMdmYL2ynLEJqxHMJskeBWL+K8FqcvTy1aFR0AXbURi8gYUFJWgrb0TFy6MMB2ZgqVbKtgAjnFZ7/i8GUnnWGZlGmdJKSZUVtVg3/73cPbsOVy//hPu3b+PmSdPmIroI0uQ0rCwCJ3fJgvpOXSMNsYhr6AI3T0OfHTyFK5cuYpbt37D/fFxTE5O4QmTev78OVNw9XE5IbwJ0iIcqta4BeLO4luQWkdI81hmFBOfgAyLFUeOHseFixdZ9nIT40yI0rNnz56xcF1j5+F2wZsgLROaSG/rn3zELid2u/CISKxLTIYlNxdlNVVCgr7vgwOgvPP1OBeK2wVvgkTc+iQEzzuL8ltQkHkJndM6qWbZSibbeTS27eDmp37fTeQUFrLcL4rNXt4mGhKcI/kyRaNjEGM1nbPMhrp7usXM5Fq4zyL8Lljf0oTUjAyoWXdylXqFkMGQyBpRRoAJOq8zaHrXG2NZ0l2OXV72iX4XpG5U3VjPxkoSV46gTEJsNYLfXekFpZktaGETF+0rec8i/C5IdAz0IK+kGJFsfyeNJznQZGLKzEJdSzO62BaJ9wyJgAgSja0tyC0uhs5gnCezEaEXQXtB2gaZssyoqK1B52Avt+65BEyQ6Bx0oLhsMzaw1qDxJGY4IcL4EvNVsXXpupZNTAlJybDl5wtdfCFyREAFaez07O5HU9tOlDBRc44NyaY0GNkCTTNtqFrLlgGtkCempKWjpHyzsLZ1DTu49fEIqKAE/TTYMdCLVkeXsOMgWfplTVis25nQkPdx5g2fCf576QT+bNLh2zYzznfb3xpGOouEuJ49usfCdBeYD2dBEvQ3N+oNuN0Qxf1sLstOcLTWiLIcCyzWHGRl56E+L8ur6LISpFbLtWYjTKMTf4xihGujsMlmxh+Neu49y0qwpyiNrYexTjmJpOQUfFqexL1nWQlW55pZqqZ3E9QZ4rHfbuLeo7SgB5wFfwr+XGeAjY3B0LAIpxyNx2KbdWWMQeKbrXEosmXDYrbCYrEJMyqJ875LLDtBiWs1MV7FJJat4EJRBD3gLCiCAUYR9ICzoAgGGEXQA86CIhhgFEEPOAsrVvDhwwncvnMHK1bw/GefC/uxyIgIlMaqcCBLg4t2LfchgWTJgjwKjSoMpqtxrkSLW3X8B/uLNyL4Opl6FdpS1DiTr8GPVf5t5UULjnx5GTk5+bAmJyJTp5KFLToUX5f7R9QvLcjDX+NVEfSAIjgfiqCPWLTgd9e+R1l5JezmNGHdk8tbP4tKhbmpGrXKnoxw2dD6+HuDe3C+wGeCtJDzuuJCsUWr3ILzBT4RpHSMF7Rc3kS39YkgpV+8gOVyIlfDDXIpKIIecBYUQRkogotAEfSAs6AIyuCtFJwcHcEveyq4AcvldEMOxg/V+5TZ/yZYmO4C8+FyMjY2xg1YLrRDmVtvIHE5UQQXyFsrSP8MrFK/+uOcxUK/ls+tN5C4Xbh06bLwX128wOdDF2XA0WMfsmpc6wwk3IsrCe7FlQNW/Q/0prnMGziQvAAAAABJRU5ErkJggg=="},"img2":{"type":"picture","value":"data:image/png;base64,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"},"img3":{"type":"picture","value":"data:image/png;base64,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"},"txtValeur":{"type":"number","label":"Mesure","value":0}}},"leadActor":{"type":"layout/stack","key":"stackRoot","children":[{"type":"display/text","key":"textValeur","bindings":{"properties.content":"[email protected]"},"events":{"properties/content/onValueChanged":["return parseFloat(context.utils.isNone(context.value) ? 0 : context.value);"]}},{"type":"display/image","key":"image2","additionalDefs":{"Valeur":{"type":"number"}},"additionals":{"Valeur":0},"properties":{"horizontalAlignment":"expand","verticalAlignment":"expand"},"bindings":{"properties.content":"[email protected]","additionals.Valeur":"actor#[email protected]"},"events":{"properties/content/binding/onReadTransform":["var maValeur = context.value;","var monImage","","if (maValeur = 0) {"," this.properties.monImage = this.stage.properties.img0","};","","if (0 < maValeur < 10) {"," this.properties.monImage = this.stage.properties.img1","};","","if (10 <= maValeur < 20) {"," this.properties.monImage = this.stage.properties.img2","};","","if (20 <= maValeur < 30) {"," this.properties.monImage = this.stage.properties.img3","};","","return monImage;"],"additionals/Valeur/onValueChanged":["return context.utils.isNone(context.value) ? 0 : context.value;"]}}],"properties":{"orientation":"horizontal"}}}

Merci d'avance de votre retour

[Raphwit]

Bonjour, voilà le composite que vous voulez je pense, il faut lier à la valeur de votre PID et conditionner l'affichage de votre image par script presque comme vous l'aviez fait.

SYNAPPS-STUDIO-COMPOSITE|{"config":{"key":"composite6333","name":"Vanne 3 Voies","properties":{"width":"200px"},"additionalDefs":{"img0":{"type":"picture","value":"data:image/png;base64,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"},"img1":{"type":"picture","value":"data:image/png;base64,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"},"img2":{"type":"picture","value":"data:image/png;base64,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"},"img3":{"type":"picture","value":"data:image/png;base64,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"},"myValue":{"type":"number","label":"myValue","value":0,"min":0,"max":100}}},"leadActor":{"type":"layout/stack","key":"stackRoot","children":[{"type":"display/image","key":"image2","additionalDefs":{"Valeur":{"type":"number"}},"additionals":{"Valeur":0},"properties":{"horizontalAlignment":"expand","verticalAlignment":"expand"},"bindings":{"additionals.Valeur":"[email protected]"},"events":{"additionals/Valeur/onValueChanged":["if (context.newValue == 0) {","  this.properties.content = this.stage.properties.img0","}","if (context.newValue > 0 && context.newValue <= 10) {","  this.properties.content = this.stage.properties.img1","}","if (context.newValue > 10 && context.newValue <= 50) {","  this.properties.content = this.stage.properties.img2","}","if (context.newValue > 50 && context.newValue <= 100) {","  this.properties.content = this.stage.properties.img3","}"]}}],"properties":{"orientation":"horizontal"}}}

Attention cependant, j'ai remarqué que vos images n'ont pas toutes la même taille ce qui peut gêner pour le reste de l'interface, il vous faudrait soit agrandir les images à la tailles de celles qui prend le plus de place ou alors prévoir l'espace nécessaire pour permettre un affichage correct

[MatthM2I]

Parfait! Ca fonctionne
Merci beaucoup de rapidité de réponse!