Commit d7b2e68667afc951281db48367f5dfaff0bd55e2
1 parent
9d5a9b01
Remove DALi Toy as it no longer compiles & refs to ShaderEffect
Change-Id: I650cb43c8a5ad685f62422f5b1977f8dec5e4033
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README.md
| ... | ... | @@ -12,7 +12,6 @@ |
| 12 | 12 | * [SMACK enabled Targets](#smack-enabled-targets) |
| 13 | 13 | * [DEBUG Builds](#debug-builds-1) |
| 14 | 14 | * [Creating an example](#creating-an-example) |
| 15 | - * [Installing Emscripten Examples](#installing-emscripten-examples) | |
| 16 | 15 | |
| 17 | 16 | # Build Instructions |
| 18 | 17 | |
| ... | ... | @@ -65,15 +64,3 @@ Before running make install as normal: |
| 65 | 64 | - Add all source files for the required example in this directory. |
| 66 | 65 | - Modify "com.samsung.dali-demo.xml" to include your example so that it can be launched on target. |
| 67 | 66 | - No changes are required to the make system as long as the above is followed, your example will be automatically built & installed. |
| 68 | - | |
| 69 | -# Installing Emscripten Examples | |
| 70 | - | |
| 71 | -Some Emscripten Javascript examples are included in dali-demo. | |
| 72 | - | |
| 73 | -They do not require building, to install them run the provided install script. | |
| 74 | -Note: Your dali-env must be setup as it will install to your dali-env/opt/share/emscripten directory. | |
| 75 | - | |
| 76 | - $ cd ./emscripten-examples | |
| 77 | - $ ./install.sh | |
| 78 | - | |
| 79 | -Run the examples by either opening them in a browser, or, running the browser from the command line with an example as a parameter. | ... | ... |
emscripten-examples/dali-doc-demo.html deleted
| 1 | -<html> | |
| 2 | - <head> | |
| 3 | - </head> | |
| 4 | - <body> | |
| 5 | - <script> | |
| 6 | - function native2ascii(str) { | |
| 7 | - "use strict"; | |
| 8 | - // really this function allows only GLSL permittable chars | |
| 9 | - var out = ""; | |
| 10 | - for (var i = 0; i < str.length; i++) { | |
| 11 | - if ( 0x20 <= str.charCodeAt(i) && str.charCodeAt(i) <= 0x7E) { | |
| 12 | - // normal characters | |
| 13 | - out += str.charAt(i); | |
| 14 | - } else if( 0x9 <= str.charCodeAt(i) && str.charCodeAt(i) <= 0xD) { | |
| 15 | - // new lines and tabs | |
| 16 | - out += str.charAt(i); | |
| 17 | - } | |
| 18 | - } | |
| 19 | - return out; | |
| 20 | - } | |
| 21 | - | |
| 22 | - function clearAndEval(code) { | |
| 23 | - "use strict"; | |
| 24 | - var ascii = native2ascii(code); | |
| 25 | - clear(); | |
| 26 | - // as of ecma5 an indirect call like this is in global scope | |
| 27 | - var globalEval = eval; | |
| 28 | - globalEval(ascii); | |
| 29 | - }; | |
| 30 | - | |
| 31 | - function getEmbeddedImage() { | |
| 32 | - "use strict"; | |
| 33 | - // name is presumed to be in the html as base64 data | |
| 34 | - var doc = document; | |
| 35 | - var c = doc.createElement("canvas"); | |
| 36 | - var img = doc.getElementById("testImage"); | |
| 37 | - c.width = img.naturalWidth; | |
| 38 | - c.height = img.naturalHeight; | |
| 39 | - var context = c.getContext("2d"); | |
| 40 | - context.drawImage(img, 0, 0 ); | |
| 41 | - var imageData = context.getImageData(0, 0, img.naturalWidth, img.naturalHeight); // <-ImageData | |
| 42 | - var uint8clampedarray = new Uint8ClampedArray(imageData.data); | |
| 43 | - var uint8array = new Uint8Array(uint8clampedarray); | |
| 44 | - var image = new dali.BufferImage(uint8array, imageData.width, imageData.height, dali.PixelFormat.RGBA8888); | |
| 45 | - return image; | |
| 46 | - } | |
| 47 | - | |
| 48 | - function createExampleColorActor() { | |
| 49 | - var halfQuadSize = 0.5; | |
| 50 | - var verts = dali.createPropertyBuffer( {format: [ ["aPosition", dali.PropertyType.VECTOR3], | |
| 51 | - ["aCol", dali.PropertyType.VECTOR4] ], | |
| 52 | - data: { "aPosition": [ [-halfQuadSize, -halfQuadSize, 0.0], | |
| 53 | - [+halfQuadSize, -halfQuadSize, 0.0], | |
| 54 | - [-halfQuadSize, +halfQuadSize, 0.0], | |
| 55 | - [+halfQuadSize, +halfQuadSize, 0.0] | |
| 56 | - ], | |
| 57 | - "aCol": [ [0, 0, 0, 1], | |
| 58 | - [1, 0, 1, 1], | |
| 59 | - [0, 1, 0, 1], | |
| 60 | - [1, 1, 1, 1] | |
| 61 | - ] | |
| 62 | - } | |
| 63 | - }); | |
| 64 | - | |
| 65 | - var indices = dali.createPropertyBuffer( { format: [ ["indices", dali.PropertyType.INTEGER]], | |
| 66 | - data: { "indices": [0, 3, 1, 0, 2, 3] } } ) ; | |
| 67 | - | |
| 68 | - var geometry = new dali.Geometry(); | |
| 69 | - geometry.addVertexBuffer(verts); | |
| 70 | - geometry.setIndexBuffer(indices); | |
| 71 | - | |
| 72 | - var vertex = "" + | |
| 73 | - "attribute mediump vec3 aPosition;" + | |
| 74 | - "attribute mediump vec4 aCol;" + | |
| 75 | - "uniform mediump mat4 uMvpMatrix;" + | |
| 76 | - "uniform mediump vec3 uSize;" + | |
| 77 | - "uniform lowp vec4 uColor;" + | |
| 78 | - "varying lowp vec4 vColor;" + | |
| 79 | - "" + | |
| 80 | - "void main()" + | |
| 81 | - "{" + | |
| 82 | - " vColor = aCol * uColor;" + | |
| 83 | - " mediump vec4 vertexPosition = vec4(aPosition,1.0);" + | |
| 84 | - " vertexPosition.xyz *= uSize;" + | |
| 85 | - " gl_Position = uMvpMatrix * vertexPosition;" + | |
| 86 | - "}"; | |
| 87 | - | |
| 88 | - var fragment = "" + | |
| 89 | - "varying lowp vec4 vColor;" + | |
| 90 | - "uniform lowp vec4 uColor;" + | |
| 91 | - "" + | |
| 92 | - "void main()" + | |
| 93 | - "{" + | |
| 94 | - " gl_FragColor = vColor * uColor;" + | |
| 95 | - "}"; | |
| 96 | - | |
| 97 | - var shader = new dali.Shader(vertex, fragment, dali.ShaderHints.HINT_NONE); | |
| 98 | - var material = new dali.Material(shader); | |
| 99 | - var renderer = new dali.Renderer(geometry, material); | |
| 100 | - var actor = new dali.Actor(); | |
| 101 | - actor.addRenderer(renderer); | |
| 102 | - return actor; | |
| 103 | - } | |
| 104 | - | |
| 105 | - // Currently no toolkit, so no image actor so we create from scratch | |
| 106 | - function createExampleImageActor() { | |
| 107 | - var halfQuadSize = 0.5; | |
| 108 | - var verts = dali.createPropertyBuffer( {format: [ ["aPosition", dali.PropertyType.VECTOR3], | |
| 109 | - ["aTexCoord", dali.PropertyType.VECTOR2] ], | |
| 110 | - data: { "aPosition": [ [-halfQuadSize, -halfQuadSize, 0.0], | |
| 111 | - [+halfQuadSize, -halfQuadSize, 0.0], | |
| 112 | - [-halfQuadSize, +halfQuadSize, 0.0], | |
| 113 | - [+halfQuadSize, +halfQuadSize, 0.0] | |
| 114 | - ], | |
| 115 | - "aTexCoord": [ [0, 0], | |
| 116 | - [1, 0], | |
| 117 | - [0, 1], | |
| 118 | - [1, 1] | |
| 119 | - ] | |
| 120 | - } | |
| 121 | - }); | |
| 122 | - | |
| 123 | - var indices = dali.createPropertyBuffer( { format: [ ["indices", dali.PropertyType.INTEGER]], | |
| 124 | - data: { "indices": [0, 3, 1, 0, 2, 3] } } ) ; | |
| 125 | - var geometry = new dali.Geometry(); | |
| 126 | - geometry.addVertexBuffer(verts); | |
| 127 | - geometry.setIndexBuffer(indices); | |
| 128 | - | |
| 129 | - var vertex = "" + | |
| 130 | - "// atributes\n" + | |
| 131 | - "attribute mediump vec3 aPosition;" + | |
| 132 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 133 | - "// inbuilt\n" + | |
| 134 | - "uniform mediump mat4 uMvpMatrix;" + | |
| 135 | - "uniform mediump vec3 uSize;" + | |
| 136 | - "uniform lowp vec4 uColor;" + | |
| 137 | - "// varying\n" + | |
| 138 | - "varying mediump vec2 vTexCoord;\n" + | |
| 139 | - "" + | |
| 140 | - "void main()" + | |
| 141 | - "{" + | |
| 142 | - " mediump vec4 vertexPosition = vec4(aPosition, 1.0);" + | |
| 143 | - " vertexPosition.xyz *= uSize;" + | |
| 144 | - " gl_Position = uMvpMatrix * vertexPosition;" + | |
| 145 | - " vTexCoord = aTexCoord;\n" + | |
| 146 | - "}"; | |
| 147 | - | |
| 148 | - var fragment = "" + | |
| 149 | - "uniform lowp vec4 uColor;" + | |
| 150 | - "uniform sampler2D sTexture;\n" + | |
| 151 | - "varying mediump vec2 vTexCoord;\n" + | |
| 152 | - "\n" + | |
| 153 | - "void main()" + | |
| 154 | - "{" + | |
| 155 | - " gl_FragColor = texture2D(sTexture, vTexCoord) * uColor;\n" + | |
| 156 | - "}"; | |
| 157 | - | |
| 158 | - var shader = new dali.Shader(vertex, fragment, dali.ShaderHints.HINT_NONE); | |
| 159 | - var material = new dali.Material(shader); | |
| 160 | - var image = getEmbeddedImage() ; | |
| 161 | - var sampler = new dali.Sampler(); | |
| 162 | - material.addTexture(image, "sTexture", sampler); | |
| 163 | - var renderer = new dali.Renderer(geometry, material); | |
| 164 | - var actor = new dali.Actor(); | |
| 165 | - actor.addRenderer(renderer); | |
| 166 | - return actor; | |
| 167 | - } | |
| 168 | - </script> | |
| 169 | - | |
| 170 | - <h1>Dali Docs (Live Example)</h1> | |
| 171 | - <div id="canvas-anchor"></div> | |
| 172 | - <div class="emscripten" id="status"> | |
| 173 | - Downloading... | |
| 174 | - </div> | |
| 175 | - <!-- we can only have one canvas per page, so make it float off to the right --> | |
| 176 | - <canvas class="emscripten" id="canvas" oncontextmenu="event.preventDefault()" width="300" height="400" style="background-color: black;float:right;position:fixed;right:0"></canvas> | |
| 177 | - | |
| 178 | - <script type="text/javascript"> // emscripten | |
| 179 | - | |
| 180 | - var statusElement = document.getElementById('status'); | |
| 181 | - | |
| 182 | - var Module = { | |
| 183 | - doNotCaptureKeyboard:true, | |
| 184 | - preRun: [], | |
| 185 | - postRun: [], | |
| 186 | - print: (function() { | |
| 187 | - var element = document.getElementById('output'); | |
| 188 | - if (element) element.value = ''; // clear browser cache | |
| 189 | - return function(text) { | |
| 190 | - text = Array.prototype.slice.call(arguments).join(' '); | |
| 191 | - // These replacements are necessary if you render to raw HTML | |
| 192 | - //text = text.replace(/&/g, "&"); | |
| 193 | - //text = text.replace(/</g, "<"); | |
| 194 | - //text = text.replace(/>/g, ">"); | |
| 195 | - //text = text.replace('\n', '<br>', 'g'); | |
| 196 | - console.log("STDOUT:", text); | |
| 197 | - if (element) { | |
| 198 | - element.value += text + "\n"; | |
| 199 | - element.scrollTop = element.scrollHeight; // focus on bottom | |
| 200 | - } | |
| 201 | - }; | |
| 202 | - })(), | |
| 203 | - printErr: function(text) { | |
| 204 | - text = Array.prototype.slice.call(arguments).join(' '); | |
| 205 | - if (0) { // XXX disabled for safety typeof dump == 'function') { | |
| 206 | - dump(text + '\n'); // fast, straight to the real console | |
| 207 | - } else { | |
| 208 | - console.error("STDERR:", text); | |
| 209 | - } | |
| 210 | - }, | |
| 211 | - canvas: document.getElementById('canvas'), | |
| 212 | - setStatus: function(text) { | |
| 213 | - if (!Module.setStatus.last) Module.setStatus.last = { time: Date.now(), text: '' }; | |
| 214 | - if (text === Module.setStatus.text) return; | |
| 215 | - statusElement.innerHTML = text; | |
| 216 | - }, | |
| 217 | - totalDependencies: 0, | |
| 218 | - monitorRunDependencies: function(left) { | |
| 219 | - this.totalDependencies = Math.max(this.totalDependencies, left); | |
| 220 | - Module.setStatus(left ? 'Preparing... (' + (this.totalDependencies-left) + '/' + this.totalDependencies + ')' : 'All downloads complete.'); | |
| 221 | - }, | |
| 222 | - | |
| 223 | - postRun: function () { | |
| 224 | - // postRun; so that dali-emscripten.js is loaded first | |
| 225 | - // (postMainLoop to run all the time) | |
| 226 | - var s = document.createElement("script"); | |
| 227 | - s.src = "dali-wrapper.js"; | |
| 228 | - document.body.appendChild(s); | |
| 229 | - }, | |
| 230 | - | |
| 231 | - postDaliWrapperRunFunctions: [], // list of functions to run on postDaliWrapperRun() | |
| 232 | - | |
| 233 | - postDaliWrapperRun: function() { | |
| 234 | - for(var i = 0; i < Module.postDaliWrapperRunFunctions.length; i++) { | |
| 235 | - Module.postDaliWrapperRunFunctions[i](); | |
| 236 | - } | |
| 237 | - } | |
| 238 | - }; // Module | |
| 239 | - | |
| 240 | - Module.setStatus('Downloading...'); | |
| 241 | - window.onerror = function() { | |
| 242 | - Module.setStatus('Exception thrown, see JavaScript console'); | |
| 243 | - Module.setStatus = function(text) { | |
| 244 | - if (text) Module.printErr('[post-exception status] ' + text); | |
| 245 | - }; | |
| 246 | - }; | |
| 247 | - | |
| 248 | - </script> | |
| 249 | - | |
| 250 | - <!-- load dali-emscripten.js. Then use dali-emscripten.js::postRun callback function (see postRun above) --> | |
| 251 | - <script async type="text/javascript" src="dali-emscripten.js"></script> | |
| 252 | - | |
| 253 | - <h3>Positioning Actors</h3> | |
| 254 | - <p>An actor inherits its parent's position. The relative position between the actor & parent is determined by 3 properties:</p> | |
| 255 | - <ol> | |
| 256 | - <li>PositionExample. This Vector3 property defines a point relative to the parent actor's area.</li> | |
| 257 | - </ol> | |
| 258 | - <p>The default is "top-left", which can be visualized in 2D as (0, 0), but is actually Vector3(0, 0, 0.5) in the 3D DALi world. The actor's position is relative to this point.</p> | |
| 259 | - <pre class="code prettyprint"><code>// to change parent origin to the centre | |
| 260 | -myActor.positionExample = [0.5, 0.5, 0.5]; | |
| 261 | - </code></pre> | |
| 262 | - <script> | |
| 263 | - | |
| 264 | - var PositionExample = function() { | |
| 265 | - | |
| 266 | - var self = this; | |
| 267 | - | |
| 268 | - this.init = function() { | |
| 269 | - self.parent = createExampleColorActor(); | |
| 270 | - self.parent.position = [0.0, 0.0, 0.0]; | |
| 271 | - self.parent.parentOrigin = [0.5, 0.5, 0.5]; | |
| 272 | - self.parent.size = [100,100,1]; | |
| 273 | - dali.stage.add(self.parent); | |
| 274 | - | |
| 275 | - self.actor = createExampleImageActor(); | |
| 276 | - self.actor.position = [0.0, 0.0, 1.0]; | |
| 277 | - self.actor.size = [25,25,1]; | |
| 278 | - self.actor.parentOrigin = [0.0, 0.0, 0.0]; | |
| 279 | - self.parent.add(self.actor); | |
| 280 | - }; | |
| 281 | - | |
| 282 | - this.setParentVector3 = function(propertyName) { | |
| 283 | - var x = Number(document.getElementById("parentX-" + propertyName).value); | |
| 284 | - var y = Number(document.getElementById("parentY-" + propertyName).value); | |
| 285 | - var z = Number(document.getElementById("parentZ-" + propertyName).value); | |
| 286 | - self.parent[propertyName] = [x,y,z]; | |
| 287 | - }; | |
| 288 | - | |
| 289 | - this.setActorVector3 = function(propertyName) { | |
| 290 | - var x = Number(document.getElementById("actorX-" + propertyName).value); | |
| 291 | - var y = Number(document.getElementById("actorY-" + propertyName).value); | |
| 292 | - var z = Number(document.getElementById("actorZ-" + propertyName).value); | |
| 293 | - self.actor[propertyName] = [x,y,z]; | |
| 294 | - }; | |
| 295 | - }; | |
| 296 | - | |
| 297 | - var positionExample = new PositionExample(); | |
| 298 | - | |
| 299 | - Module.postDaliWrapperRunFunctions.push(positionExample.init); | |
| 300 | - | |
| 301 | - </script> | |
| 302 | - <input type="button" value="[0.0, 0.0, 0.0]" onclick="positionExample.actor.parentOrigin = [0.0, 0.0, 0.0];"/> | |
| 303 | - <input type="button" value="[0.5, 0.0, 0.5]" onclick="positionExample.actor.parentOrigin = [0.5, 0.0, 0.5];"/> | |
| 304 | - <input type="button" value="[1.0, 0.0, 0.5]" onclick="positionExample.actor.parentOrigin = [1.0, 0.0, 0.5];"/> | |
| 305 | - <br> | |
| 306 | - <input type="button" value="[0.0, 0.5, 0.5]" onclick="positionExample.actor.parentOrigin = [0.0, 0.5, 0.5];"/> | |
| 307 | - <input type="button" value="[0.5, 0.5, 0.5]" onclick="positionExample.actor.parentOrigin = [0.5, 0.5, 0.5];"/> | |
| 308 | - <input type="button" value="[1.0, 0.5, 0.5]" onclick="positionExample.actor.parentOrigin = [1.0, 0.5, 0.5];"/> | |
| 309 | - <br> | |
| 310 | - <input type="button" value="[0.0, 1.0, 0.5]" onclick="positionExample.actor.parentOrigin = [0.0, 1.0, 0.5];"/> | |
| 311 | - <input type="button" value="[0.5, 1.0, 0.5]" onclick="positionExample.actor.parentOrigin = [0.5, 1.0, 0.5];"/> | |
| 312 | - <input type="button" value="[1.0, 1.0, 0.5]" onclick="positionExample.actor.parentOrigin = [1.0, 1.0, 0.5];"/> | |
| 313 | - | |
| 314 | - | |
| 315 | - <ol start="2"> | |
| 316 | - <li>AnchorPoint. This Vector3 property defines a point relative to the child actor's area.</li> | |
| 317 | - </ol> | |
| 318 | - <p>The default is "center", which can be visualized in 2D as (0.5, 0.5), but is actually Vector3(0.5, 0.5, 0.5) in the 3D DALi world. The actor's position is also relative to this point.</p> | |
| 319 | - <pre class="code prettyprint"><code>// setting anchor point to the centre | |
| 320 | -myActor.anchorPoint = [0.5, 0.5, 0.5]; | |
| 321 | - </code></pre> | |
| 322 | - <input type="button" value="[0.0, 0.0, 0.0]" onclick="positionExample.actor.anchorPoint = [0.0, 0.0, 0.0];"/> | |
| 323 | - <input type="button" value="[0.5, 0.0, 0.5]" onclick="positionExample.actor.anchorPoint = [0.5, 0.0, 0.5];"/> | |
| 324 | - <input type="button" value="[1.0, 0.0, 0.5]" onclick="positionExample.actor.anchorPoint = [1.0, 0.0, 0.5];"/> | |
| 325 | - <br> | |
| 326 | - <input type="button" value="[0.0, 0.5, 0.5]" onclick="positionExample.actor.anchorPoint = [0.0, 0.5, 0.5];"/> | |
| 327 | - <input type="button" value="[0.5, 0.5, 0.5]" onclick="positionExample.actor.anchorPoint = [0.5, 0.5, 0.5];"/> | |
| 328 | - <input type="button" value="[1.0, 0.5, 0.5]" onclick="positionExample.actor.anchorPoint = [1.0, 0.5, 0.5];"/> | |
| 329 | - <br> | |
| 330 | - <input type="button" value="[0.0, 1.0, 0.5]" onclick="positionExample.actor.anchorPoint = [0.0, 1.0, 0.5];"/> | |
| 331 | - <input type="button" value="[0.5, 1.0, 0.5]" onclick="positionExample.actor.anchorPoint = [0.5, 1.0, 0.5];"/> | |
| 332 | - <input type="button" value="[1.0, 1.0, 0.5]" onclick="positionExample.actor.anchorPoint = [1.0, 1.0, 0.5];"/> | |
| 333 | - | |
| 334 | - <ol start="3"> | |
| 335 | - <li>Position. This is the position vector between the parent-origin and anchor-point.</li> | |
| 336 | - </ol> | |
| 337 | - <p>Therefore by default, an actors position is the distance between its center and the top-left corner of its parent.</p> | |
| 338 | - <p>An actor added directly to the stage with position (X = stageWidth<em>0.5, Y = stageHeight</em>0.5), would appear in the center of the screen. Likewise an actor with position (X = actorWidth<em>0.5, Y = actorWidth</em>0.5), would appear at the top-left of the screen.</p> | |
| 339 | - <p>Note that since DALi is a 3D toolkit, this behaviour is the result of a default perspective camera setup.</p> | |
| 340 | - <br> | |
| 341 | - <input type="button" value="Set parent position" onclick="positionExample.setParentVector3('position');"/> | |
| 342 | - <input type="Number" id="parentX-position" value="0.0"/> | |
| 343 | - <input type="Number" id="parentY-position" value="0.0"/> | |
| 344 | - <input type="Number" id="parentZ-position" value="0.0"/> | |
| 345 | - <br> | |
| 346 | - <input type="button" value="Set child position" onclick="positionExample.setActorVector3('position');"/> | |
| 347 | - <input type="Number" id="actorX-position" value="0.0"/> | |
| 348 | - <input type="Number" id="actorY-position" value="0.0"/> | |
| 349 | - <input type="Number" id="actorZ-position" value="0.0"/> | |
| 350 | - <br> | |
| 351 | - <p>The parent in the example already has a parentOrigin [0.5, 0.5, 0.5] so a zero position displays in the centre. This can be changed below</p> | |
| 352 | - <input type="button" value="Set parent parentOrigin" onclick="positionExample.setParentVector3('parentOrigin');"/> | |
| 353 | - <input type="Number" id="parentX-parentOrigin" value="0.0"/> | |
| 354 | - <input type="Number" id="parentY-parentOrigin" value="0.0"/> | |
| 355 | - <input type="Number" id="parentZ-parentOrigin" value="0.0"/> | |
| 356 | - <br> | |
| 357 | - <input type="button" value="Set child parentOrigin" onclick="positionExample.setActorVector3('parentOrigin');"/> | |
| 358 | - <input type="Number" id="actorX-parentOrigin" value="0.0"/> | |
| 359 | - <input type="Number" id="actorY-parentOrigin" value="0.0"/> | |
| 360 | - <input type="Number" id="actorZ-parentOrigin" value="0.0"/> | |
| 361 | - <br> | |
| 362 | - <br> | |
| 363 | - | |
| 364 | - <img alt="Brand" width="50" id="testImage" style="visibility: hidden" 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"> | |
| 365 | - | |
| 366 | - </body> | |
| 367 | -</html> | |
| 368 | - | |
| 369 | - |
emscripten-examples/dali-toy.html deleted
| 1 | -<!-- | |
| 2 | -/* | |
| 3 | - * Copyright (c) 2015 Samsung Electronics Co., Ltd. | |
| 4 | - * | |
| 5 | - * Licensed under the Apache License, Version 2.0 (the "License"); | |
| 6 | - * you may not use this file except in compliance with the License. | |
| 7 | - * You may obtain a copy of the License at | |
| 8 | - * | |
| 9 | - * http://www.apache.org/licenses/LICENSE-2.0 | |
| 10 | - * | |
| 11 | - * Unless required by applicable law or agreed to in writing, software | |
| 12 | - * distributed under the License is distributed on an "AS IS" BASIS, | |
| 13 | - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| 14 | - * See the License for the specific language governing permissions and | |
| 15 | - * limitations under the License. | |
| 16 | - * | |
| 17 | - */ | |
| 18 | ---> | |
| 19 | - | |
| 20 | -<html> | |
| 21 | - <head> | |
| 22 | - <script src="/skewer"></script> | |
| 23 | - | |
| 24 | - <style src="https://cdnjs.cloudflare.com/ajax/libs/bootstrap-colorpicker/2.1.0/css/bootstrap-colorpicker.min.css"></style> | |
| 25 | - | |
| 26 | - <style> | |
| 27 | - body, html { | |
| 28 | - overflow: hidden; | |
| 29 | - height:100%; | |
| 30 | - } | |
| 31 | - | |
| 32 | - @media{ | |
| 33 | - #left { | |
| 34 | - position: absolute; | |
| 35 | - bottom: 0; | |
| 36 | - left: 0; | |
| 37 | - overflow-y: scroll; | |
| 38 | - } | |
| 39 | - | |
| 40 | - #right { | |
| 41 | - position: absolute; | |
| 42 | - bottom: 0; | |
| 43 | - right: 0; | |
| 44 | - overflow-y: scroll; | |
| 45 | - } | |
| 46 | - } | |
| 47 | - | |
| 48 | - #left { | |
| 49 | - height:100%; | |
| 50 | - } | |
| 51 | - | |
| 52 | - #right { | |
| 53 | - height:100%; | |
| 54 | - text-align:center; | |
| 55 | - } | |
| 56 | - | |
| 57 | - /* 1st level */ | |
| 58 | - .nav label { | |
| 59 | - color: blue; | |
| 60 | - } | |
| 61 | - | |
| 62 | - /* 2nd level */ | |
| 63 | - .tree > li > label { | |
| 64 | - padding:10px 15px; | |
| 65 | - } | |
| 66 | - /* 2nd level */ | |
| 67 | - .tree > li > label { | |
| 68 | - padding:10px 15px; | |
| 69 | - } | |
| 70 | - | |
| 71 | - /* 3rd level */ | |
| 72 | - .tree > li > ul > li > a { | |
| 73 | - color:#cc0000; | |
| 74 | - font-size:10pt; | |
| 75 | - margin-left:15px; | |
| 76 | - } | |
| 77 | - | |
| 78 | - #editorVertex { | |
| 79 | - position: relative; | |
| 80 | - height: 300; | |
| 81 | - } | |
| 82 | - | |
| 83 | - #editorFragment { | |
| 84 | - position: relative; | |
| 85 | - height: 300; | |
| 86 | - } | |
| 87 | - | |
| 88 | - #editorJavascript { | |
| 89 | - position: relative; | |
| 90 | - height: 600; | |
| 91 | - } | |
| 92 | - | |
| 93 | - #solidActorBackgroundColour { | |
| 94 | - position: relative; | |
| 95 | - height: 150px; | |
| 96 | - } | |
| 97 | - | |
| 98 | - | |
| 99 | - .popover { | |
| 100 | - /* max-width:600px; */ | |
| 101 | - /* width: auto; */ | |
| 102 | - } | |
| 103 | - | |
| 104 | - .tooltip-inner { | |
| 105 | - max-width: 600px; | |
| 106 | - /* If max-width does not work, try using width instead */ | |
| 107 | - width: 800px; | |
| 108 | - white-space:pre-wrap; | |
| 109 | - text-align:left; | |
| 110 | - } | |
| 111 | - | |
| 112 | - .modal.modal-wide .modal-dialog { | |
| 113 | - width: 90%; | |
| 114 | - } | |
| 115 | - .modal-wide .modal-body { | |
| 116 | - overflow-y: auto; | |
| 117 | - } | |
| 118 | - | |
| 119 | - </style> | |
| 120 | -<!-- Latest compiled and minified CSS --> | |
| 121 | - <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.2/css/bootstrap.min.css"> | |
| 122 | - | |
| 123 | -<!-- Optional theme --> | |
| 124 | - <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.2/css/bootstrap-theme.min.css"> | |
| 125 | - | |
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| 128 | - </head> | |
| 129 | - | |
| 130 | - <body> | |
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"> 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"> 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"> 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| 134 | - <img alt="Brand" width="50" id="testImage4" style="visibility: hidden" 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"> 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| 135 | - | |
| 136 | - <div class="container"> | |
| 137 | - <div class="row"> | |
| 138 | - <div class="col-md-6" id="left"> | |
| 139 | - <div class="panel with-nav-tabs panel-default"> | |
| 140 | - <div class="panel-heading"> | |
| 141 | - <ul class="nav nav-tabs"> | |
| 142 | - <li> | |
| 143 | - <img alt="Brand" width="50" 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"><b style="font-size:24"><sub>toy<sub/></b></image> | |
| 144 | - </a> | |
| 145 | - </li> | |
| 146 | - <li class="active"><a href="#tab1primary" id="actorTab" data-toggle="tab">Javascript buffers</a></li> | |
| 147 | - <li><a href="#tab2primary" id="imagesTab" data-toggle="tab">Image buffers</a></li> | |
| 148 | - <li><a href="#tab3primary" id="shadersTab" data-toggle="tab">Shader buffers</a></li> | |
| 149 | - <li><a href="#tab4primary" id="propertiesTab" data-toggle="tab">Properties</a></li> | |
| 150 | - <li><a href="#tab5primary" id="helpTab" data-toggle="tab">Help</a></li> | |
| 151 | - </ul> | |
| 152 | - </div> | |
| 153 | - <div class="panel-body"> | |
| 154 | - <div class="tab-content"> | |
| 155 | - | |
| 156 | - <div class="tab-pane fade in active" id="tab1primary"> | |
| 157 | - | |
| 158 | - <div class="btn-group"> | |
| 159 | - <button type="button" class="btn btn-default dropdown-toggle" data-toggle="dropdown" aria-expanded="false"> | |
| 160 | - Select Javacript Buffer <span class="caret"></span> | |
| 161 | - </button> | |
| 162 | - <ul class="dropdown-menu" role="menu" id="javascriptDropDown"> | |
| 163 | - </ul> | |
| 164 | - </div> | |
| 165 | - | |
| 166 | - <button type="button" class="btn btn-default" id="btnJavascriptAddBuffer">Add Buffer</button> | |
| 167 | - <button type="button" class="btn btn-default" id="btnJavascriptRenameBuffer">Rename Buffer</button> | |
| 168 | - <button type="button" class="btn btn-default" id="btnJavascriptClearRun">Clear stage & Run</button> | |
| 169 | - <button type="button" class="btn btn-default" id="btnJavascriptRun">Run</button> | |
| 170 | - <button type="button" class="btn btn-default" id="btnJavascriptSourceJson">Json</button> | |
| 171 | - <div> | |
| 172 | - <p id="textJavascriptName"></p> | |
| 173 | - </div> | |
| 174 | - | |
| 175 | - <div id="editorJavascript" align="left"> | |
| 176 | - </div> | |
| 177 | - </div> | |
| 178 | - | |
| 179 | - <div class="tab-pane fade" id="tab2primary"> | |
| 180 | - | |
| 181 | - <div class="btn-group"> | |
| 182 | - <button type="button" class="btn btn-default dropdown-toggle" data-toggle="dropdown" aria-expanded="false"> | |
| 183 | - Select Image <span class="caret"></span> | |
| 184 | - </button> | |
| 185 | - <ul class="dropdown-menu" role="menu" id="imageDropDown"> | |
| 186 | - </ul> | |
| 187 | - Add Image <input type="file" id="btnImageAddBuffer"> | |
| 188 | - <button type="button" class="btn btn-default" id="btnImageRenameBuffer">Rename Image</button> | |
| 189 | - </div> | |
| 190 | - <div> | |
| 191 | - <canvas id="imageViewCanvas" width="200" height="50"></canvas> | |
| 192 | - </div> | |
| 193 | - </div> | |
| 194 | - | |
| 195 | - <div class="tab-pane fade" id="tab3primary"> | |
| 196 | - <div class="btn-group"> | |
| 197 | - <button type="button" class="btn btn-default dropdown-toggle" data-toggle="dropdown" aria-expanded="false"> | |
| 198 | - Load Shader Buffer <span class="caret"></span> | |
| 199 | - </button> | |
| 200 | - <ul class="dropdown-menu" role="menu" id="shaderDropDown"> | |
| 201 | - <li><a href="javascript:selectShader(1)">Emboss</a></li> | |
| 202 | - <li><a href="javascript:selectShader(2)">eg shader2</a></li> | |
| 203 | - <li><a href="javascript:selectShader(3)">eg shader3</a></li> | |
| 204 | - <li class="divider"></li> | |
| 205 | - <li><a href="javascript:selectShader(0)">Passthrough</a></li> | |
| 206 | - </ul> | |
| 207 | - </div> | |
| 208 | - | |
| 209 | - <div class="btn-group"> | |
| 210 | - <button type="button" class="btn btn-default" id="dropdownShaderHints">Shader Hints</button> | |
| 211 | - <button type="button" class="btn btn-default dropdown-toggle" data-toggle="dropdown" aria-expanded="false"> | |
| 212 | - <span class="caret"></span> | |
| 213 | - </button> | |
| 214 | - | |
| 215 | - <ul class="dropdown-menu" role="menu" id="shaderHintsDropDown"> | |
| 216 | - <li><a href="#" class="small" data-value="option1" tabIndex="-1"><input type="checkbox" id="requiresSelfDepthTest"/>Requires self depth test</a></li> | |
| 217 | - <li><a href="#" class="small" data-value="option1" tabIndex="-1"><input type="checkbox" id="outputIsTransparent"/>Output is transparent</a></li> | |
| 218 | - <li><a href="#" class="small" data-value="option1" tabIndex="-1"><input type="checkbox" id="outputIsOpaque"/>Output is opaque</a></li> | |
| 219 | - <li><a href="#" class="small" data-value="option1" tabIndex="-1"><input type="checkbox" id="modifiesGeometry"/>Modifies geometry</a></li> | |
| 220 | - </ul> | |
| 221 | - </div> | |
| 222 | - <button type="button" class="btn btn-default" id="btnShaderAddBuffer">Add Shader buffer</button> | |
| 223 | - <button type="button" class="btn btn-default" id="btnShaderRenameBuffer">Rename buffer</button> | |
| 224 | - <button type="button" class="btn btn-default" id="btnShaderSourceC">C++</button> | |
| 225 | - <button type="button" class="btn btn-default" id="btnShaderSourceJS">JS</button> | |
| 226 | - <button type="button" class="btn btn-default" id="btnShaderSourceJSON">Json</button> | |
| 227 | - <p></p> | |
| 228 | - <div> | |
| 229 | - <p id="textShaderName"></p> | |
| 230 | - </div> | |
| 231 | - <div id="editorVertex" align="left"> | |
| 232 | - </div> | |
| 233 | - <p></p> | |
| 234 | - <div id="editorFragment" align="left"> | |
| 235 | - </div> | |
| 236 | - | |
| 237 | - <div> | |
| 238 | - <text id="textShaderErrors"></textarea> | |
| 239 | - </div> | |
| 240 | - | |
| 241 | - </div> | |
| 242 | - <div class="tab-pane" id="tab4primary"> | |
| 243 | - <div class="panel-group" id="accordion" role="tablist" aria-multiselectable="true"> | |
| 244 | - <div class="panel panel-default"> | |
| 245 | - <div class="panel-heading" role="tab" id="headingOne"> | |
| 246 | - <h4 class="panel-title"> | |
| 247 | - <a data-toggle="collapse" data-parent="#accordion" href="#collapseOne" aria-expanded="true" aria-controls="collapseOne"> | |
| 248 | - Tree | |
| 249 | - </a> | |
| 250 | - </h4> | |
| 251 | - </div> | |
| 252 | - <div id="collapseOne" class="panel-collapse collapse in" role="tabpanel" aria-labelledby="headingOne"> | |
| 253 | - <div class="panel-body"> | |
| 254 | - <ul class="well" id="tree"> | |
| 255 | - </ul> | |
| 256 | - </div> | |
| 257 | - </div> | |
| 258 | - </div> | |
| 259 | - <div class="panel panel-default"> | |
| 260 | - <div class="panel-heading" role="tab" id="headingTwo"> | |
| 261 | - <h4 class="panel-title"> | |
| 262 | - <a> | |
| 263 | - Properties | |
| 264 | - </a> | |
| 265 | - </h4> | |
| 266 | - </div> | |
| 267 | - <div> | |
| 268 | - <div class="panel-body"> | |
| 269 | - <div class="well" id="selected"> </div> | |
| 270 | - </div> | |
| 271 | - </div> | |
| 272 | - </div> | |
| 273 | - </div> | |
| 274 | - | |
| 275 | - | |
| 276 | - </div> | |
| 277 | - | |
| 278 | - <div class="tab-pane fade" id="tab5primary"> | |
| 279 | - <u>Quick Start</u> | |
| 280 | - <ol> | |
| 281 | - <li> Click "Javascript Buffers" tab. </li> | |
| 282 | - <li> Click "Select Javscript Buffer" dropdown and choose "02. Textured Quad".</li> | |
| 283 | - <li> Click "Clear and Run" to clear the stage and execute the selected Javascript buffer</li> | |
| 284 | - <li> Click on the image in the Dali view to select the created actor</li> | |
| 285 | - <li> Click "Properties" tab to view the actor properties</li> | |
| 286 | - <li> Press F12 or Tools|Javascript Console to open the console. The selected actor can be accessed by typing "dali.actor" in the console.</li> | |
| 287 | - </ol> | |
| 288 | - <ul> | |
| 289 | - <li>The example uses the function shaderFromUIBuffer(name) which gets a shader from one of the buffers in the "Shader buffers" tab.</li> | |
| 290 | - <li>You can load images to the "Image Buffers" and create shaders in "Shader Buffers" and retrieve them in Javascript with the functions | |
| 291 | - shaderFromUIBuffer(name) and imageFromUIBuffer(name) which create a Dali::Shader() or Dali::Image()</li> | |
| 292 | - <li>The example uses the "Pass Through Texture" shader so you can select and edit that shader buffer and then re-click "Clear and Run" to | |
| 293 | - run with your modified shader</li> | |
| 294 | - </ul> | |
| 295 | - <u>Tips</u> | |
| 296 | - <ul> | |
| 297 | - <li>"dali.stage.add(actor)" adds actors to a root actor for rudamentary scene rotation</li> | |
| 298 | - <li>Data is saved to the browser IndexedBuffer so will persist over sessions. However the browser has control over when this data may be dropped.</li> | |
| 299 | - The button below will remove this persisted data and reload the page (sometimes needed if upgrading dali-toy) | |
| 300 | - <li>There are some helper functions useable in the developer console (see below).</li> | |
| 301 | - <li>The functions imageFromUiBuffer(name) and shaderFromUiBuffer(name) will return a Dali.Image() or Dali.Shader() by name from the tabs.</li> | |
| 302 | - <li>The shader buffers will attempt to compile the shader and display errors in the margin</li> | |
| 303 | - </ul> | |
| 304 | - <u>Mouse</u> | |
| 305 | - <ul> | |
| 306 | - <li>Left click - select actor. Left drag - move actor in X/Y plane</li> | |
| 307 | - <li>Middle drag - rotate root rotation actor</li> | |
| 308 | - <li>Right drag up/down - move actor in Z plane</li> | |
| 309 | - </ul> | |
| 310 | - <u>DALi Javascript wrapping</u> | |
| 311 | - <p>See numbered examples in Javascript Buffer tab.</p> | |
| 312 | - <u>DALi helper variables</u> | |
| 313 | - <pre> | |
| 314 | -dali.actor; // currently selected (clicked) actor or null | |
| 315 | - </pre> | |
| 316 | - <u>DALi toy helper functions</u> | |
| 317 | - <pre> | |
| 318 | -dali.actor.position = [0,100,0]; // property access via dot notation | |
| 319 | -shader.weight = 3; // uniforms access from shader object | |
| 320 | -col = collectByName(); // collect all actors on stage for dotted notation access | |
| 321 | -col.picture_4_png.position = [100,0,0]; | |
| 322 | - | |
| 323 | -clear(); // Clear all. If things are still funky right click the reload button | |
| 324 | - // Open developer console, click "Empty Cache and hard reload" (chrome) | |
| 325 | - </pre> | |
| 326 | - <button type="button" class="btn btn-default" id="btnRewriteDatabase">Clear & Reset the Indexed Database (Delete & Reset buffers to original values), then reload the page</button> | |
| 327 | - <br> | |
| 328 | - <div> | |
| 329 | - <textarea id="output" rows="8"></textarea> | |
| 330 | - </div> | |
| 331 | - </div> | |
| 332 | - | |
| 333 | - </div> | |
| 334 | - </div> | |
| 335 | - </div> | |
| 336 | - | |
| 337 | -<!-- Modal --> | |
| 338 | - <div class="modal fade" id="modalAddProperty" tabindex="-1" role="dialog" aria-labelledby="myModalLabel" aria-hidden="true"> | |
| 339 | - <div class="modal-dialog"> | |
| 340 | - <div class="modal-content"> | |
| 341 | - <div class="modal-header"> | |
| 342 | - <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> | |
| 343 | - <h4 class="modal-title" id="myModalLabel">Add Property</h4> | |
| 344 | - </div> | |
| 345 | - <div class="modal-body" id="modalPropertyBody"> | |
| 346 | - </div> | |
| 347 | - <div class="modal-footer" id="modalFooter"> | |
| 348 | - <button type="button" class="btn btn-default" data-dismiss="modal">Close</button> | |
| 349 | - <button type="button" class="btn btn-primary" data-dismiss="modal" id="addPropertySave">Save changes</button> | |
| 350 | - </div> | |
| 351 | - </div> | |
| 352 | - </div> | |
| 353 | - </div> | |
| 354 | - | |
| 355 | -<!-- Modal --> | |
| 356 | - <div class="modal fade" id="modalSaveShader"> | |
| 357 | - <div class="modal-dialog"> | |
| 358 | - <div class="modal-content"> | |
| 359 | - <div class="modal-header"> | |
| 360 | - <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> | |
| 361 | - <h4 class="modal-title">Temporarily save shader shader in cache?</h4> | |
| 362 | - </div> | |
| 363 | - <div class="modal-body row"> | |
| 364 | - <div class="container-fluid"> | |
| 365 | - <div class="row"> | |
| 366 | - <p class="col-md-12" >Do you want to save the exisitng shader</p> | |
| 367 | - </div> | |
| 368 | - <div class="row"> | |
| 369 | - <input class="col-md-12" type="text" id="modalSaveShaderName"/> | |
| 370 | - </div> | |
| 371 | - </div> | |
| 372 | - </div> | |
| 373 | - <div class="modal-footer"> | |
| 374 | - <button type="button" class="btn btn-default" data-dismiss="modal">Don't save</button> | |
| 375 | - <button type="button" class="btn btn-primary" data-dismiss="modal" id="modalSaveShaderYes">Save changes</button> | |
| 376 | - </div> | |
| 377 | - </div><!-- /.modal-content --> | |
| 378 | - </div><!-- /.modal-dialog --> | |
| 379 | - </div><!-- /.modal --> | |
| 380 | - | |
| 381 | -<!-- Modal --> | |
| 382 | - <div class="modal modal-wide fade" id="modalCodeInfo" tabindex="-1" role="dialog" aria-labelledby="myModalLabel" aria-hidden="true"> | |
| 383 | - <div class="modal-dialog"> | |
| 384 | - <div class="modal-content"> | |
| 385 | - <div class="modal-header"> | |
| 386 | - <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> | |
| 387 | - <h4 class="modal-title" id="myModalLabel">Code</h4> | |
| 388 | - </div> | |
| 389 | - <div class="modal-body" id="modalCodeInfoBody"> | |
| 390 | - </div> | |
| 391 | - <div class="modal-footer"> | |
| 392 | - <button type="button" class="btn btn-default" data-dismiss="modal">Close</button> | |
| 393 | - </div> | |
| 394 | - </div> | |
| 395 | - </div> | |
| 396 | - </div> | |
| 397 | - | |
| 398 | -<!-- Modal --> | |
| 399 | - <div class="modal modal-wide fade" id="modalQuestion" tabindex="-1" role="dialog" aria-labelledby="myModalLabel" aria-hidden="true"> | |
| 400 | - <div class="modal-dialog"> | |
| 401 | - <div class="modal-content"> | |
| 402 | - <div class="modal-header"> | |
| 403 | - <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> | |
| 404 | - <h4 class="modal-title" id="myModalLabel">Question</h4> | |
| 405 | - </div> | |
| 406 | - <div class="modal-body" id="modalQuestionBody"> | |
| 407 | - </div> | |
| 408 | - <div class="modal-footer"> | |
| 409 | - <button type="button" class="btn btn-default" data-dismiss="modal" id="modalQuestionNo">No</button> | |
| 410 | - <button type="button" class="btn btn-primary" data-dismiss="modal" id="modalQuestionYes">Yes</button> | |
| 411 | - </div> | |
| 412 | - </div> | |
| 413 | - </div> | |
| 414 | - </div> | |
| 415 | - | |
| 416 | -<!-- Modal --> | |
| 417 | - <div class="modal modal-wide fade" id="modalInput" tabindex="-1" role="dialog" aria-labelledby="myModalLabel" aria-hidden="true"> | |
| 418 | - <div class="modal-dialog"> | |
| 419 | - <div class="modal-content"> | |
| 420 | - <div class="modal-header"> | |
| 421 | - <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> | |
| 422 | - <h4 class="modal-title" id="myModalLabel">Input</h4> | |
| 423 | - </div> | |
| 424 | - <div class="modal-body" id="modalInputBody"> | |
| 425 | - </div> | |
| 426 | - <input type="text" id="modalInputText" class="form-control"> | |
| 427 | - <div class="modal-footer"> | |
| 428 | - <button type="button" class="btn btn-default" data-dismiss="modal" id="modalInputCancel">Cancel</button> | |
| 429 | - <button type="button" class="btn btn-primary" data-dismiss="modal" id="modalInputOk">Ok</button> | |
| 430 | - </div> | |
| 431 | - </div> | |
| 432 | - </div> | |
| 433 | - </div> | |
| 434 | - | |
| 435 | - | |
| 436 | - </div> | |
| 437 | - <div class="col-md-6" id="right"> | |
| 438 | - <div class="spinner" id='spinner'></div> | |
| 439 | - <div> | |
| 440 | - <progress value="0" max="100" id="progress" hidden=1></progress> | |
| 441 | - </div> | |
| 442 | - <div class="emscripten" id="status"> | |
| 443 | - Downloading... | |
| 444 | - </div> | |
| 445 | - <canvas class="emscripten" id="canvas" oncontextmenu="event.preventDefault()" width="600" height="800" style="background-color: black;"></canvas> | |
| 446 | - | |
| 447 | - <div class="row"> | |
| 448 | - <div class="col-md-4"> | |
| 449 | - </div> | |
| 450 | - <div class="col-md-4" id="statistics" align ="left"> | |
| 451 | - </div> | |
| 452 | - <div class="col-md-4"> | |
| 453 | - </div> | |
| 454 | - </div> | |
| 455 | - </div> | |
| 456 | - </div> | |
| 457 | - </div> | |
| 458 | - | |
| 459 | -<!-- Small modal --> | |
| 460 | -<div class="modal fade bs-example-modal-sm" id="infoModal" tabindex="-1" role="dialog" aria-labelledby="mySmallModalLabel" aria-hidden="true"> | |
| 461 | - <div class="modal-dialog modal-sm"> | |
| 462 | - <div class="modal-content" id="modalInfoBody"> | |
| 463 | - </div> | |
| 464 | - </div> | |
| 465 | -</div> | |
| 466 | - | |
| 467 | - <!-- jQuery (necessary for Bootstrap's JavaScript plugins) --> | |
| 468 | - <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.2/jquery.min.js"></script> | |
| 469 | - <!-- Latest compiled and minified JavaScript --> | |
| 470 | - <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.2/js/bootstrap.min.js"></script> | |
| 471 | - | |
| 472 | - | |
| 473 | - | |
| 474 | - <script type="text/javascript"> // emscripten | |
| 475 | - | |
| 476 | - var statusElement = document.getElementById('status'); | |
| 477 | - var progressElement = document.getElementById('progress'); | |
| 478 | - var spinnerElement = document.getElementById('spinner'); | |
| 479 | - | |
| 480 | - var Module = { | |
| 481 | - doNotCaptureKeyboard:true, | |
| 482 | - preRun: [], | |
| 483 | - postRun: [], | |
| 484 | - print: (function() { | |
| 485 | - var element = document.getElementById('output'); | |
| 486 | - if (element) element.value = ''; // clear browser cache | |
| 487 | - return function(text) { | |
| 488 | - text = Array.prototype.slice.call(arguments).join(' '); | |
| 489 | - // These replacements are necessary if you render to raw HTML | |
| 490 | - //text = text.replace(/&/g, "&"); | |
| 491 | - //text = text.replace(/</g, "<"); | |
| 492 | - //text = text.replace(/>/g, ">"); | |
| 493 | - //text = text.replace('\n', '<br>', 'g'); | |
| 494 | - console.log("STDOUT:", text); | |
| 495 | - if (element) { | |
| 496 | - element.value += text + "\n"; | |
| 497 | - element.scrollTop = element.scrollHeight; // focus on bottom | |
| 498 | - } | |
| 499 | - }; | |
| 500 | - })(), | |
| 501 | - printErr: function(text) { | |
| 502 | - text = Array.prototype.slice.call(arguments).join(' '); | |
| 503 | - if (0) { // XXX disabled for safety typeof dump == 'function') { | |
| 504 | - dump(text + '\n'); // fast, straight to the real console | |
| 505 | - } else { | |
| 506 | - console.error("STDERR:", text); | |
| 507 | - } | |
| 508 | - }, | |
| 509 | - canvas: document.getElementById('canvas'), | |
| 510 | - setStatus: function(text) { | |
| 511 | - if (!Module.setStatus.last) Module.setStatus.last = { time: Date.now(), text: '' }; | |
| 512 | - if (text === Module.setStatus.text) return; | |
| 513 | - var m = text.match(/([^(]+)\((\d+(\.\d+)?)\/(\d+)\)/); | |
| 514 | - var now = Date.now(); | |
| 515 | - if (m && now - Date.now() < 30) return; // if this is a progress update, skip it if too soon | |
| 516 | - if (m) { | |
| 517 | - text = m[1]; | |
| 518 | - progressElement.value = parseInt(m[2])*100; | |
| 519 | - progressElement.max = parseInt(m[4])*100; | |
| 520 | - progressElement.hidden = false; | |
| 521 | - spinnerElement.hidden = false; | |
| 522 | - } else { | |
| 523 | - progressElement.value = null; | |
| 524 | - progressElement.max = null; | |
| 525 | - progressElement.hidden = true; | |
| 526 | - if (!text) spinnerElement.style.display = 'none'; | |
| 527 | - } | |
| 528 | - statusElement.innerHTML = text; | |
| 529 | - }, | |
| 530 | - totalDependencies: 0, | |
| 531 | - monitorRunDependencies: function(left) { | |
| 532 | - this.totalDependencies = Math.max(this.totalDependencies, left); | |
| 533 | - Module.setStatus(left ? 'Preparing... (' + (this.totalDependencies-left) + '/' + this.totalDependencies + ')' : 'All downloads complete.'); | |
| 534 | - }, | |
| 535 | - | |
| 536 | - postRun: function () { | |
| 537 | - // postRun; so that dali-emscripten.js is loaded first | |
| 538 | - // (postMainLoop to run all the time) | |
| 539 | - var s = document.createElement("script"); | |
| 540 | - s.src = "dali-wrapper.js"; | |
| 541 | - document.body.appendChild(s); | |
| 542 | - }, | |
| 543 | - postDaliWrapperRun: function () { | |
| 544 | - // | |
| 545 | - // chain load main.js | |
| 546 | - // | |
| 547 | - var chainLoadScript = document.createElement("script"); | |
| 548 | - chainLoadScript.src = "dali-toy.js"; | |
| 549 | - document.body.appendChild(chainLoadScript); | |
| 550 | - } | |
| 551 | - | |
| 552 | - }; // Module | |
| 553 | - | |
| 554 | - Module.setStatus('Downloading...'); | |
| 555 | - window.onerror = function() { | |
| 556 | - Module.setStatus('Exception thrown, see JavaScript console'); | |
| 557 | - spinnerElement.style.display = 'none'; | |
| 558 | - Module.setStatus = function(text) { | |
| 559 | - if (text) Module.printErr('[post-exception status] ' + text); | |
| 560 | - }; | |
| 561 | - }; | |
| 562 | - | |
| 563 | - | |
| 564 | - </script> | |
| 565 | - | |
| 566 | - <script async type="text/javascript" src="dali-emscripten.js"></script> | |
| 567 | - | |
| 568 | - <script src="https://cdn.jsdelivr.net/ace/1.2/min/ace.js" type="text/javascript" charset="utf-8"></script> | |
| 569 | - <script src="https://cdn.jsdelivr.net/ace/1.2/min/ext-language_tools.js" type="text/javascript" charset="utf-8"></script> | |
| 570 | - <script src='https://cdnjs.cloudflare.com/ajax/libs/spectrum/1.6.1/spectrum.min.js'></script> | |
| 571 | - <script src="https://cdnjs.cloudflare.com/ajax/libs/gl-matrix/2.1.0/gl-matrix-min.js"></script> | |
| 572 | - <link rel='stylesheet' href='https://cdnjs.cloudflare.com/ajax/libs/spectrum/1.6.1/spectrum.min.css' /> | |
| 573 | - | |
| 574 | - <script> | |
| 575 | - var editor = ace.edit("editorVertex"); | |
| 576 | - editor.setTheme("ace/theme/eclipse"); | |
| 577 | - editor.getSession().setMode("ace/mode/glsl"); | |
| 578 | - editor.$blockScrolling = Infinity; // stops error message about scrolling | |
| 579 | - | |
| 580 | - var editor = ace.edit("editorFragment"); | |
| 581 | - editor.setTheme("ace/theme/eclipse"); | |
| 582 | - editor.getSession().setMode("ace/mode/glsl"); | |
| 583 | - editor.$blockScrolling = Infinity; // stops error message about scrolling | |
| 584 | - | |
| 585 | - var editor = ace.edit("editorJavascript"); | |
| 586 | - editor.setTheme("ace/theme/eclipse"); | |
| 587 | - editor.getSession().setMode("ace/mode/javascript"); | |
| 588 | - editor.$blockScrolling = Infinity; // stops error message about scrolling | |
| 589 | - | |
| 590 | - // var editor = ace.edit("editorJavascript"); | |
| 591 | - // editor.setTheme("ace/theme/eclipse"); | |
| 592 | - // editor.getSession().setMode("ace/mode/javascript"); | |
| 593 | - | |
| 594 | - // var elem = document.getElementByClassName("solidActorBackgroundColour"); | |
| 595 | - // elem.colorpicker(); | |
| 596 | - | |
| 597 | - </script> | |
| 598 | - <script> | |
| 599 | - //$(function(){ | |
| 600 | - // $('.solidActorBackgroundColour').colorpicker(); | |
| 601 | - //}); | |
| 602 | - $("#solidActorColor").spectrum({ | |
| 603 | - color: "#f00", | |
| 604 | - preferredFormat: "rgb", | |
| 605 | - showPalette: true, | |
| 606 | - showInput: true, | |
| 607 | - showAlpha: true | |
| 608 | - }); | |
| 609 | - $("#solidActorBorderColor").spectrum({ | |
| 610 | - color: "#f00", | |
| 611 | - preferredFormat: "rgb", | |
| 612 | - showPalette: true, | |
| 613 | - showInput: true, | |
| 614 | - showAlpha: true | |
| 615 | - }); | |
| 616 | - | |
| 617 | - | |
| 618 | - function getColorForElement(elemId) | |
| 619 | - { | |
| 620 | - var c = $("#" + elemId).spectrum("get").toRgb(); | |
| 621 | - return [c.r / 256, c.g / 256, c.b / 256, c.a]; | |
| 622 | - } | |
| 623 | - | |
| 624 | - </script> | |
| 625 | - </body> | |
| 626 | - | |
| 627 | -</html> |
emscripten-examples/dali-toy.js deleted
Changes suppressed. Click to show
| 1 | -/* | |
| 2 | - * Copyright (c) 2015 Samsung Electronics Co., Ltd. | |
| 3 | - * | |
| 4 | - * Licensed under the Apache License, Version 2.0 (the "License"); | |
| 5 | - * you may not use this file except in compliance with the License. | |
| 6 | - * You may obtain a copy of the License at | |
| 7 | - * | |
| 8 | - * http://www.apache.org/licenses/LICENSE-2.0 | |
| 9 | - * | |
| 10 | - * Unless required by applicable law or agreed to in writing, software | |
| 11 | - * distributed under the License is distributed on an "AS IS" BASIS, | |
| 12 | - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| 13 | - * See the License for the specific language governing permissions and | |
| 14 | - * limitations under the License. | |
| 15 | - * | |
| 16 | - */ | |
| 17 | - | |
| 18 | -/*global */ | |
| 19 | -/* eslint-env browser */ | |
| 20 | -/* eslint "brace-style": [2, "1tbs"] */ | |
| 21 | -/* eslint "no-console": 0 */ | |
| 22 | -/* eslint "no-underscore-dangle": 0 */ | |
| 23 | - | |
| 24 | -// | |
| 25 | -// Dali browser application for testing the javascript API. | |
| 26 | -// | |
| 27 | - | |
| 28 | -// browser variables defined for eslint | |
| 29 | -var $; | |
| 30 | -var ace; | |
| 31 | -var dali; | |
| 32 | -// var canvas; | |
| 33 | -var app; | |
| 34 | -var eventHandler; | |
| 35 | -var assert; | |
| 36 | - | |
| 37 | -// | |
| 38 | -// Global state | |
| 39 | -// | |
| 40 | -var test; | |
| 41 | -var database; | |
| 42 | - | |
| 43 | -var uiApp; | |
| 44 | -var uiJavascriptTab; | |
| 45 | -var uiImageTab; | |
| 46 | -var uiShaderTab; | |
| 47 | - | |
| 48 | - | |
| 49 | -var actorIdToShaderSet = {}; // actor id to shader | |
| 50 | -var compiledShaders = {}; // compiled shaders by name | |
| 51 | - | |
| 52 | -var animationList = []; // list of animations that have been added [ { animation: new dali.Animation(), properties: [] } ] | |
| 53 | -var animationSelectionIndex; // selected animation | |
| 54 | - | |
| 55 | -// | |
| 56 | -// | |
| 57 | -// Demo Shaders | |
| 58 | -// | |
| 59 | -// | |
| 60 | -var shaderSourceSelection = 0; | |
| 61 | -var shaderSources = [ | |
| 62 | - { | |
| 63 | - name: "pass through texture", | |
| 64 | - hints: "", | |
| 65 | - vertex: | |
| 66 | - "\n" + | |
| 67 | - "attribute mediump vec3 aPosition;\n" + | |
| 68 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 69 | - "varying mediump vec2 vTexCoord;\n" + | |
| 70 | - "uniform mediump vec3 uSize;\n" + | |
| 71 | - "uniform mediump mat4 uModelView;\n" + | |
| 72 | - "uniform mediump mat4 uProjection;\n" + | |
| 73 | - "uniform mediump mat4 uMvpMatrix;\n" + | |
| 74 | - "\n" + | |
| 75 | - "void main(void)\n" + | |
| 76 | - "{\n" + | |
| 77 | - " mediump vec4 vertexPosition = vec4(aPosition, 1.0);\n" + | |
| 78 | - " vertexPosition.xyz *= uSize;\n" + | |
| 79 | - " gl_Position = uMvpMatrix * vertexPosition;\n" + | |
| 80 | - " vTexCoord = aTexCoord;\n" + | |
| 81 | - "}\n", | |
| 82 | - fragment: "precision mediump float;\n" + | |
| 83 | - "\n" + | |
| 84 | - "uniform sampler2D sTexture;\n" + | |
| 85 | - "uniform mediump vec4 uColor;\n" + | |
| 86 | - "varying mediump vec2 vTexCoord;\n" + | |
| 87 | - "\n" + | |
| 88 | - "void main()\n" + | |
| 89 | - "{\n" + | |
| 90 | - " gl_FragColor = texture2D( sTexture, vTexCoord ) * uColor;\n" + | |
| 91 | - "}\n" | |
| 92 | - }, | |
| 93 | - { | |
| 94 | - name: "pass through color", | |
| 95 | - hints: "", | |
| 96 | - vertex: "\n" + | |
| 97 | - "attribute mediump vec3 aPosition;\n" + | |
| 98 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 99 | - "varying mediump vec2 vTexCoord;\n" + | |
| 100 | - "uniform mediump vec3 uSize;\n" + | |
| 101 | - "uniform mediump mat4 uModelView;\n" + | |
| 102 | - "uniform mediump mat4 uProjection;\n" + | |
| 103 | - "\n" + | |
| 104 | - "void main(void)\n" + | |
| 105 | - "{\n" + | |
| 106 | - " gl_Position = uProjection * uModelView * vec4(aPosition, 1.0);\n" + | |
| 107 | - " vertexPosition.xyz *= uSize;\n" + | |
| 108 | - " vTexCoord = aTexCoord;\n" + | |
| 109 | - "}\n", | |
| 110 | - fragment: "precision mediump float;\n" + | |
| 111 | - "\n" + | |
| 112 | - "uniform mediump vec4 uColor;\n" + | |
| 113 | - "varying mediump vec2 vTexCoord;\n" + | |
| 114 | - "\n" + | |
| 115 | - "void main()\n" + | |
| 116 | - "{\n" + | |
| 117 | - " gl_FragColor = vColor * uColor;\n" + | |
| 118 | - "}\n" | |
| 119 | - }, | |
| 120 | - { | |
| 121 | - name: "sRGB Correction", | |
| 122 | - hints: "", | |
| 123 | - vertex: "\n" + | |
| 124 | - "uniform mediump mat4 uModelView;\n" + | |
| 125 | - "uniform mediump mat4 uProjection;\n" + | |
| 126 | - "uniform mediump mat4 uModelMatrix;\n" + | |
| 127 | - "attribute mediump vec3 aPosition;\n" + | |
| 128 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 129 | - "varying mediump vec2 vTexCoord;\n" + | |
| 130 | - "uniform mediump vec3 uSize;\n" + | |
| 131 | - "\n" + | |
| 132 | - "void main(void)\n" + | |
| 133 | - "{\n" + | |
| 134 | - " mediump vec3 vertexPosition = aPosition * uSize;\n" + | |
| 135 | - " gl_Position = uProjection * uModelView * vec4(vertexPosition, 1.0);\n" + | |
| 136 | - " vTexCoord = aTexCoord;\n" + | |
| 137 | - "}\n", | |
| 138 | - fragment: "precision mediump float;\n" + | |
| 139 | - "\n" + | |
| 140 | - "uniform mediump vec4 uColor;\n" + | |
| 141 | - "uniform sampler2D sTexture;\n" + | |
| 142 | - "varying mediump vec2 vTexCoord;\n" + | |
| 143 | - "\n" + | |
| 144 | - "void main()\n" + | |
| 145 | - "{\n" + | |
| 146 | - "vec4 col = texture2D( sTexture, vTexCoord ) * uColor;\n" + | |
| 147 | - "vec3 mask = vec3(greaterThan(col.rgb, vec3(0.0031308)));\n" + | |
| 148 | - "vec3 o = mix(col.rgb * 12.92, \n" + | |
| 149 | - " pow(col.rgb, vec3(1.0/2.4)) * 1.055 - 0.055, \n" + | |
| 150 | - " mask);\n" + | |
| 151 | - "gl_FragColor = vec4(o.r, o.g, o.b, col.a);\n" + | |
| 152 | - "}\n" | |
| 153 | - }, | |
| 154 | - { | |
| 155 | - name: "adjust brightness", | |
| 156 | - hints: "", | |
| 157 | - animateTo: [ ["uGain", 1.0, "Linear", 0, 3], | |
| 158 | - ["uOffset", 0.2, "Linear", 0, 3] ], | |
| 159 | - vertex: | |
| 160 | - "\n" + | |
| 161 | - "uniform mediump mat4 uModelView;\n" + | |
| 162 | - "uniform mediump mat4 uProjection;\n" + | |
| 163 | - "attribute mediump vec3 aPosition;\n" + | |
| 164 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 165 | - "varying mediump vec2 vTexCoord;\n" + | |
| 166 | - "uniform mediump vec3 uSize;\n" + | |
| 167 | - "\n" + | |
| 168 | - "void main(void)\n" + | |
| 169 | - "{\n" + | |
| 170 | - " mediump vec3 vertexPosition = aPosition * uSize;\n" + | |
| 171 | - " gl_Position = uProjection * uModelView * vec4(vertexPosition, 1.0);\n" + | |
| 172 | - " vTexCoord = aTexCoord;\n" + | |
| 173 | - "}\n" + | |
| 174 | - "\n" + | |
| 175 | - "", | |
| 176 | - fragment: | |
| 177 | - "precision mediump float;\n" + | |
| 178 | - "\n" + | |
| 179 | - "uniform mediump vec4 uColor;\n" + | |
| 180 | - "uniform sampler2D sTexture;\n" + | |
| 181 | - "varying mediump vec2 vTexCoord;\n" + | |
| 182 | - "\n" + | |
| 183 | - "uniform float uGain; // {default:1.0} \n" + | |
| 184 | - "uniform float uOffset; // {default:0.0} \n" + | |
| 185 | - "void main()\n" + | |
| 186 | - "{\n" + | |
| 187 | - " vec4 t = texture2D( sTexture, vTexCoord );\n" + | |
| 188 | - " \n" + | |
| 189 | - " float y = 0.0 + (0.299 *t.r) + 0.587*t.g + 0.114*t.b;\n" + | |
| 190 | - " float cb= 128.0-(0.168736*t.r)-0.331264*t.g+0.5*t.b;\n" + | |
| 191 | - " float cr= 128.0+(0.5*t.r)-(0.418688*t.g)-0.081312*t.b;\n" + | |
| 192 | - " \n" + | |
| 193 | - " y = (y*uGain) + uOffset;\n" + | |
| 194 | - " \n" + | |
| 195 | - " vec4 col = vec4(t.a);\n" + | |
| 196 | - " \n" + | |
| 197 | - " col.r = y + 1.402*(cr-128.0);\n" + | |
| 198 | - " col.g = y - 0.34414*(cb-128.0)-0.71414*(cr-128.0);\n" + | |
| 199 | - " col.b = y + 1.722*(cb-128.0);\n" + | |
| 200 | - " \n" + | |
| 201 | - " \n" + | |
| 202 | - " gl_FragColor = col * uColor;\n" + | |
| 203 | - "}\n" + | |
| 204 | - "\n" + | |
| 205 | - "" | |
| 206 | - }, | |
| 207 | - { | |
| 208 | - name: "wavey", | |
| 209 | - hints: "", | |
| 210 | - animateTo: [ ["uAmplitude", 0.2, "Linear", 0, 3], | |
| 211 | - ["uFrequency", 4, "Linear", 0, 3] ], | |
| 212 | - vertex: "\n" + | |
| 213 | - "uniform mediump mat4 uModelView;\n" + | |
| 214 | - "uniform mediump mat4 uProjection;\n" + | |
| 215 | - "attribute mediump vec3 aPosition;\n" + | |
| 216 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 217 | - "varying mediump vec2 vTexCoord;\n" + | |
| 218 | - "uniform mediump vec3 uSize;\n" + | |
| 219 | - "\n" + | |
| 220 | - "void main(void)\n" + | |
| 221 | - "{\n" + | |
| 222 | - " mediump vec3 vertexPosition = aPosition * uSize;\n" + | |
| 223 | - " gl_Position = uProjection * uModelView * vec4(vertexPosition, 1.0);\n" + | |
| 224 | - " vTexCoord = aTexCoord;\n" + | |
| 225 | - "}\n", | |
| 226 | - fragment: "precision mediump float;\n" + | |
| 227 | - "\n" + | |
| 228 | - "uniform mediump vec4 uColor;\n" + | |
| 229 | - "uniform sampler2D sTexture;\n" + | |
| 230 | - "varying mediump vec2 vTexCoord;\n" + | |
| 231 | - "\n" + | |
| 232 | - "uniform float uAmplitude; // {default:0.4, description:\"amplitude in x\"} \n" + | |
| 233 | - "uniform float uFrequency; // {default: 4, description:\"frequence in y\"} \n" + | |
| 234 | - "void main()\n" + | |
| 235 | - "{\n" + | |
| 236 | - " vec2 uv = vTexCoord.xy;\n" + | |
| 237 | - "\n" + | |
| 238 | - " uv.x += sin(uv.y * 3.14 * uFrequency) * uAmplitude;\n" + | |
| 239 | - " \n" + | |
| 240 | - " vec4 color = texture2D(sTexture, uv);\n" + | |
| 241 | - " \n" + | |
| 242 | - " gl_FragColor = color;\n" + | |
| 243 | - "}\n" | |
| 244 | - }, | |
| 245 | - { | |
| 246 | - name: "melt", | |
| 247 | - hints: "", | |
| 248 | - animateTo: [ ["uFactor", -4.0, "Linear", 0, 3] ], | |
| 249 | - vertex: | |
| 250 | - "\n" + | |
| 251 | - "uniform mediump mat4 uModelView;\n" + | |
| 252 | - "uniform mediump mat4 uProjection;\n" + | |
| 253 | - "attribute mediump vec3 aPosition;\n" + | |
| 254 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 255 | - "varying mediump vec2 vTexCoord;\n" + | |
| 256 | - "uniform mediump vec3 uSize;\n" + | |
| 257 | - "\n" + | |
| 258 | - "void main(void)\n" + | |
| 259 | - "{\n" + | |
| 260 | - " mediump vec3 vertexPosition = aPosition * uSize;\n" + | |
| 261 | - " gl_Position = uProjection * uModelView * vec4(vertexPosition, 1.0);\n" + | |
| 262 | - " vTexCoord = aTexCoord;\n" + | |
| 263 | - "}\n" + | |
| 264 | - "\n" + | |
| 265 | - "", | |
| 266 | - fragment: | |
| 267 | - "precision mediump float;\n" + | |
| 268 | - "\n" + | |
| 269 | - "uniform mediump vec4 uColor;\n" + | |
| 270 | - "uniform sampler2D sTexture;\n" + | |
| 271 | - "varying mediump vec2 vTexCoord;\n" + | |
| 272 | - "\n" + | |
| 273 | - "uniform float uFactor; // {default:0.2, description:\"drip factor\"} \n" + | |
| 274 | - "\n" + | |
| 275 | - " \n" + | |
| 276 | - "float random( vec2 p )\n" + | |
| 277 | - "{\n" + | |
| 278 | - " float q = p.x * 269.5 + p.y * 183.3;\n" + | |
| 279 | - " return fract( sin( q ) * 43758.5453 );\n" + | |
| 280 | - "}\n" + | |
| 281 | - "\n" + | |
| 282 | - "void main()\n" + | |
| 283 | - "{\n" + | |
| 284 | - " vec2 uv = vTexCoord.xy;\n" + | |
| 285 | - " \n" + | |
| 286 | - " float kindaRandom = (texture2D(sTexture, vec2(uv.x,0.5)).r + texture2D(sTexture, vec2(0.5,uv.x)).r) / 2.0;\n" + | |
| 287 | - " \n" + | |
| 288 | - " //kindaRandom = random( vec2(texture2D(sTexture, vec2(uv.x,0.5)).r, texture2D(sTexture, vec2(0.5,uv.y)).g) );\n" + | |
| 289 | - " \n" + | |
| 290 | - " uv.y += uFactor * kindaRandom;\n" + | |
| 291 | - " \n" + | |
| 292 | - "\n" + | |
| 293 | - " gl_FragColor = texture2D( sTexture, uv ) * uColor;\n" + | |
| 294 | - "}\n" + | |
| 295 | - "\n" + | |
| 296 | - "\n" + | |
| 297 | - "" | |
| 298 | - }, | |
| 299 | - { | |
| 300 | - name: "round window", | |
| 301 | - hints: "", | |
| 302 | - animateTo: [ ["uRadius", 0.8, "Linear", 0, 3] ], | |
| 303 | - vertex: "\n" + | |
| 304 | - "uniform mediump mat4 uModelView;\n" + | |
| 305 | - "uniform mediump mat4 uProjection;\n" + | |
| 306 | - "attribute mediump vec3 aPosition;\n" + | |
| 307 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 308 | - "varying mediump vec2 vTexCoord;\n" + | |
| 309 | - "\n" + | |
| 310 | - "void main(void)\n" + | |
| 311 | - "{\n" + | |
| 312 | - " gl_Position = uProjection * uModelView * vec4(aPosition, 1.0);\n" + | |
| 313 | - " vTexCoord = aTexCoord;\n" + | |
| 314 | - "}\n", | |
| 315 | - fragment: "precision lowp float;\n" + | |
| 316 | - "\n" + | |
| 317 | - "uniform mediump vec4 uColor;\n" + | |
| 318 | - "uniform sampler2D sTexture;\n" + | |
| 319 | - "\n" + | |
| 320 | - "uniform lowp float uRadius; // {default: 0.2} \n" + | |
| 321 | - "varying mediump vec2 vTexCoord;\n" + | |
| 322 | - "void main()\n" + | |
| 323 | - "{\n" + | |
| 324 | - " precision lowp float;\n" + | |
| 325 | - " lowp vec2 pos= vec2(vTexCoord.x-0.5,vTexCoord.y-0.5);\n" + | |
| 326 | - " lowp float radius = dot(pos, pos ) ;\n" + | |
| 327 | - " if( radius > (uRadius*uRadius) )\n" + | |
| 328 | - " discard;\n" + | |
| 329 | - " gl_FragColor = texture2D( sTexture, vTexCoord ) * uColor ;\n" + | |
| 330 | - "}\n" | |
| 331 | - }, | |
| 332 | - { | |
| 333 | - name: "mosaic", | |
| 334 | - hints: "", | |
| 335 | - animateTo: [ ["uPixelFactor", 0.3, "Linear", 0, 3] ], | |
| 336 | - vertex: "\n" + | |
| 337 | - "uniform mediump mat4 uModelView;\n" + | |
| 338 | - "uniform mediump mat4 uProjection;\n" + | |
| 339 | - "attribute mediump vec3 aPosition;\n" + | |
| 340 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 341 | - "varying mediump vec2 vTexCoord;\n" + | |
| 342 | - "uniform mediump vec3 uSize;\n" + | |
| 343 | - "\n" + | |
| 344 | - "void main(void)\n" + | |
| 345 | - "{\n" + | |
| 346 | - " mediump vec3 vertexPosition = aPosition * uSize;\n" + | |
| 347 | - " gl_Position = uProjection * uModelView * vec4(vertexPosition, 1.0);\n" + | |
| 348 | - " vTexCoord = aTexCoord;\n" + | |
| 349 | - "}\n", | |
| 350 | - fragment: "precision mediump float;\n" + | |
| 351 | - "\n" + | |
| 352 | - "uniform mediump vec4 uColor;\n" + | |
| 353 | - "uniform sampler2D sTexture;\n" + | |
| 354 | - "varying mediump vec2 vTexCoord;\n" + | |
| 355 | - "\n" + | |
| 356 | - " \n" + | |
| 357 | - "uniform float uPixelFactor; // {default:0.1, min:0.0, max:0.3} \n" + | |
| 358 | - "\n" + | |
| 359 | - "\n" + | |
| 360 | - "float smooth(float f) {\n" + | |
| 361 | - " return 32.0*f*f*(0.25*f*f-0.5*f+0.25)+0.5;\n" + | |
| 362 | - "}\n" + | |
| 363 | - "\n" + | |
| 364 | - "void main()\n" + | |
| 365 | - "{\n" + | |
| 366 | - " vec2 resolution = vec2(1,1); // uniform vec2 resolution;\n" + | |
| 367 | - " //uPixelFactor = 8.0 + 8.0 * (0.5 + 0.5 * sin(globaltime * 0.25));\n" + | |
| 368 | - " vec2 chunkCoord = floor(vTexCoord.xy / uPixelFactor) * uPixelFactor;\n" + | |
| 369 | - " vec2 locCoord = (vTexCoord.xy - chunkCoord) / uPixelFactor;\n" + | |
| 370 | - " vec4 color = vec4(floor(5.0 * texture2D(sTexture, chunkCoord / resolution.xy).xyz) / 5.0, 1.0);\n" + | |
| 371 | - " float grey = (color.x + color.y + color.z) / 3.0;\n" + | |
| 372 | - " gl_FragColor = color * smooth(locCoord.x) * smooth(locCoord.y);\n" + | |
| 373 | - "}\n" | |
| 374 | - }, | |
| 375 | - { | |
| 376 | - name: "burn", | |
| 377 | - hints: "", | |
| 378 | - animateTo: [ ["uThresh", 0.8, "Linear", 0, 3] ], | |
| 379 | - vertex: | |
| 380 | - "\n" + | |
| 381 | - "uniform mediump mat4 uModelView;\n" + | |
| 382 | - "uniform mediump mat4 uProjection;\n" + | |
| 383 | - "attribute mediump vec3 aPosition;\n" + | |
| 384 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 385 | - "varying mediump vec2 vTexCoord;\n" + | |
| 386 | - "uniform mediump vec3 uSize;\n" + | |
| 387 | - "\n" + | |
| 388 | - "void main(void)\n" + | |
| 389 | - "{\n" + | |
| 390 | - " mediump vec3 vertexPosition = aPosition * uSize;\n" + | |
| 391 | - " gl_Position = uProjection * uModelView * vec4(vertexPosition, 1.0);\n" + | |
| 392 | - " vTexCoord = aTexCoord;\n" + | |
| 393 | - "}\n" + | |
| 394 | - "\n" + | |
| 395 | - "\n" + | |
| 396 | - "\n" + | |
| 397 | - "", | |
| 398 | - fragment: | |
| 399 | - "precision mediump float;\n" + | |
| 400 | - "\n" + | |
| 401 | - "uniform mediump vec4 uColor;\n" + | |
| 402 | - "uniform sampler2D sTexture;\n" + | |
| 403 | - "varying mediump vec2 vTexCoord;\n" + | |
| 404 | - "\n" + | |
| 405 | - "\n" + | |
| 406 | - "float uScale = 2.0; // {default:10.0, description:\"noise texture scaling\"} \n" + | |
| 407 | - "uniform float uThresh; // {default:1.1, description:\"threshold of noise for burn\"} \n" + | |
| 408 | - "\n" + | |
| 409 | - "float random( vec2 p )\n" + | |
| 410 | - "{\n" + | |
| 411 | - " float q = p.x * 269.5 + p.y * 183.3;\n" + | |
| 412 | - " return fract( sin( q ) * 43758.5453 );\n" + | |
| 413 | - "}\n" + | |
| 414 | - "\n" + | |
| 415 | - "float noise( vec2 point )\n" + | |
| 416 | - "{\n" + | |
| 417 | - " vec2 p = floor( point );\n" + | |
| 418 | - " vec2 f = fract( point );\n" + | |
| 419 | - " return mix(\n" + | |
| 420 | - " mix( random( p + vec2( 0.0, 0.0 ) ), random( p + vec2( 1.0, 0.0 ) ), f.x ),\n" + | |
| 421 | - " mix( random( p + vec2( 0.0, 1.0 ) ), random( p + vec2( 1.0, 1.0 ) ), f.x ),\n" + | |
| 422 | - " f.y\n" + | |
| 423 | - " );\n" + | |
| 424 | - "}\n" + | |
| 425 | - "\n" + | |
| 426 | - "float fractal( vec2 point )\n" + | |
| 427 | - "{\n" + | |
| 428 | - " float sum = 0.0;\n" + | |
| 429 | - " float scale = 0.5;\n" + | |
| 430 | - " for ( int i = 0; i < 5; i++ )\n" + | |
| 431 | - " {\n" + | |
| 432 | - " sum += noise( point ) * scale;\n" + | |
| 433 | - " point *= 2.0;\n" + | |
| 434 | - " scale /= 2.0;\n" + | |
| 435 | - " }\n" + | |
| 436 | - " \n" + | |
| 437 | - " return sum;\n" + | |
| 438 | - "}\n" + | |
| 439 | - "\n" + | |
| 440 | - "\n" + | |
| 441 | - "void main( )\n" + | |
| 442 | - "{\n" + | |
| 443 | - " vec2 point = vTexCoord.xy / uScale;\n" + | |
| 444 | - " //point.x += iGlobalTime * 0.1;\n" + | |
| 445 | - " float noise = fractal( point * 20.0 );\n" + | |
| 446 | - " \n" + | |
| 447 | - " vec2 uv = vTexCoord.xy; // iResolution.xy;\n" + | |
| 448 | - " //uv.y = 1.0-uv.y;\n" + | |
| 449 | - " gl_FragColor = texture2D(sTexture, uv);\n" + | |
| 450 | - " \n" + | |
| 451 | - " if(noise < uThresh)\n" + | |
| 452 | - " {\n" + | |
| 453 | - " gl_FragColor = vec4(1.0, 0.5, 0.0, 1.0);\n" + | |
| 454 | - " }\n" + | |
| 455 | - " if(noise < uThresh - 0.05)\n" + | |
| 456 | - " {\n" + | |
| 457 | - " gl_FragColor = vec4(1.0, 0.0, 0.0, 1.0);\n" + | |
| 458 | - " }\n" + | |
| 459 | - " if(noise < uThresh - 0.1)\n" + | |
| 460 | - " {\n" + | |
| 461 | - " \n" + | |
| 462 | - " gl_FragColor = vec4(0.0, 0.0, 0.0, 0.0); // use discard?\n" + | |
| 463 | - " }\n" + | |
| 464 | - "}\n" + | |
| 465 | - "\n" + | |
| 466 | - "\n" + | |
| 467 | - "" | |
| 468 | - }, | |
| 469 | - { | |
| 470 | - name: "ripple 2D", | |
| 471 | - hints: "", | |
| 472 | - animateTo: [ ["uAmplitude", 0.1, "Linear", 0, 3], | |
| 473 | - ["uTime", 6, "Linear", 0, 3] ], | |
| 474 | - vertex: "\n" + | |
| 475 | - "uniform mediump mat4 uModelView;\n" + | |
| 476 | - "uniform mediump mat4 uProjection;\n" + | |
| 477 | - "attribute mediump vec3 aPosition;\n" + | |
| 478 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 479 | - "varying mediump vec2 vTexCoord;\n" + | |
| 480 | - "\n" + | |
| 481 | - "void main(void)\n" + | |
| 482 | - "{\n" + | |
| 483 | - " gl_Position = uProjection * uModelView * vec4(aPosition, 1.0);\n" + | |
| 484 | - " vTexCoord = aTexCoord;\n" + | |
| 485 | - "}\n" + | |
| 486 | - "\n" + | |
| 487 | - "", | |
| 488 | - fragment: | |
| 489 | - "precision mediump float;\n" + | |
| 490 | - "\n" + | |
| 491 | - "uniform mediump vec4 uColor;\n" + | |
| 492 | - "uniform sampler2D sTexture;\n" + | |
| 493 | - "varying mediump vec2 vTexCoord;\n" + | |
| 494 | - "\n" + | |
| 495 | - "uniform float uAmplitude; // {default:0.02, min:0.0, max:1.0}\n" + | |
| 496 | - "uniform float uTime;\n" + | |
| 497 | - "uniform mediump vec4 sTextureRect;\n" + | |
| 498 | - "void main()\n" + | |
| 499 | - "{\n" + | |
| 500 | - " highp vec2 textureSize = sTextureRect.zw - sTextureRect.xy;\n" + | |
| 501 | - " highp vec2 pos = -1.0 + 2.0 * vTexCoord.st/textureSize;\n" + | |
| 502 | - " highp float len = length(pos);\n" + | |
| 503 | - " highp vec2 texCoord = vTexCoord.st/textureSize + pos/len * sin( len * 12.0 - uTime * 4.0 ) * uAmplitude; \n" + | |
| 504 | - " gl_FragColor = texture2D(sTexture, texCoord) * uColor;\n" + | |
| 505 | - "}\n" + | |
| 506 | - "\n" + | |
| 507 | - "\n" + | |
| 508 | - "" | |
| 509 | - }, | |
| 510 | - { | |
| 511 | - name: "emboss combine", | |
| 512 | - hints: "", | |
| 513 | - animateTo: [ ["uWeight", [10.0, 10.0, 10.0, 10.0], "Linear", 0, 3] ], | |
| 514 | - vertex: "\n" + | |
| 515 | - "uniform mediump mat4 uModelView;\n" + | |
| 516 | - "uniform mediump mat4 uProjection;\n" + | |
| 517 | - "attribute mediump vec3 aPosition;\n" + | |
| 518 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 519 | - "varying mediump vec2 vTexCoord;\n" + | |
| 520 | - "uniform mediump vec3 uSize;\n" + | |
| 521 | - "\n" + | |
| 522 | - "void main(void)\n" + | |
| 523 | - "{\n" + | |
| 524 | - " mediump vec3 vertexPosition = aPosition * uSize;\n" + | |
| 525 | - " gl_Position = uProjection * uModelView * vec4(vertexPosition, 1.0);\n" + | |
| 526 | - " vTexCoord = aTexCoord;\n" + | |
| 527 | - "}\n" + | |
| 528 | - "\n" + | |
| 529 | - "", | |
| 530 | - fragment: "precision mediump float;\n" + | |
| 531 | - "\n" + | |
| 532 | - "uniform mediump vec4 uColor;\n" + | |
| 533 | - "uniform sampler2D sTexture;\n" + | |
| 534 | - "varying mediump vec2 vTexCoord;\n" + | |
| 535 | - "\n" + | |
| 536 | - "const int KERNEL_SIZE = 9;\n" + | |
| 537 | - "\n" + | |
| 538 | - "uniform vec4 uWeight; // {default: [10,10,10,10] }\n" + | |
| 539 | - "\n" + | |
| 540 | - "// Gaussian kernel\n" + | |
| 541 | - "float kernel[KERNEL_SIZE];\n" + | |
| 542 | - "\n" + | |
| 543 | - "float width = 512.0;\n" + | |
| 544 | - "float height = 512.0;\n" + | |
| 545 | - "\n" + | |
| 546 | - "float step_w = 1.0/width;\n" + | |
| 547 | - "float step_h = 1.0/height;\n" + | |
| 548 | - "\n" + | |
| 549 | - "vec2 offset[KERNEL_SIZE];\n" + | |
| 550 | - "\n" + | |
| 551 | - "void main(void)\n" + | |
| 552 | - "{\n" + | |
| 553 | - " precision mediump float;\n" + | |
| 554 | - "\n" + | |
| 555 | - " vec4 sum = vec4(0.0);\n" + | |
| 556 | - "\n" + | |
| 557 | - " offset[0] = vec2(-step_w, -step_h);\n" + | |
| 558 | - " offset[1] = vec2(0.0, -step_h);\n" + | |
| 559 | - " offset[2] = vec2(step_w, -step_h);\n" + | |
| 560 | - "\n" + | |
| 561 | - " offset[3] = vec2(-step_w, 0.0);\n" + | |
| 562 | - " offset[4] = vec2(0.0, 0.0);\n" + | |
| 563 | - " offset[5] = vec2(step_w, 0.0);\n" + | |
| 564 | - "\n" + | |
| 565 | - " offset[6] = vec2(-step_w, step_h);\n" + | |
| 566 | - " offset[7] = vec2(0.0, step_h);\n" + | |
| 567 | - " offset[8] = vec2(step_w, step_h);\n" + | |
| 568 | - "\n" + | |
| 569 | - " // guassian blur\n" + | |
| 570 | - " // kernel[0] = 1.0/16.0; kernel[1] = 2.0/16.0; kernel[2] = 1.0/16.0;\n" + | |
| 571 | - " // kernel[3] = 2.0/16.0; kernel[4] = 4.0/16.0; kernel[5] = 2.0/16.0;\n" + | |
| 572 | - " // kernel[6] = 1.0/16.0; kernel[7] = 2.0/16.0; kernel[8] = 1.0/16.0;\n" + | |
| 573 | - "\n" + | |
| 574 | - " // laplace\n" + | |
| 575 | - " // kernel[0] = 0.0; kernel[1] = 1.0; kernel[2] = 0.0;\n" + | |
| 576 | - " // kernel[3] = 1.0; kernel[4] = -4.0; kernel[5] = 1.0;\n" + | |
| 577 | - " // kernel[6] = 0.0; kernel[7] = 1.0; kernel[8] = 0.0;\n" + | |
| 578 | - "\n" + | |
| 579 | - " // edge\n" + | |
| 580 | - " // kernel[0] = -1.0; kernel[1] = -1.0; kernel[2] = -1.0;\n" + | |
| 581 | - " // kernel[3] = -1.0; kernel[4] = +9.0; kernel[5] = -1.0;\n" + | |
| 582 | - " // kernel[6] = -1.0; kernel[7] = -1.0; kernel[8] = -1.0;\n" + | |
| 583 | - "\n" + | |
| 584 | - " // Embossing\n" + | |
| 585 | - " // 2 0 0\n" + | |
| 586 | - " // 0 -1 0\n" + | |
| 587 | - " // 0 0 -1\n" + | |
| 588 | - " kernel[0] = 2.0; kernel[1] = 0.0; kernel[2] = 0.0;\n" + | |
| 589 | - " kernel[3] = 0.0; kernel[4] = -1.0; kernel[5] = 0.0;\n" + | |
| 590 | - " kernel[6] = 0.0; kernel[7] = 0.0; kernel[8] =-1.0;\n" + | |
| 591 | - "\n" + | |
| 592 | - " vec4 tmp = texture2D(sTexture, vTexCoord.st + offset[0]);\n" + | |
| 593 | - " sum += tmp * kernel[0];\n" + | |
| 594 | - "\n" + | |
| 595 | - " tmp = texture2D(sTexture, vTexCoord.st + offset[1]);\n" + | |
| 596 | - " sum += tmp * kernel[1];\n" + | |
| 597 | - "\n" + | |
| 598 | - " tmp = texture2D(sTexture, vTexCoord.st + offset[2]);\n" + | |
| 599 | - " sum += tmp * kernel[2];\n" + | |
| 600 | - "\n" + | |
| 601 | - " tmp = texture2D(sTexture, vTexCoord.st + offset[3]);\n" + | |
| 602 | - " sum += tmp * kernel[3];\n" + | |
| 603 | - "\n" + | |
| 604 | - " tmp = texture2D(sTexture, vTexCoord.st + offset[4]);\n" + | |
| 605 | - " sum += tmp * kernel[4];\n" + | |
| 606 | - "\n" + | |
| 607 | - " tmp = texture2D(sTexture, vTexCoord.st + offset[5]);\n" + | |
| 608 | - " sum += tmp * kernel[5];\n" + | |
| 609 | - "\n" + | |
| 610 | - " tmp = texture2D(sTexture, vTexCoord.st + offset[6]);\n" + | |
| 611 | - " sum += tmp * kernel[6];\n" + | |
| 612 | - "\n" + | |
| 613 | - " tmp = texture2D(sTexture, vTexCoord.st + offset[7]);\n" + | |
| 614 | - " sum += tmp * kernel[7];\n" + | |
| 615 | - "\n" + | |
| 616 | - " tmp = texture2D(sTexture, vTexCoord.st + offset[8]);\n" + | |
| 617 | - " sum += tmp * kernel[8];\n" + | |
| 618 | - "\n" + | |
| 619 | - " sum = texture2D(sTexture, vTexCoord.xy) + (sum * uWeight);\n" + | |
| 620 | - "\n" + | |
| 621 | - " gl_FragColor = sum;\n" + | |
| 622 | - "}\n" | |
| 623 | - }, | |
| 624 | - { | |
| 625 | - name: "blur", | |
| 626 | - hints: "", | |
| 627 | - vertex: "\n" + | |
| 628 | - "uniform mediump mat4 uModelView;\n" + | |
| 629 | - "uniform mediump mat4 uProjection;\n" + | |
| 630 | - "uniform mediump vec3 uSize;\n" + | |
| 631 | - "attribute mediump vec3 aPosition;\n" + | |
| 632 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 633 | - "varying mediump vec2 vTexCoord;\n" + | |
| 634 | - "\n" + | |
| 635 | - "void main(void)\n" + | |
| 636 | - "{\n" + | |
| 637 | - " mediump vec3 vertexPosition = aPosition * uSize;\n" + | |
| 638 | - " gl_Position = uProjection * uModelView * vec4(vertexPosition, 1.0);\n" + | |
| 639 | - " vTexCoord = aTexCoord;\n" + | |
| 640 | - "}\n" + | |
| 641 | - "\n" + | |
| 642 | - "", | |
| 643 | - fragment: | |
| 644 | - "\n" + | |
| 645 | - "precision mediump float;\n" + | |
| 646 | - "\n" + | |
| 647 | - "uniform mediump vec4 uColor;\n" + | |
| 648 | - "uniform sampler2D sTexture;\n" + | |
| 649 | - "varying mediump vec2 vTexCoord;\n" + | |
| 650 | - "\n" + | |
| 651 | - "\n" + | |
| 652 | - "#define PI2 6.283184\n" + | |
| 653 | - "\n" + | |
| 654 | - "#define CV 0.1\n" + | |
| 655 | - "#define ST 0.05\n" + | |
| 656 | - "\n" + | |
| 657 | - "uniform float uFactor; // {default: 0.5, min:0.0, max:1.0}\n" + | |
| 658 | - "\n" + | |
| 659 | - "vec4 colorat(vec2 uv) {\n" + | |
| 660 | - " return texture2D(sTexture, uv);\n" + | |
| 661 | - "}\n" + | |
| 662 | - "vec4 blur(vec2 uv) { // convolve\n" + | |
| 663 | - " vec4 col = vec4(0.0);\n" + | |
| 664 | - " for(float r0 = 0.0; r0 < 1.0; r0 += ST) {\n" + | |
| 665 | - " float r = r0 * CV;\n" + | |
| 666 | - " for(float a0 = 0.0; a0 < 1.0; a0 += ST) {\n" + | |
| 667 | - " float a = a0 * PI2;\n" + | |
| 668 | - " col += colorat(uv + vec2(cos(a), sin(a)) * r);\n" + | |
| 669 | - " }\n" + | |
| 670 | - " }\n" + | |
| 671 | - " col *= ST * ST;\n" + | |
| 672 | - " return col;\n" + | |
| 673 | - "}\n" + | |
| 674 | - "\n" + | |
| 675 | - "\n" + | |
| 676 | - "\n" + | |
| 677 | - "void main() {\n" + | |
| 678 | - " vec2 uv = vTexCoord.xy;\n" + | |
| 679 | - " gl_FragColor = blur(uv) * uFactor + ((1.0-uFactor) * texture2D(sTexture, uv));\n" + | |
| 680 | - "}\n" + | |
| 681 | - "\n" | |
| 682 | - }, | |
| 683 | - {name: "image-click", | |
| 684 | - hints: "", | |
| 685 | - animateTo: [ ["uRadius", 0.3, "Linear", 0, 0.3] ], | |
| 686 | - vertex: "\n" + | |
| 687 | - "uniform mediump mat4 uModelView;\n" + | |
| 688 | - "uniform mediump mat4 uProjection;\n" + | |
| 689 | - "attribute mediump vec3 aPosition;\n" + | |
| 690 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 691 | - "varying mediump vec2 vTexCoord;\n" + | |
| 692 | - "uniform mediump vec3 uSize;\n" + | |
| 693 | - "\n" + | |
| 694 | - "void main(void)\n" + | |
| 695 | - "{\n" + | |
| 696 | - " mediump vec3 vertexPosition = aPosition * uSize;\n" + | |
| 697 | - " gl_Position = uProjection * uModelView * vec4(aPosition, 1.0);\n" + | |
| 698 | - " vTexCoord = aTexCoord;\n" + | |
| 699 | - "}\n" + | |
| 700 | - "\n" + | |
| 701 | - "", | |
| 702 | - fragment: | |
| 703 | - "precision lowp float;\n" + | |
| 704 | - "\n" + | |
| 705 | - "uniform mediump vec4 uColor;\n" + | |
| 706 | - "varying mediump vec2 vTexCoord;\n" + | |
| 707 | - "uniform sampler2D sTexture;\n" + | |
| 708 | - "\n" + | |
| 709 | - "uniform lowp float uRadius; // {default 0.2, min:0, max:0.3, description:\"touch radius and brightness mix\"\n" + | |
| 710 | - "vec2 offset = vec2(0.3,-0.2); // offset from center; for touch point (todo - make uniform)\n" + | |
| 711 | - "\n" + | |
| 712 | - "void main()\n" + | |
| 713 | - "{\n" + | |
| 714 | - " precision lowp float;\n" + | |
| 715 | - " lowp vec2 pos= vec2(vTexCoord.x-0.5-offset.x,vTexCoord.y-0.5-offset.y);\n" + | |
| 716 | - " lowp float radius = dot(pos, pos ) ;\n" + | |
| 717 | - "\n" + | |
| 718 | - " // use sRGB correction to brighten image\n" + | |
| 719 | - " vec4 col = texture2D( sTexture, vTexCoord ) * uColor;\n" + | |
| 720 | - " vec3 mask = vec3(greaterThan(col.rgb, vec3(0.0031308)));\n" + | |
| 721 | - " vec3 o = mix(col.rgb * 12.92, \n" + | |
| 722 | - " pow(col.rgb, vec3(1.0/2.4)) * 1.055 - 0.055, \n" + | |
| 723 | - " mask);\n" + | |
| 724 | - " \n" + | |
| 725 | - " vec3 diff = o - col.rgb;\n" + | |
| 726 | - " diff *= uRadius * 3.0;\n" + | |
| 727 | - " o = col.rgb + diff;\n" + | |
| 728 | - " \n" + | |
| 729 | - " gl_FragColor = vec4(o.r, o.g, o.b, col.a);\n" + | |
| 730 | - "\n" + | |
| 731 | - " if( radius <= (uRadius*uRadius) )\n" + | |
| 732 | - " {\n" + | |
| 733 | - " gl_FragColor += vec4(0.1);\n" + | |
| 734 | - " }\n" + | |
| 735 | - " \n" + | |
| 736 | - "}\n" + | |
| 737 | - "\n" + | |
| 738 | - "" | |
| 739 | - }, | |
| 740 | - {name: "iris effect", | |
| 741 | - hints: "", | |
| 742 | - animateTo: [ ["uRadius", 1.0, "Linear", 0, 0.3], | |
| 743 | - ["uCenter", [0.2, 0.2], "Linear", 0, 0.0], | |
| 744 | - ["uBlendFactor", 1.0, "Linear", 0, 0.0] | |
| 745 | - ], | |
| 746 | - vertex: | |
| 747 | - "\n" + | |
| 748 | - "uniform mediump mat4 uModelView;\n" + | |
| 749 | - "uniform mediump mat4 uProjection;\n" + | |
| 750 | - "attribute mediump vec3 aPosition;\n" + | |
| 751 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 752 | - "varying mediump vec2 vTexCoord;\n" + | |
| 753 | - "uniform mediump vec3 uSize;\n" + | |
| 754 | - "\n" + | |
| 755 | - "uniform mediump vec2 uCenter; // { default: [0.7, 0.7] } \n" + | |
| 756 | - "varying mediump vec2 vRelativePosition;\n" + | |
| 757 | - "\n" + | |
| 758 | - "void main()\n" + | |
| 759 | - "{\n" + | |
| 760 | - " mediump vec3 vertexPosition = aPosition * uSize;\n" + | |
| 761 | - " mediump vec4 world = uModelView * vec4(vertexPosition,1.0);\n" + | |
| 762 | - " gl_Position = uProjection * world;\n" + | |
| 763 | - "\n" + | |
| 764 | - " vTexCoord = aTexCoord;\n" + | |
| 765 | - " vRelativePosition = aTexCoord - uCenter;\n" + | |
| 766 | - "}\n" + | |
| 767 | - "\n" + | |
| 768 | - "\n" + | |
| 769 | - "", | |
| 770 | - fragment: | |
| 771 | - "\n" + | |
| 772 | - "uniform mediump vec4 uColor;\n" + | |
| 773 | - "uniform sampler2D sTexture;\n" + | |
| 774 | - "varying mediump vec2 vTexCoord;\n" + | |
| 775 | - "\n" + | |
| 776 | - "uniform mediump float uRadius; // {default:0.5} \n" + | |
| 777 | - "uniform mediump float uBlendFactor; // {default:2} \n" + | |
| 778 | - "varying mediump vec2 vRelativePosition;\n" + | |
| 779 | - "void main()\n" + | |
| 780 | - "{\n" + | |
| 781 | - " mediump float delta = (length(vRelativePosition) - uRadius);\n" + | |
| 782 | - " delta = clamp(0.0 - delta * uBlendFactor, 0.0, 1.0);\n" + | |
| 783 | - " gl_FragColor = texture2D(sTexture, vTexCoord) * uColor;\n" + | |
| 784 | - " gl_FragColor.a *= delta;\n" + | |
| 785 | - "}\n" + | |
| 786 | - "\n" + | |
| 787 | - "" | |
| 788 | - }, | |
| 789 | - {name: "mirror effect", | |
| 790 | - hints: "", | |
| 791 | - animateTo: [ ["uDepth", 0.5, "Linear", 0, 0.0], | |
| 792 | - ["uAlpha", 1.0, "Linear", 0, 0.0] | |
| 793 | - ], | |
| 794 | - vertex: | |
| 795 | - "\n" + | |
| 796 | - "uniform mediump mat4 uModelView;\n" + | |
| 797 | - "uniform mediump mat4 uProjection;\n" + | |
| 798 | - "attribute mediump vec3 aPosition;\n" + | |
| 799 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 800 | - "varying mediump vec2 vTexCoord;\n" + | |
| 801 | - "uniform mediump vec3 uSize;\n" + | |
| 802 | - "\n" + | |
| 803 | - "void main()\n" + | |
| 804 | - "{\n" + | |
| 805 | - " mediump vec3 pos = aPosition * uSize;\n" + | |
| 806 | - " pos.y = pos.y * 3.0;\n" + | |
| 807 | - " mediump vec4 world = uModelView * vec4(pos,1.0);\n" + | |
| 808 | - " gl_Position = uProjection * world;\n" + | |
| 809 | - " vTexCoord = aTexCoord;\n" + | |
| 810 | - "}\n" + | |
| 811 | - "\n" + | |
| 812 | - "", | |
| 813 | - fragment: | |
| 814 | - "\n" + | |
| 815 | - "uniform mediump vec4 uColor;\n" + | |
| 816 | - "uniform sampler2D sTexture;\n" + | |
| 817 | - "varying mediump vec2 vTexCoord;\n" + | |
| 818 | - "\n" + | |
| 819 | - "uniform mediump float uDepth; // {default: 0.3 }\n" + | |
| 820 | - "uniform mediump float uAlpha; // {default: 10.0 }\n" + | |
| 821 | - "void main()\n" + | |
| 822 | - "{\n" + | |
| 823 | - " if(vTexCoord.y < 1.0 / 3.0)\n" + | |
| 824 | - " {\n" + | |
| 825 | - " gl_FragColor = vec4(0.0, 0.0, 0.0, 0.0);\n" + | |
| 826 | - " }\n" + | |
| 827 | - " else if(vTexCoord.y < 2.0 / 3.0)\n" + | |
| 828 | - " {\n" + | |
| 829 | - " gl_FragColor = texture2D(sTexture, vec2(vTexCoord.x, vTexCoord.y * 3.0 - 1.0)) * uColor;\n" + | |
| 830 | - " gl_FragColor.a *= uAlpha;\n" + | |
| 831 | - " }\n" + | |
| 832 | - " else\n" + | |
| 833 | - " {\n" + | |
| 834 | - " highp float darkness = 3.0 - vTexCoord.y * 3.0;\n" + | |
| 835 | - " darkness = (1.0 - 1.0 / uDepth + darkness * 1.0/ uDepth) * 0.65;\n" + | |
| 836 | - " highp vec4 color = texture2D(sTexture, vec2(vTexCoord.x, -vTexCoord.y *3.0 + 3.0)) * uColor;\n" + | |
| 837 | - " color.a *= uAlpha;\n" + | |
| 838 | - " gl_FragColor = color * vec4(darkness, darkness, darkness, darkness);\n" + | |
| 839 | - " }\n" + | |
| 840 | - "}\n" + | |
| 841 | - "" | |
| 842 | - }, | |
| 843 | - {name: "square dissolve", | |
| 844 | - animateTo: [ ["uRows", 0.4, "Linear", 0, 0.0], | |
| 845 | - ["uColumns", 0.4, "Linear", 0, 0.0], | |
| 846 | - ["texSize", [100, 100], "Linear", 0, 0.0], | |
| 847 | - ["uStep", 1, "Linear", 0, 3.0] | |
| 848 | - ], | |
| 849 | - hints: " grid blending", | |
| 850 | - vertex: "\n" + | |
| 851 | - "uniform mediump mat4 uModelView;\n" + | |
| 852 | - "uniform mediump mat4 uProjection;\n" + | |
| 853 | - "attribute mediump vec3 aPosition;\n" + | |
| 854 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 855 | - "varying mediump vec2 vTexCoord;\n" + | |
| 856 | - "\n" + | |
| 857 | - "void main(void)\n" + | |
| 858 | - "{\n" + | |
| 859 | - " gl_Position = uProjection * uModelView * vec4(aPosition, 1.0);\n" + | |
| 860 | - " vTexCoord = aTexCoord;\n" + | |
| 861 | - "}\n" + | |
| 862 | - "\n" + | |
| 863 | - "", | |
| 864 | - fragment: | |
| 865 | - "\n" + | |
| 866 | - "uniform mediump vec4 uColor;\n" + | |
| 867 | - "uniform sampler2D sTexture;\n" + | |
| 868 | - "varying mediump vec2 vTexCoord;\n" + | |
| 869 | - "\n" + | |
| 870 | - "uniform mediump vec2 texSize;\n" + | |
| 871 | - "uniform mediump float uStep;\n" + | |
| 872 | - "uniform mediump float uRows;\n" + | |
| 873 | - "uniform mediump float uColumns;\n" + | |
| 874 | - "uniform sampler2D sTexture;\n" + | |
| 875 | - "void main()\n" + | |
| 876 | - "{\n" + | |
| 877 | - " mediump vec2 mosaicSize = vec2(1.0 / uRows, 1.0 / uColumns);\n" + | |
| 878 | - " mediump vec2 intXY = vec2(vTexCoord.x * texSize.x, vTexCoord.y * texSize.y);\n" + | |
| 879 | - " mediump vec2 XYMosaic = vec2(floor(intXY.x / mosaicSize.x) * mosaicSize.x, floor(intXY.y / mosaicSize.y) * mosaicSize.y);\n" + | |
| 880 | - " mediump vec2 UVMosaic = vec2(XYMosaic.x /texSize.x, XYMosaic.y / texSize.y);\n" + | |
| 881 | - " mediump vec4 noiseVec = texture2D(sEffect, UVMosaic);\n" + | |
| 882 | - " mediump float intensity = (noiseVec[0] + noiseVec[1] + noiseVec[2] + noiseVec[3]) / 4.0;\n" + | |
| 883 | - " if(intensity < uStep)\n" + | |
| 884 | - " gl_FragColor = vec4(0.1, 0.1, 0.1, 1.0);\n" + | |
| 885 | - " else\n" + | |
| 886 | - " gl_FragColor = texture2D(sTexture, vTexCoord);\n" + | |
| 887 | - " gl_FragColor *= uColor;\n" + | |
| 888 | - "}\n" + | |
| 889 | - "\n" + | |
| 890 | - "" | |
| 891 | - }, | |
| 892 | - {name: "swirl", | |
| 893 | - hints: " grid blending", | |
| 894 | - animateTo: [ ["uCenter", [0.5, 0.5], "Linear", 0, 0.0], | |
| 895 | - ["uTextureSize", [100, 100], "Linear", 0, 0.0], | |
| 896 | - ["uRadius", 1.0, "Linear", 0, 3.0], | |
| 897 | - ["uAngle", 3.0, "Linear", 0, 3.0] | |
| 898 | - ], | |
| 899 | - vertex: "\n" + | |
| 900 | - "uniform mediump mat4 uModelView;\n" + | |
| 901 | - "uniform mediump mat4 uProjection;\n" + | |
| 902 | - "attribute mediump vec3 aPosition;\n" + | |
| 903 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 904 | - "varying mediump vec2 vTexCoord;\n" + | |
| 905 | - "uniform mediump vec3 uSize;\n" + | |
| 906 | - "\n" + | |
| 907 | - "void main(void)\n" + | |
| 908 | - "{\n" + | |
| 909 | - " mediump vec3 vertexPosition = aPosition * uSize;\n" + | |
| 910 | - " gl_Position = uProjection * uModelView * vec4(vertexPosition, 1.0);\n" + | |
| 911 | - " vTexCoord = aTexCoord;\n" + | |
| 912 | - "}\n" + | |
| 913 | - "\n" + | |
| 914 | - "", | |
| 915 | - fragment: "\n" + | |
| 916 | - "uniform mediump vec4 uColor;\n" + | |
| 917 | - "uniform sampler2D sTexture;\n" + | |
| 918 | - "uniform mediump vec4 sTextureRect;\n" + | |
| 919 | - "\n" + | |
| 920 | - "uniform mediump vec2 uTextureSize;\n" + | |
| 921 | - "uniform highp float uRadius;\n" + | |
| 922 | - "uniform highp float uAngle;\n" + | |
| 923 | - "uniform mediump vec2 uCenter;\n" + | |
| 924 | - "varying mediump vec2 vTexCoord;\n" + | |
| 925 | - "void main()\n" + | |
| 926 | - "{\n" + | |
| 927 | - " highp vec2 textureCenter = (sTextureRect.xy + sTextureRect.zw) * 0.5;\n" + | |
| 928 | - " textureCenter = vTexCoord.st - textureCenter;\n" + | |
| 929 | - " highp float distance = length(textureCenter);\n" + | |
| 930 | - " if (distance >= uRadius)\n" + | |
| 931 | - " discard;\n" + | |
| 932 | - " highp float percent = (uRadius - distance) / uRadius;\n" + | |
| 933 | - " highp float theta = percent * percent * uAngle * 4.0;\n" + | |
| 934 | - " highp float sinTheta = sin(theta);\n" + | |
| 935 | - " highp float cosTheta = cos(theta);\n" + | |
| 936 | - "// if warp, loose the sign from sin\n" + | |
| 937 | - " bool warp = true;\n" + | |
| 938 | - " if( warp )\n" + | |
| 939 | - " {\n" + | |
| 940 | - " textureCenter = vec2( dot( textureCenter, vec2(cosTheta, sinTheta) ),\n" + | |
| 941 | - " dot( textureCenter, vec2(sinTheta, cosTheta) ) );\n" + | |
| 942 | - " }\n" + | |
| 943 | - " else\n" + | |
| 944 | - " {\n" + | |
| 945 | - " textureCenter = vec2( dot( textureCenter, vec2(cosTheta, -sinTheta) ),\n" + | |
| 946 | - " dot( textureCenter, vec2(sinTheta, cosTheta) ) );\n" + | |
| 947 | - " }\n" + | |
| 948 | - " textureCenter += uCenter;\n" + | |
| 949 | - " gl_FragColor = texture2D( sTexture, textureCenter ) * uColor;\n" + | |
| 950 | - "}\n" + | |
| 951 | - "\n" + | |
| 952 | - "\n" + | |
| 953 | - "" | |
| 954 | - }, | |
| 955 | - {name: "drop shadow", | |
| 956 | - vertex: | |
| 957 | - "\n" + | |
| 958 | - "uniform mediump mat4 uModelView;\n" + | |
| 959 | - "uniform mediump mat4 uProjection;\n" + | |
| 960 | - "attribute mediump vec3 aPosition;\n" + | |
| 961 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 962 | - "varying mediump vec2 vTexCoord;\n" + | |
| 963 | - "uniform mediump vec3 uSize;\n" + | |
| 964 | - "\n" + | |
| 965 | - "void main()\n" + | |
| 966 | - "{\n" + | |
| 967 | - " mediump vec3 pos = aPosition * uSize;\n" + | |
| 968 | - " pos.y = pos.y * 1.1; \n" + | |
| 969 | - " pos.x = pos.x * 1.1;\n" + | |
| 970 | - " \n" + | |
| 971 | - " mediump vec4 world = uModelView * vec4(pos,1.0);\n" + | |
| 972 | - " gl_Position = uProjection * world;\n" + | |
| 973 | - " vTexCoord = aTexCoord;\n" + | |
| 974 | - "}\n" + | |
| 975 | - "\n" + | |
| 976 | - "\n" + | |
| 977 | - "", | |
| 978 | - fragment: | |
| 979 | - "\n" + | |
| 980 | - "uniform mediump vec4 uColor;\n" + | |
| 981 | - "uniform sampler2D sTexture;\n" + | |
| 982 | - "varying mediump vec2 vTexCoord;\n" + | |
| 983 | - "\n" + | |
| 984 | - "void main()\n" + | |
| 985 | - "{\n" + | |
| 986 | - " if(vTexCoord.y < 0.05)\n" + | |
| 987 | - " {\n" + | |
| 988 | - " discard;\n" + | |
| 989 | - " gl_FragColor = vec4(0.0, 0.0, 1.0, 1.0);\n" + | |
| 990 | - " }\n" + | |
| 991 | - " else if(vTexCoord.x < 0.05)\n" + | |
| 992 | - " {\n" + | |
| 993 | - " discard;\n" + | |
| 994 | - " gl_FragColor = vec4(0.0, 0.0, 1.0, 1.0);\n" + | |
| 995 | - " }\n" + | |
| 996 | - " else if(vTexCoord.y < 0.95 && vTexCoord.x < 0.95)\n" + | |
| 997 | - " {\n" + | |
| 998 | - " gl_FragColor = texture2D(sTexture, vec2(vTexCoord.x/ (1.0/1.1) - 0.05, vTexCoord.y / (1.0/1.0) - 0.05 )) * uColor;\n" + | |
| 999 | - " }\n" + | |
| 1000 | - " else\n" + | |
| 1001 | - " {\n" + | |
| 1002 | - " if(vTexCoord.y < 0.1 || vTexCoord.x < 0.1)\n" + | |
| 1003 | - " {\n" + | |
| 1004 | - " discard;\n" + | |
| 1005 | - " }\n" + | |
| 1006 | - " else\n" + | |
| 1007 | - " {\n" + | |
| 1008 | - " gl_FragColor = vec4(0.2, 0.2, 0.2, 1.0);\n" + | |
| 1009 | - " }\n" + | |
| 1010 | - " }\n" + | |
| 1011 | - "}\n" + | |
| 1012 | - "\n" + | |
| 1013 | - "\n" + | |
| 1014 | - "", | |
| 1015 | - hints: "" | |
| 1016 | - }, | |
| 1017 | - { | |
| 1018 | - name: "noise", | |
| 1019 | - hints: "", | |
| 1020 | - vertex: "\n" + | |
| 1021 | - "uniform mediump mat4 uModelView;\n" + | |
| 1022 | - "uniform mediump mat4 uProjection;\n" + | |
| 1023 | - "attribute mediump vec3 aPosition;\n" + | |
| 1024 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 1025 | - "varying mediump vec2 vTexCoord;\n" + | |
| 1026 | - "uniform mediump vec3 uSize; \n" + | |
| 1027 | - "\n" + | |
| 1028 | - "void main(void)\n" + | |
| 1029 | - "{\n" + | |
| 1030 | - " mediump vec3 vertexPosition = aPosition * uSize;\n" + | |
| 1031 | - "\n" + | |
| 1032 | - " gl_Position = uProjection * uModelView * vec4(vertexPosition, 1.0);\n" + | |
| 1033 | - " vTexCoord = aTexCoord;\n" + | |
| 1034 | - "}\n" + | |
| 1035 | - "\n" + | |
| 1036 | - "", | |
| 1037 | - fragment: | |
| 1038 | - "\n" + | |
| 1039 | - "precision mediump float;\n" + | |
| 1040 | - "\n" + | |
| 1041 | - "uniform mediump vec4 uColor;\n" + | |
| 1042 | - "varying mediump vec2 vTexCoord;\n" + | |
| 1043 | - "\n" + | |
| 1044 | - "// noise\n" + | |
| 1045 | - "float noise(vec2 pos)\n" + | |
| 1046 | - "{\n" + | |
| 1047 | - " return fract( sin( dot(pos*0.001 ,vec2(24.12357, 36.789) ) ) * 12345.123);\n" + | |
| 1048 | - "}\n" + | |
| 1049 | - "\n" + | |
| 1050 | - "\n" + | |
| 1051 | - "// blur noise\n" + | |
| 1052 | - "float smooth_noise(vec2 pos)\n" + | |
| 1053 | - "{\n" + | |
| 1054 | - " return ( noise(pos + vec2(1,1)) + noise(pos + vec2(1,1)) + noise(pos + vec2(1,1)) + noise(pos + vec2(1,1)) ) / 16.0\n" + | |
| 1055 | - " + ( noise(pos + vec2(1,0)) + noise(pos + vec2(-1,0)) + noise(pos + vec2(0,1)) + noise(pos + vec2(0,-1)) ) / 8.0\n" + | |
| 1056 | - " + noise(pos) / 4.0;\n" + | |
| 1057 | - "}\n" + | |
| 1058 | - "\n" + | |
| 1059 | - "\n" + | |
| 1060 | - "// linear interpolation\n" + | |
| 1061 | - "float interpolate_noise(vec2 pos)\n" + | |
| 1062 | - "{\n" + | |
| 1063 | - "float a, b, c, d;\n" + | |
| 1064 | - " \n" + | |
| 1065 | - " a = smooth_noise(floor(pos));\n" + | |
| 1066 | - " b = smooth_noise(vec2(floor(pos.x+1.0), floor(pos.y)));\n" + | |
| 1067 | - " c = smooth_noise(vec2(floor(pos.x), floor(pos.y+1.0)));\n" + | |
| 1068 | - " d = smooth_noise(vec2(floor(pos.x+1.0), floor(pos.y+1.0)));\n" + | |
| 1069 | - "\n" + | |
| 1070 | - " a = mix(a, b, fract(pos.x));\n" + | |
| 1071 | - " b = mix(c, d, fract(pos.x));\n" + | |
| 1072 | - " a = mix(a, b, fract(pos.y));\n" + | |
| 1073 | - " \n" + | |
| 1074 | - " return a;\n" + | |
| 1075 | - "}\n" + | |
| 1076 | - "\n" + | |
| 1077 | - "\n" + | |
| 1078 | - "float perlin_noise(vec2 pos)\n" + | |
| 1079 | - "{\n" + | |
| 1080 | - " float n;\n" + | |
| 1081 | - " \n" + | |
| 1082 | - " n = interpolate_noise(pos*0.0625)*0.5;\n" + | |
| 1083 | - " n += interpolate_noise(pos*0.125)*0.25;\n" + | |
| 1084 | - " n += interpolate_noise(pos*0.025)*0.225;\n" + | |
| 1085 | - " n += interpolate_noise(pos*0.05)*0.0625;\n" + | |
| 1086 | - " n += interpolate_noise(pos)*0.03125;\n" + | |
| 1087 | - " return n;\n" + | |
| 1088 | - "}\n" + | |
| 1089 | - "\n" + | |
| 1090 | - "\n" + | |
| 1091 | - "\n" + | |
| 1092 | - "void main()\n" + | |
| 1093 | - "{\n" + | |
| 1094 | - " vec2 pos = vTexCoord.xy;\n" + | |
| 1095 | - " float c, n;\n" + | |
| 1096 | - "\n" + | |
| 1097 | - "\n" + | |
| 1098 | - " n = perlin_noise(pos);\n" + | |
| 1099 | - "\n" + | |
| 1100 | - "\n" + | |
| 1101 | - " vec2 p = pos; // / iResolution.xy;\n" + | |
| 1102 | - "\n" + | |
| 1103 | - " if(p.y < 0.333) // last row\n" + | |
| 1104 | - "{\n" + | |
| 1105 | - " \n" + | |
| 1106 | - " if(p.x < 0.333)\n" + | |
| 1107 | - " c = abs(cos(n*10.0));\n" + | |
| 1108 | - " else if(p.x < 0.666)\n" + | |
| 1109 | - " c = cos(pos.x*0.02 + n*10.0);//*0.5+0.5;\n" + | |
| 1110 | - " else\n" + | |
| 1111 | - " {\n" + | |
| 1112 | - " pos *= 0.05;\n" + | |
| 1113 | - " c = abs(sin(pos.x+n*5.0)*cos(pos.y+n*5.0));\n" + | |
| 1114 | - " }\n" + | |
| 1115 | - " }\n" + | |
| 1116 | - " else if(p.y < 0.666) // middle row\n" + | |
| 1117 | - " {\n" + | |
| 1118 | - " \n" + | |
| 1119 | - " if(p.x < 0.333)\n" + | |
| 1120 | - " {\n" + | |
| 1121 | - " pos *= 0.05;\n" + | |
| 1122 | - " pos += vec2(10.0, 10.0);\n" + | |
| 1123 | - " c = sqrt(pos.x * pos.x + pos.y * pos.y);\n" + | |
| 1124 | - " c = fract(c+n);\n" + | |
| 1125 | - " }\n" + | |
| 1126 | - " else if(p.x < 0.666)\n" + | |
| 1127 | - " {\n" + | |
| 1128 | - " c = max(1.0 - mod(pos.x*0.5, 80.3+n*4.0)*0.5, 1.0 - mod(pos.y*0.5, 80.3+n*4.0)*0.5);\n" + | |
| 1129 | - " c = max(c, 0.5*max(1.0 - mod(pos.x*0.5+40.0, 80.3+n*4.0)*0.5, 1.0 - mod(pos.y*0.5+40.0, 80.3+n*4.0)*0.5));\n" + | |
| 1130 | - " }\n" + | |
| 1131 | - " else\n" + | |
| 1132 | - " c = abs(cos(pos.x*0.1 + n*20.0));// mod(pos.x*0.1, cos(pos.x));\n" + | |
| 1133 | - " }\n" + | |
| 1134 | - " else // first row\n" + | |
| 1135 | - " {\n" + | |
| 1136 | - " if(p.x < 0.333)\n" + | |
| 1137 | - " c = noise(pos);\n" + | |
| 1138 | - " else if(p.x < 0.666)\n" + | |
| 1139 | - " c = n;\n" + | |
| 1140 | - " else\n" + | |
| 1141 | - " c =max(fract(n*20.0), max(fract(n*5.0), fract(n*10.0)));\n" + | |
| 1142 | - " }\n" + | |
| 1143 | - "\n" + | |
| 1144 | - " gl_FragColor = vec4(c, c, c, 1.0);\n" + | |
| 1145 | - "}\n" + | |
| 1146 | - "\n" + | |
| 1147 | - "" | |
| 1148 | - } | |
| 1149 | -]; | |
| 1150 | - | |
| 1151 | -// | |
| 1152 | -// Demo Javascript snippets | |
| 1153 | -// | |
| 1154 | -// | |
| 1155 | -var javascriptSources = | |
| 1156 | -[ | |
| 1157 | - { | |
| 1158 | - name: "XX. Regression tests", | |
| 1159 | - source: "\n" + | |
| 1160 | - "clear();\n" + | |
| 1161 | - "var test = new Test();\n" + | |
| 1162 | - "test.regression(); // results in developer console (F12)\n" + | |
| 1163 | - "\n" | |
| 1164 | - }, | |
| 1165 | - { | |
| 1166 | - name: "10. ImageView", | |
| 1167 | - source:"\n" + | |
| 1168 | - "var a = new dali.ImageView();\n" + | |
| 1169 | - "\n" + | |
| 1170 | - "var img = imageFromUiBuffer(\"field\");\n" + | |
| 1171 | - "\n" + | |
| 1172 | - "a.setImage(img);\n" + | |
| 1173 | - "\n" + | |
| 1174 | - "a.size = [100,100,1];\n" + | |
| 1175 | - "\n" + | |
| 1176 | - "dali.stage.add(a)\n" + | |
| 1177 | - "" | |
| 1178 | - }, | |
| 1179 | - { | |
| 1180 | - name: "01. Colored Quad", | |
| 1181 | - source: "var halfQuadSize = 0.5;\n" + | |
| 1182 | - "\n" + | |
| 1183 | - "// using helper function to create property buffer\n" + | |
| 1184 | - "var verts = dali.createPropertyBuffer( {format: [ [\"aPosition\", dali.PropertyType.VECTOR3],\n" + | |
| 1185 | - " [\"aCol\", dali.PropertyType.VECTOR4] ],\n" + | |
| 1186 | - " data: { \"aPosition\": [ [-halfQuadSize, -halfQuadSize, 0.0],\n" + | |
| 1187 | - " [+halfQuadSize, -halfQuadSize, 0.0],\n" + | |
| 1188 | - " [-halfQuadSize, +halfQuadSize, 0.0],\n" + | |
| 1189 | - " [+halfQuadSize, +halfQuadSize, 0.0]\n" + | |
| 1190 | - " ],\n" + | |
| 1191 | - " \"aCol\": [ [0, 0, 0, 1],\n" + | |
| 1192 | - " [1, 0, 1, 1],\n" + | |
| 1193 | - " [0, 1, 0, 1],\n" + | |
| 1194 | - " [1, 1, 1, 1]\n" + | |
| 1195 | - " ]\n" + | |
| 1196 | - " }\n" + | |
| 1197 | - " }\n" + | |
| 1198 | - " );\n" + | |
| 1199 | - "\n" + | |
| 1200 | - "var indices = dali.createPropertyBuffer( { format: [ [\"indices\", dali.PropertyType.INTEGER]],\n" + | |
| 1201 | - " data: { \"indices\": [0, 3, 1, 0, 2, 3] } } ) ;\n" + | |
| 1202 | - "\n" + | |
| 1203 | - "var geometry = new dali.Geometry();\n" + | |
| 1204 | - "\n" + | |
| 1205 | - "geometry.addVertexBuffer(verts);\n" + | |
| 1206 | - "geometry.setIndexBuffer(indices);\n" + | |
| 1207 | - "\n" + | |
| 1208 | - "var vertex = \"\" +\n" + | |
| 1209 | - " \"attribute mediump vec3 aPosition;\" +\n" + | |
| 1210 | - " \"attribute mediump vec4 aCol;\" +\n" + | |
| 1211 | - " \"uniform mediump mat4 uMvpMatrix;\" +\n" + | |
| 1212 | - " \"uniform mediump vec3 uSize;\" +\n" + | |
| 1213 | - " \"uniform lowp vec4 uColor;\" +\n" + | |
| 1214 | - " \"varying lowp vec4 vColor;\" +\n" + | |
| 1215 | - " \"\" +\n" + | |
| 1216 | - " \"void main()\" +\n" + | |
| 1217 | - " \"{\" +\n" + | |
| 1218 | - " \" vColor = aCol * uColor;\" +\n" + | |
| 1219 | - " \" mediump vec4 vertexPosition = vec4(aPosition,1.0);\" +\n" + | |
| 1220 | - " \" vertexPosition.xyz *= uSize;\" +\n" + | |
| 1221 | - " \" gl_Position = uMvpMatrix * vertexPosition;\" +\n" + | |
| 1222 | - " \"}\";\n" + | |
| 1223 | - "\n" + | |
| 1224 | - "var fragment = \"\" +\n" + | |
| 1225 | - " \"varying lowp vec4 vColor;\" +\n" + | |
| 1226 | - " \"uniform lowp vec4 uColor;\" +\n" + | |
| 1227 | - " \"\" +\n" + | |
| 1228 | - " \"void main()\" +\n" + | |
| 1229 | - " \"{\" +\n" + | |
| 1230 | - " \" gl_FragColor = vColor * uColor;\" +\n" + | |
| 1231 | - " \"}\";\n" + | |
| 1232 | - "\n" + | |
| 1233 | - "var shader = new dali.Shader(vertex, fragment, dali.ShaderHints.HINT_NONE);\n" + | |
| 1234 | - "\n" + | |
| 1235 | - "var material = new dali.Material(shader);\n" + | |
| 1236 | - "\n" + | |
| 1237 | - "var renderer = new dali.Renderer(geometry, material);\n" + | |
| 1238 | - "\n" + | |
| 1239 | - "var actor = new dali.Actor();\n" + | |
| 1240 | - "\n" + | |
| 1241 | - "actor.addRenderer(renderer);\n" + | |
| 1242 | - "\n" + | |
| 1243 | - "dali.stage.add(actor);\n" + | |
| 1244 | - "\n" + | |
| 1245 | - "actor.parentOrigin = [0.5, 0.5, 0.0];\n" + | |
| 1246 | - "actor.size = [100,100,1];\n" + | |
| 1247 | - "\n" + | |
| 1248 | - "" | |
| 1249 | - }, | |
| 1250 | - { | |
| 1251 | - name: "02. Textured Quad", | |
| 1252 | - source: "var halfQuadSize = 0.5;\n" + | |
| 1253 | - "\n" + | |
| 1254 | - "// using helper function to create property buffer\n" + | |
| 1255 | - "var verts = dali.createPropertyBuffer( {format: [ [\"aPosition\", dali.PropertyType.VECTOR3],\n" + | |
| 1256 | - " [\"aTexCoord\", dali.PropertyType.VECTOR2] ],\n" + | |
| 1257 | - " data: { \"aPosition\": [ [-halfQuadSize, -halfQuadSize, 0.0],\n" + | |
| 1258 | - " [+halfQuadSize, -halfQuadSize, 0.0],\n" + | |
| 1259 | - " [-halfQuadSize, +halfQuadSize, 0.0],\n" + | |
| 1260 | - " [+halfQuadSize, +halfQuadSize, 0.0]\n" + | |
| 1261 | - " ],\n" + | |
| 1262 | - " \"aTexCoord\": [ [0, 0],\n" + | |
| 1263 | - " [1, 0],\n" + | |
| 1264 | - " [0, 1],\n" + | |
| 1265 | - " [1, 1]\n" + | |
| 1266 | - " ]\n" + | |
| 1267 | - " }\n" + | |
| 1268 | - " });\n" + | |
| 1269 | - "\n" + | |
| 1270 | - "var indices = dali.createPropertyBuffer( { format: [ [\"indices\", dali.PropertyType.INTEGER]],\n" + | |
| 1271 | - " data: { \"indices\": [0, 3, 1, 0, 2, 3] } } ) ;\n" + | |
| 1272 | - "\n" + | |
| 1273 | - "var geometry = new dali.Geometry();\n" + | |
| 1274 | - "\n" + | |
| 1275 | - "geometry.addVertexBuffer(verts);\n" + | |
| 1276 | - "geometry.setIndexBuffer(indices);\n" + | |
| 1277 | - "\n" + | |
| 1278 | - "var shader = shaderFromUiBuffer(\"pass through texture\");\n" + | |
| 1279 | - "\n" + | |
| 1280 | - "var material = new dali.Material(shader);\n" + | |
| 1281 | - "\n" + | |
| 1282 | - "var image = imageFromUiBuffer(\"ducks\");\n" + | |
| 1283 | - "var sampler = new dali.Sampler();\n" + | |
| 1284 | - "material.addTexture(image, \"sTexture\", sampler);\n" + | |
| 1285 | - "\n" + | |
| 1286 | - "var renderer = new dali.Renderer(geometry, material);\n" + | |
| 1287 | - "\n" + | |
| 1288 | - "var actor = new dali.Actor();\n" + | |
| 1289 | - "\n" + | |
| 1290 | - "actor.addRenderer(renderer);\n" + | |
| 1291 | - "\n" + | |
| 1292 | - "dali.stage.add(actor);\n" + | |
| 1293 | - "\n" + | |
| 1294 | - "actor.parentOrigin = [0.5, 0.5, 0.0];\n" + | |
| 1295 | - "actor.size = [100,100,1];\n" + | |
| 1296 | - "\n" + | |
| 1297 | - "\n" + | |
| 1298 | - "" | |
| 1299 | - }, | |
| 1300 | - { | |
| 1301 | - name: "03. Shaded Quads", | |
| 1302 | - source: "var halfQuadSize = 0.5;\n" + | |
| 1303 | - "\n" + | |
| 1304 | - "// using helper function to create property buffer\n" + | |
| 1305 | - "var verts = dali.createPropertyBuffer( {format: [ [\"aPosition\", dali.PropertyType.VECTOR3],\n" + | |
| 1306 | - " [\"aTexCoord\", dali.PropertyType.VECTOR2] ],\n" + | |
| 1307 | - " data: { \"aPosition\": [ [-halfQuadSize, -halfQuadSize, 0.0],\n" + | |
| 1308 | - " [+halfQuadSize, -halfQuadSize, 0.0],\n" + | |
| 1309 | - " [-halfQuadSize, +halfQuadSize, 0.0],\n" + | |
| 1310 | - " [+halfQuadSize, +halfQuadSize, 0.0]\n" + | |
| 1311 | - " ],\n" + | |
| 1312 | - " \"aTexCoord\": [ [0, 0],\n" + | |
| 1313 | - " [1, 0],\n" + | |
| 1314 | - " [0, 1],\n" + | |
| 1315 | - " [1, 1]\n" + | |
| 1316 | - " ]\n" + | |
| 1317 | - " }\n" + | |
| 1318 | - " });\n" + | |
| 1319 | - "\n" + | |
| 1320 | - "\n" + | |
| 1321 | - "var indices = dali.createPropertyBuffer( { format: [ [\"indices\", dali.PropertyType.INTEGER]],\n" + | |
| 1322 | - " data: { \"indices\": [0, 3, 1, 0, 2, 3] } } ) ;\n" + | |
| 1323 | - "\n" + | |
| 1324 | - "var geometry = new dali.Geometry();\n" + | |
| 1325 | - "\n" + | |
| 1326 | - "geometry.addVertexBuffer(verts);\n" + | |
| 1327 | - "geometry.setIndexBuffer(indices);\n" + | |
| 1328 | - "\n" + | |
| 1329 | - "\n" + | |
| 1330 | - "// some shader buffers for textured quad\n" + | |
| 1331 | - "var names = [\"adjust brightness\", \"blur\", \"burn\", \"drop shadow\", \"emboss combine\",\n" + | |
| 1332 | - " \"image-click\", \"melt\", \"ripple 2D\", \"mirror effect\", \"iris effect\",\n" + | |
| 1333 | - " \"mosaic\", \"round window\", \"swirl\", \"noise\"];\n" + | |
| 1334 | - "\n" + | |
| 1335 | - "var n = Math.floor(Math.sqrt(names.length));\n" + | |
| 1336 | - "var c = 0;\n" + | |
| 1337 | - "var x = -(0.5*n*100);\n" + | |
| 1338 | - "var y = -(0.5*n*100);\n" + | |
| 1339 | - "\n" + | |
| 1340 | - "for(var i = 0; i < names.length; i++) {\n" + | |
| 1341 | - " var shader = shaderFromUiBuffer(names[i]);\n" + | |
| 1342 | - "\n" + | |
| 1343 | - " var material = new dali.Material(shader);\n" + | |
| 1344 | - "\n" + | |
| 1345 | - " var image = imageFromUiBuffer(\"ducks\");\n" + | |
| 1346 | - " var sampler = new dali.Sampler();\n" + | |
| 1347 | - " material.addTexture(image, \"sTexture\", sampler);\n" + | |
| 1348 | - "\n" + | |
| 1349 | - " var renderer = new dali.Renderer(geometry, material);\n" + | |
| 1350 | - "\n" + | |
| 1351 | - " var actor = new dali.Actor();\n" + | |
| 1352 | - "\n" + | |
| 1353 | - " actor.name = \"actor for shader:\" + names[i];\n" + | |
| 1354 | - "\n" + | |
| 1355 | - " actor.addRenderer(renderer);\n" + | |
| 1356 | - "\n" + | |
| 1357 | - " dali.stage.add(actor);\n" + | |
| 1358 | - "\n" + | |
| 1359 | - " actor.parentOrigin = [0.5, 0.5, 0.0];\n" + | |
| 1360 | - " actor.size = [100,100,1];\n" + | |
| 1361 | - "\n" + | |
| 1362 | - " actor.position = [x,\n" + | |
| 1363 | - " y + (c*110), \n" + | |
| 1364 | - " 0];\n" + | |
| 1365 | - "\n" + | |
| 1366 | - " if(c>n) {\n" + | |
| 1367 | - " c = 0;\n" + | |
| 1368 | - " x += 110;\n" + | |
| 1369 | - " } else {\n" + | |
| 1370 | - " c += 1;\n" + | |
| 1371 | - " }\n" + | |
| 1372 | - "\n" + | |
| 1373 | - "}\n" + | |
| 1374 | - "\n" + | |
| 1375 | - "" | |
| 1376 | - }, | |
| 1377 | - { | |
| 1378 | - name: "04. Animation", | |
| 1379 | - source: "var halfQuadSize = 0.5;\n" + | |
| 1380 | - "\n" + | |
| 1381 | - "// use helper function to create property buffer\n" + | |
| 1382 | - "var verts = dali.createPropertyBuffer( {format: [ [\"aPosition\", dali.PropertyType.VECTOR3],\n" + | |
| 1383 | - " [\"aTexCoord\", dali.PropertyType.VECTOR2] ],\n" + | |
| 1384 | - " data: { \"aPosition\": [ [-halfQuadSize, -halfQuadSize, 0.0],\n" + | |
| 1385 | - " [+halfQuadSize, -halfQuadSize, 0.0],\n" + | |
| 1386 | - " [-halfQuadSize, +halfQuadSize, 0.0],\n" + | |
| 1387 | - " [+halfQuadSize, +halfQuadSize, 0.0]\n" + | |
| 1388 | - " ],\n" + | |
| 1389 | - " \"aTexCoord\": [ [0, 0],\n" + | |
| 1390 | - " [1, 0],\n" + | |
| 1391 | - " [0, 1],\n" + | |
| 1392 | - " [1, 1]\n" + | |
| 1393 | - " ]\n" + | |
| 1394 | - " }\n" + | |
| 1395 | - " });\n" + | |
| 1396 | - "\n" + | |
| 1397 | - "var indices = dali.createPropertyBuffer( { format: [ [\"indices\", dali.PropertyType.INTEGER]],\n" + | |
| 1398 | - " data: { \"indices\": [0, 3, 1, 0, 2, 3] } } ) ;\n" + | |
| 1399 | - "\n" + | |
| 1400 | - "var geometry = new dali.Geometry();\n" + | |
| 1401 | - "\n" + | |
| 1402 | - "geometry.addVertexBuffer(verts);\n" + | |
| 1403 | - "geometry.setIndexBuffer(indices);\n" + | |
| 1404 | - "\n" + | |
| 1405 | - "var vertex = \"\" + \n" + | |
| 1406 | - " \"// atributes\\n\" + \n" + | |
| 1407 | - " \"attribute mediump vec3 aPosition;\\n\" + \n" + | |
| 1408 | - " \"attribute mediump vec2 aTexCoord;\\n\" + \n" + | |
| 1409 | - " \"// inbuilt\\n\" + \n" + | |
| 1410 | - " \"uniform mediump mat4 uMvpMatrix;\\n\" + \n" + | |
| 1411 | - " \"uniform mediump vec3 uSize;\\n\" + \n" + | |
| 1412 | - " \"uniform lowp vec4 uColor;\\n\" + \n" + | |
| 1413 | - " \"// varying\\n\" + \n" + | |
| 1414 | - " \"varying mediump vec2 vTexCoord;\\n\" + \n" + | |
| 1415 | - " \"\\n\" + \n" + | |
| 1416 | - " \"void main()\\n\" + \n" + | |
| 1417 | - " \"{\\n\" + \n" + | |
| 1418 | - " \" mediump vec4 vertexPosition = vec4(aPosition, 1.0);\\n\" + \n" + | |
| 1419 | - " \" vertexPosition.xyz *= uSize;\\n\" + \n" + | |
| 1420 | - " \" gl_Position = uMvpMatrix * vertexPosition;\\n\" + \n" + | |
| 1421 | - " \" vTexCoord = aTexCoord;\\n\" + \n" + | |
| 1422 | - " \"}\";\n" + | |
| 1423 | - "\n" + | |
| 1424 | - "var fragment = \"\" + \n" + | |
| 1425 | - " \"uniform lowp vec4 uColor;\\n\" + \n" + | |
| 1426 | - " \"uniform sampler2D sTexture;\\n\" + \n" + | |
| 1427 | - " \"varying mediump vec2 vTexCoord;\\n\" + \n" + | |
| 1428 | - " \"\\n\" + \n" + | |
| 1429 | - " \"void main()\\n\" + \n" + | |
| 1430 | - " \"{\\n\" + \n" + | |
| 1431 | - " \" gl_FragColor = texture2D(sTexture, vTexCoord) * uColor;\\n\" + \n" + | |
| 1432 | - " \"}\";\n" + | |
| 1433 | - "\n" + | |
| 1434 | - "var shader = new dali.Shader(vertex, fragment, dali.ShaderHints.HINT_NONE);\n" + | |
| 1435 | - "\n" + | |
| 1436 | - "var material = new dali.Material(shader);\n" + | |
| 1437 | - "\n" + | |
| 1438 | - "var image = imageFromUiBuffer(\"ducks\");\n" + | |
| 1439 | - "var sampler = new dali.Sampler();\n" + | |
| 1440 | - "material.addTexture(image, \"sTexture\",sampler);\n" + | |
| 1441 | - "\n" + | |
| 1442 | - "var renderer = new dali.Renderer(geometry, material);\n" + | |
| 1443 | - "\n" + | |
| 1444 | - "var actor = new dali.Actor();\n" + | |
| 1445 | - "\n" + | |
| 1446 | - "actor.addRenderer(renderer);\n" + | |
| 1447 | - "\n" + | |
| 1448 | - "dali.stage.add(actor);\n" + | |
| 1449 | - "\n" + | |
| 1450 | - "actor.parentOrigin = [0.5, 0.5, 0.0];\n" + | |
| 1451 | - "actor.size = [100,100,1];\n" + | |
| 1452 | - "\n" + | |
| 1453 | - "\n" + | |
| 1454 | - "var animation = new dali.Animation(9);\n" + | |
| 1455 | - "\n" + | |
| 1456 | - "animation.animateTo(actor, \"orientation\", [0,90,0], \"linear\", 0, 3);\n" + | |
| 1457 | - "animation.animateTo(actor, \"orientation\", [0,0,0], \"linear\", 6, 3);\n" + | |
| 1458 | - "\n" + | |
| 1459 | - "var p = new dali.Path();\n" + | |
| 1460 | - "\n" + | |
| 1461 | - "p.addPoint( [0,0,0] );\n" + | |
| 1462 | - "p.addPoint( [200,200,200] );\n" + | |
| 1463 | - "p.addPoint( [0,0,-200] );\n" + | |
| 1464 | - "p.addPoint( [0,-200,-900] );\n" + | |
| 1465 | - "p.addPoint( [0,0,0] );\n" + | |
| 1466 | - "\n" + | |
| 1467 | - "p.generateControlPoints(0.43);\n" + | |
| 1468 | - "\n" + | |
| 1469 | - "animation.animatePath( actor, p, [1,0,0], \"linear\", 0, 6);\n" + | |
| 1470 | - "\n" + | |
| 1471 | - "//animation.setEndAction(dali.EndAction.Discard);\n" + | |
| 1472 | - "\n" + | |
| 1473 | - "animation.play();\n" + | |
| 1474 | - "\n" + | |
| 1475 | - "\n" + | |
| 1476 | - "" | |
| 1477 | - }, | |
| 1478 | - { | |
| 1479 | - name: "05. Event driven Animation", | |
| 1480 | - source: "var halfQuadSize = 0.5;\n" + | |
| 1481 | - "\n" + | |
| 1482 | - "// use helper function to create property buffer\n" + | |
| 1483 | - "var verts = dali.createPropertyBuffer( {format: [ [\"aPosition\", dali.PropertyType.VECTOR3],\n" + | |
| 1484 | - " [\"aTexCoord\", dali.PropertyType.VECTOR2] ],\n" + | |
| 1485 | - " data: { \"aPosition\": [ [-halfQuadSize, -halfQuadSize, 0.0],\n" + | |
| 1486 | - " [+halfQuadSize, -halfQuadSize, 0.0],\n" + | |
| 1487 | - " [-halfQuadSize, +halfQuadSize, 0.0],\n" + | |
| 1488 | - " [+halfQuadSize, +halfQuadSize, 0.0]\n" + | |
| 1489 | - " ],\n" + | |
| 1490 | - " \"aTexCoord\": [ [0, 0],\n" + | |
| 1491 | - " [1, 0],\n" + | |
| 1492 | - " [0, 1],\n" + | |
| 1493 | - " [1, 1]\n" + | |
| 1494 | - " ]\n" + | |
| 1495 | - " }\n" + | |
| 1496 | - " });\n" + | |
| 1497 | - "\n" + | |
| 1498 | - "var indices = dali.createPropertyBuffer( { format: [ [\"indices\", dali.PropertyType.INTEGER]],\n" + | |
| 1499 | - " data: { \"indices\": [0, 3, 1, 0, 2, 3] } } ) ;\n" + | |
| 1500 | - "\n" + | |
| 1501 | - "var geometry = new dali.Geometry();\n" + | |
| 1502 | - "\n" + | |
| 1503 | - "geometry.addVertexBuffer(verts);\n" + | |
| 1504 | - "geometry.setIndexBuffer(indices);\n" + | |
| 1505 | - "\n" + | |
| 1506 | - "var vertex = \"\" +\n" + | |
| 1507 | - " \"// atributes\\n\" + \n" + | |
| 1508 | - " \"attribute mediump vec3 aPosition;\\n\" + \n" + | |
| 1509 | - " \"attribute mediump vec2 aTexCoord;\\n\" + \n" + | |
| 1510 | - " \"// inbuilt\\n\" + \n" + | |
| 1511 | - " \"uniform mediump mat4 uMvpMatrix;\\n\" + \n" + | |
| 1512 | - " \"uniform mediump vec3 uSize;\\n\" + \n" + | |
| 1513 | - " \"uniform lowp vec4 uColor;\\n\" + \n" + | |
| 1514 | - " \"// varying\\n\" + \n" + | |
| 1515 | - " \"varying mediump vec2 vTexCoord;\\n\" + \n" + | |
| 1516 | - " \"\\n\" + \n" + | |
| 1517 | - " \"void main()\\n\" + \n" + | |
| 1518 | - " \"{\\n\" + \n" + | |
| 1519 | - " \" mediump vec4 vertexPosition = vec4(aPosition, 1.0);\\n\" + \n" + | |
| 1520 | - " \" vertexPosition.xyz *= uSize;\\n\" + \n" + | |
| 1521 | - " \" gl_Position = uMvpMatrix * vertexPosition;\\n\" + \n" + | |
| 1522 | - " \" vTexCoord = aTexCoord;\\n\" + \n" + | |
| 1523 | - " \"}\";\n" + | |
| 1524 | - "\n" + | |
| 1525 | - "var fragment = \"\" +\n" + | |
| 1526 | - " \"uniform lowp vec4 uColor;\\n\" + \n" + | |
| 1527 | - " \"uniform sampler2D sTexture;\\n\" + \n" + | |
| 1528 | - " \"varying mediump vec2 vTexCoord;\\n\" + \n" + | |
| 1529 | - " \"\\n\" + \n" + | |
| 1530 | - " \"void main()\\n\" + \n" + | |
| 1531 | - " \"{\\n\" + \n" + | |
| 1532 | - " \" gl_FragColor = texture2D(sTexture, vTexCoord) * uColor;\\n\" + \n" + | |
| 1533 | - " \"}\";\n" + | |
| 1534 | - "\n" + | |
| 1535 | - "var shader = new dali.Shader(vertex, fragment, dali.ShaderHints.HINT_NONE);\n" + | |
| 1536 | - "\n" + | |
| 1537 | - "var material = new dali.Material(shader);\n" + | |
| 1538 | - "\n" + | |
| 1539 | - "var image = imageFromUiBuffer(\"ducks\");\n" + | |
| 1540 | - "var sampler = new dali.Sampler();\n" + | |
| 1541 | - "material.addTexture(image, \"sTexture\", sampler);\n" + | |
| 1542 | - "\n" + | |
| 1543 | - "var renderer = new dali.Renderer(geometry, material);\n" + | |
| 1544 | - "\n" + | |
| 1545 | - "var actor = new dali.Actor();\n" + | |
| 1546 | - "\n" + | |
| 1547 | - "actor.addRenderer(renderer);\n" + | |
| 1548 | - "\n" + | |
| 1549 | - "dali.stage.add(actor);\n" + | |
| 1550 | - "\n" + | |
| 1551 | - "actor.parentOrigin = [0.5, 0.5, 0.0];\n" + | |
| 1552 | - "actor.size = [100,100,1];\n" + | |
| 1553 | - "\n" + | |
| 1554 | - "var actor2 = new dali.Actor();\n" + | |
| 1555 | - "\n" + | |
| 1556 | - "// @todo?? why can I no reuse the same renderer?\n" + | |
| 1557 | - "//actor2.addRenderer(renderer);\n" + | |
| 1558 | - "var renderer2 = new dali.Renderer(geometry, material);\n" + | |
| 1559 | - "actor2.addRenderer(renderer2);\n" + | |
| 1560 | - "\n" + | |
| 1561 | - "dali.stage.add(actor2);\n" + | |
| 1562 | - "\n" + | |
| 1563 | - "actor2.position = [-200,0,0];\n" + | |
| 1564 | - "actor2.parentOrigin = [0.5, 0.5, 0.0];\n" + | |
| 1565 | - "actor2.size = [100,100,1];\n" + | |
| 1566 | - "\n" + | |
| 1567 | - "var animation = new dali.Animation(9);\n" + | |
| 1568 | - "\n" + | |
| 1569 | - "animation.animateTo(actor, \"orientation\", [0,90,0], \"linear\", 0, 3);\n" + | |
| 1570 | - "animation.animateTo(actor, \"orientation\", [0,0,0], \"linear\", 6, 3);\n" + | |
| 1571 | - "\n" + | |
| 1572 | - "var p = new dali.Path();\n" + | |
| 1573 | - "\n" + | |
| 1574 | - "p.addPoint( [0,0,0] );\n" + | |
| 1575 | - "p.addPoint( [200,200,200] );\n" + | |
| 1576 | - "p.addPoint( [0,0,-200] );\n" + | |
| 1577 | - "p.addPoint( [0,-200,-900] );\n" + | |
| 1578 | - "p.addPoint( [0,0,0] );\n" + | |
| 1579 | - "\n" + | |
| 1580 | - "p.generateControlPoints(0.43);\n" + | |
| 1581 | - "\n" + | |
| 1582 | - "animation.animatePath( actor, p, [1,0,0], \"linear\", 0, 6);\n" + | |
| 1583 | - "\n" + | |
| 1584 | - "function onTouched(actor, e) {\n" + | |
| 1585 | - " for(var i = 0; i < e.points.length; i++) {\n" + | |
| 1586 | - " if(e.points[i].state === \"DOWN\") {\n" + | |
| 1587 | - " console.log(e);\n" + | |
| 1588 | - " animation.play();\n" + | |
| 1589 | - " return;\n" + | |
| 1590 | - " }\n" + | |
| 1591 | - " }\n" + | |
| 1592 | - "}\n" + | |
| 1593 | - "\n" + | |
| 1594 | - "actor2.connect(\"touch\", onTouched);\n" + | |
| 1595 | - "\n" + | |
| 1596 | - "\n" + | |
| 1597 | - "" | |
| 1598 | - }, | |
| 1599 | - { | |
| 1600 | - name: "06. Offscreen", | |
| 1601 | - source: "\n" + | |
| 1602 | - "// todo" | |
| 1603 | - }, | |
| 1604 | - { | |
| 1605 | - name: "07. DALi toy pseudo dsl", | |
| 1606 | - source: "\n" + | |
| 1607 | - "//\n" + | |
| 1608 | - "// @todo\n" + | |
| 1609 | - "//\n" + | |
| 1610 | - "addTo(\"stage\",\n" + | |
| 1611 | - " image({\n" + | |
| 1612 | - " name:\"img\",\n" + | |
| 1613 | - " image:\"ducks\",\n" + | |
| 1614 | - " size:[100,100,1]\n" + | |
| 1615 | - " }),\n" + | |
| 1616 | - " image({\n" + | |
| 1617 | - " name:\"img2\",\n" + | |
| 1618 | - " tag:\"listitem\",\n" + | |
| 1619 | - " image:\"field\",\n" + | |
| 1620 | - " position:[100,0,0],\n" + | |
| 1621 | - " size:[100,100,1]\n" + | |
| 1622 | - " }),\n" + | |
| 1623 | - " image({\n" + | |
| 1624 | - " name:\"img3\",\n" + | |
| 1625 | - " tag:\"listitem\",\n" + | |
| 1626 | - " image:\"funnyface\",\n" + | |
| 1627 | - " position:[100,0,0],\n" + | |
| 1628 | - " size:[100,100,1]\n" + | |
| 1629 | - " }),\n" + | |
| 1630 | - " image({\n" + | |
| 1631 | - " name:\"img4\",\n" + | |
| 1632 | - " tag:\"listitem\",\n" + | |
| 1633 | - " image:\"girl1\",\n" + | |
| 1634 | - " position:[100,0,0],\n" + | |
| 1635 | - " size:[100,100,1]\n" + | |
| 1636 | - " })\n" + | |
| 1637 | - ");\n" + | |
| 1638 | - "\n" + | |
| 1639 | - "\n" + | |
| 1640 | - "when(\"img\", \"touchedDown\",\n" + | |
| 1641 | - " set(\"sensitive\", true),\n" + | |
| 1642 | - " set(\"size\", to([200,200,200])),\n" + | |
| 1643 | - " set(\"img2\", \"size\", to([200,200,200], 0,3, \"ease_in\")),\n" + | |
| 1644 | - " set(excludeFrom(tagged(\"scrollitem\"), \"myimage\"), path(0,3, \"ease_in\", \"path0\")),\n" + | |
| 1645 | - " endAction(\"Discard\")\n" + | |
| 1646 | - " then(set(\"img4\", \"hide\"),\n" + | |
| 1647 | - " play(\"anAnim\")) );\n" + | |
| 1648 | - " \n" + | |
| 1649 | - "\n" + | |
| 1650 | - "\n" | |
| 1651 | - } | |
| 1652 | -]; | |
| 1653 | - | |
| 1654 | -function log(errorLog) { | |
| 1655 | - console.log(errorLog); | |
| 1656 | -} | |
| 1657 | - | |
| 1658 | -function consoleAssert( test, message ) | |
| 1659 | -{ | |
| 1660 | - // using this rather than inbuild assert | |
| 1661 | - // it lets dali carry on for some reason | |
| 1662 | - if(!test) | |
| 1663 | - { | |
| 1664 | - throw message; | |
| 1665 | - } | |
| 1666 | -} | |
| 1667 | - | |
| 1668 | -function consoleLogErrorEvent(event) { | |
| 1669 | - "use strict"; | |
| 1670 | - console.log("Error"); | |
| 1671 | - console.dir(event); | |
| 1672 | - if(event.target) { | |
| 1673 | - if(event.target.result) { | |
| 1674 | - event.target.result.close(); | |
| 1675 | - } | |
| 1676 | - } | |
| 1677 | -} | |
| 1678 | - | |
| 1679 | -function consoleLogSuccess(message) { | |
| 1680 | - "use strict"; | |
| 1681 | - return function() { | |
| 1682 | - console.log("Success:" + message); | |
| 1683 | - }; | |
| 1684 | -} | |
| 1685 | - | |
| 1686 | - | |
| 1687 | -/** | |
| 1688 | - * Gets embedded base64 images embedded in the HTML file | |
| 1689 | - */ | |
| 1690 | -function getStockImageData(index) { | |
| 1691 | - "use strict"; | |
| 1692 | - var name = "testImage" + index; | |
| 1693 | - // need to draw it off screen first? @todo | |
| 1694 | - var c = document.createElement("canvas"); | |
| 1695 | - var img = document.getElementById(name); | |
| 1696 | - c.width = img.naturalWidth; | |
| 1697 | - c.height = img.naturalHeight; | |
| 1698 | - var context = c.getContext("2d"); | |
| 1699 | - context.drawImage(img, 0, 0 ); | |
| 1700 | - var imageData = context.getImageData(0, 0, img.naturalWidth, img.naturalHeight); // <-ImageData | |
| 1701 | - return imageData; | |
| 1702 | -} | |
| 1703 | - | |
| 1704 | -function formatValue(value) | |
| 1705 | -{ | |
| 1706 | - if(typeof(value) === "number") { | |
| 1707 | - if(value === 3.4028234663852886e+38) | |
| 1708 | - { | |
| 1709 | - return "MAX_FLOAT"; | |
| 1710 | - } else if(value === Number.MAX_VALUE) { | |
| 1711 | - return "MAX_DBL"; | |
| 1712 | - } else if(value === 2147483647) { | |
| 1713 | - return "MAX_INT"; | |
| 1714 | - } else if(value === 9223372036854775807) { | |
| 1715 | - return "MAX_INT64"; | |
| 1716 | - } else { | |
| 1717 | - return value.toFixed(3); | |
| 1718 | - } | |
| 1719 | - } else { | |
| 1720 | - return value; | |
| 1721 | - } | |
| 1722 | -} | |
| 1723 | - | |
| 1724 | -/** | |
| 1725 | - * Add bootstrap column for single value (not array) | |
| 1726 | - */ | |
| 1727 | -function add1ColElement(elem, value) | |
| 1728 | -{ | |
| 1729 | - var e = document.createElement("div"); | |
| 1730 | - e.className = "col-md-3"; | |
| 1731 | - e.innerHTML = formatValue(value); | |
| 1732 | - elem.appendChild(e); | |
| 1733 | - | |
| 1734 | - e = document.createElement("div"); | |
| 1735 | - e.className = "col-md-3"; | |
| 1736 | - e.innerHTML = ""; | |
| 1737 | - elem.appendChild(e); | |
| 1738 | - | |
| 1739 | - e = document.createElement("div"); | |
| 1740 | - e.className = "col-md-3"; | |
| 1741 | - e.innerHTML = ""; | |
| 1742 | - elem.appendChild(e); | |
| 1743 | - | |
| 1744 | - e = document.createElement("div"); | |
| 1745 | - e.className = "col-md-3"; | |
| 1746 | - e.innerHTML = ""; | |
| 1747 | - elem.appendChild(e); | |
| 1748 | - | |
| 1749 | - return e; | |
| 1750 | -} | |
| 1751 | - | |
| 1752 | -/* | |
| 1753 | - * Add bootstrap column for array of 2 value | |
| 1754 | - */ | |
| 1755 | -function add2ColElement(elem, value) | |
| 1756 | -{ | |
| 1757 | - var e = document.createElement("div"); | |
| 1758 | - e.className = "col-md-3"; | |
| 1759 | - e.innerHTML = formatValue(value[0]); | |
| 1760 | - elem.appendChild(e); | |
| 1761 | - | |
| 1762 | - e = document.createElement("div"); | |
| 1763 | - e.className = "col-md-3"; | |
| 1764 | - e.innerHTML = formatValue(value[1]); | |
| 1765 | - elem.appendChild(e); | |
| 1766 | - | |
| 1767 | - e = document.createElement("div"); | |
| 1768 | - e.className = "col-md-3"; | |
| 1769 | - e.innerHTML = ""; | |
| 1770 | - elem.appendChild(e); | |
| 1771 | - | |
| 1772 | - e = document.createElement("div"); | |
| 1773 | - e.className = "col-md-3"; | |
| 1774 | - e.innerHTML = ""; | |
| 1775 | - elem.appendChild(e); | |
| 1776 | - | |
| 1777 | - return e; | |
| 1778 | -} | |
| 1779 | - | |
| 1780 | -/* | |
| 1781 | - * Add bootstrap table cell for array of 3 value | |
| 1782 | - */ | |
| 1783 | -function add3ColElement(elem, value) | |
| 1784 | -{ | |
| 1785 | - var e = document.createElement("div"); | |
| 1786 | - e.className = "col-md-3"; | |
| 1787 | - e.innerHTML = formatValue(value[0]); | |
| 1788 | - elem.appendChild(e); | |
| 1789 | - | |
| 1790 | - e = document.createElement("div"); | |
| 1791 | - e.className = "col-md-3"; | |
| 1792 | - e.innerHTML = formatValue(value[1]); | |
| 1793 | - elem.appendChild(e); | |
| 1794 | - | |
| 1795 | - e = document.createElement("div"); | |
| 1796 | - e.className = "col-md-3"; | |
| 1797 | - e.innerHTML = formatValue(value[2]); | |
| 1798 | - elem.appendChild(e); | |
| 1799 | - | |
| 1800 | - e = document.createElement("div"); | |
| 1801 | - e.className = "col-md-3"; | |
| 1802 | - e.innerHTML = ""; | |
| 1803 | - elem.appendChild(e); | |
| 1804 | - return e; | |
| 1805 | -} | |
| 1806 | - | |
| 1807 | -/* | |
| 1808 | - * Add bootstrap table cell for array of 4 value | |
| 1809 | - */ | |
| 1810 | -function add4ColElement(elem, value) | |
| 1811 | -{ | |
| 1812 | - var e = document.createElement("div"); | |
| 1813 | - e.className = "col-md-3"; | |
| 1814 | - e.innerHTML = formatValue(value[0]); | |
| 1815 | - elem.appendChild(e); | |
| 1816 | - | |
| 1817 | - e = document.createElement("div"); | |
| 1818 | - e.className = "col-md-3"; | |
| 1819 | - e.innerHTML = formatValue(value[1]); | |
| 1820 | - elem.appendChild(e); | |
| 1821 | - | |
| 1822 | - e = document.createElement("div"); | |
| 1823 | - e.className = "col-md-3"; | |
| 1824 | - e.innerHTML = formatValue(value[2]); | |
| 1825 | - elem.appendChild(e); | |
| 1826 | - | |
| 1827 | - e = document.createElement("div"); | |
| 1828 | - e.className = "col-md-3"; | |
| 1829 | - e.innerHTML = formatValue(value[3]); | |
| 1830 | - elem.appendChild(e); | |
| 1831 | - return e; | |
| 1832 | -} | |
| 1833 | - | |
| 1834 | -/* | |
| 1835 | - * Add a bootstrap table cell for property 'name' for an actor | |
| 1836 | - */ | |
| 1837 | -function createElementForActorProperty(actor, name) { | |
| 1838 | - "use strict"; | |
| 1839 | - var elem = document.createElement("div"); | |
| 1840 | - | |
| 1841 | - var value = actor[name]; | |
| 1842 | - var type = typeof value; | |
| 1843 | - | |
| 1844 | - if(name === "maximumSize") { | |
| 1845 | - value = value; | |
| 1846 | - } | |
| 1847 | - | |
| 1848 | - if(type === "string" || type === "number" || type === "boolean") { | |
| 1849 | - elem.className = "row"; | |
| 1850 | - add1ColElement(elem, value); | |
| 1851 | - } else if(value === undefined) { | |
| 1852 | - elem.className = "row"; | |
| 1853 | - add1ColElement(elem, "???undefined???"); | |
| 1854 | - } else { | |
| 1855 | - var r; | |
| 1856 | - var length = value.length; | |
| 1857 | - if(length === 2) { | |
| 1858 | - elem.className = "row"; | |
| 1859 | - add2ColElement(elem, value); | |
| 1860 | - } else if(length === 3) { | |
| 1861 | - elem.className = "row"; | |
| 1862 | - add3ColElement(elem, value); | |
| 1863 | - } else if(length === 4) { | |
| 1864 | - elem.className = "row"; | |
| 1865 | - add4ColElement(elem, value); | |
| 1866 | - } else if(length === 9) { | |
| 1867 | - r = document.createElement("div"); | |
| 1868 | - r.className = "row"; | |
| 1869 | - add3ColElement(r, value.slice(0, 3)); | |
| 1870 | - elem.appendChild(r); | |
| 1871 | - | |
| 1872 | - r = document.createElement("div"); | |
| 1873 | - r.className = "row"; | |
| 1874 | - add3ColElement(r, value.slice(3, 6)); | |
| 1875 | - elem.appendChild(r); | |
| 1876 | - | |
| 1877 | - r = document.createElement("div"); | |
| 1878 | - r.className = "row"; | |
| 1879 | - add3ColElement(r, value.slice(6, 9)); | |
| 1880 | - elem.appendChild(r); | |
| 1881 | - } else if(length === 16) { | |
| 1882 | - r = document.createElement("div"); | |
| 1883 | - r.className = "row"; | |
| 1884 | - add4ColElement(r, value.slice(0, 4)); | |
| 1885 | - elem.appendChild(r); | |
| 1886 | - | |
| 1887 | - r = document.createElement("div"); | |
| 1888 | - r.className = "row"; | |
| 1889 | - add4ColElement(r, value.slice(4, 8)); | |
| 1890 | - elem.appendChild(r); | |
| 1891 | - | |
| 1892 | - r = document.createElement("div"); | |
| 1893 | - r.className = "row"; | |
| 1894 | - add4ColElement(r, value.slice(8, 12)); | |
| 1895 | - elem.appendChild(r); | |
| 1896 | - | |
| 1897 | - r = document.createElement("div"); | |
| 1898 | - r.className = "row"; | |
| 1899 | - add4ColElement(r, value.slice(12, 16)); | |
| 1900 | - elem.appendChild(r); | |
| 1901 | - } | |
| 1902 | - } | |
| 1903 | - | |
| 1904 | - return elem; | |
| 1905 | -} | |
| 1906 | - | |
| 1907 | -/** | |
| 1908 | - * Adds a bootstrap table to show the actor properties | |
| 1909 | - */ | |
| 1910 | -function onActorSelected(actor) { | |
| 1911 | - "use strict"; | |
| 1912 | - var i; | |
| 1913 | - var name; | |
| 1914 | - var gridBlock; | |
| 1915 | - var nameBlock; | |
| 1916 | - var valueBlock; | |
| 1917 | - var actorId; | |
| 1918 | - | |
| 1919 | - // | |
| 1920 | - // recreate property tab | |
| 1921 | - // | |
| 1922 | - var elem = document.getElementById("selected"); | |
| 1923 | - | |
| 1924 | - removeAllChildren(elem); | |
| 1925 | - | |
| 1926 | - // | |
| 1927 | - // setup property view | |
| 1928 | - // | |
| 1929 | - if (actor) { | |
| 1930 | - actorId = actor.getId(); | |
| 1931 | - | |
| 1932 | - var p = document.createElement("div"); | |
| 1933 | - p.innerHTML = "<h3><b>" + actor.name + "</b> [<b>" + actorId + "</b>] (<b>" + actor.position + "</b>)</h3>"; | |
| 1934 | - elem.appendChild(p); | |
| 1935 | - | |
| 1936 | - var parent = actor.getParent(); | |
| 1937 | - if(parent) { | |
| 1938 | - p = document.createElement("div"); | |
| 1939 | - p.innerHTML = | |
| 1940 | - "<p>" + | |
| 1941 | - "(Parent: <b>" + parent.name + "</b> [<b>" + parent.getId() + "</b>] (<b>" + parent.position + "</b>)" + | |
| 1942 | - " Anchored: <b>" + actor.anchorPoint + "</b>" + | |
| 1943 | - " ParentOrigin: <b>" + actor.parentOrigin + "</b> )" + | |
| 1944 | - "</p>"; | |
| 1945 | - elem.appendChild(p); | |
| 1946 | - } | |
| 1947 | - | |
| 1948 | - if( actorId in actorIdToShaderSet && | |
| 1949 | - "shaderEffect" in actorIdToShaderSet[actorId]) { // if has compiled | |
| 1950 | - var shaderOptions = actorIdToShaderSet[actorId]; | |
| 1951 | - var uniforms = dali.sourceUniformMetaData(shaderOptions.vertex); | |
| 1952 | - uniforms = uniforms.concat(dali.sourceUniformMetaData(shaderOptions.fragment)); | |
| 1953 | - | |
| 1954 | - var shader = getShader(actor); | |
| 1955 | - | |
| 1956 | - if(uniforms.length) { | |
| 1957 | - gridBlock = document.createElement("div"); | |
| 1958 | - gridBlock.className = "row"; | |
| 1959 | - | |
| 1960 | - nameBlock = document.createElement("div"); | |
| 1961 | - nameBlock.className = "col-md-5"; | |
| 1962 | - nameBlock.innerHTML = "<u>Shader Uniforms:</u>"; | |
| 1963 | - gridBlock.appendChild(nameBlock); | |
| 1964 | - | |
| 1965 | - valueBlock = document.createElement("div"); | |
| 1966 | - valueBlock.className = "col-md-7"; | |
| 1967 | - valueBlock.innerHTML = ""; | |
| 1968 | - gridBlock.appendChild(valueBlock); | |
| 1969 | - | |
| 1970 | - elem.appendChild(gridBlock); | |
| 1971 | - | |
| 1972 | - for(i = 0; i < uniforms.length; i++) { | |
| 1973 | - var type = uniforms[i].type; | |
| 1974 | - name = uniforms[i].name; | |
| 1975 | - gridBlock = document.createElement("div"); | |
| 1976 | - gridBlock.className = "row"; | |
| 1977 | - | |
| 1978 | - nameBlock = document.createElement("div"); | |
| 1979 | - nameBlock.className = "col-md-5"; | |
| 1980 | - nameBlock.innerHTML = type + " " + name + "<i> (Animatable) </i>"; | |
| 1981 | - | |
| 1982 | - gridBlock.appendChild(nameBlock); | |
| 1983 | - | |
| 1984 | - valueBlock = document.createElement("div"); | |
| 1985 | - valueBlock.className = "col-md-7"; | |
| 1986 | - valueBlock.innerHTML = shader[ name ]; | |
| 1987 | - gridBlock.appendChild(valueBlock); | |
| 1988 | - | |
| 1989 | - elem.appendChild(gridBlock); | |
| 1990 | - | |
| 1991 | - } | |
| 1992 | - } | |
| 1993 | - | |
| 1994 | - } | |
| 1995 | - | |
| 1996 | - // getproperties returns std::vector<string> | |
| 1997 | - var props = actor.getProperties(); | |
| 1998 | - | |
| 1999 | - gridBlock = document.createElement("div"); | |
| 2000 | - gridBlock.className = "row"; | |
| 2001 | - | |
| 2002 | - nameBlock = document.createElement("div"); | |
| 2003 | - nameBlock.className = "col-md-5"; | |
| 2004 | - nameBlock.innerHTML = "<u>Properties:</ul>"; | |
| 2005 | - gridBlock.appendChild(nameBlock); | |
| 2006 | - | |
| 2007 | - valueBlock = document.createElement("div"); | |
| 2008 | - valueBlock.className = "col-md-7"; | |
| 2009 | - valueBlock.innerHTML = ""; | |
| 2010 | - gridBlock.appendChild(valueBlock); | |
| 2011 | - | |
| 2012 | - elem.appendChild(gridBlock); | |
| 2013 | - | |
| 2014 | - | |
| 2015 | - for (i = 0; i < props.size(); i++) { | |
| 2016 | - name = props.get(i); | |
| 2017 | - | |
| 2018 | - gridBlock = document.createElement("div"); | |
| 2019 | - gridBlock.className = "row"; | |
| 2020 | - | |
| 2021 | - var animatable = actor.isPropertyAnimatable(actor.getPropertyIndex(name)); | |
| 2022 | - | |
| 2023 | - nameBlock = document.createElement("div"); | |
| 2024 | - nameBlock.className = "col-md-5"; | |
| 2025 | - if(animatable) { | |
| 2026 | - nameBlock.innerHTML = "'" + name + "'" + "<i> (animatable)</i>"; | |
| 2027 | - } else { | |
| 2028 | - nameBlock.innerHTML = "'" + name + "'"; | |
| 2029 | - } | |
| 2030 | - gridBlock.appendChild(nameBlock); | |
| 2031 | - | |
| 2032 | - valueBlock = document.createElement("div"); | |
| 2033 | - valueBlock.className = "col-md-7"; | |
| 2034 | - | |
| 2035 | - valueBlock.appendChild( createElementForActorProperty(actor, name) ); | |
| 2036 | - | |
| 2037 | - gridBlock.appendChild(valueBlock); | |
| 2038 | - | |
| 2039 | - elem.appendChild(gridBlock); | |
| 2040 | - } | |
| 2041 | - | |
| 2042 | - props.delete(); | |
| 2043 | - | |
| 2044 | - } | |
| 2045 | - | |
| 2046 | -} | |
| 2047 | - | |
| 2048 | -/** | |
| 2049 | - * creates page element and set namesValues array | |
| 2050 | - */ | |
| 2051 | -function createElement(elementName, namesValues) { | |
| 2052 | - "use strict"; | |
| 2053 | - var e = document.createElement(elementName); | |
| 2054 | - for(var name in namesValues) { | |
| 2055 | - e[name] = namesValues[name]; | |
| 2056 | - } | |
| 2057 | - return e; | |
| 2058 | -} | |
| 2059 | - | |
| 2060 | -/** | |
| 2061 | - * create element with innerHTML | |
| 2062 | - */ | |
| 2063 | -function createElementInnerHTML(elementName, innerHTML) { | |
| 2064 | - "use strict"; | |
| 2065 | - return createElement(elementName, {"innerHTML": innerHTML}); | |
| 2066 | -} | |
| 2067 | - | |
| 2068 | -/** | |
| 2069 | - * remove all the children from the element | |
| 2070 | - */ | |
| 2071 | -function removeAllChildren(elem) { | |
| 2072 | - "use strict"; | |
| 2073 | - var count = elem.children.length; | |
| 2074 | - for (var i = 0; i < count; i++) { | |
| 2075 | - elem.removeChild(elem.children[0]); | |
| 2076 | - } | |
| 2077 | -} | |
| 2078 | - | |
| 2079 | -/** | |
| 2080 | - * | |
| 2081 | - */ | |
| 2082 | -function onChangeSetDataChanged(e) { | |
| 2083 | - e.currentTarget["data-changed"] = true; | |
| 2084 | -} | |
| 2085 | - | |
| 2086 | -/** | |
| 2087 | - * creates a document input element [ ] | |
| 2088 | - */ | |
| 2089 | -function inputElem(type, propObject, property, val, arrayIndex) { | |
| 2090 | - "use strict"; | |
| 2091 | - var e = document.createElement("input"); | |
| 2092 | - e.type = type; | |
| 2093 | - // for number then step of any means it can be a real number not just integer | |
| 2094 | - e.step = "any"; | |
| 2095 | - e.value = val; | |
| 2096 | - e.className = "form-control"; | |
| 2097 | - e["data-value"] = val; | |
| 2098 | - e["data-arrayIndex"] = arrayIndex; | |
| 2099 | - e["data-changed"] = false; | |
| 2100 | - e.addEventListener("changed", onChangeSetDataChanged); | |
| 2101 | - return e; | |
| 2102 | -} | |
| 2103 | - | |
| 2104 | -/** | |
| 2105 | - * creates an input 2 element [ , ] | |
| 2106 | - */ | |
| 2107 | -function inputElem2(type, propObject, property, val, startIndex) { | |
| 2108 | - "use strict"; | |
| 2109 | - var d = document.createElement("div"); | |
| 2110 | - var a = inputElem("number", propObject, property, val[startIndex], startIndex); | |
| 2111 | - a.className = "col-md-3"; | |
| 2112 | - d.appendChild(a); | |
| 2113 | - a = inputElem("number", propObject, property, val[startIndex + 1], startIndex + 1); | |
| 2114 | - a.className = "col-md-3"; | |
| 2115 | - d.appendChild(a); | |
| 2116 | - a.className = "col-md-3"; | |
| 2117 | - d.appendChild(a); | |
| 2118 | - a = createElement("div"); | |
| 2119 | - a.className = "col-md-3"; | |
| 2120 | - d.appendChild(a); | |
| 2121 | - return d; | |
| 2122 | -} | |
| 2123 | - | |
| 2124 | -/** | |
| 2125 | - * creates an input 3 element [ , , ] | |
| 2126 | - */ | |
| 2127 | -function inputElem3(type, propObject, property, val, startIndex) { | |
| 2128 | - "use strict"; | |
| 2129 | - var d = document.createElement("div"); | |
| 2130 | - var a = inputElem("number", propObject, property, val[startIndex], startIndex); | |
| 2131 | - a.className = "col-md-3"; | |
| 2132 | - d.appendChild(a); | |
| 2133 | - a = inputElem("number", propObject, property, val[startIndex + 1], startIndex + 1); | |
| 2134 | - a.className = "col-md-3"; | |
| 2135 | - d.appendChild(a); | |
| 2136 | - a = inputElem("number", propObject, property, val[startIndex + 2], startIndex + 2); | |
| 2137 | - a.className = "col-md-3"; | |
| 2138 | - d.appendChild(a); | |
| 2139 | - a = createElement("div"); | |
| 2140 | - a.className = "col-md-3"; | |
| 2141 | - d.appendChild(a); | |
| 2142 | - return d; | |
| 2143 | -} | |
| 2144 | - | |
| 2145 | -/** | |
| 2146 | - * creates an input 4 element [ , , , ] | |
| 2147 | - */ | |
| 2148 | -function inputElem4(type, propObject, property, val, startIndex) { | |
| 2149 | - "use strict"; | |
| 2150 | - var d = document.createElement("div"); | |
| 2151 | - var a = inputElem("number", propObject, property, val[startIndex], startIndex); | |
| 2152 | - a.className = "col-md-3"; | |
| 2153 | - d.appendChild(a); | |
| 2154 | - a = inputElem("number", propObject, property, val[startIndex + 1], startIndex + 1); | |
| 2155 | - a.className = "col-md-3"; | |
| 2156 | - d.appendChild(a); | |
| 2157 | - a = inputElem("number", propObject, property, val[startIndex + 2], startIndex + 2); | |
| 2158 | - a.className = "col-md-3"; | |
| 2159 | - d.appendChild(a); | |
| 2160 | - a = inputElem("number", propObject, property, val[startIndex + 3], startIndex + 3); | |
| 2161 | - a.className = "col-md-3"; | |
| 2162 | - d.appendChild(a); | |
| 2163 | - return d; | |
| 2164 | -} | |
| 2165 | - | |
| 2166 | -/** | |
| 2167 | - * creates a document input element for an actor/shader's property | |
| 2168 | - */ | |
| 2169 | -function createInputElement(actorShader, propertyName, value) { | |
| 2170 | -// always4 ja columns | |
| 2171 | - "use strict"; | |
| 2172 | - var type = typeof value; | |
| 2173 | - | |
| 2174 | - var e; | |
| 2175 | - if(type === "string") { | |
| 2176 | - e = inputElem("string", actorShader, propertyName, value); | |
| 2177 | - } else if(type === "number") { | |
| 2178 | - e = inputElem("number", actorShader, propertyName, value); | |
| 2179 | - } else if(type === "boolean") { | |
| 2180 | - e = inputElem("checkbox", actorShader, propertyName, value); | |
| 2181 | - } else { | |
| 2182 | - var length = value.length; | |
| 2183 | - if(length === 2) { | |
| 2184 | - e = inputElem2("number", actorShader, propertyName, value, 0); | |
| 2185 | - } else if(length === 3) { | |
| 2186 | - e = inputElem3("number", actorShader, propertyName, value, 0); | |
| 2187 | - } else if(length === 4) { | |
| 2188 | - e = inputElem4("number", actorShader, propertyName, value, 0); | |
| 2189 | - } else if(length === 9) { | |
| 2190 | - e = createElement("div"); | |
| 2191 | - e.appendChild( inputElem3("number", actorShader, propertyName, value, 0) ); | |
| 2192 | - e.appendChild( inputElem3("number", actorShader, propertyName, value, 3) ); | |
| 2193 | - e.appendChild( inputElem3("number", actorShader, propertyName, value, 6) ); | |
| 2194 | - } else if(length === 16) { | |
| 2195 | - e = createElement("div"); | |
| 2196 | - e.appendChild( inputElem4("number", actorShader, propertyName, value, 0) ); | |
| 2197 | - e.appendChild( inputElem4("number", actorShader, propertyName, value, 4) ); | |
| 2198 | - e.appendChild( inputElem4("number", actorShader, propertyName, value, 8) ); | |
| 2199 | - e.appendChild( inputElem4("number", actorShader, propertyName, value, 12) ); | |
| 2200 | - } else { | |
| 2201 | - throw "should not happen"; | |
| 2202 | - } | |
| 2203 | - } | |
| 2204 | - | |
| 2205 | - return e; | |
| 2206 | -} | |
| 2207 | - | |
| 2208 | -/** | |
| 2209 | - * Selects an actor by id | |
| 2210 | - */ | |
| 2211 | -function selectActor(id) { // from html tree | |
| 2212 | - "use strict"; | |
| 2213 | - if(id === null) { | |
| 2214 | - eventHandler.selectActor(null); | |
| 2215 | - } else { | |
| 2216 | - var root = dali.stage.getRootLayer(); | |
| 2217 | - var actor = root.findChildById(id); | |
| 2218 | - if (actor) { | |
| 2219 | - eventHandler.selectActor(actor); | |
| 2220 | - } | |
| 2221 | - root.delete(); // wrapper | |
| 2222 | - } | |
| 2223 | -} | |
| 2224 | - | |
| 2225 | -/** | |
| 2226 | - * Rebuild the document actor property display | |
| 2227 | - */ | |
| 2228 | -function rebuildTree() { | |
| 2229 | - "use strict"; | |
| 2230 | - // remove childred | |
| 2231 | - var e = document.getElementById("tree"); | |
| 2232 | - var count = e.children.length; | |
| 2233 | - for (var i = 0; i < count; i++) { | |
| 2234 | - e.removeChild(e.children[0]); | |
| 2235 | - } | |
| 2236 | - | |
| 2237 | - // <ul class="nav nav-list"> | |
| 2238 | - // <li><label class="tree-toggler nav-header">Header 1</label> | |
| 2239 | - | |
| 2240 | - var root = dali.stage.getRootLayer() ; // dali.stage.rootRotationActor; | |
| 2241 | - | |
| 2242 | - var recurse = function(parentElement, actor) { | |
| 2243 | - var children = actor.getChildren(); | |
| 2244 | - if (children) { | |
| 2245 | - var ul = null; | |
| 2246 | - | |
| 2247 | - for (var i = 0; i < children.length; ++i) { | |
| 2248 | - var child = children[i]; | |
| 2249 | - | |
| 2250 | - if (child.name[0] !== "*") { | |
| 2251 | - | |
| 2252 | - var li = document.createElement("li"); | |
| 2253 | - | |
| 2254 | - var a = document.createElement("a"); | |
| 2255 | - a.href = "javascript:selectActor(" + child.getId() + ");"; | |
| 2256 | - a.text = "(" + child.getId() + ") '" + child.name + "'"; | |
| 2257 | - li.appendChild(a); | |
| 2258 | - | |
| 2259 | - if (ul === null) { | |
| 2260 | - ul = document.createElement("ul"); | |
| 2261 | - ul.className = "nav-tree"; | |
| 2262 | - } | |
| 2263 | - | |
| 2264 | - ul.appendChild(li); | |
| 2265 | - | |
| 2266 | - recurse(li, child); | |
| 2267 | - | |
| 2268 | - // finish with the child wrapper | |
| 2269 | - child.delete(); | |
| 2270 | - } | |
| 2271 | - } | |
| 2272 | - | |
| 2273 | - if (ul) { | |
| 2274 | - parentElement.appendChild(ul); | |
| 2275 | - } | |
| 2276 | - } | |
| 2277 | - }; | |
| 2278 | - | |
| 2279 | - recurse(e, root); | |
| 2280 | - | |
| 2281 | - root.delete(); // wrapper | |
| 2282 | -} | |
| 2283 | - | |
| 2284 | - | |
| 2285 | -/** | |
| 2286 | - * Eventhandler class; Touch handling abstraction. | |
| 2287 | - * | |
| 2288 | - * handling functions can be registered to get touch events | |
| 2289 | - */ | |
| 2290 | -function EventHandler() { | |
| 2291 | - "use strict"; | |
| 2292 | - // public | |
| 2293 | - this.mouseX = 0; | |
| 2294 | - this.mouseY = 0; | |
| 2295 | - this.mouse_buttons = 0; | |
| 2296 | - this.mouseDownPosition = [0, 0, 0]; | |
| 2297 | - this.dragDx = 0; | |
| 2298 | - this.dragDy = 0; | |
| 2299 | - this.touchedActor = null; // set if actor is touched (left click) | |
| 2300 | - //private | |
| 2301 | - // this.selectedActor = null; | |
| 2302 | - this.mouseIsDown = 0; | |
| 2303 | - this.metaKey = 0; | |
| 2304 | - this.altKey = 0; | |
| 2305 | - this.ctrlKey = 0; | |
| 2306 | - this.shiftKey = 0; | |
| 2307 | - // handlers; use register("MouseDragStart", func); where for func(eventHandler) | |
| 2308 | - this.handlersMouseMove = []; // valid; touchedActor(can be null), mouseX, mouseY | |
| 2309 | - this.handlersMouseDrag = []; // valid; touchedActor(can be null), dragDx, dragDy | |
| 2310 | - this.handlersSelect = []; // valid; touchedActor(can be null), dragDx, dragDy | |
| 2311 | - this.handlersDeselect = []; // valid; touchedActor(can be null), dragDx, dragDy | |
| 2312 | -} | |
| 2313 | - | |
| 2314 | -/* | |
| 2315 | - * Register a handler, ie register("MouseMove", moveFunc) | |
| 2316 | - */ | |
| 2317 | -EventHandler.prototype.register = function(name, handler) { | |
| 2318 | - "use strict"; | |
| 2319 | - var handlers = this["handlers" + name]; | |
| 2320 | - if (!(handler in handlers)) { | |
| 2321 | - handlers.push(handler); | |
| 2322 | - } | |
| 2323 | -}; | |
| 2324 | - | |
| 2325 | -/* | |
| 2326 | - * Unregister a handler | |
| 2327 | - */ | |
| 2328 | -EventHandler.prototype.unRegister = function(name, handler) { | |
| 2329 | - "use strict"; | |
| 2330 | - var handlers = this["handlers" + name]; | |
| 2331 | - var index = handlers.index(handler); | |
| 2332 | - if (index >= 0) { | |
| 2333 | - handlers.splice(index, 1); | |
| 2334 | - } | |
| 2335 | -}; | |
| 2336 | - | |
| 2337 | -/* | |
| 2338 | - * update the mouse state | |
| 2339 | - */ | |
| 2340 | -EventHandler.prototype.updateMouseState = function(canvas, e) { | |
| 2341 | - "use strict"; | |
| 2342 | - var rect = canvas.getBoundingClientRect(); // in window | |
| 2343 | - this.mouseX = e.clientX - rect.left; // from window | |
| 2344 | - this.mouseY = e.clientY - (rect.bottom - rect.height); | |
| 2345 | - this.mouse_buttons = e.button; // 0|1|2 left|middle|rigtht | |
| 2346 | -}; | |
| 2347 | - | |
| 2348 | -/* | |
| 2349 | - * mouse down | |
| 2350 | - */ | |
| 2351 | -EventHandler.prototype.mouseDown = function(canvas, e) { | |
| 2352 | - "use strict"; | |
| 2353 | - this.mouseIsDown = 1; | |
| 2354 | - this.updateMouseState(canvas, e); | |
| 2355 | - this.mouseDownPosition = [this.mouseX, this.mouseY, 0]; | |
| 2356 | - var hitActor = dali.hitTest(this.mouseX, this.mouseY); | |
| 2357 | - var tid = -1; | |
| 2358 | - var hid = -2; | |
| 2359 | - if (this.touchedActor) { | |
| 2360 | - tid = this.touchedActor.getId(); | |
| 2361 | - } | |
| 2362 | - if (hitActor) { | |
| 2363 | - hid = hitActor.getId(); | |
| 2364 | - } | |
| 2365 | - | |
| 2366 | - if (hid !== tid) { | |
| 2367 | - if (tid > 0) { | |
| 2368 | - this.handleEvent(this.handlersDeselect); | |
| 2369 | - this.touchedActor = null; | |
| 2370 | - } | |
| 2371 | - } | |
| 2372 | - | |
| 2373 | - this.selectActor(hitActor); | |
| 2374 | - | |
| 2375 | - // dali is 0==down,1==up,2==motion | |
| 2376 | - dali.sendMouseEvent(this.mouseX, this.mouseY, 0); | |
| 2377 | - // console.log("mouseDown", this.mouseX, this.mouseY, this.mouseIsDown, 0); | |
| 2378 | -}; | |
| 2379 | - | |
| 2380 | -/* | |
| 2381 | - * set the touchedActor | |
| 2382 | - */ | |
| 2383 | -EventHandler.prototype.selectActor = function(hitActor) { | |
| 2384 | - "use strict"; | |
| 2385 | - if (hitActor) { | |
| 2386 | - this.handleEvent(this.handlersDeselect); | |
| 2387 | - | |
| 2388 | - var layer = dali.stage.getRootLayer(); | |
| 2389 | - if (hitActor.getId() === dali.stage.rootRotationActor.getId()) { | |
| 2390 | - // dont select our rotation actor | |
| 2391 | - hitActor = null; | |
| 2392 | - } else { | |
| 2393 | - // dont select the root layer | |
| 2394 | - if (hitActor.getId() === layer.getId()) { | |
| 2395 | - hitActor = null; | |
| 2396 | - } | |
| 2397 | - } | |
| 2398 | - layer.delete(); // wrapper | |
| 2399 | - | |
| 2400 | - this.touchedActor = hitActor; | |
| 2401 | - } else { | |
| 2402 | - if(this.touchedActor) { | |
| 2403 | - this.handleEvent(this.handlersDeselect); | |
| 2404 | - } | |
| 2405 | - this.touchedActor = null; | |
| 2406 | - } | |
| 2407 | - | |
| 2408 | - this.handleEvent(this.handlersSelect); | |
| 2409 | -}; | |
| 2410 | - | |
| 2411 | -/* | |
| 2412 | - * canvas mouse move handler | |
| 2413 | - */ | |
| 2414 | -EventHandler.prototype.mouseMove = function(canvas, e) { | |
| 2415 | - "use strict"; | |
| 2416 | - this.updateMouseState(canvas, e); | |
| 2417 | - | |
| 2418 | - if(this.mouseIsDown) { | |
| 2419 | - // if (this.touchedActor) { | |
| 2420 | - this.dragDx = (this.mouseX - this.mouseDownPosition[0]); | |
| 2421 | - this.dragDy = (this.mouseY - this.mouseDownPosition[1]); | |
| 2422 | - // } | |
| 2423 | - | |
| 2424 | - this.handleEvent(this.handlersMouseDrag); | |
| 2425 | - } | |
| 2426 | - | |
| 2427 | - this.handleEvent(this.handlersMouseMove); | |
| 2428 | - | |
| 2429 | - // dali is 0==down,1==up,2==motion | |
| 2430 | - dali.sendMouseEvent(this.mouseX, this.mouseY, 2); | |
| 2431 | - // console.log("mouseMove", this.mouseX, this.mouseY, this.mouseIsDown, 2); | |
| 2432 | -}; | |
| 2433 | - | |
| 2434 | -/* | |
| 2435 | - * canvas mouse up handler | |
| 2436 | - */ | |
| 2437 | -EventHandler.prototype.mouseUp = function(canvas, e) { | |
| 2438 | - "use strict"; | |
| 2439 | - this.mouseIsDown = 0; | |
| 2440 | - this.updateMouseState(canvas, e); | |
| 2441 | - this.dragDx = (this.mouseX - this.mouseDownPosition[0]); | |
| 2442 | - this.dragDy = (this.mouseY - this.mouseDownPosition[1]); | |
| 2443 | - | |
| 2444 | - // dali is 0==down,1==up,2==motion | |
| 2445 | - dali.sendMouseEvent(this.mouseX, this.mouseY, 1); | |
| 2446 | - // console.log("mouseUp", this.mouseX, this.mouseY, this.mouseIsDown, 1); | |
| 2447 | - | |
| 2448 | -}; | |
| 2449 | - | |
| 2450 | - | |
| 2451 | -/* | |
| 2452 | - * canvas mouse wheel handler | |
| 2453 | - */ | |
| 2454 | -EventHandler.prototype.mouseWheel = function(canvas, e) { | |
| 2455 | - "use strict"; | |
| 2456 | - // multiples of +120 for up, -120 for down | |
| 2457 | - var clicks = e.wheelDelta / 120; | |
| 2458 | - | |
| 2459 | - var taskList = dali.stage.getRenderTaskList(); | |
| 2460 | - var task = taskList.getTask(0); | |
| 2461 | - var cameraActor = task.getCameraActor(); | |
| 2462 | - | |
| 2463 | - var fov = cameraActor.fieldOfView; | |
| 2464 | - cameraActor.fieldOfView = fov + (clicks / 180.0 * Math.PI); | |
| 2465 | - | |
| 2466 | - taskList.delete(); | |
| 2467 | - task.delete(); | |
| 2468 | - cameraActor.delete(); | |
| 2469 | - // console.log(e.wheelDelta); | |
| 2470 | -}; | |
| 2471 | - | |
| 2472 | -/* | |
| 2473 | - * call given handlers | |
| 2474 | - */ | |
| 2475 | -EventHandler.prototype.handleEvent = function(handlers) { | |
| 2476 | - for (var i = 0, len = handlers.length; i < len; i++) { | |
| 2477 | - var handler = handlers[i]; | |
| 2478 | - handler(this); | |
| 2479 | - } | |
| 2480 | -}; | |
| 2481 | - | |
| 2482 | -/* | |
| 2483 | - * canvas key down handler | |
| 2484 | - */ | |
| 2485 | -EventHandler.prototype.keyDown = function(canvas, e) { | |
| 2486 | - this.metaKey = e.metaKey; | |
| 2487 | - this.altKey = e.altKey; | |
| 2488 | - this.ctrlKey = e.ctrlKey; | |
| 2489 | - this.shiftKey = e.shiftKey; | |
| 2490 | -}; | |
| 2491 | - | |
| 2492 | -/* | |
| 2493 | - * canvas key up handler | |
| 2494 | - */ | |
| 2495 | -EventHandler.prototype.keyUp = function(canvas, e) { | |
| 2496 | - this.metaKey = e.metaKey; | |
| 2497 | - this.altKey = e.altKey; | |
| 2498 | - this.ctrlKey = e.ctrlKey; | |
| 2499 | - this.shiftKey = e.shiftKey; | |
| 2500 | -}; | |
| 2501 | - | |
| 2502 | -// | |
| 2503 | -// Actor list helpers; applies function to all actors in the list | |
| 2504 | -// | |
| 2505 | -var ActorList = { | |
| 2506 | - doAll: function(actors, func) { | |
| 2507 | - for (var i = 0, len = actors.length; i < len; i++) { | |
| 2508 | - func(actors[i]); | |
| 2509 | - } | |
| 2510 | - }, | |
| 2511 | - show: function(actors, visible) { | |
| 2512 | - this.doAll(actors, function(actor) { | |
| 2513 | - actor.visible = visible; | |
| 2514 | - }); | |
| 2515 | - }, | |
| 2516 | - delete: function(actors, visible) { | |
| 2517 | - this.doAll(actors, function(actor) { | |
| 2518 | - actor.delete = visible; | |
| 2519 | - }); | |
| 2520 | - }, | |
| 2521 | - add: function(actors, actor) { | |
| 2522 | - this.doAll(actors, function(a) { | |
| 2523 | - actor.add(a); | |
| 2524 | - }); | |
| 2525 | - }, | |
| 2526 | - remove: function(actors, actor) { | |
| 2527 | - this.doAll(actors, function(a) { | |
| 2528 | - actor.remove(a); | |
| 2529 | - }); | |
| 2530 | - }, | |
| 2531 | - contains: function(actors, actor) { | |
| 2532 | - if (!actor) { | |
| 2533 | - return false; | |
| 2534 | - } | |
| 2535 | - for (var i = 0, len = actors.length; i < len; i++) { | |
| 2536 | - if (actors[i].getId() == actor.getId()) { | |
| 2537 | - return true; | |
| 2538 | - } | |
| 2539 | - } | |
| 2540 | - return false; | |
| 2541 | - } | |
| 2542 | -}; | |
| 2543 | - | |
| 2544 | - | |
| 2545 | -// | |
| 2546 | -// Class for depth adornments | |
| 2547 | -// | |
| 2548 | -function DepthAdornment() { | |
| 2549 | - "use strict"; | |
| 2550 | - this.attachedTo = null; | |
| 2551 | - this.actors = []; // array of 5 square attaced around and to back of actor to show depth | |
| 2552 | - | |
| 2553 | - for (var i = 0; i < 5; i++) { // | |
| 2554 | - | |
| 2555 | - var a = dali.createSolidColorActor([0.5, 0.5, 0.5, 1], | |
| 2556 | - false, [0, 0, 0, 1], | |
| 2557 | - 0); | |
| 2558 | - a.name = "**_dali_adornment"; | |
| 2559 | - this.actors.push(a); | |
| 2560 | - } | |
| 2561 | - | |
| 2562 | - ActorList.show(this.actors, false); | |
| 2563 | -} | |
| 2564 | - | |
| 2565 | -DepthAdornment.prototype.delete = function() { | |
| 2566 | - "use strict"; | |
| 2567 | - ActorList.delete(this.actors); | |
| 2568 | - this.actors = []; | |
| 2569 | -}; | |
| 2570 | - | |
| 2571 | -DepthAdornment.prototype.attach = function(actor) { | |
| 2572 | - "use strict"; | |
| 2573 | - var newActor = true; | |
| 2574 | - if (this.attachedTo) { | |
| 2575 | - newActor = (actor.getId() !== this.attachedTo.getId()); | |
| 2576 | - } | |
| 2577 | - | |
| 2578 | - if (actor && newActor) { | |
| 2579 | - this.unattach(this.attachedTo); | |
| 2580 | - | |
| 2581 | - if(!ActorList.contains(this.actors, actor)) { | |
| 2582 | - this.__positionActors(actor); | |
| 2583 | - | |
| 2584 | - ActorList.add(this.actors, actor); | |
| 2585 | - | |
| 2586 | - ActorList.show(this.actors, true); | |
| 2587 | - | |
| 2588 | - this.attachedTo = actor; | |
| 2589 | - } | |
| 2590 | - } | |
| 2591 | -}; | |
| 2592 | - | |
| 2593 | -DepthAdornment.prototype.unattach = function() { | |
| 2594 | - "use strict"; | |
| 2595 | - if (this.attachedTo) { | |
| 2596 | - ActorList.show(this.actors, false); | |
| 2597 | - ActorList.remove(this.actors, this.attachedTo); | |
| 2598 | - this.attachedTo = null; | |
| 2599 | - } | |
| 2600 | -}; | |
| 2601 | - | |
| 2602 | -DepthAdornment.prototype.reposition = function() { | |
| 2603 | - "use strict"; | |
| 2604 | - if (this.attachedTo) { | |
| 2605 | - this.__positionActors(this.attachedTo); | |
| 2606 | - } | |
| 2607 | -}; | |
| 2608 | - | |
| 2609 | -DepthAdornment.prototype.__positionActors = function(actor) { | |
| 2610 | - "use strict"; | |
| 2611 | - var s = actor.size; | |
| 2612 | - s[2] = Math.max(s[2], 20); // pretend the actor is at least 20 | |
| 2613 | - var halfw = s[0] / 2; | |
| 2614 | - var halfh = s[1] / 2; | |
| 2615 | - var halfd = s[2] / 2; | |
| 2616 | - | |
| 2617 | - this.actors[0].position = [-halfw, 0, -halfd]; | |
| 2618 | - this.actors[0].orientation = [0, -90, 0]; | |
| 2619 | - this.actors[0].size = [s[2], s[1], 1]; | |
| 2620 | - | |
| 2621 | - this.actors[1].position = [+halfw, 0, -halfd]; | |
| 2622 | - this.actors[1].orientation = [0, 90, 0]; | |
| 2623 | - this.actors[1].size = [s[2], s[1], 1]; | |
| 2624 | - | |
| 2625 | - this.actors[2].position = [0, -halfh, -halfd]; | |
| 2626 | - this.actors[2].orientation = [90, 0, 0]; | |
| 2627 | - this.actors[2].size = [s[0], s[2], 1]; | |
| 2628 | - | |
| 2629 | - this.actors[3].position = [0, halfh, -halfd]; | |
| 2630 | - this.actors[3].orientation = [-90, 0, 0]; | |
| 2631 | - this.actors[3].size = [s[0], s[2], 1]; | |
| 2632 | - // back | |
| 2633 | - // this.actors[4].position = [0, 0, -s[2]]; | |
| 2634 | - // this.actors[4].orientation = [0, 0, 0]; | |
| 2635 | - // this.actors[4].size = s; | |
| 2636 | - | |
| 2637 | -}; | |
| 2638 | - | |
| 2639 | - | |
| 2640 | - | |
| 2641 | -/** | |
| 2642 | - * Class for cursor adornments when displaying selected actor | |
| 2643 | - */ | |
| 2644 | -function Cursors() { | |
| 2645 | - "use strict"; | |
| 2646 | - var i; | |
| 2647 | - var a; | |
| 2648 | - this.attachedTo = null; | |
| 2649 | - this.resizers = []; // array of 8 small square resizers | |
| 2650 | - this.lines = []; // array of 4 bounding box lines | |
| 2651 | - this.lineColor = [0.5, 0.5, 0.5, 1]; | |
| 2652 | - this.resizerColor = [0, 0, 0, 1]; | |
| 2653 | - this.depthAdornments = new DepthAdornment(); | |
| 2654 | - | |
| 2655 | - for (i = 0; i < 4; i++) { // lines | |
| 2656 | - a = dali.createSolidColorActor(this.lineColor, false, [0, 0, 0, 1], 0); | |
| 2657 | - a.name = "**_dali_adornment"; | |
| 2658 | - this.lines.push(a); | |
| 2659 | - } | |
| 2660 | - | |
| 2661 | - for(i = 0; i < 8; i++) { // squares | |
| 2662 | - a = dali.createSolidColorActor(this.resizerColor, true, [1, 1, 1, 1], 1); | |
| 2663 | - a.name = "**_dali_adornment"; | |
| 2664 | - this.resizers.push(a); | |
| 2665 | - this.resizers[i].size = [10, 10, 1]; | |
| 2666 | - } | |
| 2667 | - | |
| 2668 | - ActorList.show(this.lines, false); | |
| 2669 | - ActorList.show(this.resizers, false); | |
| 2670 | - | |
| 2671 | -} | |
| 2672 | - | |
| 2673 | - | |
| 2674 | -Cursors.prototype.attach = function(actor) { | |
| 2675 | - "use strict"; | |
| 2676 | - if (actor) { | |
| 2677 | - | |
| 2678 | - if (this.attachedTo) { | |
| 2679 | - this.unattach(this.attachedTo); | |
| 2680 | - } | |
| 2681 | - | |
| 2682 | - this.__positionActors(actor); | |
| 2683 | - | |
| 2684 | - ActorList.add(this.lines, actor); | |
| 2685 | - ActorList.add(this.resizers, actor); | |
| 2686 | - | |
| 2687 | - ActorList.show(this.lines, true); | |
| 2688 | - ActorList.show(this.resizers, true); | |
| 2689 | - | |
| 2690 | - this.depthAdornments.attach(actor); | |
| 2691 | - | |
| 2692 | - this.attachedTo = actor; | |
| 2693 | - } | |
| 2694 | -}; | |
| 2695 | - | |
| 2696 | -Cursors.prototype.unattach = function(actor) { | |
| 2697 | - "use strict"; | |
| 2698 | - if (actor && this.attachedTo) { | |
| 2699 | - ActorList.show(this.lines, false); | |
| 2700 | - ActorList.show(this.resizers, false); | |
| 2701 | - | |
| 2702 | - ActorList.remove(this.lines, actor); | |
| 2703 | - ActorList.remove(this.resizers, actor); | |
| 2704 | - | |
| 2705 | - this.depthAdornments.unattach(actor); | |
| 2706 | - | |
| 2707 | - this.attachedTo = null; | |
| 2708 | - } | |
| 2709 | -}; | |
| 2710 | - | |
| 2711 | -Cursors.prototype.reposition = function() { | |
| 2712 | - "use strict"; | |
| 2713 | - if (this.attachedTo) { | |
| 2714 | - this.__positionActors(this.attachedTo); | |
| 2715 | - this.depthAdornments.reposition(); | |
| 2716 | - } | |
| 2717 | -}; | |
| 2718 | - | |
| 2719 | -Cursors.prototype.__positionActors = function(actor) { | |
| 2720 | - "use strict"; | |
| 2721 | - var s = actor.size; | |
| 2722 | - var p = actor.position; | |
| 2723 | - var halfw = s[0] / 2; | |
| 2724 | - var halfh = s[1] / 2; | |
| 2725 | - | |
| 2726 | - this.lines[0].position = [0 - halfw, 0, 0]; | |
| 2727 | - this.lines[0].size = [1, halfh * 2, 1]; | |
| 2728 | - | |
| 2729 | - this.lines[1].position = [0, 0 - halfh, 0]; | |
| 2730 | - this.lines[1].size = [halfw * 2, 1, 1]; | |
| 2731 | - | |
| 2732 | - this.lines[2].position = [0 + halfw, 0, 0]; | |
| 2733 | - this.lines[2].size = [1, halfh * 2, 1]; | |
| 2734 | - | |
| 2735 | - this.lines[3].position = [0, 0 + halfh, 0]; | |
| 2736 | - this.lines[3].size = [halfw * 2, 1, 1]; | |
| 2737 | - | |
| 2738 | - // drag functions presumes order here is clockwise from top left | |
| 2739 | - var offsetZ = 5; | |
| 2740 | - this.resizers[0].position = [-halfw, +halfh, offsetZ]; | |
| 2741 | - this.resizers[1].position = [0, +halfh, offsetZ]; | |
| 2742 | - this.resizers[2].position = [+halfw, +halfh, offsetZ]; | |
| 2743 | - this.resizers[3].position = [+halfw, 0, offsetZ]; | |
| 2744 | - | |
| 2745 | - this.resizers[4].position = [+halfw, -halfh, offsetZ]; | |
| 2746 | - this.resizers[5].position = [0, -halfh, offsetZ]; | |
| 2747 | - this.resizers[6].position = [-halfw, -halfh, offsetZ]; | |
| 2748 | - this.resizers[7].position = [-halfw, 0, offsetZ]; | |
| 2749 | -}; | |
| 2750 | - | |
| 2751 | - | |
| 2752 | - | |
| 2753 | -function App(theEventHandler) { | |
| 2754 | - "use strict"; | |
| 2755 | - var self = this; | |
| 2756 | - this.rootRotation = [0, 0, 0]; // in degrees | |
| 2757 | - this.cursors = new Cursors(); | |
| 2758 | - // ActorWrapper CreateSolidColorActor(const Vector4 & color, bool border, | |
| 2759 | - // const Vector4 & borderColor, | |
| 2760 | - // const unsigned int borderSize) | |
| 2761 | - this.rootLayerIndicator = dali.createSolidColorActor( | |
| 2762 | - [0, 0, 0, 0.0], | |
| 2763 | - true, [0, 0, 0, 1], | |
| 2764 | - 1); | |
| 2765 | - this.rootLayerIndicator.name = "**_dali_adornment"; | |
| 2766 | - | |
| 2767 | - this.rootLayerIndicator.parentOrigin = [0.5, 0.5, 0.5]; | |
| 2768 | - this.rootLayerIndicator.anchorPoint = [0.5, 0.5, 0.5]; | |
| 2769 | - this.rootLayerIndicator.size = [250, 250, 1]; | |
| 2770 | - this.rootLayerIndicator.position = [0, 0, 0]; | |
| 2771 | - | |
| 2772 | - this.selectedActor = null; | |
| 2773 | - this.selectedActorSize = [0, 0, 0]; | |
| 2774 | - this.selectedActorPosition = [0, 0, 0]; | |
| 2775 | - | |
| 2776 | - this.__handleMouseDrag = function(eventHandler) { | |
| 2777 | - if (self.resizing) { | |
| 2778 | - if (self.selectedActor) { | |
| 2779 | - self.selectedActor.size = [ | |
| 2780 | - self.selectedActorSize[0] + eventHandler.dragDx, | |
| 2781 | - self.selectedActorSize[1] + eventHandler.dragDy, | |
| 2782 | - self.selectedActorSize[2] | |
| 2783 | - ]; | |
| 2784 | - self.cursors.reposition(); | |
| 2785 | - } | |
| 2786 | - } else { | |
| 2787 | - // move the touched actor | |
| 2788 | - if (self.selectedActor) { | |
| 2789 | - if (eventHandler.mouse_buttons === 0) { | |
| 2790 | - self.selectedActor.position = [ | |
| 2791 | - self.selectedActorPosition[0] + eventHandler.dragDx, | |
| 2792 | - self.selectedActorPosition[1] + eventHandler.dragDy, | |
| 2793 | - self.selectedActorPosition[2] | |
| 2794 | - ]; | |
| 2795 | - } else if (eventHandler.mouse_buttons === 2) { | |
| 2796 | - self.selectedActor.position = [ | |
| 2797 | - self.selectedActorPosition[0], | |
| 2798 | - self.selectedActorPosition[1], -(self.selectedActorPosition[2] + eventHandler.dragDy) | |
| 2799 | - ]; | |
| 2800 | - } | |
| 2801 | - } | |
| 2802 | - } | |
| 2803 | - | |
| 2804 | - // rotate on middle button | |
| 2805 | - if (eventHandler.mouse_buttons === 1) { | |
| 2806 | - self.rootRotation = [eventHandler.mouseDownPosition[1] - eventHandler.mouseY, -(eventHandler.mouseDownPosition[0] - eventHandler.mouseX), | |
| 2807 | - self.rootRotation[2] | |
| 2808 | - ]; | |
| 2809 | - dali.stage.rootRotationActor.orientation = self.rootRotation; | |
| 2810 | - } | |
| 2811 | - | |
| 2812 | - }; | |
| 2813 | - | |
| 2814 | - this.addActor = function(actor) { | |
| 2815 | - if (eventHandler.touchedActor) { | |
| 2816 | - eventHandler.touchedActor.add(actor); | |
| 2817 | - actor.position = [20,20,0]; // offset so new actor isnt right behind touched | |
| 2818 | - } else { | |
| 2819 | - dali.stage.add(actor); | |
| 2820 | - } | |
| 2821 | - | |
| 2822 | - rebuildTree(); | |
| 2823 | - | |
| 2824 | - }; | |
| 2825 | - | |
| 2826 | - this.__handleSelect = function(eventHandler) { | |
| 2827 | - if (eventHandler.mouse_buttons === 0) { // left click only selects actor | |
| 2828 | - var actor = eventHandler.touchedActor; | |
| 2829 | - self.selectedActor = actor; | |
| 2830 | - if(actor) { | |
| 2831 | - self.selectedActorPosition = actor.position; | |
| 2832 | - self.selectedActorSize = actor.size; | |
| 2833 | - } else { | |
| 2834 | - self.selectedActorPosition = [0, 0, 0]; | |
| 2835 | - self.selectedActorSize = [1, 1, 1]; | |
| 2836 | - } | |
| 2837 | - self.cursors.attach(self.selectedActor); | |
| 2838 | - dali.stage.add(self.rootLayerIndicator); | |
| 2839 | - onActorSelected(actor); | |
| 2840 | - } | |
| 2841 | - }; | |
| 2842 | - | |
| 2843 | - this.__handleDeselect = function(eventHandler) { | |
| 2844 | - self.cursors.unattach(self.selectedActor); | |
| 2845 | - dali.stage.remove(self.rootLayerIndicator); | |
| 2846 | - }; | |
| 2847 | - | |
| 2848 | - // initialize | |
| 2849 | - eventHandler.register("MouseDrag", this.__handleMouseDrag); | |
| 2850 | - eventHandler.register("Select", this.__handleSelect); | |
| 2851 | - eventHandler.register("Deselect", this.__handleDeselect); | |
| 2852 | - | |
| 2853 | - // | |
| 2854 | - // Monkey patch the stage object (to add to root object not the root layer for rotations) | |
| 2855 | - // | |
| 2856 | - dali.stage.rootRotationActor = new dali.Actor(); | |
| 2857 | - dali.stage.rootRotationActor.parentOrigin = [0.5, 0.5, 0.5]; | |
| 2858 | - dali.stage.rootRotationActor.anchorPoint = [0.5, 0.5, 0.5]; | |
| 2859 | - dali.stage.rootRotationActor.name = "app rotation actor"; | |
| 2860 | - dali.stage.rootRotationActor.size = [100,100,1]; | |
| 2861 | - dali.stage.add(dali.stage.rootRotationActor); | |
| 2862 | - | |
| 2863 | - dali.stage.add = function(actor) { | |
| 2864 | - dali.stage.rootRotationActor.add(actor); | |
| 2865 | - }; | |
| 2866 | - | |
| 2867 | - dali.stage.remove = function(actor) { | |
| 2868 | - dali.stage.rootRotationActor.remove(actor); | |
| 2869 | - }; | |
| 2870 | - | |
| 2871 | -} | |
| 2872 | - | |
| 2873 | -// | |
| 2874 | -// Global | |
| 2875 | -// | |
| 2876 | - | |
| 2877 | -var eventHandler = new EventHandler(); | |
| 2878 | -var app = new App(eventHandler); | |
| 2879 | -var canvas = document.getElementById("canvas"); | |
| 2880 | - | |
| 2881 | -function mouseDown(e) { | |
| 2882 | - "use strict"; | |
| 2883 | - eventHandler.mouseDown(canvas, e); | |
| 2884 | -} | |
| 2885 | - | |
| 2886 | -function mouseUp(e) { | |
| 2887 | - "use strict"; | |
| 2888 | - eventHandler.mouseUp(canvas, e); | |
| 2889 | -} | |
| 2890 | - | |
| 2891 | -function mouseMove(e) { | |
| 2892 | - "use strict"; | |
| 2893 | - eventHandler.mouseMove(canvas, e); | |
| 2894 | -} | |
| 2895 | - | |
| 2896 | -function mouseWheel(e) { | |
| 2897 | - "use strict"; | |
| 2898 | - eventHandler.mouseWheel(canvas, e); | |
| 2899 | -} | |
| 2900 | - | |
| 2901 | -function keyDown(e) { | |
| 2902 | - "use strict"; | |
| 2903 | - eventHandler.keyDown(canvas, e); | |
| 2904 | -} | |
| 2905 | - | |
| 2906 | -function keyUp(e) { | |
| 2907 | - "use strict"; | |
| 2908 | - eventHandler.keyUp(canvas, e); | |
| 2909 | -} | |
| 2910 | - | |
| 2911 | -canvas.onmousemove = mouseMove; | |
| 2912 | -canvas.onmousedown = mouseDown; | |
| 2913 | -canvas.onmouseup = mouseUp; | |
| 2914 | -canvas.onwheel = mouseWheel; | |
| 2915 | - | |
| 2916 | -canvas.onkeydown = keyDown; | |
| 2917 | -canvas.onkeyup = keyUp; | |
| 2918 | - | |
| 2919 | -// | |
| 2920 | -// | |
| 2921 | -// | |
| 2922 | - | |
| 2923 | -function runRandomAnimation(actor) { | |
| 2924 | - "use strict"; | |
| 2925 | - var a = new dali.Animation(0); | |
| 2926 | - a.setDuration(6); | |
| 2927 | - a.setLooping(true); | |
| 2928 | - a.animateTo(actor, "position", [300 * Math.random() - 150, 300 * Math.random() - 150, 0], | |
| 2929 | - "Linear", 0, 3); | |
| 2930 | - a.animateTo(actor, "position", [0, 0, 0], "Linear", 3, 3); | |
| 2931 | - a.animateTo(actor, "rotation", [0, 0, 1, 720 * Math.random() - 360], "Linear", 0, 3); | |
| 2932 | - a.animateTo(actor, "rotation", [0, 0, 1, 0], "Linear", 3, 3); | |
| 2933 | - | |
| 2934 | - a.play(); | |
| 2935 | - // a.delete(); // delete the animtion object but a.Play() keeps it running in Dali | |
| 2936 | - return a; | |
| 2937 | -} | |
| 2938 | - | |
| 2939 | - | |
| 2940 | -//------------------------------------------------------------------------------ | |
| 2941 | -// | |
| 2942 | -// application building helpers (pseudo DSL) | |
| 2943 | -// | |
| 2944 | -//------------------------------------------------------------------------------ | |
| 2945 | -var _whenBuilder = { // builder for when() function. mimicks dali builder | |
| 2946 | - paths: {}, | |
| 2947 | - styles: {}, | |
| 2948 | - templates: {}, | |
| 2949 | - propertyBuffers: {}, | |
| 2950 | - geometries: {}, | |
| 2951 | - imageBuffers: {}, | |
| 2952 | - materials: {}, | |
| 2953 | - samplers: {}, | |
| 2954 | - shaders: {}, | |
| 2955 | - renderers: {}, | |
| 2956 | - tags: {} | |
| 2957 | -}; | |
| 2958 | - | |
| 2959 | -function _actorId(a) { // return id from [object|string name|id] | |
| 2960 | - "use strict"; | |
| 2961 | - if( typeof a === "object" ) { | |
| 2962 | - return a.getId(); | |
| 2963 | - } else if( typeof a === "string" ) { | |
| 2964 | - var child = dali.stage.findChildByName(a); | |
| 2965 | - return child.getId(); | |
| 2966 | - } else { | |
| 2967 | - return a; | |
| 2968 | - } | |
| 2969 | -} | |
| 2970 | - | |
| 2971 | -/** | |
| 2972 | - * Builder namespace. Usage as singleton "build". | |
| 2973 | - */ | |
| 2974 | -dali.Builder = function() { | |
| 2975 | - "use strict"; | |
| 2976 | - this.data = _whenBuilder; | |
| 2977 | - this.init(); | |
| 2978 | -}; | |
| 2979 | - | |
| 2980 | -/** | |
| 2981 | - * | |
| 2982 | - */ | |
| 2983 | -dali.Builder.prototype.init = function() { | |
| 2984 | - var imageSize = 0.5; // half quad size | |
| 2985 | - this.propertyBuffer("imageVerts", | |
| 2986 | - {format: [ ["aPosition", dali.PropertyType.VECTOR3], | |
| 2987 | - ["aTexCoord", dali.PropertyType.VECTOR2] ], | |
| 2988 | - data: { "aPosition": [ [-imageSize, -imageSize, 0.0], | |
| 2989 | - [+imageSize, -imageSize, 0.0], | |
| 2990 | - [-imageSize, +imageSize, 0.0], | |
| 2991 | - [+imageSize, +imageSize, 0.0] | |
| 2992 | - ], | |
| 2993 | - "aTexCoord": [ [0, 0], | |
| 2994 | - [1, 0], | |
| 2995 | - [0, 1], | |
| 2996 | - [1, 1] | |
| 2997 | - ] | |
| 2998 | - } | |
| 2999 | - } | |
| 3000 | - ); | |
| 3001 | - | |
| 3002 | - this.propertyBuffer("imageIndices", | |
| 3003 | - { format: [ ["indices", dali.PropertyType.INTEGER]], | |
| 3004 | - data: { "indices": [0, 3, 1, 0, 2, 3] } } ); | |
| 3005 | - | |
| 3006 | - this.geometry("imageGeometry", {vertices: ["imageVerts"], | |
| 3007 | - indices: "imageIndices", | |
| 3008 | - type: "TRIANGLES", | |
| 3009 | - requiresSelfDepthTest: false} ); | |
| 3010 | - | |
| 3011 | - this.shader("imageShader", | |
| 3012 | - {vertex: "\n" + | |
| 3013 | - "attribute mediump vec3 aPosition;\n" + | |
| 3014 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 3015 | - "varying mediump vec2 vTexCoord;\n" + | |
| 3016 | - "uniform mediump vec3 uSize;\n" + | |
| 3017 | - "uniform mediump mat4 uMvpMatrix;\n" + | |
| 3018 | - "\n" + | |
| 3019 | - "void main(void)\n" + | |
| 3020 | - "{\n" + | |
| 3021 | - " mediump vec4 vertexPosition = vec4(aPosition, 1.0);\n" + | |
| 3022 | - " vertexPosition.xyz *= uSize;\n" + | |
| 3023 | - " gl_Position = uMvpMatrix * vertexPosition;\n" + | |
| 3024 | - " vTexCoord = aTexCoord;\n" + | |
| 3025 | - "}\n" + | |
| 3026 | - "\n" + | |
| 3027 | - "", | |
| 3028 | - fragment: | |
| 3029 | - "precision mediump float;\n" + | |
| 3030 | - "uniform sampler2D sTexture;\n" + | |
| 3031 | - "uniform mediump vec4 uColor;\n" + | |
| 3032 | - "varying mediump vec2 vTexCoord;\n" + | |
| 3033 | - "\n" + | |
| 3034 | - "void main()\n" + | |
| 3035 | - "{\n" + | |
| 3036 | - " gl_FragColor = texture2D( sTexture, vTexCoord ) * uColor;\n" + | |
| 3037 | - "}\n" + | |
| 3038 | - "\n" + | |
| 3039 | - "", | |
| 3040 | - hints: "HINTS_NONE" | |
| 3041 | - }); | |
| 3042 | - | |
| 3043 | - var builtInImages = ["girl1","funnyface","ducks","field"]; | |
| 3044 | - | |
| 3045 | - var d; | |
| 3046 | - for(var i=0; i < builtInImages.length; i++) | |
| 3047 | - { | |
| 3048 | - var imageName = builtInImages[i]; | |
| 3049 | - | |
| 3050 | - var samplerName = "sampler_" + imageName; | |
| 3051 | - this.sampler(samplerName, | |
| 3052 | - { "minification-filter":0, | |
| 3053 | - "magnification-filter":0, | |
| 3054 | - "u-wrap":0, | |
| 3055 | - "v-wrap":0, | |
| 3056 | - "affects-transparency":false}); | |
| 3057 | - | |
| 3058 | - var materialName ="material_" + imageName; | |
| 3059 | - this.material(materialName, | |
| 3060 | - {textures: | |
| 3061 | - [ | |
| 3062 | - { image: imageName, | |
| 3063 | - uniform: "sTexture", | |
| 3064 | - sampler: samplerName | |
| 3065 | - } | |
| 3066 | - ], | |
| 3067 | - shader: "imageShader"} ); | |
| 3068 | - | |
| 3069 | - this.renderer("render_" + imageName, | |
| 3070 | - {geometry: "imageGeometry", | |
| 3071 | - material: materialName}); | |
| 3072 | - | |
| 3073 | - } | |
| 3074 | - | |
| 3075 | -}; // init() | |
| 3076 | - | |
| 3077 | -/** | |
| 3078 | - * tags an actor | |
| 3079 | - */ | |
| 3080 | -dali.Builder.prototype.tag = function(actor, tag) { | |
| 3081 | - // tag an actor (multiple by seperated by space) | |
| 3082 | - "use strict"; | |
| 3083 | - var names = tag.split(); | |
| 3084 | - var id = _actorId(actor); | |
| 3085 | - for(var i = 0; i < names.length; i++) { | |
| 3086 | - var name = names[i]; | |
| 3087 | - if(!(name in _whenBuilder.tags)) { | |
| 3088 | - _whenBuilder.tags[name] = []; | |
| 3089 | - } | |
| 3090 | - var nameIndex = _whenBuilder.tags[name].indexOf(id); | |
| 3091 | - if(nameIndex < 0) { | |
| 3092 | - _whenBuilder.tags[name].push( id ); | |
| 3093 | - } | |
| 3094 | - } | |
| 3095 | -}; | |
| 3096 | - | |
| 3097 | -/** | |
| 3098 | - * unTags an actor | |
| 3099 | - */ | |
| 3100 | -dali.Builder.prototype.unTag = function(actor, tag) { | |
| 3101 | - // untag | |
| 3102 | - "use strict"; | |
| 3103 | - var names = tag.split(); | |
| 3104 | - var id = _actorId(actor); | |
| 3105 | - for(var i = 0; i < names.length; i++) { | |
| 3106 | - var name = names[i]; | |
| 3107 | - if( name in _whenBuilder.tags ) { | |
| 3108 | - var nameIndex = _whenBuilder.tags[name].indexOf(id); | |
| 3109 | - if(nameIndex >= 0) { | |
| 3110 | - _whenBuilder.tags[name].splice(nameIndex, 1); | |
| 3111 | - } | |
| 3112 | - } | |
| 3113 | - } | |
| 3114 | -}; | |
| 3115 | - | |
| 3116 | -/** | |
| 3117 | - * Gets list of actors tagged by 'tag' | |
| 3118 | - */ | |
| 3119 | -dali.Builder.prototype.tagged = function(tag) { | |
| 3120 | - // return all tagged | |
| 3121 | - "use strict"; | |
| 3122 | - return _whenBuilder.tags[tag]; | |
| 3123 | -}; | |
| 3124 | - | |
| 3125 | -/** | |
| 3126 | - * Returns actorIdArray with actorOrArray removed | |
| 3127 | - */ | |
| 3128 | -dali.Builder.prototype.excludeFrom = function(actorIdArray, actorOrArray) | |
| 3129 | -{ | |
| 3130 | - // return all except one | |
| 3131 | - "use strict"; | |
| 3132 | - var item, id; | |
| 3133 | - var excludes = {}; | |
| 3134 | - if("length" in actorOrArray) { | |
| 3135 | - for(item in actorOrArray) { | |
| 3136 | - id = _actorId(item); | |
| 3137 | - excludes[id] = 1; | |
| 3138 | - } | |
| 3139 | - } else { | |
| 3140 | - id = _actorId(actorOrArray); | |
| 3141 | - excludes[id] = 1; | |
| 3142 | - } | |
| 3143 | - | |
| 3144 | - var ret = []; | |
| 3145 | - for(item in actorIdArray) { | |
| 3146 | - if( !(item in excludes) ) { | |
| 3147 | - ret.push( item ); | |
| 3148 | - } | |
| 3149 | - } | |
| 3150 | - return ret; | |
| 3151 | -}; | |
| 3152 | - | |
| 3153 | -/** | |
| 3154 | - * | |
| 3155 | - */ | |
| 3156 | -dali.Builder.prototype.path = function (d) { | |
| 3157 | - // Stores paths in builder | |
| 3158 | - // paths({name: {points: [[1,2,3],[4,5,6]], forward:[1,0,0]}, | |
| 3159 | - // other:{points: [[1,2,3],[4,5,6]], forward:[1,0,0]}}) | |
| 3160 | - // | |
| 3161 | - "use strict"; | |
| 3162 | - for(var name in d) { | |
| 3163 | - var pathData = {point: [], forward: [1, 0, 0]}; | |
| 3164 | - pathData = dali.mergeObjects(pathData, d[name]); | |
| 3165 | - var daliPath = new dali.Path(); | |
| 3166 | - daliPath.points = pathData.points; | |
| 3167 | - dali.generateControlPoints(daliPath, pathData.curvature); // @todo remove magic number? | |
| 3168 | - _whenBuilder.paths[name] = daliPath; | |
| 3169 | - } | |
| 3170 | -}; | |
| 3171 | - | |
| 3172 | -/** | |
| 3173 | - * Set style definition | |
| 3174 | - */ | |
| 3175 | -dali.Builder.prototype.style = function(name, d) { | |
| 3176 | - // Stores styles in builder | |
| 3177 | - // style(name, {property1:value, prop2,value}) | |
| 3178 | - // style(other, {property1:value, prop2,value}) | |
| 3179 | - // | |
| 3180 | - "use strict"; | |
| 3181 | - _whenBuilder.styles[name] = d; | |
| 3182 | -}; | |
| 3183 | - | |
| 3184 | -// | |
| 3185 | -// +------------------+ +---------------+ | |
| 3186 | -// | PropertyBuffer | * * | Geometry | | |
| 3187 | -// +------------------+ -------- +---------------+ | |
| 3188 | -// | format: | | vertex:PBuf |1 * +-----------+ +------------+ | |
| 3189 | -// | name:v2,name:v3| | indices:PBuf +---------| Renderer | | Actor | | |
| 3190 | -// | data | | | +-----------+ * * +------------+ | |
| 3191 | -// +------------------+ +---------------+ * | geom +---------| renderer(s)| | |
| 3192 | -// +----| material | | | | |
| 3193 | -// +-------------+ * * +----------+ 1 | | | | | | |
| 3194 | -// |Sampler +----------|Material +--------------+ +-----------+ +------------+ | |
| 3195 | -// +-------------+ +----------+ | |
| 3196 | -// |uniformName | * |sampler(s)| | |
| 3197 | -// |Image | +--|shader | | |
| 3198 | -// |Filter/wrap | | |facecull | | |
| 3199 | -// +-------------+ | |blendfunc | | |
| 3200 | -// | +----------+ | |
| 3201 | -// +-----------------+ | | |
| 3202 | -// |Shader | | | |
| 3203 | -// +-----------------+ 1 | | |
| 3204 | -// |program:vert,frag|---+ | |
| 3205 | -// |hints | | |
| 3206 | -// +-----------------+ | |
| 3207 | -// | |
| 3208 | - | |
| 3209 | -/** | |
| 3210 | - * Set template defintion | |
| 3211 | - */ | |
| 3212 | -dali.Builder.prototype.template = function(name, d) { | |
| 3213 | - // Stores templates in builder | |
| 3214 | - // template("name":{ "type": "ImageActor", property1:value, prop2,value}) | |
| 3215 | - // template("other: { "type": "TextView", property1:value, prop2,value}) | |
| 3216 | - "use strict"; | |
| 3217 | - _whenBuilder.templates[name] = d; | |
| 3218 | - | |
| 3219 | -}; | |
| 3220 | - | |
| 3221 | -/** | |
| 3222 | - * Set style definition | |
| 3223 | - */ | |
| 3224 | -dali.Builder.prototype.imageBuffer = function(name, d) { | |
| 3225 | - // stores imageBuffers | |
| 3226 | - // imageBuffers("buffer1", { bufferName: "" } | |
| 3227 | - // } ) | |
| 3228 | - "use strict"; | |
| 3229 | - _whenBuilder.imageBuffers[name] = d; | |
| 3230 | -}; | |
| 3231 | - | |
| 3232 | -/** | |
| 3233 | - * Set property buffer definition | |
| 3234 | - */ | |
| 3235 | -dali.Builder.prototype.propertyBuffer = function(name, d) { | |
| 3236 | - // stores PropertyBuffers | |
| 3237 | - // propertyBuffers("buffer1", { format: [ ["aPosition", dali.PropertyType.VECTOR2], | |
| 3238 | - // ["aTexCoord", dali.PropertyType.VECTOR2]. | |
| 3239 | - // data: {aPosition: [-0.5,-0.5,], | |
| 3240 | - // [+0.5,-0.5,], | |
| 3241 | - // [-0.5,+0.5,], | |
| 3242 | - // [+0.5,+0.5,], | |
| 3243 | - // aCol: [0.0, 0.0], | |
| 3244 | - // [1.0, 0.0], | |
| 3245 | - // [0.0, 1.0], | |
| 3246 | - // [1.0, 1.0] } | |
| 3247 | - // } ) | |
| 3248 | - "use strict"; | |
| 3249 | - _whenBuilder.propertyBuffers[name] = d; | |
| 3250 | -}; | |
| 3251 | - | |
| 3252 | -/** | |
| 3253 | - * Set geometry definition | |
| 3254 | - */ | |
| 3255 | -dali.Builder.prototype.geometry = function(name, d) { | |
| 3256 | - // stores geometry meshes | |
| 3257 | - // geometries("mesh1": { vertices: "buffer1", | |
| 3258 | - // index: "index1", | |
| 3259 | - // type: "TRIANGLES", | |
| 3260 | - // requresDepthTest:false } ) | |
| 3261 | - "use strict"; | |
| 3262 | - _whenBuilder.geometries[name] = d; | |
| 3263 | -}; | |
| 3264 | - | |
| 3265 | -/** | |
| 3266 | - * Set sample definition | |
| 3267 | - */ | |
| 3268 | -dali.Builder.prototype.sampler = function(name, d) { | |
| 3269 | - // stores samplers | |
| 3270 | - // samplers("sampler1", { "minification-filter":0, | |
| 3271 | - // "magnification-filter":0, | |
| 3272 | - // "u-wrap":0, | |
| 3273 | - // "v-wrap":0, | |
| 3274 | - // "affects-transparency":false}) | |
| 3275 | - "use strict"; | |
| 3276 | - _whenBuilder.samplers[name] = d; | |
| 3277 | -}; | |
| 3278 | - | |
| 3279 | -/** | |
| 3280 | - * Set shader definition | |
| 3281 | - */ | |
| 3282 | -dali.Builder.prototype.shader = function(name, d) { | |
| 3283 | - // stores shaders | |
| 3284 | - // shaders("shader1", { vertex:"", | |
| 3285 | - // fragment:"", | |
| 3286 | - // hints:"NONE"} ) | |
| 3287 | - "use strict"; | |
| 3288 | - _whenBuilder.shaders[name] = d; | |
| 3289 | -}; | |
| 3290 | - | |
| 3291 | -/** | |
| 3292 | - * Set material definition | |
| 3293 | - */ | |
| 3294 | -dali.Builder.prototype.material = function(name, d) { | |
| 3295 | - // stores materials meshes | |
| 3296 | - // materials({"mat1",{ textures: [ | |
| 3297 | - // { image: animage, | |
| 3298 | - // uniform: "uTexture" | |
| 3299 | - // sampler: asampler | |
| 3300 | - // } | |
| 3301 | - // ], | |
| 3302 | - // shader: "shader1", | |
| 3303 | - // faceCulling: "BACK", | |
| 3304 | - // blend: "AUTO", | |
| 3305 | - // blendFunc : {srcFactorRGBA, destFactorRGBA}, | |
| 3306 | - // blendEquation : "", | |
| 3307 | - // mixColor : [1,0,0,1] } ) | |
| 3308 | - // | |
| 3309 | - "use strict"; | |
| 3310 | - var value; // check required things | |
| 3311 | - value = this.GetRequiredKey(d, "shader"); | |
| 3312 | - this.GetRequiredKey(_whenBuilder.shaders, value); // must already exist | |
| 3313 | - | |
| 3314 | - // only support textures so must have textures section | |
| 3315 | - this.GetRequiredKey(d, "textures"); | |
| 3316 | - | |
| 3317 | - var i; | |
| 3318 | - for(i = 0; i < d.textures.length; i++) | |
| 3319 | - { | |
| 3320 | - if(typeof(d.textures[i]) == "string") | |
| 3321 | - { | |
| 3322 | - // the image must already exist | |
| 3323 | - value = this.GetRequiredKey(d.textures[i], "image"); | |
| 3324 | - this.GetRequiredKey(_whenBuilder.imageBuffers, value); | |
| 3325 | - } | |
| 3326 | - else | |
| 3327 | - { | |
| 3328 | - } | |
| 3329 | - } | |
| 3330 | - | |
| 3331 | - // value = this.GetRequiredKey(d, "textures"); | |
| 3332 | - // this.GetRequiredKey(_whenBuilder.textures, value); | |
| 3333 | - _whenBuilder.materials[name] = d; | |
| 3334 | -}; | |
| 3335 | - | |
| 3336 | -/** | |
| 3337 | - * Set renderer definition | |
| 3338 | - */ | |
| 3339 | -dali.Builder.prototype.renderer = function(name, d) { | |
| 3340 | - // store renderer | |
| 3341 | - // renderers("rend1", {"geometry": "geom1", | |
| 3342 | - // "material": "mat1", | |
| 3343 | - // "depth-index"}) | |
| 3344 | - "use strict"; | |
| 3345 | - var value; // check required things | |
| 3346 | - value = this.GetRequiredKey(d, "geometry"); | |
| 3347 | - this.GetRequiredKey(_whenBuilder.geometries, value); // must already exist | |
| 3348 | - value = this.GetRequiredKey(d, "material"); | |
| 3349 | - this.GetRequiredKey(_whenBuilder.materials, value); | |
| 3350 | - | |
| 3351 | - _whenBuilder.renderers[name] = d; | |
| 3352 | -}; | |
| 3353 | - | |
| 3354 | -dali.Builder.prototype.createOrGetDaliPropertyBuffer = function(name) { | |
| 3355 | - "use strict"; | |
| 3356 | - consoleAssert(name in _whenBuilder.propertyBuffers, "property buffer not defined:" + name); | |
| 3357 | - var ret; | |
| 3358 | - if("daliObject" in _whenBuilder.propertyBuffers[name]) { | |
| 3359 | - ret = _whenBuilder.propertyBuffers[name].daliObject; | |
| 3360 | - } else { | |
| 3361 | - var data = _whenBuilder.propertyBuffers[name]; | |
| 3362 | - | |
| 3363 | - ret = dali.createPropertyBuffer(data); | |
| 3364 | - | |
| 3365 | - _whenBuilder.propertyBuffers[name].daliObject = ret; | |
| 3366 | - } | |
| 3367 | - return ret; | |
| 3368 | -}; | |
| 3369 | - | |
| 3370 | -dali.Builder.prototype.createOrGetDaliGeometry = function(name) { | |
| 3371 | - "use strict"; | |
| 3372 | - consoleAssert(name in _whenBuilder.geometries, "geometry not defined:" + name); | |
| 3373 | - var ret; | |
| 3374 | - if("daliObject" in _whenBuilder.geometries[name]) { | |
| 3375 | - ret = _whenBuilder.geometries[name].daliObject; | |
| 3376 | - } else { | |
| 3377 | - var data = _whenBuilder.geometries[name]; | |
| 3378 | - | |
| 3379 | - ret = new dali.Geometry(); | |
| 3380 | - | |
| 3381 | - for(var i = 0; i < data.vertices.length; i++) { | |
| 3382 | - ret.addVertexBuffer( this.createOrGetDaliPropertyBuffer(data.vertices[i] ) ); | |
| 3383 | - } | |
| 3384 | - | |
| 3385 | - ret.setIndexBuffer( this.createOrGetDaliPropertyBuffer(data.indices) ); | |
| 3386 | - | |
| 3387 | - if("requiresSelfDepthTest" in data) { | |
| 3388 | - ret.setRequiresDepthTesting(data.requiresSelfDepthTest); | |
| 3389 | - } | |
| 3390 | - | |
| 3391 | - _whenBuilder.geometries[name].daliObject = ret; | |
| 3392 | - } | |
| 3393 | - return ret; | |
| 3394 | -}; | |
| 3395 | - | |
| 3396 | -dali.Builder.prototype.createOrGetDaliShader = function(name) { | |
| 3397 | - "use strict"; | |
| 3398 | - consoleAssert(name in _whenBuilder.shaders, "shader not defined:" + name); | |
| 3399 | - var ret = null; | |
| 3400 | - if("daliObject" in _whenBuilder.shaders[name]) { | |
| 3401 | - ret = _whenBuilder.shaders[name].daliObject; | |
| 3402 | - } else { | |
| 3403 | - var data = _whenBuilder.shaders[name]; | |
| 3404 | - | |
| 3405 | - ret = new dali.Shader(data.vertex, | |
| 3406 | - data.fragment, | |
| 3407 | - uiShaderTab.getDaliShaderHints(data.hints)); | |
| 3408 | - | |
| 3409 | - _whenBuilder.shaders[name].daliObject = ret; | |
| 3410 | - } | |
| 3411 | - | |
| 3412 | - return ret; | |
| 3413 | -}; | |
| 3414 | - | |
| 3415 | -dali.Builder.prototype.createOrGetDaliImage = function(name) { | |
| 3416 | - "use strict"; | |
| 3417 | - if(!(name in _whenBuilder.imageBuffers)) { | |
| 3418 | - _whenBuilder.imageBuffers[name] = {}; | |
| 3419 | - } | |
| 3420 | - | |
| 3421 | - var ret; | |
| 3422 | - if("daliObject" in _whenBuilder.imageBuffers[name]) { | |
| 3423 | - ret = _whenBuilder.imageBuffers[name].daliObject; | |
| 3424 | - } else { | |
| 3425 | - // get images from the ui buffer | |
| 3426 | - ret = imageFromUiBuffer(name); | |
| 3427 | - _whenBuilder.imageBuffers[name].daliObject = ret; | |
| 3428 | - } | |
| 3429 | - return ret; | |
| 3430 | -}; | |
| 3431 | - | |
| 3432 | -dali.Builder.prototype.createOrGetDaliSampler = function(name) { | |
| 3433 | - "use strict"; | |
| 3434 | - consoleAssert( name in _whenBuilder.samplers, "sampler not defined:" + name); | |
| 3435 | - var ret; | |
| 3436 | - if("daliObject" in _whenBuilder.samplers[name]) { | |
| 3437 | - ret = _whenBuilder.samplers[name].daliObject; | |
| 3438 | - } else { | |
| 3439 | - var data = _whenBuilder.samplers[name]; | |
| 3440 | - ret = new dali.Sampler(); | |
| 3441 | - _whenBuilder.samplers[name].daliObject = ret; | |
| 3442 | - } | |
| 3443 | - return ret; | |
| 3444 | -}; | |
| 3445 | - | |
| 3446 | -dali.Builder.prototype.createOrGetDaliMaterial = function(name) { | |
| 3447 | - "use strict"; | |
| 3448 | - consoleAssert( name in _whenBuilder.materials, "Material not defined:" + name); | |
| 3449 | - var ret; | |
| 3450 | - if("daliObject" in _whenBuilder.materials[name]) { | |
| 3451 | - ret = _whenBuilder.materials[name].daliObject; | |
| 3452 | - } else { | |
| 3453 | - var data = _whenBuilder.materials[name]; | |
| 3454 | - | |
| 3455 | - ret = new dali.Material(this.createOrGetDaliShader( data.shader )); | |
| 3456 | - | |
| 3457 | - for(var i = 0; i < data.textures.length; i++) { | |
| 3458 | - ret.addTexture( this.createOrGetDaliImage(data.textures[i].image), | |
| 3459 | - data.textures[i].uniform, | |
| 3460 | - this.createOrGetDaliSampler( data.textures[i].sampler ) ); | |
| 3461 | - } | |
| 3462 | - | |
| 3463 | - _whenBuilder.materials[name].daliObject = ret; | |
| 3464 | - } | |
| 3465 | - return ret; | |
| 3466 | -}; | |
| 3467 | - | |
| 3468 | -dali.Builder.prototype.createOrGetDaliRenderer = function(name) { | |
| 3469 | - "use strict"; | |
| 3470 | - consoleAssert( name in _whenBuilder.renderers, "Renderer not defined:" + name); | |
| 3471 | - | |
| 3472 | - var ret; | |
| 3473 | - if("daliObject" in _whenBuilder.renderers[name]) { | |
| 3474 | - ret = _whenBuilder.renderers[name].daliObject; | |
| 3475 | - } else { | |
| 3476 | - var data = _whenBuilder.renderers[name]; | |
| 3477 | - | |
| 3478 | - ret = new dali.Renderer(this.createOrGetDaliGeometry(data.geometry), | |
| 3479 | - this.createOrGetDaliMaterial(data.material)); | |
| 3480 | - | |
| 3481 | - _whenBuilder.renderers[name].daliObject = ret; | |
| 3482 | - } | |
| 3483 | - return ret; | |
| 3484 | -}; | |
| 3485 | - | |
| 3486 | -dali.Builder.prototype.createActorTree = function(dictionary) { | |
| 3487 | - "use strict"; | |
| 3488 | - var ret; | |
| 3489 | - var i; | |
| 3490 | - consoleAssert(typeof(dictionary) == "object", "createActorTree needs an object"); | |
| 3491 | - | |
| 3492 | - if("type" in dictionary) { | |
| 3493 | - if( dictionary.type in dali ) { | |
| 3494 | - ret = new dali[ dictionary.type ](); | |
| 3495 | - } else if( dictionary.type in _whenBuilder.templates ) { | |
| 3496 | - var realType = _whenBuilder.templates[ dictionary.type ].type; | |
| 3497 | - ret = new dali[ realType ](); | |
| 3498 | - } else { | |
| 3499 | - consoleAssert(0, "Cannot find type to create:" + dictionary.type); | |
| 3500 | - } | |
| 3501 | - } else { | |
| 3502 | - consoleAssert("render" in dictionary, "'type' or 'render needed to create dali object"); | |
| 3503 | - ret = new dali.Actor(); | |
| 3504 | - } | |
| 3505 | - | |
| 3506 | - var tags = []; | |
| 3507 | - | |
| 3508 | - for(var prop in dictionary) { | |
| 3509 | - if( prop === "actors" ) { | |
| 3510 | - var actors = dictionary[prop]; | |
| 3511 | - for(i = 0; i < actors.length; i++) { | |
| 3512 | - ret.add( this.createActorTree( actors[i] ) ); | |
| 3513 | - } | |
| 3514 | - } else if( prop === "tag" ) { | |
| 3515 | - tags.push(dictionary.tag); | |
| 3516 | - } else if( prop === "tags" ) { | |
| 3517 | - tags.concat(dictionary.tags); | |
| 3518 | - } else if( prop === "type" ) { | |
| 3519 | - // ignore | |
| 3520 | - } else if( prop === "render") { | |
| 3521 | - var renderer; | |
| 3522 | - if(typeof(dictionary.render) == "string") | |
| 3523 | - { | |
| 3524 | - renderer = this.createOrGetDaliRenderer(dictionary.render); | |
| 3525 | - ret.addRenderer(renderer); | |
| 3526 | - } | |
| 3527 | - else | |
| 3528 | - { | |
| 3529 | - for(i = 0; i < dictionary.render.length; i++) { | |
| 3530 | - renderer = this.createOrGetDaliRenderer(dictionary.render[i]); | |
| 3531 | - ret.addRenderer(renderer); | |
| 3532 | - } | |
| 3533 | - } | |
| 3534 | - } else { | |
| 3535 | - // a property set | |
| 3536 | - ret[prop] = dictionary[prop]; | |
| 3537 | - } | |
| 3538 | - } | |
| 3539 | - | |
| 3540 | - if(tags) { | |
| 3541 | - for(i = 0; i < tags.length; i++) { | |
| 3542 | - this.tag(ret, tags[i]); | |
| 3543 | - } | |
| 3544 | - } | |
| 3545 | - | |
| 3546 | - return ret; | |
| 3547 | -}; | |
| 3548 | - | |
| 3549 | -/** | |
| 3550 | - * Adds actor defintions to stage. | |
| 3551 | - */ | |
| 3552 | -dali.Builder.prototype.stage = function(/* actor definition array */) { | |
| 3553 | - "use strict"; | |
| 3554 | - for(var i = 0; i < arguments.length; i++) { | |
| 3555 | - dali.stage.add( this.createActorTree( arguments[i] ) ); | |
| 3556 | - } | |
| 3557 | -}; | |
| 3558 | - | |
| 3559 | -/** | |
| 3560 | - * Adds actor defintions to stage. | |
| 3561 | - */ | |
| 3562 | -dali.Builder.prototype.addTo = function(/* toActor, actor_definition_array */) { | |
| 3563 | - "use strict"; | |
| 3564 | - consoleAssert(typeof(arguments[0]) == "string", "1st argument must be name"); | |
| 3565 | - | |
| 3566 | - var i; | |
| 3567 | - | |
| 3568 | - for(i = 1; i < arguments.length; i++) { | |
| 3569 | - consoleAssert(typeof(arguments[1]) == "object", "2nd and other arguments must be object"); | |
| 3570 | - } | |
| 3571 | - | |
| 3572 | - var actor; | |
| 3573 | - if( arguments[0] == "stage" ) { | |
| 3574 | - actor = dali.stage.getRootLayer(); | |
| 3575 | - } | |
| 3576 | - else { | |
| 3577 | - actor = dali.stage.getRootLayer().findChildByName( arguments[0] ); | |
| 3578 | - consoleAssert(actor, "Cannot find actor:" + arguments[0]); | |
| 3579 | - } | |
| 3580 | - | |
| 3581 | - for(i = 1; i < arguments.length; i++) { | |
| 3582 | - dali.stage.add( this.createActorTree( arguments[i] ) ); | |
| 3583 | - } | |
| 3584 | -}; | |
| 3585 | - | |
| 3586 | -/** | |
| 3587 | - * Adds actor defintions to stage. | |
| 3588 | - */ | |
| 3589 | -dali.Builder.prototype.GetRequiredKey = function(object, name, caller) { | |
| 3590 | - if( name in object ) | |
| 3591 | - { | |
| 3592 | - return object[name]; | |
| 3593 | - } | |
| 3594 | - else | |
| 3595 | - { | |
| 3596 | - consoleAssert(0, "Object is missing key:'" + name + "'\n" + JSON.stringify(object)); | |
| 3597 | - return false; | |
| 3598 | - } | |
| 3599 | -}; | |
| 3600 | - | |
| 3601 | -dali.Builder.prototype.image = function(dictionary) { | |
| 3602 | - // image({name:"name" | |
| 3603 | - // | |
| 3604 | - // }) | |
| 3605 | - // | |
| 3606 | - // | |
| 3607 | - "use strict"; | |
| 3608 | - var d = {}; | |
| 3609 | - var name = this.GetRequiredKey(dictionary, "name"); | |
| 3610 | - | |
| 3611 | - var shaderName = "imageShader"; | |
| 3612 | - if("shader" in dictionary) { | |
| 3613 | - shaderName = dictionary.shader; | |
| 3614 | - } | |
| 3615 | - var samplers = [name + "_sampler"]; | |
| 3616 | - if("samplers" in dictionary) { | |
| 3617 | - samplers = dictionary.samplers; | |
| 3618 | - } | |
| 3619 | - | |
| 3620 | - var samplername = name + "_sampler"; | |
| 3621 | - d = {}; | |
| 3622 | - d[samplername] = {}; | |
| 3623 | - this.samplers(d); | |
| 3624 | - | |
| 3625 | - var matname = name + "_material"; | |
| 3626 | - d = {}; | |
| 3627 | - d[matname] = {shader: shaderName, textures: [ {image: this.GetRequiredKey(dictionary, "image"), | |
| 3628 | - uniform: "sTexture", | |
| 3629 | - sampler: samplername}]}; | |
| 3630 | - this.materials(d); | |
| 3631 | - | |
| 3632 | - var rendname = name + "_renderer"; | |
| 3633 | - d = {}; | |
| 3634 | - d[rendname] = {geometry: "imageGeometry", material: matname}; | |
| 3635 | - this.renderers(d); | |
| 3636 | - | |
| 3637 | - // store imageBuffers if they are missing for image | |
| 3638 | - // (we're only using image data from browser buffers) | |
| 3639 | - if( !(dictionary.image in _whenBuilder.imageBuffers) ) { // add to _whenBuilder | |
| 3640 | - d = {}; | |
| 3641 | - d[dictionary.image] = { bufferName: dictionary.image }; | |
| 3642 | - this.imageBuffers(d); | |
| 3643 | - } | |
| 3644 | - | |
| 3645 | - dictionary.type = "Actor"; | |
| 3646 | - dictionary.renderers = [rendname]; | |
| 3647 | - | |
| 3648 | - return dictionary; | |
| 3649 | -}; | |
| 3650 | - | |
| 3651 | -//////////////////////////////////////////////////////////////////////////////// | |
| 3652 | -// | |
| 3653 | -// dali toy Builder singleton | |
| 3654 | -// | |
| 3655 | -// | |
| 3656 | -//////////////////////////////////////////////////////////////////////////////// | |
| 3657 | -var build = new dali.Builder(); | |
| 3658 | - | |
| 3659 | -//////////////////////////////////////////////////////////////////////////////// | |
| 3660 | -// | |
| 3661 | -// | |
| 3662 | -// | |
| 3663 | -//////////////////////////////////////////////////////////////////////////////// | |
| 3664 | -function _addTypeToDictionaryClosure(actorType) { | |
| 3665 | - "use strict"; | |
| 3666 | - return function(dictionary) { | |
| 3667 | - dictionary.type = actorType; | |
| 3668 | - return dictionary; | |
| 3669 | - }; | |
| 3670 | -} | |
| 3671 | - | |
| 3672 | -// @ todo; why is this global? | |
| 3673 | -var HTML5Image = Image; // html5 also has "Image" which were about to overwrite | |
| 3674 | -var _registry = new dali.TypeRegistry(); | |
| 3675 | -for(var _i = 0; _i < _registry.getTypeNameCount(); _i++) { | |
| 3676 | - var _typename = _registry.getTypeName(_i); | |
| 3677 | - this[_typename] = _addTypeToDictionaryClosure(_typename); | |
| 3678 | -} | |
| 3679 | - | |
| 3680 | -function _actorArray(actorOrName) { | |
| 3681 | - "use strict"; | |
| 3682 | - if(typeof actorOrName === "string") { | |
| 3683 | - return [actorOrName]; | |
| 3684 | - } else { | |
| 3685 | - return [actorOrName.name]; | |
| 3686 | - } | |
| 3687 | -} | |
| 3688 | - | |
| 3689 | -function _actorIdList(a) { | |
| 3690 | - "use strict"; | |
| 3691 | - var ret = []; | |
| 3692 | - if("length" in a) { | |
| 3693 | - for(var item in a) { | |
| 3694 | - ret.push( _actorId(item) ); | |
| 3695 | - } | |
| 3696 | - } else { | |
| 3697 | - ret.push( _actorId(a) ); | |
| 3698 | - } | |
| 3699 | - return ret; | |
| 3700 | -} | |
| 3701 | - | |
| 3702 | - | |
| 3703 | -function _functionName(fun) { | |
| 3704 | - "use strict"; | |
| 3705 | - var ret = fun.toString(); | |
| 3706 | - ret = ret.substr("function ".length); | |
| 3707 | - ret = ret.substr(0, ret.indexOf("(")); | |
| 3708 | - return ret; | |
| 3709 | -} | |
| 3710 | - | |
| 3711 | -function _numberOrRaise(value, errorMessage) { | |
| 3712 | - "use strict"; | |
| 3713 | - if(typeof value === "number") { | |
| 3714 | - return value; | |
| 3715 | - } else { | |
| 3716 | - throw errorMessage; | |
| 3717 | - } | |
| 3718 | -} | |
| 3719 | - | |
| 3720 | -function _stringOrRaise(value, errorMessage) { | |
| 3721 | - "use strict"; | |
| 3722 | - if(typeof value === "string") { | |
| 3723 | - return value; | |
| 3724 | - } else { | |
| 3725 | - throw errorMessage; | |
| 3726 | - } | |
| 3727 | -} | |
| 3728 | - | |
| 3729 | -// Animate to | |
| 3730 | -// to(value) | |
| 3731 | -// to(value, delay, duration) | |
| 3732 | -// to(value, delay, duration, interpolation) | |
| 3733 | -// ie | |
| 3734 | -// to([10,10,10] | |
| 3735 | -// to([10,10,10], 0,3, "ease_in")), | |
| 3736 | -function to() { | |
| 3737 | - "use strict"; | |
| 3738 | - var ret = { animate: "animateTo", | |
| 3739 | - value: null, | |
| 3740 | - delay: 0, | |
| 3741 | - duration: 0, | |
| 3742 | - alpha: "linear"}; | |
| 3743 | - | |
| 3744 | - ret.value = arguments[0]; // property value | |
| 3745 | - if( arguments.length > 1 ) { | |
| 3746 | - ret.delay = _numberOrRaise(arguments[1], "Delay must be a number"); | |
| 3747 | - } | |
| 3748 | - if( arguments.length > 2 ) { | |
| 3749 | - ret.duration = _numberOrRaise(arguments[2], "Duration must be a number"); | |
| 3750 | - } | |
| 3751 | - if( arguments.length > 3 ) { // optional | |
| 3752 | - ret.alpha = arguments[3]; | |
| 3753 | - } | |
| 3754 | - return ret; | |
| 3755 | -} | |
| 3756 | - | |
| 3757 | -// Animate by | |
| 3758 | -// by(value) | |
| 3759 | -// by(value, delay, duration) | |
| 3760 | -// by(value, delay, duration, interpolation) | |
| 3761 | -// ie | |
| 3762 | -// by([10,10,10] | |
| 3763 | -// by([10,10,10], 0,3, "ease_in")), | |
| 3764 | -function by() { | |
| 3765 | - "use strict"; | |
| 3766 | - var ret = { animate: "animateBy", | |
| 3767 | - value: null, | |
| 3768 | - delay: 0, | |
| 3769 | - duration: 0, | |
| 3770 | - alpha: "linear"}; | |
| 3771 | - | |
| 3772 | - ret.value = arguments[0]; // property value | |
| 3773 | - if( arguments.length > 1 ) { | |
| 3774 | - ret.delay = _numberOrRaise(arguments[1], "Delay must be a number"); | |
| 3775 | - } | |
| 3776 | - if( arguments.length > 2 ) { | |
| 3777 | - ret.duration = _numberOrRaise(arguments[2], "Duration must be a number"); | |
| 3778 | - } | |
| 3779 | - if( arguments.length > 3 ) { // optional | |
| 3780 | - ret.alpha = arguments[3]; | |
| 3781 | - } | |
| 3782 | - return ret; | |
| 3783 | -} | |
| 3784 | - | |
| 3785 | -// Animate between | |
| 3786 | -// between(fromValue, toValue) | |
| 3787 | -// between(fromValue, toValue, delay, duration) | |
| 3788 | -// between(fromValue, toValue, delay, duration, interpolation) | |
| 3789 | -// ie | |
| 3790 | -// between([10,10,10], [100,10,10] | |
| 3791 | -// between([10,10,10], [100,10,10], 0,3, "ease_in")), | |
| 3792 | -function between() { | |
| 3793 | - "use strict"; | |
| 3794 | - var ret = { animate: "animateBy", | |
| 3795 | - fromValue: null, | |
| 3796 | - toValue: null, | |
| 3797 | - delay: 0, | |
| 3798 | - duration: 0, | |
| 3799 | - alpha: "linear"}; | |
| 3800 | - | |
| 3801 | - ret.value = arguments[0]; // property value | |
| 3802 | - ret.value = arguments[1]; // property value | |
| 3803 | - if( arguments.length > 2 ) { | |
| 3804 | - ret.delay = _numberOrRaise(arguments[2], "Delay must be a number"); | |
| 3805 | - } | |
| 3806 | - if( arguments.length > 3 ) { | |
| 3807 | - ret.duration = _numberOrRaise(arguments[3], "Duration must be a number"); | |
| 3808 | - } | |
| 3809 | - | |
| 3810 | - if( arguments.length > 4 ) { // optional | |
| 3811 | - ret.alpha = arguments[4]; | |
| 3812 | - } | |
| 3813 | - return ret; | |
| 3814 | -} | |
| 3815 | - | |
| 3816 | -// Animate path | |
| 3817 | -// path(pathName) | |
| 3818 | -// path(pathName, delay, duration) | |
| 3819 | -// path(pathName, delay, duration, interpolation) | |
| 3820 | -// ie | |
| 3821 | -// path("path0", 0, 3, "linear") | |
| 3822 | -function path() { | |
| 3823 | - "use strict"; | |
| 3824 | - var ret = { animate: "path", | |
| 3825 | - path: null, | |
| 3826 | - forward: [1, 0, 0], | |
| 3827 | - delay: 0, | |
| 3828 | - duration: 0, | |
| 3829 | - alpha: "linear"}; | |
| 3830 | - | |
| 3831 | - ret.path = arguments[0]; // path | |
| 3832 | - if( arguments.length > 1 ) { | |
| 3833 | - ret.delay = _numberOrRaise(arguments[1], "Delay must be a number"); | |
| 3834 | - } | |
| 3835 | - if( arguments.length > 2 ) { | |
| 3836 | - ret.duration = _numberOrRaise(arguments[2], "Duration must be a number"); | |
| 3837 | - } | |
| 3838 | - | |
| 3839 | - if( arguments.length > 3 ) { // optional | |
| 3840 | - ret.alpha = arguments[3]; | |
| 3841 | - } | |
| 3842 | - return ret; | |
| 3843 | -} | |
| 3844 | - | |
| 3845 | -// conditional animation | |
| 3846 | -// when("myimage", condition("touch", "inside", 0, 100), | |
| 3847 | -// | |
| 3848 | -function condition(propertyName, conditionType, arg0, arg1) | |
| 3849 | -{ | |
| 3850 | - "use strict"; | |
| 3851 | - var ret = { actors: [], | |
| 3852 | - property: propertyName, | |
| 3853 | - type: conditionType, | |
| 3854 | - arg0: arg0, | |
| 3855 | - arg1: arg1 | |
| 3856 | - }; | |
| 3857 | - | |
| 3858 | - if(arg1 === undefined) { | |
| 3859 | - ret.arg1 = 0.0; // make a float for the c++ call (ignored if irrelevant) | |
| 3860 | - } | |
| 3861 | - | |
| 3862 | - return ret; | |
| 3863 | -} | |
| 3864 | - | |
| 3865 | -// set animation | |
| 3866 | -// set(actorOrListOrNone, signalName, animationDefition) | |
| 3867 | -// ie | |
| 3868 | -// set("myimage", "size", to([10,10,10], 0,3, "ease_in"), | |
| 3869 | -// path(0,3, "ease_in", "path0")) | |
| 3870 | -// set("size", to([10,10,10], 0,3, "ease_in")), | |
| 3871 | -// between([0,0,0], [10,10,10], 0,3, "ease_in"))) | |
| 3872 | -// set(tagged("scrollitem), "position", path(0,3, "ease_in", "path0")), | |
| 3873 | -// set(excludeFrom(tagged("scrollitem"), "myimage"), "position", path(0,3, "ease_in", "path0")), | |
| 3874 | -function set() { | |
| 3875 | - "use strict"; | |
| 3876 | - var ret = { action: "set", | |
| 3877 | - actors: [], | |
| 3878 | - property: null, | |
| 3879 | - animation: [] | |
| 3880 | - }; | |
| 3881 | - | |
| 3882 | - var index; | |
| 3883 | - if( arguments.length === 3 ) { // then actor is specified somehow | |
| 3884 | - ret.actors = _actorArray( arguments[0] ); | |
| 3885 | - ret.property = _stringOrRaise(arguments[1], "Property must be a string"); | |
| 3886 | - index = 2; | |
| 3887 | - } else if( arguments.length === 2 ) { // actor is self (indicated in 'when' call) | |
| 3888 | - ret.property = _stringOrRaise(arguments[0], "Property must be a string"); | |
| 3889 | - index = 1; | |
| 3890 | - } else { | |
| 3891 | - throw "set needs 2 or 3 arguments"; | |
| 3892 | - } | |
| 3893 | - | |
| 3894 | - for(var i = index; i < arguments.length; i++) { | |
| 3895 | - ret.animation.push( arguments[i] ); | |
| 3896 | - } | |
| 3897 | - | |
| 3898 | - return ret; | |
| 3899 | -} | |
| 3900 | - | |
| 3901 | -// set animation | |
| 3902 | -// call(function, arg0, arg1) | |
| 3903 | -// ie | |
| 3904 | -// call(func) | |
| 3905 | -// call(func, 10.0, "enable") | |
| 3906 | -function call() { | |
| 3907 | - "use strict"; | |
| 3908 | - var ret = { action: "call", | |
| 3909 | - arguments: [], | |
| 3910 | - func: null | |
| 3911 | - }; | |
| 3912 | - | |
| 3913 | - ret.func = arguments[0]; | |
| 3914 | - | |
| 3915 | - for(var i = 1; i < arguments.length; i++) { | |
| 3916 | - ret.arguments.push( arguments[i] ); | |
| 3917 | - } | |
| 3918 | - | |
| 3919 | - return ret; | |
| 3920 | -} | |
| 3921 | - | |
| 3922 | -function then() | |
| 3923 | -{ | |
| 3924 | - "use strict"; | |
| 3925 | - return [{ action: arguments[0], | |
| 3926 | - parameters: arguments[1]}]; | |
| 3927 | -} | |
| 3928 | - | |
| 3929 | -function _actorNameList() | |
| 3930 | -{ | |
| 3931 | - "use strict"; | |
| 3932 | - var names; | |
| 3933 | - if(typeof arguments[0] === "function") { | |
| 3934 | - var lookup = arguments[0](); | |
| 3935 | - names = lookup[0]; | |
| 3936 | - } else if(typeof arguments[0] === "object") { | |
| 3937 | - // or it can be the actual dali actor object | |
| 3938 | - names = _actorArray(arguments[0].name); | |
| 3939 | - } else if(typeof arguments[0] === "string") { | |
| 3940 | - // or arg0,arg1 are the actor property | |
| 3941 | - names = _actorArray(arguments[0]); | |
| 3942 | - } else { | |
| 3943 | - return names; // presume already actor name list | |
| 3944 | - } | |
| 3945 | - return names; | |
| 3946 | -} | |
| 3947 | - | |
| 3948 | -var _buildDescription = {animations:{}, templates:{}}; | |
| 3949 | - | |
| 3950 | -function _animation(a) { | |
| 3951 | - if(a) { | |
| 3952 | - return a; | |
| 3953 | - } else { | |
| 3954 | - return new dali.Animation(0); | |
| 3955 | - } | |
| 3956 | -} | |
| 3957 | - | |
| 3958 | -// function _makeActionCallback(func, args) { | |
| 3959 | -// "use strict"; | |
| 3960 | -// return function(){ | |
| 3961 | -// var a; | |
| 3962 | -// for(var i = 0; i < args.length; i++) { | |
| 3963 | -// var d = args[i]; | |
| 3964 | -// if( d.action === "set" ) { | |
| 3965 | -// for(var ai = 0; ai < d.actors.length; ai++) { | |
| 3966 | -// if( d.property ) { | |
| 3967 | -// apply(_animation, | |
| 3968 | -// d.arguments[0].animate, | |
| 3969 | - | |
| 3970 | -// anim.push( [d.actors[ai]], d.property, | |
| 3971 | -// } | |
| 3972 | -// } | |
| 3973 | -// } | |
| 3974 | - | |
| 3975 | -// var ret = { action: "set", | |
| 3976 | -// actors: [], | |
| 3977 | -// property: null, | |
| 3978 | -// condition: null, | |
| 3979 | -// animation: [] | |
| 3980 | -// }; | |
| 3981 | - | |
| 3982 | - | |
| 3983 | -// func.apply(null, args); | |
| 3984 | -// }; | |
| 3985 | -// } | |
| 3986 | - | |
| 3987 | -function loop(on) | |
| 3988 | -{ | |
| 3989 | - "use strict"; | |
| 3990 | - return { action: "loop", | |
| 3991 | - value: on}; | |
| 3992 | -} | |
| 3993 | - | |
| 3994 | -function endAction(action) | |
| 3995 | -{ | |
| 3996 | - "use strict"; | |
| 3997 | - return { action: "endAction", | |
| 3998 | - value: action}; | |
| 3999 | -} | |
| 4000 | - | |
| 4001 | -function disconnectAction(action) | |
| 4002 | -{ | |
| 4003 | - "use strict"; | |
| 4004 | - return { action: "disconnectAction", | |
| 4005 | - value: action}; | |
| 4006 | -} | |
| 4007 | - | |
| 4008 | - | |
| 4009 | -function _makeCallback(args) { | |
| 4010 | - "use strict"; | |
| 4011 | - return function(){ | |
| 4012 | - var a; | |
| 4013 | - var actors = _actorNameList( args[0] ); | |
| 4014 | - // args[1] is signal name | |
| 4015 | - for(var i = 2; i < args.length; i++) { | |
| 4016 | - var d = args[i]; | |
| 4017 | - if(d.action === "call") { | |
| 4018 | - d.func.apply(null, d.arguments); | |
| 4019 | - } else if(d.action === "loop") { | |
| 4020 | - a = _animation(a); | |
| 4021 | - a.setLooping( d.value ); | |
| 4022 | - } else if(d.action === "endAction") { | |
| 4023 | - a = _animation(a); | |
| 4024 | - a.setEndAction( d.value ); | |
| 4025 | - } else if(d.action === "disconnectAction") { | |
| 4026 | - a = _animation(a); | |
| 4027 | - a.setDisconnectAction( d.value ); | |
| 4028 | - } else if(d.action === "set") { | |
| 4029 | - if( d.actors.length ) { | |
| 4030 | - actors = d.actors; | |
| 4031 | - } | |
| 4032 | - for(var actori = 0; actori < actors.length; actori++) { | |
| 4033 | - var actorName = actors[actori]; | |
| 4034 | - var root = dali.stage.getRootLayer(); | |
| 4035 | - var actor = root.findChildByName( actorName ); | |
| 4036 | - a = _animation(a); | |
| 4037 | - for(var animi = 0; animi < d.animation.length; animi++) { | |
| 4038 | - var anim = d.animation[animi]; | |
| 4039 | - var value = anim.value; | |
| 4040 | - if(typeof value === "function") { // can be a function | |
| 4041 | - value = value(); | |
| 4042 | - } | |
| 4043 | - if(anim.animate === "animateTo") { | |
| 4044 | - a.animateTo(actor, d.property, value, anim.alpha, anim.delay, anim.duration); | |
| 4045 | - } else if(anim.animate === "animateBy") { | |
| 4046 | - a.animateBy(actor, d.property, value, anim.alpha, anim.delay, anim.duration); | |
| 4047 | - } else if(anim.animate === "animatePath") { | |
| 4048 | - var pathData = anim.path; | |
| 4049 | - var daliPath; | |
| 4050 | - if(typeof pathData === "function") { | |
| 4051 | - pathData = pathData(); | |
| 4052 | - } | |
| 4053 | - if(typeof pathData === "string") { | |
| 4054 | - if(pathData in _whenBuilder.paths) { | |
| 4055 | - daliPath = _whenBuilder.paths[pathData]; | |
| 4056 | - } else { | |
| 4057 | - throw "Path not known"; | |
| 4058 | - } | |
| 4059 | - } else { | |
| 4060 | - daliPath = new dali.Path(); | |
| 4061 | - daliPath.points = pathData; | |
| 4062 | - dali.generateControlPoints(daliPath, 0.35); // @todo remove magic number? | |
| 4063 | - } | |
| 4064 | - _animation(a).animatePath(actor, daliPath, anim.forward, anim.alpha, anim.delay, anim.duration); | |
| 4065 | - } else { | |
| 4066 | - throw ""; | |
| 4067 | - } | |
| 4068 | - } // for anims | |
| 4069 | - } // for actors | |
| 4070 | - } | |
| 4071 | - }// for args | |
| 4072 | - | |
| 4073 | - // animation support? | |
| 4074 | - // else if( d.action === "animate" ) { | |
| 4075 | - // } | |
| 4076 | - | |
| 4077 | - // actions support?? | |
| 4078 | - // else if( d.action === "then" ) { | |
| 4079 | - // if( d.actors.length ) { | |
| 4080 | - // actors = d.actors; | |
| 4081 | - // } | |
| 4082 | - | |
| 4083 | - if(a) { | |
| 4084 | - a.play(); | |
| 4085 | - } | |
| 4086 | - }; // closure function | |
| 4087 | -} // _makeCallback | |
| 4088 | - | |
| 4089 | - | |
| 4090 | -// doNow(<defaultActor>, ...) | |
| 4091 | -// | |
| 4092 | -// doNow("myimage", | |
| 4093 | -// call(myfunction), | |
| 4094 | -// call(myfunction, arg1), | |
| 4095 | -// and("animation-ends"), | |
| 4096 | -// set("myimage", "size", to([10,10,10]), | |
| 4097 | -// to([10,10,10], 0,3, "ease_in")), | |
| 4098 | -// path(0,3, "ease_in", "path0")), | |
| 4099 | -// between([0,0,0], [10,10,10], 0,3, "ease_in")), | |
| 4100 | -// to([0,0,0], 0, 3) | |
| 4101 | -// set(tagged("scrollitem), path(0,3, "ease_in", "path0")), | |
| 4102 | -// set(excludeFrom(tagged("scrollitem"), "myimage"), path(0,3, "ease_in", "path0")), | |
| 4103 | -// endAction("bake"), | |
| 4104 | -// discardAction("bake"), | |
| 4105 | -// loop(true), | |
| 4106 | -// then("myimage", "hide"), | |
| 4107 | -// then("quit"), | |
| 4108 | -// then("play", "myanim"), | |
| 4109 | -// thenOnChild("myimage", "child", "hide"), | |
| 4110 | -// animate("name"), | |
| 4111 | -// animateTo("position", | |
| 4112 | -// ) | |
| 4113 | -function doNow(args) { | |
| 4114 | - "use strict"; | |
| 4115 | - var actor = args.shift(); | |
| 4116 | - args.unshift(""); // signal name | |
| 4117 | - args.unshift(actor); | |
| 4118 | - var cb = _makeCallback.apply(null, args); | |
| 4119 | - cb(); | |
| 4120 | -} | |
| 4121 | - | |
| 4122 | -function _makeSensibleTouched(func, state) { // dali giving all mouse events on touched signal --- is this correct?? @todo | |
| 4123 | - "use strict"; | |
| 4124 | - return function(actor, touch){ | |
| 4125 | - var doit = false; | |
| 4126 | - for(var i = 0; i < touch.points.length; i++) { | |
| 4127 | - if(touch.points[i].state === state) { | |
| 4128 | - doit = true; | |
| 4129 | - break; | |
| 4130 | - } | |
| 4131 | - } | |
| 4132 | - if(doit) { | |
| 4133 | - func.apply( null, arguments); | |
| 4134 | - } | |
| 4135 | - }; | |
| 4136 | -} | |
| 4137 | - | |
| 4138 | -// function _connectToSignal(actors, signalName, func) { | |
| 4139 | -// "use strict"; | |
| 4140 | -// var root = dali.stage.getRootLayer(); | |
| 4141 | -// var f = func; | |
| 4142 | - | |
| 4143 | -// if( signalName === "touchedDown" ) { // fix as touched signal is really "mouseState"? | |
| 4144 | -// f = _makeSensibleTouchedDown(func); | |
| 4145 | -// signalName = "touch"; | |
| 4146 | -// } | |
| 4147 | - | |
| 4148 | -// for(var ai = 0; ai < actors.length; ai++) { | |
| 4149 | -// var actor = root.findChildByName( actors[ai] ); | |
| 4150 | -// actor.connect( signalName, f ); | |
| 4151 | -// } | |
| 4152 | -// } | |
| 4153 | - | |
| 4154 | - | |
| 4155 | -// when("myimage", condition("touch", "inside", 0, 100), | |
| 4156 | -// or | |
| 4157 | -// when("myimage", "touch", | |
| 4158 | -// call(myfunction), | |
| 4159 | -// call(myfunction, arg1), | |
| 4160 | -// and("animation-ends"), | |
| 4161 | -// set("myimage", "size", to([10,10,10]), | |
| 4162 | -// to([10,10,10], 0,3, "ease_in")), | |
| 4163 | -// path(0,3, "ease_in", "path0")), | |
| 4164 | -// between([0,0,0], [10,10,10], 0,3, "ease_in")), | |
| 4165 | -// to([0,0,0], 0, 3) | |
| 4166 | -// set(tagged("scrollitem), path(0,3, "ease_in", "path0")), | |
| 4167 | -// set(excludeFrom(tagged("scrollitem"), "myimage"), path(0,3, "ease_in", "path0")), | |
| 4168 | -// endAction("bake"), | |
| 4169 | -// discardAction("bake"), | |
| 4170 | -// loop(true), | |
| 4171 | -// then("myimage", "hide"), | |
| 4172 | -// then("quit"), | |
| 4173 | -// then("play", "myanim"), | |
| 4174 | -// thenOnChild("myimage", "child", "hide"), | |
| 4175 | -// animate("name"), | |
| 4176 | -// ) | |
| 4177 | -function when() { | |
| 4178 | - "use strict"; | |
| 4179 | - var actors, property, index; | |
| 4180 | - var signal = null; | |
| 4181 | - var condition = null; | |
| 4182 | - | |
| 4183 | - // arg0 can be an actor lookup function; returning an actor array | |
| 4184 | - actors = _actorNameList(arguments[0]); | |
| 4185 | - | |
| 4186 | - if(typeof arguments[1] === "string") { | |
| 4187 | - // if string then its a signal | |
| 4188 | - signal = arguments[1]; | |
| 4189 | - } else { | |
| 4190 | - // if object then its a condition | |
| 4191 | - condition = arguments[1]; | |
| 4192 | - // actors can be null which means use the actors in when() call | |
| 4193 | - if(condition.actors === null) { | |
| 4194 | - condition.actor = actors[0]; | |
| 4195 | - } | |
| 4196 | - } | |
| 4197 | - | |
| 4198 | - var root; | |
| 4199 | - var f; | |
| 4200 | - var ai; | |
| 4201 | - var actor; | |
| 4202 | - | |
| 4203 | - if(signal) { | |
| 4204 | - // _connectToSignal( actors, signal, _makeCallback(arguments) ); | |
| 4205 | - root = dali.stage.getRootLayer(); | |
| 4206 | - f = _makeCallback(arguments); | |
| 4207 | - | |
| 4208 | - if( signal === "touchedDown" ) { // fix as touched signal is really "mouseState"? | |
| 4209 | - f = _makeSensibleTouched(f, "DOWN"); | |
| 4210 | - signal = "touch"; | |
| 4211 | - } | |
| 4212 | - if( signal === "touchedUp" ) { // fix as touched signal is really "mouseState"? | |
| 4213 | - f = _makeSensibleTouched(f, "UP"); | |
| 4214 | - signal = "touch"; | |
| 4215 | - } | |
| 4216 | - if( signal === "touchedMotion" ) { // fix as touched signal is really "mouseState"? | |
| 4217 | - f = _makeSensibleTouched(f, "MOTION"); | |
| 4218 | - signal = "touch"; | |
| 4219 | - } | |
| 4220 | - if( signal === "touchedLeave" ) { // fix as touched signal is really "mouseState"? | |
| 4221 | - f = _makeSensibleTouched(f, "LEAVE"); | |
| 4222 | - signal = "touch"; | |
| 4223 | - } | |
| 4224 | - if( signal === "touchedStationary" ) { // fix as touched signal is really "mouseState"? | |
| 4225 | - f = _makeSensibleTouched(f, "STATIONARY"); | |
| 4226 | - signal = "touch"; | |
| 4227 | - } | |
| 4228 | - if( signal === "touchedInterrupted" ) { // fix as touched signal is really "mouseState"? | |
| 4229 | - f = _makeSensibleTouched(f, "INTERRUPTED"); | |
| 4230 | - signal = "touch"; | |
| 4231 | - } | |
| 4232 | - | |
| 4233 | - for(ai = 0; ai < actors.length; ai++) { | |
| 4234 | - actor = root.findChildByName( actors[ai] ); | |
| 4235 | - actor.connect( signal, f ); | |
| 4236 | - } | |
| 4237 | - } | |
| 4238 | - | |
| 4239 | - if(condition) { | |
| 4240 | - // _connectToCondition( actors, condition, _makeCallback(arguments) ); | |
| 4241 | - root = dali.stage.getRootLayer(); | |
| 4242 | - f = _makeCallback(arguments); | |
| 4243 | - | |
| 4244 | - for(ai = 0; ai < actors.length; ai++) { | |
| 4245 | - actor = root.findChildByName( actors[ai] ); | |
| 4246 | - actor.setPropertyNotification(condition.property, | |
| 4247 | - condition.type, condition.arg0, condition.arg1, | |
| 4248 | - f); | |
| 4249 | - } | |
| 4250 | - } | |
| 4251 | - | |
| 4252 | -// when("myimage", condition("touch", "inside", 0, 100), | |
| 4253 | -// or | |
| 4254 | -// when("myimage", "touch", | |
| 4255 | -// *** | |
| 4256 | -// dali.ActorWrapper.prototype.connect = function(signalName, callback) { | |
| 4257 | -// if(d.action === "set") { | |
| 4258 | -// var animationActors = d.actors; | |
| 4259 | -// if( animationActors.length === 0 ) { | |
| 4260 | -// animationActors = actors; | |
| 4261 | -// } | |
| 4262 | -// var a = new dali.Animation(0); | |
| 4263 | -// // dali.AnimationWrapper.prototype.animateTo = function(object, propertyName, value, alphaFunction, delay, duration) { | |
| 4264 | -// //dali.AnimationWrapper.prototype.animateBy = function(object, propertyName, value, alphaFunction, delay, duration) { | |
| 4265 | -// //dali.AnimationWrapper.prototype.animatePath = function(object, pathObject, forward, alphaFunction, delay, duration) { | |
| 4266 | -// for(var ai =0; ai < animationActors.length; ai++) { | |
| 4267 | -// for(var animi =0; animi < d.animation; animi++) { | |
| 4268 | -// var animEntry = d.animation[animi]; | |
| 4269 | -// if( d.animate == "animatePath") { | |
| 4270 | -// a.animatePath(animationActors[ai], animEntry.path, animEntry.forward, animEntry.alpha, | |
| 4271 | -// animEntry.delay, animEntry.duration); | |
| 4272 | - | |
| 4273 | -// } else if( d.animate == "animateBetween") { | |
| 4274 | -// a.animateBetween(animationActors[ai], d.property, | |
| 4275 | -// animEntry.fromValue, animEntry.toValue, | |
| 4276 | -// animEntry.alpha, animEntry.delay, animEntry.duration); | |
| 4277 | -// } else { | |
| 4278 | -// // call animateTo,animateBy, | |
| 4279 | -// a[animEntry.animate](animationActors[ai], d.property, animEntry.value, animEntry.alpha, | |
| 4280 | -// animEntry.delay, animEntry.duration); | |
| 4281 | -// } | |
| 4282 | -// } | |
| 4283 | -// } | |
| 4284 | - | |
| 4285 | - // var animiations = []; | |
| 4286 | - | |
| 4287 | - // for(var i = 2; i < arguments.length; i++) { | |
| 4288 | - // var d = arguments[i]; | |
| 4289 | - // if( d.action === "set" ) { | |
| 4290 | - // // var ret = { action: "set", | |
| 4291 | - // // actors: [], | |
| 4292 | - // // property: null, | |
| 4293 | - // // condition: null, | |
| 4294 | - // // animation: [] | |
| 4295 | - // // }; | |
| 4296 | - // for(var ai = 0; ai < d.actors.length; ai++) { | |
| 4297 | - // d.actors[ai] | |
| 4298 | - // } | |
| 4299 | - // } | |
| 4300 | - | |
| 4301 | - // for(var j = 0; j < d.length; j++) { | |
| 4302 | - // if(signal) { // then its signal actions | |
| 4303 | - // d.name = signal; | |
| 4304 | - // templates[actorName].signals.push(d[j]); | |
| 4305 | - // } else { // its property notifications | |
| 4306 | - // d.condition = condition; | |
| 4307 | - // d.property = property; | |
| 4308 | - // templates[actorName].notifications.push(d[j]); | |
| 4309 | - | |
| 4310 | - // index = 2; | |
| 4311 | - | |
| 4312 | - // // but we could also be specifying a property notification so... | |
| 4313 | - // // | |
| 4314 | - // var condition; | |
| 4315 | - // var value; | |
| 4316 | - // if(typeof arguments[index] === "string") { | |
| 4317 | - // var lowerCase = arguments[index].toLowerCase(); | |
| 4318 | - // if("insideoutsidegreaterthanlessthan".indexOf(lowerCase)) { | |
| 4319 | - // property = signal; | |
| 4320 | - // signal = null; | |
| 4321 | - // condition = lowerCase; | |
| 4322 | - // index += 1; | |
| 4323 | - // value = arguments[index]; | |
| 4324 | - // index += 1; | |
| 4325 | - // if( condition === "inside" || condition === "outside" ) { | |
| 4326 | - // assert( value.length === 2, "Inside/Outside condition must specify min,max"); | |
| 4327 | - // assert(typeof value[0] === "number" && typeof value[1] === "number", "Conditions must be numbers"); | |
| 4328 | - // } | |
| 4329 | - // if(condition === "lessthan" || condition === "greaterthan") { | |
| 4330 | - // assert(value.length === 1, "LessThan/GreaterThan condition must specify one value"); | |
| 4331 | - // assert(typeof value === "number", "Conditions must be numbers"); | |
| 4332 | - // } | |
| 4333 | - // } | |
| 4334 | - // } | |
| 4335 | - | |
| 4336 | - // // The reset are objects created by the set or call function | |
| 4337 | - // var templates = _buildDescription.templates; | |
| 4338 | - | |
| 4339 | - // for( var actorName in actors ) { | |
| 4340 | - // // the other args come from functions that generate json | |
| 4341 | - // for(var i = index; i < arguments.length; i++) { | |
| 4342 | - // var d = arguments[i]; | |
| 4343 | - // for(var j = 0; j < d.length; j++) { | |
| 4344 | - // if(signal) { // then its signal actions | |
| 4345 | - // d.name = signal; | |
| 4346 | - // templates[actorName].signals.push(d[j]); | |
| 4347 | - // } else { // its property notifications | |
| 4348 | - // d.condition = condition; | |
| 4349 | - // d.property = property; | |
| 4350 | - // templates[actorName].notifications.push(d[j]); | |
| 4351 | - // } | |
| 4352 | - // } | |
| 4353 | - // } | |
| 4354 | - // } | |
| 4355 | - | |
| 4356 | -} // when() | |
| 4357 | - | |
| 4358 | - | |
| 4359 | -// function animation() { | |
| 4360 | -// "use strict"; | |
| 4361 | - | |
| 4362 | -// var name = arguments[0]; | |
| 4363 | -// var anim = {}; | |
| 4364 | -// for(var i = 1; i < arguments.length; i++) { | |
| 4365 | -// var d = arguments[i]; | |
| 4366 | - | |
| 4367 | -// if(d.length === undefined) { // then array from set | |
| 4368 | - | |
| 4369 | -// } else { | |
| 4370 | -// extend( anim, d ); | |
| 4371 | -// } | |
| 4372 | -// } | |
| 4373 | - | |
| 4374 | -// } | |
| 4375 | - | |
| 4376 | - | |
| 4377 | -// | |
| 4378 | -// pseudo dali DSL | |
| 4379 | -// | |
| 4380 | - | |
| 4381 | -// stage( | |
| 4382 | -// layer({ | |
| 4383 | -// width: 400, | |
| 4384 | -// tag: "scroll" | |
| 4385 | -// actors:[ | |
| 4386 | -// image({filename:"animage, | |
| 4387 | -// name: "myimage", | |
| 4388 | -// tag: "scrollitem", | |
| 4389 | -// width: 200, | |
| 4390 | -// height: 100}), | |
| 4391 | -// text({text:"sometext, | |
| 4392 | -// tag: "scrollitem", | |
| 4393 | -// width:10}) | |
| 4394 | -// ] | |
| 4395 | -// ) | |
| 4396 | -// ) | |
| 4397 | - | |
| 4398 | -// when("myimage", condition("touch", "inside", 0, 100), | |
| 4399 | -// or | |
| 4400 | -// when("myimage", "touch", | |
| 4401 | -// call(myfunction), | |
| 4402 | -// call(myfunction, arg1), | |
| 4403 | -// and("animation-ends"), | |
| 4404 | -// set("myimage", "size", to([10,10,10]), | |
| 4405 | -// to([10,10,10], 0,3, "ease_in")), | |
| 4406 | -// path(0,3, "ease_in", "path0")), | |
| 4407 | -// between([0,0,0], [10,10,10], 0,3, "ease_in")), | |
| 4408 | -// to([0,0,0], 0, 3) | |
| 4409 | -// set(tagged("scrollitem), path(0,3, "ease_in", "path0")), | |
| 4410 | -// set(excludeFrom(tagged("scrollitem"), "myimage"), path(0,3, "ease_in", "path0")), | |
| 4411 | -// then("myimage", "hide"), | |
| 4412 | -// then("quit"), | |
| 4413 | -// then("play", "myanim"), | |
| 4414 | -// thenOnChild("myimage", "child", "hide"), | |
| 4415 | -// animate("name"), | |
| 4416 | -// ) | |
| 4417 | - | |
| 4418 | -// constraints? | |
| 4419 | -// on("myimage", "position", between(0, 100), | |
| 4420 | - | |
| 4421 | - | |
| 4422 | - | |
| 4423 | -//------------------------------------------------------------------------------ | |
| 4424 | -// test helper functions | |
| 4425 | -//------------------------------------------------------------------------------ | |
| 4426 | - | |
| 4427 | -function clear() { | |
| 4428 | - var root = dali.stage.rootRotationActor; | |
| 4429 | - var children = root.getChildren(); | |
| 4430 | - | |
| 4431 | - for (var i = 0, len = children.length; i < len; i++) { | |
| 4432 | - root.remove(children[i]); | |
| 4433 | - children[i].delete(); // delete the wrapper | |
| 4434 | - } | |
| 4435 | - // root.delete(); // wrapper | |
| 4436 | -} | |
| 4437 | - | |
| 4438 | -function square(color, size) { | |
| 4439 | - var a = dali.createSolidColorActor(color, 0, [0, 0, 0, 1], 0); | |
| 4440 | - a.size = size; | |
| 4441 | - return a; | |
| 4442 | -} | |
| 4443 | - | |
| 4444 | -function threeSquares() { | |
| 4445 | - var root = dali.stage.rootRotationActor; | |
| 4446 | - | |
| 4447 | - var a = square([1, 0, 0, 1], [200, 200, 0]); | |
| 4448 | - a.name = "red"; | |
| 4449 | - a.position = [-100, 0, -20]; | |
| 4450 | - root.add(a); | |
| 4451 | - a.delete(); | |
| 4452 | - | |
| 4453 | - a = square([0, 1, 0, 1], [200, 200, 0]); | |
| 4454 | - a.name = "green"; | |
| 4455 | - a.position = [0, -100, -10]; | |
| 4456 | - root.add(a); | |
| 4457 | - a.delete(); | |
| 4458 | - | |
| 4459 | - a = square([0, 0, 1, 1], [200, 200, 0]); | |
| 4460 | - a.name = "blue"; | |
| 4461 | - a.position = [0, -100, 0]; | |
| 4462 | - root.add(a); | |
| 4463 | - a.delete(); | |
| 4464 | - | |
| 4465 | - // root.delete(); | |
| 4466 | -} | |
| 4467 | - | |
| 4468 | -function threeSquares2() { | |
| 4469 | - var root = dali.stage.rootRotationActor; | |
| 4470 | - | |
| 4471 | - var red = square([1, 0, 0, 1], [200, 200, 0]); | |
| 4472 | - red.name = "red"; | |
| 4473 | - red.position = [-100, 0, 20]; | |
| 4474 | - red.size = [10, 10, 0]; | |
| 4475 | - root.add(red); | |
| 4476 | - | |
| 4477 | - var green = square([0, 1, 0, 1], [200, 200, 0]); | |
| 4478 | - green.name = "green"; | |
| 4479 | - green.position = [0, -100, 0]; | |
| 4480 | - green.orientation = [0, 0, 20]; | |
| 4481 | - green.size = [200, 200, 0]; | |
| 4482 | - | |
| 4483 | - var blue = square([0, 0, 1, 1], [200, 200, 0]); | |
| 4484 | - blue.name = "blue"; | |
| 4485 | - blue.position = [0, 0, 10]; | |
| 4486 | - blue.parentOrigin = [0, 0, 0]; | |
| 4487 | - blue.size = [100, 100, 0]; | |
| 4488 | - green.add(blue); | |
| 4489 | - root.add(green); | |
| 4490 | - | |
| 4491 | - red.delete(); // wrapper | |
| 4492 | - green.delete(); // wrapper | |
| 4493 | - blue.delete(); // wrapper | |
| 4494 | - | |
| 4495 | - // root.delete(); | |
| 4496 | -} | |
| 4497 | - | |
| 4498 | -function collectByName(collection) { | |
| 4499 | - var root = dali.stage.rootRotationActor; | |
| 4500 | - if (collection === undefined) { | |
| 4501 | - collection = {}; | |
| 4502 | - } | |
| 4503 | - var op = function(actor) { | |
| 4504 | - if (actor.name) { | |
| 4505 | - collection[actor.name] = actor; | |
| 4506 | - } | |
| 4507 | - return true; | |
| 4508 | - }; | |
| 4509 | - | |
| 4510 | - dali.debug.depthVisit(root, op, true); | |
| 4511 | - | |
| 4512 | - return collection; | |
| 4513 | -} | |
| 4514 | - | |
| 4515 | - | |
| 4516 | -function first() { | |
| 4517 | - return dali.stage.getRenderTaskList().getTask(0); | |
| 4518 | -} | |
| 4519 | - | |
| 4520 | -function second() { | |
| 4521 | - return dali.stage.getRenderTaskList().getTask(1); | |
| 4522 | -} | |
| 4523 | - | |
| 4524 | -function third() { | |
| 4525 | - return dali.stage.getRenderTaskList().getTask(2); | |
| 4526 | -} | |
| 4527 | - | |
| 4528 | -function firstCamera() { | |
| 4529 | - return dali.stage.getRenderTaskList().getTask(0).getCameraActor(); | |
| 4530 | -} | |
| 4531 | - | |
| 4532 | -function secondCamera() { | |
| 4533 | - return dali.stage.getRenderTaskList().getTask(1).getCameraActor(); | |
| 4534 | -} | |
| 4535 | - | |
| 4536 | -function thirdCamera() { | |
| 4537 | - return dali.stage.getRenderTaskList().getTask(2).getCameraActor(); | |
| 4538 | -} | |
| 4539 | - | |
| 4540 | -function resize(w, h) { | |
| 4541 | - dali.setCanvasSize(w, h); | |
| 4542 | -} | |
| 4543 | - | |
| 4544 | -function compareProperties(a1, a2) { | |
| 4545 | - var props1 = a1.getProperties(); | |
| 4546 | - var props2 = a2.getProperties(); | |
| 4547 | - var props = new Set(); | |
| 4548 | - for (var i = 0, len = props1.size(); i < len; i++) { | |
| 4549 | - props.add(props1.get(i)); | |
| 4550 | - } | |
| 4551 | - | |
| 4552 | - for (i = 0, len = props2.size(); i < len; i++) { | |
| 4553 | - var n = props2.get(i); | |
| 4554 | - if (!props.has(n)) { | |
| 4555 | - console.log("A1 missing :" + n); | |
| 4556 | - } | |
| 4557 | - } | |
| 4558 | - | |
| 4559 | - var doit = function(item) { | |
| 4560 | - var v1 = a1[item]; // a1.getProperty(item); | |
| 4561 | - var v2 = a2[item]; // a2.getProperty(item); | |
| 4562 | - | |
| 4563 | - var isSame; | |
| 4564 | - | |
| 4565 | - if (Array.isArray(v1)) { | |
| 4566 | - isSame = (v1.length === v2.length) && v1.every(function(element, index) { | |
| 4567 | - return element === v2[index]; | |
| 4568 | - }); | |
| 4569 | - } else { | |
| 4570 | - isSame = v1 === v2; | |
| 4571 | - } | |
| 4572 | - | |
| 4573 | - if (!isSame) { | |
| 4574 | - console.log(item + ": A1= " + v1 + " A2= " + v2); | |
| 4575 | - } | |
| 4576 | - }; | |
| 4577 | - | |
| 4578 | - props.forEach(doit); | |
| 4579 | -} | |
| 4580 | - | |
| 4581 | -var EPSILON = 0.005; | |
| 4582 | - | |
| 4583 | -function compareArrays(a, b) { | |
| 4584 | - "use strict"; | |
| 4585 | - if (Array.isArray(a) && Array.isArray(b)) { | |
| 4586 | - if (a.length === b.length) { | |
| 4587 | - for (var i = 0, len = a.length; i < len; i++) { | |
| 4588 | - if (Array.isArray(a[i])) { | |
| 4589 | - if (Array.isArray(b[i])) { | |
| 4590 | - if (!compareArrays(a[i], b[i])) { | |
| 4591 | - return false; | |
| 4592 | - } | |
| 4593 | - } else { | |
| 4594 | - return false; | |
| 4595 | - } | |
| 4596 | - } else { | |
| 4597 | - if (typeof (a[i]) === "number") { | |
| 4598 | - if (typeof (b[i]) !== "number") { | |
| 4599 | - return false; | |
| 4600 | - } else { | |
| 4601 | - if (Math.abs(a[i]) > Math.abs(b[i]) + EPSILON || | |
| 4602 | - Math.abs(a[i]) < Math.abs(b[i]) - EPSILON) { | |
| 4603 | - return false; | |
| 4604 | - } | |
| 4605 | - } | |
| 4606 | - } else { | |
| 4607 | - if (a[i] !== b[i]) { | |
| 4608 | - return false; | |
| 4609 | - } | |
| 4610 | - } | |
| 4611 | - } | |
| 4612 | - } | |
| 4613 | - return true; | |
| 4614 | - } | |
| 4615 | - } | |
| 4616 | - return false; | |
| 4617 | -} | |
| 4618 | - | |
| 4619 | -function countAllProperties() { | |
| 4620 | - var count = 0; | |
| 4621 | - var tr = new dali.TypeRegistry(); | |
| 4622 | - var names = tr.getTypeNames(); | |
| 4623 | - for (var i = 0, len = names.size(); i < len; i++) { | |
| 4624 | - var ti = tr.getTypeInfo(names.get(i)); | |
| 4625 | - var props = ti.getProperties(); | |
| 4626 | - count += props.size(); | |
| 4627 | - } | |
| 4628 | - return count; | |
| 4629 | -} | |
| 4630 | - | |
| 4631 | -function native2ascii(str) { | |
| 4632 | - "use strict"; | |
| 4633 | - // really this function allows only GLSL permittable chars | |
| 4634 | - var out = ""; | |
| 4635 | - for (var i = 0; i < str.length; i++) { | |
| 4636 | - if ( 0x20 <= str.charCodeAt(i) && str.charCodeAt(i) <= 0x7E) { | |
| 4637 | - // normal characters | |
| 4638 | - out += str.charAt(i); | |
| 4639 | - } else if( 0x9 <= str.charCodeAt(i) && str.charCodeAt(i) <= 0xD) { | |
| 4640 | - // new lines and tabs | |
| 4641 | - out += str.charAt(i); | |
| 4642 | - } | |
| 4643 | - } | |
| 4644 | - return out; | |
| 4645 | -} | |
| 4646 | - | |
| 4647 | - | |
| 4648 | -var getGL = function() { | |
| 4649 | - return canvas.getContext("webgl"); | |
| 4650 | -}; | |
| 4651 | - | |
| 4652 | -var getAnimation = function() { | |
| 4653 | - "use strict"; | |
| 4654 | - return animationList[animationSelectionIndex].animation; | |
| 4655 | -}; | |
| 4656 | - | |
| 4657 | -var getActor = function() { | |
| 4658 | - "use strict"; | |
| 4659 | - return eventHandler.touchedActor; | |
| 4660 | -}; | |
| 4661 | - | |
| 4662 | - | |
| 4663 | -//------------------------------------------------------------------------------ | |
| 4664 | -// Unit test class | |
| 4665 | -//------------------------------------------------------------------------------ | |
| 4666 | -function Test() { | |
| 4667 | - "use strict"; | |
| 4668 | -} | |
| 4669 | - | |
| 4670 | -Test.prototype.hierarchy = function() { | |
| 4671 | - "use strict"; | |
| 4672 | - console.log("test_hierarchy..."); | |
| 4673 | - | |
| 4674 | - // function onTouched(actor) { | |
| 4675 | - // // console.log("touched " + actor.$$.ptr + " " + actor.position); | |
| 4676 | - // eventHandler.onTouched(actor); | |
| 4677 | - // } | |
| 4678 | - | |
| 4679 | - var actor = new dali.Actor(); | |
| 4680 | - actor.parentOrigin = [0.5, 0.5, 0.5]; | |
| 4681 | - actor.anchorPoint = [0.5, 0.5, 0.5]; | |
| 4682 | - actor.text = "actor"; | |
| 4683 | - actor.name = actor.text; | |
| 4684 | - actor.size = [100, 100, 1]; | |
| 4685 | - actor.position = [0, 0, 10]; | |
| 4686 | - dali.stage.add(actor); | |
| 4687 | - | |
| 4688 | - var hello = new dali.Actor(); | |
| 4689 | - // hello.connect("touch", onTouched); | |
| 4690 | - hello.text = "hello"; | |
| 4691 | - hello.name = hello.text; | |
| 4692 | - actor.add(hello); | |
| 4693 | - | |
| 4694 | - var hellochild = new dali.Actor(); | |
| 4695 | - // hellochild.connect("touch", onTouched); | |
| 4696 | - hellochild.text = "hello-child"; | |
| 4697 | - hellochild.name = hellochild.text; | |
| 4698 | - hello.add(hellochild); | |
| 4699 | - | |
| 4700 | - var hellochild2 = new dali.Actor(); | |
| 4701 | - // hellochild2.connect("touch", onTouched); | |
| 4702 | - hellochild2.text = "hello-child2"; | |
| 4703 | - hellochild2.name = hellochild2.text; | |
| 4704 | - hello.add(hellochild2); | |
| 4705 | - | |
| 4706 | - var hellochildchild = new dali.Actor(); | |
| 4707 | - // hellochildchild.connect("touch", onTouched); | |
| 4708 | - hellochildchild.text = "hello-child-child1"; | |
| 4709 | - hellochildchild.name = "hello-child-child1"; | |
| 4710 | - hellochildchild.name = hellochildchild.text; | |
| 4711 | - hellochild.add(hellochildchild); | |
| 4712 | - | |
| 4713 | - | |
| 4714 | - var depthfirst = actor.findAllChildren(); | |
| 4715 | - | |
| 4716 | - assert(actor.getChildCount() === 1); | |
| 4717 | - // assert(actor.getChildAt(0).text === "hello"); | |
| 4718 | - // assert(actor.findChildByName("hello-child-child1").text = "hello-child-child1"); | |
| 4719 | - // assert(hello.getParent().text === "actor"); | |
| 4720 | - // assert(depthfirst[depthfirst.length - 1].text === "hello-child2"); | |
| 4721 | - | |
| 4722 | - var directChildren = actor.directChildren(); | |
| 4723 | - | |
| 4724 | - assert(directChildren.length === 1); | |
| 4725 | - assert(directChildren[0].getId() === hello.getId()); | |
| 4726 | - | |
| 4727 | - actor.position = [100, 100, 0]; | |
| 4728 | - | |
| 4729 | - var root = dali.stage.rootRotationActor; | |
| 4730 | - | |
| 4731 | - actor.remove(hello); | |
| 4732 | - assert(actor.getChildCount() === 0); | |
| 4733 | - | |
| 4734 | - actor.add(hello); | |
| 4735 | - assert(actor.getChildCount() === 1); | |
| 4736 | - | |
| 4737 | - var rootLayerCount = root.getChildCount(); | |
| 4738 | - dali.stage.remove(actor); // check these don't assert | |
| 4739 | - assert(root.getChildCount() === rootLayerCount - 1); | |
| 4740 | - | |
| 4741 | - dali.stage.add(actor); | |
| 4742 | - assert(root.getChildCount() === rootLayerCount); | |
| 4743 | - | |
| 4744 | - assert(root.findChildByName("none") === null); | |
| 4745 | - | |
| 4746 | - // actor.connect("touch", onTouched); | |
| 4747 | - | |
| 4748 | - // var inserted = new dali.TextActor(); // TextActor no more RIP | |
| 4749 | - // inserted.parentOrigin = [0.5, 0.5, 0.5]; | |
| 4750 | - // inserted.anchorPoint = [0.5, 0.5, 0.5]; | |
| 4751 | - // inserted.text = "inserted"; | |
| 4752 | - // inserted.name = inserted.text; | |
| 4753 | - // inserted.size = [100, 100, 1]; | |
| 4754 | - // inserted.position = [0, 0, 50]; | |
| 4755 | - // actor.insert(1, inserted); | |
| 4756 | - // assert(actor.getChildAt(1).text === "inserted"); | |
| 4757 | - | |
| 4758 | - clear(); | |
| 4759 | - console.log(" -> ok test_hierarchy"); | |
| 4760 | -}; | |
| 4761 | - | |
| 4762 | -Test.prototype.registerProperty = function() { | |
| 4763 | - "use strict"; | |
| 4764 | - console.log("test_registerPropery..."); | |
| 4765 | - var s = dali.stage; | |
| 4766 | - var root = s.rootRotationActor; | |
| 4767 | - | |
| 4768 | - var another = new dali.Actor(); | |
| 4769 | - another.parentOrigin = [0.5, 0.5, 0.5]; | |
| 4770 | - another.anchorPoint = [0.5, 0.5, 0.5]; | |
| 4771 | - another.text = "peppa"; | |
| 4772 | - another.name = another.text; | |
| 4773 | - another.size = [100, 100, 1]; | |
| 4774 | - another.position = [-50, 100, 0]; | |
| 4775 | - root.add(another); | |
| 4776 | - | |
| 4777 | - var c = root.getChildAt(root.getChildCount() - 1); | |
| 4778 | - //var n = c.getChildCount(); | |
| 4779 | - var p = c.getParent(); | |
| 4780 | - assert(p.getId() == root.getId()); | |
| 4781 | - | |
| 4782 | - var matrix = c.worldMatrix; | |
| 4783 | - | |
| 4784 | - assert(matrix.length === 16); | |
| 4785 | - | |
| 4786 | - // todo - no longer supported (?) | |
| 4787 | - // another.registerProperty("data_output", true); | |
| 4788 | - // assert(another.getPropertyTypeFromName("data_output") === "BOOLEAN"); | |
| 4789 | - // assert(another.data_output === true); | |
| 4790 | - // another.data_output = false; | |
| 4791 | - // assert(another.data_output === false); | |
| 4792 | - // dali.__updateOnce(); | |
| 4793 | - // another.data_output = 2.5; | |
| 4794 | - // assert(another.data_output === 2.5); | |
| 4795 | - // assert(another.getPropertyTypeFromName("data_output") === "FLOAT"); | |
| 4796 | - | |
| 4797 | - clear(); | |
| 4798 | - console.log(" -> ok test_registerPropery"); | |
| 4799 | -}; | |
| 4800 | - | |
| 4801 | -Test.prototype.js_math = function() { | |
| 4802 | - console.log("test_js_math..."); | |
| 4803 | - assert(dali.vectorLength([1, 2, 3, 4]) === Math.sqrt(1 * 1 + 2 * 2 + 3 * 3)); | |
| 4804 | - assert(dali.vectorLengthSquared(dali.normalize([0, 0, 0, 1])) === 0); | |
| 4805 | - | |
| 4806 | - // for(var f=0; f < 6; f+=1) | |
| 4807 | - // { | |
| 4808 | - var f = 2; | |
| 4809 | - assert(1 === dali.vectorLengthSquared(dali.normalize([Math.cos(f) * 10.0, | |
| 4810 | - Math.cos(f + 1.0) * 10.0, | |
| 4811 | - Math.cos(f + 2.0) * 10.0, | |
| 4812 | - 1.0 | |
| 4813 | - ]))); | |
| 4814 | - | |
| 4815 | - function assertArray(a, b, epsilon) { | |
| 4816 | - assert(a.length === b.length); | |
| 4817 | - for (var i = 0, len = a.length; i < len; ++i) { | |
| 4818 | - assert(a[i] > b[i] - epsilon && a[i] < b[i] + epsilon); | |
| 4819 | - } | |
| 4820 | - } | |
| 4821 | - | |
| 4822 | - assertArray(dali.axisAngleToQuaternion([1.0, 2.0, 3.0, Math.PI / 3.0, Math.PI / 2.0]), [0.189, 0.378, 0.567, 0.707], 0.001); | |
| 4823 | - | |
| 4824 | - assertArray(dali.quaternionToAxisAngle([1.1, 3.4, 2.7, 0.932]), [3.03, 9.38, 7.45, 0.74], | |
| 4825 | - 0.01); | |
| 4826 | - | |
| 4827 | - assertArray(dali.vectorCross([0, 1, 0], [0, 0, 1]), [1, 0, 0], 0.001); | |
| 4828 | - | |
| 4829 | - assertArray(dali.vectorAdd([1, 2, 3], [2, 3, 4], [1, 1, 1]), [4, 6, 8], 0.001); | |
| 4830 | - | |
| 4831 | - var mq = dali.vectorAdd(dali.vectorCross([0.045, 0.443, 0.432], [0.612, 0.344, -0.144]), | |
| 4832 | - dali.vectorByScalar([0.612, 0.344, -0.144], 0.784), | |
| 4833 | - dali.vectorByScalar([0.045, 0.443, 0.432], 0.697)); | |
| 4834 | - | |
| 4835 | - assertArray(dali.quatByQuat([0.045, 0.443, 0.432, 0.784], [0.612, 0.344, -0.144, 0.697]), [mq[0], mq[1], mq[2], (0.784 * 0.697) - dali.vectorDot([0.045, 0.443, 0.432], [0.612, 0.344, -0.144])], | |
| 4836 | - 0.001); | |
| 4837 | - | |
| 4838 | - clear(); | |
| 4839 | - console.log(" -> ok test_js_math"); | |
| 4840 | -}; | |
| 4841 | - | |
| 4842 | -Test.prototype.getset = function() { | |
| 4843 | - "use strict"; | |
| 4844 | - console.log("test_getset..."); | |
| 4845 | - threeSquares(); | |
| 4846 | - var col = {}; | |
| 4847 | - collectByName(col); | |
| 4848 | - var actor = col.red; | |
| 4849 | - var p = actor.position; | |
| 4850 | - actor.position = [1, 1, 1]; | |
| 4851 | - assert(compareArrays(actor.position, [1, 1, 1])); | |
| 4852 | - actor.position = [3, 3, 3]; | |
| 4853 | - assert(compareArrays(actor.position, [3, 3, 3])); | |
| 4854 | - actor.position = p; | |
| 4855 | - | |
| 4856 | - clear(); | |
| 4857 | - console.log(" -> ok test_getset"); | |
| 4858 | -}; | |
| 4859 | - | |
| 4860 | -Test.prototype.animation_spline = function() { | |
| 4861 | - "use strict"; | |
| 4862 | - console.log("test_animation_spline..."); | |
| 4863 | - threeSquares(); | |
| 4864 | - var col = {}; | |
| 4865 | - collectByName(col); | |
| 4866 | - var actor = col.red; | |
| 4867 | - | |
| 4868 | - var a = new dali.Animation(0); | |
| 4869 | - var path = new dali.Path(); | |
| 4870 | - | |
| 4871 | - path.points = [ | |
| 4872 | - [-150, -50, 0], | |
| 4873 | - [0.0, 70.0, 0.0], | |
| 4874 | - [190.0, -150.0, 0.0] | |
| 4875 | - ]; | |
| 4876 | - | |
| 4877 | - assert(compareArrays(path.points, [ | |
| 4878 | - [-150, -50, 0], | |
| 4879 | - [0.0, 70.0, 0.0], | |
| 4880 | - [190.0, -150.0, 0.0] | |
| 4881 | - ])); | |
| 4882 | - | |
| 4883 | - dali.generateControlPoints(path, 0.35); | |
| 4884 | - | |
| 4885 | - assert(compareArrays(path.controlPoints, [ | |
| 4886 | - [-97.5, -8, 0], | |
| 4887 | - [-66.94940948486328, 76.16658020019531, 0], | |
| 4888 | - [101.31224060058594, 60.66832733154297, 0], | |
| 4889 | - [123.5, -73, 0] | |
| 4890 | - ])); | |
| 4891 | - | |
| 4892 | - a.setDuration(3); | |
| 4893 | - a.animatePath(actor, path, [1, 0, 0], dali.AlphaFunction.LINEAR, 0, 3); | |
| 4894 | - a.play(); | |
| 4895 | - | |
| 4896 | - function checkPos() { | |
| 4897 | - assert(actor.position = path.points[2]); | |
| 4898 | - clear(); | |
| 4899 | - actor.delete(); | |
| 4900 | - path.delete(); | |
| 4901 | - a.delete(); | |
| 4902 | - console.log(" -> ok test_animation_spline"); | |
| 4903 | - } | |
| 4904 | - | |
| 4905 | - window.setTimeout(checkPos, 4000); | |
| 4906 | -}; | |
| 4907 | - | |
| 4908 | -Test.prototype.animation = function() { | |
| 4909 | - "use strict"; | |
| 4910 | - console.log("test_animation..."); | |
| 4911 | - threeSquares(); | |
| 4912 | - var col = {}; | |
| 4913 | - collectByName(col); | |
| 4914 | - var actor = col.red; | |
| 4915 | - | |
| 4916 | - var a = new dali.Animation(0); | |
| 4917 | - a.setDuration(3); | |
| 4918 | - a.animateTo(actor, "position", [20, 0, 0], dali.AlphaFunction.LINEAR, 0, 3); | |
| 4919 | - a.play(); | |
| 4920 | - | |
| 4921 | - function checkAnimateBetween() { | |
| 4922 | - assert(actor.position = [0, 0, -30]); | |
| 4923 | - clear(); | |
| 4924 | - a.delete(); | |
| 4925 | - actor.delete(); | |
| 4926 | - | |
| 4927 | - console.log(" -> ok test_animation"); | |
| 4928 | - } | |
| 4929 | - | |
| 4930 | - function checkAnimateBy() { | |
| 4931 | - assert(actor.position = [120, 100, 0]); | |
| 4932 | - | |
| 4933 | - a.clear(); | |
| 4934 | - a.animateBetween(actor, | |
| 4935 | - "position", [ [ 0, [10,20,30] ], | |
| 4936 | - [ 1.0,[0, 0, -30] ] ], | |
| 4937 | - "linear", | |
| 4938 | - 0, | |
| 4939 | - 3, | |
| 4940 | - "linear"); | |
| 4941 | - a.play(); | |
| 4942 | - window.setTimeout(checkAnimateBetween, 4000); | |
| 4943 | - } | |
| 4944 | - | |
| 4945 | - function checkAnimateTo() { | |
| 4946 | - assert(actor.position = [20, 0, 0]); | |
| 4947 | - actor.position = [100, 100, 0]; | |
| 4948 | - | |
| 4949 | - a.clear(); // var a = new dali.Animation(0); | |
| 4950 | - a.setDuration(3); | |
| 4951 | - a.animateBy(actor, "position", [20, 0, 0], dali.AlphaFunction.LINEAR, 0, 3); | |
| 4952 | - a.play(); | |
| 4953 | - | |
| 4954 | - window.setTimeout(checkAnimateBy, 4000); | |
| 4955 | - } | |
| 4956 | - | |
| 4957 | - window.setTimeout(checkAnimateTo, 4000); | |
| 4958 | -}; | |
| 4959 | - | |
| 4960 | -Test.prototype.onePane = function() { | |
| 4961 | - var w = dali.canvas.width; | |
| 4962 | - var h = dali.canvas.height; | |
| 4963 | - var col = dali.getClearColor(0); | |
| 4964 | - dali.onePane(); | |
| 4965 | - dali.setFrontView(0, 0, 0, w, h); | |
| 4966 | - dali.setClearColor(0, col); | |
| 4967 | -}; | |
| 4968 | - | |
| 4969 | -Test.prototype.threePane = function() { | |
| 4970 | - var w = dali.canvas.width; | |
| 4971 | - var h = dali.canvas.height; | |
| 4972 | - dali.threePane(); | |
| 4973 | - dali.setClearColor(0, [0.4, 0, 0, 1]); | |
| 4974 | - dali.setClearColor(1, [0, 0.4, 0, 1]); | |
| 4975 | - dali.setClearColor(2, [0, 0, 0.4, 1]); | |
| 4976 | - dali.setFrontView(0, 0, 0, w / 2 - 5, h); | |
| 4977 | - dali.setTopView(1, w / 2, 0, w / 2, h / 2 - 5); | |
| 4978 | - dali.setRightView(2, w / 2, h / 2 + 5, w / 2, h / 2 - 5); | |
| 4979 | -}; | |
| 4980 | - | |
| 4981 | -Test.prototype.twoPane = function() { | |
| 4982 | - var w = dali.canvas.width; | |
| 4983 | - var h = dali.canvas.height; | |
| 4984 | - dali.twoPane(); | |
| 4985 | - dali.setFrontView(0, 0, 0, w / 2 - 10, h); | |
| 4986 | - dali.setTopView(1, 210, 0, w / 2 - 10, h); | |
| 4987 | - dali.setClearColor(0, [0.4, 0, 0, 1]); | |
| 4988 | - dali.setClearColor(1, [0, 0.4, 0, 1]); | |
| 4989 | -}; | |
| 4990 | - | |
| 4991 | -Test.prototype.views = function() { | |
| 4992 | - "use strict"; | |
| 4993 | - console.log("test_views"); | |
| 4994 | - | |
| 4995 | - var w = dali.canvas.width; | |
| 4996 | - var h = dali.canvas.height; | |
| 4997 | - var col = dali.getClearColor(0); | |
| 4998 | - console.log(col); | |
| 4999 | - | |
| 5000 | - function one() { | |
| 5001 | - dali.onePane(); | |
| 5002 | - dali.setFrontView(0, 0, 0, w, h); | |
| 5003 | - dali.setClearColor(0, col); | |
| 5004 | - } | |
| 5005 | - | |
| 5006 | - function three() { | |
| 5007 | - dali.threePane(); | |
| 5008 | - dali.setClearColor(0, [0.4, 0, 0, 1]); | |
| 5009 | - dali.setClearColor(1, [0, 0.4, 0, 1]); | |
| 5010 | - dali.setClearColor(2, [0, 0, 0.4, 1]); | |
| 5011 | - dali.setFrontView(0, 0, 0, w / 2 - 5, h); | |
| 5012 | - dali.setTopView(1, w / 2, 0, w / 2, h / 2 - 5); | |
| 5013 | - dali.setRightView(2, w / 2, h / 2 + 5, w / 2, h / 2 - 5); | |
| 5014 | - | |
| 5015 | - window.setTimeout(one, 1000); | |
| 5016 | - } | |
| 5017 | - | |
| 5018 | - function two() { | |
| 5019 | - dali.twoPane(); | |
| 5020 | - dali.setFrontView(0, 0, 0, w / 2 - 10, h); | |
| 5021 | - dali.setTopView(1, 210, 0, w / 2 - 10, h); | |
| 5022 | - dali.setClearColor(0, [0.4, 0, 0, 1]); | |
| 5023 | - dali.setClearColor(1, [0, 0.4, 0, 1]); | |
| 5024 | - | |
| 5025 | - window.setTimeout(three, 1000); | |
| 5026 | - } | |
| 5027 | - | |
| 5028 | - one(); | |
| 5029 | - | |
| 5030 | - window.setTimeout(two, 1000); | |
| 5031 | -}; | |
| 5032 | - | |
| 5033 | -Test.prototype.blinking = function() { | |
| 5034 | - "use strict"; | |
| 5035 | - var layer = new dali.Layer(); | |
| 5036 | - layer.name = "frameLayer"; | |
| 5037 | - dali.stage.add(layer); | |
| 5038 | - | |
| 5039 | - var a = dali.createSolidColorActor([0.5, 0.5, 0.5, 1], | |
| 5040 | - false, [0, 0, 0, 1], | |
| 5041 | - 0); | |
| 5042 | - a.size = [100,100,1]; | |
| 5043 | - | |
| 5044 | - layer.add(a); | |
| 5045 | - | |
| 5046 | - var camera = firstCamera(); | |
| 5047 | - | |
| 5048 | - camera.position = [ camera.position[0]+10, camera.position[1]+20, camera.position[2] + 10 ]; | |
| 5049 | - | |
| 5050 | - layer.delete(); // wrapper | |
| 5051 | - a.delete(); // wrapper | |
| 5052 | - camera.delete(); // wrapper | |
| 5053 | -}; | |
| 5054 | - | |
| 5055 | -Test.prototype.uniformMetaData = function() { | |
| 5056 | - for(var i = 0; i < shaderSources.length; i++) { | |
| 5057 | - console.log(dali.uniformMetaData(shaderSources[i].vertex, shaderSources[i].fragment)); | |
| 5058 | - } | |
| 5059 | -}; | |
| 5060 | - | |
| 5061 | -Test.prototype.signals = function() { | |
| 5062 | - "use strict"; | |
| 5063 | - console.log("test_signals..."); | |
| 5064 | - | |
| 5065 | - function onStage() { | |
| 5066 | - console.log(" -> ok test signals"); | |
| 5067 | - //eventHandler.onTouched(actor); | |
| 5068 | - } | |
| 5069 | - | |
| 5070 | - var actor = new dali.Actor(); | |
| 5071 | - actor.parentOrigin = [0.5, 0.5, 0.5]; | |
| 5072 | - actor.anchorPoint = [0.5, 0.5, 0.5]; | |
| 5073 | - actor.text = "actor"; | |
| 5074 | - actor.name = actor.text; | |
| 5075 | - actor.size = [100, 100, 1]; | |
| 5076 | - actor.position = [0, 0, 10]; | |
| 5077 | - | |
| 5078 | - actor.connect("on-stage", onStage); | |
| 5079 | - | |
| 5080 | - dali.stage.add(actor); | |
| 5081 | -}; | |
| 5082 | - | |
| 5083 | -Test.prototype.shaderInfo = function() { | |
| 5084 | - "use strict"; | |
| 5085 | - var info = new dali.ShaderInfo(); | |
| 5086 | - | |
| 5087 | - var vertex; | |
| 5088 | - var fragment; | |
| 5089 | - | |
| 5090 | - vertex = "\n" + | |
| 5091 | - "attribute mediump vec3 aPosition;\n" + | |
| 5092 | - "attribute mediump vec2 aTexCoord;\n" + | |
| 5093 | - "varying mediump vec2 vTexCoord;\n" + | |
| 5094 | - "uniform mediump vec3 uSize;\n" + | |
| 5095 | - "// uniform mediump vec3 unusedUniform;\n" + | |
| 5096 | - "uniform mediump mat4 uModelView;\n" + | |
| 5097 | - "uniform mediump mat4 uProjection;\n" + | |
| 5098 | - "\n" + | |
| 5099 | - "void main(void)\n" + | |
| 5100 | - "{\n" + | |
| 5101 | - " gl_Position = uProjection * uModelView * vec4(aPosition, 1.0);\n" + | |
| 5102 | - " gl_Position.xyz *= uSize;\n" + | |
| 5103 | - " vTexCoord = aTexCoord;\n" + | |
| 5104 | - "}\n"; | |
| 5105 | - | |
| 5106 | - fragment = "precision mediump float;\n" + | |
| 5107 | - "\n" + | |
| 5108 | - "uniform sampler2D sTexture;\n" + | |
| 5109 | - "uniform mediump vec4 uMyColor; // {min:[0,0,0,0], max:[1,1,1,1]}\n" + | |
| 5110 | - "uniform mediump vec4 uColor;\n" + | |
| 5111 | - "varying mediump vec2 vTexCoord;\n" + | |
| 5112 | - "\n" + | |
| 5113 | - "void main()\n" + | |
| 5114 | - "{\n" + | |
| 5115 | - " gl_FragColor = texture2D( sTexture, vTexCoord ) * uColor * uMyColor;\n" + | |
| 5116 | - "}\n"; | |
| 5117 | - | |
| 5118 | - var canvas = document.createElement("canvas"); | |
| 5119 | - var meta = info.fromCompilation(canvas.getContext("webgl"), vertex, fragment); | |
| 5120 | - | |
| 5121 | - var uniforms = { uSize: 1, | |
| 5122 | - uModelView: 1, | |
| 5123 | - uProjection: 1, | |
| 5124 | - uMyColor: 1, | |
| 5125 | - uColor: 1 | |
| 5126 | - }; | |
| 5127 | - | |
| 5128 | - assert(meta.hasError === false); | |
| 5129 | - var name; | |
| 5130 | - var metaUniformName; | |
| 5131 | - var found; | |
| 5132 | - | |
| 5133 | - for(name in uniforms) { | |
| 5134 | - found = false; | |
| 5135 | - for(metaUniformName in meta.uniforms) { | |
| 5136 | - if(metaUniformName === name) { | |
| 5137 | - found = true; | |
| 5138 | - break; | |
| 5139 | - } | |
| 5140 | - } | |
| 5141 | - assert(found, "missing:" + name); | |
| 5142 | - } | |
| 5143 | - | |
| 5144 | - assert(compareArrays(meta.uniformUISpec.uMyColor.min, [0, 0, 0, 0])); | |
| 5145 | - assert(compareArrays(meta.uniformUISpec.uMyColor.max, [1, 1, 1, 1])); | |
| 5146 | - | |
| 5147 | - | |
| 5148 | - meta = info.fromRegEx(vertex, fragment); | |
| 5149 | - | |
| 5150 | - assert(meta.hasError === false); | |
| 5151 | - | |
| 5152 | - for(name in uniforms) { | |
| 5153 | - found = false; | |
| 5154 | - for(metaUniformName in meta.uniforms) { | |
| 5155 | - if(metaUniformName === name) { | |
| 5156 | - found = true; | |
| 5157 | - break; | |
| 5158 | - } | |
| 5159 | - } | |
| 5160 | - assert(found, "missing:" + name); | |
| 5161 | - } | |
| 5162 | - | |
| 5163 | - assert(compareArrays(meta.uniformUISpec.uMyColor.min, [0, 0, 0, 0])); | |
| 5164 | - assert(compareArrays(meta.uniformUISpec.uMyColor.max, [1, 1, 1, 1])); | |
| 5165 | - | |
| 5166 | - console.log(" -> ok test shaderInfo"); | |
| 5167 | -}; | |
| 5168 | - | |
| 5169 | -//------------------------------------------------------------------------------ | |
| 5170 | -// regression test | |
| 5171 | -//------------------------------------------------------------------------------ | |
| 5172 | - | |
| 5173 | -Test.prototype.regression = function() { | |
| 5174 | - "use strict"; | |
| 5175 | - this.hierarchy(); | |
| 5176 | - this.registerProperty(); | |
| 5177 | - this.js_math(); | |
| 5178 | - this.getset(); | |
| 5179 | - this.animation(); | |
| 5180 | - this.animation_spline(); | |
| 5181 | - // this.shadereffect1(); | |
| 5182 | - this.views(); | |
| 5183 | - this.signals(); | |
| 5184 | - this.shaderInfo(); | |
| 5185 | -}; | |
| 5186 | - | |
| 5187 | -Test.prototype.remote_execution = function() { | |
| 5188 | - "use strict"; | |
| 5189 | - this.regression(); | |
| 5190 | -}; | |
| 5191 | - | |
| 5192 | -Test.prototype.stacking = function() { | |
| 5193 | - "use strict"; | |
| 5194 | - | |
| 5195 | - eventHandler.selectActor( dali.stage.rootRotationActor ); | |
| 5196 | - | |
| 5197 | - var a = dali.createSolidColorActor([1.0, 0.0, 0.0, 1.0], | |
| 5198 | - false, [0, 0, 0, 1], | |
| 5199 | - 0); | |
| 5200 | - app.addActor(a); | |
| 5201 | - | |
| 5202 | - eventHandler.selectActor( a ); | |
| 5203 | - | |
| 5204 | - var b = dali.createSolidColorActor([0.0, 0.0, 1.0, 1.0], | |
| 5205 | - false, [0, 0, 0, 1], | |
| 5206 | - 0); | |
| 5207 | - app.addActor(b); | |
| 5208 | - | |
| 5209 | - a.sizeWidth = a.sizeHeight = 100; | |
| 5210 | - b.sizeWidth = b.sizeHeight = 50; | |
| 5211 | - | |
| 5212 | - b.sizeWidth = 150; | |
| 5213 | - | |
| 5214 | - return [a, b]; | |
| 5215 | -}; | |
| 5216 | - | |
| 5217 | - | |
| 5218 | -var runTest = function(functionName) { | |
| 5219 | - "use strict"; | |
| 5220 | - | |
| 5221 | - clear(); | |
| 5222 | - | |
| 5223 | - dali.stage.setBackgroundColor([0.3, 0.3, 0.3, 1]); | |
| 5224 | - | |
| 5225 | - var test = dali[functionName](); | |
| 5226 | - | |
| 5227 | - if( test ) | |
| 5228 | - { | |
| 5229 | - if( !test.complete() ) | |
| 5230 | - { | |
| 5231 | - function check() { | |
| 5232 | - if( !test.complete() ) { | |
| 5233 | - window.setTimeout(checkPos, 500); | |
| 5234 | - } else { | |
| 5235 | - console.log("test success"); | |
| 5236 | - } | |
| 5237 | - } | |
| 5238 | - } | |
| 5239 | - } | |
| 5240 | - | |
| 5241 | -}; | |
| 5242 | - | |
| 5243 | -//------------------------------------------------------------------------------ | |
| 5244 | -// scratch | |
| 5245 | -//------------------------------------------------------------------------------ | |
| 5246 | -function animateShaderEffect2(actor) { | |
| 5247 | - "use strict"; | |
| 5248 | - var shader = new dali.ShaderEffect({ | |
| 5249 | - vertex: shaderSource2.vertex, | |
| 5250 | - fragment: shaderSource2.fragment | |
| 5251 | - }); | |
| 5252 | - | |
| 5253 | - actor.setShaderEffect(shader); | |
| 5254 | - | |
| 5255 | - var final = [5, 5, 5, 1]; | |
| 5256 | - | |
| 5257 | - var a = new dali.Animation(0); | |
| 5258 | - a.setDuration(3); | |
| 5259 | - a.setLooping(true); | |
| 5260 | - a.animateTo(shader, "weight", final, dali.AlphaFunction.LINEAR, 0, 3); | |
| 5261 | - | |
| 5262 | - a.play(); | |
| 5263 | - | |
| 5264 | - a.delete(); | |
| 5265 | - | |
| 5266 | -} | |
| 5267 | - | |
| 5268 | - | |
| 5269 | -var testfile = { // output from clara.io "Threejs scene output" | |
| 5270 | - "metadata": { | |
| 5271 | - "version": 4.3, // This isnt as its documented on threejs website | |
| 5272 | - "type": "Object", // and the general format looks more like format V3. | |
| 5273 | - "generator": "ObjectExporter" | |
| 5274 | - }, | |
| 5275 | - "geometries": [{ | |
| 5276 | - "uuid": "2f167add-e571-47c2-9da2-6f0e45cc1119", | |
| 5277 | - "type": "Geometry", | |
| 5278 | - "data": { | |
| 5279 | - "vertices": [ | |
| 5280 | - 0.5, | |
| 5281 | - 0.5, | |
| 5282 | - 0.5, | |
| 5283 | - 0.5, | |
| 5284 | - 0.5, -0.5, | |
| 5285 | - 0.5, -0.5, | |
| 5286 | - 0.5, | |
| 5287 | - 0.5, -0.5, -0.5, -0.5, | |
| 5288 | - 0.5, -0.5, -0.5, | |
| 5289 | - 0.5, | |
| 5290 | - 0.5, -0.5, -0.5, -0.5, -0.5, -0.5, | |
| 5291 | - 0.5 | |
| 5292 | - ], | |
| 5293 | - "normals": [ | |
| 5294 | - 1, | |
| 5295 | - 0, | |
| 5296 | - 0, -1, | |
| 5297 | - 0, | |
| 5298 | - 0, | |
| 5299 | - 0, | |
| 5300 | - 1, | |
| 5301 | - 0, | |
| 5302 | - 0, -1, | |
| 5303 | - 0, | |
| 5304 | - 0, | |
| 5305 | - 0, | |
| 5306 | - 1, | |
| 5307 | - 0, | |
| 5308 | - 0, -1 | |
| 5309 | - ], | |
| 5310 | - "uvs": [ | |
| 5311 | - [ | |
| 5312 | - 0, | |
| 5313 | - 1, | |
| 5314 | - 0, | |
| 5315 | - 0, | |
| 5316 | - 1, | |
| 5317 | - 0, | |
| 5318 | - 1, | |
| 5319 | - 1 | |
| 5320 | - ] | |
| 5321 | - ], | |
| 5322 | - "faces": [ | |
| 5323 | - 56, | |
| 5324 | - | |
| 5325 | - 0, | |
| 5326 | - 2, | |
| 5327 | - 3, | |
| 5328 | - | |
| 5329 | - 0, | |
| 5330 | - 1, | |
| 5331 | - 2, | |
| 5332 | - | |
| 5333 | - 0, | |
| 5334 | - 0, | |
| 5335 | - 0, | |
| 5336 | - | |
| 5337 | - 0, | |
| 5338 | - | |
| 5339 | - 56, | |
| 5340 | - 0, | |
| 5341 | - 3, | |
| 5342 | - 1, | |
| 5343 | - 0, | |
| 5344 | - 2, | |
| 5345 | - 3, | |
| 5346 | - 0, | |
| 5347 | - 0, | |
| 5348 | - 0, | |
| 5349 | - 0, | |
| 5350 | - 56, | |
| 5351 | - 4, | |
| 5352 | - 6, | |
| 5353 | - 7, | |
| 5354 | - 0, | |
| 5355 | - 1, | |
| 5356 | - 2, | |
| 5357 | - 1, | |
| 5358 | - 1, | |
| 5359 | - 1, | |
| 5360 | - 1, | |
| 5361 | - 56, | |
| 5362 | - 4, | |
| 5363 | - 7, | |
| 5364 | - 5, | |
| 5365 | - 0, | |
| 5366 | - 2, | |
| 5367 | - 3, | |
| 5368 | - 1, | |
| 5369 | - 1, | |
| 5370 | - 1, | |
| 5371 | - 1, | |
| 5372 | - 56, | |
| 5373 | - 4, | |
| 5374 | - 5, | |
| 5375 | - 0, | |
| 5376 | - 0, | |
| 5377 | - 1, | |
| 5378 | - 2, | |
| 5379 | - 2, | |
| 5380 | - 2, | |
| 5381 | - 2, | |
| 5382 | - 2, | |
| 5383 | - 56, | |
| 5384 | - 4, | |
| 5385 | - 0, | |
| 5386 | - 1, | |
| 5387 | - 0, | |
| 5388 | - 2, | |
| 5389 | - 3, | |
| 5390 | - 2, | |
| 5391 | - 2, | |
| 5392 | - 2, | |
| 5393 | - 2, | |
| 5394 | - 56, | |
| 5395 | - 7, | |
| 5396 | - 6, | |
| 5397 | - 3, | |
| 5398 | - 0, | |
| 5399 | - 1, | |
| 5400 | - 2, | |
| 5401 | - 3, | |
| 5402 | - 3, | |
| 5403 | - 3, | |
| 5404 | - 3, | |
| 5405 | - 56, | |
| 5406 | - 7, | |
| 5407 | - 3, | |
| 5408 | - 2, | |
| 5409 | - 0, | |
| 5410 | - 2, | |
| 5411 | - 3, | |
| 5412 | - 3, | |
| 5413 | - 3, | |
| 5414 | - 3, | |
| 5415 | - 3, | |
| 5416 | - 56, | |
| 5417 | - 5, | |
| 5418 | - 7, | |
| 5419 | - 2, | |
| 5420 | - 0, | |
| 5421 | - 1, | |
| 5422 | - 2, | |
| 5423 | - 4, | |
| 5424 | - 4, | |
| 5425 | - 4, | |
| 5426 | - 4, | |
| 5427 | - 56, | |
| 5428 | - 5, | |
| 5429 | - 2, | |
| 5430 | - 0, | |
| 5431 | - 0, | |
| 5432 | - 2, | |
| 5433 | - 3, | |
| 5434 | - 4, | |
| 5435 | - 4, | |
| 5436 | - 4, | |
| 5437 | - 4, | |
| 5438 | - 56, | |
| 5439 | - 1, | |
| 5440 | - 3, | |
| 5441 | - 6, | |
| 5442 | - 0, | |
| 5443 | - 1, | |
| 5444 | - 2, | |
| 5445 | - 5, | |
| 5446 | - 5, | |
| 5447 | - 5, | |
| 5448 | - 5, | |
| 5449 | - 56, | |
| 5450 | - 1, | |
| 5451 | - 6, | |
| 5452 | - 4, | |
| 5453 | - 0, | |
| 5454 | - 2, | |
| 5455 | - 3, | |
| 5456 | - 5, | |
| 5457 | - 5, | |
| 5458 | - 5, | |
| 5459 | - 5 | |
| 5460 | - ] | |
| 5461 | - } | |
| 5462 | - }], | |
| 5463 | - "materials": [{ | |
| 5464 | - "uuid": "14D499F1-27EF-45BF-A457-FD24DAB11205", | |
| 5465 | - "type": "MeshPhongMaterial", | |
| 5466 | - "color": 11579568, | |
| 5467 | - "ambient": 11579568, | |
| 5468 | - "emissive": 0, | |
| 5469 | - "specular": 0, | |
| 5470 | - "shininess": 50, | |
| 5471 | - "opacity": 1, | |
| 5472 | - "transparent": false, | |
| 5473 | - "wireframe": false | |
| 5474 | - }], | |
| 5475 | - "object": { | |
| 5476 | - "uuid": "BFEFB48D-0E6E-46A6-8568-5E258BA17078", | |
| 5477 | - "type": "Scene", | |
| 5478 | - "matrix": [ | |
| 5479 | - 1, | |
| 5480 | - 0, | |
| 5481 | - 0, | |
| 5482 | - 0, | |
| 5483 | - 0, | |
| 5484 | - 1, | |
| 5485 | - 0, | |
| 5486 | - 0, | |
| 5487 | - 0, | |
| 5488 | - 0, | |
| 5489 | - 1, | |
| 5490 | - 0, | |
| 5491 | - 0, | |
| 5492 | - 0, | |
| 5493 | - 0, | |
| 5494 | - 1 | |
| 5495 | - ], | |
| 5496 | - "children": [{ | |
| 5497 | - "uuid": "aa901bec-9e47-4b3b-bf3c-4efb0fe5d298", | |
| 5498 | - "name": "Box", | |
| 5499 | - "type": "Mesh", | |
| 5500 | - "geometry": "2f167add-e571-47c2-9da2-6f0e45cc1119", | |
| 5501 | - "material": "14D499F1-27EF-45BF-A457-FD24DAB11205", | |
| 5502 | - "castShadow": true, | |
| 5503 | - "receiveShadow": true, | |
| 5504 | - "matrix": [ | |
| 5505 | - 1, | |
| 5506 | - 0, | |
| 5507 | - 0, | |
| 5508 | - 0, | |
| 5509 | - 0, | |
| 5510 | - 1, | |
| 5511 | - 0, | |
| 5512 | - 0, | |
| 5513 | - 0, | |
| 5514 | - 0, | |
| 5515 | - 1, | |
| 5516 | - 0, | |
| 5517 | - 0, | |
| 5518 | - 0, | |
| 5519 | - 0, | |
| 5520 | - 1 | |
| 5521 | - ] | |
| 5522 | - }] | |
| 5523 | - } | |
| 5524 | -}; | |
| 5525 | - | |
| 5526 | - | |
| 5527 | - | |
| 5528 | -// | |
| 5529 | -// | |
| 5530 | -// Event/widget setup | |
| 5531 | -// | |
| 5532 | -// | |
| 5533 | - | |
| 5534 | -//------------------------------------------------------------------------------ | |
| 5535 | -// | |
| 5536 | -// Helper functions | |
| 5537 | -// | |
| 5538 | -//------------------------------------------------------------------------------ | |
| 5539 | -function rebuildDropdown(dropdownElement, db, dbStoreName, optionalItemDataFunc) { | |
| 5540 | - "use strict"; | |
| 5541 | - removeAllChildren(dropdownElement); | |
| 5542 | - | |
| 5543 | - var func = optionalItemDataFunc; | |
| 5544 | - if( !func ) { | |
| 5545 | - func = function(name) { | |
| 5546 | - return [null, name]; | |
| 5547 | - }; | |
| 5548 | - } | |
| 5549 | - | |
| 5550 | - var li; | |
| 5551 | - var a; | |
| 5552 | - var names = db.getKeys(dbStoreName); | |
| 5553 | - | |
| 5554 | - for(var i = 0; i < names.length; i++) { | |
| 5555 | - li = document.createElement("li"); | |
| 5556 | - var hrefText = func(names[i]); | |
| 5557 | - if( hrefText[0] ) { | |
| 5558 | - a = document.createElement("a"); | |
| 5559 | - a.href = hrefText[0]; | |
| 5560 | - a.text = hrefText[1]; | |
| 5561 | - } else { | |
| 5562 | - a = document.createElement("p"); | |
| 5563 | - a.textContent = hrefText[1]; | |
| 5564 | - } | |
| 5565 | - li.appendChild(a); | |
| 5566 | - dropdownElement.appendChild(li); | |
| 5567 | - } | |
| 5568 | -} | |
| 5569 | - | |
| 5570 | - | |
| 5571 | -//------------------------------------------------------------------------------ | |
| 5572 | -// | |
| 5573 | -// UI General | |
| 5574 | -// | |
| 5575 | -//------------------------------------------------------------------------------ | |
| 5576 | -function UIApp() { | |
| 5577 | - "use strict"; | |
| 5578 | - var self = this; | |
| 5579 | - | |
| 5580 | - self.modalQuestionYesFunction = null; | |
| 5581 | - self.modalQuestionNoFunction = null; | |
| 5582 | - | |
| 5583 | - var _modalQuestionYes = function() { | |
| 5584 | - if(self.modalQuestionYesFunction) { | |
| 5585 | - self.modalQuestionYesFunction(); | |
| 5586 | - } | |
| 5587 | - self.modalQuestionYesFunction = null; | |
| 5588 | - self.modalQuestionNoFunction = null; | |
| 5589 | - }; | |
| 5590 | - | |
| 5591 | - var _modalQuestionNo = function() { | |
| 5592 | - if(self.modalQuestionNo) { | |
| 5593 | - self.modalQuestionNo(); | |
| 5594 | - } | |
| 5595 | - self.modalQuestionYesFunction = null; | |
| 5596 | - self.modalQuestionNoFunction = null; | |
| 5597 | - }; | |
| 5598 | - | |
| 5599 | - var _modalInputOk = function() { | |
| 5600 | - if(self.modalInputOkFunction) { | |
| 5601 | - var input = $("#modalInputText")[0]; | |
| 5602 | - self.modalInputOkFunction(input.value); | |
| 5603 | - } | |
| 5604 | - self.modalInputOkFunction = null; | |
| 5605 | - self.modalInputCancelFunction = null; | |
| 5606 | - }; | |
| 5607 | - | |
| 5608 | - var _modalInputCancel = function() { | |
| 5609 | - if(self.modalInputCancel) { | |
| 5610 | - self.modalInputCancel(); | |
| 5611 | - } | |
| 5612 | - self.modalInputOkFunction = null; | |
| 5613 | - self.modalInputCancelFunction = null; | |
| 5614 | - }; | |
| 5615 | - | |
| 5616 | - $("#modalQuestionYes")[0].addEventListener("click", _modalQuestionYes); | |
| 5617 | - $("#modalQuestionNo")[0].addEventListener("click", _modalQuestionNo); | |
| 5618 | - | |
| 5619 | - self.modalInputYesFunction = null; | |
| 5620 | - self.modalInputNoFunction = null; | |
| 5621 | - | |
| 5622 | - $("#modalInputOk")[0].addEventListener("click", _modalInputOk); | |
| 5623 | - $("#modalInputCancel")[0].addEventListener("click", _modalInputCancel); | |
| 5624 | - | |
| 5625 | -} | |
| 5626 | - | |
| 5627 | -UIApp.prototype.messageBoxHTML = function(innerHtmlText) { | |
| 5628 | - "use strict"; | |
| 5629 | - var modalBody = $("#modalCodeInfoBody")[0]; | |
| 5630 | - removeAllChildren(modalBody); | |
| 5631 | - modalBody.innerHTML = innerHtmlText; | |
| 5632 | - $("#modalCodeInfo").modal("show"); | |
| 5633 | -}; | |
| 5634 | - | |
| 5635 | -UIApp.prototype.messageBox = function(message) { | |
| 5636 | - "use strict"; | |
| 5637 | - this.messageBoxHTML("<p>" + message + "</p>"); | |
| 5638 | -}; | |
| 5639 | - | |
| 5640 | -UIApp.prototype.questionBox = function(message, yesFunction, noFunction) { | |
| 5641 | - "use strict"; | |
| 5642 | - var modalBody = $("#modalQuestionBody")[0]; | |
| 5643 | - removeAllChildren(modalBody); | |
| 5644 | - modalBody.innerHTML = "<p>" + message + "</p>"; | |
| 5645 | - | |
| 5646 | - this.modalQuestionYesFunction = yesFunction; | |
| 5647 | - this.modalQuestionNoFunction = noFunction; | |
| 5648 | - | |
| 5649 | - $("#modalQuestion").modal("show"); | |
| 5650 | -}; | |
| 5651 | - | |
| 5652 | -UIApp.prototype.codeInformationBox = function(code) { | |
| 5653 | - "use strict"; | |
| 5654 | - var modalBody = $("#modalCodeInfoBody")[0]; | |
| 5655 | - removeAllChildren(modalBody); | |
| 5656 | - modalBody.innerHTML = "<pre>" + code + "</pre>"; | |
| 5657 | - $("#modalCodeInfo").modal("show"); | |
| 5658 | -}; | |
| 5659 | - | |
| 5660 | -UIApp.prototype.inputbox = function(message, okFunction, cancelFunction) { | |
| 5661 | - "use strict"; | |
| 5662 | - var modalBody = $("#modalInputBody")[0]; | |
| 5663 | - removeAllChildren(modalBody); | |
| 5664 | - modalBody.innerHTML = "<p>" + message + "</p>"; | |
| 5665 | - | |
| 5666 | - this.modalInputOkFunction = okFunction; | |
| 5667 | - this.modalInputCancelFunction = cancelFunction; | |
| 5668 | - | |
| 5669 | - $("#modalInput").modal("show"); | |
| 5670 | -}; | |
| 5671 | - | |
| 5672 | -UIApp.prototype.getTypedBuffer = function(file, callback) { | |
| 5673 | - "use strict"; | |
| 5674 | - if (!file) { | |
| 5675 | - return; | |
| 5676 | - } | |
| 5677 | - var reader = new FileReader(); | |
| 5678 | - reader._theFilename = file.name; | |
| 5679 | - reader.onload = function(// e | |
| 5680 | - ) { | |
| 5681 | - var uint8View = new Uint8Array(reader.result); // convert ArrayBuffer into a typed array? | |
| 5682 | - callback(file.name, uint8View); | |
| 5683 | - }; | |
| 5684 | - | |
| 5685 | - reader.readAsArrayBuffer(file); | |
| 5686 | -}; | |
| 5687 | - | |
| 5688 | - | |
| 5689 | -//------------------------------------------------------------------------------ | |
| 5690 | -// | |
| 5691 | -// Javascript UI Tab | |
| 5692 | -// | |
| 5693 | -//------------------------------------------------------------------------------ | |
| 5694 | -function UIJavascriptTab() { | |
| 5695 | - "use strict"; | |
| 5696 | - var self = this; | |
| 5697 | - self.bufferPrepend = "Buffer Name:"; | |
| 5698 | - | |
| 5699 | - this.addNewBuffer = function() { | |
| 5700 | - var alreadyExists = function() { | |
| 5701 | - self.addNewBuffer(); | |
| 5702 | - }; | |
| 5703 | - | |
| 5704 | - var inputOk = function(name) { | |
| 5705 | - var data = database.readJavascript(name); | |
| 5706 | - if(data) { | |
| 5707 | - uiApp.messageBox("Name already exsists", alreadyExists); | |
| 5708 | - } else { | |
| 5709 | - var newData = {name: name, source: ""}; | |
| 5710 | - database.writeJavascript(newData); | |
| 5711 | - self.rebuildDropdown(database); | |
| 5712 | - } | |
| 5713 | - }; | |
| 5714 | - | |
| 5715 | - uiApp.inputbox("BufferName?", inputOk); | |
| 5716 | - | |
| 5717 | - }; | |
| 5718 | - | |
| 5719 | - this.renameBuffer = function() { | |
| 5720 | - var writeOK = function() { | |
| 5721 | - var openRequest = database.open(); | |
| 5722 | - | |
| 5723 | - openRequest.onsuccess = function(event) { | |
| 5724 | - var db = event.target.result; | |
| 5725 | - self.rebuildDropdown(database); | |
| 5726 | - db.close(); | |
| 5727 | - }; | |
| 5728 | - }; | |
| 5729 | - | |
| 5730 | - var inputOk = function(name) { | |
| 5731 | - var data = uiJavascriptTab.getData(); | |
| 5732 | - data.name = name; | |
| 5733 | - database.writeJavascript(data, writeOK); | |
| 5734 | - }; | |
| 5735 | - | |
| 5736 | - uiApp.inputbox("BufferName?", inputOk); | |
| 5737 | - | |
| 5738 | - }; | |
| 5739 | - | |
| 5740 | - this.loadJavascript = function(name) { | |
| 5741 | - var data = database.readJavascript(name); | |
| 5742 | - | |
| 5743 | - // save current | |
| 5744 | - var currentData = self.getData(); | |
| 5745 | - if(currentData) { | |
| 5746 | - database.writeJavascript(currentData); | |
| 5747 | - } | |
| 5748 | - | |
| 5749 | - self.setData(data); | |
| 5750 | - }; | |
| 5751 | - | |
| 5752 | - ace.require("ace/ext/language_tools"); | |
| 5753 | - var editor = ace.edit("editorJavascript"); | |
| 5754 | - | |
| 5755 | - var _thisFunctions = []; | |
| 5756 | - for(var attr in this) { | |
| 5757 | - if( !(attr.startsWith("_") || attr.startsWith("dynCall") || attr.startsWith("invoke") ) ) { | |
| 5758 | - if( typeof this[attr] === "function") { | |
| 5759 | - _thisFunctions.push( attr ); | |
| 5760 | - } | |
| 5761 | - } | |
| 5762 | - } | |
| 5763 | - | |
| 5764 | - var myCompleter = { | |
| 5765 | - getCompletions: function(theEditor, session, pos, prefix, callback) { | |
| 5766 | - var wordlist = []; | |
| 5767 | - if(prefix === "dali.") { | |
| 5768 | - for(attr in dali) { | |
| 5769 | - if( !(attr.startsWith("_") || attr.startsWith("dynCall") || attr.startsWith("invoke") ) ) { | |
| 5770 | - if( typeof dali[attr] === "function") { | |
| 5771 | - wordlist.push( attr ); | |
| 5772 | - } | |
| 5773 | - } | |
| 5774 | - } | |
| 5775 | - } else { | |
| 5776 | - wordlist = _thisFunctions; | |
| 5777 | - } | |
| 5778 | - callback(null, wordlist.map(function(word) { | |
| 5779 | - return { | |
| 5780 | - caption: word, | |
| 5781 | - value: word, | |
| 5782 | - meta: "static" | |
| 5783 | - }; | |
| 5784 | - })); | |
| 5785 | - } | |
| 5786 | - }; | |
| 5787 | - | |
| 5788 | - editor.completers = [ myCompleter ]; | |
| 5789 | - | |
| 5790 | - editor.setOptions({ | |
| 5791 | - enableBasicAutocompletion: true, | |
| 5792 | - enableSnippets: true, | |
| 5793 | - enableLiveAutocompletion: true | |
| 5794 | - }); | |
| 5795 | - | |
| 5796 | - document.getElementById("btnJavascriptSourceJson").addEventListener( | |
| 5797 | - "click", | |
| 5798 | - function(/*e*/) { | |
| 5799 | - self.showModalJSON(); | |
| 5800 | - }); | |
| 5801 | - | |
| 5802 | - document.getElementById("btnJavascriptClearRun").addEventListener( | |
| 5803 | - "click", | |
| 5804 | - function(/*e*/) { | |
| 5805 | - self.clearStageAndEval(); | |
| 5806 | - }); | |
| 5807 | - | |
| 5808 | - document.getElementById("btnJavascriptRun").addEventListener( | |
| 5809 | - "click", | |
| 5810 | - function(/*e*/) { | |
| 5811 | - self.eval(); | |
| 5812 | - }); | |
| 5813 | - | |
| 5814 | - document.getElementById("btnJavascriptAddBuffer").addEventListener( | |
| 5815 | - "click", | |
| 5816 | - function(/*e*/) { | |
| 5817 | - self.addNewBuffer(); | |
| 5818 | - }); | |
| 5819 | - | |
| 5820 | - document.getElementById("btnJavascriptRenameBuffer").addEventListener( | |
| 5821 | - "click", | |
| 5822 | - function(/*e*/) { | |
| 5823 | - self.renameBuffer(); | |
| 5824 | - }); | |
| 5825 | - | |
| 5826 | - this.currentName = undefined; | |
| 5827 | - | |
| 5828 | - var names = database.readJavascriptNames(); | |
| 5829 | - if(names.length) { | |
| 5830 | - self.loadJavascript(names[0]); // load first javascript buffer | |
| 5831 | - } | |
| 5832 | - | |
| 5833 | -} | |
| 5834 | - | |
| 5835 | -UIJavascriptTab.prototype.getData = function() { | |
| 5836 | - "use strict"; | |
| 5837 | - var e = ace.edit("editorJavascript"); | |
| 5838 | - var ascii = native2ascii(e.getSession().getValue()); | |
| 5839 | - | |
| 5840 | - if(this.currentName !== undefined) { | |
| 5841 | - return { name: this.currentName, | |
| 5842 | - source: ascii }; | |
| 5843 | - } else { | |
| 5844 | - return undefined; | |
| 5845 | - } | |
| 5846 | -}; | |
| 5847 | - | |
| 5848 | -UIJavascriptTab.prototype.setData = function(data) { | |
| 5849 | - "use strict"; | |
| 5850 | - this.currentName = data.name; | |
| 5851 | - // set new | |
| 5852 | - var editor = ace.edit("editorJavascript"); | |
| 5853 | - editor.getSession().setValue(data.source); | |
| 5854 | - | |
| 5855 | - $("#textJavascriptName").html(this.bufferPrepend + data.name); | |
| 5856 | - | |
| 5857 | -}; | |
| 5858 | - | |
| 5859 | -UIJavascriptTab.prototype.showModalJSON = function() { | |
| 5860 | - "use strict"; | |
| 5861 | - var e = ace.edit("editorJavascript"); | |
| 5862 | - var ascii = native2ascii(e.getSession().getValue()); | |
| 5863 | - | |
| 5864 | - var lines = ascii.split("\n"); | |
| 5865 | - | |
| 5866 | - var data = "{source:"; | |
| 5867 | - | |
| 5868 | - for(var i = 0; i < lines.length; i++) { | |
| 5869 | - data += "\"" + lines[i].replace(/"/g, "\\\"") + "\\n\" +\n"; | |
| 5870 | - } | |
| 5871 | - | |
| 5872 | - data += "\n\"\"}"; | |
| 5873 | - | |
| 5874 | - // data = data.replace(/<([^ ]*)/g, "< $1"); // for loops are interpreted by browser as tags and dont print? | |
| 5875 | - | |
| 5876 | - // data = data.replace(/"/g, "\\\""); // for loops are interpreted by browser as tags and dont print? | |
| 5877 | - | |
| 5878 | - // data = data.replace(/<([^ ]*)/g, "< $1"); // for loops are interpreted by browser as tags and dont print? | |
| 5879 | - | |
| 5880 | - uiApp.codeInformationBox( data ); | |
| 5881 | - | |
| 5882 | -}; | |
| 5883 | - | |
| 5884 | -UIJavascriptTab.prototype.clearStageAndEval = function() { | |
| 5885 | - "use strict"; | |
| 5886 | - var e = ace.edit("editorJavascript"); | |
| 5887 | - var ascii = native2ascii(e.getSession().getValue()); | |
| 5888 | - clear(); | |
| 5889 | - // as of ecma5 an indirect call like this is in global scope | |
| 5890 | - var globalEval = eval; | |
| 5891 | - globalEval(ascii); | |
| 5892 | -}; | |
| 5893 | - | |
| 5894 | -UIJavascriptTab.prototype.eval = function() { | |
| 5895 | - "use strict"; | |
| 5896 | - var e = ace.edit("editorJavascript"); | |
| 5897 | - var ascii = native2ascii(e.getSession().getValue()); | |
| 5898 | - // as of ecma5 an indirect call like this is in global scope | |
| 5899 | - var globalEval = eval; | |
| 5900 | - globalEval(ascii); | |
| 5901 | -}; | |
| 5902 | - | |
| 5903 | -UIJavascriptTab.prototype.rebuildDropdown = function(db) { | |
| 5904 | - "use strict"; | |
| 5905 | - rebuildDropdown( document.getElementById("javascriptDropDown"), | |
| 5906 | - db, | |
| 5907 | - "javascript", | |
| 5908 | - function(name) { | |
| 5909 | - return ["javascript:uiJavascriptTab.loadJavascript(\"" + name + "\")", | |
| 5910 | - name]; | |
| 5911 | - } | |
| 5912 | - ); | |
| 5913 | -}; | |
| 5914 | - | |
| 5915 | - | |
| 5916 | -//------------------------------------------------------------------------------ | |
| 5917 | -// | |
| 5918 | -// Image UI Tab | |
| 5919 | -// | |
| 5920 | -//------------------------------------------------------------------------------ | |
| 5921 | - | |
| 5922 | -/** | |
| 5923 | - * Get or create a dali image from the image buffer. | |
| 5924 | - * | |
| 5925 | - * Global function for use in javascript buffers or the console. | |
| 5926 | - * @param {string} shader buffer name | |
| 5927 | - * @return {Object} dali.Image | |
| 5928 | - */ | |
| 5929 | -function imageFromUiBuffer(name) { | |
| 5930 | - "use strict"; | |
| 5931 | - var img = uiImageTab.getDaliImage(name); | |
| 5932 | - assert(img, "Could not find image:" + name); | |
| 5933 | - return img; | |
| 5934 | -} | |
| 5935 | - | |
| 5936 | - | |
| 5937 | -/** | |
| 5938 | - * Manages UI image tab. | |
| 5939 | - * | |
| 5940 | - * @constructor | |
| 5941 | - */ | |
| 5942 | -function UIImageTab() { | |
| 5943 | - "use strict"; | |
| 5944 | - var self = this; | |
| 5945 | - this.imagesCreated = {}; // dali shader objects | |
| 5946 | - | |
| 5947 | - /********** methods **********/ | |
| 5948 | - this.getBufferImageRGB = function(file, callback) { | |
| 5949 | - if (!file) { | |
| 5950 | - return; | |
| 5951 | - } | |
| 5952 | - | |
| 5953 | - var img = new HTML5Image(); // the renamed Image() | |
| 5954 | - | |
| 5955 | - var objectUrl = window.URL.createObjectURL(file); | |
| 5956 | - | |
| 5957 | - img.onload = function( //e | |
| 5958 | - ) { | |
| 5959 | - var imageCanvas = document.createElement("canvas"); | |
| 5960 | - imageCanvas.width = img.width; // naturalWidth; | |
| 5961 | - imageCanvas.height = img.height; // naturalHeight; | |
| 5962 | - var context = imageCanvas.getContext("2d"); | |
| 5963 | - context.drawImage(img, 0, 0 ); | |
| 5964 | - var imageData = context.getImageData(0, 0, img.naturalWidth, img.naturalHeight); // <-ImageData | |
| 5965 | - callback(file.name, imageData); | |
| 5966 | - window.URL.revokeObjectURL(objectUrl); | |
| 5967 | - }; | |
| 5968 | - | |
| 5969 | - img.src = objectUrl; | |
| 5970 | - | |
| 5971 | - }; | |
| 5972 | - | |
| 5973 | - | |
| 5974 | - /** | |
| 5975 | - * Add new image data | |
| 5976 | - * | |
| 5977 | - * @param {object} ImageData object | |
| 5978 | - */ | |
| 5979 | - this.addNewBuffer = function(imageData) { | |
| 5980 | - var alreadyExists = function() { | |
| 5981 | - self.addNewBuffer(imageData); | |
| 5982 | - }; | |
| 5983 | - | |
| 5984 | - var inputOk = function(name) { | |
| 5985 | - var oldData = database.readImage(name); | |
| 5986 | - if(oldData) { | |
| 5987 | - uiApp.messageBox("Name already exsists", alreadyExists); | |
| 5988 | - } else { | |
| 5989 | - database.writeImage(name, imageData); | |
| 5990 | - self.rebuildDropdown(database); | |
| 5991 | - } | |
| 5992 | - }; | |
| 5993 | - | |
| 5994 | - uiApp.inputbox("BufferName?", inputOk); | |
| 5995 | - }; | |
| 5996 | - | |
| 5997 | - this.renameBuffer = function() { | |
| 5998 | - var inputOk = function(name) { | |
| 5999 | - var data = uiJavascriptTab.getData(); | |
| 6000 | - data.name = name; | |
| 6001 | - database.writeJavascript(data); | |
| 6002 | - self.rebuildDropdown(database); | |
| 6003 | - }; | |
| 6004 | - | |
| 6005 | - uiApp.inputbox("BufferName?", inputOk); | |
| 6006 | - }; | |
| 6007 | - | |
| 6008 | - /** | |
| 6009 | - * Load image into the UI Image tab. (used for dynamically generated html dropdowns) | |
| 6010 | - * | |
| 6011 | - * @param {string} name of image buffer | |
| 6012 | - */ | |
| 6013 | - this.loadImage = function(name) { | |
| 6014 | - self.setData( database.readImage(name) ); | |
| 6015 | - }; | |
| 6016 | - | |
| 6017 | - /********** init **********/ | |
| 6018 | - | |
| 6019 | - document.getElementById("btnImageAddBuffer").addEventListener( | |
| 6020 | - "change", | |
| 6021 | - function() { | |
| 6022 | - var fileInput = document.getElementById("btnImageAddBuffer"); | |
| 6023 | - var file = fileInput.files[0]; | |
| 6024 | - self.getBufferImageRGB( | |
| 6025 | - file, | |
| 6026 | - function(name, typedBuffer) { | |
| 6027 | - self.addNewBuffer(typedBuffer); | |
| 6028 | - }); | |
| 6029 | - }); | |
| 6030 | - | |
| 6031 | - | |
| 6032 | - document.getElementById("btnImageRenameBuffer").addEventListener( | |
| 6033 | - "click", | |
| 6034 | - function(/*e*/) { | |
| 6035 | - self.renameBuffer(); | |
| 6036 | - }); | |
| 6037 | - | |
| 6038 | - var names = database.readImageNames(); | |
| 6039 | - if(names.length) { | |
| 6040 | - // load first image buffer | |
| 6041 | - self.setData( database.readImage(names[0]) ); | |
| 6042 | - } | |
| 6043 | - | |
| 6044 | -} | |
| 6045 | - | |
| 6046 | -/** | |
| 6047 | - * Get or create a dali image from the image buffer. | |
| 6048 | - * | |
| 6049 | - * @return {Object} dali.Image | |
| 6050 | - */ | |
| 6051 | -UIImageTab.prototype.getDaliImage = function(name) { | |
| 6052 | - "use strict"; | |
| 6053 | - if(name in this.imagesCreated) { | |
| 6054 | - return this.imagesCreated[name]; | |
| 6055 | - } else { | |
| 6056 | - var imageData = database.readImage(name); | |
| 6057 | - var uint8array = new Uint8Array(imageData.data); | |
| 6058 | - var image = new dali.BufferImage(uint8array, imageData.width, imageData.height, dali.PixelFormat.RGBA8888); | |
| 6059 | - this.imagesCreated[name] = image; | |
| 6060 | - return image; | |
| 6061 | - } | |
| 6062 | -}; | |
| 6063 | - | |
| 6064 | -UIImageTab.prototype.rebuildDropdown = function(db) { | |
| 6065 | - "use strict"; | |
| 6066 | - rebuildDropdown( document.getElementById("imageDropDown"), | |
| 6067 | - db, | |
| 6068 | - "images", | |
| 6069 | - function(name) { | |
| 6070 | - return ["javascript:uiImageTab.loadImage(\"" + name + "\")", | |
| 6071 | - name]; | |
| 6072 | - } | |
| 6073 | - ); | |
| 6074 | -}; | |
| 6075 | - | |
| 6076 | -UIImageTab.prototype.setData = function(data) { | |
| 6077 | - "use strict"; | |
| 6078 | - var imageViewCanvas = document.getElementById("imageViewCanvas"); // createElement("canvas"); | |
| 6079 | - imageViewCanvas.width = data.width; // naturalWidth; | |
| 6080 | - imageViewCanvas.height = data.height; // naturalHeight; | |
| 6081 | - var context = imageViewCanvas.getContext("2d"); | |
| 6082 | - context.putImageData( data, 0, 0 ); | |
| 6083 | - | |
| 6084 | -}; | |
| 6085 | - | |
| 6086 | -//------------------------------------------------------------------------------ | |
| 6087 | -// | |
| 6088 | -// Shader UI Tab | |
| 6089 | -// | |
| 6090 | -//------------------------------------------------------------------------------ | |
| 6091 | -/** | |
| 6092 | - * Get or create a dali shader from the shader buffer. | |
| 6093 | - * | |
| 6094 | - * Global function for use in javascript buffers or the console. | |
| 6095 | - * @param {string} shader buffer name | |
| 6096 | - * @return {Object} dali.Shader | |
| 6097 | - */ | |
| 6098 | -function shaderFromUiBuffer(name) { | |
| 6099 | - "use strict"; | |
| 6100 | - var shader = uiShaderTab.getDaliShader(name); | |
| 6101 | - assert(shader, "Could not find/compile shader:" + name); | |
| 6102 | - return shader; | |
| 6103 | -} | |
| 6104 | - | |
| 6105 | -function shaderInfoFromUiBuffer(name) { | |
| 6106 | - "use strict"; | |
| 6107 | - return uiShaderTab.getShaderInfo(name); | |
| 6108 | -} | |
| 6109 | - | |
| 6110 | -/** | |
| 6111 | - * Manage shader UI tab events. | |
| 6112 | - * Holds dali shader objects created from shader buffers. | |
| 6113 | - * | |
| 6114 | - * @constructor | |
| 6115 | - * @return {Object} UIShaderTab | |
| 6116 | - */ | |
| 6117 | -function UIShaderTab() { | |
| 6118 | - "use strict"; | |
| 6119 | - var self = this; | |
| 6120 | - this.bufferPrepend = "Buffer Name:"; | |
| 6121 | - this.inhibitCheckAndUpdateShader = false; | |
| 6122 | - | |
| 6123 | - this.shadersCreated = {}; // dali shader objects | |
| 6124 | - document.getElementById("btnShaderAddBuffer").addEventListener( | |
| 6125 | - "click", | |
| 6126 | - function(/*e*/) { | |
| 6127 | - self.addNewBuffer(); | |
| 6128 | - }); | |
| 6129 | - | |
| 6130 | - document.getElementById("btnShaderRenameBuffer").addEventListener( | |
| 6131 | - "click", | |
| 6132 | - function(/*e*/) { | |
| 6133 | - self.renameBuffer(); | |
| 6134 | - }); | |
| 6135 | - | |
| 6136 | - document.getElementById("btnShaderSourceJSON").addEventListener( | |
| 6137 | - "click", | |
| 6138 | - function(/*e*/) { | |
| 6139 | - self.showModalJSON(); | |
| 6140 | - }); | |
| 6141 | - | |
| 6142 | - document.getElementById("btnShaderSourceC").addEventListener( | |
| 6143 | - "click", | |
| 6144 | - function(/*e*/) { | |
| 6145 | - self.showModalC(); | |
| 6146 | - }); | |
| 6147 | - | |
| 6148 | - document.getElementById("btnShaderSourceJS").addEventListener( | |
| 6149 | - "click", | |
| 6150 | - function(/*e*/) { | |
| 6151 | - self.showModalJS(); | |
| 6152 | - }); | |
| 6153 | - | |
| 6154 | - | |
| 6155 | - this.addNewBuffer = function() { | |
| 6156 | - var alreadyExists = function() { | |
| 6157 | - self.addNewBuffer(); | |
| 6158 | - }; | |
| 6159 | - | |
| 6160 | - var inputOk = function(name) { | |
| 6161 | - var data = database.readJavascript(name); | |
| 6162 | - if(data) { | |
| 6163 | - uiApp.messageBox("Name already exsists", alreadyExists); | |
| 6164 | - } else { | |
| 6165 | - var newData = {name: name, fragment: "", vertex: "", hints: ""}; | |
| 6166 | - database.writeShader(newData); | |
| 6167 | - self.rebuildDropDown(database); | |
| 6168 | - } | |
| 6169 | - }; | |
| 6170 | - | |
| 6171 | - uiApp.inputbox("BufferName?", inputOk); | |
| 6172 | - | |
| 6173 | - }; | |
| 6174 | - | |
| 6175 | - this.renameBuffer = function() { | |
| 6176 | - var inputOk = function(name) { | |
| 6177 | - var data = self.getData(); | |
| 6178 | - data.name = name; | |
| 6179 | - database.writeShader(data); | |
| 6180 | - $("#textShaderName").html(self.bufferPrepend + name); | |
| 6181 | - self.rebuildDropdown(database); | |
| 6182 | - }; | |
| 6183 | - | |
| 6184 | - uiApp.inputbox("BufferName?", inputOk); | |
| 6185 | - }; | |
| 6186 | - | |
| 6187 | - this.loadShader = function(name) { | |
| 6188 | - | |
| 6189 | - var data = database.readShader(name); | |
| 6190 | - | |
| 6191 | - // save current | |
| 6192 | - var currentData = self.getData(); | |
| 6193 | - if(currentData) { | |
| 6194 | - database.writeShader(currentData); | |
| 6195 | - } | |
| 6196 | - | |
| 6197 | - // so that we can change vertex & fragment as an atomic operation | |
| 6198 | - self.inhibitCheckAndUpdateShader = true; | |
| 6199 | - | |
| 6200 | - // otherwise this will trigger a checkAndUpdateShader() after | |
| 6201 | - // we've only changed the vertex shader (ie with mismatching fragment shader) | |
| 6202 | - self.setData(data); | |
| 6203 | - | |
| 6204 | - self.inhibitCheckAndUpdateShader = false; | |
| 6205 | - | |
| 6206 | - self.checkAndUpdateShader(); | |
| 6207 | - | |
| 6208 | - }; | |
| 6209 | - | |
| 6210 | - /** | |
| 6211 | - * Set the UI tab data of vertex/fragment strings. | |
| 6212 | - * | |
| 6213 | - * @param {Object} shader data object | |
| 6214 | - */ | |
| 6215 | - this.setData = function(options) { | |
| 6216 | - var e; | |
| 6217 | - var vertex = ""; | |
| 6218 | - var fragment = ""; | |
| 6219 | - var hints = ""; | |
| 6220 | - | |
| 6221 | - vertex = options.vertex; | |
| 6222 | - fragment = options.fragment; | |
| 6223 | - hints = options.hints; | |
| 6224 | - | |
| 6225 | - $("#requiresSelfDepthTest").prop("checked", (hints.search("requiresSelfDepthTest") >= 0)); | |
| 6226 | - $("#outputIsTransparent").prop("checked", (hints.search("outputIsTransparent") >= 0)); | |
| 6227 | - $("#outputIsOpaque").prop("checked", (hints.search("outputIsOpaque") >= 0)); | |
| 6228 | - $("#modifiesGeometry").prop("checked", (hints.search("modifiesGeometry") >= 0)); | |
| 6229 | - | |
| 6230 | - // do this after setting up the checkboxes as it will trigger storing the checkbox state | |
| 6231 | - // in the actorIdToShaderSet map | |
| 6232 | - e = ace.edit("editorVertex"); | |
| 6233 | - e.getSession().setValue(vertex); | |
| 6234 | - | |
| 6235 | - e = ace.edit("editorFragment"); | |
| 6236 | - e.getSession().setValue(fragment); | |
| 6237 | - | |
| 6238 | - $("#textShaderName").html(self.bufferPrepend + options.name); | |
| 6239 | - | |
| 6240 | - }; | |
| 6241 | - | |
| 6242 | - var shaderTab = $("#tab2primary")[0]; | |
| 6243 | - var lastClassName = shaderTab.className; | |
| 6244 | - window.setInterval( function() { | |
| 6245 | - var className = shaderTab.className; | |
| 6246 | - if (className !== lastClassName) { | |
| 6247 | - // | |
| 6248 | - // an attempt to get the editboxes to display the correct content. | |
| 6249 | - // when you setValue() the content and they aren't visible then | |
| 6250 | - // they dont update properly until you click in the box | |
| 6251 | - // | |
| 6252 | - var e = ace.edit("editorVertex"); | |
| 6253 | - e.setShowInvisibles(true); | |
| 6254 | - e.setShowInvisibles(false); | |
| 6255 | - | |
| 6256 | - e = ace.edit("editorFragment"); | |
| 6257 | - e.setShowInvisibles(true); | |
| 6258 | - e.setShowInvisibles(false); | |
| 6259 | - lastClassName = className; | |
| 6260 | - } | |
| 6261 | - }, 1); | |
| 6262 | - | |
| 6263 | - var names = database.readShaderNames(); | |
| 6264 | - if(names.length) { | |
| 6265 | - // load first image buffer | |
| 6266 | - self.setData( database.readShader(names[0]) ); | |
| 6267 | - } | |
| 6268 | - | |
| 6269 | - var editor = ace.edit("editorVertex"); | |
| 6270 | - editor.getSession().addEventListener("change", function() { | |
| 6271 | - self.checkAndUpdateShader(); | |
| 6272 | - }); | |
| 6273 | - | |
| 6274 | - editor = ace.edit("editorFragment"); | |
| 6275 | - editor.getSession().addEventListener("change", function() { | |
| 6276 | - self.checkAndUpdateShader(); | |
| 6277 | - }); | |
| 6278 | - | |
| 6279 | -} | |
| 6280 | - | |
| 6281 | -/** | |
| 6282 | - * Get or create a dali shader from the shader buffer. | |
| 6283 | - * | |
| 6284 | - * @return {Object} dali.Shader | |
| 6285 | - */ | |
| 6286 | -UIShaderTab.prototype.getDaliShader = function(name) { | |
| 6287 | - "use strict"; | |
| 6288 | - if(name in this.shadersCreated) { | |
| 6289 | - return this.shadersCreated[name].daliShader; | |
| 6290 | - } else { | |
| 6291 | - var ret = null; | |
| 6292 | - var data = database.readShader(name); | |
| 6293 | - | |
| 6294 | - if(this.isCompilable(data)) { | |
| 6295 | - var daliShader = new dali.Shader(data.vertex, | |
| 6296 | - data.fragment, | |
| 6297 | - this.getDaliShaderHints(data.hints)); | |
| 6298 | - | |
| 6299 | - var shaderInfo = new dali.ShaderInfo(); | |
| 6300 | - var info = shaderInfo.fromCompilation( canvas.getContext("webgl"), | |
| 6301 | - data.vertex, | |
| 6302 | - data.fragment ); | |
| 6303 | - | |
| 6304 | - for(name in info.uniformUISpec) { | |
| 6305 | - var metaData = info.uniformUISpec[name]; | |
| 6306 | - if("default" in metaData) { | |
| 6307 | - // could provide automatic defaults | |
| 6308 | - daliShader.registerAnimatedProperty(name, metaData.default); | |
| 6309 | - } | |
| 6310 | - } | |
| 6311 | - | |
| 6312 | - if(daliShader) { | |
| 6313 | - this.shadersCreated[name] = data; | |
| 6314 | - this.shadersCreated[name].daliShader = daliShader; | |
| 6315 | - } | |
| 6316 | - ret = daliShader; | |
| 6317 | - } else { | |
| 6318 | - console.log("Requested shader could not be compiled:" + name); | |
| 6319 | - } | |
| 6320 | - | |
| 6321 | - return ret; | |
| 6322 | - } | |
| 6323 | -}; | |
| 6324 | - | |
| 6325 | -/** | |
| 6326 | - * Get info for a shader. See getInfo() | |
| 6327 | - * | |
| 6328 | - * @return {Object} dali.Shader | |
| 6329 | - */ | |
| 6330 | - | |
| 6331 | -UIShaderTab.prototype.getShaderInfo = function(name) { | |
| 6332 | - "use strict"; | |
| 6333 | - var data = database.readShader(name); | |
| 6334 | - return this.getInfo(data); | |
| 6335 | -}; | |
| 6336 | - | |
| 6337 | -/** | |
| 6338 | - * Rebuild UI tab drop down selection. | |
| 6339 | - * | |
| 6340 | - * @param {Object} Database | |
| 6341 | - */ | |
| 6342 | -UIShaderTab.prototype.rebuildDropdown = function(db) { | |
| 6343 | - "use strict"; | |
| 6344 | - rebuildDropdown( document.getElementById("shaderDropDown"), | |
| 6345 | - db, | |
| 6346 | - "shaders", | |
| 6347 | - function(name) { | |
| 6348 | - return ["javascript:uiShaderTab.loadShader(\"" + name + "\")", | |
| 6349 | - name]; | |
| 6350 | - } | |
| 6351 | - ); | |
| 6352 | -}; | |
| 6353 | - | |
| 6354 | - | |
| 6355 | -/** | |
| 6356 | - * Get the UI tab data with vertex/fragment strings. | |
| 6357 | - * | |
| 6358 | - * @return {Object} shader data object | |
| 6359 | - */ | |
| 6360 | -UIShaderTab.prototype.getData = function() { | |
| 6361 | - "use strict"; | |
| 6362 | - var e = ace.edit("editorVertex"); | |
| 6363 | - var ret = {}; | |
| 6364 | - ret.name = $("#textShaderName").text().substr(this.bufferPrepend.length); | |
| 6365 | - ret.vertex = native2ascii(e.getSession().getValue()); | |
| 6366 | - e = ace.edit("editorFragment"); | |
| 6367 | - ret.fragment = native2ascii(e.getSession().getValue()); | |
| 6368 | - | |
| 6369 | - ret.hints = ""; | |
| 6370 | - if( $("#requiresSelfDepthTest")[0].checked ) { | |
| 6371 | - ret.hints += " requiresSelfDepthTest"; | |
| 6372 | - } | |
| 6373 | - if( $("#outputIsTransparent")[0].checked ) { | |
| 6374 | - ret.hints += " outputIsTransparent"; | |
| 6375 | - } | |
| 6376 | - if( $("#outputIsOpaque")[0].checked ) { | |
| 6377 | - ret.hints += " outputIsOpaque"; | |
| 6378 | - } | |
| 6379 | - if( $("#modifiesGeometry")[0].checked ) { | |
| 6380 | - ret.hints += " modifiesGeometry"; | |
| 6381 | - } | |
| 6382 | - | |
| 6383 | - return ret; | |
| 6384 | -}; | |
| 6385 | - | |
| 6386 | -/** | |
| 6387 | - * Get dali shader hints from hints string. | |
| 6388 | - * | |
| 6389 | - * @param {string} hints string (space separated) | |
| 6390 | - * @return {integer} or'd hints to pass to Dali | |
| 6391 | - */ | |
| 6392 | -UIShaderTab.prototype.getDaliShaderHints = function(hintsString) { | |
| 6393 | - "use strict"; | |
| 6394 | - var ret = 0; | |
| 6395 | - | |
| 6396 | - if(hintsString.search("requiresSelfDepthTest") >= 0) { | |
| 6397 | - ret += dali.ShaderHints.REQUIRES_SELF_DEPTH_TEST; | |
| 6398 | - } | |
| 6399 | - if(hintsString.search("outputIsTransparent") >= 0) { | |
| 6400 | - ret += dali.ShaderHints.OUTPUT_IS_TRANSPARENT; | |
| 6401 | - } | |
| 6402 | - if(hintsString.search("outputIsOpaque") >= 0) { | |
| 6403 | - ret += dali.ShaderHints.OUTPUT_IS_OPAQUE; | |
| 6404 | - } | |
| 6405 | - if(hintsString.search("modifiesGeometry") >= 0) { | |
| 6406 | - ret += dali.ShaderHints.MODIFIES_GEOMETRY; | |
| 6407 | - } | |
| 6408 | - return ret; | |
| 6409 | -}; | |
| 6410 | - | |
| 6411 | -/** | |
| 6412 | - * Get information on a shader | |
| 6413 | - * If hasError==true then attributes etc will be empty. ie it must compile. | |
| 6414 | - * | |
| 6415 | - * Compile the shader with webGL. Query webGL for meta data. | |
| 6416 | - * | |
| 6417 | - * @param {object} data object. {vertex:"", fragment:""} | |
| 6418 | - * @return {object} info metadata object | |
| 6419 | - * // var info = { | |
| 6420 | - * // attributes: [], | |
| 6421 | - * // uniforms: [], | |
| 6422 | - * // attributeCount: 0, | |
| 6423 | - * // uniformCount: 0, | |
| 6424 | - * // hasError: false, // compiles without error | |
| 6425 | - * // vertexError: "", | |
| 6426 | - * // fragmentError: "", | |
| 6427 | - * // linkError: "" | |
| 6428 | - * // }; | |
| 6429 | - */ | |
| 6430 | - | |
| 6431 | - | |
| 6432 | -// uniform vec3 uMe; // gui:number, min:0, max:1, default: 0.5 | |
| 6433 | -// uniform vec3 uMe; // gui:slider, min:0, max:1, default: 0.5 | |
| 6434 | -// uniform vec3 uMe; // gui:color, min:[0,0,0,0] max:[1,1,1,1], default: [0,0,0,1] | |
| 6435 | - | |
| 6436 | -UIShaderTab.prototype.getInfo = function(data) { | |
| 6437 | - "use strict"; | |
| 6438 | - | |
| 6439 | - var canvas = document.getElementById("canvas"); | |
| 6440 | - | |
| 6441 | - var info = new dali.ShaderInfo(); | |
| 6442 | - | |
| 6443 | - return info.fromCompilation(canvas.getContext("webgl"), | |
| 6444 | - data.vertex, | |
| 6445 | - data.fragment); | |
| 6446 | -}; | |
| 6447 | - | |
| 6448 | -/** | |
| 6449 | - * Check a shader can compile. Shader given as data object with vertex/fragment buffers. | |
| 6450 | - * | |
| 6451 | - * Compile the shader with webGL as a preprocess step to giving it to Dali. | |
| 6452 | - * | |
| 6453 | - * @param {string} shader buffer name | |
| 6454 | - * @return {Boolean} true if the shader compiles ok. | |
| 6455 | - */ | |
| 6456 | -UIShaderTab.prototype.isCompilable = function(data) { | |
| 6457 | - "use strict"; | |
| 6458 | - var info = this.getInfo(data); | |
| 6459 | - return !info.hasError; | |
| 6460 | -}; | |
| 6461 | - | |
| 6462 | - | |
| 6463 | -/** | |
| 6464 | - * Check the shader in the UI tab can compile and if so update the saved dali.Shader object. | |
| 6465 | - * (Does not create the dali.Shader object) | |
| 6466 | - * | |
| 6467 | - * For use on an event for continuous shader checking. | |
| 6468 | - * | |
| 6469 | - * @param {string} shader buffer name | |
| 6470 | - * @return {Object} dali.Shader | |
| 6471 | - */ | |
| 6472 | -UIShaderTab.prototype.checkAndUpdateShader = function() { | |
| 6473 | - "use strict"; | |
| 6474 | - if(this.inhibitCheckAndUpdateShader) { | |
| 6475 | - return; | |
| 6476 | - } | |
| 6477 | - | |
| 6478 | - var options = this.getData(); | |
| 6479 | - | |
| 6480 | - var info = this.getInfo(options); | |
| 6481 | - | |
| 6482 | - if(!info.hasError) { | |
| 6483 | - if( options.name in this.shadersCreated ) { | |
| 6484 | - if("daliShader" in this.shadersCreated[options.name]) { | |
| 6485 | - // setting shader.program= doesn't seem to recompile the shader? | |
| 6486 | - // this.shadersCreated[options.name].daliShader.delete(); no delete; could be held elsewhere | |
| 6487 | - delete this.shadersCreated[options.name]; | |
| 6488 | - } | |
| 6489 | - } | |
| 6490 | - } | |
| 6491 | - | |
| 6492 | - var vertexPrepend = ""; | |
| 6493 | - var fragmentPrepend = ""; | |
| 6494 | - | |
| 6495 | - var errors = ""; | |
| 6496 | - var count; | |
| 6497 | - var editor; | |
| 6498 | - var description; | |
| 6499 | - var col; | |
| 6500 | - var line; | |
| 6501 | - var i; | |
| 6502 | - | |
| 6503 | - var textShaderErrors = $("#textShaderErrors"); | |
| 6504 | - | |
| 6505 | - textShaderErrors.value = ""; | |
| 6506 | - | |
| 6507 | - editor = ace.edit("editorVertex"); | |
| 6508 | - if (info.hasError && info.vertexError) { | |
| 6509 | - editor.getSession().setOption("useWorker", false); | |
| 6510 | - textShaderErrors.value = "VERTEX:\n" + info.vertexError; | |
| 6511 | - errors = info.vertexError.split("\n"); | |
| 6512 | - count = vertexPrepend.split("\n").length; | |
| 6513 | - for(i = 0; i < errors.length; i++) { | |
| 6514 | - if(errors[i]) { | |
| 6515 | - description = errors[i].split(":"); | |
| 6516 | - col = Number(description[1]); | |
| 6517 | - try { | |
| 6518 | - line = Number(description[2]); | |
| 6519 | - } catch(e) { | |
| 6520 | - line = "unknown"; | |
| 6521 | - } | |
| 6522 | - editor.getSession().setAnnotations([{row: line - count, column: col, text: errors[i], type: "error"}]); | |
| 6523 | - } | |
| 6524 | - } | |
| 6525 | - } else { | |
| 6526 | - editor.getSession().setOption("useWorker", true); | |
| 6527 | - editor.getSession().setAnnotations([]); | |
| 6528 | - } | |
| 6529 | - | |
| 6530 | - editor = ace.edit("editorFragment"); | |
| 6531 | - if (info.hasError && info.fragmentError) { | |
| 6532 | - editor.getSession().setOption("useWorker", false); | |
| 6533 | - textShaderErrors.value += "FRAGMENT:\n" + info.fragmentError; | |
| 6534 | - errors = info.fragmentError.split("\n"); | |
| 6535 | - count = fragmentPrepend.split("\n").length; | |
| 6536 | - for(i = 0; i < errors.length; i++) { | |
| 6537 | - if(errors[i]) { | |
| 6538 | - description = errors[i].split(":"); | |
| 6539 | - col = Number(description[1]); | |
| 6540 | - try { | |
| 6541 | - line = Number(description[2]); | |
| 6542 | - } catch(e) { | |
| 6543 | - line = "unknown"; | |
| 6544 | - } | |
| 6545 | - editor.getSession().setAnnotations([{row: line - count, column: col, text: errors[i], type: "error"}]); | |
| 6546 | - } | |
| 6547 | - } | |
| 6548 | - } else { | |
| 6549 | - editor.getSession().setOption("useWorker", true); | |
| 6550 | - editor.getSession().setAnnotations([]); | |
| 6551 | - } | |
| 6552 | - | |
| 6553 | - if(!info.hasError) { | |
| 6554 | - database.writeShader(options); | |
| 6555 | - } | |
| 6556 | - | |
| 6557 | -}; | |
| 6558 | - | |
| 6559 | - | |
| 6560 | -UIShaderTab.prototype.showModalC = function() { | |
| 6561 | - "use strict"; | |
| 6562 | - var i; | |
| 6563 | - var info = this.getData(); | |
| 6564 | - | |
| 6565 | - var data = "#define MAKE_STRING(A)#A\n\n" + | |
| 6566 | - "std::string vertexShader = MAKE_STRING(\n"; | |
| 6567 | - | |
| 6568 | - var lines = info.vertex.split("\n"); | |
| 6569 | - for(i = 0; i < lines.length; i++) { | |
| 6570 | - data += lines[i] + "\n"; | |
| 6571 | - } | |
| 6572 | - data += ");\n\n"; | |
| 6573 | - | |
| 6574 | - data += "std::string fragShader = MAKE_STRING(\n"; | |
| 6575 | - | |
| 6576 | - lines = info.fragment.split("\n"); | |
| 6577 | - for(i = 0; i < lines.length; i++) { | |
| 6578 | - data += lines[i] + "\n"; | |
| 6579 | - } | |
| 6580 | - data += ");\n\n"; | |
| 6581 | - | |
| 6582 | - data += "ShaderEffect shaderEffect;\n" + | |
| 6583 | - "shaderEffect = ShaderEffect::New( vertexShader, fragmentShader,\n" + | |
| 6584 | - " ShaderEffect::ShaderHint( " + info.hints + " ) )\n"; | |
| 6585 | - | |
| 6586 | - data = data.replace(/<([^ ]*)/g, "< $1"); // for loops are interpreted by browser as tags and dont print? | |
| 6587 | - | |
| 6588 | - uiApp.codeInformationBox( data ); | |
| 6589 | - | |
| 6590 | - // data = data.replace(/</g, "<"); | |
| 6591 | - // data = data.replace(/>/g, ">"); | |
| 6592 | - | |
| 6593 | - // var myWindow = window.open("data:text/html," + encodeURIComponent(data)); | |
| 6594 | - // // "_blank"); // , "width=00,height=100"); | |
| 6595 | - // myWindow.focus(); | |
| 6596 | - | |
| 6597 | -}; | |
| 6598 | - | |
| 6599 | -UIShaderTab.prototype.showModalJS = function() { | |
| 6600 | - "use strict"; | |
| 6601 | - var i; | |
| 6602 | - var info = this.getData(); | |
| 6603 | - | |
| 6604 | - var data = "var shaderOptions = {vertex:\n"; | |
| 6605 | - | |
| 6606 | - var lines = info.vertex.split("\n"); | |
| 6607 | - for(i = 0; i < lines.length; i++) { | |
| 6608 | - data += " \"" + lines[i] + "\\n\" +\n"; | |
| 6609 | - } | |
| 6610 | - data += " \"\",\n"; | |
| 6611 | - | |
| 6612 | - data += " fragment:\n"; | |
| 6613 | - lines = info.fragment.split("\n"); | |
| 6614 | - for(i = 0; i < lines.length; i++) { | |
| 6615 | - data += " \"" + lines[i] + "\\n\" +\n"; | |
| 6616 | - } | |
| 6617 | - data += " \"\",\n"; | |
| 6618 | - | |
| 6619 | - data += " geometryType: \"" + info.geometryType + "\",\n"; | |
| 6620 | - data += " geometryHints: \"" + info.geometryHints + "\"\n"; | |
| 6621 | - data += " };\n"; | |
| 6622 | - | |
| 6623 | - data = data.replace(/<([^ ]*)/g, "< $1"); // for loops are interpreted by browser as tags and dont print? | |
| 6624 | - // data = data.replace(/</g, "<"); | |
| 6625 | - // data = data.replace(/>/g, ">"); | |
| 6626 | - | |
| 6627 | - // var myWindow = window.open("data:text/html," + encodeURIComponent(data)); | |
| 6628 | - // // "_blank"); // , "width=00,height=100"); | |
| 6629 | - // myWindow.focus(); | |
| 6630 | - | |
| 6631 | - var modalBody = $("#modalCodeInfoBody")[0]; | |
| 6632 | - removeAllChildren(modalBody); | |
| 6633 | - modalBody.innerHTML = "<code><pre>" + data + "</pre></code>"; | |
| 6634 | - $("#modalCodeInfo").modal("show"); | |
| 6635 | - | |
| 6636 | -}; | |
| 6637 | - | |
| 6638 | -UIShaderTab.prototype.showModalJSON = function() { | |
| 6639 | - "use strict"; | |
| 6640 | - var info = this.getData(); | |
| 6641 | - | |
| 6642 | - var hints = ""; // tbd | |
| 6643 | - | |
| 6644 | - var vertex = info.vertex.replace(/\n/g, "\\n"); | |
| 6645 | - var fragment = info.fragment.replace(/\n/g, "\\n"); | |
| 6646 | - | |
| 6647 | - var data = "{\"shader-effects\": {\n" + | |
| 6648 | - " \"" + "effect" + "\": {\n" + | |
| 6649 | - " \"program\": {\n" + | |
| 6650 | - " \"vertexPrefix\": \"\",\n" + | |
| 6651 | - " \"vertex\": \"" + vertex + "\",\n" + | |
| 6652 | - " \"fragmentPrefix\": \"\",\n" + | |
| 6653 | - " \"fragment\": \"" + fragment + "\"\n" + | |
| 6654 | - " },\n" + | |
| 6655 | - " \"geometry-hints\": \"" + hints + "\",\n" + | |
| 6656 | - " \"grid-density\": \"" + "0" + "\",\n" + | |
| 6657 | - " \"image\": {\n" + | |
| 6658 | - " \"filename\": \"\"\n" + | |
| 6659 | - " }\n" + | |
| 6660 | - " }\n" + | |
| 6661 | - " }\n" + | |
| 6662 | - "}\n"; | |
| 6663 | - | |
| 6664 | - data = data.replace(/<([^ ]*)/g, "< $1"); // for loops are interpreted by browser as tags and dont print? | |
| 6665 | - | |
| 6666 | - uiApp.codeInformationBox( data ); | |
| 6667 | - | |
| 6668 | -}; | |
| 6669 | - | |
| 6670 | -document.getElementById("btnRewriteDatabase").addEventListener("click", function(// e | |
| 6671 | -) { | |
| 6672 | - "use strict"; | |
| 6673 | - | |
| 6674 | - database.delete( | |
| 6675 | - function() { | |
| 6676 | - consoleLogSuccess("database.delete")(); | |
| 6677 | - window.setTimeout(function () { | |
| 6678 | - window.location.reload(true); // forces a reload from the server | |
| 6679 | - }, 500); | |
| 6680 | - }, | |
| 6681 | - consoleLogErrorEvent, // fail | |
| 6682 | - consoleLogErrorEvent // blocked | |
| 6683 | - ); | |
| 6684 | - | |
| 6685 | -}); | |
| 6686 | - | |
| 6687 | - | |
| 6688 | -window.setTimeout(initDB, 1000); | |
| 6689 | - | |
| 6690 | - | |
| 6691 | -function updateStatistics(eventHandler){ | |
| 6692 | - "use strict"; | |
| 6693 | - | |
| 6694 | - var elem = $("#statistics")[0]; | |
| 6695 | - | |
| 6696 | - var actor = eventHandler.touchedActor; | |
| 6697 | - | |
| 6698 | - var usedRootLayer = false; | |
| 6699 | - | |
| 6700 | - if(!actor) { | |
| 6701 | - usedRootLayer = true; | |
| 6702 | - actor = dali.stage.getRootLayer(); | |
| 6703 | - } | |
| 6704 | - | |
| 6705 | - var rt = dali.stage.getRenderTaskList().getTask(0); | |
| 6706 | - | |
| 6707 | - var xy; | |
| 6708 | - try { | |
| 6709 | - xy = dali.screenToLocal(eventHandler.mouseX, eventHandler.mouseY, | |
| 6710 | - actor, rt); | |
| 6711 | - } catch(err) { | |
| 6712 | - xy = [0, 0]; | |
| 6713 | - } | |
| 6714 | - | |
| 6715 | - var screenxy = dali.worldToScreen(actor.position, rt); | |
| 6716 | - | |
| 6717 | - var name = "Actor"; | |
| 6718 | - | |
| 6719 | - if(usedRootLayer) { | |
| 6720 | - name = "Root Actor"; | |
| 6721 | - } | |
| 6722 | - | |
| 6723 | - var prec = 3; | |
| 6724 | - var px = "none"; | |
| 6725 | - var py = "none"; | |
| 6726 | - if(eventHandler.mouseDownPosition) { | |
| 6727 | - px = eventHandler.mouseDownPosition[0].toFixed(prec); | |
| 6728 | - py = eventHandler.mouseDownPosition[1].toFixed(prec); | |
| 6729 | - } | |
| 6730 | - | |
| 6731 | - elem.innerHTML = name + " (" + actor.getId() + ") '" + actor.name + "'" + "<br>" + | |
| 6732 | - "Screen:" + eventHandler.mouseX.toFixed(prec) + "," + eventHandler.mouseY.toFixed(prec) + "<br>" + | |
| 6733 | - name + " Screen To Local:" + xy[0].toFixed(prec) + "," + xy[1].toFixed(prec) + "<br>" + | |
| 6734 | - name + " To Screen:" + screenxy[0].toFixed(prec) + "," + screenxy[1].toFixed(prec) + "<br>" + | |
| 6735 | - name + " Drag dx/dy:" + eventHandler.dragDx.toFixed(prec) + "," + eventHandler.dragDy.toFixed(prec) + "<br>" + | |
| 6736 | - name + " pos:" + actor.position + "<br>"+ | |
| 6737 | - name + " pos:" + px + "," + py + "<br>"; | |
| 6738 | - | |
| 6739 | - if(usedRootLayer) { // dont delete eventHandler object | |
| 6740 | - actor.delete(); // wrapper | |
| 6741 | - } | |
| 6742 | - | |
| 6743 | - rt.delete(); // wrapper | |
| 6744 | - | |
| 6745 | -} | |
| 6746 | - | |
| 6747 | - | |
| 6748 | -$(".btn-toggle").click(function() { | |
| 6749 | - "use strict"; | |
| 6750 | - $(this).find(".btn").toggleClass("active"); | |
| 6751 | - | |
| 6752 | - if($(this).find(".btn-primary").size() > 0) { | |
| 6753 | - $(this).find(".btn").toggleClass("btn-primary"); | |
| 6754 | - } | |
| 6755 | - | |
| 6756 | - $(this).find(".btn").toggleClass("btn-default"); | |
| 6757 | - | |
| 6758 | - if(this.id === "loop") { | |
| 6759 | - var looping = $(this).find("#loopOn").hasClass("active"); | |
| 6760 | - animationList[animationSelectionIndex].looping = looping; | |
| 6761 | - animationList[animationSelectionIndex].dirtyData = true; | |
| 6762 | - } | |
| 6763 | - | |
| 6764 | - if(this.id === "endAction") { | |
| 6765 | - var bake = $(this).find("#endBake").hasClass("active"); | |
| 6766 | - if(bake) { | |
| 6767 | - animationList[animationSelectionIndex].endAction = "Bake"; | |
| 6768 | - } else { | |
| 6769 | - animationList[animationSelectionIndex].endAction = "Discard"; | |
| 6770 | - } | |
| 6771 | - animationList[animationSelectionIndex].dirtyData = true; | |
| 6772 | - } | |
| 6773 | - | |
| 6774 | -}); | |
| 6775 | - | |
| 6776 | -//------------------------------------------------------------------------------ | |
| 6777 | -// | |
| 6778 | -// Database; access to browser indexed db | |
| 6779 | -// | |
| 6780 | -//------------------------------------------------------------------------------ | |
| 6781 | -function Database() { | |
| 6782 | - "use strict"; | |
| 6783 | - this.currentVersion = 1; | |
| 6784 | - this.name = "dalitoy"; | |
| 6785 | - this.data = {}; | |
| 6786 | - var self = this; | |
| 6787 | - | |
| 6788 | - this.copyDBStore = function(db, dbStoreName, andClose) { | |
| 6789 | - var tr = db.transaction([dbStoreName], "readonly"); | |
| 6790 | - var store = tr.objectStore(dbStoreName); | |
| 6791 | - var cursor = store.openCursor(); | |
| 6792 | - self.data[dbStoreName] = {}; | |
| 6793 | - cursor.onsuccess = function(e) { | |
| 6794 | - var res = e.target.result; // another cursor | |
| 6795 | - if(res) { | |
| 6796 | - self.data[dbStoreName][res.key] = res.value; | |
| 6797 | - res.continue(); | |
| 6798 | - } else { | |
| 6799 | - if(andClose) { | |
| 6800 | - db.close(); | |
| 6801 | - } | |
| 6802 | - } | |
| 6803 | - }; | |
| 6804 | - cursor.onerror = consoleLogErrorEvent; | |
| 6805 | - }; | |
| 6806 | - | |
| 6807 | - this.initializeData = function(db) { | |
| 6808 | - self.copyDBStore(db, "javascript"); | |
| 6809 | - self.copyDBStore(db, "images"); | |
| 6810 | - self.copyDBStore(db, "shaders", true); // true to close db (last copy) | |
| 6811 | - }; | |
| 6812 | - | |
| 6813 | - this.init(); | |
| 6814 | -} | |
| 6815 | - | |
| 6816 | -Database.prototype.open = function() { | |
| 6817 | - "use strict"; | |
| 6818 | - return window.indexedDB.open(this.name, this.currentVersion); | |
| 6819 | -}; | |
| 6820 | - | |
| 6821 | -Database.prototype.delete = function(onsuccess, onerror, onblocked) { | |
| 6822 | - "use strict"; | |
| 6823 | - var req = window.indexedDB.deleteDatabase(this.name); | |
| 6824 | - req.onsuccess = onsuccess; | |
| 6825 | - req.onerror = onerror; | |
| 6826 | - req.onblocked = onblocked; | |
| 6827 | -}; | |
| 6828 | - | |
| 6829 | - | |
| 6830 | -Database.prototype.upgrade = function(db, oldVersion) { | |
| 6831 | - // force upgrade | |
| 6832 | - "use strict"; | |
| 6833 | - if (oldVersion < 1) { | |
| 6834 | - // Version 1 is the first version of the database. | |
| 6835 | - var store = db.createObjectStore("shaders", {keyPath: "name"}); | |
| 6836 | - var i; | |
| 6837 | - for(i = 0; i < shaderSources.length; i++) { | |
| 6838 | - store.put( shaderSources[i] ); | |
| 6839 | - } | |
| 6840 | - | |
| 6841 | - store = db.createObjectStore("javascript", {keyPath: "name"}); | |
| 6842 | - for(i = 0; i < javascriptSources.length; i++) { | |
| 6843 | - store.put( javascriptSources[i] ); | |
| 6844 | - } | |
| 6845 | - | |
| 6846 | - store = db.createObjectStore("images"); | |
| 6847 | - | |
| 6848 | - // default images in html page | |
| 6849 | - store.put( getStockImageData(1), "girl1" ); | |
| 6850 | - store.put( getStockImageData(2), "funnyface" ); | |
| 6851 | - store.put( getStockImageData(3), "ducks" ); | |
| 6852 | - store.put( getStockImageData(4), "field" ); | |
| 6853 | - } | |
| 6854 | -}; | |
| 6855 | - | |
| 6856 | -Database.prototype.init = function() { | |
| 6857 | - "use strict"; | |
| 6858 | - var self = this; | |
| 6859 | - | |
| 6860 | - if("indexedDB" in window) { | |
| 6861 | - var openRequest = this.open(); | |
| 6862 | - | |
| 6863 | - openRequest.onupgradeneeded = function(event) { | |
| 6864 | - var db = event.target.result; | |
| 6865 | - database.upgrade(db, event.oldVersion); | |
| 6866 | - //self.initializeData(db); | |
| 6867 | - }; | |
| 6868 | - | |
| 6869 | - openRequest.onsuccess = function(event) { | |
| 6870 | - var db = event.target.result; | |
| 6871 | - self.initializeData(db); | |
| 6872 | - }; | |
| 6873 | - | |
| 6874 | - openRequest.onerror = consoleLogErrorEvent; | |
| 6875 | - | |
| 6876 | - } | |
| 6877 | - | |
| 6878 | -}; | |
| 6879 | - | |
| 6880 | -Database.prototype.initTabs = function(jstab, imagetab, shadertab) { | |
| 6881 | - "use strict"; | |
| 6882 | - jstab.rebuildDropdown(this); | |
| 6883 | - imagetab.rebuildDropdown(this); | |
| 6884 | - shadertab.rebuildDropdown(this); | |
| 6885 | -}; | |
| 6886 | - | |
| 6887 | -Database.prototype.writeJavascript = function(data, callback) { | |
| 6888 | - "use strict"; | |
| 6889 | - | |
| 6890 | - this.data.javascript[data.name] = data; | |
| 6891 | - | |
| 6892 | - var openRequest = this.open(); | |
| 6893 | - var self = this; | |
| 6894 | - openRequest.onsuccess = function(event) { | |
| 6895 | - var db = event.target.result; | |
| 6896 | - var tr = db.transaction(["javascript"], "readwrite"); | |
| 6897 | - var store = tr.objectStore("javascript"); | |
| 6898 | - | |
| 6899 | - var ob = store.put(data); | |
| 6900 | - self.data.javascript[data.name] = data; | |
| 6901 | - | |
| 6902 | - ob.onsuccess = callback; | |
| 6903 | - // ob.onerror = errorCallback; | |
| 6904 | - ob.onerror = consoleLogErrorEvent; | |
| 6905 | - | |
| 6906 | - db.close(); | |
| 6907 | - }; | |
| 6908 | - | |
| 6909 | - openRequest.onerror = consoleLogErrorEvent; | |
| 6910 | - | |
| 6911 | -}; | |
| 6912 | - | |
| 6913 | -Database.prototype.readJavascript = function(name) { | |
| 6914 | - "use strict"; | |
| 6915 | - return this.data.javascript[name]; | |
| 6916 | -}; | |
| 6917 | - | |
| 6918 | -Database.prototype.readJavascriptNames = function() { | |
| 6919 | - "use strict"; | |
| 6920 | - return this.getKeys("javascript"); | |
| 6921 | -}; | |
| 6922 | - | |
| 6923 | -Database.prototype.readKeys = function(dbStoreName, callback) { | |
| 6924 | - "use strict"; | |
| 6925 | - | |
| 6926 | - var openRequest = database.open(); | |
| 6927 | - | |
| 6928 | - openRequest.onsuccess = function(event) { | |
| 6929 | - var db = event.target.result; | |
| 6930 | - var tr = db.transaction([dbStoreName], "readonly"); | |
| 6931 | - var store = tr.objectStore(dbStoreName); | |
| 6932 | - var cursor = store.openCursor(); | |
| 6933 | - var keys = []; | |
| 6934 | - cursor.onsuccess = function(e) { | |
| 6935 | - var res = e.target.result; // another cursor | |
| 6936 | - if(res) { | |
| 6937 | - keys.push(res.key); | |
| 6938 | - res.continue(); | |
| 6939 | - } else { | |
| 6940 | - callback(keys); | |
| 6941 | - } | |
| 6942 | - }; | |
| 6943 | - cursor.onerror = consoleLogErrorEvent; | |
| 6944 | - db.close(); | |
| 6945 | - }; | |
| 6946 | - | |
| 6947 | -}; | |
| 6948 | - | |
| 6949 | -Database.prototype.getKeys = function(dbStoreName) { | |
| 6950 | - "use strict"; | |
| 6951 | - var l = []; | |
| 6952 | - var o = this.data[dbStoreName]; | |
| 6953 | - for(var name in o) { | |
| 6954 | - l.push(name); | |
| 6955 | - } | |
| 6956 | - return l; | |
| 6957 | -}; | |
| 6958 | - | |
| 6959 | -Database.prototype.writeShader = function(data) { | |
| 6960 | - "use strict"; | |
| 6961 | - assert(data.name); | |
| 6962 | - | |
| 6963 | - this.data.shaders[data.name] = data; | |
| 6964 | - | |
| 6965 | - // write the indexDB too | |
| 6966 | - var openRequest = this.open(); | |
| 6967 | - | |
| 6968 | - openRequest.onsuccess = function(event) { | |
| 6969 | - var db = event.target.result; | |
| 6970 | - var tr = db.transaction(["shaders"], "readwrite"); | |
| 6971 | - var store = tr.objectStore("shaders"); | |
| 6972 | - | |
| 6973 | - var ob = store.put(data); | |
| 6974 | - | |
| 6975 | - //ob.onsuccess = callback; | |
| 6976 | - ob.onerror = consoleLogErrorEvent; | |
| 6977 | - | |
| 6978 | - db.close(); | |
| 6979 | - }; | |
| 6980 | - | |
| 6981 | - openRequest.onerror = consoleLogErrorEvent; | |
| 6982 | - | |
| 6983 | -}; | |
| 6984 | - | |
| 6985 | -Database.prototype.readShader = function(name) { | |
| 6986 | - "use strict"; | |
| 6987 | - return this.data.shaders[name]; | |
| 6988 | -}; | |
| 6989 | - | |
| 6990 | -Database.prototype.readShaderNames = function() { | |
| 6991 | - "use strict"; | |
| 6992 | - return this.getKeys("shaders"); | |
| 6993 | -}; | |
| 6994 | - | |
| 6995 | -Database.prototype.readObjectStore = function(objectStoreName, recordName, callback, errorCallback) { | |
| 6996 | - "use strict"; | |
| 6997 | - var openRequest = window.indexedDB.open(this.name, this.currentVersion); | |
| 6998 | - | |
| 6999 | - openRequest.onsuccess = function(event) { | |
| 7000 | - var db = event.target.result; | |
| 7001 | - | |
| 7002 | - var transaction = db.transaction([objectStoreName], "readonly"); | |
| 7003 | - var objectStore = transaction.objectStore(objectStoreName); | |
| 7004 | - | |
| 7005 | - //x is some value | |
| 7006 | - var ob = objectStore.get(recordName); | |
| 7007 | - | |
| 7008 | - ob.onsuccess = function(e) { | |
| 7009 | - // read with undefined is still a success (should probably do this with cursor?) | |
| 7010 | - if(e.target.result) { | |
| 7011 | - callback(e.target.result); | |
| 7012 | - } else { | |
| 7013 | - errorCallback(); | |
| 7014 | - } | |
| 7015 | - }; | |
| 7016 | - | |
| 7017 | - ob.onerror = errorCallback; | |
| 7018 | - | |
| 7019 | - db.close(); | |
| 7020 | - }; | |
| 7021 | - | |
| 7022 | - openRequest.onerror = errorCallback; | |
| 7023 | - | |
| 7024 | -}; | |
| 7025 | - | |
| 7026 | -Database.prototype.writeImage = function(name, data) { | |
| 7027 | - "use strict"; | |
| 7028 | - | |
| 7029 | - this.data.images[name] = data; | |
| 7030 | - | |
| 7031 | - var openRequest = this.open(); | |
| 7032 | - | |
| 7033 | - openRequest.onsuccess = function(event) { | |
| 7034 | - var db = event.target.result; | |
| 7035 | - var tr = db.transaction(["images"], "readwrite"); | |
| 7036 | - var store = tr.objectStore("images"); | |
| 7037 | - | |
| 7038 | - var ob = store.put(data, name); | |
| 7039 | - | |
| 7040 | - //ob.onsuccess = callback; | |
| 7041 | - ob.onerror = consoleLogErrorEvent; | |
| 7042 | - | |
| 7043 | - db.close(); | |
| 7044 | - }; | |
| 7045 | - | |
| 7046 | - openRequest.onerror = consoleLogErrorEvent; | |
| 7047 | - | |
| 7048 | -}; | |
| 7049 | - | |
| 7050 | -Database.prototype.readImage = function(name) { | |
| 7051 | - "use strict"; | |
| 7052 | - return this.data.images[name]; | |
| 7053 | -}; | |
| 7054 | - | |
| 7055 | -Database.prototype.readImageNames = function() { | |
| 7056 | - "use strict"; | |
| 7057 | - return this.getKeys("images"); | |
| 7058 | -}; | |
| 7059 | - | |
| 7060 | -//------------------------------------------------------------------------------ | |
| 7061 | -// | |
| 7062 | -// app init functions | |
| 7063 | -// | |
| 7064 | -//------------------------------------------------------------------------------ | |
| 7065 | -function initDB() { | |
| 7066 | - "use strict"; | |
| 7067 | - database = new Database(); | |
| 7068 | - window.setTimeout(init, 500); | |
| 7069 | -} | |
| 7070 | - | |
| 7071 | -function init() { | |
| 7072 | - "use strict"; | |
| 7073 | - | |
| 7074 | - // var root = dali.stage.getRootLayer(); | |
| 7075 | - // root.name = "*" + root.name; // * at start means non selectable by convention | |
| 7076 | - // root.delete(); // wrapper | |
| 7077 | - | |
| 7078 | - // database = new Database(); | |
| 7079 | - | |
| 7080 | - test = new Test(); | |
| 7081 | - | |
| 7082 | - uiApp = new UIApp(); | |
| 7083 | - | |
| 7084 | - uiJavascriptTab = new UIJavascriptTab(); | |
| 7085 | - | |
| 7086 | - uiImageTab = new UIImageTab(); | |
| 7087 | - | |
| 7088 | - uiShaderTab = new UIShaderTab(); | |
| 7089 | - | |
| 7090 | - database.initTabs(uiJavascriptTab, uiImageTab, uiShaderTab); | |
| 7091 | - | |
| 7092 | - $("a[rel=popover]").tooltip(); | |
| 7093 | - | |
| 7094 | - Object.defineProperty(dali, "shader", { | |
| 7095 | - enumerable: true, | |
| 7096 | - configurable: false, | |
| 7097 | - get: function() { | |
| 7098 | - return getShader(); | |
| 7099 | - } | |
| 7100 | - }); | |
| 7101 | - | |
| 7102 | - Object.defineProperty(dali, "actor", { | |
| 7103 | - enumerable: true, | |
| 7104 | - configurable: false, | |
| 7105 | - get: function() { | |
| 7106 | - return getActor(); | |
| 7107 | - } | |
| 7108 | - }); | |
| 7109 | - | |
| 7110 | - Object.defineProperty(dali, "animation", { | |
| 7111 | - enumerable: true, | |
| 7112 | - configurable: false, | |
| 7113 | - get: function() { | |
| 7114 | - return getAnimation(); | |
| 7115 | - } | |
| 7116 | - }); | |
| 7117 | - | |
| 7118 | - eventHandler.handlersMouseMove.push(updateStatistics); | |
| 7119 | - | |
| 7120 | -} | |
| 7121 | - | |
| 7122 | -//////////////////////////////////////////////////////////////////////////////////////////////////// | |
| 7123 | - | |
| 7124 | -dali.postRenderFunction = undefined; |
emscripten-examples/install.sh deleted
examples/metaball-refrac/metaball-refrac-example.cpp