262 lines
9.7 KiB
JavaScript
262 lines
9.7 KiB
JavaScript
"use strict";
|
|
Object.defineProperty(exports, "__esModule", { value: true });
|
|
exports.process = process;
|
|
exports.output = output;
|
|
exports.keypress = keypress;
|
|
const AuralRendering = require("../audio/aural_rendering.js");
|
|
const Enrich = require("../enrich_mathml/enrich.js");
|
|
const HighlighterFactory = require("../highlighter/highlighter_factory.js");
|
|
const locale_js_1 = require("../l10n/locale.js");
|
|
const Semantic = require("../semantic_tree/semantic.js");
|
|
const SpeechGeneratorFactory = require("../speech_generator/speech_generator_factory.js");
|
|
const SpeechGeneratorUtil = require("../speech_generator/speech_generator_util.js");
|
|
const WalkerFactory = require("../walker/walker_factory.js");
|
|
const WalkerUtil = require("../walker/walker_util.js");
|
|
const rebuild_stree_js_1 = require("../walker/rebuild_stree.js");
|
|
const DomUtil = require("./dom_util.js");
|
|
const engine_js_1 = require("./engine.js");
|
|
const EngineConst = require("../common/engine_const.js");
|
|
const processor_js_1 = require("./processor.js");
|
|
const XpathUtil = require("./xpath_util.js");
|
|
const PROCESSORS = new Map();
|
|
function set(processor) {
|
|
PROCESSORS.set(processor.name, processor);
|
|
}
|
|
function get(name) {
|
|
const processor = PROCESSORS.get(name);
|
|
if (!processor) {
|
|
throw new engine_js_1.SREError('Unknown processor ' + name);
|
|
}
|
|
return processor;
|
|
}
|
|
function process(name, expr) {
|
|
const processor = get(name);
|
|
try {
|
|
return processor.processor(expr);
|
|
}
|
|
catch (_e) {
|
|
throw new engine_js_1.SREError('Processing error for expression ' + expr);
|
|
}
|
|
}
|
|
function print(name, data) {
|
|
const processor = get(name);
|
|
return engine_js_1.Engine.getInstance().pprint
|
|
? processor.pprint(data)
|
|
: processor.print(data);
|
|
}
|
|
function output(name, expr) {
|
|
const processor = get(name);
|
|
try {
|
|
const data = processor.processor(expr);
|
|
return engine_js_1.Engine.getInstance().pprint
|
|
? processor.pprint(data)
|
|
: processor.print(data);
|
|
}
|
|
catch (_e) {
|
|
console.log(_e);
|
|
throw new engine_js_1.SREError('Processing error for expression ' + expr);
|
|
}
|
|
}
|
|
function keypress(name, expr) {
|
|
const processor = get(name);
|
|
const key = processor instanceof processor_js_1.KeyProcessor ? processor.key(expr) : expr;
|
|
const data = processor.processor(key);
|
|
return engine_js_1.Engine.getInstance().pprint
|
|
? processor.pprint(data)
|
|
: processor.print(data);
|
|
}
|
|
set(new processor_js_1.Processor('semantic', {
|
|
processor: function (expr) {
|
|
const mml = DomUtil.parseInput(expr);
|
|
return Semantic.xmlTree(mml);
|
|
},
|
|
postprocessor: function (xml, _expr) {
|
|
const setting = engine_js_1.Engine.getInstance().speech;
|
|
if (setting === EngineConst.Speech.NONE) {
|
|
return xml;
|
|
}
|
|
const clone = DomUtil.cloneNode(xml);
|
|
let speech = SpeechGeneratorUtil.computeMarkup(clone);
|
|
if (setting === EngineConst.Speech.SHALLOW) {
|
|
xml.setAttribute('speech', AuralRendering.finalize(speech));
|
|
return xml;
|
|
}
|
|
const nodesXml = XpathUtil.evalXPath('.//*[@id]', xml);
|
|
const nodesClone = XpathUtil.evalXPath('.//*[@id]', clone);
|
|
for (let i = 0, orig, node; (orig = nodesXml[i]), (node = nodesClone[i]); i++) {
|
|
speech = SpeechGeneratorUtil.computeMarkup(node);
|
|
orig.setAttribute('speech', AuralRendering.finalize(speech));
|
|
}
|
|
return xml;
|
|
},
|
|
pprint: function (tree) {
|
|
return DomUtil.formatXml(tree.toString());
|
|
}
|
|
}));
|
|
set(new processor_js_1.Processor('speech', {
|
|
processor: function (expr) {
|
|
const mml = DomUtil.parseInput(expr);
|
|
const xml = Semantic.xmlTree(mml);
|
|
const descrs = SpeechGeneratorUtil.computeSpeech(xml);
|
|
return AuralRendering.finalize(AuralRendering.markup(descrs));
|
|
},
|
|
pprint: function (speech) {
|
|
const str = speech.toString();
|
|
return AuralRendering.isXml() ? DomUtil.formatXml(str) : str;
|
|
}
|
|
}));
|
|
set(new processor_js_1.Processor('json', {
|
|
processor: function (expr) {
|
|
const mml = DomUtil.parseInput(expr);
|
|
const stree = Semantic.getTree(mml);
|
|
return stree.toJson();
|
|
},
|
|
postprocessor: function (json, expr) {
|
|
const setting = engine_js_1.Engine.getInstance().speech;
|
|
if (setting === EngineConst.Speech.NONE) {
|
|
return json;
|
|
}
|
|
const mml = DomUtil.parseInput(expr);
|
|
const xml = Semantic.xmlTree(mml);
|
|
const speech = SpeechGeneratorUtil.computeMarkup(xml);
|
|
if (setting === EngineConst.Speech.SHALLOW) {
|
|
json.stree.speech = AuralRendering.finalize(speech);
|
|
return json;
|
|
}
|
|
const addRec = (json) => {
|
|
const node = XpathUtil.evalXPath(`.//*[@id=${json.id}]`, xml)[0];
|
|
const speech = SpeechGeneratorUtil.computeMarkup(node);
|
|
json.speech = AuralRendering.finalize(speech);
|
|
if (json.children) {
|
|
json.children.forEach(addRec);
|
|
}
|
|
};
|
|
addRec(json.stree);
|
|
return json;
|
|
},
|
|
print: function (json) {
|
|
return JSON.stringify(json);
|
|
},
|
|
pprint: function (json) {
|
|
return JSON.stringify(json, null, 2);
|
|
}
|
|
}));
|
|
set(new processor_js_1.Processor('description', {
|
|
processor: function (expr) {
|
|
const mml = DomUtil.parseInput(expr);
|
|
const xml = Semantic.xmlTree(mml);
|
|
const descrs = SpeechGeneratorUtil.computeSpeech(xml);
|
|
return descrs;
|
|
},
|
|
print: function (descrs) {
|
|
return JSON.stringify(descrs);
|
|
},
|
|
pprint: function (descrs) {
|
|
return JSON.stringify(descrs, null, 2);
|
|
}
|
|
}));
|
|
set(new processor_js_1.Processor('enriched', {
|
|
processor: function (expr) {
|
|
return Enrich.semanticMathmlSync(expr);
|
|
},
|
|
postprocessor: function (enr, _expr) {
|
|
const root = WalkerUtil.getSemanticRoot(enr);
|
|
let generator;
|
|
switch (engine_js_1.Engine.getInstance().speech) {
|
|
case EngineConst.Speech.NONE:
|
|
break;
|
|
case EngineConst.Speech.SHALLOW:
|
|
generator = SpeechGeneratorFactory.generator('Adhoc');
|
|
generator.getSpeech(root, enr);
|
|
break;
|
|
case EngineConst.Speech.DEEP:
|
|
generator = SpeechGeneratorFactory.generator('Tree');
|
|
generator.getSpeech(enr, enr);
|
|
break;
|
|
default:
|
|
break;
|
|
}
|
|
return enr;
|
|
},
|
|
pprint: function (tree) {
|
|
return DomUtil.formatXml(tree.toString());
|
|
}
|
|
}));
|
|
set(new processor_js_1.Processor('rebuild', {
|
|
processor: function (expr) {
|
|
const rebuilt = new rebuild_stree_js_1.RebuildStree(DomUtil.parseInput(expr));
|
|
return rebuilt.stree.xml();
|
|
},
|
|
pprint: function (tree) {
|
|
return DomUtil.formatXml(tree.toString());
|
|
}
|
|
}));
|
|
set(new processor_js_1.Processor('walker', {
|
|
processor: function (expr) {
|
|
const generator = SpeechGeneratorFactory.generator('Node');
|
|
processor_js_1.Processor.LocalState.speechGenerator = generator;
|
|
generator.setOptions({
|
|
modality: engine_js_1.Engine.getInstance().modality,
|
|
locale: engine_js_1.Engine.getInstance().locale,
|
|
domain: engine_js_1.Engine.getInstance().domain,
|
|
style: engine_js_1.Engine.getInstance().style
|
|
});
|
|
processor_js_1.Processor.LocalState.highlighter = HighlighterFactory.highlighter({ color: 'black' }, { color: 'white' }, { renderer: 'NativeMML' });
|
|
const node = process('enriched', expr);
|
|
const eml = print('enriched', node);
|
|
processor_js_1.Processor.LocalState.walker = WalkerFactory.walker(engine_js_1.Engine.getInstance().walker, node, generator, processor_js_1.Processor.LocalState.highlighter, eml);
|
|
return processor_js_1.Processor.LocalState.walker;
|
|
},
|
|
print: function (_walker) {
|
|
return processor_js_1.Processor.LocalState.walker.speech();
|
|
}
|
|
}));
|
|
set(new processor_js_1.KeyProcessor('move', {
|
|
processor: function (direction) {
|
|
if (!processor_js_1.Processor.LocalState.walker) {
|
|
return null;
|
|
}
|
|
const move = processor_js_1.Processor.LocalState.walker.move(direction);
|
|
return move === false
|
|
? AuralRendering.error(direction)
|
|
: processor_js_1.Processor.LocalState.walker.speech();
|
|
}
|
|
}));
|
|
set(new processor_js_1.Processor('number', {
|
|
processor: function (numb) {
|
|
const num = parseInt(numb, 10);
|
|
return isNaN(num) ? '' : locale_js_1.LOCALE.NUMBERS.numberToWords(num);
|
|
}
|
|
}));
|
|
set(new processor_js_1.Processor('ordinal', {
|
|
processor: function (numb) {
|
|
const num = parseInt(numb, 10);
|
|
return isNaN(num) ? '' : locale_js_1.LOCALE.NUMBERS.wordOrdinal(num);
|
|
}
|
|
}));
|
|
set(new processor_js_1.Processor('numericOrdinal', {
|
|
processor: function (numb) {
|
|
const num = parseInt(numb, 10);
|
|
return isNaN(num) ? '' : locale_js_1.LOCALE.NUMBERS.numericOrdinal(num);
|
|
}
|
|
}));
|
|
set(new processor_js_1.Processor('vulgar', {
|
|
processor: function (numb) {
|
|
const [en, den] = numb.split('/').map((x) => parseInt(x, 10));
|
|
return isNaN(en) || isNaN(den)
|
|
? ''
|
|
: process('speech', `<mfrac><mn>${en}</mn><mn>${den}</mn></mfrac>`);
|
|
}
|
|
}));
|
|
set(new processor_js_1.Processor('latex', {
|
|
processor: function (ltx) {
|
|
if (engine_js_1.Engine.getInstance().modality !== 'braille' ||
|
|
engine_js_1.Engine.getInstance().locale !== 'euro') {
|
|
console.info('LaTeX input currently only works for Euro Braille output.' +
|
|
' Please use the latex-to-speech package from npm for general' +
|
|
' LaTeX input to SRE.');
|
|
}
|
|
return process('speech', `<math data-latex="${ltx}"></math>`);
|
|
}
|
|
}));
|