spiegel-keyman/common/predictive-text/unit_tests/headless/worker-trie-integration.js
2023-06-05 11:44:17 +07:00

116 lines
4.3 KiB
JavaScript

import { assert } from 'chai';
import { createRequire } from 'module';
const require = createRequire(import.meta.url);
import { LMLayer, SourcemappedWorker as Worker } from '#./node/index.js';
import { capabilities } from '@keymanapp/common-test-resources/model-helpers.mjs';
/*
* How to run the worlist
*/
describe('LMLayer using the trie model', function () {
let lmLayer;
let worker;
beforeEach(function() {
worker = Worker.constructInstance();
lmLayer = new LMLayer(capabilities(), worker);
});
afterEach(function () {
// As we're using Node worker threads here, failure to terminate them will cause the
// headless test run to hang after completion.
lmLayer.shutdown();
worker.terminate(); // should be covered by the former, but just in case... for CI stability.
});
describe('Prediction', function () {
var EXPECTED_SUGGESTIONS = 3;
it('will predict an empty buffer', function () {
// We're testing many as asynchronous messages in a row.
// this would be cleaner using async/await syntax.
// Not done yet, as this test case is a slightly-edited copy of the in-browser version.
return lmLayer.loadModel(
// We're running headlessly, so the path can be relative to the npm root directory.
require.resolve("@keymanapp/common-test-resources/models/simple-trie.js")
).then(function (_actualConfiguration) {
return Promise.resolve();
}).then(function () {
return lmLayer.predict(zeroTransform(), atEndOfBuffer(''));
}).then(function (suggestions) {
// TODO: not super sure what to assert here!
assert.isAtLeast(suggestions.length, EXPECTED_SUGGESTIONS);
return lmLayer.predict(type('t'), atEndOfBuffer(''));
}).then(function (suggestions) {
assert.isAtLeast(suggestions.length, EXPECTED_SUGGESTIONS);
return lmLayer.predict(type('h'), atEndOfBuffer('t'));
}).then(function (suggestions) {
assert.isAtLeast(suggestions.length, EXPECTED_SUGGESTIONS);
return lmLayer.predict(type('q'), atEndOfBuffer('the '));
}).then(function (suggestions) {
assert.isAtLeast(suggestions.length, EXPECTED_SUGGESTIONS);
lmLayer.shutdown();
return Promise.resolve();
});
});
});
describe('Regression tests', function () {
// Building the model with the default searchTermToKey implementation
// should also use the default implementation in the frontend.
//
// I've compiled a model with the defaults for the word 'naïve', and its
// search key is 'naive' accordingly (default searchTermToKey transforms
// to NFD and removes common diacritics).
//
// The lookup should also do the same to the input!
//
// https://community.software.sil.org/t/search-term-to-key-in-lexical-model-not-working-both-ways-by-default/3133
it('should use the default searchTermToKey()', function () {
return lmLayer.loadModel(
// We're running headlessly, so the path can be relative to the npm root directory.
require.resolve("@keymanapp/common-test-resources/models/naive-trie.js")
).then(function (_actualConfiguration) {
return Promise.resolve();
}).then(function () {
// Pretend we are typing 'na|ï'
// Notice that we are typing the diacritic!
return lmLayer.predict(type('ï'), atEndOfBuffer('na'));
}).then(function (rawSuggestions) {
// Discard the keep suggestion
var suggestions = rawSuggestions.filter(function skimKeepSuggestions(s) {
return s.tag !== 'keep'
})
assert.isAtLeast(suggestions.length, 1)
// We SHOULD get 'naïve' suggested
var topSuggestion = suggestions[0];
assert.equal(topSuggestion.displayAs, "naïve")
assert.include(topSuggestion.transform.insert, "ïve")
});
});
});
/**
* Type some text (as a transform).
* @param {string} text to type
* @return {Transform}
*/
function type(text) {
return { insert: text, deleteLeft: 0 };
}
/**
* Create a context at the end of the buffer with the given text.
* @param {string} buffer
* @return {Context}
*/
function atEndOfBuffer(buffer) {
return { left: buffer, startOfBuffer: buffer.length === 0, endOfBuffer: true }
}
function zeroTransform() {
return { insert: '', deleteLeft: 0 };
}
});