mirror of
https://github.com/gchq/CyberChef.git
synced 2025-05-08 15:25:01 -04:00
add operation: generate spectrogram
This commit is contained in:
parent
1bc88728f0
commit
6ebbd15ab2
4 changed files with 349 additions and 1 deletions
28
package-lock.json
generated
28
package-lock.json
generated
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@ -35,6 +35,7 @@
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"d3": "7.8.2",
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"d3-hexbin": "^0.2.2",
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"diff": "^5.1.0",
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"dsp.js": "^1.0.1",
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"es6-promisify": "^7.0.0",
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"escodegen": "^2.0.0",
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"esprima": "^4.0.1",
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@ -89,6 +90,7 @@
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"unorm": "^1.6.0",
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"utf8": "^3.0.0",
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"vkbeautify": "^0.99.3",
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"wavefile": "^11.0.0",
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"xmldom": "^0.6.0",
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"xpath": "0.0.32",
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"xregexp": "^5.1.1",
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@ -5710,6 +5712,11 @@
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"node": ">=10"
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}
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},
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"node_modules/dsp.js": {
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"version": "1.0.1",
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"resolved": "https://registry.npmjs.org/dsp.js/-/dsp.js-1.0.1.tgz",
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"integrity": "sha512-5ols1j2i2tdbtd38DMR6xGSmE8dE/qFWgqrNN1ZNnIZnOEAFjzoVq5hM57nbQS9u0VmxqCUw8YccgsS9+zhtNg=="
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},
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"node_modules/duplexer": {
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"version": "0.1.2",
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"dev": true,
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@ -13079,6 +13086,17 @@
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"node": ">=10.13.0"
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}
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},
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"node_modules/wavefile": {
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"version": "11.0.0",
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"resolved": "https://registry.npmjs.org/wavefile/-/wavefile-11.0.0.tgz",
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"integrity": "sha512-/OBiAALgWU24IG7sC84cDO/KfFuvajWc5Uec0oV2zrpOOZZDgGdOwHwgEzOrwh8jkubBk7PtZfQBIcI1OaE5Ng==",
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"bin": {
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"wavefile": "bin/wavefile.js"
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},
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"engines": {
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"node": ">=8"
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}
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},
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"node_modules/wbuf": {
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"version": "1.7.3",
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"dev": true,
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@ -17733,6 +17751,11 @@
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"version": "10.0.0",
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"dev": true
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},
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"dsp.js": {
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"version": "1.0.1",
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"resolved": "https://registry.npmjs.org/dsp.js/-/dsp.js-1.0.1.tgz",
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"integrity": "sha512-5ols1j2i2tdbtd38DMR6xGSmE8dE/qFWgqrNN1ZNnIZnOEAFjzoVq5hM57nbQS9u0VmxqCUw8YccgsS9+zhtNg=="
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},
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"duplexer": {
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"version": "0.1.2",
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"dev": true
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@ -22722,6 +22745,11 @@
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"graceful-fs": "^4.1.2"
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}
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},
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"wavefile": {
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"version": "11.0.0",
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"resolved": "https://registry.npmjs.org/wavefile/-/wavefile-11.0.0.tgz",
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"integrity": "sha512-/OBiAALgWU24IG7sC84cDO/KfFuvajWc5Uec0oV2zrpOOZZDgGdOwHwgEzOrwh8jkubBk7PtZfQBIcI1OaE5Ng=="
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},
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"wbuf": {
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"version": "1.7.3",
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"dev": true,
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@ -117,6 +117,7 @@
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"d3": "7.8.2",
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"d3-hexbin": "^0.2.2",
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"diff": "^5.1.0",
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"dsp.js": "^1.0.1",
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"es6-promisify": "^7.0.0",
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"escodegen": "^2.0.0",
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"esprima": "^4.0.1",
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@ -171,6 +172,7 @@
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"unorm": "^1.6.0",
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"utf8": "^3.0.0",
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"vkbeautify": "^0.99.3",
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"wavefile": "^11.0.0",
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"xmldom": "^0.6.0",
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"xpath": "0.0.32",
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"xregexp": "^5.1.1",
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@ -477,7 +477,8 @@
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"Hex Density chart",
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"Scatter chart",
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"Series chart",
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"Heatmap chart"
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"Heatmap chart",
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"Generate Spectrogram"
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]
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},
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{
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317
src/core/operations/GenerateSpectrogram.mjs
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317
src/core/operations/GenerateSpectrogram.mjs
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/**
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* @author brun0ne [brunonblok@gmail.com]
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* @copyright Crown Copyright 2023
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* @license Apache-2.0
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*/
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import Operation from "../Operation.mjs";
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import OperationError from "../errors/OperationError.mjs";
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import Utils from "../Utils.mjs";
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import { isType, detectFileType } from "../lib/FileType.mjs";
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import jimp from "jimp";
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import {isWorkerEnvironment} from "../Utils.mjs";
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import { toBase64 } from "../lib/Base64.mjs";
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import * as wavefile from "wavefile";
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import { RFFT } from "dsp.js";
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/**
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* Generate Spectrogram operation
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*/
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class GenerateSpectrogram extends Operation {
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/**
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* GenerateSpectrogram constructor
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*/
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constructor() {
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super();
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this.name = "Generate Spectrogram";
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this.module = "Default";
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this.description = "Generates a spectrogram from a wave file";
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this.infoURL = "https://en.wikipedia.org/wiki/Spectrogram";
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this.inputType = "string";
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this.outputType = "byteArray";
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this.presentType = "html";
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this.args = [
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{
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"name": "Frame size",
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"type": "option",
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"value": [
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"256",
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"64",
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"128",
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"512",
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"1024",
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"2048"
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]
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},
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{
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"name": "Overlap",
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"type": "option",
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"value": [
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"0%",
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"50%"
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]
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},
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{
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"name": "Color scheme",
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"type": "option",
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"value": [
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"Green-Black",
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"Yellow-Blue",
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"Greyscale",
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"Neon"
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]
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},
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{
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"name": "Gain (dB)",
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"type": "number",
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"value": 0,
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"min": -100,
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"max": 100
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},
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{
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"name": "Channel",
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"type": "number",
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"value": 0,
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"min": 0
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},
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{
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"name": "Include axes",
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"type": "boolean",
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"value": true
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}
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];
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}
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/**
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* @param {string} input
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* @param {Object[]} args
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* @returns {byteArray} the sound file as bytes
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*/
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run(input, args) {
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input = Utils.strToByteArray(input);
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// Determine file type
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if (!isType(/^(audio)/, input)) {
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throw new OperationError("Invalid or unrecognised file type");
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}
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return input;
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}
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/**
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* Returns the spectrogram html
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* @param {array} array of arrays of samples
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* @param {number} sampleRate
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* @param {Object[]} args
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* @returns {string} HTML
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*/
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async getSpectrogram(sampleChannels, sampleRate, args) {
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/* args */
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const frameSize = parseInt(args[0]);
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const overlap = (parseInt(args[1]) / 100) * frameSize;
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const colorScheme = args[2];
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const gain = args[3];
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const channelNum = args[4];
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const include_axes = args[5];
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if (sampleChannels[channelNum] == null) {
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throw new OperationError(`Invalid channel number: ${channelNum}`);
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}
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const channel = sampleChannels[channelNum];
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const MAX_FREQ = sampleRate / 2;
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/* positions and sizes */
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let padding_left = 0;
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let padding_right = 0;
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let padding_bottom = 0;
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if (include_axes){
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padding_left = Math.log10(MAX_FREQ) * 10 + 10 * 3; // space for the text (10px per digit)
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padding_right = 50;
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padding_bottom = 20;
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}
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const width = channel.length / (frameSize - overlap);
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const height = frameSize / 2;
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const image_width = width + padding_left + padding_right;
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const image_height = height + padding_bottom;
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/* create an image */
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const image = new jimp(image_width, image_height, (err, image) => {});
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if (isWorkerEnvironment())
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self.sendStatusMessage("Generating a spectrogram from data...");
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function fill(rgba) {
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return function(x, y, idx) {
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this.bitmap.data[idx + 0] = rgba[0];
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this.bitmap.data[idx + 1] = rgba[1];
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this.bitmap.data[idx + 2] = rgba[2];
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this.bitmap.data[idx + 3] = rgba[3];
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}
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}
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/* fill with black */
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image.scan(0, 0, image.bitmap.width, image.bitmap.height, fill([0, 0, 0, 255]).bind(image));
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if (include_axes) {
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/* draw border */
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image.scan(padding_left - 1, height + 1, width + 2, 1, fill([255, 255, 255, 255]).bind(image)); // horizontal
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image.scan(padding_left - 1, 0, 1, height + 1, fill([255, 255, 255, 255]).bind(image)); // vertical (left)
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image.scan(padding_left + width + 1, 0, 1, height + 1, fill([255, 255, 255, 255]).bind(image)); // vertical (right)
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/* set font */
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const font = await import(/* webpackMode: "eager" */ "../../web/static/fonts/bmfonts/Roboto72White.fnt");
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await import(/* webpackMode: "eager" */ "../../web/static/fonts/bmfonts/Roboto72White.png");
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/* LoadFont needs an absolute url, so append the font name to self.docURL */
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const jimpFont = await jimp.loadFont(self.docURL + "/" + font.default);
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/* create a temporary scaled image */
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const textScale = 72 / 10;
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const textImage = new jimp(image.bitmap.width * textScale, image.bitmap.height * textScale, (err, image) => {});
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/* write min and max frequency */
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textImage.print(jimpFont, /* align to right */ (padding_left - 30) * textScale, (height - 10) * textScale, "0 Hz");
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textImage.print(jimpFont, /* align to right */ (padding_left - (Math.log10(MAX_FREQ) + 1) * 10) * textScale, 5 * textScale, `${(MAX_FREQ).toFixed(0)} Hz`);
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/* write min and max time */
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textImage.print(jimpFont, (padding_left - 5) * textScale, (height + 5) * textScale, "0 s");
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textImage.print(jimpFont, (padding_left + width) * textScale, (height + 5) * textScale, `${(channel.length / sampleRate).toFixed(0)} s`);
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/* draw the scaled image on the original image */
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textImage.scaleToFit(image.bitmap.width, image.bitmap.height);
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image.blit(textImage, 0, 0);
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}
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const rfft = new RFFT(frameSize, sampleRate);
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let frames = [];
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for (let start = 0; start < channel.length; start += (frameSize - overlap)){
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let chunk = channel.slice(start, start+frameSize);
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if (chunk.length < frameSize) {
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/* pad with zeros */
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const pad = new Float64Array(frameSize - chunk.length).fill(0);
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chunk = Float64Array.from([...chunk, ...pad]);
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console.log(chunk);
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}
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/* get frequency spectrum */
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const freq = rfft.forward(chunk);
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let frame = [];
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for (let i = 0; i < freq.length; i++) {
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/* convert to decibels */
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let strength = 10 * Math.log10(Math.abs(freq[i])) + gain;
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if (freq[i] == 0) // avoid -Infinity
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strength = 0;
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if (strength < 0)
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strength = 0;
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frame.push(strength);
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}
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frames.push(frame);
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}
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/* normalize */
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let max = 0;
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for (let i = 0; i < frames.length; i++) {
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for (let j = 0; j < frames[i].length; j++) {
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if (frames[i][j] > max)
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max = frames[i][j];
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}
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}
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/* draw */
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let pos_x = padding_left;
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for (let i = 0; i < frames.length; i++) {
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for (let j = 0; j < frames[i].length; j++) {
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const colorStrength = (frames[i][j] / max) * 255;
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let color;
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switch (colorScheme) {
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case "Green-Black":
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color = [0, colorStrength, 0, 255];
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break;
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case "Greyscale":
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color = [colorStrength, colorStrength, colorStrength, 255];
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break;
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case "Yellow-Blue":
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color = [colorStrength, colorStrength, Math.abs(50 - colorStrength), 255];
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break;
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case "Neon":
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color = [Math.sin(colorStrength/255) * 255, 0, Math.tanh(colorStrength) * 255, 255];
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break;
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default:
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throw new OperationError(`Unknown color scheme: ${colorScheme}`);
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}
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image.scan(pos_x, height - j, 1, 1, fill(color).bind(image));
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}
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pos_x++;
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}
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/* get image data */
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let imageBuffer;
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try {
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imageBuffer = await image.getBufferAsync(jimp.MIME_PNG);
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} catch (err) {
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throw new OperationError(`Error generating image. (${err})`);
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}
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return `<img src="data:image/png;base64,${toBase64(imageBuffer)}" />`
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}
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/**
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* Displays a spectrogram
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*
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* @param {byteArray} data containing the audio file
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* @returns {string} HTML
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*/
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async present(data, args) {
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console.log(args);
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if (!data.length) return "";
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// check file type
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const types = detectFileType(data);
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if (types[0].mime !== "audio/wav" && types[0].mime !== "audio/x-wav") {
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throw new OperationError("Only WAV files are supported");
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}
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// parse wave
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let wave;
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try {
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wave = new wavefile.WaveFile(data);
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}
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catch (err) {
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throw new OperationError("Invalid WAV file");
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}
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// get properties
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const numChannels = wave.fmt.numChannels;
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const sampleRate = wave.fmt.sampleRate;
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// get samples
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let sampleChannels = [];
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if (numChannels > 1) {
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sampleChannels = wave.getSamples(); // returns an array of arrays
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}
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else {
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sampleChannels.push(wave.getSamples()); // returns an array
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}
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// get the spectrogram html
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return this.getSpectrogram(sampleChannels, sampleRate, args);
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}
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}
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export default GenerateSpectrogram;
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