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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-19 00:47:55 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-19 00:47:55 +0000
commit26a029d407be480d791972afb5975cf62c9360a6 (patch)
treef435a8308119effd964b339f76abb83a57c29483 /toolkit/components/translation/LanguageDetector.sys.mjs
parentInitial commit. (diff)
downloadfirefox-26a029d407be480d791972afb5975cf62c9360a6.tar.xz
firefox-26a029d407be480d791972afb5975cf62c9360a6.zip
Adding upstream version 124.0.1.upstream/124.0.1
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
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+/* This Source Code Form is subject to the terms of the Mozilla Public
+ * License, v. 2.0. If a copy of the MPL was not distributed with this file,
+ * You can obtain one at http://mozilla.org/MPL/2.0/. */
+
+// workerManager is exported for tests.
+import { clearTimeout, setTimeout } from "resource://gre/modules/Timer.sys.mjs";
+
+const WORKER_URL = "resource://gre/modules/translation/cld-worker.js";
+
+/**
+ * The length of the substring to pull from the document's text for language
+ * identification.
+ *
+ * This value should ideally be one that is large enough to yield a confident
+ * identification result without being too large or expensive to extract.
+ *
+ * At this time, this value is not driven by statistical data or analysis.
+ *
+ * For the moment, while we investigate which language identification library
+ * we would like to use, keep this logic in sync with language-id-engine.sys.mjs
+ */
+const DOC_TEXT_TO_IDENTIFY_LENGTH = 1024;
+
+export var workerManager = {
+ // Since Emscripten can handle heap growth, but not heap shrinkage, we
+ // need to refresh the worker after we've processed a particularly large
+ // string in order to prevent unnecessary resident memory growth.
+ //
+ // These values define the cut-off string length and the idle timeout
+ // (in milliseconds) before destroying a worker. Once a string of the
+ // maximum size has been processed, the worker is marked for
+ // destruction, and is terminated as soon as it has been idle for the
+ // given timeout.
+ //
+ // 1.5MB. This is the approximate string length that forces heap growth
+ // for a 2MB heap.
+ LARGE_STRING: 1.5 * 1024 * 1024,
+ IDLE_TIMEOUT: 10 * 1000,
+
+ detectionQueue: [],
+
+ detectLanguage(aParams) {
+ return this.workerReady
+ .then(worker => {
+ return new Promise(resolve => {
+ this.detectionQueue.push({ resolve });
+ worker.postMessage(aParams);
+ });
+ })
+ .then(result => {
+ // We have our asynchronous result from the worker.
+ //
+ // Determine if our input was large enough to trigger heap growth,
+ // or if we're already waiting to destroy the worker when it's
+ // idle. If so, schedule termination after the idle timeout.
+ if (
+ aParams.text.length >= this.LARGE_STRING ||
+ this._idleTimeout != null
+ ) {
+ this.flushWorker();
+ }
+
+ return result;
+ });
+ },
+
+ _worker: null,
+ _workerReadyPromise: null,
+
+ get workerReady() {
+ if (!this._workerReadyPromise) {
+ this._workerReadyPromise = new Promise(resolve => {
+ let worker = new Worker(WORKER_URL);
+ worker.onmessage = aMsg => {
+ if (aMsg.data == "ready") {
+ resolve(worker);
+ } else {
+ this.detectionQueue.shift().resolve(aMsg.data);
+ }
+ };
+ this._worker = worker;
+ });
+ }
+
+ return this._workerReadyPromise;
+ },
+
+ // Holds the ID of the current pending idle cleanup setTimeout.
+ _idleTimeout: null,
+
+ // Schedule the current worker to be terminated after the idle timeout.
+ flushWorker() {
+ if (this._idleTimeout != null) {
+ clearTimeout(this._idleTimeout);
+ }
+
+ this._idleTimeout = setTimeout(
+ this._flushWorker.bind(this),
+ this.IDLE_TIMEOUT
+ );
+ },
+
+ // Immediately terminate the worker, as long as there no pending
+ // results. Otherwise, reschedule termination until after the next
+ // idle timeout.
+ _flushWorker() {
+ if (this.detectionQueue.length) {
+ this.flushWorker();
+ } else {
+ if (this._worker) {
+ this._worker.terminate();
+ }
+
+ this._worker = null;
+ this._workerReadyPromise = null;
+ this._idleTimeout = null;
+ }
+ },
+};
+
+export var LanguageDetector = {
+ /**
+ * Detect the language of a given string.
+ *
+ * The argument may be either a string containing the text to analyze,
+ * or an object with the following properties:
+ *
+ * - 'text' The text to analyze.
+ *
+ * - 'isHTML' (optional) A boolean, indicating whether the text
+ * should be analyzed as HTML rather than plain text.
+ *
+ * - 'language' (optional) A string indicating the expected language.
+ * For text extracted from HTTP documents, this is expected to
+ * come from the Content-Language header.
+ *
+ * - 'tld' (optional) A string indicating the top-level domain of the
+ * document the text was extracted from.
+ *
+ * - 'encoding' (optional) A string describing the encoding of the
+ * document the string was extracted from. Note that, regardless
+ * of the value of this property, the 'text' property must be a
+ * UTF-16 JavaScript string.
+ *
+ * @returns {Promise<Object>}
+ * @resolves When detection is finished, with a object containing
+ * these fields:
+ * - 'language' (string with a language code)
+ * - 'confident' (boolean) Whether the detector is confident of the
+ * result.
+ * - 'languages' (array) An array of up to three elements, containing
+ * the most prevalent languages detected. It contains a
+ * 'languageCode' property, containing the ISO language code of
+ * the language, and a 'percent' property, describing the
+ * approximate percentage of the input which is in that language.
+ * For text of an unknown language, the result may contain an
+ * entry with the languge code 'un', indicating the percent of
+ * the text which is unknown.
+ */
+ detectLanguage(aParams) {
+ if (typeof aParams == "string") {
+ aParams = { text: aParams };
+ }
+
+ return workerManager.detectLanguage(aParams);
+ },
+
+ /**
+ * Attempts to determine the language in which the document's content is written.
+ *
+ * For the moment, while we investigate which language identification library
+ * we would like to use, keep this logic in sync with language-id-engine.sys.mjs
+ * @returns {string | null}
+ */
+ async detectLanguageFromDocument(aDocument) {
+ // Grab a selection of text.
+ let encoder = Cu.createDocumentEncoder("text/plain");
+ encoder.init(aDocument, "text/plain", encoder.SkipInvisibleContent);
+ let text = encoder
+ .encodeToStringWithMaxLength(DOC_TEXT_TO_IDENTIFY_LENGTH)
+ .replaceAll("\r", "")
+ .replaceAll("\n", " ");
+
+ const { language, confident } = await workerManager.detectLanguage({
+ text,
+ });
+
+ workerManager.flushWorker();
+
+ return confident ? language : null;
+ },
+};