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pi.py

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  • json.js 7.21 KiB
    function initEditor(){
    
        // todo ?? move template creation to separate files
        var templates = [
            {
                text:"DEM simulation node",
                title: 'Insert prediction viewer',
                className: 'jsoneditor-type-object',
                field: 'voxel',
                value: {
                    name:"prediction",
                    size:5,
                    E:20000,
                    area:10.0
                }
            },
            {
                text: 'MNIST',
                title: 'Insert a MNIST dataset',
                className: 'jsoneditor-type-object',
                field: 'cnn',
                value: {
                    name:"MNIST",
                    imageSize:"(28,28)",
                    numDatasets:65000,
                    numTraining:55000,
                    numTest:65000-55000,
                    parent: 'CNN',
                    classes: 'input',
                    outputNeigh:-1 //0:x+1,1:x-1,2:y+1,3:y-1,4:z+1,5:z-1,
                }
            },
            {
                text:"conv2d",
                title: 'Insert a 3d convolutionsl layer',
                className: 'jsoneditor-type-object',
                field: 'cnn',
                value: {
                name:"conv2d_Conv2D1",
                    inputShape:"(batch,28,28,1)",
                    kernelSize:5,
                    filters:8,
                    strides:1,
                    activation: 'relu',
                    kernelInitializer: 'varianceScaling',
                    outputShape:"(batch,24,24,8)",
                    numParams:208,
                    Trainable:true,
                    parent: 'CNN',
                    classes: 'layers',
                    outputNeigh:-1 //0:x+1,1:x-1,2:y+1,3:y-1,4:z+1,5:z-1,
                }
            },
            {
                text:"testImage",
                title: 'Insert a test Image',
                className: 'jsoneditor-type-object',
                field: 'cnn',
                value: {
                    name:"testImage",
                    imageSize:"(1,28,28)",
                    parent: 'CNN',
                    classes: 'viz',
                    outputNeigh:-1 //0:x+1,1:x-1,2:y+1,3:y-1,4:z+1,5:z-1,
                }
            },
            {
                text:"max_pooling2d",
                title: 'Insert a 2d max pooling layer',
                className: 'jsoneditor-type-object',
                field: 'cnn',
                value: {
                    name:"max_pooling2d_MaxPooling2D1",
                    inputShape:"(batch,24,24,8)",
                    poolSize:"[2,2]",
                    strides:"[2,2]",
                    outputShape:"(batch,12,12,8)",
                    numParams:0,
                    Trainable:true,
                    parent: 'CNN',
                    classes: 'layers',
                    outputNeigh:-1 //0:x+1,1:x-1,2:y+1,3:y-1,4:z+1,5:z-1,
                }
            
            },
            {
                text:"flatten",
                title: 'flattern layer',
                className: 'jsoneditor-type-object',
                field: 'cnn',
                value: {
                    name:"flatten_Flatten1",
                    inputShape:"(batch,4,4,16)",
                    outputShape:"(batch,256)",
                    numParams:0,
                    Trainable:true,
                    parent: 'CNN',
                    classes: 'layers',
                    outputNeigh:-1 //0:x+1,1:x-1,2:y+1,3:y-1,4:z+1,5:z-1,
                }
            
            },
            {
                text:"dense",
                title: 'Insert a fully connected layer',
                className: 'jsoneditor-type-object',
                field: 'cnn',
                value: {
                    name:"dense_Dense1",
                    inputShape:"(batch,256)",
                    kernelInitializer: 'varianceScaling',
                    activation: 'softmax',
                    outputShape:"(batch,10)",
                    numParams:2570,
                    Trainable:true,
                    parent: 'CNN',
                    classes: 'layers',
                    outputNeigh:-1 //0:x+1,1:x-1,2:y+1,3:y-1,4:z+1,5:z-1,
                }
            
            },
            {
                text:"loss_categoricalCrossentropy",
                title: 'Insert a categoricalCrossentropy loss layer',
                className: 'jsoneditor-type-object',
                field: 'cnn',
                value: {
                    name:"loss_categoricalCrossentropy",
                    metrics: ['accuracy'],
                    parent: 'CNN',
                    classes: 'loss',
                    outputNeigh:-1 //0:x+1,1:x-1,2:y+1,3:y-1,4:z+1,5:z-1,
                }
            
            },
            {
                text:"prediction",
                title: 'Insert prediction viewer',
                className: 'jsoneditor-type-object',
                field: 'cnn',
                value: {
                    name:"prediction",
                    parent: 'CNN',
                    classes: 'output',
                    outputNeigh:-1 //0:x+1,1:x-1,2:y+1,3:y-1,4:z+1,5:z-1,
                }
            }
    
        ];
    
        var schema = {
            "title": "Example Schema",
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "firstName": {
                  "type": "string"
                },
                "lastName": {
                  "type": "string"
                },
                "gender": {
                  "enum": ["male", "female"]
                },
                "age": {
                  "description": "Age in years",
                  "type": "integer",
                  "minimum": 0
                },
                "job": {
                  "$ref": "job"
                }
              },
              "required": ["firstName", "lastName"]
            }
        };
      
        var job = {
            "title": "Job description",
            "type": "object",
            "properties": {
                "company": {
                "type": "string"
                },
                "role": {
                "type": "string"
                }
            }
        };
    
    
        // create the editor
        var container = document.getElementById('jsoneditor');
        var options = {
            // schema: schema,
            // schemaRefs: {"job": job},
            templates: templates,
            onChangeText: function (jsonString) {
                // console.log(jsonString);
                // const json = editor.get();
                var json=JSON.parse(jsonString);
                if(json.ur10Setup === undefined){
                    GLOBALS.updateNode(json);
                }else{
                    integratedSetup=json; //todo remove from here
                }
                
            }
        };
        GLOBALS.editor = new JSONEditor(container, options);
    
        document.addEventListener('selectNode', function (e) { 
            GLOBALS.editor.set(GLOBALS.selectedjson);
        }, false);
    
        document.addEventListener('selectEdge', function (e) { 
            GLOBALS.editor.set(GLOBALS.selectedjson);
        }, false);
    
        // get json //set info
        // document.getElementById('getJSON').onclick = function () {
        //     var json = GLOBALS.editor.get();
        //     // alert(JSON.stringify(json, null, 2));
        //     GLOBALS.updateNode(json);
        // };
    
        // GLOBALS.editor.on('onChangeJson',function() {
        //     console.log("hiii");
        // });
    
        // GLOBALS.editor.onChangeJson= function(json){
        //     // console.log(json);
        //     console.log("hiii");
        // };
    
        // GLOBALS.document.addEventListener('onChangeJson', function (e) { 
        //     console.log("hissssii");
        // }, false);
    
    }