viewof gl = {
const canvas = DOM.canvas(width, width / 1.6);
const gl = canvas.value = canvas.getContext('webgl');
return canvas;
}
function initBuffers(gl) {
// Create a buffer for the square's positions.
const positionBuffer = gl.createBuffer();
// Select the positionBuffer as the one to apply buffer
// operations to from here out.
gl.bindBuffer(gl.ARRAY_BUFFER, positionBuffer);
// Now create an array of positions for the square.
const positions = [
1.0, 1.0,
-1.0, 1.0,
1.0, -1.0,
-1.0, -1.0,
];
// Now pass the list of positions into WebGL to build the
// shape. We do this by creating a Float32Array from the
// JavaScript array, then use it to fill the current buffer.
gl.bufferData(gl.ARRAY_BUFFER,
new Float32Array(positions),
gl.STATIC_DRAW);
return {
position: positionBuffer,
};
}
function drawScene(gl, programInfo, buffers) {
gl.clearColor(0.0, 0.0, 0.0, 1.0); // Clear to black, fully opaque
gl.clearDepth(1.0); // Clear everything
gl.enable(gl.DEPTH_TEST); // Enable depth testing
gl.depthFunc(gl.LEQUAL); // Near things obscure far things
// Clear the canvas before we start drawing on it.
gl.clear(gl.COLOR_BUFFER_BIT | gl.DEPTH_BUFFER_BIT);
// Create a perspective matrix, a special matrix that is
// used to simulate the distortion of perspective in a camera.
// Our field of view is 45 degrees, with a width/height
// ratio that matches the display size of the canvas
// and we only want to see objects between 0.1 units
// and 100 units away from the camera.
const fieldOfView = 45 * Math.PI / 180; // in radians
const aspect = 1.6;
const zNear = 0.1;
const zFar = 100.0;
const projectionMatrix = mat4.create();
// note: glmatrix.js always has the first argument
// as the destination to receive the result.
mat4.perspective(projectionMatrix,
fieldOfView,
aspect,
zNear,
zFar);
// Set the drawing position to the "identity" point, which is
// the center of the scene.
const modelViewMatrix = mat4.create();
// Now move the drawing position a bit to where we want to
// start drawing the square.
mat4.translate(modelViewMatrix, // destination matrix
modelViewMatrix, // matrix to translate
[-0.0, 0.0, -6.0]); // amount to translate
// Tell WebGL how to pull out the positions from the position
// buffer into the vertexPosition attribute.
{
const numComponents = 2;
const type = gl.FLOAT;
const normalize = false;
const stride = 0;
const offset = 0;
gl.bindBuffer(gl.ARRAY_BUFFER, buffers.position);
gl.vertexAttribPointer(
programInfo.attribLocations.vertexPosition,
numComponents,
type,
normalize,
stride,
offset);
gl.enableVertexAttribArray(
programInfo.attribLocations.vertexPosition);
}
// Tell WebGL to use our program when drawing
gl.useProgram(programInfo.program);
console.log('here');
// Set the shader uniforms
gl.uniformMatrix4fv(
programInfo.uniformLocations.projectionMatrix,
false, projectionMatrix);
gl.uniformMatrix4fv(
programInfo.uniformLocations.modelViewMatrix,
false, modelViewMatrix);
{
const offset = 0;
const vertexCount = 4;
gl.drawArrays(gl.TRIANGLE_STRIP, offset, vertexCount);
}
}
function initShaderProgram(gl, vsSource, fsSource) {
const vertexShader = loadShader(gl, gl.VERTEX_SHADER, vsSource);
const fragmentShader = loadShader(gl, gl.FRAGMENT_SHADER, fsSource);
// Create the shader program
const shaderProgram = gl.createProgram();
gl.attachShader(shaderProgram, vertexShader);
gl.attachShader(shaderProgram, fragmentShader);
gl.linkProgram(shaderProgram);
// If creating the shader program failed, alert
if (!gl.getProgramParameter(shaderProgram, gl.LINK_STATUS)) {
throw new Error(`Couldn't link shader`);
}
return shaderProgram;
}
function loadShader(gl, type, source) {
const shader = gl.createShader(type);
gl.shaderSource(shader, source);
gl.compileShader(shader);
if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {
gl.deleteShader(shader);
throw new Error(`Couldn't compile shader`);
}
return shader;
}
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
